Abstract:
:Advances in single-cell genomics enable commensurate improvements in methods for uncovering lineage relations among individual cells. Current sequencing-based methods for cell lineage analysis depend on low-resolution bulk analysis or rely on extensive single-cell sequencing, which is not scalable and could be biased by functional dependencies. Here we show an integrated biochemical-computational platform for generic single-cell lineage analysis that is retrospective, cost-effective, and scalable. It consists of a biochemical-computational pipeline that inputs individual cells, produces targeted single-cell sequencing data, and uses it to generate a lineage tree of the input cells. We validated the platform by applying it to cells sampled from an ex vivo grown tree and analyzed its feasibility landscape by computer simulations. We conclude that the platform may serve as a generic tool for lineage analysis and thus pave the way toward large-scale human cell lineage discovery.
journal_name
Genome Resjournal_title
Genome researchauthors
Biezuner T,Spiro A,Raz O,Amir S,Milo L,Adar R,Chapal-Ilani N,Berman V,Fried Y,Ainbinder E,Cohen G,Barr HM,Halaban R,Shapiro Edoi
10.1101/gr.202903.115subject
Has Abstractpub_date
2016-11-01 00:00:00pages
1588-1599issue
11eissn
1088-9051issn
1549-5469pii
gr.202903.115journal_volume
26pub_type
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