The DOI matches its Crossref record; 173 of the 173 references it cites were found in a registry or an index.
Single-cell analysis tools for drug discovery and development
Open accessAbstract
The genetic, functional or compositional heterogeneity of healthy and diseased tissues presents major challenges in drug discovery and development. Such heterogeneity hinders the design of accurate disease models and can confound the interpretation of biomarker levels and of patient responses to specific therapies. The complex nature of virtually all tissues has motivated the development of tools for single-cell genomic, transcriptomic and multiplex proteomic analyses. Here, we review these tools and assess their advantages and limitations. Emerging applications of single cell analysis tools in drug discovery and development, particularly in the field of oncology, are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“Recent significant advances in single-cell technologies, especially the single-cell RNA sequencing (scRNA-seq) technology, have enabled the analysis of intercellular heterogeneity at a very fine resolution8,9 and helped us to have many breakthroughs in understanding disease mechanisms10, such as breast cancer11, liver cancer12 and COVID-1913.”
From ASGARD is a single-cell guided pipeline to aid repurposing of drugs (2023) · cites this paper as [8]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Towbin, H., Staehelin, T., & Gordon, J. (1979) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.76.9.4350 · Cited by 53,218
Raza, H., John, A., & Nemmar, A. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350087 · Cited by 47,311
Microenvironmental regulation of tumor progression and metastasis
Quail, D. F., & Joyce, J. A. (2013) · Nature Medicine · doi:10.1038/nm.3394 · Cited by 7,994
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
The Cancer Genome Atlas Research Network (2008) · Nature · doi:10.1038/nature07385 · Cited by 7,735
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
Nowell, P. C. (1976) · Science · doi:10.1126/science.959840 · Cited by 6,471
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Patel, A. P., Tirosh, I., Trombetta, J. J., Shalek, A. K., Gillespie, S. M., Wakimoto, H., Cahill, D. P., Nahed, B. V., Curry, W. T., Martuza, R. L., et al. (2014) · Science · doi:10.1126/science.1254257 · Cited by 5,063
The Somatic Genomic Landscape of Glioblastoma
Brennan, C. W., Verhaak, R. G. W., McKenna, A., Campos, B., Noushmehr, H., Salama, S. R., Zheng, S., Chakravarty, D., Sanborn, J. Z., Berman, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.09.034 · Cited by 5,016
Neoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137
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
Enhancement of Antitumor Immunity by CTLA-4 Blockade
Leach, D. R., Krummel, M. F., & Allison, J. P. (1996) · Science · doi:10.1126/science.271.5256.1734 · Cited by 3,955
Phenotypic Analysis of Antigen-Specific T Lymphocytes
Altman, J. D., Moss, P. A. H., Goulder, P. J. R., Barouch, D. H., McHeyzer-Williams, M. G., Bell, J. I., McMichael, A. J., & Davis, M. M. (1996) · Science · doi:10.1126/science.274.5284.94 · Cited by 3,544 · cited 2×
“To understand immune responses to cancer, it is of significant interest to develop approaches that can match the TCR genes with their specific (or cognate) antigen, which usually result from nonsynonymous somatic mutations specific for each cancer 105,133,135–138, 140, 141 .”
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
Iwai, Y., Ishida, M., Tanaka, Y., Okazaki, T., Honjo, T., & Minato, N. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.192461099 · Cited by 3,261
Discovery and saturation analysis of cancer genes across 21 tumour types
Lawrence, M. S., Stojanov, P., Mermel, C. H., Robinson, J. T., Garraway, L. A., Golub, T. R., Meyerson, M., Gabriel, S. B., Lander, E. S., & Getz, G. (2014) · Nature · doi:10.1038/nature12912 · Cited by 3,096
Spatially resolved, highly multiplexed RNA profiling in single cells
Chen, K. H., Boettiger, A. N., Moffitt, J. R., Wang, S., & Zhuang, X. (2015) · Science · doi:10.1126/science.aaa6090 · Cited by 2,969
Bacterial Persistence as a Phenotypic Switch
Balaban, N. Q., Merrin, J., Chait, R., Kowalik, L., & Leibler, S. (2004) · Science · doi:10.1126/science.1099390 · Cited by 2,952
Influence of tumour micro-environment heterogeneity on therapeutic response
Junttila, M. R., & de Sauvage, F. J. (2013) · Nature · doi:10.1038/nature12626 · Cited by 2,694
Tumour evolution inferred by single-cell sequencing
Navin, N., Kendall, J., Troge, J., Andrews, P., Rodgers, L., McIndoo, J., Cook, K., Stepansky, A., Levy, D., Esposito, D., et al. (2011) · Nature · doi:10.1038/nature09807 · Cited by 2,598
Adoptive cell transfer as personalized immunotherapy for human cancer
Rosenberg, S. A., & Restifo, N. P. (2015) · Science · doi:10.1126/science.aaa4967 · Cited by 2,545
Tumour heterogeneity and cancer cell plasticity
Meacham, C. E., & Morrison, S. J. (2013) · Nature · doi:10.1038/nature12624 · Cited by 2,526
Stochasticity in gene expression: from theories to phenotypes
Kærn, M., Elston, T. C., Blake, W. J., & Collins, J. J. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1615 · Cited by 2,318
Bendall, S. C., Simonds, E. F., Qiu, P., Amir, E.-A. D., Krutzik, P. O., Finck, R., Bruggner, R. V., Melamed, R., Trejo, A., Ornatsky, O. I., et al. (2011) · Science · doi:10.1126/science.1198704 · Cited by 2,279
Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies
Schloss, P. D., Gevers, D., & Westcott, S. L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027310 · Cited by 2,112
Cancer immunotherapy via dendritic cells
Palucka, K., & Banchereau, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3258 · Cited by 2,109
Couzin-Frankel, J. (2013) · Science · doi:10.1126/science.342.6165.1432 · Cited by 2,051
Targeted capture and massively parallel sequencing of 12 human exomes
Ng, S. B., Turner, E. H., Robertson, P. D., Flygare, S. D., Bigham, A. W., Lee, C., Shaffer, T., Wong, M., Bhattacharjee, A., Eichler, E. E., et al. (2009) · Nature · doi:10.1038/nature08250 · Cited by 2,030
Bias caused by template annealing in the amplification of mixtures of 16S rRNA genes by PCR
Suzuki, M. T., & Giovannoni, S. (1996) · Applied and Environmental Microbiology · doi:10.1128/aem.62.2.625-630.1996 · Cited by 2,021
Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types
Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Elefant, N., Paul, F., Zaretsky, I., Mildner, A., Cohen, N., Jung, S., Tanay, A., et al. (2014) · Science · doi:10.1126/science.1247651 · Cited by 1,795
Models, mechanisms and clinical evidence for cancer dormancy
Aguirre‐Ghiso, J. A. (2007) · Nature reviews. Cancer · doi:10.1038/nrc2256 · Cited by 1,756
Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics
Sottoriva, A., Spiteri, I., Piccirillo, S. G. M., Touloumis, A., Collins, V. P., Marioni, J. C., Curtis, C., Watts, C., & Tavaré, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219747110 · Cited by 1,737
Stability and Diversity of Ecosystems
Ives, A. R., & Carpenter, S. R. (2007) · Science · doi:10.1126/science.1133258 · Cited by 1,665
Adoptive cell transfer: a clinical path to effective cancer immunotherapy
Rosenberg, S. A., Restifo, N. P., Yang, J. C.-H., Morgan, R. A., & Dudley, M. E. (2008) · Nature reviews. Cancer · doi:10.1038/nrc2355 · Cited by 1,654
Amir, E.-A. D., Davis, K. L., Tadmor, M. D., Simonds, E. F., Levine, J. H., Bendall, S. C., Shenfeld, D. K., Krishnaswamy, S., Nolan, G. P., & Pe'er, D. (2013) · Nature Biotechnology · doi:10.1038/nbt.2594 · Cited by 1,550
Bias in template-to-product ratios in multitemplate PCR
Polz, M. F., & Cavanaugh, C. M. (1998) · Applied and Environmental Microbiology · doi:10.1128/aem.64.10.3724-3730.1998 · Cited by 1,484
Stochastic State Transitions Give Rise to Phenotypic Equilibrium in Populations of Cancer Cells
Gupta, P. B., Fillmore, C. M., Jiang, G., Shapira, S. D., Tao, K., Kuperwasser, C., & Lander, E. S. (2011) · Cell · doi:10.1016/j.cell.2011.07.026 · Cited by 1,475
Single-cell analysis and sorting using droplet-based microfluidics
Mažutis, L., Gilbert, J., Ung, W. L., Weitz, D. A., Griffiths, A. D., & Heyman, J. A. (2013) · Nature Protocols · doi:10.1038/nprot.2013.046 · Cited by 1,387
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
Selected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions
Picotti, P., & Aebersold, R. (2012) · Nature Methods · doi:10.1038/nmeth.2015 · Cited by 1,302
Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting
Matsushita, H., Vesely, M. D., Koboldt, D. C., Rickert, C. G., Uppaluri, R., Magrini, V. J., Arthur, C. D., White, J. M., Chen, Y.-S., Shea, L. K., et al. (2012) · Nature · doi:10.1038/nature10755 · Cited by 1,285
Target-enrichment strategies for next-generation sequencing
Mamanova, L., Coffey, A. J., Scott, C. E., Kozarewa, I., Turner, E. H., Kumar, A., Howard, E., Shendure, J., & Turner, D. (2010) · Nature Methods · doi:10.1038/nmeth.1419 · Cited by 1,258
Tumour heterogeneity in the clinic
Bedard, P. L., Hansen, A. R., Ratain, M. J., & Siu, L. L. (2013) · Nature · doi:10.1038/nature12627 · Cited by 1,231
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
Quantitative single-cell RNA-seq with unique molecular identifiers
Islam, S., Zeisel, A., Joost, S., La Manno, G., Zajac, P., Kasper, M., Lönnerberg, P., & Linnarsson, S. (2014) · Nature Methods · doi:10.1038/nmeth.2772 · Cited by 1,183
Single-cell sequencing-based technologies will revolutionize whole-organism science
Shapiro, E., Biezuner, T., & Linnarsson, S. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3542 · Cited by 1,177
Tumour antigens recognized by T lymphocytes: at the core of cancer immunotherapy
Coulie, P. G., den Eynde, B. J. V., van der Bruggen, P., & Boon, T. (2014) · Nature reviews. Cancer · doi:10.1038/nrc3670 · Cited by 1,176
Genome-Wide Detection of Single-Nucleotide and Copy-Number Variations of a Single Human Cell
Zong, C., Lu, S., Chapman, A. R., & Xie, X. S. (2012) · Science · doi:10.1126/science.1229164 · Cited by 1,154
Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients
Lee, P. P., Yee, C., Savage, P. A., Fong, L. H., Brockstedt, D. G., Weber, J. S., Johnson, D. L., Swetter, S. M., Thompson, J. A., Greenberg, P. D., et al. (1999) · Nature Medicine · doi:10.1038/9525 · Cited by 1,117
Multiplexed ion beam imaging of human breast tumors
Angelo, M., Bendall, S. C., Finck, R., Hale, M. B., Hitzman, C., Borowsky, A. D., Levenson, R. M., Lowe, J. B., Liu, S. D., Zhao, S., et al. (2014) · Nature Medicine · doi:10.1038/nm.3488 · Cited by 1,108
Robbins, P. F., Lu, Y., El‐Gamil, M., Li, Y. F., Gross, C. A., Gartner, J. J., Lin, J., Teer, J. K., Cliften, P. F., Tycksen, E., et al. (2013) · Nature Medicine · doi:10.1038/nm.3161 · Cited by 1,083
Proteomics by Mass Spectrometry: Approaches, Advances, and Applications
Yates, J. R., Ruse, C. I., & Nakorchevsky, A. (2009) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-061008-124934 · Cited by 1,078
Dean, F. B., Nelson, J. R., Giesler, T. L., & Lasken, R. S. (2001) · Genome Research · doi:10.1101/gr.180501 · Cited by 1,070
Droplet microfluidic technology for single-cell high-throughput screening
Brouzes, E., Medkova, M., Savenelli, N., Marran, D., Twardowski, M., Hutchison, J. B., Rothberg, J., Link, D., Perrimon, N., & Samuels, M. (2009) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0903542106 · Cited by 1,064
Czerkinsky, C. C., Nilsson, L., Nygren, H., Ouchterlony, Ö., & Tarkowski, A. (1983) · Journal of Immunological Methods · doi:10.1016/0022-1759(83)90308-3 · Cited by 1,056
Droplet microfluidics for high-throughput biological assays
Guo, M., Rotem, A., Heyman, J. A., & Weitz, D. A. (2012) · Lab on a Chip · doi:10.1039/c2lc21147e · Cited by 1,044
Seventeen-colour flow cytometry: unravelling the immune system
Perfetto, S. P., Chattopadhyay, P. K., & Roederer, M. (2004) · Nature Reviews Immunology · doi:10.1038/nri1416 · Cited by 1,019
Counting absolute numbers of molecules using unique molecular identifiers
Kivioja, T., Vähärautio, A., Karlsson, K., Bonke, M., Enge, M., Linnarsson, S., & Taipale, J. (2012) · Nature Methods · doi:10.1038/nmeth.1778 · Cited by 1,010
Single-cell in situ RNA profiling by sequential hybridization
Lubeck, E., Coskun, A. F., Zhiyentayev, T., Ahmad, M., & Cai, L. (2014) · Nature Methods · doi:10.1038/nmeth.2892 · Cited by 985
Accounting for technical noise in single-cell RNA-seq experiments
Brennecke, P., Anders, S., Kim, J. K., Kołodziejczyk, A. A., Zhang, X., Proserpio, V., Baying, B., Benes, V., Teichmann, S. A., Marioni, J. C., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2645 · Cited by 979
Analysis of gene expression in single live neurons.
Eberwine, J. H., Yeh, H., Miyashiro, K., Cao, Y., Nair, S., Finnell, R. H., Zettel, M. F., & Coleman, P. D. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.7.3010 · Cited by 947
Single-Cell Phenotyping within Transparent Intact Tissue through Whole-Body Clearing
Yang, B., Treweek, J. B., Kulkarni, R. P., Deverman, B. E., Chen, C., Lubeck, E., Shah, S., Cai, L., & Gradinaru, V. (2014) · Cell · doi:10.1016/j.cell.2014.07.017 · Cited by 937
Pollen, A. A., Nowakowski, T. J., Shuga, J., Wang, X., Leyrat, A. A., Lui, J. H., Li, N., Szpankowski, L., Fowler, B., Chen, P., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2967 · Cited by 920
Whole genome amplification from a single cell: implications for genetic analysis.
Zhang, L., Cui, X., Schmitt, K., Hubert, R., Navidi, W. C., & Arnheim, N. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5847 · Cited by 900
The single cell gel electrophoresis assay (comet assay): A European review
McKelvey‐Martin, V. J., Green, M. H. L., Schmezer, P., Pool-Zobel, B. L., Méo, M. D., & Collins, A. R. (1993) · Mutation research. Fundamental and molecular mechanisms of mutagenesis · doi:10.1016/0027-5107(93)90207-v · Cited by 893
Quiescent haematopoietic stem cells are activated by IFN-γ in response to chronic infection
Baldridge, M. T., King, K. Y., Boles, N. C., Weksberg, D. C., & Goodell, M. A. (2010) · Nature · doi:10.1038/nature09135 · Cited by 877
Toll-like Receptors on Hematopoietic Progenitor Cells Stimulate Innate Immune System Replenishment
Nagai, Y., Garrett, K. P., Ohta, S., Bahrun, U., Kouro, T., Akira, S., Takatsu, K., & Kincade, P. W. (2006) · Immunity · doi:10.1016/j.immuni.2006.04.008 · Cited by 833
Immunological method for mapping genes on Drosophila polytene chromosomes.
Langer-Safer, P. R., Levine, M., & Ward, D. C. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.14.4381 · Cited by 810
Amann, R., & Fuchs, B. M. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1888 · Cited by 804
Patch Clamp Techniques for Studying Ionic Channels in Excitable Membranes
Sakmann, B. J., & Neher, E. (1984) · Annual Review of Physiology · doi:10.1146/annurev.ph.46.030184.002323 · Cited by 799
van Rooij, N., van Buuren, M. M., Philips, D., Velds, A., Toebes, M., Heemskerk, B., van Dijk, L. J. A., Behjati, S., Hilkmann, H., el Atmioui, D., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.47.7521 · Cited by 798
Single-cell NF-κB dynamics reveal digital activation and analogue information processing
Tay, S., Hughey, J., Lee, T. K., Tomasz Lipniacki, B., Quake, S. R., & Covert, M. W. (2010) · Nature · doi:10.1038/nature09145 · Cited by 783
Validation of noise models for single-cell transcriptomics
Grün, D., Kester, L., & van Oudenaarden, A. (2014) · Nature Methods · doi:10.1038/nmeth.2930 · Cited by 721
Single-cell dissection of transcriptional heterogeneity in human colon tumors
Dalerba, P. D., Tomer Kalisky, C., Sahoo, D., Rajendran, P. S., Rothenberg, M. E., Leyrat, A. A., Sim, S., Okamoto, J., Johnston, D. M., Qian, D., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.2038 · Cited by 704
Quantitative assessment of single-cell RNA-sequencing methods
Wu, A. R., Neff, N. F., Kalisky, T., Dalerba, P., Treutlein, B., Rothenberg, M. E., Mburu, F. M., Mantalas, G. L., Sim, S., Clarke, M. F., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2694 · Cited by 696
Genome-wide in situ exon capture for selective resequencing
Hodges, E. C., Xuan, Z., Balija, V. S., Kramer, M., Molla, M. N., Smith, S. W., Middle, C. M., Rodesch, M. J., Albert, T. J., Hannon, G. J., et al. (2007) · Nature Genetics · doi:10.1038/ng.2007.42 · Cited by 690
Targeted Therapy Resistance Mediated by Dynamic Regulation of Extrachromosomal Mutant EGFR DNA
Nathanson, D. A., Gini, B., Mottahedeh, J., Visnyei, K., Koga, T., Gomez, G. G., Eskin, A., Hwang, K., Wang, J., Masui, K., et al. (2013) · Science · doi:10.1126/science.1241328 · Cited by 689
Self-citationSingle Cell Profiling of Potentiated Phospho-Protein Networks in Cancer Cells
Irish, J. M., Hovland, R., Krutzik, P. O., Perez, O. D., Bruserud, Ø., Gjertsen, B. T., & Nolan, G. P. (2004) · Cell · doi:10.1016/j.cell.2004.06.028 · Cited by 683
Single-Cell Exome Sequencing Reveals Single-Nucleotide Mutation Characteristics of a Kidney Tumor
Xu, X., Hou, Y., Yin, X., Bao, L., Tang, A., Song, L., Li, F., Tsang, S., Wu, K., Wu, H., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.025 · Cited by 667
Epidermal growth factor receptor and Ink4a/Arf
Bachoo, R. M., Maher, E. A., Ligon, K. L., Sharpless, N. E., Chan, S., You, M. J., Tang, Y., DeFrances, J., Stover, E. H., Weissleder, R., et al. (2002) · Cancer Cell · doi:10.1016/s1535-6108(02)00046-6 · Cited by 659
Losick, R. M., & Desplan, C. (2008) · Science · doi:10.1126/science.1147888 · Cited by 627
Acinas, S. G., Sarma-Rupavtarm, R., Klepac-Ceraj, V., & Polz, M. F. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8966-8969.2005 · Cited by 625
Paths to stemness: building the ultimate antitumour T cell
Gattinoni, L., Klebanoff, C. A., & Restifo, N. P. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3322 · Cited by 616
Herzenberg, L. A., Parks, D. R., Sahaf, B., Perez, O. D., Roederer, M., & Herzenberg, L. A. (2002) · Clinical Chemistry · doi:10.1093/clinchem/48.10.1819 · Cited by 603
Inflammatory modulation of HSCs: viewing the HSC as a foundation for the immune response
King, K. Y., & Goodell, M. A. (2011) · Nature reviews. Immunology · doi:10.1038/nri3062 · Cited by 576
Phenotypic analysis of antigen-specific T lymphocytes. Science. 1996. 274: 94-96.
Altman, J. D., Moss, P. A. H., Goulder, P., Barouch, D. H., McHeyzer‐Williams, M. G., Bell, J. I., McMichael, A. J., & Davis, M. M. (2011) · PubMed · Cited by 572
Inda, M.-D.-M., Bonavia, R., Mukasa, A., Narita, Y., Sah, D. W. Y., VandenBerg, S. R., Brennan, C., Johns, T. G., Bachoo, R. M., Hadwiger, P., et al. (2010) · Genes & Development · doi:10.1101/gad.1890510 · Cited by 552
Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators
Bodenmiller, B., Zunder, E. R., Finck, R., Chen, T. J., Savig, E. S., Bruggner, R. V., Simonds, E. F., Bendall, S. C., Sachs, K., Krutzik, P. O., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2317 · Cited by 546
Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer
Lohr, J. G., Adalsteinsson, V. A., Cibulskis, K., Choudhury, A. D., Rosenberg, M. W., Cruz‐Gordillo, P., Francis, J. M., Zhang, C.-Z., Shalek, A. K., Satija, R., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2892 · Cited by 542
Single-Cell Exome Sequencing and Monoclonal Evolution of a JAK2-Negative Myeloproliferative Neoplasm
Hou, Y., Song, L., Zhu, P., Zhang, B., Tao, Y., Xu, X., Li, F., Wu, K., Liang, J., Shao, D., et al. (2012) · Cell · doi:10.1016/j.cell.2012.02.028 · Cited by 541
Powell, A. A., Talasaz, A. H., Zhang, H., Coram, M., Reddy, A., Deng, G. Y., Telli, M. L., Advani, R. H., Carlson, R. W., Mollick, J. A., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033788 · Cited by 539
Linking T-cell receptor sequence to functional phenotype at the single-cell level
Han, A. S., Glanville, J., Hansmann, L., & Davis, M. M. (2014) · Nature Biotechnology · doi:10.1038/nbt.2938 · Cited by 534
Ting, D. T., Wittner, B. S., Ligorio, M., Jordan, N. V., Shah, A. M., Miyamoto, D. T., Aceto, N., Bersani, F., Brannigan, B. W., Xega, K., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.08.029 · Cited by 530
Expression of tumour-specific antigens underlies cancer immunoediting
DuPage, M. J. P., Mazumdar, C., Schmidt, L., Cheung, A. F., & Jacks, T. (2012) · Nature · doi:10.1038/nature10803 · Cited by 529
Genome-wide Single-Cell Analysis of Recombination Activity and De Novo Mutation Rates in Human Sperm
Wang, J., Fan, H. C., Behr, B. R., & Quake, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.06.030 · Cited by 521
Cellular Heterogeneity and Molecular Evolution in Cancer
Almendro, V., Marusyk, A., & Polyák, K. (2012) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-020712-163923 · Cited by 502
Rosa, S. C. D., Herzenberg, L. A., Herzenberg, L. A., & Roederer, M. (2001) · Nature Medicine · doi:10.1038/84701 · Cited by 465
Automated identification of stratifying signatures in cellular subpopulations
Bruggner, R. V., Bodenmiller, B., Dill, D. L., Tibshirani, R. J., & Nolan, G. P. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408792111 · Cited by 457
Combinatorial labeling of single cells for gene expression cytometry
Fan, H. C., Fu, G. K., & Fodor, S. P. A. (2015) · Science · doi:10.1126/science.1258367 · Cited by 455
Ni, X., Zhuo, M., Su, Z., Duan, J., Gao, Y., Wang, Z., Zong, C., Bai, H., Chapman, A. R., Zhao, J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320659110 · Cited by 454
A microengraving method for rapid selection of single cells producing antigen-specific antibodies
Love, J. C., Ronan, J. L., Grotenbreg, G. M., van der Veen, A. G., & Ploegh, H. L. (2006) · Nature Biotechnology · doi:10.1038/nbt1210 · Cited by 453
Ma, C., Fan, R., Ahmad, H., Shi, Q., Comin-Anduix, B., Chodon, T., Koya, R. C., Liu, C.-C., Kwong, G. A., Radu, C. G., et al. (2011) · Nature Medicine · doi:10.1038/nm.2375 · Cited by 441
Self-citationHughes, A. J., Spelke, D. P., Xu, Z., Kang, C., Schaffer, D. V., & Herr, A. E. (2014) · Nature Methods · doi:10.1038/nmeth.2992 · Cited by 426
Epitope Landscape in Breast and Colorectal Cancer
Segal, N. H., Parsons, D. W., Peggs, K. S., Velculescu, V., Kinzler, K. W., Vogelstein, B., & Allison, J. P. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-3095 · Cited by 416
Bengtsson, M., Ståhlberg, A., Rorsman, P., & Kubista, M. (2005) · Genome Research · doi:10.1101/gr.3820805 · Cited by 392
Heterogeneity of epidermal growth factor receptor signalling networks in glioblastoma
Furnari, F. B., Cloughesy, T. F., Cavenee, W. K., & Mischel, P. S. (2015) · Nature reviews. Cancer · doi:10.1038/nrc3918 · Cited by 389
Self-citationInflammatory signals regulate hematopoietic stem cells
Baldridge, M. T., King, K. Y., & Goodell, M. A. (2011) · Trends in Immunology · doi:10.1016/j.it.2010.12.003 · Cited by 351
Huebner, A., Bratton, D., Whyte, G., Yang, M., deMello, A. J., Abell, C., & Hollfelder, F. (2008) · Lab on a Chip · doi:10.1039/b813709a · Cited by 348
Zhao, J. L., Ma, C., O’Connell, R. M., Mehta, A., DiLoreto, R., Heath, J. R., & Baltimore, D. (2014) · Cell stem cell · doi:10.1016/j.stem.2014.01.007 · Cited by 339
Self-citationPolyfunctional responses by human T cells result from sequential release of cytokines
Han, Q., Bagheri, N., Bradshaw, E. M., Hafler, D. A., Lauffenburger, D. A., & Love, J. C. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117194109 · Cited by 329
Generation of peptide–MHC class I complexes through UV-mediated ligand exchange
Rodenko, B., Toebes, M., Hadrup, S. R., van Esch, W. J. E., Molenaar, A. M., Schumacher, T. N., & Ovaa, H. (2006) · Nature Protocols · doi:10.1038/nprot.2006.121 · Cited by 320
Single-cell proteomic chip for profiling intracellular signaling pathways in single tumor cells
Shi, Q., Qin, L., Wei, W., Geng, F., Fan, R., Shin, Y. S., Guo, D., Hood, L., Mischel, P. S., & Heath, J. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110865109 · Cited by 319
Self-citationA Quantitative Comparison of Single-Cell Whole Genome Amplification Methods
de Bourcy, C. F. A., Vlaminck, I. D., Kanbar, J. N., Wang, J., Gawad, C., & Quake, S. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105585 · Cited by 312
Gill, B. J. A., Pisapia, D. J., Malone, H. R., Goldstein, H. E., Lei, L., Sonabend, A. M., Yun, J. J., Samanamud, J. L., Sims, J. S., Banu, M. A., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405839111 · Cited by 303
EGFR Variant Heterogeneity in Glioblastoma Resolved through Single-Nucleus Sequencing
Francis, J. M., Zhang, C.-Z., Maire, C. L., Jung, J., Manzo, V. E., Adalsteinsson, V. A., Homer, H., Haidar, S., Blumenstiel, B., Pedamallu, C. S., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-13-0879 · Cited by 287
Lu, Y., Xue, Q., Eisele, M. R., Sulistijo, E. S., Brower, K. K., Han, L. G., Amir, E.-A. D., Pe’er, D., Miller‐Jensen, K., & Fan, R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1416756112 · Cited by 267
Single-Cell Transcriptome Analyses Reveal Signals to Activate Dormant Neural Stem Cells
Luo, Y., Coskun, V., Liang, A., Yu, J., Cheng, L., Ge, W., Shi, Z., Zhang, K., Li, C., Cui, Y., et al. (2015) · Cell · doi:10.1016/j.cell.2015.04.001 · Cited by 264
Lineage relationship of effector and memory T cells
Restifo, N. P., & Gattinoni, L. (2013) · Current Opinion in Immunology · doi:10.1016/j.coi.2013.09.003 · Cited by 245
Life history trade-offs in cancer evolution
Aktipis, A., Boddy, A. M., Gatenby, R. A., Brown, J. S., & Maley, C. C. (2013) · Nature reviews. Cancer · doi:10.1038/nrc3606 · Cited by 237
Julius, M. H., Masuda, T., & Herzenberg, L. A. (1972) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.69.7.1934 · Cited by 232
NanoFlares for the detection, isolation, and culture of live tumor cells from human blood
Halo, T. L., McMahon, K. M., Angeloni, N. L., Xu, Y., Wang, W., Chinen, A. B., Malin, D., Strekalova, E., Cryns, V. L., Cheng, C., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418637111 · Cited by 222
Noise Facilitates Transcriptional Control under Dynamic Inputs
Kellogg, R., & Tay, S. (2015) · Cell · doi:10.1016/j.cell.2015.01.013 · Cited by 208
Semenza, G. L. (2012) · Oncogene · doi:10.1038/onc.2012.578 · Cited by 208
Paired analysis of TCRα and TCRβ chains at the single-cell level in mice
Dash, P., McClaren, J. L., Oguin, T. H., Rothwell, W. T., Todd, B., Morris, M. Y., Becksfort, J. B., Reynolds, C., Brown, S. A., Doherty, P. C., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci44752 · Cited by 199
High-Throughput Secretomic Analysis of Single Cells to Assess Functional Cellular Heterogeneity
Lu, Y., Chen, J. J. F., Mu, L., Xue, Q., Wu, Y., Wu, P.-H., Li, J., Vortmeyer, A. O., Miller‐Jensen, K., Wirtz, D., et al. (2013) · Analytical Chemistry · doi:10.1021/ac400082e · Cited by 176
Computational Approaches for Analyzing Information Flow in Biological Networks
Kholodenko, B. Ν., Yaffe, M. B., & Kölch, W. (2012) · Science Signaling · doi:10.1126/scisignal.2002961 · Cited by 176
Microfluidic droplets: new integrated workflows for biological experiments
Kintses, B., van Vliet, L., Devenish, S. R. A., & Hollfelder, F. (2010) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2010.08.013 · Cited by 168
Dago, A. E., Stepansky, A., Carlsson, A., Luttgen, M. S., Kendall, J., Baslan, T., Kolatkar, A. R., Wigler, M. H., Bethel, K. J., Gross, M. E., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101777 · Cited by 153
Bakker, A., Hoppes, R., Linnemann, C., Toebes, M., Rodenko, B., Berkers, C. R., Hadrup, S. R., van Esch, W. J. E., Heemskerk, M. H. M., Ovaa, H., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709717105 · Cited by 151
Porichis, F., Hart, M. G., Griesbeck, M., Everett, H. L., Hassan, M., Baxter, A. E., Lindqvist, M., Miller, S. M., Soghoian, D. Z., Kavanagh, D. G., et al. (2014) · Nature Communications · doi:10.1038/ncomms6641 · Cited by 150
Ma, C., Cheung, A. F., Chodon, T., Koya, R. C., Wu, Z., Ng, C., Avramis, E. V., Cochran, A. J., Witte, O. N., Baltimore, D., et al. (2013) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0383 · Cited by 145
Self-citationNonequilibrium Statistical Physics of Small Systems
(2013) · Wiley eBooks · doi:10.1002/9783527658701 · Cited by 141
Marcon, E., Jain, H., Bhattacharya, A., Guo, H., Phanse, S., Pu, S., Byram, G., Collins, B. C., Dowdell, E., Fenner, M., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3472 · Cited by 128
Uncoupling T‐cell expansion from effector differentiation in cell‐based immunotherapy
Crompton, J. G., Sukumar, M., & Restifo, N. P. (2013) · Immunological Reviews · doi:10.1111/imr.12135 · Cited by 123
High-throughput microfluidic single-cell analysis pipeline for studies of signaling dynamics
Kellogg, R., Gómez-Sjöberg, R., Leyrat, A. A., & Tay, S. (2014) · Nature Protocols · doi:10.1038/nprot.2014.120 · Cited by 120
Analysis of the Paired TCR α- and β-chains of Single Human T Cells
Kim, S.-M., Bhonsle, L., Besgen, P., Nickel, J., Backes, A., Held, K., Vollmer, S., Dornmair, K., & Prinz, J. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037338 · Cited by 107
Fu, G. K., Xu, W., Wilhelmy, J., Mindrinos, M. N., Davis, R. W., Xiao, W., & Fodor, S. P. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323732111 · Cited by 105
Dissecting genomic diversity, one cell at a time
Blainey, P. C., & Quake, S. R. (2013) · Nature Methods · doi:10.1038/nmeth.2783 · Cited by 104
Yamanaka, Y. J., Berger, C. T., Sips, M., Cheney, P. C., Alter, G., & Love, J. C. (2012) · Integrative Biology · doi:10.1039/c2ib20167d · Cited by 103
Liadi, I., Singh, H., Romain, G., Rey-Villamizar, N., Merouane, A., Adolacion, J. R. T., Kebriaei, P., Huls, H. M., Qiu, P., Roysam, B., et al. (2015) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-14-0195 · Cited by 102
Romain, G., Senyukov, V., Rey-Villamizar, N., Merouane, A., Kelton, W., Liadi, I., Mahendra, A., Charab, W., Georgiou, G., Roysam, B., et al. (2014) · Blood · doi:10.1182/blood-2014-04-569061 · Cited by 98
High sensitivity of cancer exome-based CD8 T cell neo-antigen identification
van Buuren, M. M., Calis, J. J. A., & Schumacher, T. N. (2014) · OncoImmunology · doi:10.4161/onci.28836 · Cited by 93
Chemical Methods for the Simultaneous Quantitation of Metabolites and Proteins from Single Cells
Xue, M., Wei, W., Su, Y., Kim, J.-W., Shin, Y. S., Mai, W. X., Nathanson, D. A., & Heath, J. R. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b00944 · Cited by 93
Self-citationModular Nucleic Acid Assembled p/MHC Microarrays for Multiplexed Sorting of Antigen-Specific T Cells
Kwong, G. A., Radu, C. G., Hwang, K., Shu, C. J., Ma, C., Koya, R. C., Comin-Anduix, B., Hadrup, S. R., Bailey, R. C., Witte, O. N., et al. (2009) · Journal of the American Chemical Society · doi:10.1021/ja9006707 · Cited by 88
Self-citationThe Future of Cancer Therapy: Selecting Patients Likely to Respond to PD1/L1 Blockade
Ribas, A., & Tumeh, P. C. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-0933 · Cited by 88
Self-citationHan, L., Zi, X., Garmire, L. X., Wu, Y., Weissman, S. M., Pan, X., & Fan, R. (2014) · Scientific Reports · doi:10.1038/srep06485 · Cited by 83
Wang, J., Tham, D., Wei, W., Shin, Y. S., Ma, C., Ahmad, H. M. N., Shi, Q., Yu, J.-K., Levine, R. D., & Heath, J. R. (2012) · Nano Letters · doi:10.1021/nl302748q · Cited by 79
Self-citationQuantitative PCR Analysis of DNA, RNAs, and Proteins in the Same Single Cell
Ståhlberg, A., Thomsen, C., Ruff, D., & Åman, P. (2012) · Clinical Chemistry · doi:10.1373/clinchem.2012.191445 · Cited by 78
Yu, J., Zhou, J., Sutherland, A., Wei, W., Shin, Y. S., Xue, M., & Heath, J. R. (2014) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-071213-020323 · Cited by 72
Self-citationThe Scientific Drunk and the Lamppost: Massive Sequencing Efforts in Cancer Discovery and Treatment
Yaffe, M. B. (2013) · Science Signaling · doi:10.1126/scisignal.2003684 · Cited by 67
Tumor Heterogeneity Confounds and Illuminates: A case for Darwinian tumor evolution
Polyák, K. (2014) · Nature Medicine · doi:10.1038/nm.3518 · Cited by 64
Weingeist, D. M., Ge, J., Wood, D. K., Mutamba, J. T., Huang, Q., Rowland, E. A., Yaffe, M. B., Floyd, S., & Engelward, B. P. (2013) · Cell Cycle · doi:10.4161/cc.23880 · Cited by 64
Hypoxia induces a phase transition within a kinase signaling network in cancer cells
Wei, W., Shi, Q., Remacle, F., Qin, L., Shackelford, D. B., Shin, Y. S., Mischel, P. S., Levine, R. D., & Heath, J. R. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303060110 · Cited by 63
Self-citationTorres, A. J., Contento, R. L., Gordo, S., Wucherpfennig, K. W., & Love, J. C. (2012) · Lab on a Chip · doi:10.1039/c2lc40869d · Cited by 60
Protein Signaling Networks from Single Cell Fluctuations and Information Theory Profiling
Shin, Y. S., Remacle, F., Fan, R., Hwang, K., Wei, W., Ahmad, H. M. N., Levine, R. D., & Heath, J. R. (2011) · Biophysical Journal · doi:10.1016/j.bpj.2011.04.025 · Cited by 58
Self-citationA microchip platform for interrogating tumor–macrophage paracrine signaling at the single-cell level
Elitaş, M., Brower, K. K., Lu, Y., Chen, J. J. F., & Fan, R. (2014) · Lab on a Chip · doi:10.1039/c4lc00676c · Cited by 57
EGFR and EGFRvIII in Glioblastoma: Partners in Crime
Zadeh, G. M., Bhat, K., & Aldape, K. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.09.017 · Cited by 56
Kravchenko‐Balasha, N., Wang, J., Remacle, F., Levine, R. D., & Heath, J. R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404462111 · Cited by 54
Self-citationNew directions in cellular therapy of cancer: a summary of the summit on cellular therapy for cancer
Stroncek, D. F., Berger, C., Cheever, M. A., Childs, R. W., Dudley, M. E., Flynn, P., Gattinoni, L., Heath, J. R., Kalos, M. D., Marincola, F. M., et al. (2012) · Journal of Translational Medicine · doi:10.1186/1479-5876-10-48 · Cited by 52
Self-citationShin, Y. S., Ahmad, H. M. N., Shi, Q., Kim, H., Pascal, T. A., Fan, R., Goddard, W. A., & Heath, J. R. (2010) · ChemPhysChem · doi:10.1002/cphc.201000528 · Cited by 52
Self-citationCancer treatment: The killer within
Ledford, H. K. (2014) · Nature · doi:10.1038/508024a · Cited by 48
Real-time tracking, retrieval and gene expression analysis of migrating human T cells
Mehling, M., Frank, T., Albayrak, C., & Tay, S. (2014) · Lab on a Chip · doi:10.1039/c4lc01038h · Cited by 39
UV-Induced Ligand Exchange in MHC Class I Protein Crystals
Celie, P. H. N., Toebes, M., Rodenko, B., Ovaa, H., Anastassis Perrakis, A., & Schumacher, T. N. (2009) · Journal of the American Chemical Society · doi:10.1021/ja9037559 · Cited by 35
Lin, L., Ma, C., Wei, B., Aziz, N., Rajalingam, R., Yusung, S. A., Erlich, H. A., Trachtenberg, E., Targan, S. R., McGovern, D. P. B., et al. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1400093 · Cited by 33
Self-citationA robust method for production of MHC tetramers with small molecule fluorophores
Ramachandiran, V., Grigoriev, V. G., Lan, L., Ravkov, E. V., Mertens, S. A., & Altman, J. D. (2006) · Journal of Immunological Methods · doi:10.1016/j.jim.2006.08.014 · Cited by 31
Fu, G. K., Wilhelmy, J., Stern, D., Fan, H. C., & Fodor, S. P. A. (2014) · Analytical Chemistry · doi:10.1021/ac500459p · Cited by 28
Bordon, Y. (2014) · Nature reviews. Cancer · doi:10.1038/nrc3880 · Cited by 24
Hematopoietic Stem and Progenitor Cells and the Inflammatory Response
Jaiswal, S., & Weissman, I. L. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04930.x · Cited by 19
HSPCs Get Their Motors Running for Asymmetric Fate Choice
Zheng, Y., & Geiger, H. (2014) · Cell stem cell · doi:10.1016/j.stem.2013.12.002 · Cited by 18
Detection and isolation of auto-reactive human antibodies from primary B cells
Sendra, V. G., Lie, A., Romain, G., Agarwal, S. K., & Varadarajan, N. (2013) · Methods · doi:10.1016/j.ymeth.2013.06.018 · Cited by 17
Mazumder, A., Tummler, K., Bathe, M., & Samson, L. D. (2012) · Molecular and Cellular Biology · doi:10.1128/mcb.01020-12 · Cited by 13
Flagged first, then by citations
Cited by
Sorted by citations
Engineering and Design of Chimeric Antigen Receptors
Guedan, S., Calderón, H., Posey, A. D., & Maus, M. V. (2018) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2018.12.009 · Cited by 471
DNA methylation: An epigenetic mark of cellular memory
Kim, M., & Costello, J. (2017) · Experimental & Molecular Medicine · doi:10.1038/emm.2017.10 · Cited by 450
Paving the way to single-molecule protein sequencing
Restrepo-Pérez, L., Joo, C., & Dekker, C. (2018) · Nature Nanotechnology · doi:10.1038/s41565-018-0236-6 · Cited by 398
Rubin, A. J., Parker, K. R., Satpathy, A. T., Qi, Y., Wu, B., Ong, A. J., Mumbach, M. R., Ji, A. L., Kim, D. S., Cho, S. W., et al. (2019) · Cell · doi:10.1016/j.cell.2018.11.022 · Cited by 314
Utilizing graph machine learning within drug discovery and development
Gaudelet, T., Day, B., Jamasb, A. R., Soman, J., Regep, C., Liu, G., Hayter, J. B. R., Vickers, R., Roberts, C., Tang, J., et al. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab159 · Cited by 313
Metadata
- Authors
- Heath, J. R., Ribas, A., & Mischel, P. S.
- Affiliations
- California Institute of Technology (US)
- University of California, Los Angeles (US)
- University of California San Diego (US)
- Corresponding author
- Heath, James R.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2015-12-16
- Volume
- 15
- Issue
- 3
- Pages
- 204-216
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- PMC
- PMC4883669
- OpenAlex
- W2248179576
- Cited by
- 473
- References
- 173
- Citations by year
- 2026: 13 · 2025: 28 · 2024: 30 · 2023: 51 · 2022: 39 · 2021: 43 · 2020: 56 · 2019: 61 · 2018: 75 · 2017: 56 · 2016: 20
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Drug Discovery (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (5u54ca119347-03)
- National Cancer Institute (5U54 CA119347, U54-CA119347, U54CA199090, R01CA170689)
- National Institute of Neurological Disorders and Stroke (R01NS073831)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- single-cell analysis, drug discovery, drug development, cellular heterogeneity, single-cell genomics, single-cell transcriptomics, single-cell proteomics, multiplex proteomics, biomarkers, disease models
- MeSH terms
- Animals, Humans, Genomics, Proteomics, Drug Discovery, 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