H3k4 Trimethylation
H3k4 Trimethylation - Related Videos
09:34
Identification of Modified Histones as Binding Substrates of Human Spindlin Family Member 4 (SPIN4) by Peptide Arrays and Native Nucleosome Pulldown
0 Views •
2026
Genetic variants in human Spindlin Family Member 4 (SPIN4) have recently been identified in patients with bone overgrowth, a novel developmental disorder. A protocol and new results describing the biochemical identification of modified histones in the context of nucleosomes as SPIN4 binding substrates are presented.
06:02
A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
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2025
This protocol provides a streamlined computational pipeline for quantifying nascent enhancer transcripts. By integrating chromatin accessibility, chromatin feature, and transcriptional data, it enables accurate detection and strand-specific analysis of enhancer activity in complex intragenic regions, while remaining accessible to researchers without extensive bioinformatics training.
12:39
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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Cited by 6 •
2012
Our Bayesian Change Point (BCP) algorithm builds on state-of-the-art advances in modeling change-points via Hidden Markov Models and applies them to chromatin immunoprecipitation sequencing (ChIPseq) data analysis. BCP performs well in both broad and punctate data types, but excels in accurately identifying robust, reproducible islands of diffuse histone enrichment.
09:28
One-step Metabolomics: Carbohydrates, Organic and Amino Acids Quantified in a Single Procedure
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Cited by 12 •
2010
The urease method of sample preparation for GC/MS analysis of intermediary metabolites is presented by its inventor. The method allows one-step follow-up of newborn screening for inborn errors by tandem mass spectrometry by quantifying carbohydrates, organic and amino acids all in a single process.
09:47
Analysis of Histone Antibody Specificity with Peptide Microarrays
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Cited by 22 •
2017
This manuscript describes methods for applying peptide microarray technology to specificity profiling of antibodies that recognize histones and their post-translational modifications.
FAQs
H3K4me3 becomes functionally informative when reader proteins recognize it on nucleosomes near promoters. These proteins can affect recruitment or activity of transcriptional machinery, linking the chromatin mark to local gene regulation rather than treating methylation as an isolated chemical change. Examining reader-associated effects therefore helps explain how marked regions participate in transcriptional control.
Histone methyltransferases and demethylases provide opposing regulatory activities: one deposits H3K4me3 on nucleosomes, whereas the other removes it. Their coordinated action makes the mark responsive to changing regulatory conditions. Studying both activities helps researchers examine whether differences between samples reflect altered establishment or removal of the modification.
A promoter-proximal H3K4me3 signal provides a chromatin-level indicator of regions associated with active gene regulation. It does not, by itself, establish every downstream expression outcome; instead, its distribution can be interpreted alongside gene-expression programs. This makes the mark useful for relating local chromatin organization to broader transcriptional states.
Profiling H3K4me3 across samples can reveal where the mark is distributed relative to regulatory regions and promoters. Comparing these profiles between cell states helps identify chromatin differences associated with distinct gene-expression programs. The approach is therefore useful for connecting changes in epigenetic patterning with cellular state while keeping the analysis focused on genomic organization.
In developmental and cell-identity research, differences in H3K4me3 patterns can be examined as chromatin correlates of changing gene-regulatory programs. Profiling the mark across cellular contexts helps researchers ask which genomic regions accompany a particular state and how regulatory organization changes as cells maintain identity. This provides a genetics-based route to studying epigenetic contributions to development.
Studies of diseases involving disrupted epigenetic regulation can use H3K4me3 patterns to investigate altered gene-regulatory organization. Comparative analysis of cellular contexts may show changes in marked genomic regions, chromatin structure, or associated expression programs. These observations help connect epigenetic disruption with disease-related biology, while recognizing that a profiling result describes an association rather than a complete mechanism.