Enabling direct fate conversion with network biology

Research output: Contribution to journalArticle

Abstract

Current efforts in cellular disease modeling and regenerative medicine are limited by the paucity of cell types that can be generated in the laboratory. A new study introduces a computational framework, Mogrify, that uses network biology to predict combinations of transcription factors necessary for direct conversion between human cell types to ameliorate this issue.

Original languageEnglish (US)
Pages (from-to)226-227
Number of pages2
JournalNature Genetics
Volume48
Issue number3
DOIs
StatePublished - Mar 1 2016

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Regenerative Medicine
Transcription Factors

ASJC Scopus subject areas

  • Genetics

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Enabling direct fate conversion with network biology. / Cahan, Patrick.

In: Nature Genetics, Vol. 48, No. 3, 01.03.2016, p. 226-227.

Research output: Contribution to journalArticle

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