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Related Concept Videos

RNA Polymerase II Accessory Proteins02:36

RNA Polymerase II Accessory Proteins

Proteins that regulate transcription can do so either via direct contact with RNA Polymerase or through indirect interactions facilitated by adaptors, mediators, histone-modifying proteins, and nucleosome remodelers. Direct interactions to activate transcription is seen in bacteria as well as in some eukaryotic genes. In these cases, upstream activation sequences are adjacent to the promoters, and the activator proteins interact directly with the transcriptional machinery. For example, in...
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The histone proteins in the nucleosomes are post-translationally modified (PTM) to increase or decrease access to DNA. The commonly observed PTMs are methylation, acetylation, phosphorylation, and ubiquitination of lysine amino acids in the histone H3 tail region. These histone modifications have specific meaning for the cell. Hence, they are called "histone code". The protein complex involved in histone modification is termed as "reader-writer" complex.
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The eukaryotic promoter region is a segment of DNA located upstream of a gene. It contains an RNA polymerase binding site, a transcription start site, and several cis-regulatory sequences.  The proximal promoter region is located in the vicinity of the gene and has cis-regulatory sequences and the core promoter. The core promoter is the binding site for RNA polymerase and is usually located between -35 and +35 nucleotides from the transcription start site. The distal promoter regions are...
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Chromatin Position Affects Gene Expression

Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
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Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines
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Published on: June 2, 2018

Characterization of enhancer function from genome-wide analyses.

Glenn A Maston1, Stephen G Landt, Michael Snyder

  • 1Howard Hughes Medical Institute and Programs in Gene Function and Expression and Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA. glenn.a.maston@athenadiagnostics.com

Annual Review of Genomics and Human Genetics
|June 19, 2012
PubMed
Summary
This summary is machine-generated.

Genome-wide studies reveal that transcription factor binding is regulated and not always functional. Integrating diverse genomic data is key to understanding complex gene regulation and enhancer functions.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Epigenetics

Background:

  • Genome-wide studies are increasingly used to identify human transcriptional regulatory elements.
  • Understanding transcription regulation is crucial for deciphering gene expression.
  • Previous knowledge on enhancer function was limited.

Purpose of the Study:

  • To review genome-wide methodologies for identifying transcriptional regulatory elements.
  • To discuss conceptual insights gained from genome-wide studies on transcription regulation.
  • To highlight key aspects of enhancer function and their implications.

Main Methods:

  • Review of existing genome-wide methodologies.
  • Analysis of conceptual insights from large-scale genomic data.
  • Examination of properties associated with regulatory elements.

Main Results:

  • Transcription factor binding is a regulated process, not always leading to functional outcomes.
  • Numerous properties aid in identifying regulatory elements.
  • Enhancer functions, including combinatorial binding and post-initiation regulation, are more prevalent than previously thought.
  • Enhancers bind early in development to maintain competence.

Conclusions:

  • Genome-wide studies have advanced our understanding of transcription regulation.
  • Enhancer function is complex and widespread.
  • Integrating multiple genome-wide datasets is essential for future research into higher-order regulatory interactions.