ArticlePloS one2013
Network theory inspired analysis of time-resolved expression data reveals key players guiding P. patens stem cell development.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 16 citations in OpenAlex.
- Cell-type resolved transcriptional network analysis of in vivo cellular senescence following injury.PLoS computational biology · 2026Article
- PEATmoss: A Gene Expression Atlas for Bryophytes.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Autophagy modulates growth and development in the mossFrontiers in plant science · 2022Article
- ABA-Induced Vegetative Diaspore Formation inFrontiers in plant science · 2019Article
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Authors and funding
7 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Transcription factors (TFs) often trigger developmental decisions, yet, their transcripts are often only moderately regulated and thus not easily detected by conventional statistics on expression data. Here we present a method that allows to determine such genes based on trajectory analysis of time-resolved transcriptome data. As a proof of principle, we have analysed apical stem cells of filamentous moss (P. patens) protonemata that develop from leaflets upon their detachment from the plant. By our novel correlation analysis of the post detachment transcriptome kinetics we predict five out of 1,058 TFs to be involved in the signaling leading to the establishment of pluripotency. Among the predicted regulators is the basic helix loop helix TF PpRSL1, which we show to be involved in the establishment of apical stem cells in P. patens. Our methodology is expected to aid analysis of key players of developmental decisions in complex plant and animal systems.
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Registered trials
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