Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Regulation of Expression at Multiple Steps

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 Steps

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 Steps

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...

Master Transcription Regulators

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 Regulators

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...

Translational Regulation

Translational Regulation

Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Single-cell transcriptomics reveal how root tissues adapt to soil stress.

Nature·2025

Same author

<i>Arabidopsis</i> uses a molecular grounding mechanism and a biophysical circuit breaker to limit floral abscission signaling.

Proceedings of the National Academy of Sciences of the United States of America·2024

Same author

SHR and SCR coordinate root patterning and growth early in the cell cycle.

Nature·2024

Same author

The rhizodynamics robot: Automated imaging system for studying long-term dynamic root growth.

PloS one·2023

Same author

Plasmodesmata mediate cell-to-cell transport of brassinosteroid hormones.

Nature chemical biology·2023

Same author

Cell-type-specific transcriptomics reveals that root hairs and endodermal barriers play important roles in beneficial plant-rhizobacterium interactions.

Molecular plant·2023

Search research articles

Related Experiment Video

Updated: Jun 1, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Reconstructing regulatory network transitions.

Jalean J Petricka¹, Philip N Benfey

¹Department of Biology and IGSP Center for Systems Biology, Duke University, Durham, NC 27708, USA.

Trends in Cell Biology

|June 3, 2011

Summary

Researchers are reconstructing regulatory networks to understand and predict cellular transitions. This review highlights methods for mapping transcriptional regulatory networks across organisms, aiding in identifying new components and outcomes.

More Related Videos

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

Related Experiment Videos

Last Updated: Jun 1, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

Area of Science:

Molecular Biology
Systems Biology
Genomics

Background:

Cellular transitions, such as stem cell differentiation, are fundamental biological processes.
These transitions are regulated by complex molecular interactions, including gene expression changes and signaling pathways.
Understanding these regulatory networks is crucial for deciphering cellular behavior and potential manipulation.

Purpose of the Study:

To review current approaches for reconstructing regulatory networks, particularly transcriptional regulatory networks.
To provide insights into the methodologies used to map these networks.
To discuss the significance of regulatory network reconstruction in understanding cellular transitions.

Main Methods:

Focus on methods for reconstructing transcriptional regulatory networks.
Analysis of recent case studies across diverse organisms.
Discussion of commonalities and successes in network reconstruction.

Main Results:

Successful identification of novel regulatory components and interactions.
Elucidation of shared regulatory relationships across different biological systems.
Correlation of network structures with specific phenotypic outcomes.

Conclusions:

Regulatory network reconstruction is a powerful tool for understanding cellular dynamics.
Advances in network analysis facilitate the prediction and potential control of cellular states.
This approach offers a unified framework for studying diverse biological transitions.