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ORIGINAL RESEARCH article

Front. Vet. Sci., 10 March 2022
Sec. Animal Reproduction - Theriogenology
Volume 9 - 2022 | https://doi.org/10.3389/fvets.2022.838802

Transcriptome Comparison of Chorion-Attached and Non-chorion-attached Endometrium in Mid-gestation of Rabbit

Xiuli Mei1 Ling Xu2 Yan Ren2 Minjie Yu2 Liangde Kuang1 Congyan Li1 Yan Zhang2 Chuanzhi Lu2 Zhicheng Wang2 Zhiqiang Guo1 Xiaohong Xie1 Dengping Huang1* Ming Zhang2,3*
  • 1Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
  • 2College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
  • 3Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China

Background: The chorion from the placenta is directly attached to the endometrium (CA) after embryo implantation while some parts of the endometrium are not chorion-attached (NCA). The differences in gene expression between the CA and NCA endometrium mid-gestation are unknown. Our objective was to compare the gene expression profiles of the CA and NCA endometrium of rabbit, to identify the differentially expressed genes (DEGs), and correlate the differences with the physiological state of the endometrium at mid-gestation of rabbit.

Methods: We used transcriptome sequencing to reveal the differences in gene expression between CA and NCA endometrium (n = 3), and then determined the concentration of inflammatory cytokines in CA and NCA tissue and serum by ELISA.

Results: Six Hundred and Forty-Six DEGs were identified between the CA and NCA endometrium [p < 0.05, |log2 (fold change) |≥ 2], The expression levels of 590 DEGs were higher in the NCA endometrium than in the CA endometrium, while the expression level of only 56 DEGs were higher in CA than in NCA. The DEGs were enriched in gene ontology (GO) terms and pathways related to immune regulation and cellular adhesions. Six hub-genes related to inflammatory mediator regulation of transient receptor potential (TRP) channels and chemokine signaling pathways had a lower expression level in the CA endometrium compared to the NCA endometrium, and the expression levels of genes related to focal adhesion and extracellular matrix (ECM)-receptors were significantly higher in NCA endometrium than in CA endometrium. The level of pro-inflammatory cytokines accumulated in the CA endometrium, and high abundance of integrin-β and THBS1 were localized in the luminal epithelium of the NCA endometrium, but not in the CA endometrium.

Conclusions: Our study reveals differences in gene expression between the CA and NCA endometrium at mid-gestation of rabbit, and suggests implications for endometrial physiological function. The CA endometrium showed relative low-level gene expression compared to the NCA endometrium, while the NCA endometrium performed physiological functions related to focal adhesion and ECM-receptor interaction.

Introduction

In the process of pregnancy maintenance, the dialogue at the maternal-fetal interface includes not only direct mediator transfer in the chorion-attached (CA) region between chorion and endometrium, but also an endocrine response in the non-chorion-attached (NCA) endometrial area (13). The endometrium undergoes morphological and functional changes at the implantation site, allowing for invasion of fetal trophoblasts and conjugation between the endometrium and the chorionic membranes (4). The change in endometrial morphology and function is called decidualization and decidua formation is critical for blastocyst implantation (1, 2). Endometrial decidualization under progesterone-induction allows receptivity of the embryo (2, 4). The decidualized endometrium can be divided into two areas, the CA and NCA region after embryo implantation. The cross-talk between mother and fetus depends on direct tissue communication between the endometrium and chorionic membrane, or through the hormones and cytokines by paracrine secretion (46). The endometrium provides a special milieu and the spatial expression of endometrial genes plays an important role in the maintenance of pregnancy (7). Therefore, we speculated that there might be differences in gene expression between the CA and NCA endometrium; however, few studies have focused on the differences in physiological function of CA and NCA endometria after embryo implantation.

The rabbit has a hemochorial discoid placenta similar to a human, and the hemochorial discoid placenta is comprised of trophoblast cells, mesenchymal cells, vasculature and maternal endometrium (8). The fetal chorionic trophoblast cells invade the maternal uterine arteries and veins at the maternal-fetal interface for controlling the bidirectional flow of nutrients and metabolites (9, 10), and the trophoblast cell population contributes to the endocrine activities of the placenta (11, 12). The decidualized endometrium has a crucial role in the process of pregnancy as the maternal tissue that first comes into direct contact with the embryo and allows for its proper implantation, survival, and development (13). Over the past few decades, extensive investigations have been carried out to clarify the molecular mechanisms of endometrial decidualization and receptivity, and embryo attachment, implantation, and trophoblast invasion (1315). Moreover, some studies had revealed that the trophoblast cells invading the decidualized endometrium experienced the strongest immune challenge from the maternal immune system (16), but the allogeneic placental trophoblast and fetus are not attacked by the maternal immune system (17, 18). Some specifically expressed genes: (Tpbp, Plac1, Syncytin, and the retrotransposon-associated genes, Peg10, Rtl1, Endothelin B receptor, Insl4, Leptin, Midline1, and Pleiotrophin, Gcm1, Mash2, Rhox, Esx1, Cathepsin, PAG, TKDP, Psg and Siglec), the enhancer elements (glycoprotein hormone α-subunit) and gene isoforms (3βHSD, Cyp19) have been identified at the maternal-fetal interface of human and mouse (1820). The fetal rabbit at mid-gestation is increasingly being used as a model for diagnosis of fetal abnormalities and disease treatment (21). It is a critical point in pregnancy with the transformation of progestogenic maintenance of pregnancy from corpus luteum dependence to placental dependence (22). However, the spatial expression of specific genes in the CA and NCA endometrium at mid-gestation after implantation still remains unknown.

Many studies of the placental transcriptome have provided us with a basic understanding of how the immunoregulation and adhesion function of the early placenta support embryo implantation and immune evasion (1, 2). The differences in physiological function between the CA and NCA endometrium at mid-gestation were not considered, however. The specific immune milieu that is provided by the CA and the endometrium NCA together is important for maintenance of pregnancy (23). Knowledge about the gene expression profile difference in the CA and NCA endometrium at mid-gestation of rabbit will provide a better understanding of the physiological functions of the endometrium in different regions, as well as how dysregulation of maternal immune tolerance can cause pregnancy failure at mid-gestation.

In this study we determined the transcriptome of chorion-attached and non-chorion-attached endometrium at mid-gestation of female rabbits using second-generation sequencing. We compared the genes specifically expressed in CA and NCA endometrium to elucidate the main physical functions of the maternal endometrium at mid-gestational stage.

Materials and Methods

Animals and Experiment Design

Three sexually mature and primiparous female New Zealand white rabbits (2.50 ± 0.15 kg, 6-moa) were performed estrus synchronization. Each rabbit was intravenously injected with 80 IU of human chorionic gonadotropin (hCG) at 48 h after being injected intravenously with 120 IU of equine chorionic gonadotropin (eCG) followed by natural mating. Diagnosis of pregnancy was performed on the 10th day after natural mating by abdominal palpation. On the 14th day of gestation, endometrial tissue in placental area were collected to isolate chorion-attached endometrium, and endometrium in non-placental area were also collected (Supplementary Figure 1). These tissues were immediately put into RNAlater™ stabilization solution (Thermo-Fisher, USA). The chorio-allantoic membranes and the chorion were carefully removed from endometrial tissue in placental area under a stereomicroscope (Leica MZ75, Leica Microsystems, Germany), and then only endometrium was collected as chorion-attached (CA) endometrium. Endometrial tissue in non-placental area was as non-chorion-attached (NCA) endometrium. Three CA and NCA endometrial tissues were collected from one individual and then, respectively mixed into CA and NCA sample pool. Finally, the sample tissue was divided into CA and NCA endometrium, and RNA-sequencing was performed using three individuals (n = 3). Collected tissue samples for ELISA were frozen at −80°C. CA endometrium for hematoxylin-eosin (H&E) staining and immunostaining were immediately fixed in 10% formalin PBS, and NCA endometrium samples were embedded in O.C.T compound for cryosectioning. Sampling accuracy was evaluated by microstructure of H&E staining (Supplementary Figure 1). Transcriptomics analysis was performed by Jingjie PTM Biolab Ltd. Co. (Hangzhou, China).

All animals were housed in individual cages under a 14-h light and 10-h dark regimen at a temperature of 16–25°C, and fed ad libitum on a standard diet (Laboratory Animal Nutrients, rabbit feed, GB 14924.3-2010, China). All experimental procedures were approved by the Animal Ethics Monitoring Committee of Sichuan Agricultural University (Appr. No. SASA201905) and carried out in accordance with the Guidelines of Animal Welfare in China.

Total RNA Extraction

Total RNA from the CA and NCA tissues were extracted with TRIzol reagent (Invitrogen, CA, USA) and purified with a RNeasy column (Qiagen, USA) according to the manufacturer's protocol. RNA purity and integrity were assessed using the Nano Photometer® spectrophotometer (Bio-Rad, CA, USA) and the RNA Nano 6000 assay kit of the Bioanalyzer 2100 system (Agilent Technologies, CA, USA), respectively. RNA concentration was measured using Qubit® RNA assay kit in a Qubit® 2.0 Fluorometer (Life Technologies, CA, USA).

Messenger RNA Library Construction and Sequencing

Only qualified RNA samples (RIN >8, OD260/280 = 1.9-2.2 28S:18S ≥ 1.5) were used for library construction and qualified libraries were used for sequencing. Sequencing libraries were generated using NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer's protocol, and index codes were added to attribute sequences to each sample. Briefly, mRNA was purified from 5 μg of total RNA using poly-T oligo-conjugated magnetic beads. Following purification, the mRNA was fragmented into small pieces using divalent cations under elevated temperature in NEBNext first-strand synthesis reaction buffer, and the cleaved RNA fragments were reverse-transcribed into the final complementary DNA (cDNA) library according to the NEBNext® Ultra™ RNA library prep kit protocol (NEB, USA). After adenylation of 3' ends of DNA fragments, the NEBNext adaptor with hairpin loop structure was ligated to prepare for hybridization. Fragments of cDNA, 150–200 bp in length, were purified by the AMPure XP system (Beckman Coulter, Beverly, USA) and library quality was assessed on the Agilent Bioanalyzer 2100 system using Qubit2.0 software. Lastly, the RNA libraries were sequenced on an Illumina HiSeq2000 platform, and the raw data were deposited in Gene Expression Omnibus (GEO) Datasets on NCBI (GSE152905 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE152905).

Transcriptome Data Analysis

Clean data were obtained by removing reads containing adapters, reads containing >10% poly-N and low-quality reads (>50% of bases had Phred quality score ≤ 10) from raw data. At the same time, Q20, Q30 and GC content in the clean data were calculated. All subsequent analyses were based on clean, high-quality data. The index of the reference genome was built using Bowtie v2.2.3 software and paired-end clean reads were aligned to the reference genome (ftp://ftp.ensembl.org/pub/release-97/fasta/oryctolagus_cuniculus/dna/Oryctolagus_cuniculus.OryCun2.0.dna.toplevel.fa.gz) using TopHat v2.0.14 software, and the mapped reads from each library were assembled with Cufflinks v2.2.1. The reference annotation-based transcript (RABT) assembly method in Cufflinks v2.2.1 was used to construct and identify mRNA transcripts from TopHat v2.0.14 alignment results. The model of fragments per kilobase of exon per million mapped reads (FPKMs) scores of genes in each sample was calculated with Cufflinks v2.2.1 (24), and heatmap was constructed with FPKM. Differentially-expressed genes (DEGs) between the CA (n = 3) and the NCA endometrial tissue (n = 3) were identified using DESeq2 R package (1.16.1) by screening for differential gene with a fold change ≥1 and an adjusted P-values < 0.05.

Functional Enrichment and Interaction Analysis

Gene ontology (GO) enrichment analysis of DEGs was conducted using the GOseq R package, and DEGs were enriched into the significant overrepresentation of GO-biological process (GO-BP), molecular function (GO-MF) and cellular component (CC) terminologies. DEG enrichments were classified according to the Kyoto Encyclopedia of Gene and Genome (KEGG) algorithm using KOBAS 2.0 software. P-values were calculated using Benjamini-corrected modified Fisher's exact test. P-values < 0.05 were considered significant. The interaction network of the DEGs in the inflammatory mediator regulation of TRP channels, chemokine, focal adhesion and ECM-receptor interaction signaling pathways were constructed with online tool String 11.5 (https://cn.string-db.org/cgi/input?sessionId=inputgtsessionId&input_page_show_search=on).

Quantitative Real-Time PCR

The purified RNA samples were reverse-transcribed using the PrimeScript® RT reagent kit with gDNA Eraser (Takara, Japan) following the manufacturer's protocol. Quantitative real-time PCR (RT-qPCR) was performed on a CFX 96 real-time PCR detection system (Bio-Rad, USA) in a 10 μl reaction mixture containing 3 μl dH2O, 5 μl 2 × SYBR premix EX Taq II, 0.5 μl of each forward and reverse primer and 1 μl cDNA (Supplementary Table 1). Following initial denaturation at 95°C for 3 min., PCR was carried out at 95°C for 10 s with an annealing temperature of 60°C for 30 s for 40 cycles. The β-actin gene was selected as a calibrator to normalize gene-specific RT-qPCR product expression. Finally, the relative expression levels of the genes were calculated using a relative quantification method (2−ΔΔCt) (25).

Immunostaining for Integrin-β and THBS

The immunohistochemical assay was performed as previously described, with modification (26). The NCA endometrial tissue was embedding in O.P.S compound for cryosectioning, and the placental tissue (the CA endometrium and chorio-allantoic membrane) was bedding in paraffin because placental tissue is more fragile than the NCA endometrium. After the sections were deparaffinized with xylene or rehydrated with gradient ethanol solution, the sections were rinsed in PBS, treated with proteinase-k, and incubated overnight with 5% goat serum (Boster Co., China), followed by incubation with anti-integrin-β polyclonal antibody (Cat. No. bs-0342R, Bioss Biotech. Inc., China) or anti-thrombospondin (THBS) polyclonal antibody (Cat. No. bs2715R, Bioss Biotech. Inc., China) diluted at 1:200 (v/v) in PBS, and washed with PBS for 15 min (5 min × 3). The immunoreaction products were identified with an SABC kit (Boster Co., China). Briefly, sections were incubated with biotinylated anti-mouse IgG+IgM+IgA (1:500), and avidin-peroxidase complex for 1 h each. Then, the immunoreaction products were visualized with a mixture consisting of 0.02% (w/v) 3, 3′-diaminobenzidine tetrahydrochloride and 0.005% (v/v) H2O2 in 50 mM Tris-HCl buffer (pH 7.6). The sections were counterstained with hematoxylin, dehydrated and covered. For negative control staining, the primary antibodies were replaced with normal mouse IgG (Boster Co., China).

Enzyme Linked Immunosorbent Assay

After homogenization of the decidua and endometrial tissue, the total protein of each sample was extracted using a RIPA total protein extraction kit (Bioss, Biotech. Inc., China) and the concentration of total protein in each sample was adjusted to 2mg/mL. The levels of estrogen (E2), progesterone, interleukin-1beta (IL-1β), IL-6 and IL-8 were assessed using corresponding ELISA kit (Solarbio Life science Inc., China) according to the manufacturer's instructions.

Results

Summary of Transcriptome Data

To identify DEGs between the chorion-attached (CA) and non-chorion-attached (NCA) endometrium, transcriptome libraries were constructed using CA and NCA endometrial tissue, and a total of 147 million paired-end reads of 90 bp in length were generated. The total sequencing length was 44.17 Gb, representing approximately 15 × coverage of the whole rabbit genome. Among all clean reads, more than 77% of the reads were mapped to the reference genome (ftp://ftp.ensembl.org/pub/release-97/fasta/oryctolagus_cuniculus/dna/Oryctolagus_cuniculus.OryCun2.0.dna.toplevel.fa.gz) using TopHat v 2.0.14 (Table 1). The quality of this genome assembly is not high, and the genome of Thorbecke inbred and New Zealand white rabbits have large difference, which cause the low mapping percentage. Furthermore, 67.17-71.85 % of all reads were located within exons. If one transcript was expressed in all three biological replicates of the cDNA libraries, it was considered an expressed transcript for subsequent analysis. Consequently, 12,465 and 12,806 known transcripts were identified as being expressed in the CA and NCA endometrial tissues, respectively.

TABLE 1
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Table 1. Summary of transcriptome sequencing and alignment.

To assess the reproducibility and reliability of the transcriptome libraries, Pearson's correlations of transcriptional level of the total expressed genes from all samples were analyzed. Three biological replicates of each group had high correlation (r = 0.82 in the CA group, r = 0.87 in the NCA group), which was higher than the paired Pearson's correlation coefficient (r = 0.7232, the average correlation coefficient of CA1-NCA1, CA2 -NCA2 and CA3-NCA3), and the non-paired Pearson's correlation coefficient (r = 0.5749). The results verified the high reproducibility and reliability. The heatmap of the hierarchical clustering showed that the DEGs data were reproducible (Figure 1A). The validity of transcriptome sequencing was assessed using qRT-PCR of six genes (TLR4, TGFα, WNT3, LAMB2, PPET2 and IL23α), and the expression level of these genes have significant difference between CA and NCA endometrium. The six genes also involved in immune regulation and cell adhesion. The results indicated that the expression patterns of these genes were highly consistent between the RNA-seq and qRT-PCR (Pearson's r = 0.765, p < 0.01; Supplementary Figure 2). The global transcriptome was presented in the Venn diagram (Figure 1B), we identified 12,951 known genes, and among these, 12,320 known genes were co-expressed in the CA and NCA endometrium. The results showed that many co-expressed genes were expressed in the CA and NCA endometrium, and a total of 646 DEGs was identified in the CA endometrium compared with the NCA endometrium; 590 DEGs were down-regulated and 56 DEGs were up-regulated (Figure 1C).

FIGURE 1
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Figure 1. Genome-wide distribution between the chorion-attached (CA) and non-chorion-attached (NCA) endometrium of rabbit. (A) Heatmap diagram of DEGs and hierarchical clustering of samples. (B) Venn diagram of expressed known genes in the chorion-attached and non-chorion-attached endometrium. (C) The number of up- and down-regulated DEGs. CA1, CA2, and CA3 is the chorion-attached endometrial tissue, and NCA1, NCA2, and NCA3 is the non-chorion-attached endometrial tissue of the corresponding individual, CA1, CA2, and CA3 (n = 3).

Top 20 Up and Down-Regulated Differentially Expressed Genes

A total of 646 DEGs between the chorion-attached (CA) and non-chorion-attached (NCA) endometrium were identified, and the top 20 down- and up-regulated genes in the CA endometrium are presented in Tables 2, 3, respectively. PLCL1, ADRB3, PTGIS, SLC26A10, SPEG, TAGAP, TCF23, ADAM33, MYLK, MG72, JP1, FAT4, SLC2A4, LIMS2, KCNH2, CD46, SEPT6, SLC24A2, CARD6, SMOC2 and REEP1 were highly expressed in the NCA endometrium (Table 2) compared to the CA endometrium (log2FC =-5.644 — −4.266; FDR p < 0.05), while these genes, PADI2, IL23A, TP63, IL20, WNT-11, EMB, FAM78A, HMGCS2, FAM65B, GJD4, CX3CR1, RTN4RL2, PHYHIP, RASL11A, CA2, DUSP10, ECEL1, PFKFB3, ARNTL2 and CIART were highly expressed in the CA endometrium (Table 3) compared to the NCA endometrium (log2FC = 2.475— 4.637; FDR p < 0.05).

TABLE 2
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Table 2. Top 20 down-regulated DEGs between the chorion-attached (CA) and non-chorion-attached (NCA) endometrium.

TABLE 3
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Table 3. Top 20 up-regulated DEGs between the CA and NCA endometrium.

Functional Enrichment Analysis of Differentially Expressed Genes (DEGs)

The 646 DEGs were subjected to GO enrichment analysis. As shown in Figure 2A, the most significantly over-represented GO terms were related to the biological function of cellular or extracellular matrix interaction (extracellular space, extracellular matrix, cell junction and cell surface); the molecular function of protein kinase regulation (positive regulation of protein kinase C signaling, activation of MAPK activity); and the regulation of fiber or axon formation (positive regulation of stress fiber assembly, negative regulation of axon extension involved in guidance). KEGG analysis (Figure 2B) showed that the DEGs between CA and NCA endometrium were mainly involved in immune regulation (chemokine signaling pathways, inflammatory mediator regulation of TRP channels), reproductive hormone regulation (estrogen signaling pathway, oxytocin signaling pathway) and cellular adhesions (focal adhesion, ECM-receptor interaction). The transcriptome data strongly indicated that immune regulation and cell adhesion were the main biological functions in the mid-gestational CA and NCA endometrium.

FIGURE 2
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Figure 2. Functional enrichment of DEGs between the chorion-attached (CA) and non-chorion-attached (NCA) endometrium. (A) Gene ontology (GO) categories enriched for DEGs, (B) KEGG pathway enrichment of these DEGs. The q values were calculated using a Benjamini-corrected modified Fisher's exact test. A * next to the name indicated the GO terms that were related to ECM-receptor and cell adhesion, and ※ indicated the GO terms that were related to immunoregulation. A ▴ indicated the KEGG pathways involved in immunoregulation, and a Δ indicated the KEGG pathways that were involved in ECM-receptor interaction and cell adhesion.

Differential Expression of Genes Related to Inflammatory Mediator Regulation and Chemokine Signaling Pathways

The maintenance of pregnancy requires proper physiological regulation of immune system function (1618), and the KEGG analysis of DEGs indicated the up-regulation of genes involved in inflammatory mediator regulation of TRP channel and chemokine signaling pathways in the CA and NCA endometrium. Therefore, these inflammatory mediator regulatory genes in the TRP channel and chemokine signaling pathways were analyzed. A total of 148 genes related to inflammatory mediator regulation of TRP channels were expressed in CA and NCA endometrium, of which 11 had significant differences in expression between CA and NCA. 210 genes related to the chemokine signaling pathway were detected in CA and NCA endometrium, of which 14 had significant differences in expression between CA and NCA. This list of DEGs involved in inflammatory mediator regulation of TRP channels and chemokine signaling pathways was used to construct an interaction network and expression heatmap (Figure 3). Among the 14 DEGs related to chemokine signaling pathways, nine of them were assigned to two interaction networks (Figure 3A). The expression of CX3CR1 and GNG11 in the CA was greater than in the NCA endometrium, and the other 12 DEGs in the CA were lower than in the NCA endometrium (Figure 3C). Among the 11 DEGs related to inflammatory mediator regulation of the TRP channel, the expression of ARHGAP29, ENSCOCUG00000021234 (LOC100246323) in the CA was greater than in the NCA endometrium, and the other 9 DEGs in the CA were lower than in the NCA endometrium (Figure 3B). Nine of them were assigned to an interaction network (Figure 3D). Moreover, the interaction networks of DEGs in inflammatory mediator regulation of TRP channel and chemokine signaling pathways have six of the same hub-genes (PLCB1, PLCB4, PIK3R3, ADCY5, 6 and 8). These results suggested that the hub-genes related to immunoregulation had a lower expression level in the CA endometrium compared to the NCA endometrium.

FIGURE 3
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Figure 3. Heatmap and interaction network of differentially expressed genes related to inflammatory mediator regulation of TRP channels and chemokine signaling pathways. (A) interaction network and (C) expression heatmap of DEGs related to chemokine signaling pathway. (D) interaction network and (B) expressive heatmap of DEGs related to inflammatory mediator regulation of TRP channels. The expression level of genes between the chorion-attached endometrium (CA) and the homologous non-chorion-attached endometrium (NCA) were compared using paired t-test using PFKM of each DEG in the pathway. The interaction network of the DEGs in the inflammatory mediator regulation of TRP channels and chemokine signaling pathways were constructed with online tool String 11.5.

Differential Expression of Genes Related to Focal Adhesion and ECM-Receptor Interaction

The KEGG analysis of the current study revealed the DEGs that were enriched in the function of focal adhesion and ECM-receptor interaction, while embryo attachment and implantation and pregnancy maintenance were related to the extracellular matrix (ECM) and focal adhesion (1315). These genes were analyzed and 28 DEGs in the CA vs. NCA were found among the 215 observed genes related to focal adhesion, and only the expression level of the ARHGAP29 gene in the CA endometrium was significantly higher than that in the NCA endometrium (Figure 4A). An interaction network was constructed from the 23 DEGs related to focal adhesion (Figure 4B). Among the 86 observed genes related to ECM-receptor interaction, 13 DEGs of CA vs. NCA were used to construct an interaction network (Figure 4C). The expression level of these 13 genes in the NCA endometrium was significantly higher than that in the CA endometrium (Figure 4D). The interaction networks of DEGs in focal adhesion and ECM-receptor interaction pathway shared the same 10 hub-genes (THBS1, 3, and 4, ITGB4, ITGA9, COL4A5 and 6, COL28A1, LAMB2, ENSOCUG00000006112). These results suggested that the genes related to focal adhesion and ECM-receptor interaction had a higher expression level in the NCA endometrium than in the CA endometrium, and THBS, collagen (COL), laminin (LAMB), and integrin (ITG) were hub-genes in the focal adhesion and ECM-receptor interaction pathway.

FIGURE 4
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Figure 4. Heatmap and interaction network of differentially-expressed genes related to focal adhesion and ECM-receptor interaction signaling pathways. (A) Expression heatmap, (B) interaction network of DEGs related to focal adhesion, (C) interaction network, and (D) expression heatmap of DEGs related to ECM-receptor interaction. The expression level of genes between the chorion-attached endometrium (CA) and the homologous non-chorion-attached endometrium (NCA) were compared using paired t-test according PFKM of each DEG in the pathway. The interaction network of the DEGs in focal adhesion and ECM-receptor interaction signaling pathways were constructed with online tool String 11.5.

Concentration of IL-1β, IL-6 and IL-8 and Localization of Integrin-β and THBS in the NCA Endometrium

Integrin-β and THBS were localized in the CA and NCA endometrium by immunohistochemical (IHC) assay on paraffin-section or cryosection slides (Figures 5A–F). Integrin-β and THBS1 at high abundance were localized in the luminal epithelium and the glandular epithelium of the NCA endometrium. Conversely, integrin-β and THBS1 were not detected in CA endometrial cells at the maternal-fetal interface. To ascertain the immune situation in the CA and NCA endometrium, the concentration of IL-8, IL-6 and IL-1β were measured in the serum, the CA and the NCA endometrium (Figures 5G–I) using enzyme-linked-immunosorbent serologic assay (ELISA), The concentrations of IL6 and IL-8 in the CA and NCA endometrium were significantly much higher than in the sera (p < 0.05), and the concentration of IL-1β in the CA endometrium was significantly greater than that in the sera (p < 0.05). These data suggest that chemokines and pro-inflammatory cytokines accumulated at the maternal-fetal interface. In addition, the concentration of estradiol (E2) and progesterone (P) in serum was greater than that in the CA endometrium (p < 0.05), and the concentration of P in serum was greater than that in the NCA endometrium (p < 0.05) (Figures 5J,K).

FIGURE 5
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Figure 5. Concentration of IL-1β, IL-6 and IL-8 and localization of integrin-β and THBS in the CA and NCA endometrium. (A,D) are the negative controls for the placenta and endometrium in the immunohistochemical (IHC) assay. Integrin wasn't present in the placenta (B), but was localized in the NCA endometrium (E). THBS1 wasn't present in the placenta (C), but was localized in the NCA endometrium (F). Dotted line in this figure (A) indicated the placental villi in blood sinus of maternal endometrial layer. BV, blood vessels in the placental villi; BS, blood sinus of maternal endometrial layer; E, CA endometrium; C, chorion; L, lumen; LE, luminal epithelium; GE, glandular epithelium. Scale bar in (A–F) is 100 μm. (G–K) respectively indicated the concentration of IL-8, IL-6, IL-1β, Estradiol (E2) and Progesterone (P) in the serum, CA and NCA endometrium. The concentration was compared turkey's test, and different capital letters meant p < 0.01, while different lowercase letters meant p < 0.05. → Positive cells by IHC. CA, chorion-attached endometrium; NCA, non-chorion-attached endometrium.

Discussion

Our study has revealed a difference in gene expression between the chorion-attached (CA) and non-chorion-attached (NCA) endometrium of mid-gestation in rabbit. (1) 646 DEGs between the CA and NCA endometrium were identified, and (2) the DEGs were mainly involved in immune regulation, reproductive hormone regulation and cellular adhesion. (3) The hub-genes related to inflammatory mediator regulation of TRP channel and chemokine signaling pathway, and related to focal adhesion and the ECM-receptor interaction signaling pathway in NCA endometrium were significantly higher than in CA endometrium. (4) IL-6 and IL-8 in the endometrium were significantly much higher than in the sera at mid-gestation.

In our study, transcription in the NCA endometrium was more active than that in the CA endometrium. The top 20 down- and up-regulated DEGs in the CA endometrium have been identified in several studies. The SLC2A4, SLC24A2, SLC26A10, PLC1, PTGIS, MYLK, IL23A, WNT3, and WNT11 genes in the maternal placenta (the chorion-attached endometrium) have been detected in the placenta-attached decidua of horses (27), rats (28), humans (22) and hamsters (29). The solute carrier (SLC) superfamily is the largest group of membrane transporters, comprising 65 families (SLC1-65) with more than 400 identified genes, and SLC2A4 is in the glucose/glucosamine transporter family (30). Previous studies revealed that SLC2 is the most abundant glucose transporter in human endometrium and is up-regulated during decidualization (31). SLC24A2 and SLC26A10 are members of the Na+/Ca2+-K+ exchanger family and multifunctional anion exchanger family, respectively (32). TAGAP, LIMS2, IL23A, IL20, and CX3CR1 are involved in immune regulation of the cross-talk between decidual stromal cells, trophoblast cells, and immune cells during pregnancy (33). GJD4, IL23A, WNT11, CX3CR1, TP63, and IL20 regulate multicellular organismal processes and responses to stimuli (3438). ADRB3, PLCL1, and PTGIS are involved in biological regulation and responses to stimuli (3942).

Previous studies indicated that the PKC and MAPK signaling pathways are widely involved in vascular remodeling, trophoblast invasion, and intracellular signal pathways in the process of placental development in the decidualized endometrial layer (4345). Pregnancy results in an immuno-suppressed state that is necessary for the maternal immune system to tolerate the developing fetus (46). During pregnancy, the maternal immune system adapts to permit tolerance of the fetal allograft while maintaining a defense against harmful pathogens (47, 48). The innate immune system plays an essential role and maintains an appropriate environment for the developing fetus while still protecting the health of the mother (46). The mid-gestational placenta supports proportional fetal growth, organ development and fine-scale differentiation, as well as continuing maternal adaptation to pregnancy (22). A successful pregnancy requires a fine-tuned and highly regulated equilibrium between immune activation and embryonic antigen tolerance (49). Activation of the ECM receptors and interaction with the PI3K-Akt signaling pathway are involved in maintaining maternal tolerance (50). Focal adhesions are macromolecular complexes comprised of heterodimeric transmembrane integrin receptors that regulate ECM receptors on the luminal epithelium of the endometrium (51, 52). It has been reported that focal adhesions play an important role at the maternal-fetal interface in many species (51). Our study also confirmed involvement of the endometrium in this physiological function in mid-gestation.

The maintenance of pregnancy requires proper physiological regulation of immune system function (1618), and hub-genes related to immunoregulation had a lower expression level in the CA endometrium compared to the NCA endometrium in the present study. Some studies have demonstrated that a variety of chemokines were expressed in the endometrium and decidua in early pregnancy (5358), and a successful pregnancy depends on the spatiotemporal expression of chemokines and signal pathway members in different stages of pregnancy to achieve the decidualization of uterine luminal epithelium, trophoblast adhesion, embryo implantation and immune tolerance (59, 60). Messenger RNA expression of the chemokines, CCL2, CCL4, CCL5, CCL8, CXCL2, CXCL8, CXCL10 and CXCL12, and both the mRNA and protein of their receptors, CCR1, CCR2, CCR3, CCR5, CXCR2, CXCR3, and CXCR4, were detected in porcine luminal epithelial cells (53). CXCL12 and CXCR4 were expressed at the maternal-fetal interface of mouse, and CXCL12 increased migration of regulatory T cells into the uterus during pregnancy (61). Our results revealed that the genes related to inflammatory mediator regulation of the TRP channel and chemokine signaling pathways were expressed in the CA and NCA endometrium, and their expression in NCA endometrium was higher than in CA endometrium. The results were consistent with previous results showing that placenta has the function of immune escape (1618). Embryo implantation evolved an ancestral inflammatory attachment reaction (60) and immune cytokines and cells in the decidua and endometrium maintain intrinsic inflammatory responses and immune modulating secretion (33, 55, 60).

The interaction of ECM and integrin is widely involved in intercellular adhesion, crosstalk and communication (62), and involved in embryo implantation in the endometrium in the proliferative phase and the decidualized endometrium of rat (63), sheep (64), dog (65), human (66), goat (67) and mouse (68). The THBS family, THBS1, THBS3, and THBS4, play key roles in the success of pregnancy recognition, implantation and maintenance (69). Integrins are glycoprotein transmembrane receptors that exist as heterodimers composed of non-covalently linked alpha and beta subunits, and they are critical for the formation of focal adhesions, cell migration, proliferation and development of the actin cytoskeleton. Integrins regulate adhesion at the fetal-maternal interface by interacting with secreted phosphoprotein 1 and fibronectin (FN) (70). The thrombospondins are ECM proteins belonging to the THBS family consisting of five members (71), and they can interact with various ECM proteins, cytokines, receptors, and growth factors (71, 72). The ECM-integrin ligand plays a key role in the process of embryo adhesion at the maternal-fetal interface. Our study revealed a novel finding that the ECM-integrin ligands were highly expressed in the NCA endometrium, but not in the CA endometrium at mid-gestation. Previous studies confirmed that some chemokines from the placenta could regulate ECM and adhesion molecules (73). According to our data, the CA and NCA endometria released chemokines in mid-gestation that might up-regulate ECM-integrins in the NCA endometrium; then, uterine luminal epithelial adhesions could build a barrier of immune tolerance and defense around the conceptus.

The current study suggests that our understanding of the mechanism of the immune tolerance of the CA and NCA endometrium, makes it likely that the chemokines from the maternal-fetal interface induce expression of ECM-integrins in the adjacent endometrium to build an adhesive cellular barrier.

Conclusions

Based on the transcriptomes of the CA and NCA endometrium at the mid-stage of pregnancy, we found differences in the gene expressive profile between the CA and NCA endometrium of rabbit. In particular, transcription in the NCA endometrium was more active than that in the CA endometrium, and the hub-genes related to inflammatory mediator regulation of TRP channels, chemokine signaling, focal adhesion and ECM-receptor interaction signaling pathways in the NCA endometrium were significantly higher than those in the CA endometrium. The results provide the reference for understanding the CA endometrium mediates maternal and fetal immune tolerance, and the involvement of the NCA endometrium in cell adhesion. However, there are few studies on the gene expression profiles of CA and NCA endometrium, and some placental membrane cells maybe invade in the CA endometrium. Therefore, the spatial transcriptome of placenta and endometrium will provide us with a more complete picture of the expression profile of the associated genes and their function in the CA and NCA endometrium.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/geo/, GSE152905.

Ethics Statement

The animal study was reviewed and approved by Animal Ethics Monitoring Committee of Sichuan Agricultural University and Sichuan Animal Science Academy (Appr. No. SASA201905).

Author Contributions

XM and MZ: conceptualization. LX and YZ: data curation and writing the original draft. XM: funding acquisition. LK, CL, and ZG: resources. MY, XX, and DH: methodology. MY, CL, YR, and ZW: investigation. MZ: reviewing and editing the draft. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the Fundamental Research Funds for the Sichuan Province Institute of Animal Husbandry Research (SASA201905).

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.

Acknowledgments

We would like to thank Biomarker Technologies Corporation (Beijing, China) for RNA-sequencing and Tang Qianzi (Institute of Animal Genetics and Breeding, Sichuan Agricultural University) for helping with data analysis.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2022.838802/full#supplementary-material

References

1. Xiao S, Li R, El Zowalaty AE, Diao H, Zhao F, Choi Y, et al. Acidification of uterine epithelium during embryo implantation in mice. Biol Reprod. (2017) 96:232–43. doi: 10.1095/biolreprod.116.144451

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Kelleher AM, Milano-Foster J, Behura SK, Spencer TE. Uterine glands coordinate on-time embryo implantation and impact endometrial decidualization for pregnancy success. Nat Commun. (2018) 9:2435. doi: 10.1038/s41467-018-04848-8

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Maltepe E, Fisher SJ. Placenta: the forgotten organ. Annu Rev Cell Dev Biol. (2015) 31:523–52. doi: 10.1146/annurev-cellbio-100814-125620

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Slutsky R, Romero R, Xu Y, Galaz J, Miller D, Done B, et al. Exhausted and senescent T cells at the maternal-fetal interface in preterm and term labor. J Immunol Res. (2019) 2019:3128010. doi: 10.1155/2019/3128010

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Red-Horse K, Zhou Y, Genbacev O, Prakobphol A, Foulk R, McMaster M, et al. Trophoblast differentiation during embryo implantation and formation of the maternal-fetal interface. J Clin Invest. (2004) 114:744–54. doi: 10.1172/JCI200422991

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Knofler M, Haider S, Saleh L, Pollheimer J, Gamage T, James J. Human placenta and trophoblast development: key molecular mechanisms and model systems. Cell Mol Life Sci. (2019) 76:3479–96. doi: 10.1007/s00018-019-03104-6

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Majewska M, Lipka A, Paukszto L, Jastrzebski JP, Myszczynski K, Gowkielewicz M, et al. Transcriptome profile of the human placenta. Funct Integr Genomics. (2017) 17:551–63. doi: 10.1007/s10142-017-0555-y

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Soares MJ, Varberg KM, Iqbal K. Hemochorial placentation: development, function, and adaptations. Biol Reprod. (2018) 99:196–211. doi: 10.1093/biolre/ioy049

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Soares MJ, Varberg KM. Trophoblast. In: Soares MJ, editor. Encyclopedia of Reproduction (2nd edition). Amsterdam: Elsevier Inc. (2018). p. 417–23.

10. Latos PA, Hemberger M. From the stem of the placental tree: trophoblast stem cells and their progeny. Development. (2016) 143:3650–60. doi: 10.1242/dev.133462

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Soares MJ, Chapman BM, Rasmussen CA, Dai G, Kamei T, Orwig KE. Differentiation of trophoblast endocrine cells. Placenta. (1996) 17:277–89. doi: 10.1016/S0143-4004(96)90051-X

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Soares MJ. The prolactin and growth hormone families: pregnancy-specific hormones/cytokines at the maternal-fetal interface. Reprod Biol Endocrinol. (2004) 2:51. doi: 10.1186/1477-7827-2-51

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Campo H, Garcia-Dominguez X, Lopez-Martinez S, Faus A, Vicente Anton JS, Marco-Jimenez F, et al. Tissue-specific decellularized endometrial substratum mimicking different physiological conditions influences in vitro embryo development in a rabbit model. Acta Biomater. (2019) 89:126–38. doi: 10.1016/j.actbio.2019.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Liu JL, Zhao M, Peng Y, Fu YS. Identification of gene expression changes in rabbit uterus during embryo implantation. Genomics. (2016) 107:216–21. doi: 10.1016/j.ygeno.2016.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Maranesi M, Parillo F, Leonardi L, Rebollar PG, Alonso B, Petrucci L, et al. Expression of nerve growth factor and its receptors in the uterus of rabbits: functional involvement in prostaglandin synthesis. Domest Anim Endocrinol. (2016) 56:20–8. doi: 10.1016/j.domaniend.2016.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ticconi C, Pietropolli A, Di Simone N, Piccione E, Fazleabas A. Endometrial Immune Dysfunction in Recurrent Pregnancy Loss. Int J Mol Sci. (2019) 20:5332. doi: 10.3390/ijms20215332

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Erlebacher A. Immunology of the maternal-fetal interface. Annu Rev Immunol. (2013) 31:387–411. doi: 10.1146/annurev-immunol-032712-100003

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Rawn SM, Cross JC. The evolution, regulation, and function of placenta-specific genes. Annu Rev Cell Dev Biol. (2008) 24:159–81. doi: 10.1146/annurev.cellbio.24.110707.175418

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Kim J, Frey WD, He H, Kim H, Ekram MB, Bakshi A, et al. Peg3 mutational effects on reproduction and placenta-specific gene families. PLoS ONE. (2013) 8:e83359. doi: 10.1371/journal.pone.0083359

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Du MR, Wang SC, Li DJ. The integrative roles of chemokines at the maternal-fetal interface in early pregnancy. Cell Mol Immunol. (2014) 11:438–48. doi: 10.1038/cmi.2014.68

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Senger PL. Pathways to Pregnancy and Parturition. 2nd edition, WA, USA: Current Conceptions Inc. (2003) p. 205–24.

22. Uuskula L, Mannik J, Rull K, Minajeva A, Koks S, Vaas P, et al. Mid-gestational gene expression profile in placenta and link to pregnancy complications. PLoS ONE. (2012) 7:e49248. doi: 10.1371/journal.pone.0049248

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Devlieger R, Gratacos E, Wu J, Ardon H, Vereecken A, Deprest J. Biochemical differentiation of gestational compartments in the midgestational fetal rabbit. Fetal Diagn Ther. (2001) 16:289–93. doi: 10.1159/000053930

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, et al. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat Biotechnol. (2010) 28:511–5. doi: 10.1038/nbt.1621

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. (2001) 25:402–8. doi: 10.1006/meth.2001.1262

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hughes CE, Nibbs RJB. A guide to chemokines and their receptors. FEBS J. (2018) 285:2944–71. doi: 10.1111/febs.14466

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Dini P, Norris J, Ali HE, Loux SC, Carossino M, Esteller-Vico A, et al. Landscape of overlapping gene expression in the equine placenta. Genes. (2019) 10:503. doi: 10.3390/genes10070503

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Vaswani K, Chan HW, Peiris HN, Nitert MD, Bradley RJ, Armitage JA, et al. Gestation related gene expression of the endocannabinoid pathway in rat placenta. Mediators Inflamm. (2015) 2015:850471. doi: 10.1155/2015/850471

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Huang MY, Zhang WQ, Zhao M, Zhu C, He JP, Liu JL. Assessment of embryo-induced transcriptomic changes in hamster uterus using RNA-Seq. Cell Physiol Biochem. (2018) 46:1868–78. doi: 10.1159/000489371

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Samodelov SL, Kullak-Ublick GA, Gai Z, Visentin M. Organic cation transporters in human physiology, pharmacology, and toxicology. Int J Mol Sci. (2020) 21:7890. doi: 10.3390/ijms21217890

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Jakson I, Ujvari D, Brusell Gidlof S, Linden Hirschberg A. Insulin regulation of solute carrier family 2 member 1 (glucose transporter 1) expression and glucose uptake in decidualizing human endometrial stromal cells: an in vitro study. Reprod Biol Endocrinol. (2020) 18:117. doi: 10.1186/s12958-020-00674-0

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Bioparadigms SLC TABLES. Availabe online at: http://slc.bioparadigms.org/ (accessed December 25, 2020).

33. Oreshkova T, Dimitrov R, Mourdjeva M. A cross-talk of decidual stromal cells, trophoblast, and immune cells: a prerequisite for the success of pregnancy. Am J Reprod Immunol. (2012) 68:366–73. doi: 10.1111/j.1600-0897.2012.01165.x

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Li FF, Zhu XD, Yan P, Jin MH, Yue H, Zhang Q, et al. Characterization of variations in IL23A and IL23R genes: possible roles in multiple sclerosis and other neuroinflammatory demyelinating diseases. Aging. (2016) 8:2734–46. doi: 10.18632/aging.101058

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Yoon Y, Huang T, Tortelote GG, Wakamiya M, Hadjantonakis AK, Behringer RR, et al. Extra-embryonic Wnt3 regulates the establishment of the primitive streak in mice. Dev Biol. (2015) 403:80–8. doi: 10.1016/j.ydbio.2015.04.008

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Anne SL, Govek EE, Ayrault O, Kim JH, Zhu X, Murphy DA, et al. WNT3 inhibits cerebellar granule neuron progenitor proliferation and medulloblastoma formation via MAPK activation. PLoS ONE. (2013) 8:e81769. doi: 10.1371/journal.pone.0081769

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Xia HB, Wang HJ, Fu LQ, Wang SB, Li L, Ru GQ, et al. Decreased CRHBP expression is predictive of poor prognosis in patients with hepatocellular carcinoma. Oncol Lett. (2018) 16:3681–9. doi: 10.3892/ol.2018.9073

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Lee M, Lee Y, Song J, Lee J, Chang SY. Tissue-specific role of CX3CR1 expressing immune cells and their relationships with human disease. Immune Netw. (2018) 18:e5. doi: 10.4110/in.2018.18.e5

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Plooster M, Menon S, Winkle CC, Urbina FL, Monkiewicz C, Phend KD, et al. TRIM9-dependent ubiquitination of DCC constrains kinase signaling, exocytosis, and axon branching. Mol Biol Cell. (2017) 28:2374–85. doi: 10.1091/mbc.e16-08-0594

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Pan XY, Yang Y, Meng HW, Li HD, Chen X, Huang HM, et al. DNA methylation of PTGIS enhances hepatic stellate cells activation and liver fibrogenesis. Front Pharmacol. (2018) 9:553. doi: 10.3389/fphar.2018.00553

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Woo J, Kwon SK, Nam J, Choi S, Takahashi H, Krueger D, et al. The adhesion protein IgSF9b is coupled to neuroligin 2 via S-SCAM to promote inhibitory synapse development. J Cell Biol. (2013) 201:929–44. doi: 10.1083/jcb.201209132

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Bruce FM, Brown S, Smith JN, Fuerst PG, Erskine L. DSCAM promotes axon fasciculation and growth in the developing optic pathway. Proc Natl Acad Sci U S A. (2017) 114:1702–7. doi: 10.1073/pnas.1618606114

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Menon R, Papaconstantinou J. p38 Mitogen activated protein kinase (MAPK): a new therapeutic target for reducing the risk of adverse pregnancy outcomes. Expert Opin Ther Targets. (2016) 20:1397–412. doi: 10.1080/14728222.2016.1216980

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Trappanese DM, Sivilich S, Ets HK, Kako F, Autieri MV, Moreland RS. Regulation of mitogen-activated protein kinase by protein kinase C and mitogen-activated protein kinase phosphatase-1 in vascular smooth muscle. Am J Physiol Cell Physiol. (2016) 310:C921–930. doi: 10.1152/ajpcell.00311.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Newton AC, Antal CE, Steinberg SF. Protein kinase C mechanisms that contribute to cardiac remodelling. Clin Sci. (2016) 130:1499–510. doi: 10.1042/CS20160036

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Pudney J, He X, Masheeb Z, Kindelberger DW, Kuohung W, Ingalls RR. Differential expression of toll-like receptors in the human placenta across early gestation. Placenta. (2016) 46:1–10. doi: 10.1016/j.placenta.2016.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Land WG. How evolution tells us to induce allotolerance. Exp Clin Transplant. (2015) 13(Suppl. 1):46–54.

PubMed Abstract | Google Scholar

48. Svensson-Arvelund J, Ernerudh J. The role of macrophages in promoting and maintaining homeostasis at the fetal-maternal interface. Am J Reprod Immunol. (2015) 74:100–9. doi: 10.1111/aji.12357

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Yang F, Zheng Q, Jin L. Dynamic function and composition changes of immune cells during normal and pathological pregnancy at the maternal-fetal interface. Front Immunol. (2019) 10:2317. doi: 10.3389/fimmu.2019.02317

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Fujiwara H, Ono M, Sato Y, Imakawa K, Iizuka T, Kagami K, et al. Promoting roles of embryonic signals in embryo implantation and placentation in cooperation with endocrine and immune systems. Int J Mol Sci. (2020) 21:1885. doi: 10.3390/ijms21051885

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Burghardt RC, Burghardt JR, Taylor JD 2nd, Reeder AT, Nguen BT, Spencer TE, et al. Enhanced focal adhesion assembly reflects increased mechanosensation and mechanotransduction at maternal-conceptus interface and uterine wall during ovine pregnancy. Reproduction. (2009) 137:567–82. doi: 10.1530/REP-08-0304

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Klohonatz KM, Nulton LC, Hess AM, Bouma GJ, Bruemmer JE. The role of embryo contact and focal adhesions during maternal recognition of pregnancy. PLoS One. (2019) 14:e0213322. doi: 10.1371/journal.pone.0213322

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Zlotkowska A, Andronowska A. Chemokines as the modulators of endometrial epithelial cells remodelling. Sci Rep. (2019) 9:12968. doi: 10.1038/s41598-019-49502-5

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Zlotkowska A, Andronowska A. Variable chemokine expression in porcine trophoblasts and endometrium during the peri-implantation period. Theriogenology. (2019) 131:16–27. doi: 10.1016/j.theriogenology.2019.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Blaschitz A, Siwetz M, Schlenke P, Gauster M. Adhering maternal platelets can contribute to the cytokine and chemokine cocktail released by human first trimester villous placenta. Placenta. (2015) 36:1333–6. doi: 10.1016/j.placenta.2015.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Red-Horse K, Drake PM, Gunn MD, Fisher SJ. Chemokine ligand and receptor expression in the pregnant uterus: reciprocal patterns in complementary cell subsets suggest functional roles. Am J Pathol. (2001) 159:2199–213. doi: 10.1016/S0002-9440(10)63071-4

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Lee KM, Wilson GJ, Pingen M, Fukuoka A, Hansell CAH, Bartolini R, et al. Placental chemokine compartmentalisation: a novel mammalian molecular control mechanism. PLoS Biol. (2019) 17:e3000287. doi: 10.1371/journal.pbio.3000287

PubMed Abstract | CrossRef Full Text | Google Scholar

58. McIntosh SZ, Maestas MM, Dobson JR, Quinn KE, Runyan CL, Ashley R. L. CXCR4 signaling at the fetal-maternal interface may drive inflammation and syncytia formation during ovine pregnancydagger. Biol Reprod. (2021) 104:468–78. doi: 10.1093/biolre/ioaa203

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Chene A, Briand V, Ibitokou S, Dechavanne S, Massougbodji A, Deloron P, et al. Placental cytokine and chemokine profiles reflect pregnancy outcomes in women exposed to Plasmodium falciparum infection. Infect Immun. (2014) 82:3783–9. doi: 10.1128/IAI.01922-14

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Griffith OW, Chavan AR, Protopapas S, Maziarz J, Romero R, Wagner GP. Embryo implantation evolved from an ancestral inflammatory attachment reaction. Proc Natl Acad Sci U S A. (2017) 114:E6566–75. doi: 10.1073/pnas.1701129114

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Lin Y, Xu L, Jin H, Zhong Y, Di J, Lin QD. CXCL12 enhances exogenous CD4+CD25+ T cell migration and prevents embryo loss in non-obese diabetic mice. Fertil Steril. (2009) 91:2687–96. doi: 10.1016/j.fertnstert.2008.01.109

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Manou D, Caon I, Bouris P, Triantaphyllidou IE, Giaroni C, Passi A, et al. The complex interplay between extracellular matrix and cells in tissues. Methods Mol Biol. (2019) 1952:1–20. doi: 10.1007/978-1-4939-9133-4_1

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Na KH, Lee HJ, Choi JH, Eun JW, Nam SW, Yoon TK, et al. Dynamic alterations in integrin alpha4 expression by hypoxia are involved in trophoblast invasion during early implantation. J Cell Biochem. (2012) 113:685–94. doi: 10.1002/jcb.23398

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Frank JW, Steinhauser CB, Wang X, Burghardt RC, Bazer FW, Johnson GA. Loss of ITGB3 in ovine conceptuses decreases conceptus expression of NOS3 and SPP1: Implications for the developing placental vasculaturedagger. Biol Reprod. (2021) 104:657–68. doi: 10.1093/biolre/ioaa212

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Bukowska D, Kempisty B, Jackowska M, Wozna M, Antosik P, Piotrowska H, et al. Analysis of integrins and vascular endothelial growth factor isoforms mRNA expression in the canine uterus during perimplantation period. Pol J Vet Sci. (2011) 14:253–8. doi: 10.2478/v10181-011-0038-3

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Stoikos CJ, Salamonsen LA, Hannan NJ, O'Connor AE, Rombauts L, Dimitriadis E. Activin A regulates trophoblast cell adhesive properties: implications for implantation failure in women with endometriosis-associated infertility. Hum Reprod. (2010) 25:1767–74. doi: 10.1093/humrep/deq097

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Garcia P, Nieto A, Sanchez MA, Pizarro M, Flores JM. Expression of alphav, alpha4, alpha5 and beta3 integrin subunits, fibronectin and vitronectin in goat peri-implantation. Anim Reprod Sci. (2004) 80:91–100. doi: 10.1016/S0378-4320(03)00157-X

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Rout UK, Wang J, Paria BC, Armant DR. Alpha5beta1, alphaVbeta3 and the platelet-associated integrin alphaIIbbeta3 coordinately regulate adhesion and migration of differentiating mouse trophoblast cells. Dev Biol. (2004) 268:135–51. doi: 10.1016/j.ydbio.2003.12.010

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Akira S, Takeda K. Toll-like receptor signalling. Nat Rev Immunol. (2004) 4:499–511. doi: 10.1038/nri1391

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Stenhouse C, Hogg CO, Ashworth CJ. Association of foetal size and sex with porcine foeto-maternal interface integrin expression. Reproduction. (2019) 157:317–28. doi: 10.1530/REP-18-0520

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Chistiakov DA, Melnichenko AA, Myasoedova VA, Grechko AV, Orekhov AN. Thrombospondins: A role in cardiovascular disease. Int J Mol Sci. (2017) 18:1540. doi: 10.3390/ijms18071540

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Adams JC, Lawler J. The thrombospondins. Cold Spring Harb Perspect Biol. (2011) 3:a009712. doi: 10.1101/cshperspect.a009712

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Hannan NJ, Salamonsen LA. CX3CL1 and CCL14 regulate extracellular matrix and adhesion molecules in the trophoblast: potential roles in human embryo implantation. Biol Reprod. (2008) 79:58–65. doi: 10.1095/biolreprod.107.066480

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: endometrium, gene expression profiles, immune regulation, molecular adhesion, chorion

Citation: Mei X, Xu L, Ren Y, Yu M, Kuang L, Li C, Zhang Y, Lu C, Wang Z, Guo Z, Xie X, Huang D and Zhang M (2022) Transcriptome Comparison of Chorion-Attached and Non-chorion-attached Endometrium in Mid-gestation of Rabbit. Front. Vet. Sci. 9:838802. doi: 10.3389/fvets.2022.838802

Received: 18 December 2021; Accepted: 04 February 2022;
Published: 10 March 2022.

Edited by:

Marcelo Horacio Miragaya, University of Buenos Aires, Argentina

Reviewed by:

Tom Stout, Utrecht University, Netherlands
Pablo Fonseca, University of Guelph, Canada

Copyright © 2022 Mei, Xu, Ren, Yu, Kuang, Li, Zhang, Lu, Wang, Guo, Xie, Huang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ming Zhang, zhangming@sicau.edu.cn; Dengping Huang, huangdp327@163.com

These authors share first authorship

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