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Related Concept Videos

Hypoxia01:23

Hypoxia

1.8K
Hypoxia is a medical condition characterized by an inadequate oxygen supply to body tissues. It typically manifests as a bluish discoloration of the skin and mucosae, especially in fair-skinned individuals, when hemoglobin (Hb) saturation drops below 75%.
Types of Hypoxia
There are four primary types of hypoxia, each resulting from a different cause:
1. Anemic hypoxia: This type occurs due to insufficient oxygen delivery caused by a lack of red blood cells (RBCs) or RBCs with abnormal or...
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Related Experiment Video

Updated: Dec 31, 2025

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response
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Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response

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Meta-Analysis of Hypoxic Transcriptomes from Public Databases.

Hidemasa Bono1, Kiichi Hirota2

  • 1Database Center for Life Science (DBCLS), Joint Support-Center for Data Science Research, Research Organization of Information and Systems, 1111 Yata, Mishima, Shizuoka 411-8540, Japan.

Biomedicines
|January 16, 2020
PubMed
Summary
This summary is machine-generated.

This study analyzed RNA-seq data to understand cellular responses to low oxygen (hypoxia). It identified common hypoxia-responsive genes in humans and mice, offering a valuable resource for hypoxia research.

Keywords:
ChIP-seqRNA-seqhypoxiameta-analysispublic databasetranscriptome

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Last Updated: Dec 31, 2025

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Co-immunoprecipitation Assay Using Endogenous Nuclear Proteins from Cells Cultured Under Hypoxic Conditions
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Co-immunoprecipitation Assay Using Endogenous Nuclear Proteins from Cells Cultured Under Hypoxic Conditions

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Analysis of Global RNA Synthesis at the Single Cell Level following Hypoxia
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Area of Science:

  • Cellular Biology
  • Molecular Biology
  • Genomics

Background:

  • Hypoxia, or cellular oxygen insufficiency, is regulated by hypoxia-inducible factors (HIFs).
  • Understanding the cellular response to hypoxia is crucial for various biological processes and diseases.

Purpose of the Study:

  • To perform a data-driven meta-analysis of RNA-seq data to gain functional insights into the hypoxic response.
  • To identify common hypoxia-responsive genes between humans and mice.
  • To explore hypoxia-responsive pathways involving direct transcription factor binding by integrating transcriptome data with HIF ChIP-seq data.

Main Methods:

  • Manual curation of 128 human and 52 murine RNA-seq transcriptome pairs before and after hypoxic stress.
  • Classification of gene expression changes (upregulated, downregulated, unchanged) for each gene.
  • Meta-analysis of hypoxic transcriptomes and integration with public ChIP-seq data for HIF-1 and HIF-2.

Main Results:

  • Identification of common hypoxia-responsive genes between human and mouse transcriptomes.
  • Insights into hypoxia-responsive pathways driven by direct transcription factor binding of HIFs.
  • Demonstration of meta-analysis utility for candidate gene selection from diverse gene expression datasets.

Conclusions:

  • The study provides a valuable resource for the scientific community researching hypoxia.
  • Meta-analysis of public gene expression databases is a powerful approach for identifying candidate genes under various experimental conditions.