Abstract
Two-photon fluorescent trackers for monitoring of lipid droplets (LDs) would be highly effective for illustrating the critical roles of LDs in live cells or tissues. Although a number of one-photon fluorescent trackers for labeling LDs have been developed, their usability remains constrained in live sample imaging due to photo damage, shallow imaging depth, and auto-fluorescence. Recently, some two-photon fluorescent trackers for LDs have been developed to overcome these limitations. In this mini-review article, the advances in two-photon fluorescent trackers for monitoring of LDs are summarized. We summarize the chemical structures, two-photon properties, live sample imaging, and biomedical applications of the most recent representative two-photon fluorescent trackers for LDs. Additionally, the current challenges and future research trends for the two-photon fluorescent trackers of LDs are discussed.
Introduction
Lipid droplets (LDs) are the key organelles in live cells that mainly serve as the lipid repository containing neutral lipids, including triacylglycerol (TAG) and cholesterol ester (CE) (; ; ; ). LDs are related to many aspects of cellular biology processes, such as lipid transport, energy storage, signal transduction, and cellular homeostasis (; ; ; ; ; ). In recent years, LDs have been prominently regarded as biomarkers of a variety of diseases, including fatty liver, immune dysfunction, obesity, and other diseases related to lipid regulation (; ; Krahmer et al., 2013; ; ; ). Furthermore, LDs interact dynamically with other cellular organelles, such as endoplasmic reticulum (ER), plasma membrane, lysosomes, and mitochondria, mainly for LD formation, lipid homeostasis, autophagy, and lipolysis, respectively (; ; ; ). Therefore, it is highly desirable to establish an imaging method to specifically label the LDs in live samples.
Several approaches have been performed to study the dynamics of LDs using imaging methods, including Raman scattering microscopy, electron microscopy, and atomic force microscopy (; ; ; ). In particular, the fluorescence microscopy imaging method using LDs-specific fluorescent trackers is advantageous because of its convenience, non-invasiveness, and high sensitivity (; ). To date, a number of LDs-selective fluorescent trackers have been developed (; ; ; ). These trackers have been utilized to label LDs in cells and tissues. However, the most commonly used commercial trackers for LDs are BODIPY 493/503 and Nile Red, which have low LD specificity (). Moreover, the one-photon (OP) excited fluorescence (OPEF) trackers, which are only applicable to the conventional one-photon microscopy (OPM) are restricted in live sample imaging due to the light scattering, autofluorescence, photodamage, and shallow imaging depth (; ; ).
Two-photon (TP) microscopy (TPM), which utilizes two near-infrared (NIR) photons as the excitation source, has emerged as an advanced imaging tool for biomedical research, can afford outstanding features such as low self-absorption and background noise, high resolution, and photostability (). TPM can also provide long-term, in-depth real-time imaging of live samples (; ; ). Moreover, LD dynamics are sensitive and might be perturbed by the exogenous fluorescent trackers to label them in live samples. It is reported that small molecular size, high target specificity, and low concentration of the fluorescent trackers could minimize such perturbation (; ; ). However, the lack of small molecule LDs-trackers that are applicable for TPM limits the progress in the study of the dynamics of LDs. In this regard, the development of small molecule and high LDs-specific TP trackers optimized in the micromolar range and with a short incubation time is critical. Most recently, some small molecule TP trackers for LDs have been reported, and their excellent imaging capabilities to monitor the dynamics of LDs in live samples have been evaluated.
This mini-review briefly provides characteristics of the recent small molecule TP fluorescent trackers for LDs (Table 1). The chemical structures of the representative TP trackers are shown in Figure 1. Most of these trackers exhibit excellent two-photon excited fluorescence (TPEF) properties with LDs-specific labeling capabilities in live samples. The most impressive TP imaging experiments are shown in Figure 2.
TABLE 1
| Tracker | λabsa | λflb | Φc | Φδd | δe | [Tracker]f | Ex.g | Application |
|---|---|---|---|---|---|---|---|---|
| 1 | 599 | 630 | 0.44 | 48 | 110 | 2.0 | 543/790 | Rat adipose tissue |
| 2 | 447 | 619 | 0.22 | 47 | 213 | 5.0 | 442/840 | Mouse liver tissue |
| 3 | 478–502 | 594–612 | 0.05–0.10 | 12 | 119 | 5.0 | 473/920 | HCC827 cells |
| 4-1, 4-2 | 478, 454 | 664, 678 | 0.296, 0.07 | 117, 27 | 394, 390 | 1.0 | 488/900 | Mouse liver tissue |
| 5 | 518–535 | 524–544 | 0.004–0.30 | N.A.h | N.A. | 4.0 | 473/840 | Mouse liver tissue |
| 6 | 425 | 555 | 0.29 | 15 | 50 | 1.0 | 405/860 | Mouse liver tissue |
| 7 | 444 | 513 | 0.98 | 166 | 169 | 1.0 | 488/940 | Huh-7 cells |
| 8 | 445 | 611 | 0.20 | N.A. | N.A. | 5.0 | 465/900 | In vivo mouse liver tissue |
| 9 | 402 | 476–570 | N.A. | 73 | N.A. | 3.0 | 405/760 | Mouse liver tissue |
| 10 | 478–499 | 521–639 | 0.007–1.00 | 610 | 610 | 1.0 | 488/800 | In vivo mouse liver tissue |
Photophysical data of the representative small-molecule TP LDs trackers.
Maximum wavelength of one-photon absorption in nm.
Maximum wavelength of one-photon emission in nm.
Fluorescence quantum yield.
Two-photon action cross-sections in GM (10–50 cm4 s/photon).
Two-photon absorption cross-sections in GM (10–50 cm4 s/photon).
Cell loading concentration in μM.
One/Two photon excitation wavelengths for the fluorescence microscopy imaging in nm.
Data not available.
FIGURE 1
FIGURE 2
Characteristics and TP imaging applications of the representative TP LDs trackers
Most of the fluorescent trackers for LDs are characterized by small size, high lipophilicity, low amphiphilicity, and low conjugated bond number (
In 2017, Tang et al. introduced a Zn-Salen ligand complex TP LDs tracker (1, LD-TPZn, Figure 1B) and demonstrated its live cell imaging ability to specifically label LDs (
Jiang and co-workers reported an aggregation-induced emission (AIE) based TP LDs tracker (2, TPA-BI, Figure 1B) and applied it to mouse liver tissue slices to target LDs (
In the same year, Tang group synthesized 2-(4-(diphenylamino)benzylidene)-1H-indene-1,3(2H)-dione (3, IND-TPA, Figure 1B) as an AIE fluorescent tracker for LDs imaging (
In 2018, Zheng et al. reported NIR AIE based TP trackers (4-1 and 4-2, DCMa and DCPy, Figure 1B) and demonstrated their application to photodynamic therapy (PDT) of cancer cells (
Yu group utilized an amphiphilic TP LDs tracker (5, N-Cy, Figure 1B) by introducing a 2,3,3-trimethyl-indoleninium group into a nitrobenzoxadiazole fluorophore (
Niu et al. developed a novel AIE based LDs tracker (6, NAP-CF3, Figure 1B) and described the specific visualization of LDs in live cells and tissues (
In 2020, Kim group reported six candidate compounds that are compatible with both OPM and TPM for monitoring of LDs in live hepatic cells and tissues (
Later, Moon and Kim established an intravital TP imaging method using a small LDs tracker (8, SF-44, Figure 1B) and demonstrated the dynamic alteration of hepatic LDs (
In 2022, Han and co-workers synthesized a 5-(4-(diphenylamino)phenyl)thiophene-2-carbaldehyde as the TP LDs tracker (9, DTPC, Figure 1B), and applied it to monitor hepatic LDs in steatosis model (
Most recently, Lee et al. developed a red-emissive TP tracker for LDs (10, LD1, Figure 1B), and visualized the dynamics of LDs in real-time live sample imaging (
Conclusion and outlook
Intensive studies have been conducted to monitor LDs in recent years to understand their complicated dynamics in cells. The fluorescence imaging technique is the most reliable method. However, the specific aspects of the biological functions and the related metabolisms of LDs in live samples remain challenging. Therefore, novel fluorescent trackers that have low self-absorption and background noise, high resolution, and photostability could be a powerful tool for studying the dynamics of LDs. Most recently, as described above, some of the TP fluorescent trackers for LDs have been developed with superior advantages to the OP trackers for LDs. Using TPM, these TP LDs trackers could provide high quality, real-time, deep tissue imaging in live cells and tissues. Furthermore, multi-color imaging with these TP LDs trackers and other organelle trackers might be useful for monitoring the organelle interactions in a certain physiological and pathological status. In bio-medical applications, these may serve as a diagnosis, prognosis, drug screening, or therapy agent of LDs-related diseases.
More consideration should be given to TP LDs trackers and their bio-medical applications in the future for the progressive advances in this important research topic. It is very important that LDs interact dynamically with other cellular organelles, especially in LD generation, cellular homeostasis, lipid and membrane synthesis, autophagy, and other processes. For example, Huang et al. (2022) visualized the LDs and lysosomes under lipophagy process, and
Statements
Author contributions
DL and EK wrote the original draft. DL and EK contributed equally to this work. HL proposed this project and revised the draft. HK designed and supervised the project and mainly wrote the manuscript. All authors reviewed the manuscript and approved the final manuscript to be submitted.
Funding
This work was supported by grants from the National Leading Research Lab Program of the National Research Foundation of Korea (NRF), funded by the Korean government (MSIP) (NRF-2022R1A2B5B03001607), Center for Convergence Research of Neurological Disorders (NRF-2019R1A5A2026045), Basic Science Research Program (NRF-2021R1A6A1A10044950), and the Ajou University Research Fund.
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.
References
1
AbramczykH.SurmackiJ.KopecM.OlejnikA. K.Lubecka-PietruszewskaK.Fabianowska-MajewskaK. (2015). The role of lipid droplets and adipocytes in cancer. Raman imaging of cell cultures: MCF10A, MCF7, and MDA-MB-231 compared to adipocytes in cancerous human breast tissue. Analyst140 (7), 2224–2235. 10.1039/c4an01875c
2
BlomT.SomerharjuP.IkonenE. (2011). Synthesis and biosynthetic trafficking of membrane lipids. Cold Spring Harb. Perspect. Biol.3 (8), a004713. 10.1101/cshperspect.a004713
3
BozzaP. T.ViolaJ. P. (2010). Lipid droplets in inflammation and cancer. Prostagl. Leukot. Essent. Fat. Acids82 (4–6), 243–250. 10.1016/j.plefa.2010.02.005
4
ChenT.YavuzA.WangM. C. (2022). Dissecting lipid droplet biology with coherent Raman scattering microscopy. J. Cell Sci.135 (5), jcs252353. 10.1242/jcs.252353
5
ChoM. K.SeoM. J.JuvekarV.JoJ. H.KimW.ChoiK. S.et al (2020). Screening of drug-induced steatosis and phospholipidosis using lipid droplet-selective two-photon probes. Anal. Chem.92 (16), 11223–11231. 10.1021/acs.analchem.0c01728
6
CollotM.FamT. K.AshokkumarP.FaklarisO.GalliT.DanglotL.et al (2018). Ultrabright and fluorogenic probes for multicolor imaging and tracking of lipid droplets in cells and tissues. J. Am. Chem. Soc.140 (16), 5401–5411. 10.1021/jacs.7b12817
7
DejgaardS. Y.PresleyJ. F. (2021). Interactions of lipid droplets with the intracellular transport machinery. Int. J. Mol. Sci.22 (5), 2776. 10.3390/ijms22052776
8
FanL.WangX.ZanQ.FanL.LiF.YangY.et al (2021). Lipid droplet-specific fluorescent probe for in vivo visualization of polarity in fatty liver, inflammation, and cancer models. Anal. Chem.93 (22), 8019–8026. 10.1021/acs.analchem.1c01125
9
FareseR. V.Jr.WaltherT. C. (2009). Lipid droplets finally get a little RESPECT. Cell139 (5), 855–860. 10.1016/j.cell.2009.11.005
10
FujimotoT.OhsakiY.SuzukiM.ChengJ. (2013). Imaging lipid droplets by electron microscopy. Methods Cell Biol.116, 227–251. 10.1016/B978-0-12-408051-5.00012-7
11
FujimotoT.PartonR. G. (2011). Not just fat: The structure and function of the lipid droplet. Cold Spring Harb. Perspect. Biol.3 (3), a004838. 10.1101/cshperspect.a004838
12
GaoM.SuH.LiS.LinY.LingX.QinA.et al (2017). An easily accessible aggregation-induced emission probe for lipid droplet-specific imaging and movement tracking. Chem. Commun.53 (5), 921–924. 10.1039/c6cc09471f
13
GreenbergA. S.ColemanR. A.KraemerF. B.McManamanJ. L.ObinM. S.PuriV.et al (2011). The role of lipid droplets in metabolic disease in rodents and humans. J. Clin. Investig.121 (6), 2102–2110. 10.1172/JCI46069
14
GuoL.TianM.FengR.ZhangG.ZhangR.LiX.et al (2018). Interface-targeting strategy enables two-photon fluorescent lipid droplet probes for high-fidelity imaging of turbid tissues and detecting fatty liver. ACS Appl. Mat. Interfaces10 (13), 10706–10717. 10.1021/acsami.8b00278
15
HanJ.LeeH. W.ChenY.LiH.KimH. M.YoonJ. (2022). Observing hepatic steatosis with a commercially viable two-photon fluorogenic probe. Mat. Chem. Front.6 (5), 553–560. 10.1039/D1QM01665B
16
HerkerE.HarrisC.HernandezC.CarpentierA.KaehlckeK.RosenbergA. R.et al (2010). Efficient hepatitis C virus particle formation requires diacylglycerol acyltransferase-1. Nat. Med.16 (11), 1295–1298. 10.1038/nm.2238
17
HuangH.BuY.YuZ. P.RongM.LiR.WangZ.et al (2022). Solvatochromic Two-Photon Fluorescent Probe Enables In Situ Lipid Droplet Multidynamics Tracking for Nonalcoholic Fatty Liver and Inflammation Diagnoses. Anal. Chem.94 (39), 13396–13403. 10.1021/acs.analchem.2c01960
18
JiangM.GuX.LamJ. W. Y.ZhangY.KwokR. T. K.WongK. S.et al (2017). Two-photon AIE bio-probe with large Stokes shift for specific imaging of lipid droplets. Chem. Sci.8 (8), 5440–5446. 10.1039/c7sc01400g
19
JuvekarV.LeeH. W.LeeD. J.KimH. M. (2022). Two-photon fluorescent probes for quantitative bio-imaging analysis in live tissues. TrAC Trends Anal. Chem.157, 116787. 10.1016/j.trac.2022.116787
20
KimE.LeeY.LeeS.ParkS. B. (2015). Discovery, understanding, and bioapplication of organic fluorophore: A case study with an indolizine-based novel fluorophore, seoul-fluor. Acc. Chem. Res.48 (3), 538–547. 10.1021/ar500370v
21
KimH. M.ChoB. R. (2015). Small-molecule two-photon probes for bioimaging applications. Chem. Rev.115 (11), 5014–5055. 10.1021/cr5004425
22
KimH. M.ChoB. R. (2009). Two-photon probes for intracellular free metal ions, acidic vesicles, and lipid rafts in live tissues. Acc. Chem. Res.42 (7), 863–872. 10.1021/ar800185u
23
KobatD.HortonN. G.XuC. (2011). In vivo two-photon microscopy to 1.6-mm depth in mouse cortex. J. Biomed. Opt.16 (10), 1. 10.1117/1.3646209
24
KowadaT.MaedaH.KikuchiK. (2015). BODIPY-based probes for the fluorescence imaging of biomolecules in living cells. Chem. Soc. Rev.44 (14), 4953–4972. 10.1039/c5cs00030k
25
LeeC. G.LeeS. J.ParkS.ChoiS. E.SongM. W.LeeH. W.et al (2022). In vivo two-photon imaging analysis of dynamic degradation of hepatic lipid droplets in MS-275-treated mouse liver. Int. J. Mol. Sci.23 (17), 9978. 10.3390/ijms23179978
26
LeeH. W.HeoC. H.SenD.ByunH. O.KwakI. H.YoonG.et al (2014). Ratiometric two-photon fluorescent probe for quantitative detection of beta-galactosidase activity in senescent cells. Anal. Chem.86 (20), 10001–10005. 10.1021/ac5031013
27
LeeH. W.LeeI. J.LeeS. J.KimY. R.KimH. M. (2022). Highly sensitive two-photon lipid droplet tracker for in vivo screening of drug induced liver injury. ACS Sens.7 (4), 1027–1035. 10.1021/acssensors.1c02679
28
LiY. X.XieD. T.YangY. X.ChenZ.GuoW. Y.YangW. C. (2022). Development of small-molecule fluorescent probes targeting enzymes. Molecules27 (14), 4501. 10.3390/molecules27144501
29
LiuQ.LuoQ.HalimA.SongG. (2017). Targeting lipid metabolism of cancer cells: A promising therapeutic strategy for cancer. Cancer Lett.401, 39–45. 10.1016/j.canlet.2017.05.002
30
Lozano-TorresB.BlandezJ. F.GalianaI.Lopez-DominguezJ. A.RoviraM.Paez-RibesM.et al (2021). A two-photon probe based on naphthalimide-styrene fluorophore for the in vivo tracking of cellular senescence. Anal. Chem.93 (5), 3052–3060. 10.1021/acs.analchem.0c05447
31
MartinS.PartonR. G. (2005). Caveolin, cholesterol, and lipid bodies. Semin. Cell Dev. Biol.16 (2), 163–174. 10.1016/j.semcdb.2005.01.007
32
MoonJ.KimP. (2021). Intravital two-photon imaging of dynamic alteration of hepatic lipid droplets in fasted and refed state. J. Lipid Atheroscler.10 (3), 313–321. 10.12997/jla.2021.10.3.313
33
MurphyD. J.VanceJ. (1999). Mechanisms of lipid-body formation. Trends biochem. Sci.24 (3), 109–115. 10.1016/s0968-0004(98)01349-8
34
NeefA. B.SchultzC. (2009). Selective fluorescence labeling of lipids in living cells. Angew. Chem. Int. Ed.48 (8), 1498–1500. 10.1002/anie.200805507
35
NiuG.ZhangR.KwongJ. P. C.LamJ. W. Y.ChenC.WangJ.et al (2018). Specific two-photon imaging of live cellular and deep-tissue lipid droplets by lipophilic AIEgens at ultralow concentration. Chem. Mat.30 (14), 4778–4787. 10.1021/acs.chemmater.8b01943
36
OlzmannJ. A.CarvalhoP. (2019). Dynamics and functions of lipid droplets. Nat. Rev. Mol. Cell Biol.20 (3), 137–155. 10.1038/s41580-018-0085-z
37
OlzmannJ. A.RichterC. M.KopitoR. R. (2013). Spatial regulation of UBXD8 and p97/VCP controls ATGL-mediated lipid droplet turnover. Proc. Natl. Acad. Sci. U. S. A.110 (4), 1345–1350. 10.1073/pnas.1213738110
38
ShohamN.GirshovitzP.KatzengoldR.ShakedN. T.BenayahuD.GefenA. (2014). Adipocyte stiffness increases with accumulation of lipid droplets. Biophys. J.106 (6), 1421–1431. 10.1016/j.bpj.2014.01.045
39
StockertJ. C.AbasoloM. I.Blazquez-CastroA.HorobinR. W.RevillaM.LombardoD. M. (2010). Selective labeling of lipid droplets in aldehyde fixed cell monolayers by lipophilic fluorochromes. Biotech. Histochem.85 (5), 277–283. 10.3109/10520290903196183
40
SuzukiN.FukazawaA.NaguraK.SaitoS.Kitoh-NishiokaH.YokogawaD.et al (2014). A strap strategy for construction of an excited-state intramolecular proton transfer (ESIPT) system with dual fluorescence. Angew. Chem. Int. Ed.53 (31), 8231–8235. 10.1002/anie.201404867
41
TangJ.ZhangY.YinH. Y.XuG.ZhangJ. L. (2017). Precise labeling and tracking of lipid droplets in adipocytes using a luminescent ZnSalen complex. Chem. Asian J.12 (19), 2533–2538. 10.1002/asia.201701010
42
Tauchi-SatoK.OzekiS.HoujouT.TaguchiR.FujimotoT. (2002). The surface of lipid droplets is a phospholipid monolayer with a unique Fatty Acid composition. J. Biol. Chem.277 (46), 44507–44512. 10.1074/jbc.M207712200
43
ThieleC.SpandlJ. (2008). Cell biology of lipid droplets. Curr. Opin. Cell Biol.20 (4), 378–385. 10.1016/j.ceb.2008.05.009
44
WangK.MaS.MaY.ZhaoY.XingM.ZhouL.et al (2020a). Aurone derivative revealing the metabolism of lipid droplets and monitoring oxidative stress in living cells. Anal. Chem.92 (9), 6631–6636. 10.1021/acs.analchem.0c00456
45
WangK.MaW.XuY.LiuX.ChenG.YuM.et al (2020b). Design of a novel mitochondria targetable turn-on fluorescence probe for hydrogen peroxide and its two-photon bioimaging applications. Chin. Chem. Lett.31 (12), 3149–3152. 10.1016/j.cclet.2020.08.039
46
WangL.LiuJ.MiaoZ.PanQ.CaoW. (2021). Lipid droplets and their interactions with other organelles in liver diseases. Int. J. Biochem. Cell Biol.133, 105937. 10.1016/j.biocel.2021.105937
47
WangZ.GuiC.ZhaoE.WangJ.LiX.QinA.et al (2016). Specific fluorescence probes for lipid droplets based on simple AIEgens. ACS Appl. Mat. Interfaces8 (16), 10193–10200. 10.1021/acsami.6b01282
48
WelteM. A.GouldA. P. (2017). Lipid droplet functions beyond energy storage. Biochimica Biophysica Acta - Mol. Cell Biol. Lipids1862 (10), 1260–1272. 10.1016/j.bbalip.2017.07.006
49
WertherP.YserentantK.BraunF.GrussmayerK.NavikasV.YuM.et al (2021). Bio-orthogonal red and far-red fluorogenic probes for wash-free live-cell and super-resolution microscopy. ACS Cent. Sci.7 (9), 1561–1571. 10.1021/acscentsci.1c00703
50
ZehmerJ. K.HuangY.PengG.PuJ.AndersonR. G.LiuP. (2009). A role for lipid droplets in inter-membrane lipid traffic. Proteomics9 (4), 914–921. 10.1002/pmic.200800584
51
ZhangC.BoppartS. A. (2020). Dynamic signatures of lipid droplets as new markers to quantify cellular metabolic changes. Anal. Chem.92 (24), 15943–15952. 10.1021/acs.analchem.0c03366
52
ZhangX.YuanL.JiangJ.HuJ.du RietzA.CaoH.et al (2020). Light-up lipid droplets dynamic behaviors using a red-emitting fluorogenic probe. Anal. Chem.92 (5), 3613–3619. 10.1021/acs.analchem.9b04410
53
ZhaoY.ShiW.LiX.MaH. (2022). Recent advances in fluorescent probes for lipid droplets. Chem. Commun.58 (10), 1495–1509. 10.1039/d1cc05717k
54
ZhengZ.ZhangT.LiuH.ChenY.KwokR. T. K.MaC.et al (2018). Bright near-infrared aggregation-induced emission luminogens with strong two-photon absorption, excellent organelle specificity, and efficient photodynamic therapy potential. ACS Nano12 (8), 8145–8159. 10.1021/acsnano.8b03138
Summary
Keywords
lipid droplet, lipid metabolism, organelle tracker, two-photon microscopy, live sample imaging
Citation
Lee DJ, Kim ES, Lee HW and Kim HM (2022) Advances in small molecule two-photon fluorescent trackers for lipid droplets in live sample imaging. Front. Chem. 10:1072143. doi: 10.3389/fchem.2022.1072143
Received
17 October 2022
Accepted
07 November 2022
Published
25 November 2022
Volume
10 - 2022
Edited by
Lei Feng, Second Affiliated Hospital of Dalian Medical University, China
Reviewed by
Kang-Nan Wang, Shandong University, China
Lin Yuan, Hunan University, China
Pilhan Kim, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Updates

Check for updates
Copyright
© 2022 Lee, Kim, Lee and Kim.
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: Hyo Won Lee, darkchemist@ajou.ac.kr; Hwan Myung Kim, kimhm@ajou.ac.kr
†These authors have contributed equally to this work
This article was submitted to Chemical Biology, a section of the journal Frontiers in Chemistry
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.