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CSTEA: a webserver for the Cell State Transition Expression Atlas.

Guanghui Zhu1, Hui Yang2, Xiao Chen1

  • 1Department of Computer Science and Technology, Tongji University, Shanghai 201804, China.

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|May 10, 2017
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Summary

This study introduces CSTEA, a webserver analyzing gene expression during cell state transitions. It helps researchers understand cell fate determination mechanisms using time-course data.

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Area of Science:

  • Developmental Biology
  • Systems Biology
  • Genomics

Background:

  • Cell state transition is crucial for multicellular organism development.
  • Understanding the molecular mechanisms of cell fate changes is essential.
  • Large-scale '-omics' data now enable detailed analysis of these transitions.

Purpose of the Study:

  • To present CSTEA (Cell State Transition Expression Atlas), a novel webserver.
  • To organize, analyze, and visualize time-course gene expression data for cell state transitions.
  • To enable better understanding of cell fate determination mechanisms.

Main Methods:

  • Development of a webserver (CSTEA) for analyzing time-series gene expression data.
  • Integration of data from cell differentiation, reprogramming, and trans-differentiation in humans and mice.
  • Utilizing gene expression atlases to define signatures for uncharacterized cell stages.

Main Results:

  • CSTEA provides a platform for analyzing dynamic gene expression during cell state transitions.
  • The tool facilitates the identification of key genes and pathways involved in cell fate determination.
  • Gene signatures for intermediate cell states can be defined.

Conclusions:

  • CSTEA is the first webserver specifically designed for time-series gene expression analysis of cell state transitions.
  • This resource aids both experimental and computational biologists in studying mammalian cell fate.
  • The platform enhances the investigation of molecular mechanisms underlying cell differentiation and reprogramming.