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Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

11.2K
Chromatin immunoprecipitation, or ChIP, is an antibody-based technique used to identify sites on DNA that bind to transcription factors of interest or histone proteins. It also helps determine the type of histone modifications such as acetylation, phosphorylation, or methylation.
Types of ChIP
ChIP can be divided into two types - X-ChIP and N-ChIP. X-ChIP involves in vivo cross-linking of histones and regulatory proteins to DNA, fragmenting the DNA by sonication, and isolating the protein-DNA...
11.2K
Chromatin Modification in iPS Cells01:32

Chromatin Modification in iPS Cells

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Chromatin modification alters gene expression; therefore, scientists can add histone-modifying enzymes, histone variants, and chromatin remodeling complexes to somatic cells to aid reprogramming into pluripotent stem (iPS) cells.
Compact chromatin makes reprogramming difficult. Enzymes, such as histone demethylases and acetyltransferases, are often added during reprogramming to loosen the chromatin, making the DNA more accessible to transcription factors. Molecules that inhibit histone...
1.7K
Euchromatin01:01

Euchromatin

7.0K
The extent of chromatin compaction can be studied by staining chromatin using specific DNA binding dyes. Under the microscope, the dense-compacted regions take up more dye, appearing darker, while the less-compact areas take up less dye and appear lighter. Based on the compaction level, chromatins are classified into two primary forms – euchromatin and heterochromatin.
Euchromatin is the less dense region of the chromatin and stains lighter. Euchromatin contains histone H3 extensively...
7.0K
Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

23.4K
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. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
23.4K
Spreading of Chromatin Modifications02:25

Spreading of Chromatin Modifications

8.3K
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.
Writers
The writer...
8.3K

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Related Experiment Video

Updated: Jul 24, 2025

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

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IChrom-Deep: An Attention-Based Deep Learning Model for Identifying Chromatin Interactions.

Pengyu Zhang, Hao Wu

    IEEE Journal of Biomedical and Health Informatics
    |July 4, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Predicting chromatin interactions is vital for understanding gene regulation. A new deep learning model, IChrom-Deep, accurately identifies these interactions using sequence and genomic features, outperforming existing methods.

    More Related Videos

    Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
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    Chromatin Interaction Analysis with Paired-End Tag Sequencing ChIA-PET for Mapping Chromatin Interactions and Understanding Transcription Regulation
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    Chromatin Interaction Analysis with Paired-End Tag Sequencing ChIA-PET for Mapping Chromatin Interactions and Understanding Transcription Regulation

    Published on: April 30, 2012

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    Last Updated: Jul 24, 2025

    An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
    10:41

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    Published on: April 5, 2018

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    Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
    09:32

    Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

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    Chromatin Interaction Analysis with Paired-End Tag Sequencing ChIA-PET for Mapping Chromatin Interactions and Understanding Transcription Regulation
    21:55

    Chromatin Interaction Analysis with Paired-End Tag Sequencing ChIA-PET for Mapping Chromatin Interactions and Understanding Transcription Regulation

    Published on: April 30, 2012

    30.8K

    Area of Science:

    • Genomics
    • Computational Biology
    • Molecular Biology

    Background:

    • Understanding gene regulation relies on identifying chromatin interactions.
    • Experimental methods for detecting chromatin interactions have limitations, necessitating computational approaches.
    • Accurate prediction of chromatin interactions is essential for advancing genomic research.

    Purpose of the Study:

    • To develop a novel deep learning model for predicting chromatin interactions.
    • To utilize sequence and genomic features for improved prediction accuracy.
    • To evaluate the model's performance across different cell lines and compare it with existing methods.

    Main Methods:

    • Developed an attention-based deep learning model named IChrom-Deep.
    • Integrated DNA sequence features and genomic features as input.
    • Validated the model on datasets from three distinct cell lines.

    Main Results:

    • IChrom-Deep demonstrated satisfactory performance and outperformed previous computational methods.
    • Investigated the influence of specific features like sequence conservation and distance on chromatin interactions.
    • Identified key genomic features crucial across multiple cell lines, enabling comparable performance with a reduced feature set.

    Conclusions:

    • IChrom-Deep is a powerful tool for identifying chromatin interactions.
    • The study highlights the importance of sequence and genomic features in chromatin interaction prediction.
    • IChrom-Deep offers a valuable computational approach for future genomic studies.