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Cellular barcoding to decipher clonal dynamics in disease
Abstract
Cellular barcodes are distinct DNA sequences that enable one to track specific cells across time or space. Recent advances in our ability to detect natural or synthetic cellular barcodes, paired with single-cell readouts of cell state, have markedly increased our knowledge of clonal dynamics and genealogies of the cells that compose a variety of tissues and organs. These advances hold promise to redefine our view of human disease. Here, we provide an overview of cellular barcoding approaches, discuss applications to gain new insights into disease mechanisms, and provide an outlook on future applications. We discuss unanticipated insights gained through barcoding in studies of cancer and blood cell production and describe how barcoding can be applied to a growing array of medical fields, particularly with the increasing recognition of clonal contributions in human diseases.
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“Such methods require complex genetic engineering and therefore have limited applications, for example, in humans or during native ageing.”
From Clonal tracing with somatic epimutations reveals dynamics of blood ageing (2025) · cites this paper as [1]
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“Current approaches used to track stem cell clones through differentiation require genetic engineering1,2 or rely on sparse somatic DNA variants3,4, which limits their wide application.”
From Clonal tracing with somatic epimutations reveals dynamics of blood ageing (2025) · cites this paper as [1]
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The embryonic cell lineage of the nematode Caenorhabditis elegans
Sulston, J. E., Schierenberg, E., White, J. G., & Thomson, J. N. (1983) · Developmental Biology · doi:10.1016/0012-1606(83)90201-4 · Cited by 4,199
Clonal hematopoiesis and risk of atherosclerotic cardiovascular disease
Jaiswal, S., Natarajan, P., Silver, A. J., Gibson, C. J., Bick, A. G., Shvartz, E., McConkey, M., Gupta, N., Gabriel, S., Ardissino, D., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1701719 · Cited by 2,683
Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876
High burden and pervasive positive selection of somatic mutations in normal human skin
Martincorena, I., Roshan, A., Gerstung, M., Ellis, P., Van Loo, P., McLaren, S., Wedge, D. C., Fullam, A., Alexandrov, L. B., Tubio, J. M., et al. (2015) · Science · doi:10.1126/science.aaa6806 · Cited by 1,770
Mutational signature in colorectal cancer caused by genotoxic pks+ E. coli
Pleguezuelos-Manzano, C., Puschhof, J., Rosendahl Huber, A., van Hoeck, A., Wood, H. M., Nomburg, J., Gurjao, C., Manders, F., Dalmasso, G., Stege, P. B., et al. (2020) · Nature · doi:10.1038/s41586-020-2080-8 · Cited by 1,208
Clonal hematopoiesis in human aging and disease
Jaiswal, S., & Ebert, B. L. (2019) · Science · doi:10.1126/science.aan4673 · Cited by 1,156 · cited 3×
“For example, as individuals age, the hematopoietic system can be dominated by specific clones harboring somatic driver mutations that overlap with what is observed in blood cancers—a condition that is termed clonal hematopoiesis of indeterminate potential (CHIP) (72, 88).”
BackgroundLineage tracing on transcriptional landscapes links state to fate during differentiation
Weinreb, C., Rodriguez-Fraticelli, A., Camargo, F. D., & Klein, A. M. (2020) · Science · doi:10.1126/science.aaw3381 · Cited by 759
Inherited causes of clonal haematopoiesis in 97,691 whole genomes
Bick, A. G., Weinstock, J. S., Nandakumar, S. K., Fulco, C. P., Bao, E. L., Zekavat, S. M., Szeto, M. D., Liao, X., Leventhal, M. J., Nasser, J., et al. (2020) · Nature · doi:10.1038/s41586-020-2819-2 · Cited by 733
Self-citationClonal evolution of preleukemic hematopoietic stem cells precedes human acute myeloid leukemia
Jan, M., Snyder, T. M., Corces-Zimmerman, M. R., Vyas, P., Weissman, I. L., Quake, S. R., & Majeti, R. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004315 · Cited by 721
Regeneration of the entire human epidermis using transgenic stem cells
Hirsch, T., Rothoeft, T., Teig, N., Bauer, J. W., Pellegrini, G., De Rosa, L., Scaglione, D., Reichelt, J., Klausegger, A., Kneisz, D., et al. (2017) · Nature · doi:10.1038/nature24487 · Cited by 693
Population dynamics of normal human blood inferred from somatic mutations
Lee-Six, H., Øbro, N. F., Shepherd, M. S., Grossmann, S., Dawson, K., Belmonte, M., Osborne, R. J., Huntly, B. J. P., Martincorena, I., Anderson, E., et al. (2018) · Nature · doi:10.1038/s41586-018-0497-0 · Cited by 604
Clonal analysis of lineage fate in native haematopoiesis
Rodriguez-Fraticelli, A. E., Wolock, S. L., Weinreb, C. S., Panero, R., Patel, S. H., Jankovic, M., Sun, J., Calogero, R. A., Klein, A. M., & Camargo, F. D. (2018) · Nature · doi:10.1038/nature25168 · Cited by 596
Enge, M., Arda, H. E., Mignardi, M., Beausang, J., Bottino, R., Kim, S. K., & Quake, S. R. (2017) · Cell · doi:10.1016/j.cell.2017.09.004 · Cited by 568
The mutational landscape of normal human endometrial epithelium
Moore, L., Leongamornlert, D., Coorens, T. H. H., Sanders, M. A., Ellis, P., Dentro, S. C., Dawson, K. J., Butler, T., Rahbari, R., Mitchell, T. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2214-z · Cited by 499
Molecular recording of mammalian embryogenesis
Chan, M. M., Smith, Z. D., Grosswendt, S., Kretzmer, H., Norman, T. M., Adamson, B., Jost, M., Quinn, J. J., Yang, D., Jones, M. G., et al. (2019) · Nature · doi:10.1038/s41586-019-1184-5 · Cited by 364
Self-citationDevelopmental barcoding of whole mouse via homing CRISPR
Kalhor, R., Kalhor, K., Mejia, L., Leeper, K., Graveline, A., Mali, P., & Church, G. M. (2018) · Science · doi:10.1126/science.aat9804 · Cited by 363
Extensive heterogeneity in somatic mutation and selection in the human bladder
Lawson, A. R. J., Abascal, F., Coorens, T. H. H., Hooks, Y., O’Neill, L., Latimer, C., Raine, K., Sanders, M. A., Warren, A. Y., Mahbubani, K. T. A., et al. (2020) · Science · doi:10.1126/science.aba8347 · Cited by 311
Life histories of myeloproliferative neoplasms inferred from phylogenies
Williams, N., Lee, J., Mitchell, E., Moore, L., Baxter, E. J., Hewinson, J., Dawson, K. J., Menzies, A., Godfrey, A. L., Green, A. R., et al. (2022) · Nature · doi:10.1038/s41586-021-04312-6 · Cited by 285
Somatic Mutations Increase Hepatic Clonal Fitness and Regeneration in Chronic Liver Disease
Zhu, M., Lu, T., Jia, Y., Luo, X., Gopal, P., Li, L., Odewole, M., Renteria, V., Singal, A. G., Jang, Y., et al. (2019) · Cell · doi:10.1016/j.cell.2019.03.026 · Cited by 250
Van Egeren, D., Escabi, J., Nguyen, M., Liu, S., Reilly, C. R., Patel, S., Kamaz, B., Kalyva, M., DeAngelo, D. J., Galinsky, I., et al. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2021.02.001 · Cited by 206
Resistance to inflammation underlies enhanced fitness in clonal hematopoiesis
Avagyan, S., Henninger, J. E., Mannherz, W. P., Mistry, M., Yoon, J., Yang, S., Weber, M. C., Moore, J. L., & Zon, L. I. (2021) · Science · doi:10.1126/science.aba9304 · Cited by 192
Self-citationGenome Sequencing during a Patient’s Journey through Cancer
Nangalia, J., & Campbell, P. J. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1910138 · Cited by 66 · cited 1×
“Naturally occurring somatic mutations have been used for retrospective phylogenetic inference of the clonal dynamics in cancers (77, 78).”
Method
Research works printed but not linked: 100
- 10.1126/science.1227670 · DOI
- 10.1038/nature22993 · DOI
- 10.1038/nature13824 · DOI · Paper page
- 10.1016/j.stem.2020.07.018 · DOI · Paper page
- 10.1038/nature25455 · DOI
- 10.1016/j.immuni.2022.01.016 · DOI
- 10.1016/j.cell.2019.01.022 · DOI · Paper page
- 10.1038/s41587-020-0614-0 · DOI
- 10.1038/s41586-021-04206-7 · DOI
- 10.1126/science.aah6266 · DOI
- 10.1038/s41576-020-0223-2 · DOI · Paper page
- 10.1016/j.devcel.2020.10.021 · DOI
- S. S. Wu, J.-H. Lee, B.-K. Koo, Lineage tracing: Computational reconstruction goes beyond the limit of imaging. Mol. Cells 42, 104–112 (2019). 30764600
- 10.1016/j.crmeth.2021.100054 · DOI
- 10.1371/journal.pbio.1001906 · DOI
- 10.1038/s41588-019-0423-x · DOI
- 10.1056/NEJMoa1113205 · DOI · Paper page
- 10.1038/s41588-020-0592-7 · DOI
- 10.1158/0008-5472.CAN-15-1889 · DOI
- 10.1126/science.aaf2784 · DOI · Paper page
- 10.1038/s41586-021-03786-8 · DOI
- 10.1038/s41586-021-03548-6 · DOI · Paper page
- 10.1038/s41586-021-03790-y · DOI
- 10.1038/s41586-022-04786-y · DOI · Paper page
- 10.7554/eLife.45105 · DOI
- 10.1038/s41587-020-0645-6 · DOI · Paper page
- 10.1038/s41587-022-01210-8 · DOI
- 10.1016/0092-8674(86)90566-0 · DOI
- 10.1038/nbt.1977 · DOI
- 10.1073/pnas.1801480116 · DOI
- 10.1016/j.stem.2016.04.016 · DOI · Paper page
- 10.1038/nbt.4103 · DOI
- 10.1038/nature25969 · DOI
- 10.1038/nbt.4124 · DOI · Paper page
- 10.1038/nature12013 · DOI · Paper page
- 10.1038/s41586-021-03796-6 · DOI
- 10.1038/s41586-018-0744-4 · DOI
- 10.1016/j.cell.2010.09.016 · DOI · Paper page
- 10.1126/science.aaf7907 · DOI · Paper page
- 10.1038/s41467-020-16821-5 · DOI
- 10.1186/s13059-020-02000-8 · DOI
- 10.7554/eLife.40292 · DOI
- 10.1038/s41587-021-01111-2 · DOI
- 10.1038/s41587-022-01209-1 · DOI
- 10.1016/j.stem.2022.03.001 · DOI
- 10.1016/j.neuron.2020.09.023 · DOI
- 10.1126/science.abc1944 · DOI
- 10.1016/j.cell.2022.04.015 · DOI
- 10.1126/science.aap8992 · DOI
- 10.1038/s41576-018-0052-8 · DOI
- 10.1038/s41589-021-00769-8 · DOI
- 10.1038/s41586-022-04922-8 · DOI
- 10.1126/science.aax1971 · DOI
- 10.1038/s41586-021-03634-9 · DOI · Paper page
- 10.1126/science.abb9536 · DOI
- 10.1038/nature20777 · DOI · Paper page
- 10.1126/science.abb3099 · DOI
- 10.1073/pnas.93.24.14025 · DOI · Paper page
- 10.1038/ncb2963 · DOI
- 10.1038/s41586-019-1672-7 · DOI · Paper page
- 10.1007/s11605-011-1485-y · DOI
- 10.1002/ajmg.a.33295 · DOI
- 10.1038/s41568-020-00302-4 · DOI
- 10.1126/science.959840 · DOI · Paper page
- 10.1038/d41586-021-03606-z · DOI
- 10.1038/s41576-021-00431-y · DOI
- 10.1038/s41586-019-1907-7 · DOI · Paper page
- 10.1038/s41587-020-00795-2 · DOI
- 10.1038/nrg.2016.170 · DOI
- 10.1038/s41588-021-00927-7 · DOI · Paper page
- 10.1016/j.cell.2020.07.003 · DOI
- Y. Goyal I. P. Dardani G. T. Busch B. Emert D. Fingerman A. Kaur N. Jain I. A. Mellis J. Li K. Kiani M. E. Fane A. T. Weeraratna M. Herlyn A. Raj Pre-determined diversity in resistant fates emerges from homogenous cells after anti-cancer drug treatment. bioRxiv 471833 [Preprint] (2021). 10.1101/2021.12.08.471833 · DOI
- 10.1016/j.cell.2021.03.011 · DOI
- 10.1016/j.ccell.2021.05.005 · DOI
- 10.1056/NEJMra2101920 · DOI
- 10.1182/blood.2021013531 · DOI · Paper page
- 10.1084/jem.20211872 · DOI · Paper page
- 10.1038/s41591-021-01371-0 · DOI
- 10.1038/s41467-021-26138-6 · DOI
- 10.1038/s41586-020-1961-1 · DOI · Paper page
- 10.1038/ng.3221 · DOI
- 10.1038/s41586-019-1670-9 · DOI · Paper page
- 10.1158/2159-8290.CD-21-0245 · DOI · Paper page
- 10.1016/j.cell.2020.06.036 · DOI
- 10.1038/s41586-021-03965-7 · DOI · Paper page
- 10.1200/JCO.21.02286 · DOI · Paper page
- 10.1038/s41586-021-03836-1 · DOI · Paper page
- 10.1158/2159-8290.CD-21-1110 · DOI
- 10.1038/s41583-022-00572-x · DOI
- 10.1038/nature11045 · DOI
- 10.1016/j.cell.2020.08.030 · DOI · Paper page
- 10.1038/s41586-020-2786-7 · DOI
- 10.1056/NEJMra1413485 · DOI
- 10.1038/s41586-021-04390-6 · DOI
- 10.1038/s41576-020-0265-5 · DOI
- 10.1016/j.immuni.2021.03.012 · DOI
- 10.1056/NEJMoa2001265 · DOI
- 10.1038/s41586-021-03477-4 · DOI · Paper page
- 10.1172/JCI156060 · DOI · Paper page
- 10.1126/science.abh1106 · DOI
Cited by
Clonal tracing with somatic epimutations reveals dynamics of blood ageing
Scherer, M., Singh, I., Braun, M. M., Szu-Tu, C., Sanchez Sanchez, P., Lindenhofer, D., Jakobsen, N. A., Körber, V., Kardorff, M., Nitsch, L., et al. (2025) · Nature · doi:10.1038/s41586-025-09041-8 · Cited by 89
Metadata
- Authors
- Sankaran, V. G., Weissman, J. S., & Zon, L. I.
- Venue
- Science
- Published
- 2022-10-14
- Volume
- 378
- Issue
- 6616
- ISSN
- 0036-8075
- 1095-9203
- PMC
- PMC10111813
- Cited by
- 93
- References
- 22
- Language
- en
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