A generic, cost-effective, and scalable cell lineage analysis platform
| Autor: | Haim Barr, Adam Spiro, Galit Cohen, Noa Chapal-Ilani, Ruth Halaban, Veronika Berman, Yael Fried, Tamir Biezuner, Lilach Milo, Rivka Adar, Ofir Raz, Ehud Shapiro, Shiran Amir, Elena Ainbinder |
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| Jazyk: | angličtina |
| Předmět: |
0301 basic medicine
Male Lineage (genetic) Sequencing data Microfluidics Method Genomics Computational biology Cell lineage Biology 03 medical and health sciences Cell Line Tumor Genetics Humans Cell Lineage Genetics (clinical) Cells Cultured Sequence Analysis DNA Human cell Middle Aged Pipeline (software) Tree (data structure) 030104 developmental biology Scalability Single-Cell Analysis Algorithms |
| Zdroj: | Genome Research |
| ISSN: | 1549-5469 1088-9051 |
| DOI: | 10.1101/gr.202903.115 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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