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Shendure, J. A.

Publications and source records attributed to Shendure, J. A..

2 recordsLinked to original sources

Multiplex profiling of developmental enhancers with quantitative, single-cell expression reporters

The inability to scalably and precisely measure the activity of developmental enhancers in multicellular systems is a bottleneck in genomics. Here, we develop a dual RNA cassette that decouples the detection and quantification tasks inherent to multiplex single-cell reporter assays, resulting in accurate measurement of reporter expression over a >10,000-fold range of activity with a precision approaching the limit set by Poisson counting noise. Together with RNA barcode circularization, these single-cell quantitative expression reporters (scQers) provide high-contrast readouts analogous to classic in situ assays, but entirely from sequencing. Screening >200 enhancers in a multicellular in vitro model of early mammalian development, we identified numerous autonomous and cell-type-specific elements, including constituents of the Sox2 control region exclusively active in pluripotent cells, endoderm-specific enhancers, including near Foxa2 and Gata4, and a compact pleiotropic enhancer at the Lamc1 locus. scQers can be mobilized in developmental systems to quantitatively characterize native, perturbed, and synthetic enhancers at scale, with high sensitivity and at single-cell resolution.

genomics↗

High-throughput mapping of meiotic crossover and chromosome mis-segregation events in interspecific hybrid mice

We developed \"sci-LIANTI\", a high-throughput, high-coverage single-cell DNA sequencing method that combines single-cell combinatorial indexing (\"sci\") and linear amplification via transposon insertion (\"LIANTI\"). To characterize rare chromosome mis-segregation events in male meiosis and their relationship to the landscape of meiotic crossovers, we applied sci-LIANTI to profile the genomes of 6,928 sperm and sperm precursors from infertile, interspecific F1 male mice. From 1,663 haploid and 292 diploid cells, we mapped 24,672 crossover events and identified genomic and epigenomic contexts that influence crossover hotness. Surprisingly, we observed frequent mitotic chromosome segregation during meiosis. Moreover, segregation during meiosis in individual cells was highly biased towards either mitotic or meiotic events. We anticipate that sci-LIANTI can be applied to fully characterize various recombination landscapes, as well as to other fields requiring high-throughput, high-coverage single-cell genome sequencing.\n\nOne Sentence SummarySingle-cell genome sequencing maps crossover and non-meiotic chromosome segregation during spermatogenesis in interspecific hybrid mice.

genetics↗