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Related Concept Videos

Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the addition of a...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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In-vitro Mutagenesis01:16

In-vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.

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A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior
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MiDReG: a method of mining developmentally regulated genes using Boolean implications.

Debashis Sahoo1, Jun Seita, Deepta Bhattacharya

  • 1Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.

Proceedings of the National Academy of Sciences of the United States of America
|March 17, 2010
PubMed
Summary
This summary is machine-generated.

We developed MiDReG, a novel method to identify developmentally regulated genes during cell differentiation without needing intermediate data. This approach successfully predicted key genes involved in B-cell development, highlighting its potential for discovering novel gene functions.

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Area of Science:

  • Computational Biology
  • Developmental Biology
  • Genomics

Background:

  • Identifying genes that change expression during cell differentiation is crucial for understanding development.
  • Existing methods often require extensive gene expression data from multiple intermediate stages.

Purpose of the Study:

  • To present a new computational method, MiDReG (mining developmentally regulated genes), for predicting genes involved in differentiation.
  • To validate MiDReG's efficacy using B-cell development as a model system.

Main Methods:

  • MiDReG utilizes gene expression patterns from initial and terminal differentiation stages.
  • It employs Boolean implications mined from microarray data and two seed conditions to identify relevant genes.
  • The method does not require gene expression data from intermediate developmental stages.

Main Results:

  • MiDReG predicted 62 genes expressed during B-cell differentiation from progenitor to germinal center stages.
  • qRT-PCR confirmed stable expression of 10 out of 14 tested genes.
  • Literature review indicated significant roles for predicted genes in B-cell differentiation and function (63.4% with defects).

Conclusions:

  • MiDReG is an effective tool for predicting functionally important genes in differentiation pathways.
  • The method successfully identified novel candidate genes for B-cell development research.
  • MiDReG offers a powerful approach for analyzing developmental gene regulation without intermediate data.