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Related Concept Videos

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...
General Transcription Factors01:30

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Transcription Factors02:16

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
TGF - β Signaling Pathway01:16

TGF - β Signaling Pathway

The TGF-β signaling pathway regulates cell growth, differentiation, adhesion, motility, and development. TGF-β ligands that induce TGF-β signaling are synthesized in their latent form. Several proteases or cell surface receptors such as integrins act upon the latent form, releasing the active ligand. There are three types of mammalian TGF-βs: (TGF-β1, TGF-β2, and TGF-β3) that bind as homodimers or heterodimers to TGF-β receptors. The TGF-β receptors are of three kinds RI, RII, and RIII. The RI...

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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
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Published on: January 22, 2011

TiGER: a database for tissue-specific gene expression and regulation.

Xiong Liu1, Xueping Yu, Donald J Zack

  • 1Wilmer Institute, Johns Hopkins University School of Medicine, Maumenee Building 844, 600 N, Wolfe Street, Baltimore, MD 21287, USA. xliu09@gmail.com

BMC Bioinformatics
|June 11, 2008
PubMed
Summary
This summary is machine-generated.

TiGER is a new database for tissue-specific gene expression and regulation. It uses computational methods to analyze gene regulation in human tissues, providing valuable data for researchers.

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Area of Science:

  • Genomics
  • Systems Biology
  • Bioinformatics

Background:

  • Gene expression and regulation vary significantly across different human tissues.
  • Existing biological databases often lack comprehensive tissue-specific gene regulation data.

Purpose of the Study:

  • To develop and provide a publicly accessible database for large-scale analysis of tissue-specific gene regulation.
  • To consolidate diverse data types related to gene regulation in human tissues.

Main Methods:

  • Utilized computational methods for analyzing tissue-specific combinational gene regulation based on transcription factor binding sites.
  • Integrated data on gene expression profiles, combinatorial gene regulations, and cis-regulatory module (CRM) detections.

Main Results:

  • The TiGER database now contains expression profiles for 19,526 UniGene genes.
  • Includes combinatorial regulations for 7,341 transcription factor pairs and 6,232 putative CRMs for 2,130 RefSeq genes.
  • Provides a comprehensive resource for studying gene regulation across various human tissues.

Conclusions:

  • TiGER offers a valuable, large-scale dataset for tissue-specific gene expression and regulation.
  • This resource facilitates research into the complexities of human gene regulation in different tissues.