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Single-cell analysis of human embryos reveals diverse patterns of aneuploidy and mosaicism
Published version of a preprint
Abstract
Less than half of human zygotes survive to birth, primarily due to aneuploidies of meiotic or mitotic origin. Mitotic errors generate chromosomal mosaicism, defined by multiple cell lineages with distinct chromosome complements. The incidence and impacts of mosaicism in human embryos remain controversial, with most previous studies based on bulk DNA assays or comparisons of multiple biopsies of few embryonic cells. Single-cell genomic data provide an opportunity to quantify mosaicism on an embryo-wide scale. To this end, we extended an approach to infer aneuploidies based on dosage-associated changes in gene expression by integrating signatures of allelic imbalance. We applied this method to published single-cell RNA sequencing data from 74 human embryos, spanning the morula to blastocyst stages. Our analysis revealed widespread mosaic aneuploidies, with 59 of 74 (80%) embryos harboring at least one putative aneuploid cell (1% FDR). By clustering copy number calls, we reconstructed histories of chromosome segregation, inferring that 55 (74%) embryos possessed mitotic aneuploidies and 23 (31%) embryos possessed meiotic aneuploidies. We found no significant enrichment of aneuploid cells in the trophectoderm compared to the inner cell mass, although we do detect such enrichment in data from later postimplantation stages. Finally, we observed that aneuploid cells up-regulate immune response genes and down-regulate genes involved in proliferation, metabolism, and protein processing, consistent with stress responses documented in other stages and systems. Together, our work provides a high-resolution view of aneuploidy in preimplantation embryos, and supports the conclusion that low-level mosaicism is a common feature of early human development.
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“Recently, even aneuploidy and mosaicism were found to be frequent occurrences in early-stage human embryos (Starostik, Sosina, and McCoy 2020).”
From Initial heritable genome editing: mapping a responsible pathway from basic research to the clinic (2023) · cites this paper as Starostik, Sosina, and McCoy 2020
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Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314
A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications
Haque, A., Engel, J., Teichmann, S. A., & Lönnberg, T. (2017) · Genome Medicine · doi:10.1186/s13073-017-0467-4 · Cited by 1,071
Kempf, T., Eden, M., Strelau, J., Naguib, M., Willenbockel, C., Tongers, J., Heineke, J., Kotlarz, D., Xu, J., Molkentin, J. D., et al. (2006) · Circulation Research · doi:10.1161/01.res.0000202805.73038.48 · Cited by 651
Tools and best practices for data processing in allelic expression analysis.
Castel, S. E., Levy-Moonshine, A., Mohammadi, P., Banks, E., & Lappalainen, T. (2015) · Genome Biology · doi:10.1186/s13059-015-0762-6 · Cited by 375 · cited 3×
“Using embryo-level heterozygous SNPs and corresponding single-cell alignments as input, allelic read counts were then computed at every heterozygous SNP in every cell using the ASEReadCounter tool of GATK.”
MethodInfluentialSCnorm: robust normalization of single-cell RNA-seq data
Bacher, R., Chu, L.-F., Leng, N., Gasch, A. P., Thomson, J. A., Stewart, R. M., Newton, M., & Kendziorski, C. (2017) · Nature Methods · doi:10.1038/nmeth.4263 · Cited by 282
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Research works printed but not linked: 54
- 10.1111/j.2517-6161.1995.tb02031.x · DOI · Paper page
- Bogomolov M , Peterson CB , Benjamini Y , Sabatti C . 2017. Testing hypotheses on a tree: new error rates and controlling strategies. arXiv :1705.07529v2 [stat.ME]. · arXiv
- 10.1038/ncomms11165 · DOI
- 10.1093/humrep/dew250 · DOI
- 10.1371/journal.pgen.1008414 · DOI
- 10.1016/j.rbmo.2019.06.012 · DOI
- 10.1007/s00441-015-2305-6 · DOI
- 10.1101/gr.239830.118 · DOI
- 10.1101/gr.200527.115 · DOI
- 10.1093/bioinformatics/bts635 · DOI · Paper page
- 10.1186/1471-2164-15-139 · DOI
- 10.1101/gr.228080.117 · DOI
- 10.1016/j.tig.2005.02.012 · DOI
- 10.1186/s12958-017-0251-8 · DOI
- 10.1093/humrep/deg060 · DOI
- 10.1056/NEJMc1500421 · DOI
- 10.1186/s12864-017-4253-x · DOI
- 10.1101/gr.252981.119 · DOI · Paper page
- 10.1038/35066065 · DOI
- 10.1242/dev.145318 · DOI
- 10.1038/s41598-018-20614-8 · DOI
- 10.1101/060012 · DOI
- 10.1007/s10815-017-1060-x · DOI
- 10.1093/bioinformatics/btp352 · DOI · Paper page
- 10.1038/s41598-018-33279-0 · DOI
- 10.1038/sigtrans.2017.23 · DOI · Paper page
- 10.1038/s41586-018-0321-x · DOI · Paper page
- 10.1038/nmeth.3370 · DOI · Paper page
- 10.1016/j.tig.2017.04.001 · DOI · Paper page
- 10.1126/science.aaa3337 · DOI
- 10.1371/journal.pgen.1005601 · DOI
- 10.1101/gr.107524.110 · DOI · Paper page
- 10.1093/humrep/dez242 · DOI
- 10.1016/j.ajhg.2018.10.007 · DOI
- 10.1038/ng.3306 · DOI
- 10.1038/s41598-017-09693-1 · DOI
- 10.1016/j.cell.2016.03.023 · DOI · Paper page
- 10.1016/j.fertnstert.2018.06.002 · DOI
- 10.1016/j.fertnstert.2019.01.023 · DOI
- 10.1016/j.devcel.2017.05.022 · DOI
- 10.1073/pnas.1209227109 · DOI
- 10.1002/stem.1509 · DOI
- 10.1038/nmeth.4612 · DOI · Paper page
- 10.1242/dev.169672 · DOI
- 10.1371/journal.pone.0195905 · DOI
- 10.1038/s41586-019-1187-2 · DOI
- 10.1093/humrep/dex286 · DOI
- 10.1038/nm.1924 · DOI · Paper page
- 10.1530/REP-17-0569 · DOI
- 10.1038/ncomms8601 · DOI
- 10.1038/s41598-019-39111-7 · DOI
- 10.1038/s41591-019-0620-2 · DOI
- 10.1038/s41586-019-1500-0 · DOI
- 10.1038/s41588-017-0007-6 · DOI
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Initial heritable genome editing: mapping a responsible pathway from basic research to the clinic
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Metadata
- Authors
- Starostik, M. R., Sosina, O. A., & McCoy, R. C.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2020-06
- Volume
- 30
- Issue
- 6
- Pages
- 814-825
- ISSN
- 1088-9051
- 1549-5469
- PMC
- PMC7370883
- Cited by
- 155
- References
- 8
- Language
- en
- Funders
- National Institutes of Health (R35GM133747)
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