The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Construction of a human cell landscape at single-cell level
Abstract
Single-cell analysis is a valuable tool for dissecting cellular heterogeneity in complex systems 1. However, a comprehensive single-cell atlas has not been achieved for humans. Here we use single-cell mRNA sequencing to determine the cell-type composition of all major human organs and construct a scheme for the human cell landscape (HCL). We have uncovered a single-cell hierarchy for many tissues that have not been well characterized. We established a 'single-cell HCL analysis' pipeline that helps to define human cell identity. Finally, we performed a single-cell comparative analysis of landscapes from human and mouse to identify conserved genetic networks. We found that stem and progenitor cells exhibit strong transcriptomic stochasticity, whereas differentiated cells are more distinct. Our results provide a useful resource for the study of human biology.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“By leveraging a recent human pan-tissue scRNA-Seq data (a.k.a. Human Cell Landscape; HCL) [12], we can identify cell-type specific/selective E3 ligases to facilitate the development of tumor-specific/selective PROTACs.”
From Proteolysis targeting chimeras (PROTACs) are emerging therapeutics for hematologic malignancies (2020) · cites this paper as [12]
Citations
Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Self-citationSTAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
SCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology · doi:10.1186/s13059-017-1382-0 · Cited by 8,881
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.
Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
The single-cell transcriptional landscape of mammalian organogenesis
Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0969-x · Cited by 4,490
circlize implements and enhances circular visualization in R
Gu, Z., Gu, L., Eils, R., Schlesner, M., & Brors, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu393 · Cited by 4,290
La Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., Lidschreiber, K., Kastriti, M. E., Lönnerberg, P., Furlan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0414-6 · Cited by 4,118
mRNA-Seq whole-transcriptome analysis of a single cell
Tang, F., Barbacioru, C., Wang, Y., Nordman, E., Lee, C., Xu, N., Wang, X., Bodeau, J., Tuch, B. B., Siddiqui, A., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1315 · Cited by 3,969
Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells
Klein, A. M., Mazutis, L., Akartuna, I., Tallapragada, N., Veres, A., Li, V., Peshkin, L., Weitz, D. A., & Kirschner, M. W. (2015) · Cell · doi:10.1016/j.cell.2015.04.044 · Cited by 3,356
Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
The Tabula Muris Consortium, coordination, O., coordination, L., processing, O. C. A., sequencing, L. P. A., analysis, C. D., annotation, C. T., Writing group, Supplemental text writing group, & Principal investigators (2018) · Nature · doi:10.1038/s41586-018-0590-4 · Cited by 2,842
Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
Villani, A.-C., Satija, R., Reynolds, G., Sarkizova, S., Shekhar, K., Fletcher, J., Griesbeck, M., Butler, A., Zheng, S., Lazo, S., et al. (2017) · Science · doi:10.1126/science.aah4573 · Cited by 2,413
Single-cell reconstruction of the early maternal–fetal interface in humans
Vento-Tormo, R., Efremova, M., Botting, R. A., Turco, M. Y., Vento-Tormo, M., Meyer, K. B., Park, J.-E., Stephenson, E., Polański, K., Goncalves, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0698-6 · Cited by 2,358
dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering
Galili, T. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv428 · Cited by 1,826
Conserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775
Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells
Yan, L., Yang, M., Guo, H., Yang, L., Wu, J., Li, R., Liu, P., Lian, Y., Zheng, X., Yan, J., et al. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2660 · Cited by 1,740
Self-citationWolf, F. A., Hamey, F. K., Plass, M., Solana, J., Dahlin, J. S., Göttgens, B., Rajewsky, N., Simon, L., & Theis, F. J. (2019) · Genome Biology · doi:10.1186/s13059-019-1663-x · Cited by 1,698
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
Ramsköld, D., Luo, S., Wang, Y.-C., Li, R., Deng, Q., Faridani, O. R., Daniels, G. A., Khrebtukova, I., Loring, J. F., Laurent, L. C., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2282 · Cited by 1,609
Mapping the Mouse Cell Atlas by Microwell-Seq
Han, X., Wang, R., Zhou, Y., Fei, L., Sun, H., Lai, S., Saadatpour, A., Zhou, Z., Chen, H., Ye, F., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.001 · Cited by 1,597
Self-citationReversal of diabetes with insulin-producing cells derived in vitro from human pluripotent stem cells
Rezania, A., Bruin, J. E., Arora, P., Rubin, A., Batushansky, I., Asadi, A., O'Dwyer, S., Quiskamp, N., Mojibian, M., Albrecht, T., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.3033 · Cited by 1,575
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
Segerstolpe, Å., Palasantza, A., Eliasson, P., Andersson, E.-M., Andréasson, A.-C., Sun, X., Picelli, S., Sabirsh, A., Clausen, M., Bjursell, M. K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.020 · Cited by 1,550
Baron, M., Veres, A., Wolock, S. L., Faust, A. L., Gaujoux, R., Vetere, A., Ryu, J. H., Wagner, B. K., Shen-Orr, S. S., Klein, A. M., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.08.011 · Cited by 1,508
Cao, J., Packer, J. S., Ramani, V., Cusanovich, D. A., Huynh, C., Daza, R., Qiu, X., Lee, C., Furlan, S. N., Steemers, F. J., et al. (2017) · doi:10.1101/104844 · Cited by 1,402
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
Treutlein, B., Brownfield, D. G., Wu, A. R., Neff, N. F., Mantalas, G. L., Espinoza, F. H., Desai, T. J., Krasnow, M. A., & Quake, S. R. (2014) · Nature · doi:10.1038/nature13173 · Cited by 1,342
A Single-Cell Transcriptome Atlas of the Human Pancreas
Muraro, M. J., Dharmadhikari, G., Grün, D., Gröen, N., Dielen, T., Jansen, E., van Gurp, L., Engelse, M. A., Carlotti, F., de Koning, E. J. P., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.09.002 · Cited by 1,307
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
Shalek, A. K., Satija, R., Adiconis, X., Gertner, R. S., Gaublomme, J. T., Raychowdhury, R., Schwartz, S., Yosef, N., Malboeuf, C., Lu, D., et al. (2013) · Nature · doi:10.1038/nature12172 · Cited by 1,190
A human liver cell atlas reveals heterogeneity and epithelial progenitors
Aizarani, N., Saviano, A., Sagar, Mailly, L., Durand, S., Herman, J. S., Pessaux, P., Baumert, T. F., & Grün, D. (2019) · Nature · doi:10.1038/s41586-019-1373-2 · Cited by 1,147
Buettner, F., Natarajan, K. N., Casale, F. P., Proserpio, V., Scialdone, A., Theis, F. J., Teichmann, S. A., Marioni, J. C., & Stegle, O. (2015) · Nature Biotechnology · doi:10.1038/nbt.3102 · Cited by 1,136
Human cerebral organoids recapitulate gene expression programs of fetal neocortex development
Camp, J. G., Badsha, F., Florio, M., Kanton, S., Gerber, T., Wilsch-Bräuninger, M., Lewitus, E., Sykes, A., Hevers, W., Lancaster, M., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520760112 · Cited by 1,130
A single-cell atlas of the airway epithelium reveals the CFTR-rich pulmonary ionocyte
Plasschaert, L. W., Žilionis, R., Choo-Wing, R., Savova, V., Knehr, J., Roma, G., Klein, A. M., & Jaffe, A. B. (2018) · Nature · doi:10.1038/s41586-018-0394-6 · Cited by 1,047
A single-cell molecular map of mouse gastrulation and early organogenesis
Pijuan-Sala, B., Griffiths, J. A., Guibentif, C., Hiscock, T. W., Jawaid, W., Calero-Nieto, F. J., Mulas, C., Ibarra-Soria, X., Tyser, R. C. V., Ho, D. L. L., et al. (2019) · Nature · doi:10.1038/s41586-019-0933-9 · Cited by 1,033
Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain
Lake, B. B., Chen, S., Sos, B. C., Fan, J., Kaeser, G. E., Yung, Y. C., Duong, T. E., Gao, D., Chun, J., Kharchenko, P. V., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4038 · Cited by 983
Human haematopoietic stem cell lineage commitment is a continuous process
Velten, L., Haas, S. F., Raffel, S., Blaszkiewicz, S., Islam, S., Hennig, B. P., Hirche, C., Lutz, C., Buss, E. C., Nowak, D., et al. (2017) · Nature Cell Biology · doi:10.1038/ncb3493 · Cited by 925
Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis
Farrell, J. A., Wang, Y., Riesenfeld, S. J., Shekhar, K., Regev, A., & Schier, A. F. (2018) · Science · doi:10.1126/science.aar3131 · Cited by 876
Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo
Wagner, D. E., Weinreb, C., Collins, Z. M., Briggs, J. A., Megason, S. G., & Klein, A. M. (2018) · Science · doi:10.1126/science.aar4362 · Cited by 849
Molecular diversity of midbrain development in mouse, human, and stem cells
La Manno, G., Gyllborg, D., Codeluppi, S., Nishimura, K., Salto, C., Zeisel, A., Borm, L. E., Stott, S. R. W., Toledo, E. M., Villaescusa, J. C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.027 · Cited by 835
Scaling single-cell genomics from phenomenology to mechanism
Tanay, A., & Regev, A. (2017) · Nature · doi:10.1038/nature21350 · Cited by 792
Unlocking the secrets of the genome
Celniker, S., Dillon, L. A. L., Gerstein, M., Gunsalus, K. C., Henikoff, S., Karpen, G. H., Kellis, M., Lai, E. C., Lieb, J. D., MacAlpine, D. M., et al. (2009) · Nature · doi:10.1038/459927a · Cited by 781
Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors
Young, M. D., Mitchell, T. J., Vieira Braga, F. A., Tran, M. G. B., Stewart, B. J., Ferdinand, J. R., Collord, G., Botting, R. A., Popescu, D.-M., Loudon, K. W., et al. (2018) · Science · doi:10.1126/science.aat1699 · Cited by 762
The adult human testis transcriptional cell atlas
Guo, J., Grow, E. J., Mlčochová, H., Maher, G. J., Lindskog, C., Nie, X., Guo, Y., Takei, Y., Yun, J., Cai, L., et al. (2018) · Cell Research · doi:10.1038/s41422-018-0099-2 · Cited by 715
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex
Zhong, S., Zhang, S., Fan, X., Wu, Q., Yan, L., Dong, J., Zhang, H., Li, L., Sun, L., Pan, N., et al. (2018) · Nature · doi:10.1038/nature25980 · Cited by 689
Self-citationMultilineage communication regulates human liver bud development from pluripotency
Camp, J. G., Sekine, K., Gerber, T., Loeffler-Wirth, H., Binder, H., Gac, M., Kanton, S., Kageyama, J., Damm, G., Seehofer, D., et al. (2017) · Nature · doi:10.1038/nature22796 · Cited by 621
Vodyanik, M. A., Bork, J. A., Thomson, J. A., & Slukvin, I. I. (2004) · Blood · doi:10.1182/blood-2004-04-1649 · Cited by 618
De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data
Grün, D., Muraro, M. J., Boisset, J.-C., Wiebrands, K., Lyubimova, A., Dharmadhikari, G., van den Born, M., van Es, J., Jansen, E., Clevers, H., et al. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.05.010 · Cited by 586
Single-Cell RNA-Seq Analysis Maps Development of Human Germline Cells and Gonadal Niche Interactions
Li, L., Dong, J., Yan, L., Yong, J., Liu, X., Hu, Y., Fan, X., Wu, X., Guo, H., Wang, X., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.03.007 · Cited by 558
Self-citationIntra-tumour diversification in colorectal cancer at the single-cell level
Roerink, S. F., Sasaki, N., Lee-Six, H., Young, M. D., Alexandrov, L. B., Behjati, S., Mitchell, T. J., Großmann, S., Lightfoot, H. W., Egan, D. A., et al. (2018) · Nature · doi:10.1038/s41586-018-0024-3 · Cited by 558
Simultaneous lineage tracing and cell-type identification using CRISPR–Cas9-induced genetic scars
Spanjaard, B., Hu, B., Mitic, N., Olivares-Chauvet, P., Janjuha, S., Ninov, N., & Junker, J. P. (2018) · Nature Biotechnology · doi:10.1038/nbt.4124 · Cited by 531
Tosches, M. A., Yamawaki, T. M., Naumann, R. K., Jacobi, A. A., Tushev, G., & Laurent, G. (2018) · Science · doi:10.1126/science.aar4237 · Cited by 506
Defining the three cell lineages of the human blastocyst by single-cell RNA-seq
Blakeley, P., Fogarty, N. M. E., del Valle, I., Wamaitha, S. E., Hu, T. X., Elder, K. T., Snell, P., Christie, L., Robson, P., & Niakan, K. K. (2015) · Development · doi:10.1242/dev.123547 · Cited by 484
Chu, L.-F., Leng, N., Zhang, J., Hou, Z., Mamott, D., Vereide, D. T., Choi, J., Kendziorski, C., Stewart, R., & Thomson, J. A. (2016) · Genome Biology · doi:10.1186/s13059-016-1033-x · Cited by 477
Self-citationWang, M., Liu, X., Chang, G., Chen, Y., An, G., Yan, L., Gao, S., Xu, Y., Cui, Y., Dong, J., et al. (2018) · Cell stem cell · doi:10.1016/j.stem.2018.08.007 · Cited by 477
Self-citationCell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics
Plass, M., Solana, J., Wolf, F. A., Ayoub, S., Misios, A., Glažar, P., Obermayer, B., Theis, F. J., Kocks, C., & Rajewsky, N. (2018) · Science · doi:10.1126/science.aaq1723 · Cited by 474
Cell type transcriptome atlas for the planarian Schmidtea mediterranea
Fincher, C. T., Wurtzel, O., de Hoog, T., Kravarik, K. M., & Reddien, P. W. (2018) · Science · doi:10.1126/science.aaq1736 · Cited by 436
Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity
Nguyen, Q., Pervolarakis, N., Blake, K., Ma, D., Davis, R. T., James, N., Phung, A. T., Willey, E., Kumar, R., Jabart, E., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04334-1 · Cited by 388
Crow, M., Paul, A., Ballouz, S., Huang, Z. J., & Gillis, J. (2018) · Nature Communications · doi:10.1038/s41467-018-03282-0 · Cited by 365
Revealing the Critical Regulators of Cell Identity in the Mouse Cell Atlas
(2018) · doi:10.1016/j.celrep.2018.10.045 · Cited by 341
Self-citationTsang, J. C. H., Vong, J. S. L., Ji, L., Poon, L. C., Jiang, P., Lui, K. O., Ni, Y., To, K. F., Cheng, Y. K. Y., Chiu, R. W. K., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710470114 · Cited by 331
Cnidarian Cell Type Diversity and Regulation Revealed by Whole-Organism Single-Cell RNA-Seq
Sebé-Pedrós, A., Saudemont, B., Chomsky, E., Plessier, F., Mailhé, M.-P., Renno, J., Loe-Mie, Y., Lifshitz, A., Mukamel, Z., Schmutz, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.019 · Cited by 330
Using networks to measure similarity between genes: association index selection
Bass, J. I. F., Diallo, A., Nelson, J., Soto, J. M., Myers, C. L., & Walhout, A. J. M. (2013) · Nature Methods · doi:10.1038/nmeth.2728 · Cited by 319
Guo, J., Grow, E. J., Yi, C., Mlčochová, H., Maher, G. J., Lindskog, C., Murphy, P. J., Wike, C. L., Carrell, D. T., Goriely, A., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.09.003 · Cited by 297
Single-cell analysis reveals the continuum of human lympho-myeloid progenitor cells
Karamitros, D., Stoilova, B., Aboukhalil, Z., Hamey, F., Reinisch, A., Samitsch, M., Quek, L. S., Otto, G., Repapi, E., Doondeea, J. B., et al. (2017) · Nature Immunology · doi:10.1038/s41590-017-0001-2 · Cited by 277
Gao, S., Yan, L., Wang, R., Li, J., Yong, J., Zhou, X., Wei, Y., Wu, X., Wang, X., Fan, X., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0105-4 · Cited by 208
Self-citationSLICE: determining cell differentiation and lineage based on single cell entropy
Guo, M., Bao, E. L., Wagner, M., Whitsett, J. A., & Xu, Y. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1278 · Cited by 178
Integrative single-cell analysis by transcriptional and epigenetic states in human adult brainPreprint
Lake, B. B., Chen, S., Sos, B. C., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/128520 · Cited by 122
Han, X., Chen, H., Huang, D., Chen, H., Fei, L., Cheng, C., Huang, H., Yuan, G., & Guo, G. (2018) · Genome biology · doi:10.1186/s13059-018-1426-0 · Cited by 122
Self-citationSchmidt, F., Gasparoni, N., Gasparoni, G., Gianmoena, K., Cadenas, C., Polansky, J. K., Ebert, P., Nordström, K. J. V., Barann, M., Sinha, A. N., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1061 · Cited by 118
Jc, P. (1972) · PubMed · Cited by 27
Die Wasserstoffionen-Verteilung zwischen Erythrocyten und Plasma von S�uglingen und Kindern
Riegel, K. P. (1969) · European Journal of Pediatrics · doi:10.1007/bf00476251 · Cited by 25
Proceedings: On the presence of dopamine in the mammalian spinal cord.
Commissiong, J. W., & Sedgwick, E. M. (1974) · PubMed · Cited by 12
Kakemi, K., Sezaki, H., Ogata, H., & NAGAI, C. (1972) · Chemical and Pharmaceutical Bulletin · doi:10.1248/cpb.20.1053 · Cited by 7
[Biochemical factors involved in atherogenesis in pulmonary tuberculosis].
Vs, K., Vg, K., & Mn, L. (1984) · PubMed · Cited by 4
Research works printed but not linked: 1
- Cao, J. et al. Comprehensive single-cell transcriptional profiling of a multicellular organism. Science 357, 661–667 (2017). · DOI · Paper page
Cited by
Sorted by citations
Dictionary learning for integrative, multimodal and scalable single-cell analysis
Hao, Y., Stuart, T., Kowalski, M. H., Choudhary, S., Hoffman, P., Hartman, A., Srivastava, A., Molla, G., Madad, S., Fernandez-Granda, C., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01767-y · Cited by 5,631
Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity
Cantuti-Castelvetri, L., Ojha, R., Pedro, L. D., Djannatian, M., Franz, J., Kuivanen, S., van der Meer, F., Kallio, K., Kaya, T., Anastasina, M., et al. (2020) · Science · doi:10.1126/science.abd2985 · Cited by 1,925
A molecular cell atlas of the human lung from single-cell RNA sequencing
Travaglini, K. J., Nabhan, A. N., Penland, L., Sinha, R., Gillich, A., Sit, R. V., Chang, S., Conley, S. D., Mori, Y., Seita, J., et al. (2020) · Nature · doi:10.1038/s41586-020-2922-4 · Cited by 1,730
A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells
Cheng, S., Li, Z., Gao, R., Xing, B., Gao, Y., Yang, Y., Qin, S., Zhang, L., Ouyang, H., Du, P., et al. (2021) · Cell · doi:10.1016/j.cell.2021.01.010 · Cited by 1,601
Self-citationSingle‐cell RNA sequencing technologies and applications: A brief overview
Jovic, D., Liang, X., Zeng, H., Lin, L., Xu, F., & Luo, Y. (2022) · Clinical and Translational Medicine · doi:10.1002/ctm2.694 · Cited by 1,379
Metadata
- Authors
- Han, X., Zhou, Z., Fei, L., Sun, H., Wang, R., Chen, Y., Chen, H., Wang, J., Tang, H., Ge, W., Zhou, Y., Ye, F., Jiang, M., Wu, J., Xiao, Y., Jia, X., Zhang, T., Ma, X., Zhang, Q., Bai, X., Lai, S., Yu, C., Zhu, L., Lin, R., Gao, Y., Wang, M., Wu, Y., Zhang, J., Zhan, R., Zhu, S., Hu, H., Wang, C., Chen, M., Huang, H., Liang, T., Chen, J., Wang, W., Zhang, D., & Guo, G.
- Affiliations
- First Affiliated Hospital Zhejiang University (CN)
- Zhejiang University (CN)
- Women's Hospital, School of Medicine, Zhejiang University (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Annoroad Gene Technology (China) (CN)
- Chinese Academy of Sciences (CN)
- Corresponding author
- Han, Xiaoping
- Guo, Guoji
- ORCID
- Han, Xiaoping
- Fei, Lijiang
- Sun, Huiyu
- Wang, Renying
- Chen, Yao
- Chen, Haide
- Wang, Jingjing
- Zhou, Yincong
- Ye, Fang
- Jiang, Mengmeng
- Wu, Junqing
- Xiao, Yanyu
- Zhang, Tingyue
- Ma, Xiaojie
- Zhang, Qi
- Bai, Xueli
- Lai, Shujing
- Yu, Chengxuan
- Zhu, Lijun
- Lin, Rui
- Gao, Yuchi
- Wang, Min
- Wu, Yiqing
- Zhang, Jianming
- Zhan, Renya
- Zhu, Saiyong
- Hu, Hailan
- Wang, Changchun
- Chen, Ming
- Huang, He
- Liang, Tingbo
- Chen, Jianghua
- Wang, Weilin
- Zhang, Dan
- Guo, Guoji
- Venue
- Nature
- Published
- 2020-03-25
- Volume
- 581
- Issue
- 7808
- Pages
- 303-309
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3013151148
- Cited by
- 1,087
- References
- 72
- Citations by year
- 2026: 91 · 2025: 163 · 2024: 159 · 2023: 186 · 2022: 203 · 2021: 198 · 2020: 86
- FWCI
- 56.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- single-cell atlas, human cell types, cellular heterogeneity, human organs, fetal development, stem/progenitor cells, cell identity
- MeSH terms
- Adult, Animals, Cell Differentiation, Cell Line, Cell Separation, Cells, China, Ethnicity, Fetus, Hematopoietic Stem Cells, Humans, Immunity, Islets of Langerhans, Organ Specificity, RNA, Messenger, Stochastic Processes, Databases, Factual, Sequence Analysis, RNA, Asian People, Mice, Induced Pluripotent Stem Cells, Embryoid Bodies, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
