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Chromatin Immunoprecipitation- ChIP

Chromatin Immunoprecipitation- ChIP

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...

Heterochromatin

Heterochromatin

The extent of chromatin compaction can be studied by staining chromatin using specific DNA binding dyes. Under the microscope, the dense-compacted regions that take up more dye are called heterochromatin. Heterochromatin is further classified into two forms – constitutive heterochromatin and facultative heterochromatin.
Constitutive heterochromatin: It is a highly compact region of chromatin that is mostly concentrated in the centromere and telomere. Unlike euchromatin, the amino acid at...

Euchromatin

Euchromatin

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...

RNA-seq

RNA-seq

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...

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Related Experiment Video

Updated: Apr 12, 2026

Genome-wide Snapshot of Chromatin Regulators and States in Xenopus Embryos by ChIP-Seq

Genome-wide Snapshot of Chromatin Regulators and States in Xenopus Embryos by ChIP-Seq

Published on: February 26, 2015

ChSeq: A database of chameleon sequences.

Wenlin Li^1,2, Lisa N Kinch³, P Andrew Karplus⁴

¹Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, 75390-9050.

Protein Science : a Publication of the Protein Society

|May 14, 2015

Summary

This summary is machine-generated.

Chameleon sequences (ChSeqs), amino acid strings with flexible structures, were extensively identified. These sequences challenge secondary structure prediction, but profile-based methods show promise.

Keywords:

ChSeq biological function chameleon sequence conformational change secondary structure secondary structure prediction sequence profile structural plasticity

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Last Updated: Apr 12, 2026

Genome-wide Snapshot of Chromatin Regulators and States in Xenopus Embryos by ChIP-Seq

Genome-wide Snapshot of Chromatin Regulators and States in Xenopus Embryos by ChIP-Seq

Published on: February 26, 2015

Chromatin Immunoprecipitation of Murine Brown Adipose Tissue

Chromatin Immunoprecipitation of Murine Brown Adipose Tissue

Published on: November 21, 2018

Chromatin Immunoprecipitation ChIP using Drosophila tissue

Chromatin Immunoprecipitation ChIP using Drosophila tissue

Published on: March 23, 2012

Area of Science:

Biochemistry
Structural Biology
Bioinformatics

Background:

Chameleon sequences (ChSeqs) are identical amino acid segments adopting diverse protein conformations.
Understanding ChSeqs is crucial for deciphering protein structure formation and the interplay of local and global interactions.
Existing secondary structure prediction methods struggle with the conformational variability of ChSeqs.

Purpose of the Study:

To identify and characterize a comprehensive dataset of ChSeqs.
To evaluate the performance of sequence-based secondary structure prediction methods on ChSeqs.
To provide a resource for future research on ChSeqs and protein structural plasticity.

Main Methods:

Utilized the Protein Data Bank to identify ChSeqs of 6-10 amino acid residues.
Compared homologous and unrelated ChSeqs to assess structural plasticity.
Applied sequence profile-based and single-sequence-based secondary structure predictors to the identified ChSeqs.

Main Results:

Discovered a large dataset of ChSeqs, significantly expanding previous findings.
Identified unrelated ChSeqs with lengths up to 10 residues, a notable increase.
Sequence profile-based predictors outperformed single-sequence methods, accurately predicting prevailing secondary structures for unrelated ChSeqs.

Conclusions:

The identified ChSeq dataset offers a valuable resource for studying protein structural plasticity.
Evolutionary information in sequence profiles aids in predicting secondary structures for conformationally flexible regions.
This work enhances our understanding of the relationship between sequence, structure, and function.