PLX124667

GSE122093: Spatial clustering and common regulatory elements lead to TGF- induced concerted gene expression

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Cellular responses require temporally concerted transcriptional regulation of multiple genes. A single-input-module motif with one transcription factor regulating multiple target genes can generate the coordinated gene expression. In eukaryotic cells, the local environment of a gene characterized by histone modifications, DNA methylations, and the three-dimensional chromosome structure also regulates its transcriptional activity. To examine how the local environment and transcriptional factor regulation is coupled, we performed combined analysis of time-course RNA-seq data of TGF- treated MCF10A cells and corresponding epigenome and Hi-C data. We discovered, genes co-regulated by a common transcription factor has tendency to be close both in the linear DNA sequence and spatially. Specifically, we identified local spatial organization of over a hundred of AP1-regulated genes, and competition between hetero- and homo-dimeric AP1 fine-tunes the complex structure leading to differential expression of downstream genes sharing similar local environment. We suggest this spatial organization as a general regulation principle. SOURCE: ruoyan Li (ruoyan_li@pku.edu.cn) - Peking University

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team