ArticleGene regulation and systems biology2011
Application of structure equation modeling for inferring a serial transcriptional regulation in yeast.
Article in Gene regulation and systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 12 citations in OpenAlex.
- Inference of Regulatory System for TAG Biosynthesis inBioengineering (Basel, Switzerland) · 2020Article
- The Wright stuff: reimagining path analysis reveals novel components of the sex determination hierarchy in Drosophila melanogaster.BMC systems biology · 2015Article
- Investigating perturbed pathway modules from gene expression data via structural equation models.BMC bioinformatics · 2014Article
- Systems biology in physiology: the vasopressin signaling network in kidney.American journal of physiology. Cell physiology · 2012Review
- Network inference of pal-1 lineage-specific regulation in the C. elegans embryo by structural equation modeling.Bioinformation · 2012Article
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1 author at 1 institution in 1 country.
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Abstract
Revealing the gene regulatory systems among DNA and proteins in living cells is one of the central aims of systems biology. In this study, I used Structural Equation Modeling (SEM) in combination with stepwise factor analysis to infer the protein-DNA interactions for gene expression control from only gene expression profiles, in the absence of protein information. I applied my approach to infer the causalities within the well-studied serial transcriptional regulation composed of GAL-related genes in yeast. This allowed me to reveal the hierarchy of serial transcriptional regulation, including previously unclear protein-DNA interactions. The validity of the constructed model was demonstrated by comparing the results with previous reports describing the regulation of the transcription factors. Furthermore, the model revealed combinatory regulation by Gal4p and Gal80p. In this study, the target genes were divided into three types: those regulated by one factor and those controlled by a combination of two factors.
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