Inference of cellular level signaling networks using single-cell gene expression data in Caenorhabditis elegans reveals mechanisms of cell fate specification | Zendy

Xiaotai Huang | Zendy; Yuan Zhu | Zendy; Lai Hang Leanne Chan | Zendy; Zhongying Zhao | Zendy; Hong Yan | Zendy

Open Access

Inference of cellular level signaling networks using single-cell gene expression data in Caenorhabditis elegans reveals mechanisms of cell fate specification

Author(s) -

Xiaotai Huang,

Yuan Zhu,

Lai Hang Leanne Chan,

Zhongying Zhao,

Hong Yan

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw796

Subject(s) - caenorhabditis elegans , cell fate determination , biology , gene knockdown , rna interference , transcription factor , gene , gene regulatory network , cell signaling , model organism , computational biology , signal transduction , microbiology and biotechnology , gene expression , genetics , rna

Cell fate specification plays a key role to generate distinct cell types during metazoan development. However, most of the underlying signaling networks at cellular level are not well understood. Availability of time lapse single-cell gene expression data collected throughout Caenorhabditis elegans embryogenesis provides an excellent opportunity for investigating signaling networks underlying cell fate specification at systems, cellular and molecular levels.

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