[1] |
Wang Z, Gerstein M, Snyder M. RNA⁃Seq: a revolutionary tool for transcriptomics[J]. Nat Rev Genet, 2009,10(1):57⁃63. doi: 10.1038/nrg2484.
|
[2] |
Papalexi E, Satija R. Single⁃cell RNA sequencing to explore immune cell heterogeneity[J]. Nat Rev Immunol, 2018,18(1):35⁃45. doi: 10.1038/nri.2017.76.
|
[3] |
Tang F, Barbacioru C, Wang Y, et al. mRNA⁃Seq whole⁃transcriptome analysis of a single cell[J]. Nat Methods, 2009,6(5):377⁃382. doi: 10.1038/nmeth.1315.
|
[4] |
Baslan T, Hicks J. Unravelling biology and shifting paradigms in cancer with single⁃cell sequencing[J]. Nat Rev Cancer, 2017,17(9):557⁃569. doi: 10.1038/nrc.2017.58.
|
[5] |
Zhao T, Fu Y, Zhu J, et al. Single⁃cell RNA⁃seq reveals dynamic early embryonic⁃like programs during chemical reprogramming[J]. Cell Stem Cell, 2018,23(1):31⁃45.e7. doi: 10.1016/j.stem. 2018.05.025.
|
[6] |
Ishii S, Tago K, Senoo K. Single⁃cell analysis and isolation for microbiology and biotechnology: methods and applications[J]. Appl Microbiol Biotechnol, 2010,86(5):1281⁃1292. doi: 10.1007/ s00253⁃010⁃2524⁃4.
|
[7] |
Lafzi A, Moutinho C, Picelli S, et al. Tutorial: guidelines for the experimental design of single⁃cell RNA sequencing studies[J]. Nat Protoc, 2018,13(12):2742⁃2757. doi: 10.1038/s41596⁃018⁃0073⁃y.
|
[8] |
Fuchs E. Scratching the surface of skin development[J]. Nature, 2007,445(7130):834⁃842. doi: 10.1038/nature05659.
|
[9] |
Joost S, Zeisel A, Jacob T, et al. Single⁃cell transcriptomics reveals that differentiation and spatial signatures shape epidermal and hair follicle heterogeneity[J]. Cell Syst, 2016,3(3):221⁃237.e9. doi: 10.1016/j.cels.2016.08.010.
|
[10] |
Tabib T, Morse C, Wang T, et al. SFRP2/DPP4 and FMO1/LSP1 define major fibroblast populations in human skin[J]. J Invest Dermatol, 2018,138(4):802⁃810. doi: 10.1016/j.jid.2017.09.045.
|
[11] |
Philippeos C, Telerman SB, Oulès B, et al. Spatial and single⁃cell transcriptional profiling identifies functionally distinct human dermal fibroblast subpopulations[J]. J Invest Dermatol, 2018,138(4):811⁃825. doi: 10.1016/j.jid.2018.01.016.
|
[12] |
Kolter J, Feuerstein R, Zeis P, et al. A subset of skin macrophages contributes to the surveillance and regeneration of local nerves[J]. Immunity, 2019,50(6):1482⁃1497.e7. doi: 10. 1016/j.immuni.2019.05.009.
|
[13] |
Madan E, Gogna R, Moreno E. Cell competition in development: information from flies and vertebrates[J]. Curr Opin Cell Biol, 2018,55:150⁃157. doi: 10.1016/j.ceb.2018.08.002.
|
[14] |
Ellis SJ, Gomez NC, Levorse J, et al. Distinct modes of cell competition shape mammalian tissue morphogenesis[J]. Nature, 2019,569(7757):497⁃502. doi: 10.1038/s41586⁃019⁃1199⁃y.
|
[15] |
Cheng JB, Sedgewick AJ, Finnegan AI, et al. Transcriptional programming of normal and inflamed human epidermis at single⁃cell resolution[J]. Cell Rep, 2018,25(4):871⁃883. doi: 10.1016/j.celrep.2018.09.006.
|
[16] |
Strassner JP, Gellatly KJ, Rashighi M, et al. Dissecting autoimmune signaling networks in vitiligo using single⁃cell RNA⁃sequencing of cells isolated directly from lesional skin[J]. J Invest Dermatol, 2018,138(5, Suppl):S18. doi: 10.1016/j.jid.2018.03.107.
|
[17] |
Angiolilli C, Marut W, van der Kroef M, et al. New insights into the genetics and epigenetics of systemic sclerosis[J]. Nat Rev Rheumatol, 2018,14(11):657⁃673. doi: 10.1038/s41584⁃018⁃0099⁃0.
|
[18] |
Apostolidis SA, Stifano G, Tabib T, et al. Single cell RNA sequencing identifies HSPG2 and APLNR as markers of endothelial cell injury in systemic sclerosis skin[J]. Front Immunol, 2018,9:2191. doi: 10.3389/fimmu.2018.02191.
|
[19] |
Torre LA, Bray F, Siegel RL, et al. Global cancer statistics, 2012[J]. CA Cancer J Clin, 2015,65(2):87⁃108. doi: 10.3322/caac. 21262.
|
[20] |
Lukowski SW, Tuong ZK, Noske K, et al. Detection of HPV E7 transcription at single⁃cell resolution in epidermis[J]. J Invest Dermatol, 2018,138(12):2558⁃2567. doi: 10.1016/j.jid.2018.06. 169.
|
[21] |
Salzer MC, Lafzi A, Berenguer⁃Llergo A, et al. Identity noise and adipogenic traits characterize dermal fibroblast aging[J]. Cell, 2018,175(6):1575⁃1590.e22. doi: 10.1016/j.cell.2018.10.012.
|
[22] |
Gurtner G, Werner S, Barrandon Y, et al. Wound repair and regeneration[J]. Nature, 2008, 453(7193): 314⁃321. doi: 10.1038/ nature07039.
|
[23] |
Wu X, Yang B, Udo⁃Inyang I, et al. Research techniques made simple: single⁃cell RNA sequencing and its applications in dermatology[J]. J Invest Dermatol, 2018,138(5):1004⁃1009. doi: 10.1016/j.jid.2018.01.026.
|
[24] |
Joost S, Jacob T, Sun X, et al. Single⁃cell transcriptomics of traced epidermal and hair follicle stem cells reveals rapid adaptations during wound healing[J]. Cell Rep, 2018,25(3):585⁃597.e7. doi: 10.1016/j.celrep.2018.09.059.
|
[25] |
Guerrero⁃Juarez CF, Dedhia PH, Jin S, et al. Single⁃cell analysis reveals fibroblast heterogeneity and myeloid⁃derived adipocyte progenitors in murine skin wounds[J]. Nat Commun, 2019,10(1):650. doi: 10.1038/s41467⁃018⁃08247⁃x.
|
[26] |
Kopper O, de Witte CJ, Lõhmussaar K, et al. An organoid platform for ovarian cancer captures intra⁃ and interpatient heterogeneity[J]. Nat Med, 2019,25(5):838⁃849. doi: 10.1038/s41591⁃019⁃0422⁃6.
|
[27] |
Tirosh I, Izar B, Prakadan SM, et al. Dissecting the multicellular ecosystem of metastatic melanoma by single⁃cell RNA⁃seq[J]. Science, 2016,352(6282):189⁃196. doi: 10.1126/science.aad0501.
|
[28] |
Puram SV, Tirosh I, Parikh AS, et al. Single⁃cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer[J]. Cell, 2017,171(7):1611⁃1624.e24. doi: 10.1016/ j.cell.2017.10.044.
|
[29] |
Gaydosik AM, Tabib T, Geskin LJ, et al. Single⁃cell lymphocyte heterogeneity in advanced cutaneous T⁃cell lymphoma skin tumors[J]. Clin Cancer Res, 2019,25(14):4443⁃4454. doi: 10. 1158/1078⁃0432.CCR⁃19⁃0148.
|
[30] |
Borcherding N, Voigt AP, Liu V, et al. Single⁃cell profiling of cutaneous T⁃cell lymphoma reveals underlying heterogeneity associated with disease progression[J]. Clin Cancer Res, 2019,25(10):2996⁃3005. doi: 10.1158/1078⁃0432.CCR⁃18⁃3309.
|
[31] |
Naidoo J, Dykema A, D′Alessio F. An adapted anti⁃CTLA4 therapeutic aimed at mitigating the toxicities of checkpoint inhibition[J]. J Clin Invest, 2019,129(1):75⁃77. doi: 10.1172/JCI125800.
|
[32] |
Das R, Bar N, Ferreira M, et al. Early B cell changes predict autoimmunity following combination immune checkpoint blockade[J]. J Clin Invest, 2018,128(2):715⁃720. doi: 10.1172/JCI96798.
|
[33] |
Rambow F, Rogiers A, Marin⁃Bejar O, et al. Toward minimal residual disease⁃directed therapy in melanoma[J]. Cell, 2018,174(4):843⁃855.e19. doi: 10.1016/j.cell.2018.06.025.
|
[34] |
Miao Y, Yang H, Levorse J, et al. Adaptive immune resistance emerges from tumor⁃initiating stem cells[J]. Cell, 2019,177(5):1172⁃1186.e14. doi: 10.1016/j.cell.2019.03.025.
|
[35] |
Wu X, Yang B, Udo⁃Inyang I, et al. Research techniques made simple: single⁃cell RNA sequencing and its applications in dermatology[J]. J Invest Dermatol, 2018,138(5):1004⁃1009. doi: 10.1016/j.jid.2018.01.026.
|