ArticleNucleic acids research2017
CSTEA: a webserver for the Cell State Transition Expression Atlas.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
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- Mechanical strain treatment improves nuclear transfer reprogramming efficiency by enhancing chromatin accessibility.Stem cell reports · 2023Article
- Identification of driver genes based on gene mutational effects and network centrality.BMC bioinformatics · 2021Article
- Predicting Stage-Specific Recurrent Aberrations From Somatic Copy Number Dataset.Frontiers in genetics · 2020Article
- EmExplorer: a database for exploring time activation of gene expression in mammalian embryos.Open biology · 2019Article
- Predicting stage-specific cancer related genes and their dynamic modules by integrating multiple datasets.BMC bioinformatics · 2019Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell state transition is one of the fundamental events in the development of multicellular organisms, and the transition trajectory path has recently attracted much attention. With the accumulation of large amounts of "-omics" data, it is becoming possible to get insights into the molecule mechanisms underlying the transitions between cell states. Here, we present CSTEA (Cell State Transition Expression Atlas), a webserver that organizes, analyzes and visualizes the time-course gene expression data during cell differentiation, cellular reprogramming and trans-differentiation in human and mouse. In particular, CSTEA defines gene signatures for uncharacterized stages during cell state transitions, thereby enabling both experimental and computational biologists to better understand the mechanisms of cell fate determination in mammals. To our best knowledge, CSTEA is the first webserver dedicated to the analysis of time-series gene expression data during cell state transitions. CSTEA is freely available at http://comp-sysbio.org/cstea/.
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