Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Combinatorial Gene Control02:33

Combinatorial Gene Control

9.9K
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...
9.9K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

1.5K
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...
1.5K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

4.2K
4.2K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

26.9K
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...
26.9K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

12.1K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
12.1K
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

4.3K
4.3K

You might also read

Related Articles

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

Sort by
Same author

Revisiting Raynaud's Phenomenon: Emerging Insights and Evolving Management Strategies.

Recent advances in inflammation & allergy drug discovery·2026
Same author

Revolutionizing Psoriasis Therapy: Cutting-Edge Nanocarrier Systems, Formulation Strategies, and Future Horizons.

Current pharmaceutical design·2026
Same author

Polymer-doxorubicin Conjugates: Redefining Chemotherapy for Breast Cancer.

Mini reviews in medicinal chemistry·2026
Same author

Palliative care consultations for non-malignant diseases: Experience from a public hospital in Western India.

Journal of family medicine and primary care·2026
Same author

Genomic characterization of Microbacterium meiriae sp. nov., a novel bacterium isolated from the International Space Station.

Scientific reports·2025
Same author

Microemulsion Loaded Hydrogel as an Advanced Approach for Topical Delivery of Drug: A Brief Review.

Current pharmaceutical design·2025

Related Experiment Video

Updated: Mar 23, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

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

Published on: December 7, 2021

2.7K

bLARS: An Algorithm to Infer Gene Regulatory Networks.

Nitin Singh, Mathukumalli Vidyasagar

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |April 6, 2016
    PubMed
    Summary
    This summary is machine-generated.

    We developed bLARS, a new method for inferring gene regulatory networks (GRNs) from gene expression data. bLARS accurately models nonlinear interactions, outperforming existing algorithms on benchmark datasets.

    More Related Videos

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.4K
    Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
    08:09

    Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

    Published on: June 17, 2012

    20.6K

    Related Experiment Videos

    Last Updated: Mar 23, 2026

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

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

    Published on: December 7, 2021

    2.7K
    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.4K
    Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
    08:09

    Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

    Published on: June 17, 2012

    20.6K

    Area of Science:

    • Systems Biology
    • Computational Biology
    • Bioinformatics

    Background:

    • Inferring gene regulatory networks (GRNs) is crucial for understanding cellular mechanisms.
    • Existing regression-based GRN inference methods often assume linear regulatory interactions.
    • Biological transcription regulation frequently involves nonlinear mechanisms.

    Purpose of the Study:

    • To introduce bLARS, a novel regression-based method for GRN inference.
    • To enable the modeling of diverse nonlinear regulatory interactions.
    • To improve the accuracy of GRN inference from gene expression data.

    Main Methods:

    • Developed bLARS, a regression-based approach for GRN inference.
    • bLARS accommodates a flexible family of nonlinear functions for regulatory interactions.
    • Evaluated bLARS on E. coli, Yeast, and synthetic DREAM benchmark datasets.

    Main Results:

    • bLARS demonstrated superior performance compared to state-of-the-art algorithms on DREAM benchmark datasets.
    • The method achieved the best performance among non-perturbation, non-meta-analysis algorithms on individual networks.
    • bLARS shows potential for general feature selection in similar structured problems.

    Conclusions:

    • bLARS offers a robust and accurate method for inferring gene regulatory networks, particularly those with nonlinear interactions.
    • The flexibility of bLARS extends its applicability beyond biology to general feature selection tasks.
    • This work advances systems biology by providing a more realistic model for gene regulation.