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The eukaryotic promoter region is a segment of DNA located upstream of a gene. It contains an RNA polymerase binding site, a transcription start site, and several cis-regulatory sequences.  The proximal promoter region is located in the vicinity of the gene and has cis-regulatory sequences and the core promoter. The core promoter is the binding site for RNA polymerase and is usually located between -35 and +35 nucleotides from the transcription start site. The distal promoter regions are...
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Updated: Jul 10, 2025

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations
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Identifying promoter sequence architectures via a chunking-based algorithm using non-negative matrix factorisation.

Sarvesh Nikumbh1,2, Boris Lenhard1,2

  • 1Computational Regulatory Genomics, MRC London Institute of Medical Sciences, London, United Kingdom.

Plos Computational Biology
|November 20, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces seqArchR, a new computational method using non-negative matrix factorization (NMF) to classify gene promoters based on DNA motifs. It helps identify transcription start sites and gene functions, revealing dynamic promoter architecture changes over time.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Core promoters regulate gene transcription initiation by binding transcription complexes.
  • Distinct gene subsets possess core promoters with unique architectures and motifs influencing transcription start site (TSS) selection.
  • Classifying promoters is challenging due to architectural variability and motif overlap, necessitating advanced computational approaches.

Purpose of the Study:

  • To develop a novel computational method for classifying gene promoter sequences based on motif discovery at fixed distances from a reference point, such as the TSS.
  • To create user-friendly software, seqArchR, implementing this method for efficient promoter analysis.
  • To identify known and novel TSS-directing motifs and characterize associated gene functions, including dynamic changes in promoter architecture during development.

Main Methods:

  • Development of seqArchR, a software tool utilizing non-negative matrix factorization (NMF) for clustering promoter sequences.
  • Integration of seqArchR with experimental data, such as CAGE (Cap Analysis of Gene Expression), for motif identification.
  • Application of seqArchR to analyze developmental time courses to study stage-specific gene expression patterns.

Main Results:

  • seqArchR successfully clusters promoter sequences based on motifs located at near-fixed distances from the TSS.
  • The method efficiently identifies known TSS-directing motifs (e.g., TATA, DPE) and nucleosome positioning signals.
  • Novel lineage-specific motifs and their associated gene functions were discovered, alongside insights into changing promoter architectures during developmental stages.

Conclusions:

  • seqArchR provides a powerful and generalizable tool for genome-wide promoter classification and functional characterization.
  • The software enables the discovery of motifs at consistent distances from reference points, applicable even in small sequence subsets.
  • This approach facilitates understanding gene regulation dynamics and identifying functional elements within promoter regions.