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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

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Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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Published on: July 29, 2022

Gene expression deconvolution in clinical samples.

Yingdong Zhao1, Richard Simon

  • 1Biometric Research Branch, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. zhaoy@nih.gov.

Genome Medicine
|January 8, 2011
PubMed
Summary
This summary is machine-generated.

Cell type heterogeneity in human tissues can obscure gene expression findings. Deconvolution methods, like cell-type-specific significance analysis of microarray (CSSAM), help analyze mixed cell populations for better biological insights.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Cell type heterogeneity significantly impacts gene expression profiling in human tissues.

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  • Existing in silico deconvolution methods are not widely adopted.
  • Understanding cell-type-specific expression is crucial for interpreting complex biological samples.