Chromatin Proteome Analysis
Chromatin Proteome Analysis - Related Videos
08:11
Quantitative Analysis of Chromatin Proteomes in Disease
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Cited by 4 •
2012
Advances in mass spectrometry have allowed the high throughput analysis of protein expression and modification in a host of tissues. Combined with subcellular fractionation and disease models, quantitative mass spectrometry and bioinformatics can reveal new properties in biological systems. The method described herein analyzes chromatin-associated proteins in the setting of heart disease and is readily applicable to other in vivo models of human disease.
24:02
The ChroP Approach Combines ChIP and Mass Spectrometry to Dissect Locus-specific Proteomic Landscapes of Chromatin
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Cited by 27 •
2014
By combining native and crosslinking chromatin immunoprecipitation with high-resolution Mass Spectrometry, ChroP approach enables to dissect the composite proteomic architecture of histone modifications, variants and non-histonic proteins synergizing at functionally distinct chromatin domains.
07:41
Sequential Salt Extractions for the Analysis of Bulk Chromatin Binding Properties of Chromatin Modifying Complexes
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Cited by 20 •
2017
Sequential salt extraction of chromatin bound proteins is a useful tool for determining the binding properties of large protein complexes. This method can be employed to evaluate the role of individual subunits or domains in the overall affinity of a protein complex to bulk chromatin.
09:29
Skeletal Muscle Gender Dimorphism from Proteomics
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Cited by 4 •
2011
A straight-forward set of methods to isolate and determine the identity of the most abundant proteins expressed in skeletal muscle. About 800 spots are discerned on a two-dimensional gel from 10 mg muscle; this allows for the determination of gender-specific protein expression. These methods will give equivalent results in most tissues.
09:40
Analysis of the c-KIT Ligand Promoter Using Chromatin Immunoprecipitation
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2017
DNA-protein interactions are essential for multiple biological processes. During the evaluation of cellular functions, the analysis of DNA-protein interactions is indispensable for understanding gene regulation. Chromatin immunoprecipitation (ChIP) is a powerful tool to analyze such interactions in vivo.
FAQs
These protein classes represent distinct aspects of chromatin regulation. Histones organize DNA and can carry post-translational modifications, transcription factors connect chromatin with gene-regulatory programs, and chromatin remodelers influence DNA accessibility. Measuring them together helps distinguish structural changes from altered regulatory activity, providing a broader explanation for differences in gene expression between medical conditions.
Post-translational modifications can influence how chromatin controls DNA accessibility and gene activity. Their detection adds functional information beyond simply listing which proteins are present. In medical comparisons, modification patterns may help explain how the same chromatin components participate in different regulatory states, including changes associated with development, cancer, inflammation, or responses to treatment.
Comparing chromatin protein profiles across defined conditions allows researchers to identify changes that are enriched in a disease or treatment state rather than merely present in chromatin generally. Differences in protein abundance, associated regulatory factors, or post-translational modifications can then be related to altered gene regulation and used to investigate disease-associated pathways.
The workflow begins with chromatin isolation from cells or tissues, followed by extraction of proteins associated with the isolated chromatin. Those proteins are separated before mass spectrometry or another proteomic method is used for identification and characterization. The resulting profile can include histones, transcription factors, chromatin remodelers, and relevant post-translational modifications.
Profiles can be compared between biological or treatment conditions to reveal changes in chromatin regulation. For example, researchers may examine differences associated with development, cancer, inflammation, or drug response. Interpreting these condition-specific patterns can connect altered chromatin proteins with changes in gene activity and help prioritize pathways for further medical investigation.
Distinct chromatin protein profiles may reveal molecular features associated with a disease state or with how a sample responds to a drug. Such features can guide the search for biomarkers, while dysregulated proteins and pathways may suggest therapeutic targets. The method therefore contributes both descriptive molecular data and mechanistic context for studying altered gene expression in medicine.