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Genome-wide single-cell analysis of recombination activity and de novo mutation rates in human sperm |
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| Authors: | Jianbin Wang H Christina Fan Barry Behr Stephen R Quake |
| Institution: | 1 Department of Bioengineering, Stanford University, Stanford, CA 94305, USA 2 Departments of Obstetrics and Gynecology, Stanford University, Stanford, CA 94305, USA 3 Department of Applied Physics, Stanford University, Stanford, CA 94305, USA 4 Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA |
| Abstract: | Meiotic recombination and de novo mutation are the two main contributions toward gamete genome diversity, and many questions remain about how an individual human's genome is edited by these two processes. Here, we describe a high-throughput method for single-cell whole-genome analysis that was used to measure the genomic diversity in one individual's gamete genomes. A microfluidic system was used for highly parallel sample processing and to minimize nonspecific amplification. High-density genotyping results from 91 single cells were used to create a personal recombination map, which was consistent with population-wide data at low resolution but revealed significant differences from pedigree data at higher resolution. We used the data to test for meiotic drive and found evidence for gene conversion. High-throughput sequencing on 31 single cells was used to measure the frequency of large-scale genome instability, and deeper sequencing of eight single cells revealed de novo mutation rates with distinct characteristics. |
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