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Related Concept Videos

Master Transcription Regulators02:23

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
Master Transcription Regulators02:23

Master Transcription Regulators

Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
Overview of Transposition and Recombination02:13

Overview of Transposition and Recombination

Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...
Transcription01:17

Transcription

Transcription is the synthesis of RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in correctly synthesizing messenger RNA (mRNA). Transcriptional regulation is responsible for the differentiation of different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds of RNA Molecules
In eukaryotes,...
Transcription01:10

Transcription

Overview
Transcription is the process of synthesizing RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in the proper synthesis of messenger RNA (mRNA). Regulation of transcription is responsible for the differentiation of all the different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds...
Transcription01:10

Transcription

Overview
Transcription is the process of synthesizing RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in the proper synthesis of messenger RNA (mRNA). Regulation of transcription is responsible for the differentiation of all the different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds...

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DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

Reverse-engineering transcription control networks.

Timothy S Gardner1, Jeremiah J Faith

  • 1Department of Biomedical Engineering, Boston University, 44 Cummington St., Boston, MA 02215, USA.

Physics of Life Reviews
|April 27, 2010
PubMed
Summary
This summary is machine-generated.

Researchers have developed algorithms to understand gene regulation using microarray data. This review classifies these methods into physical and influence modeling for better application in systems biology.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Microarray technology allows simultaneous measurement of all RNA transcripts in a cell.
  • This has driven the development of algorithms for reverse-engineering gene regulatory networks.
  • Understanding transcription control networks is crucial for systems biology.

Purpose of the Study:

  • To classify algorithms for reverse-engineering transcription control networks.
  • To discuss the underlying biological and computational principles of different strategies.
  • To provide examples and practical considerations for algorithm application.

Main Methods:

  • Classification of algorithms into two main strategies: physical modeling and influence modeling.
  • Discussion of the biological principles behind each modeling strategy.
  • Review of computational approaches for network inference.

Main Results:

  • Identification of two primary algorithmic strategies: physical and influence modeling.
  • Detailed explanation of the strengths and limitations of each approach.
  • Presentation of leading examples for both physical and influence modeling.

Conclusions:

  • The choice of modeling strategy depends on the specific biological question and data.
  • Practical considerations are essential for successful application of these algorithms.
  • Further development of robust algorithms is needed for accurate network inference.