REVIEW article

Front. Immunol., 17 October 2023

Sec. NK and Innate Lymphoid Cell Biology

Volume 14 - 2023 | https://doi.org/10.3389/fimmu.2023.1271699

ILC3: a case of conflicted identity

  • Department of Immunology, Institute for Biological Research “Siniša Stanković” - National Institute of Republic of Serbia, University of Belgrade, Belgrade, Serbia

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Abstract

Innate lymphoid cells type 3 (ILC3s) are the first line sentinels at the mucous tissues, where they contribute to the homeostatic immune response in a major way. Also, they have been increasingly appreciated as important modulators of chronic inflammatory and autoimmune responses, both locally and systemically. The proper identification of ILC3 is of utmost importance for meaningful studies on their role in immunity. Flow cytometry is the method of choice for the detection and characterization of ILC3. However, the analysis of ILC3-related papers shows inconsistency in ILC3 phenotypic definition, as different inclusion and exclusion markers are used for their identification. Here, we present these discrepancies in the phenotypic characterization of human and mouse ILC3s. We discuss the pros and cons of using various markers for ILC3 identification. Furthermore, we consider the possibilities for the efficient isolation and propagation of ILC3 from different organs and tissues for in-vitro and in-vivo studies. This paper calls upon uniformity in ILC3 definition, isolation, and propagation for the increased possibility of confluent interpretation of ILC3’s role in immunity.

1 Introduction

Group 3 innate lymphoid cells (ILC3s) have been identified as critical regulators of intestinal homeostasis and immune responses to both commensal and pathogenic bacteria in the gut. Subsequent studies showed that ILC3s are present in a variety of tissues and organs, including the lungs, skin, and lymphoid tissues. ILC3s are now recognized as important players in the immune response against different pathogens and are suggested to interfere with the development of inflammatory and autoimmune diseases (1, 2). The discovery of ILC3 has opened new avenues for the study of the role of the innate immune system in health and disease. Overall, the discovery of these cells represents a significant milestone in our understanding of the innate immune system.

ILCs were first identified in the early 2010s by researchers studying the immune system in the intestinal mucosa. Before being classified as a distinct cell population, they had been identified in mice and humans as cells that lack antigen-specific T-cell or B-cell receptors (TCR or BCR), expressing natural killer (NK) cell markers and producing various cytokines in response to stimulation. There are three populations of ILCs, namely, ILC1, ILC2, and ILC3, broadly corresponding to Th1, Th2, and Th17/Treg cells, respectively. Initially, ILC3s were described as RORγt-dependent NKp46+ NK cells that produce IL-22 and provide mucosal immune defense in the intestine of mice (35). At the same time, IL-2-producing NKp44+ NK cells were detected in human mucosa-associated lymphoid tissues, such as tonsils and Peyer’s patches (6). Due to the almost simultaneous discovery by several research groups, IL-22-producing natural cytotoxicity receptor-expressing (NCR+) cells have been referred to as NK22 (6, 7), NCR22 (8), NKR-Lti (9), or ILC22 (10). Given the similarities between IL-22-producing NCR+ ILC and NK cells, researchers sought to elucidate their developmental pathways. Although RORγt+ ILCs were originally thought to be a subpopulation of NK cells, cell fate-mapping studies showed that their developmental pathways were distinct. This conclusion is supported by the fact that NK cells do not express RORγt during development (8, 9). Further distinctions between ILC3 and NK cells are observed at the mature stage. Like T helper (Th) 17 cells, ILC3s express RORγt and aryl hydrocarbon receptor (AhR) and produce a high amount of IL-22 in response to IL-23. On the other hand, NK cells from peripheral or cord blood cultured under Th17 conditions with or without AhR ligands are unable to produce IL-22 (6). Additionally, under Th17-polarizing conditions, IL-22-producing NCR+ ILC cells do not produce IL-17 (6). In light of this, it has been suggested that ILC3s and NK cells undergo distinct differentiation pathways.

Since ILC3s express RORγt, another explanation was that they may develop from lymphoid tissue inducer (LTi) cells, previously known to also express RORγt (9). LTi cells are involved in the formation of lymphoid tissue during fetal development in mice and humans. While LTi cells express IL-17 and IL-22, NKp46+ ILCs express only IL-22 (11, 12). Moreover, LTi cells are distinguished from (NKp46+/−) ILCs by expressing markers such as CD4, CD25, and CCR6 on their surface (13, 14). In contrast to LTi, which are only found during fetal development, “adult LTi,” called LTi-like cells, can be found in the lamina propria of the intestine and in the tonsils, and they arise from bone marrow precursors (15). Although LTi-like cells and LTi are very similar in their expression profile, only the former express OX40L and CD30L (16). Evidence that NCR+ ILCs are a distinct lineage from LTi was provided by studies showing that RORγt+α4β7+ cells develop into CD4+ and CD4 LTi, whereas RORγt+α4β7 give rise to IL-22-producing NKp46+ cells in mice (12). Therefore, the term ILC3 was introduced by Spits and colleagues to describe the group 3 ILCs which are distinct from LTi (17). However, it is still not clear if NCR+ ILC3s have a different developmental pathway from LTi. It is generally presumed that LTi cells arise in the fetal liver and are primarily involved in developing lymphoid tissues, while NCR+ ILC3s develop from bone marrow lymphoid progenitors in the gut and lymphoid tissue. Accordingly, RORγt+CD34+α4β7+ hematopoietic progenitor cells have been defined in humans as IL-22+ ILC3-specific precursors (18). Still, there was a report that LTi cells gave rise to ILC3 in fetal lymph nodes (11), thus suggesting that the development of LTi and ILC3 is not strictly divergent. Furthermore, NCR+ ILC3 can be generated from RORγt+ precursors stemming from LTi-like cells. Indeed, in a study on mice, it was shown that NKp46+RORγt+ cells differentiate directly from LTi-like cells (NKp46RORγt+) (9). Along the same line, it was demonstrated that human RORγt+NKp46+ cells can be generated in vitro from LTi-like cells obtained from adult tonsils (19).

As in mice, the development of ILC in humans begins with the common lymphoid progenitor (CLP), characterized as lineage(Lin)CD34+CD45RA+CD10+KIT, from which all lymphocyte subsets, including ILC, T, and B cells can develop. Intermediate stages of NK development are also thought to differentiate from this progenitor, at least in secondary lymphoid tissues, such as tonsils and lymph nodes (20). ILC differentiation further leads to the early tonsil progenitor cells (EToP), with two distinct phenotypes, EToP1 (LinCD34+CD10+KIT) or EToP2 (LinCD34+CD10+KIT+) (21, 22). EToP2 can be divided into two groups based on ST2 (IL-33R, IL1r1) expression and on their ability to form ILC (21). Unlike ST2 EToP, which can give rise to T cells and dendritic cells (DCs) in vitro, ST2+ EToPs give rise exclusively to ILC, both in vitro and in vivo, when isolated from pediatric tonsils and injected into immunodeficient NGS mice (22), and cannot give rise to non-ILC cells. Thus, these cells are the earliest human common ILC progenitors identified to date (22). Two other restricted progenitors were identified, one of which is a LinCD34CD7+IL-7R+KIT+ ILC progenitor (ILCP), found in cord blood, fetal liver, peripheral blood, and other human tissues (23). This progenitor is common for ILC3, LTi, and ILC2 cells. Another progenitor, identified downstream of the ILCP, is CD34KIT+CD56+, termed restricted ILCP (rILCP) (24), and can give rise to NK cells, ILC1, and ILC3, but not to ILC2 cells (25). This may partially explain the ILC plasticity observed in different tissues and under different conditions. Single-cell RNA sequencing of human ILC3 and ILC1 from the tonsils and intestine and bioinformatics analysis (RNA velocity) recently enabled the identification of a cluster of cells that represent a spectrum of cell conversions between ILC3 and ILC1, with a pronounced bias toward ILC1. Cell transfers into humanized mice demonstrated in-vivo conversion of ILC3 to ILC1, which occurred preferentially in TGF-β-expressing tissues, such as the spleen (26). As observed in mice, the formation of mature human ILC3 subsets not only occurs during fetal development but can also occur after birth locally in tissues, such as adult tonsils and intestine (19). Different developmental pathways and marked plasticity even in adult ILC complicate their classification into subtypes.

2 Literature survey results

A detailed survey of papers on ILC3 was performed using the PubMed database (https://pubmed.ncbi.nlm.nih.gov/) until 15 June 2023. Searching for “ILC3 mouse” and “ILC3 human” retrieved more than 300 articles each. Papers containing data on ILC3 identification by flow cytometry (121 and 226 for human and mouse ILC3, respectively) were analyzed for the following information: phenotypic markers used for the definition of ILC3, lineage markers used for excluding immune cells other than ILC3, and organ/tissue of ILC3 origin. The obtained information was compiled in Tables 1, 2, dedicated to human and mouse ILC3, respectively. The overview of the tables shows inconsistency in the markers used for the identification of ILC3, as well as of those used in lineage cocktails for the exclusion of non-ILC3 cells. The most commonly used inclusion markers for human ILC3 are CD117, CD127, and CD161, while CD294 is the most frequently used exclusion marker (Figure 1A). The most frequently used marker combinations for the identification of human ILC3 are 1) CD127+CD117+CD294, 2) CD127+CD117+CD161+CD294, and 3) CD127+CD117+ (Figure 1B). The most commonly used markers for mouse ILC3 are RORγt, CD127, and CD90 (Figure 1C), while the prevalent combinations are CD127+RORγt+ and CD90+RORγt+ (Figure 1D). A detailed list of the markers and their combinations is given in Table 3. Interestingly, RORγt is frequently used as a single marker for ILC3 identification in mice and is by far the predominantly used marker for ILC3 in mouse, but not in human samples (vide infra). The adequacy of the phenotypic markers used for defining ILC3 in relation to the tissue/organ of their origin is discussed in the following chapters.

Table 1

PhenotypeLineageTissue/organReference
CD103CD3, CD19Tonsils(27)
CD117+CD3, CD19, CD34, CD94Tonsils(28)
CD117+CD94/NKG2AUCB(29)
CD117+CD294CD3, CD19, CD16, CD62LIleum(30)
CD117+CD294CD3, CD1a, CD11c, CD14, CD19, CD34, CD123, TCRαβ, TCRγδ, CD303, FcεR1α, CD94PB(31)
CD117+RORγt+CD94/NKG2AUCB(32)
CD117+RORγt+CD14, CD19, CD3, CD11b, CD11c, TCRγδColon(33)
CD127+CD3Intestine(34)
CD127+CD3Colon LP(35)
CD127+CD117+CD1a, CD3, CD14, CD19, CD94, CD34, CD123, TCRαβ, TCRγδ, CD303, FcεR1αTonsils, intestine, mLN(36)
CD127+CD117+CD3, CD5, CD14, CD19, CD11cColon(37)
CD127+CD117+Data not foundColon(38)
CD127+CD117+CD3, CD19, CD14, CD28, CD11cPBMC(39)
CD127+CD117+CD19, CD11b, CD11c, CD3, CD5, CD14, FcεR1α,Colon(40)
CD127+CD117+CD1a, CD3, CD14, CD19, CD20, CD203cNasal epithelium(41)
CD127+CD117+CD3, CD4, CD5, TCRαβ, TCRγδ, CD33, CD14, CD19, CD235amLN(42)
CD127+CD117+CD294CD3, CD20, CD13, CD123, CD303, CD34, FcεR1α, CD11cColon LP, tonsils(43)
CD127+CD117+CD161+CD3, TCRαβ, TCRγδ, CD34, CD123, CD94, CD14, CD303, FcεR1α, CD1a, CD11c, CD19, B220PB, UCB, tonsils(44)
CD127+CD117+CD161+CD3, CD4, CD19, CD20, CD14, CD34, CD11c, CD94Tonsils, PB(45)
CD127+CD117+CD161+CD294CD3, CD14, CD16, CD20, CD56PB(46)
CD127+CD117+CD161+CD294CD1a, CD3, CD14, CD19, CD34, CD94, CD123, FcεR1α, TCRαβ, TCRγδ, CD303PBMC, tonsils(47)
CD127+CD117+CD161+CD294CD1a, CD34, CD3, TCRαβ, TCRγδ, CD14, CD19, CD16, CD94, CD123, CD303, FcεR1αPB(48)
CD127+CD117+CD161+CD294CD3, CD4, CD14, CD16, CD19, CD21, CD94, CD11c, CD123, CD303PBMC(49)
CD127+CD117+CD161+CD294CD3, TCRαβ, TCRγδ, CD34, CD123, CD94, CD14, CD303, FcεR1α, CD1a, CD11c, CD19, B220PBMC(50)
CD127+CD117+CD161+CD294CD3, TCRαβ, TCRγδ, CD34, CD123, CD94, CD14, CD303, FcεR1α, CD1a, CD11c, CD19, B220UCB(51)
CD127+CD117+CD161+CD294CD3, CD19, CD20, CD14, CD11cPB(52)
CD127+CD117+CD161+CD294CD1a, CD3, CD4, CD8, CD14, CD16, CD19, CD34, CD94, CD303, TCRαβ, TCRγδ, FcεR1αThymus(53)
CD127+CD117+CD161+CD294CD3, CD14, CD19, CD20, CD94, FcεR1α, TCRαβ, TCRγδ, CD123, CD34Spleen, PBMC(54)
CD127+CD117+CD161+CD294CD3PBMC(55)
CD127+CD117+CD294CD1a, CD3, CD11c, CD14, CD19, CD34, CD94, CD123, CD303, FcεR1α, TCRαβ, TCRγδPBMC, skin(56)
CD127+CD117+CD294CD1a, CD3, CD4, CD5, CD14, CD19, CD16, CD34, CD94, CD123, CD303, TCRαβ, TCRγδ, FcεR1αPB, UCB(57)
CD127+CD117+CD294CD3, CD19, CD11b, CD11cBladder(58)
CD127+CD117+CD294CD3, CD14, CD16, CD19, CD20, CD56Abdominal fat, PBMC(59)
CD127+CD117+CD294CD3, CD19Distal ileum(60)
CD127+CD117+CD294CD3, CD19, CD94, CD14, CD34, CD303PB, tonsils(61)
CD127+CD117+CD294CD3, CD4, CD14, CD16, CD19, CD8, CD15CD20, CD33, CD34, CD203c, FcεR1αLip tissue(62)
CD127+CD117+CD294CD1a, CD8, CD19, CD3, CD4, CD14, CD16, CD34, CD123, TCRαβ, TCRγδ,PB(63)
CD127+CD117+CD294CD1a, CD3, CD14, CD11c, CD19, CD34, CD94, CD123, CD303, FcεR1α, TCRαβ, TCRγδEntheseal tissue(64)
CD127+CD117+CD294CD34, CD3, CD19, FcεR1α, CD123, CD94, CD14, CD11c, CD1a, CD303PBMC(65)
CD127+CD117+CD294CD3, CD19, CD14, TCRαβ, TCRγδ, CD94, CD16, FcεR1α, CD34, CD123, CD303PBMC(66)
CD127+CD117+CD294CD34, CD3, CD19, FcεR1α, CD123, CD94, CD14, CD11c, CD1a, CD303PB(67)
CD127+CD117+CD294CD3, CD1a, CD14, CD19, TCRαβ, TCRγδ, CD1, CD303, FcεR1α, CD235α, CD66b, CD34, CD20, CD94UCB, tonsils(68)
CD127+CD117+CD294Data not foundPB(69)
CD127+CD117+CD294CD3, CD14, CD19, CD11c, CD303a, CD15, CD203c, FcεR1αPBMC(70)
CD127+CD117+CD294CD1a, CD34, CD3, TCRαβ, TCRγδ, CD14, CD19, CD16, CD94, CD123, CD303, FcεR1αPB(71)
CD127+CD117+CD294CD3, CD4, CD8, CD14, CD15, CD16, CD19, CD20, CD33, CD34, CD203c, FcεR1αPBMC(72)
CD127+CD117+CD294CD3, CD19, CD94, CD1a, CD11c, CD123, CD303, CD14, FcεR1α, CD34Tonsils(73)
CD127+CD117+CD294CD1a, CD3, CD4, CD56, CD16, CD11c, CD14, CD19, CD94, CD34, CD123, TCRαβ, TCRγδ, CD303, FcεR1αPB(74)
CD127+CD117+CD294CD3PB(75)
CD127+CD294CD3, CD19, CD14, CD94Tonsils(19)
CD127+IL-23R+CD2, CD3, CD14, CD16, CD19, CD56, CD235aPBMC(76)
CD127+RORγt+CD15, CD14, CD3, CD19, CD56, CD11bDecidua(77)
CD300LF+CD196+CD3, CD19Tonsils(26)
CD336+CD3, CD14, CD19, CD20, CD94UCB(78)
CD336+CD56+CD3, CD1a, CD14, CD19, TCRαβ, TCRγδ, CD123, CD303, FcεR1α, CD235a, CD66b, NKG2AUCB(79)
CD45+CD3, CD4, CD8, CD56, CD14, CD19, TCRγδIleum(80)
CD45+CD117+CD3, CD5, CD14, FcεR1α, CD11b, CD11c, CD19Colon LP(13)
CD45+CD117+CD3, CD14, CD19, CD56, CD34, CD11a, CD94UCB(81)
CD45+CD117+CD294TCRαβ, TCRγδ, CD19, CD94, CD1a, CD123, CD14, CD303, FcεR1α, CD34PBMC, ileum/colon(82)
CD45+CD117+CD294CD3, CD19, CD20PB, skin(83)
CD45+CD127+CD19, CD14, CD3Decidua, tonsils, PBMC(84)
CD45+CD127+CD3, CD14, CD19, CD20, CD123, CD141, FcεR1αTonsils, colon(85)
CD45+CD127+CD3, CD14, CD16, CD19, CD20, CD56PBMC(86)
CD45+CD127+ CD117+CD294CD3, CD5, CD11c, CD16, CD19, TCRαβPBMC(87)
CD45+CD127+CD117+CD294CD3, CD5, CD11b, CD11c, CD14, CD16, CD19, CD34, CD123, FcεR1αPBMC(88)
CD45+CD127+ CD117+CD294CD1a, CD3, CD4, CD14, CD16, CD19, CD34, CD303, FcεR1αPB(89)
CD45+CD127+CD117+CD3, CD14, CD19, CD34Inguinal LN(90)
CD45+CD127+CD117+CD3ε, CD11c, CD11b, CD14, CD19, CD49b, FcεR1αSputum, PB(91)
CD45+CD127+CD117+CD34, CD19, CD20, CD3, CD16, CD14, CD11c, CD123PB(92)
CD45+CD127+CD117+CD3, CD19, CD11c, CD11bLung(93)
CD45+CD127+CD117+CD3, CD14, CD19, CD20Duodenum(94)
CD45+CD127+CD117+CD19, CD3, CD1a, CD11b, CD34, FcεR1α, CD14, CD11c, CD94Distal ileum(95)
CD45+CD127+CD117+CD3, CD11b, CD11c, CD14, CD19, CD34, CD94, CD123, FcεR1αTonsils, intestine(96)
CD45+CD127+CD117+CD3, CD19, CD94, CD14, CD16, CD1a, CD303, CD123, FcεR1α, CD34Periodontal ligament tissues(97)
CD45+CD127+CD117+CD3, CD11c, CD14, CD19, CD34, CD94, CD123, FcεR1αColon(98)
CD45+CD127+CD117+CD1a, CD3, CD11c, CD14, CD19, CD94, CD34, CD123, TCRαβ, TCRγδ, CD303, FcεR1αTonsils, LP(99)
CD45+CD127+CD117+CD11b, CD11c, B220, CD3ε, CD5, CD8αTerminal ileum(100)
CD45+CD127+CD117+CD34, CD19, CD14, CD3, CD94Decidua(101)
CD45+CD127+CD117+CD34, CD14, CD19, CD3, CD94Decidua(102)
CD45+CD127+CD117+CD19, CD14, CD3, CD94Decidua(103)
CD45+CD127+CD117+CD3, CD4, CD5, CD14 CD16, CD19, TCRαβ, TCRγδ, CD94, NKG2APB(104)
CD45+CD127+CD117+CD161+CD3, TCRαβ, TCRγδ, CD14, CD16, CD19, CD94, FcεR1α, CD123, CD303Tonsils(105)
CD45+CD127+CD117+CD161+CD3, CD19Colonic mucosa, PBMC(106)
CD45+CD127+CD117+CD161+CD294CD14, CD1a, CD3, CD34, CD123, FcεR1α, TCRαβ, TCRγδ, CD303, CD19Tonsils, ileum/colon(107)
CD45+CD127+CD117+CD161+CD294CD3PB(108)
CD45+CD127+CD117+CD161+CD294CD3, CD14, FcR1α, CD34, CD123, CD1a, TCRαβ, TCRγδ, CD94, CD303, CD19Tonsils(109)
CD45+CD127+CD117+CD161+CD294CD1a, CD3, CD14, CD16, CD19, CD34, CD94, CD123, CD303, FcεR1α, TCRαβ, TCRγδ,Skin, PBMC(110)
CD45+CD127+CD117+CD161+CD294CD1a, CD3, CD4, CD8, CD14, CD16, CD19, CD34, CD94, CD123, CD303, FcεR1α, TCRαβ, TCRγδPBMC, tonsils, UCB, bone marrow(111)
CD45+CD127+CD117+CD161+CD294CD1a, CD3, CD14, CD19, FcεR1α, CD34, CD123, CD94, CD303, TCRαβ, TCRγδTonsils, PBMC(112)
CD45+CD127+CD117+CD161+CD294CD1a, CD3, CD11c, CD14, CD16, CD19, CD34, CD123, FcεR1α, NKp80, CD303, TCRαβ, TCRγδIntestine, colon, PB(113)
CD45+CD127+CD117+CD161+CD294CD1a, CD4, TCRαβ, TCRγδ, CD3, CD11c, CD14, CD94, CD19, CD123, CD303, CD34, FcεR1α, CD16PB(114)
CD45+CD127+CD117+CD161+CD294CD3, CD4, CD19, CD94, CD1a, CD11c, CD123, BDAC2, CD14, CD34, FcεR1αPBMC(115)
CD45+CD127+CD117+CD161+CD294CD11c, CD123, CD14, CD19, CD1a, CD3, CD303a, CD94, FcεR1α, TCRαβ, TCRγδ, CD34Colon, PBMC(116)
CD45+CD127+CD117+CD161+CD294WithoutPB(117)
CD45+CD127+CD117+CD161+CD294CD3, CD4, CD19, CD11bPBMC(118)
CD45+CD127+CD117+CD161+CD294CD3, CD45CD19, CD14, CD1a, CD94, CD34PB(119)
CD45+CD127+CD117+CD161+CD294CD3, CD1CD11c, CD34, CD123, TCRγδ, TCRαδ, CD303, FcεR1α, CD19, CD14, CD94PB, UCB, placenta(120)
CD45+CD127+CD117+CD294CD3, CD4, CD8, CD11c, CD14, CD19, CD34, CD94, CD123, FcεR1αIleum, colon(121)
CD45+CD127+CD117+CD294CD3, CD14, CD19, CD11b, CD11c, CD49b, FcεR1αTerminal ileum, colon(122)
CD45+CD127+CD117+CD294CD3, CD16, CD19, CD20, CD14, CD56Thymus, PB(123)
CD45+CD127+CD117+CD294CD3, CD11c, CD14, CD16, CD19, CD20, CD34, CD56, CD94, FcεR1αPB(124)
CD45+CD127+CD117+CD294CD3, CD19, CD11c, CD11b, CD14Ileal LP, PBMC(125)
CD45+CD127+CD117+CD294CD3, CD11c, CD14, CD16, CD19, CD34PBMC(126)
CD45+CD127+CD117+CD294CD3, CD5, CD11b, CD11c, CD19, FcεR1αIntestine(127)
CD45+CD127+CD117+CD294CD3, CD14, CD16, CD19, CD20, CD56PB(128)
CD45+CD127+CD117+CD294CD3, CD14, CD19, CD303, CD123, CD1a, TCRαβ, TCRγδ, CD34, FcεR1α,PB(129)
CD45+CD127+CD117+CD294CD3, CD19, CD14, CD34, CD94, CD123, TCRαβ, TCRγδ, FcεR1αLiver, PB(130)
CD45+CD127+CD117+CD294CD3, CD14, CD16, CD19, CD20, CD56PB(131)
CD45+CD127+CD117+CD294TCRγδ, TCRαβ, CD3, CD19, CD14, CD16, CD94, CD123, CD34, CD303, FcεR1αIntestine, PB(132)
CD45+CD127+CD117+CD294Data not foundPBMC(133)
CD45+CD127+CD117+CD294CD3, CD14, CD19, CD20Terminal ileum LP, PBMC(134)
CD45+CD127+CD117+CD294CD3, CD14, CD19, CD94PB(135)
CD45+CD127+CD117+CD294CD3, CD14, CD16, CD19, CD20, CD56PBMC(136)
CD45+CD127+CD117+CD294CD3, CD11c, CD14, CD16, CD19, CD20, CD34, CD56, CD94, FcεR1αPBMC(137)
CD45+CD127+CD117+CD294CD14, CD16, CD19, FcεR1α, CD3, CD34, CD123, CD1a, CD303, TCRαβ, TCRγδ, CD94Tonsils(138)
CD45+CD127+CD117+CD294CD11b, CD14, CD16, CD303a, TCRαβ, TCRγδ, CD19, CD123, CD34, FcεR1α, CD1a, CD94, CD3, CD20, CD11cPB(139)
CD45+CD127+CD117+CD294CD3, CD19, CD14, CD34, CD94LN, spleen, tonsils, PB(140)
CD45+CD127+CD117+CD294CD1a, CD3, CD4, CD11c, CD14, CD19, CD34, CD123, TCRαβ, TCRγδ, CD303, FcεR1α, CD94PB, skin(141)
CD45+CD127+CD117+ CD294CD3, CD19, CD14, CD11c, CD123, CD34, FcεR1α, CD94, TCRαβPB(142)
CD45+CD127+CD117+CD294CD3, CD19, CD14, CD11c, CD123, CD34, FcεR1α, TCRαβ, CD94PB(143)
CD45+CD127+CD117+CD294CD3, CD11c, CD14, CD19, CD34, CD94, CD123, FcεR1αPB, peritoneal fluid, endometrium(144)
CD45+CD127+CD294CD3, TCRαβ, TCRγδ, CD14, CD19, CD20, CD94, NKp80, CD16, CD1a, CD12, FcεR1α, BDCA2Liver, tonsils, colon, blood(145)
CD45+CD127+RORγt+CD3, TCRαβ, CD20, CD11c, CD11b, CD123, CD303, CD14, FcεR1α, CD31, CD34.Endomyocardium(146)
CD45+CD127+RORγt+CD3, CD5, CD19Cerebrospinal fluid(147)
CD45+CD127+RORγt+CD3, CD5, CD11b, CD11c, CD14, FcεR1αBALF, lungs(148)
RORγt+CD3, CD14, CD16, CD19, CD20, CD56PB(149)

Phenotypic characterization of human ILC3.

BALF, bronchoalveolar fluid; LN, lymph node; LP, lamina propria; mLN, mesenteric lymph node; PB, peripheral blood; PBMC, peripheral blood mononuclear cell; UCB, umbilical cord blood.

Table 2

PhenotypeLineageTissue/organReference
CD117+CD4+CD3, CD19PBMC(150)
CD117+RORγt+Data not foundSI LP(151)
CD117+RORγt+CD3, CD8α, CD11c, CD19, B220, Ly6G/6C, TCRβ, TCRγδ, NK1.1Spleen(152)
CD127+CD117+CD3, B220, CD11b, Ter119, Ly6GAorta, spleen(153)
CD127+CD117+RORγt+Data not foundFetal spleen(154)
CD127+CD117+RORγt+CD3Neonatal SI LP(155)
CD127+CD117+RORγt+NK1.1PL(156)
CD127+Id2+CD3, CD19, CD4, CD5, CD8, TCRβ, TCRγδ, NK1.1, CD11b, Ly6G/6C, CD11c, Ter119, NK1.1, Bcl11bLung(157)
CD127+IL-22+CD3SI LP(158)
CD127+KLRGCD19, CD3, CD11c, CD25, Ly6G/6CLung(159)
CD127+RORγt+CD3SI LP(160)
CD127+RORγt+CD3ε, CD5, CD19, B220, Ly6G/6CSI LP(161)
CD127+RORγt+CD3, B220, CD5, NK1.1, CD11b, CD11cColon, mLN(40)
CD127+RORγt+CD3, B220, CD11b, Ly6G, Ter119Skin(162)
CD127+RORγt+CD3, B220, CD11c, CD11b, CD5Ear skin, auricular LN, SI LP, lung, mLN(163)
CD127+RORγt+CD3ε, CD5, CD19, B220, CD11b, CD11c, Ter119, F4/80, Ly6G/6C, CD49b, FcεR1αLiver, spleen(65)
CD127+RORγt+Data not foundSI LP(164)
CD127+RORγt+CD3ε, CD8α, CD19, B220, CD11c, CD11b, Ter119, Ly6G/6C, TCRβ, TCRγδ, NK1.1Blood(165)
CD127+RORγt+TCRγδ, CD3ε, CD19, CD5, Ly6G/6C, Ter119SI LP(166)
CD127+RORγt+CD3, CD19SI(167)
CD127+RORγt+CD3, B220, CD11b, Ter119, Ly6G/6C, CD11c, NK1.1, CD8α, CD4Spleen(168)
CD127+RORγt+Data not foundBlood, spleen, kidney(169)
CD127+RORγt+B220, CD3, CD5, CD11b, CD11c, CD19, CD49b, CD123, F4/80, FcεR1α, Ly6G/6C, Ter119, CD8α, CD3iThymus, mLN(170)
CD127+RORγt+Data not foundLung(171)
CD127+RORγt+KLRG1CD3, CD5, CD11b, CD11c, B220SI(172)
CD127+RORγt+CD3, CD8α, CD19, Ly6G/6CSI LP(173)
CD45+CD117+RORγt+CD3, Ly6G/6C, CD11b, B220, Ter119Colon(174)
CD45+CD117+RORγt+CD3, CD8, CD11b, CD19, MHC II, F4/80, CD161, Ly6G, F4/80Neonatal lung(175)
CD45+CD127+CD3, NK1.1SI LP(176)
CD45+CD127+CD3, CD19, CD8α, CD11b, CD4, NK1.1SI(177)
CD45+CD127+Data not foundColon LP(178)
CD45+CD127+NK1.1, other data not foundSI LP(179)
CD45+CD127+CD117+CD3, CD19, CD11c, CD11b, Ly6G/6C, NK1.1SI LP(180)
CD45+CD127+CD117+Data not foundColon, SI(181)
CD45+CD127+CD117+CD3, CD19, B220, CD11b, Ly6G/6C, CD11c, TCRβ, TCRγδColon LP(182)
CD45+CD127+CD117+RORγt+CD3ε, CD11b, B220, Ter119, Ly6G/6C, ICOSLung(183)
CD45+CD127+CD117+RORγt+CD3ε, CD11b, B220, Ter119, Ly6G/6CSI LP(184)
CD45+CD127+CD117+CD4+RORγt+CD3, other data not foundLP(185)
CD45+CD127+CD117+RORγt+IL-23R+CD3, CD19, CD11c, Ly6G, F4/80, CD14, NK1.1PL, LP, spleen(186)
CD45+CD127+CD25+CD3, CD5, CD8, NK1.1, B220, CD11c, CD11bmLN(13)
CD45+CD127+CD4+CD3Spleen(187)
CD45+CD127+RORγ+NK1.1, other data not foundPooled spleen, lung, intestine, peripheral LN(188)
CD45+CD127+RORγtCD3, Ly6G/6C, CD11b, B220, Ter119Lungs(189)
CD45+CD127+RORγt+CD8, CD3ε, TCRβ, TCRγδ, B220, Ter119, Ly6G/6C, NK1.1Bladder, kidney, SI(190)
CD45+CD127+RORγt+CD3, B220, CD11b, Ter119, Ly6G/6CSI(191)
CD45+CD127+RORγt+ICOS, other data not foundLung(192)
CD45+CD127+RORγt+Data not foundColon LP(193)
CD45+CD127+RORγt+CD3ε, TCRβ, CD19Colon(194)
CD45+CD127+RORγt+CD19, CD3, CD5, F4/80, FcεR1α, Ly6G/6CSI(195)
CD45+CD127+RORγt+CD3ε, B220, Ly6G/6C, CD11c, CD11b, Ter119, FcεR1αLiver(196)
CD45+CD127+RORγt+CD3, CD11b, CD11c, B220, Ter119, FcεR1α, T-betSI(197)
CD45+CD127+RORγt+Data not foundColon LP(198)
CD45+CD127+RORγt+CD3, NK1.1, CD11b, Ter119, Ly6G/6C, CD11c, B220Colon LP(199)
CD45+CD127+RORγt+CD3ε, CD5, CD8α, NK1.1, CD11c, CD11b, B220SI LP(127)
CD45+CD127+RORγt+CD3, CD19, Ly6G/6CMeninges(200)
CD45+CD127+RORγt+CD3, CD19Colon LP, SI LP PP(201)
CD45+CD127+RORγt+CD3SI LP(202)
CD45+CD127+RORγt+Data not foundSI LP(203)
CD45+CD127+RORγt+CD3, CD4, CD19, NK1.1, CD11b, CD11c, Ly6G/6C, F4/80, Ter119SI LP(204)
CD45+CD127+RORγt+TCRβ, TCRδ, CD19, CD11c, CD11b, Ly6G/6C, Ter119SI LP(205)
CD45+CD127+RORγt+B220, CD3, CD5, CD11b, CD11cmLN(206)
CD45+CD127+RORγt+CD3, CD19SI LP(207)
CD45+CD127+RORγt+CD3SI LP(100)
CD45+CD127+RORγt+CD3ε, CD5, F4/80, CD11b, CD19, Ly6GLung, bone marrow, SI LP(148)
CD45+CD127+RORγt+CD3SI LP, colon LP(208)
CD45+CD127+RORγt+CD3, CD4, CD5, CD11b, CD11c, CD19, B220, F4/80, FcεR1α, Ly6G/6C, TCRβ, TCRγδ, Ter119Lung, intestine(209)
CD45+CD127+RORγt+CD3, B220, CD11b, Ter119, Ly6G/6CSI LP(210)
CD45+CD127+RORγt+CD3, CD19, CD11cSpleen(210)
CD45+CD127+RORγt+CD3, B220, CD19, CD11b, Ter119, Ly6G/6C, CD5, FcεR1αColon LP, SI LP(211)
CD45+CD127+RORγt+CD3, B220, CD19, CD11b, Ter119, Ly6G/6C, CD5, FcεR1αColon LP, SI LP(212)
CD45+CD127+RORγt+CD3, Ly6G/6C, CD11b, B220, Ter119Lung(213)
CD45+CD127+RORγt+CD3, CD4, CD14, CD16, CD19, CD8, CD15, CD20, CD34, CD203Meninges(147)
CD45+CD127+RORγt+CD3, CD19SI(214)
CD45+CD127+RORγt+CD3, CD19, NK1.1, CD11bLiver(215)
CD45+CD127+RORγt+CD3SI(216)
CD45+CD127+RORγt+CD11b, CD3ε, B220, SiglecF, FcεR1αLung(217)
CD45+CD127+RORγt+CD3, CD4, CD11b, CD11c, CD19, CD49b, F4/80, FcεR1αColon(122)
CD45+CD127+RORγt+Data not foundmLN, inguinal LN(218)
CD45+CD127+RORγt+KLRG1CD5, CD8α, CD3, Ly6G/6C, TCRγδ, FcεR1α, CD19, CD11c, NK1.1SI LP(219)
CD45+CD127+RORγt+CD3, CD4, CD19, CD11b, CD11c, Ly6G/6C, F4/80, Ter119SI LP(220)
CD45+CD127+RORγt+CD3, CD19Colon LP, SI LP(221)
CD45+CD127+RORγt+CD3, CD11b, B220, Ly6G/6C, Ter119SI LP(222)
CD45+CD127+RORγt+CD3ε, CD11b, B220, Ly6G/6C, Ter119Colon LP(223)
CD45+CD127+RORγt+CD3ε, CD11b, B220, Ter119, Ly6G/6C, CD49bLN, spleen, lung(224)
CD45+CD90+CD11b, CD11c, B220, Ly6G/6C, FcεR1α, Ter119Skin(225)
CD45+CD90+CD3, CD5, CD19, B220SI LP, colon LP(226)
CD45+CD90+CD3ε, CD5, CD19, CD11b, CD11c, NK1.1, KLRG1SI(227)
CD45+CD90+NK1.1SI LP(202)
CD45+CD90+CD3ε, CD11b, CD45R, TER119, Ly6GLy6CPP(228)
CD45+CD90+CD3, CD5, CD19, B220, Ly6G, FcεR1α, CD11c, CD11b, Ter119, NK1.1, CD16/CD32SI LP, colon LP(229)
CD45+CD90+CD3Colon LP(230)
CD45+CD90+CD3ε, CD5, CD19SI LP(231)
CD45+CD90+KLRG1CD8, CD11b, CD11c, CD19, NK1.1, Ly6G/6C, Ter119, CD3εmLN(232)
CD45+CD90+CD127+Data not foundmLN, inguinal LN(218)
CD45+CD90+CD127+CD11b, CD3ε, CD5, CD11c, CD19, NK1.1, Ly6G/6C, Ter119, TCRγδLung(233)
CD45+CD90+CD127+CD3, CD4, CD5, CD8, CD11b, CD11c, CD19, CD49b, Ly6G/6C, NK1.1Spleen, mLN, PP, SI, colon(234)
CD45+CD90+CD127+CD3, CD19SI LP(235)
CD45+CD90+CD127+KLRG1CD3ε, CD5, CD8α, NK1.1, CD11c, CD11b, B220, CD27SI LP(127)
CD45+CD90+CD127+RORγt+CD3ε, CD4, CD8, TCRγδ, CD11b, CD11c, CD19, B220, Ly6G/6C, NK1.1, Ter119.Spleen, mLN, SI LP, colon, lung, liver, bone marrow(236)
CD45+CD90+CD127+RORγt+CD19, CD3, CD11b, Ly6G/6C, CD11cSpleen(237)
CD45+CD90+CD127+RORγt+CD11b, CD11c, B220, CD3ε, CD5, CD8αSI LP, colon LP(100)
CD45+CD90+CD127+RORγt+CD11b, CD11c, CD19, CD3ε, CD5, CD8αmLN, spleen, PP(238)
CD45+CD90+CD127+RORγt+KLRG1CD3, CD5, CD19, B220, Ly6G/6C, NK1.1, CD11b, CD11cIntestine, mLN(98)
CD45+CD90+CD127+RORγt+KLRG1CD3ε, CD49b, CD11b, CD94, CD5, TCRγδ, CD19, Ter119, Ly6G/6C, CD45RB, Ly6GLung(239)
CD45+CD90+CD127+RORγt+KLRG1CD3ε, CD5, CD8α, NK1.1, TCRγδ, CD11b, CD11c, B220SI, colon(240)
CD45+CD90+CD127+CD117+RORγt+KLRG1CD3ε, TCRβ, CD19, B220, Ly6G/6C, CD11bSI LP, lung, mLN(241)
CD45+CD90+CD127+KLRG1B220, CD11c, NK1.1Spleen, colon LP(242)
CD45+CD90+CD127+RORγt+CD3, CD5, NKK1.1, B220, CD11b, CD11cmLN, SI LP(243)
CD45+CD90+CD127+RORγt+Ter119, F4/80, CD11b, CD11c, FcεR1α, Ly6G/6C, CD19, CD3, TCRβ, TCRγδSI LP, skin(244)
CD45+CD90+CD127+RORγt+CD3, B220, CD11b, CD11c Ter119, Ly6G/6C, TCRγδBladder(58)
CD45+CD90+CD127+RORγt+CD3ε, CD5, FcεR1α, F4/80, CD11b, CD11c, B220mLN, SI LP, PP(125)
CD45+CD90+CD127+RORγt+CD3e, CD11b, Ter119, B220, Ly6G/6CColon LP(245)
CD45+CD90+CD127+RORγt+CD3ε, CD8α, TCRβ, TCRγδ, CD19, Ly6G/6C, CD11c, Ter119Colon LP(246)
CD45+CD90+CD127+RORγt+KLRG1CD3, CD19, NK1.1SI LP(247)
CD45+CD90+IL-17+B220, CD11b, CD11c, Ly6G/6C, NK1.1Skin(248)
CD45+CD90+IL-23R+CD3, NK1.1, CD11bIleum LP(50)
CD45+CD90+KLRG1CD3ε, CD8α, CD19, B220, CD11c, CD11b, Ter119, Ly6G/6C, TCRβ, TCRγδ, NK1.1SI LP, mLN, spleen, lung(165)
CD45+CD90+KLRG1CD3, Ly6G/6C, CD11b, B220, Ter119, NK1.1Ileum LP, colon LP, mLN, spleen(249)
CD45+CD90+RORγt+CD4, CD8, CD11b, CD11c, CD19, B220, NK1.1, Ter119, Ly6G/6C, FcεR1α, TCRβ, TCRγ, CD3εSkin(250)
CD45+CD90+RORγt+CD3, Ly6G/6C, CD11b, B220, Ter119SI LP(251)
CD45+CD90+RORγt+CD3, B220, CD11c, CD11b, NK1.1Colon LP, spleen, SI LP(252)
CD45+CD90+RORγt+CD3, other data not foundSI LP, ileal LP(253)
CD45+CD90+RORγt+B220, CD3, NK1.1, CD11bSI LP, blood, inguinal LN, spleen(44)
CD45+CD90+RORγt+CD3Colon, SI, skin, lung(254)
CD45+CD90+RORγt+CD3, CD19SI LP, colon LP(255)
CD45+CD90+RORγt+Data not foundSI LP, colon LP, cecum(256)
CD45+CD90+RORγt+CD11b, CD11c, CD19SI LP(257)
CD45+CD90+RORγt+CD3, CD5, CD8α, CD11b, B220, NK1.1mLN, PP, SI LP(258)
CD45+CD90+RORγt+CD3, CD49b, TCRβ, TCRγδ, CD5, F4/80, CD11c, Ly6G/6C, CD19, FcεR1α, B220, CD27Lung(259)
CD45+CD90+RORγt+CD3ε, CD11b, CD11c, F4/80, Ly6G/6C, Ter119, B220SI LP(260)
CD45+CD90+RORγt+NK1.1Bone marrow(235)
CD45+CD90+RORγt+CD3, TCRβ, CD5, CD19, CD11b, CD11c, Ly6G/6C, FcεR1α, CD31, Ter119Heart(146)
CD45+CD90+RORγt+CD11b, CD11c, B220, CD4, TCRβLung(261)
CD45+CD90+RORγt+WithoutSI LP, colon LP, mLN(262)
CD45+CD90+RORγt+Data not foundColon LP(262)
CD45+CD90+RORγt+Ter119, CD11b, Ly6G/6C, CD3ε, B220, TCRβ, NK1.1Colon LP(263)
CD45+CD90+RORγt+CD4, TCRβ, TCRγδ, CD8α, CD8β, CD19, CD11b, CD11c, DX5, Ly6G/6C, Ter119, NK1.1SI LP, colon LP(264)
CD45+CD90+RORγt+WithoutSI LP(265)
CD45+CD90+RORγt+CD11c, CD11b, NK1.1, B220, CD3Colon LP(266)
CD45+CD90+RORγt+CD3, CD19, B220, CD11c, Ly6G/6CSI LP(267)
CD45+CD90+RORγt+CD3Colon LP(268)
CD45+CD90+RORγt+CD3, CD5, CD19, CD11c, CD11bSI(269)
CD45+CD90+RORγt+CD3ε, Ly6G/6C, CD11b, B220, Ter119SI LP, colon LP, lung, liver, PP, skin(270)
CD45+CD90+RORγt+Data not foundColon, SI(271)
CD45+CD90+RORγt+CD3ε, CD5, CD19SI(272)
CD45+CD90+RORγt+CD3SI LP(273)
CD45+CD90+RORγt+ KLRG1Ly6G/6C, CD3ε, CD11b, B220Liver(274)
CD45+CD90+RORγt+Data not foundSI(275)
CD45+CD90+RORγt+KLRG1CD3, B220, CD49a, CD11b, CD11c, NK1.1SI(128)
CD45+CD90+RORγt+KLRG1CD11cColon LP, SI(242)
CD45+CD90+RORγt+KLRG1CD3, Ly6G/6C, CD11b, B220, Ter119, NK1.1Colon LP, SI LP, mLN, spleen, PP(276)
CD45+CD90+Sca-1hiCD3, B220, CD11b, Ly6G/6C, Ter119Neonatal SI, colon, mLN, spleen(277)
CD45+CD90hiRORγt+CD3, Ly6G/6C, CD11b, B220, Ter119SI, colon(278)
CD45+IL-17+CD3, CD19, CD11b, CD11c, CD49b, F4/80, FcεR1αLung(279)
CD45+IL-17+TCRγδ, TCRβSpleen(280)
CD45+IL-17+IL-22+CD5, CD11b, B220, Ly6G/6C, Ter119, CD3Colon LP(281)
CD45+RORγt+CD3ε, CD19Liver(282)
CD45+RORγt+TCRαβ, TCRγδ, CD5, CD3ε, CD19, Ly6G/6C, F4/80Colon LP, SI LP(283)
CD45+RORγt+CD3, CD11b, B220, Ly6G, Ter119Colon LP(284)
CD45+RORγt+Data not foundColon LP(285)
CD45+RORγt+CD3, CD19SI LP(286)
CD45+RORγt+CD3, CD11b, B220, Ly6G, Ter119Colon, mLN(287)
CD45+RORγt+CD3, CD19SI LP(288)
CD45+RORγt+CD3, CD19SI, colon, cecum(289)
CD45+RORγt+CD3, CD19SI LP(290)
CD45+RORγt+CD3SI LP(291)
CD45+RORγt+CD3, CD19SI LP, colon LP(292)
CD45+RORγt+CD3, B220, Ter119, Ly6G/6C, CD11b, CD19, NK1.1SI LP(293)
CD45+RORγt+CD3, CD19SI LP(294)
CD45+RORγt+TCRβ, B220, TCRγdmLN, jejunum LP, colon LP, cecum(295)
CD45+RORγt+Data not foundSI LP, colon LP(296)
CD45+RORγt+NK1.1, other data not foundColon LP(297)
CD45+RORγt+CD3, CD19, B220, Ly6G/6C, CD11c, CD11bPooled axillary, brachial, inguinal and cervical LN, mLN(298)
CD45+RORγt+Data not foundIleum, colon(299)
CD45+RORγt+CD3ε, CD19SI LP(300)
CD45+RORγt+CD3ε, CD11b, B220, Ly6G/6CSI LP(301)
CD45+RORγt+CD3ε, CD5, CD19SI LP, colon LP, mLN(302)
CD45+RORγt+CD19, CD3SI LP(303)
CD45+RORγt+CD3, CD4, CD8, CD19, Ly6G/6C, Ter119SI LP(304)
CD45+RORγt+CD3, CD11b, B220, Ly6G, Ter119Colon LP(190)
CD45+RORγt+CD3, Ly6G/6C, CD11b, B220, Ter119Colon, mLN(305)
CD45+RORγt+CD3ε, CD11b, B220, Ter119, Ly6G/6CColon LP(306)
CD45+RORγt+CD3Lung(307)
CD45+RORγt+CD3ε, NK1.1, Ly6G/6C, CD11b, B220, Ter119Cornea, conjunctiva, lacrimal gland(308)
CD45+RORγt+KLRG1CD3, CD5, B220, CD11c, NK1.1SI, Colon, cecum LP(242)
CD90+CD3e, CD8α, B220, CD11b, CD11cNeonatal SI LP(309)
CD90+CD117+KLRG1CD3ε, CD8α, CD11b, CD11c, CD19, B220, Ly6G/6C, TCRβ, TCRγ/δ, Ter119, NK1.1Spleen, SI(310)
CD90+CD127+CD3, CD11c, B220Spleen(311)
CD90+CD127+CD117+CD3, B220, CD11c, Ly6G/6C, NK1.1Spleen(312)
CD90+CD127+CD25+CD3, CD19, CD11c, NK1.1mLN(313)
CD90+CD127+KLRG1CD3, CD11b, CD11c, CD14, CD19, TCRβ, TCRγ, NK1.1SI LP, colon LP(314)
CD90+CD127+KLRG1Sca-1loCD3ε, CD4, CD8α, CD5, NK1.1, B220, CD11b, CD11c, Gr-1, FcεRIα, Ter119SI LP(315)
CD90+CD127+RORγt+CD5, CD3, CD11b, CD11c, B220, Ly6G/6C, Ter119Colon(316)
CD90+CD127+RORγt+CD3, CD5, B220, NK1.1, F4/80, Ly6G/6CColon LP(317)
CD90+CD127+RORγt+CD3, Ly6C/6G, CD11b, B220, Ter119SI(318)
CD90+CD127+RORγt+CD3, CD11b, Ly6G/6C, B220, NK1.1, CD11c, Ter119Lung(319)
CD90+CD127+RORγt+Data not foundCecum, mLN(320)
CD90+CD127+RORγt+CD3, CD5, B220, CD11b, Ly6G/6C, Ly6B, Ter119Lung(321)
CD90+CD127+RORγt+CD3ε, TCRβ, GL3, CD19, Ly6G/6C, CD11b, F4/80, Ter119, NK1.1, CD49b, CD11cLN, spleen(322)
CD90+CD127+RORγt+CD3ε, CD11b, B220, Ter119, Ly6G/6CSI LP(323)
CD90+CD127+RORγt+KLRG1CD3, CD5, CD19, CD11b, TCRγδColon LP, SI LP(37)
CD90+IL-23R+CD3SI LP(324)
CD90+RORγt+CD3, CD8α, TCRβ, TCRγδ, CD11b, CD11c, B220, Ly6G/6C, NK1.1, Ter119SI(325)
CD90+RORγt+CD3, TCRγδ, CD11b, NK1.1Colon LP(33)
CD90+RORγt+TCRβ, TCRγδ, CD19, Ly6G/6C, Ter119, NK1.1, CD11c, CD11bColon LP(326)
CD90+RORγt+Data not foundColon LP(327)
CD90+RORγt+CD5, CD8, CD3, B220, CD11c, CD11b, T-betSI(328)
CD90+RORγt+CD3Colon LP, SI LP(329)
CD90+RORγt+KLRG1CD3, CD8, CD11c, CD19, B220, Ly6G/6C, TCRβ, TCRγδ, Ter119SI, colon(330)
RORγt+CD3ε, CD5, CD8α, CD19, Ter119, Ly6G/6C, TCRβ, TCRδSpleen, bone marrow, SI LP(331)
RORγt+CD3, CD19, B220, CD11b, CD11c, Ter119SI LP(332)
RORγt+CD3e, CD11b, B220, Ter119, Ly6G/6CPP(228)
RORγt+CD3Colon LP(333)
RORγt+CD3, CD4, CD8, CD16, CD19, CD11c, FcεR1αColon LP(334)
RORγt+CD3εSI LP(335)
RORγt+CD3ε, CD5, CD19SI LP(231)
RORγt+CD3, CD19SI LP I IE(336)
RORγt+CD3, CD5, CD19, B220, Ly6G, CD11b, CD11c, Ter119SI LP, colon LP(229)
RORγt+CD3, B220, CD11b, CD11cSpleen, colon LP, SI LP(337)
RORγt+CD3, B220, CD11b, CD11cColon LP(338)
RORγt+CD3εSI LP(339)
RORγt+CD11b, CD11c, Ter119, B220, CD3ε, Ly6G/6C, TCRβSI LP(340)
RORγt+CD3ε, B220, CD11b, CD11cSI, colon(341)
RORγt+CD161+KLRG1CD3, TCRβ, CD11b, CD14, CD19, B220, TCRγδ, NK1.1SI LP(342)
RORγt+IL-22+WithoutSI LP(343)
RORγt+MHC II+WithoutSI LP(344)
RORγt+MHC II+CD3, CD19, NK1.1, CD11b, B220, F4/80, CD11c, Ly6G/6C, FcεR1αSpleen, mLN(345)

Phenotypic characterization of mouse ILC3.

LP, lamina propria; PL, peritoneal lavage; PP, Peyer’s patches; SI, small intestine; LN, lymph node; mLN, mesenteric lymph node.

Figure 1

Figure 1

Markers and their combinations used for the identification of ILC3. Visual representation of data from Tables 1, 2. The number of papers in which specific markers were used for the identification of human (A) and mouse (B) ILC3s. The most frequently used marker combinations for the identification of human (C) and mouse (D) ILC3s (% of all papers examined).

Table 3

HumanMouse
MarkersnCombinationsnMarkersnCombinationsn
CD127114CD127+CD117+CD29448RORγt189CD127+RORγt+60
CD117112CD127+CD117+CD161+CD29425CD127117RORγt+48
CD29479CD127+CD117+24CD9089CD90+RORγt+32
CD16130CD127+CD117+CD161+5KLRG119CD90+CD127+RORγt+20
RORγt7CD127+5CD11716CD9010
IL-23R1CD117+CD2944IL-174CD127+CD117+RORγt+8
CD127+RORγt+4IL-23R3CD90+RORγt+KLRG15
CD117+4CD90+CD127+5
CD117+RORγt+2CD127+5
RORγt+2CD127+CD117+4
CD127+IL-23R+1CD90+CD127+RORγt+KLRG14
CD127+CD2941CD117+RORγt+3
Rest30

Markers used for the identification of human and mouse ILC3.

n, number of studies.

3 Lineage cocktails

CD3 is a marker that is targeted by almost all lineage cocktails. Additionally, in some of the mouse studies, CD3 is the only negative marker used for ILC3 identification. The logic behind this strategy is clear when RORγt is used as the key positive ILC3 marker. As RORγt is expressed by T cells and ILC3 (346), the latter can be identified as CD3RORγt+ cells. It is known that human bone marrow and blood neutrophils, as well as mouse lung neutrophils, can express RORγt (347, 348). However, neutrophils are easily distinguished from the lymphocytic populations by flow cytometry using forward and side scatter. Also, there is a report on a RORγt-expressing DC subset in the spleen (349), while the existence of a similar subset was not confirmed in the intestine (98). Thus, CD3 and RORγt can be used as the basic discriminators of ILC3 in the murine intestine, but not the spleen. As for human samples, it seems that RORγt can be expressed by all ILC subsets, as well as by NK cells (24), thus making it an unsuitable marker for ILC3 discrimination.

Other T-cell markers can be used instead of CD3, such as TCRαβ and TCRγδ. Lineage cocktails used in some studies contained both CD3- and TCR-specific antibodies, even though this combination seems redundant having in mind that CD3 already defines all TCR-positive cells. Additionally, CD4 and CD8a were used as lineage markers in some studies. While there are no data on the expression of CD8 in ILC3, there are studies showing that the LTi ILC3 subset can express CD4 (160, 350), thus making CD4 inadequate as a lineage marker. Also, there are data on the expression of RORγt by CD3+CD4CD8 cells in patients with systemic lupus erythematosus and psoriasis (351, 352), which contribute to the view that CD3, and not CD4 and CD8, should be used in lineage cocktails. CD5-specific antibodies are also frequently used in mice, as this marker is specific for T cells and a subset of B cells.

The second most commonly used lineage markers are B-cell markers, including B220 (CD45RA) and CD19. CD45RA is an isoform of CD45, a molecule expressed on all types of hematopoietic cells except mature erythrocytes and platelets (353). Although it is expressed in mouse DC (354), naive T cells (355), and T cells undergoing apoptosis (356, 357), it is considered a pan-B-cell marker in mice, present on pre-B cells and at all stages of B-cell maturation (358), making it a suitable negative marker for phenotyping ILC. CD19 is a molecule belonging to the immunoglobulin superfamily, and its expression is specific to normal and neoplastic B cells, as well as follicular DC (359). Both B220 and CD19 molecules are suitable B-cell markers in mice, whereas in humans, B220 is detected on ILC3 in the blood and cord blood, with heterogeneous expression in tonsillar, intestinal, and lung ILC3 (360). Therefore, CD19, and not B220, should be used as a B-cell-related lineage component for human ILC detection.

The most challenging distinction is the one between NK and ILC3 cells. NK cells and ILC share the same progenitor, while the mature forms of ILC also share some markers with NK cells. For instance, ILC1, some ILC3, and NK cells express T-bet. Therefore, it is important to distinguish these cells when detecting ILC3. NK1.1-specific antibodies are frequently used in mice lineage cocktails, while CD94 (Klrd1) is preferentially used in human samples to exclude NK cells, although the use of NKG2A has also been reported in some studies. Additionally, CD56 is used to exclude NK cells and other immune cells able to express this molecule, such as T cells, DC, and monocytes (361). Some researchers also use markers specific for lymphocyte subpopulations, such as CD49b for some T cells (Tr1, NKT), Klrg1 for effector memory CD8+ T and NK cells, or CD27 for activated effector T cells, NK cells, and activated B cells. One important issue is that different mouse strains carry different NK-related markers. For example, the Balb/c strain lacks NK1.1 (362), so CD49b can be used for the determination of NK cells.

CD11b, CD11c, Gr1, Ly6G, Ly6C, and Ly6B are markers that are used in lineage cocktails to eliminate monocytes, DC, granulocytes, macrophages, NK cells, and subsets of T and B cells. Additionally, F4/80 is a relevant marker of murine macrophages. FcϵRIα is also used to detect epidermal Langerhans cells, eosinophils, mast cells, basophils, and various antigen-presenting cells. However, there are reports on ILC3 expressing CD11b and CD11c (27), thus compromising their use in lineage cocktails. Finally, Ter119 is routinely used to exclude erythrocytes from analyses.

Different lineage cocktails can be used while studying ILC3. It is on the researchers to make the best choice for a particular species and tissue in which ILC3s are being detected. It seems that the uncritical use of redundant markers in the lineage cocktails does not improve the efficacy of ILC3 detection, while the use of markers that are potentially expressed by ILC3 increases the risk of excluding some ILC3 subpopulations from the analysis. So, the advice on lineage cocktails might be the following: keep it simple and efficient.

4 Markers used for the discrimination of ILC3

Various markers are used, alone or in combination, to identify ILC3. CD45 is a marker of hematopoietic cells and is, therefore, expressed by ILC3. The use of anti-CD45 antibodies is essential when identifying ILC3 in the intestine, lungs, and other organs and tissues where there is plenty of non-hematopoietic cells. There, gating on CD45+ cells as one of the first steps in flow cytometry analysis is a prerequisite to prevent contamination with non-hematopoietic cells and to get precise data on ILC3. On the other hand, identification of ILC3 in the peripheral blood, spleen, tonsils, or lymph nodes does not require the use of anti-CD45 antibodies, as there are few non-hematopoietic cells, if any. Still, it is clear from Tables 1, 2 that some authors do not use CD45-specific antibodies where necessary, and the results of such studies should be carefully considered.

Table 4 presents the most common markers used in ILC3-related studies. Both CD nomenclature and alternative names are used in research papers, thus confusing readers who are not specialized in the ILC3 field. While alternative names have the advantage of functional comprehension and historical connotation, CD designation offers a more systematic approach. Thus, it seems productive to use CD nomenclature as much as possible, or at least to provide information on CD designation in the papers that use alternative names.

Table 4

CD nomenclatureAlternative namesFunction
CD90Thy-1Not elucidated, cell adhesion
CD117c-kit, SCFRReceptor tyrosine kinase
CD127IL-7RαIL-7 receptor
CD161Klrb1b, NKRP1ANegative regulator of cytotoxicity
CD196CCR6Chemokine receptor for CXCL20
CD294CRTH2, DP-2Prostaglandin D2 receptor 2
CD335NCR1, NKp46Cytotoxicity triggering receptor
CD336NCR2, NKp44Cytotoxicity triggering receptor

Cluster of differentiation (CD) and alternative nomenclature of common ILC3 markers.

CCR6, C-C motif chemokine receptor 6; CRTH2, chemoattractant receptor-homologous molecule expressed on TH2 cells; IL-7R-α, interleukin-7 receptor subunit alpha; Klrb1b, killer cell lectin-like receptor subfamily B, member 1; Klrd1, killer cell lectin-like receptor subfamily D, member 1; NCR, natural cytotoxicity triggering receptor; SCFR, mast/stem cell growth factor receptor; Thy-1, thymocyte differentiation antigen 1.

4.1 CD127

According to the literature (Figure 1; Table 3), CD127 is the most commonly used ILC3 marker in humans and the second most common in mice. This marker is an α subunit of the IL-7 receptor. IL-7 is important for the early development of T and B cells from bone marrow precursors and for the development of T cells in the thymus (363). As IL-7 is the major growth factor of ILC, but not NK cells, CD127 is expressed by the former (364), but not by the latter, and is thus a valuable marker for the distinction of these two cell types. In addition to ILC, CD127 is expressed in naive (365), memory (366), and regulatory T cells (367). Therefore, using T-cell-specific antibodies in the lineage cocktail is necessary to be able to use CD127 as a reliable marker of ILC. This marker is of particular interest for discriminating between NK and ILC1 cells, as both cell types are known to express T-bet. Still, keeping in mind that NK cells do not express RORγt, CD127 does not appear to be essential for the discrimination between ILC3 and NK cells. It seems that it is reasonable to use CD127 in ILC3 research when analyzing all ILC subsets, while it is not essential for ILC3 subset identification.

4.2 CD117

This marker is used in ILC3 studies in humans almost as frequently as CD127 is, yet its use in mouse studies is not so frequent (Figure 1; Table 3). CD117 is a tyrosine kinase, also known as c-Kit, and it is the receptor for the SCF. CD117 plays an important role in early hematopoiesis and its expression is lost during cellular differentiation (368). However, in addition to mature mast cells and melanocytes, CD117 is also expressed on recently activated human CD8+ T cells (369) and circulating B cells (370). Within the ILC, CD117 is expressed on ILC2 and ILC3 (17). Since CD117 is not exclusively expressed on ILC3, additional markers should be used to distinguish between ILC2 and ILC3, and its use may not be crucial for detecting ILC3.

4.3 CD294

This marker is frequently used in human but not in mouse studies. CD294, also known as CRTH2, is a prostaglandin D2 receptor expressed on Th2 cells and ILC2 in humans, but not in mice. It is also present in both human and mouse eosinophils and basophils (371), while it is not expressed on ILC3 (17). Thus, when phenotyping ILC3, it serves to exclude the ILC2 population. CD294 is most often used in combination with CD127 and CD117, as based on the expression of these three markers in lineage-negative cells, all three ILC subsets can be distinguished. However, when only detecting the ILC3 population, it does not seem necessary to use all of these markers.

4.4 CD90

This marker is very frequently used in mouse but not in human studies, although the mouse and human CD90 proteins are highly similar. Despite this, CD90 expression is negligible in human cells and, thus, cannot be used as a marker for ILC (372). CD90 is a glycophosphatidylinositol-anchored cell surface protein and a member of the immunoglobulin superfamily. While its function is still not fully elucidated, it has been shown to interact with integrins and is therefore presumably important for cell adhesion (274). Within immune cells, CD90 is expressed in T cells, NK cells, and ILCs. It is found on the surface of all subtypes of ILC (373). In Rag1−/− mice, the anti-CD90 antibody is commonly used to deplete ILC (374). Although CD90 is considered a pan-ILC marker, a recent study showed that CD90 is not constitutively expressed in intestinal ILC (375). Additionally, having in mind that CD90 is expressed in all ILC subsets, CD90 does not appear to be the best choice for the detection of ILC3. Furthermore, based on their results of different expressions of CD90 on ILC, Schroeder et al. (375) suggested that CD127 is a much more reliable ILC marker than CD90.

4.5 CD161

CD161 is used as an additional marker to determine ILC3 in humans, but not in mice. CD161 is a human homolog of NK1.1 and is expressed in NK cells, T cells, NKT cells, monocytes, and DCs (376). It is used in combination with CD127 and CD117, with or without CD294 (Figure 1; Table 3). Aside from ILC3, CD161 is also expressed on ILC2 (377). Therefore, this molecule cannot be used as a basic, but only as a supplementary marker for ILC3 phenotyping.

4.6 RORγt

RORγt is by far the most frequently used marker for the discrimination of ILC3 in mouse studies, but not in humans. This molecule is expressed by T cells and ILC3 (346). Human bone marrow and blood neutrophils, as well as mouse lung neutrophils and splenic DCs, can also express RORγt, as previously mentioned (347349). However, in human secondary lymphoid tissues, including the tonsils, lymph nodes, and spleen, RORγt is expressed in all ILC subsets, as well as in NK cells. In these tissues, a novel LinCD34+CD45RA+CD117+IL-1R1+RORγt+ cell population was found, capable of differentiating into all major ILC populations (24). The expression of RORγt was also found in human fetal gut and adult peripheral blood ILC2 cells (377). Although there are no data showing the expression of RORγt in adult human intestinal ILC1 and ILC2, Cogswell et al. (378) have demonstrated the expression of RORγt in ILC1, ILC3, and NK cells in the colon of rhesus macaques, which additionally compromises the use of RORγt in the identification of ILC3 in humans. However, in all of the abovementioned studies, the expression of RORγt was much higher in ILC3 than in other ILC subsets. Thus, RORγt is the crucial marker for the identification of ILC3 in mice and a supplementary one in humans.

5 Molecules important for the identification of ILC3 subsets

5.1 CD196

CD196 or CCR6 is a G protein-coupled receptor expressed on DCs, CD4+ T cells, B cells, and ILCs. CCL20 is a high-affinity ligand for CCR6, and pro-inflammatory cytokines have been shown to induce its expression (379). CCL20 is highly present in inflamed tissues and drives the recruitment of CCR6-expressing immune cells (380). Within ILC3, CCR6 is expressed on LTi and LTi-like cells (381) and is an important marker for identifying these cells. While CCR6-expressing ILC3s are important for the formation of lymphoid organs during development, in adult mice, these cells are usually aggregated with DCs, B cells, and stromal cells in cryptopatches and isolated lymphoid follicles (382). Thus, CD196 is a valuable marker for the identification of ILC3 subpopulations.

5.2 CD335

CD335 or NKp46 is a member of the immunoglobulin superfamily and one of the NCRs of NK cells. While there are three NCRs in humans, namely, NKp30, NKp44, and NKp46, the only NCR described in mice is NKp46 (383). It is expressed on the surface of non-activated and activated NK cells (384), a small population of T lymphocytes, ILC1, and a subset of ILC3, called NCR+ ILC3 (385). Although the functional role of NKp46 on ILC3 is poorly understood, this molecule is essential for the identification of ILC3 subsets.

5.3 CD336

CD336 or NKp44 is another NCR and is expressed only in humans. Like NKp46, it belongs to the immunoglobulin superfamily, but there is no homology between these two molecules (386). While NKp30 and NKp46 are constitutively expressed in human NK cells, NKp44 is expressed only upon activation (384), and the use of anti-NKp44 antibodies has been shown to stimulate cytokine production by human ILC3 (387). In addition to NK cells, NKp44 is also expressed on ILC1 and ILC3 (388) and is thus helpful in defining ILC3 subsets.

6 ILC3 subsets in humans

Three different ILC3 subtypes can be distinguished in humans (Figure 2). LTi cells are the subtype that is most distinct by their developmental pathway and functional properties, and some even consider them to be a separate cell population (385). However, when it comes to their identification by flow cytometry, there is a clear lack of appropriate markers (385). Two other important subtypes are distinguished in humans based on the expression of CD336 (NKp44) and are referred to as NKp44 ILC3 and NKp44+ ILC3 (38, 48, 387, 389). Still, LTi cells are also defined as NKp44. The distinction between NKp44 ILC3 and LTi in humans can only be performed through analysis of CD45 expression. While NKp44 ILC3s have high CD45 expression, LTi cells express intermediate levels of CD45 (385). Thus, we are in need of a novel marker that would make a clear distinction between NKp44 ILC3 and LTi. An additional subpopulation of NKp44+ ILC3 that loses the ability to express RORγt but keeps the expression of T-bet, and thus becomes closer to the ILC1 phenotype, can be identified as “ex-ILC3” cells (390).

Figure 2

Figure 2

Markers for ILC3 subset discrimination in humans and mice. The basic classification of ILC3 includes three subtypes in humans and mice: LTi, NCR+, and NCR ILC3. In mice, an additional subpopulation can be identified—LTi-like cells, although it is still not clear if this subpopulation is distinct from NCR ILC3. Different NCRs are used for characterizing human and mouse ILC3s: NKp44 and NKp46, respectively. CCR6 is an additional marker used for ILC3 classification in mice. Aside from these basic subtypes, there is a defined group of ILCs that shares certain markers and properties of both ILC3 and ILC1. These cells are considered to have converted from ILC3 toward ILC1 and are thus termed “ex-ILC3.” They are distinguished from NCR+ ILC3 by the expression of RORγt and T-bet.

ILC3s in humans are most often found in mucosal tissue and are most abundant in the intestine, where they exhibit several functions (30). For instance, it was shown that after gastrointestinal transplantation, the recipients’ ILC rapidly infiltrated the graft (95). Increased frequencies of human NKp44+ ILC3 were observed in the graft, which has been associated with successful intestinal transplants as it reduces the risk of rejection (99). A similar observation was made in leukemic patients after hematopoietic stem cell transplantation (95). These observations have further strengthened the hypothesis that NKp44+ ILC3s are essential for maintaining homeostasis and protecting the gastrointestinal tract. However, there are conflicting data from some cancer studies that the role of IL-22-producing NKp44+ ILC3 may be detrimental to patients. For example, patients with hepatocarcinoma had more NKp44+ ILC3s than healthy controls (48). On the other hand, NKp44 ILC3s have been described to exacerbate inflammation, especially in inflammatory bowel disease, due to their secretion of IFN-γ and IL-17A (122, 390, 391). Additionally, it was shown that upon activation, human ILC3s were able to induce antigen-specific CD4+ memory T-cell responses (392). Both NKp44+ ILC3 and NKp44 cells can produce IL-17, but the ability to produce IL-22 is mainly restricted to NKp44+ ILC3 (387). By producing IL-22, NKp44+ ILC3s promote tissue integrity, maintain barrier functions, and promote homeostasis (238), particularly in the gastrointestinal tract. IL-22 secretion by NKp44+ ILC3 is activated after various stimuli such as food intake (241, 314), danger signals (111, 393), and changes in the cytokine milieu (6, 7). In addition, NKp44+ ILC3 can interact with other cells through the expression of neuroregulatory receptors which allows them to directly interact with glial cells (246) and goblet cells (394).

The attempt to classify ILC3 subgroups becomes more complex when different tissues are observed. For example, single-cell RNA sequencing analysis has shown that three populations can be identified in the tonsils based on the expression of NKp44, human leukocyte antigen D-related (HLA-DR), and CD62L, and each of these subpopulations has a different cytokine profile (395). HLA-DR+ ILC3s have also been observed in the human intestine (138, 396). Apart from this, NKp44+ ILC3s can be further divided into two populations based on the expression of neuropilin-1 (NRP-1). NRP-1+ ILC3s produce more cytokines than NRP-1 ILC3, and these cells have been detected only in lymphoid tissues and inflamed lung tissue (105). Overall, these data make it necessary to find a consensus in identifying and classifying ILC3s into specific subtypes.

It was generally presumed that all human ILC3s express a common transcription factor RORγt, which implied that RORγt is essential for their functions. However, in patients with RORγt deficiency, IL-22+ but not IL-17+ ILC3s were found. Similarly, in-vitro experiments showed that chemical inhibition of RORγt did not affect the ability of ILC3 to produce IL-22 (40). This suggests that other transcription factors such as AhR or GATA3 may regulate IL-22+ ILC3, as studies in mice have found that these transcription factors are implicated in the regulation of IL-22 production by ILC3 (161, 397).

7 ILC3 subsets in mice

Discrimination among ILC3 subgroups in mice is mainly based on the expression of two cell markers: CD196 (CCR6) and CD335 (NKp46) (Figure 2). There are three basic populations of murine ILC3: NCR+ ILC3 (CCR6NKp46+), NCR ILC3 (CCR6NKp46+), and LTi cells (CCR6+NKp46). LTi cells identified postnatally are referred to as LTi-like. Additionally, there is a subpopulation of NCR+ ILC3 that is called “ex-ILC3,” which is characterized by diminished RORγt and upregulated T-bet expression.

LTi cells are vital for the formation of secondary lymphoid organs throughout the prenatal period as they produce lymphotoxin-α1β2, which activates lymphoid tissue organizer cells in future lymph node and Peyer’s patch (PP) sites (15, 398). Post-birth, LTi-like cells also play a role in the development of cryptopatches, small lymphoid aggregates in the gut, which can grow into isolated lymphoid follicles (ILFs) in response to microbial signals (398). CCL20, the major CCR6 ligand, is constitutively expressed within the intestinal PP, ILF, and mesenteric lymph nodes (mLNs), confirming the importance of CCR6-mediated signals for secondary lymphoid organogenesis. These signals also help keep leukocytes at sites critical for immune surveillance (399). Accordingly, CCR6+ LTi-like ILC3s are the prevailing ILC3 subset in the PP, mLN, and colon lamina propria (243). In the intestine, LTi-like cells are also important for maintaining local gut homeostasis, through their interactions with both the innate and adaptive immune responses. For instance, LTi-like cells can produce IL-22 and IL-17, which are able to increase the expression of intestinal antimicrobial peptides (350, 400).

Additionally, LTi-like cells, unlike CCR6 ILC3, constitutively express MHC II in the gut while lacking the expression of co-stimulatory molecules CD40, CD80, and CD86, compared with DCs (369). This is one of the features that allows them to play a part in maintaining tolerance through the suppression of commensal antigen-specific T effector cells, enhanced generation of memory T cells, and promotion of mucosal antibody responses [reviewed by Zhong et al. (14)]. LTi-like cells can also be separated into CD4+ and CD4 subsets, even though gene expression analysis showed that there were minimal differences between the two groups—probably not enough to allow functional significance (288). Aside from confirming that CCR6 transcripts were expressed at higher levels in LTi-like cells compared with other ILC3s, the same was shown for an additional chemokine receptor, CXCR5 (288). Finally, fate-mapping studies have demonstrated that while the LTi lineages develop from ILC progenitors that have never expressed the transcription factor PLZF, all other ILC3 subtypes are generated from progenitors that do express it (401). GATA3 is another transcription factor that was shown to be necessary for the development of non-LTi ILCs, while it was not required for the generation of LTi-like cells (402). Additional precursor single-cell analyses (403) and the use of multitranscription factor reporter mice (404) confirmed the distinct origins of ILC and LTi lineages. Based on the differences in gene expression needed for their development, LTi-like cells could be considered a separate group of ILCs, despite sharing similarities in phenotype and function with NKp46+ ILC3.

NKp46+CCR6 ILC3, unlike CCR6+ LTi-like cells, are marked by T-bet expression. Their postnatal development from NKp46CCR6RORγt+ progenitors, often labeled as double negative (DN) ILC3, is in part guided by commensal microbiota signals and IL-23, while c-Maf-controlled graded T-bet expression ensures the expression of NKp46 (247, 405). To maintain their phenotype, NKp46+ ILC3s also require Notch signaling, which can be regulated by both AhR (406) and T-bet (407), while it was shown that TGF-β impairs their development (290).

In the gut, NKp46+ ILC3s are predominantly found in the small intestine lamina propria (243), and their localization within the lamina propria villi is influenced by CXCR6 (160). NKp46+ ILC3s also make up most of the ILC3s in the cecum and are necessary for its homeostasis (289). NKp46 has mostly been studied as one of the NCRs that are expressed by NK cells and whose activation by various pathogen-derived ligands can trigger NK cell-mediated cytotoxicity accomplished by the secretion of perforin or proinflammatory cytokines such as IFN-γ and TNF or through activation-induced cell death. Unlike NK cells, it seems that intestinal NKp46+ ILC3s are not able to perform these functions, while they do produce IL-22 to fight intestinal inflammation (3), similar to LTi-like cells. Interestingly, questions about the redundancy of the NKp46+ subgroup of ILC3s have been brought up in some experimental settings. For instance, NKp46+ ILC3s were shown to be inessential in the fight with a Citrobacter rodentium infection, when compared with LTi-like ILC3s (256). More specifically, IL-22 was necessary for the resistance to C. rodentium, but IL-22 production by NKp46+ ILC3 was not (289). However, NKp46+ ILC3s also have the potential to secrete GM-CSF and were crucial in promoting the accumulation and activation of inflammatory monocytes in an anti-CD40-induced colitis model (256).

A fate-mapping study by Viant et al. (290) demonstrated a notable proportion of NKp46 ILC3 used to express NKp46, and this phenomenon was predominantly observed in mucosal tissues but not in the bone marrow. Furthermore, an RORγt fate-mapping study revealed that, in some inflammatory conditions, NKp46+ ILC3 can significantly lower or lose RORγt expression, while T-bet expression increases. At the same time, these “ex-ILC3s” start producing IFN-γ and upregulate perforin and granzyme B expression, becoming more akin to ILC1 (9). Following Salmonella typhimurium infection, these cells were the main source of IFN-γ in the small intestine (405), which implies an adaptive role in microbial defense. On the other hand, NKp46+ ILC3 plasticity is regulated by c-Maf, which suppresses their conversion into the ILC1-like state by restraining T-bet expression and supporting RORγt activity (219, 247). Finally, the transcriptional profile of NKp46+ ILC3 was shown to have features in between those of NKp46 LTi-like ILC3 and NKp46+ ILC1 (while sharing more transcripts with NKp46+ ILC1). This might be the basis of their plasticity potential, which is probably shaped by their specific microenvironment (288).

8 ILC3 sorting and culture

Our literature survey shows that a consensus about the minimal or optimal panel of surface markers for ILC3 sorting is still missing. However, in most sorting protocols, the live/dead discrimination and doublet exclusion seem to be mandatory. Some authors suggest that before cell sorting, enrichment of CD90+ (233) or Lin cells (408) should take place. The most efficient sorting of mouse ILC3 occurs in samples obtained from mice that carry a fluorescently labeled reporter RORγt. In this case, the sorting protocol might include only a CD3 staining, after which ILC3s are sorted as CD3RORγt+ cells (the exclusion of Th17 cells is achieved). However, most of the protocols include additional surface markers—ILC3 can be sorted as CD45intCD90highRORγt+ (275) or as LinCD45+CD90.2+RORγt+ (270). In the studies not using RORγt reporter mice, investigators tend to use as many markers as they can for the determination of ILC3. For example, Zhou et al. (96) sorted an enriched population of ILC3 as LinCD45lowCD90.2highCD127+KLRG1. However, other groups used fewer denominators for the enrichment of ILC3, for example, the CD3 and CD90highCD45low gating (254) or complete lineage-negative population coupled with CD90high and CD45low markers (238, 269). Some groups use KLRG1 as an additional discriminative factor for ILC3 enrichment in the following panel LinCD90.2+KLRG1 (330) or LinCD45+CD90.2+KLRG1 (128). As recent data indicate that surface CD90 can be downregulated when ILC3s are functionally active, the usage of CD90 for ILC3 sorting is questionable (375). CD127 and ST2 are also used to determine ILC3 for sorting in addition to LinCD45+CD4. The same study uses the NKp46 marker to sort-purify NCR+ and NCR ILC3s (122). In all articles that we have analyzed so far, the percentage of acquired RORγt+ cells after ILC3 sorting (without the use of knock-in fluorescent labeling of RORγt) was not determined. Therefore, cells sorted in such a way can be referred to as enriched ILC3s, or just ILCs (as they are composed out of all three ILC types). The recommendation for future studies where these cells are used in vitro would be to evaluate the ILC distribution in post-sorted samples before engaging in any treatment or stimulation.

Human ILC3 cell sorting tends to be more difficult, as their surface markers may be different in peripheral blood mononuclear cells (PBMCs) and within the tissues. Also, unlike in mice, human ILC2 and ILC3 cannot exclusively be defined by transcription factors GATA3 and RORγt (409); therefore, there is no need for confirmation in post-sort samples. In general, ILC3 sorting from the PBMC or colon was performed according to the surface markers LinCD45+CD127+CRTH2CD117+ (410, 411). However, when ILC3s are sorted from the lungs, additional markers were included such as CD16NKG2A and CD161+ (411).

ILC3 sorting is usually done in order to perform single-cell RNA sequencing, in-vitro culture, or cell transfer. In-vitro culture of enriched human ILC3 is a prolonged process that requires several growth factors (SCF, IL-7, Flt-3L, IL-2, IL-15). The success of ILC3 propagation in vitro can depend upon a layer of cells to support ILC3 proliferation (such as mesenchymal stem cells) (79). Mouse-enriched ILC3s are usually cultured with SCF and IL-7 and on occasion with the addition of IL-1β, IL-12, or IL-23. In-vitro culture and stimulation of ILC3 with PMA/ionomycin/brefeldin is done in order to detect ILC3-derived cytokines. However, this can lead to the downregulation of ILC3-specific surface markers, thus interfering with flow cytometry analysis of post-treatment ILC3 (412). For performing a cell transfer, ILC3s are usually used freshly sorted from cell suspension derived from intestinal lamina propria or the lungs. Lamina propria is most often chosen as the source of ILC3 because of the abundance of ILC3s in the innate immune cell compartment. As the numbers of obtained ILC3 from tissues are very low, researchers use from 100,000 to 500,000 cells per transfer (233, 267). Having in mind the required precision in ILC3 phenotyping, sorting, and culture conditions and the paucity of tissue ILC3, as well as the limited availability of organs/tissues for their isolation, the use of ILC3 for human cell therapy seems to be complex and unrealistic. Still, alternative strategies, such as propagating tissue-like ILC3 from CD34+ hematopoietic progenitors (79), could overcome the above-stated obstacles on the road toward ILC3-based therapy.

9 Conclusions

The ILC3 research field is still relatively novel, and ILC3 identification by flow cytometry is not yet standardized. The expanding complexity of phenotypic determinants of ILC3 and the tissue specificities of ILC3 contribute to the discrepancies in protocols used by different research groups. Through analysis of the current state of phenotypic characterization of ILC3 by flow cytometry, we conclude that markers for the identification of ILC3 should be chosen in relation to the study species and design, as well as to the tissue of origin. The following are our suggestions for the identification of ILC3 by flow cytometry.

9.1 Mice: CD3RORγt+

RORγt is the most reliable marker for ILC3 in mice. It is enough to use CD3 as the lineage marker in combination with RORγt in most of the studies. Additional lineage markers seem redundant as long as samples are not obtained from the lungs or spleen when neutrophil or myeloid/DC exclusion is needed. CD127 is required as an additional positive marker only if ILC1 and ILC2 are identified in parallel. CD90 should not be used as an exclusive ILC3 marker.

9.2 Humans: CD3CD127+CD117+CD294

CD127 in combination with T-cell-specific lineage markers is a proper way to distinguish human ILC from NK cells. CD294 is an ILC2-specific marker and is a good marker to discriminate between ILC2 and ILC3. As for the distinction of ILC1, CD117 is expressed on ILC2 and ILC3, but not on ILC1. The addition of CD161 is not necessary. It can be used instead of CD127, but in that case, additional lineage markers for myeloid cells are required. RORγt cannot be used for distinguishing ILC3 from other innate lymphocytes in humans.

9.3 General

There is no need to use CD45 when analyzing cells isolated from the blood, lymph nodes, spleen, or tonsils, but it is necessary to use it in quantitative analysis of tissue-residing ILC3.

In a number of studies analyzed in this review, we observe a superfluous use of lineage cocktail markers. Although unnecessary, such overapplication of markers does not jeopardize proper ILC3 identification. On the other hand, there are studies in which ILC3 is identified by an insufficient number of markers or inappropriate marker combinations. This raises the question of the accuracy of the results and the conclusions of such studies. We hope that this paper will help researchers interested in ILC3-related studies to tailor their research design to the best of their specific needs.

Statements

Author contributions

ĐMil: Conceptualization, Funding acquisition, Writing – original draft, Writing – review & editing. IK: Visualization, Writing – original draft, Writing – review & editing. SS: Visualization, Writing – original draft. BJ: Writing – original draft, Writing – review & editing. DMic: Writing – original draft, Writing – review & editing. IS: Conceptualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Ministry of Science, Technological Development, and Innovations, Republic of Serbia, contract No. 451-03-47/2023-01/200007, and Science Fund, Republic of Serbia, Ideas Program, project GUTtoAID, contract No. 7742898.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Summary

Keywords

innate lymphoid cells, phenotype, flow cytometry, humans, mice

Citation

Koprivica I, Stanisavljević S, Mićanović D, Jevtić B, Stojanović I and Miljković Đ (2023) ILC3: a case of conflicted identity. Front. Immunol. 14:1271699. doi: 10.3389/fimmu.2023.1271699

Received

02 August 2023

Accepted

02 October 2023

Published

17 October 2023

Volume

14 - 2023

Edited by

Carolina Jancic, National Scientific and Technical Research Council (CONICET), Argentina

Reviewed by

Mohamad El-Zaatari, University of Michigan, United States; Luke Roberts, The University of Manchester, United Kingdom

Updates

Copyright

*Correspondence: Đorđe Miljković,

†These authors have contributed equally to this work

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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