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Related Concept Videos

Combinatorial Gene Control02:33

Combinatorial Gene Control

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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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A two-way rectification method for identifying differentially expressed genes by maximizing the co-function

Bolin Chen1,2,3,4, Li Gao5, Xuequn Shang6,7

  • 1School of Computer Science, Northwestern Polytechnical University, 127 Youyi west road, Xi'an, 710072, China. blchen@nwpu.edu.cn.

BMC Genomics
|June 26, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to accurately identify differentially expressed genes (DEGs) and their functions, improving biological discovery by reducing false positives in gene expression analysis.

Keywords:
Differentially expressed genesFunctional related genesTwo-way rectification method

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Area of Science:

  • Genomics
  • Bioinformatics
  • Systems Biology

Background:

  • Identifying differentially expressed genes (DEGs) is crucial in biological studies.
  • Current methods struggle with small sample sizes and noisy gene expression data, leading to false positives.
  • Lowly expressed genes are particularly susceptible to detection biases in fold-change based analyses.

Purpose of the Study:

  • To develop a robust method for identifying key DEGs and their associated cellular functions.
  • To enhance the true positive rate of functional gene identification.
  • To address limitations in current statistical approaches for gene expression analysis.

Main Methods:

  • A two-way rectification approach was developed to identify DEGs.
  • The method maximizes co-function relationships between genes and cellular pathways.
  • An iterative strategy was used to refine the identification of DEGs and their functions.

Main Results:

  • The proposed method effectively identifies DEGs by linking them to enriched cellular pathways.
  • Functional analyses confirmed that identified DEGs are organized into functional modules.
  • Enriched pathways showed high significance with low p-values and substantial gene counts.

Conclusions:

  • An integrative rectification method was developed for simultaneous identification of DEGs and their functions.
  • Experimental validation confirmed the method's interpretability and feasibility.
  • The approach excels at identifying significant, functionally relevant genes.