A generic, cost-effective, and scalable cell lineage analysis platform.

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 Res

journal_title

Genome research

authors

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 E

doi

10.1101/gr.202903.115

subject

Has Abstract

pub_date

2016-11-01 00:00:00

pages

1588-1599

issue

11

eissn

1088-9051

issn

1549-5469

pii

gr.202903.115

journal_volume

26

pub_type

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