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

Ribosome Profiling02:24

Ribosome Profiling

4.0K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.0K
RNA-seq03:21

RNA-seq

11.6K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.6K

You might also read

Related Articles

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

Sort by
Same author

Correction: p53 Frameshift Mutations Couple Loss-of-Function with Unique Neomorphic Activities.

Molecular cancer research : MCR·2026
Same author

Mutant p53: evolving perspectives.

Genes & development·2025
Same author

Mutant p53 regulates cancer cell invasion in complex three-dimensional environments through mevalonate pathway-dependent Rho/ROCK signaling.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

A fork in the road: PADI4 citrullinates p53 to control immune-related networks.

Molecular cell·2025
Same author

The legacy of a gentleman scientist: Pierre Hainaut.

Cell death and differentiation·2025
Same author

Analysis of p53-Independent Functions of the Mdm2-MdmX Complex Using Data-Independent Acquisition-Based Profiling.

Proteomes·2025
Same journal

Nanotechnology-Stem Cell Strategies in 3D Glioblastoma Organoid: Targeting Glioma Stem Cells Within a Complex Tumor Microenvironment.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

13.9K

Discovering Transcription Factor Noncoding RNA Targets Using ChIP-Seq Analysis.

Vitalay Fomin1, Carol Prives2

  • 1Department of Biological Sciences, Columbia University, New York, NY, USA. vf2181@columbia.edu.

Methods in Molecular Biology (Clifton, N.J.)
|January 16, 2020
PubMed
Summary
This summary is machine-generated.

Next-generation sequencing methods like RNA-seq and ChIP-seq offer powerful gene analysis. This study introduces a new method to identify transcription factor binding sites near noncoding genes.

Keywords:
ChIP-seqNext generation sequencingNoncodingTranscription factorp53

More Related Videos

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
09:52

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

Published on: April 19, 2013

24.8K
RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

26.1K

Related Experiment Videos

Last Updated: Dec 30, 2025

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

13.9K
Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
09:52

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

Published on: April 19, 2013

24.8K
RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

26.1K

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Next-generation sequencing technologies facilitate comprehensive analysis of gene expression, genomic variations, and protein-DNA interactions.
  • Understanding transcription factor binding is crucial for regulating gene expression, particularly near noncoding genes.

Purpose of the Study:

  • To develop and present a novel method for identifying transcription factor binding sites.
  • To specifically target binding sites located in the vicinity of nonprotein-coding genes.

Main Methods:

  • Utilizing next-generation sequencing techniques.
  • Implementing a method designed for the identification of transcription factor binding sites.
  • Focusing analysis on regions adjacent to noncoding genes.

Main Results:

  • Successfully identified transcription factor binding sites.
  • Demonstrated the applicability of the method to noncoding gene regions.
  • Provided a new tool for genomic regulatory element analysis.

Conclusions:

  • The described method enables the discovery of transcription factor binding near noncoding genes.
  • This advancement expands the scope of ChIP-seq and related techniques.
  • Facilitates deeper understanding of gene regulation by noncoding elements.