Browse
Submit Data
Databases
API
Help

Dataset Information

51 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Decoding the protein composition of whole nucleosomes with Nuc-MS.

ABSTRACT: Current proteomic approaches disassemble and digest nucleosome particles, blurring readouts of the 'histone code'. To preserve nucleosome-level information, we developed Nuc-MS, which displays the landscape of histone variants and their post-translational modifications (PTMs) in a single mass spectrum. Combined with immunoprecipitation, Nuc-MS quantified nucleosome co-occupancy of histone H3.3 with variant H2A.Z (sixfold over bulk) and the co-occurrence of oncogenic H3.3K27M with euchromatic marks (for example, a >15-fold enrichment of dimethylated H3K79me2). Nuc-MS is highly concordant with chromatin immunoprecipitation-sequencing (ChIP-seq) and offers a new readout of nucleosome-level biology.

SUBMITTER: Schachner LF

PROVIDER: S-EPMC7954958 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Decoding the protein composition of whole nucleosomes with Nuc-MS.

Schachner Luis F LF Jooß Kevin K Morgan Marc A MA Piunti Andrea A Meiners Matthew J MJ Kafader Jared O JO Lee Alexander S AS Iwanaszko Marta M Cheek Marcus A MA Burg Jonathan M JM Howard Sarah A SA Keogh Michael-Christopher MC Shilatifard Ali A Kelleher Neil L NL

Nature methods 20210215 3

Current proteomic approaches disassemble and digest nucleosome particles, blurring readouts of the 'histone code'. To preserve nucleosome-level information, we developed Nuc-MS, which displays the landscape of histone variants and their post-translational modifications (PTMs) in a single mass spectrum. Combined with immunoprecipitation, Nuc-MS quantified nucleosome co-occupancy of histone H3.3 with variant H2A.Z (sixfold over bulk) and the co-occurrence of oncogenic H3.3K27M with euchromatic mar ...[more]

PMID: 33589837

Similar Datasets

Decoding the Protein Composition of Whole Nucleosomes with Nuc-MS

Project description:Current proteomic approaches disassemble and digest nucleosome particles, blurring readouts of the ‘histone code’. To preserve nucleosome-level information, we developed Nuc-MS, which displays the landscape of histone variants and their post-translational modifications (PTMs) in a single mass spectrum. Combined with immunoprecipitation, Nuc-MS quantified nucleosome co-occupancy of histone H3.3 with variant H2A.Z (sixfold over bulk) and the co-occurrence of oncogenic H3.3K27M with euchromatic marks (for example, a >15-fold enrichment of dimethylated H3K79me2). Nuc-MS is highly concordant with chromatin immunoprecipitation-sequencing (ChIP-seq) and offers a new readout of nucleosome-level biology. Chromatin immunoprecipitation DNA-sequencing (ChIP-seq) for histone variants H3.3, H2AZ as well as the histone modifications H3K79me2 and H4K16ac in HEK293T cells.

2022-11-03 | GSE216732 | GEO

Decoding the protein composition of whole nucleosomes with Nuc-MS

2021-04-20 | GSE149484 | GEO

Decoding the Protein Composition of Whole Nucleosomes with Nuc-MS

Project description:Decoding the Protein Composition of Whole Nucleosomes with Nuc-MS

| PRJNA895070 | ENA

Decoding the protein composition of whole nucleosomes with Nuc-MS

Project description:Decoding the protein composition of whole nucleosomes with Nuc-MS

| PRJNA628862 | ENA

Decoding the protein composition of whole nucleosomes with Nuc-MS

Project description:Nuc-MS characterizes histone modifications and variants directly from intact endogenous mono-nucleosomes. Preserving whole nucleosome particles enables precise interrogation of their protein content, as for H3.3-containing nucleosomes which had 6-fold co-enrichment of variant H2A.Z over bulk chromatin. Moreover, Nuc-MS showed co-occurrence of oncogenic H3.3K27M with euchromatic marks (e.g., H4K16ac and >40-fold enrichment of H3K79me2). By capturing the entire epigenetic landscape, Nuc-MS provides a new, quantitative readout of nucleosome-level biology.

2020-04-06 | MSV000085238 | MassIVE

Decoding Reciprocal Regulation of ASPM and FoxM1 Amplifies the Oncogenic Progression in Human Hepatocellular Carcinoma Protein Composition of Whole Nucleosomes with Nuc-MS

Project description:Fork-head box protein M1 (FoxM1) is a transcription factor which plays critical roles in development and progression of multiple cancers, including human hepatocellular carcinoma (HCC). However, the regulatory mechanism of FoxM1 itself remains largely unclear. Here, we discovered a novel role of abnormal spindle-like microcephaly associated (ASPM) in HCC, which binds to FoxM1 protein and enhances its stability by preventing proteasome-mediated degradation. ChIP-sequencing data showed that ASPM and FoxM1 co-occupies on the promoter region of multiple genes to promote their transcriptions, leading to the enhancement of a FoxM1-driven oncogenic progression. Intriguingly, FoxM1 binds to the promoter region of ASPM and transcriptionally activates the ASPM expression. Furthermore, data from clinical samples showed that a higher co-expression of ASPM and FoxM1 significantly correlates with poor prognosis in HCC, indicating that a positive feedforward loop between ASPM and FoxM1 coordinately promotes the aggressive progression in HCC. Collectively, our study reveals that reciprocal regulation of ASPM and FoxM1 amplifies the oncogenic progression and emphasizes an ASPM-FoxM1 feedforward loop could be a potential biomarker and therapeutic target in HCC.

2024-09-16 | GSE220649 | GEO

Decoding Reciprocal Regulation of ASPM and FoxM1 Amplifies the Oncogenic Progression in Human Hepatocellular Carcinoma Protein Composition of Whole Nucleosomes with Nuc-MS

Project description:Decoding Reciprocal Regulation of ASPM and FoxM1 Amplifies the Oncogenic Progression in Human Hepatocellular Carcinoma Protein Composition of Whole Nucleosomes with Nuc-MS

| PRJNA910584 | ENA

Single-molecule decoding of combinatorially modified nucleosomes.

Project description:Different combinations of histone modifications have been proposed to signal distinct gene regulatory functions, but this area is poorly addressed by existing technologies. We applied high-throughput single-molecule imaging to decode combinatorial modifications on millions of individual nucleosomes from pluripotent stem cells and lineage-committed cells. We identified definitively bivalent nucleosomes with concomitant repressive and activating marks, as well as other combinatorial modification states whose prevalence varies with developmental potency. We showed that genetic and chemical perturbations of chromatin enzymes preferentially affect nucleosomes harboring specific modification states. Last, we combined this proteomic platform with single-molecule DNA sequencing technology to simultaneously determine the modification states and genomic positions of individual nucleosomes. This single-molecule technology has the potential to address fundamental questions in chromatin biology and epigenetic regulation.

| S-EPMC4904710 | biostudies-literature

deMix: Decoding Deuterated Distributions from Heterogeneous Protein States via HDX-MS.

Project description:Characterization of protein structural changes in response to protein modifications, ligand or chemical binding, or protein-protein interactions is essential for understanding protein function and its regulation. Amide hydrogen/deuterium exchange (HDX) coupled with mass spectrometry (MS) is one of the most favorable tools for characterizing the protein dynamics and changes of protein conformation. However, currently the analysis of HDX-MS data is not up to its full power as it still requires manual validation by mass spectrometry experts. Especially, with the advent of high throughput technologies, the data size grows everyday and an automated tool is essential for the analysis. Here, we introduce a fully automated software, referred to as 'deMix', for the HDX-MS data analysis. deMix deals directly with the deuterated isotopic distributions, but not considering their centroid masses and is designed to be robust over random noises. In addition, unlike the existing approaches that can only determine a single state from an isotopic distribution, deMix can also detect a bimodal deuterated distribution, arising from EX1 behavior or heterogeneous peptides in conformational isomer proteins. Furthermore, deMix comes with visualization software to facilitate validation and representation of the analysis results.

| S-EPMC6395696 | biostudies-literature

LC-MS/MS-based quantitative study of the acyl group- and site-selectivity of human sirtuins to acylated nucleosomes.

Project description:Chromatin structure and gene expression are dynamically regulated by posttranslational modifications of histones. Recent advance in mass spectrometry has identified novel types of lysine acylations, such as butyrylation and malonylation, whose functions and regulations are likely different from those of acetylation. Sirtuins, nicotinamide adenine dinucleotide (NAD+)-dependent histone deacetylases, catalyze various deacylations. However, it is poorly understood how distinct sirtuins regulate the histone acylation states of nucleosomes that have many lysine residues. Here, we provide mass spectrometry-based quantitative information about the acyl group- and site-selectivity of all human sirtuins on acylated nucleosomes. The acyl group- and site-selectivity of each sirtuin is unique to its subtype. Sirt5 exclusively removes negatively-charged acyl groups, while Sirt1/2/3/6/7 preferentially remove hydrophobic acyl groups; Sirt1 and Sirt3 selectively remove acetyl group more than butyryl group, whereas Sirt2 and Sirt6 showed the opposite selectivity. Investigating site-selectivity for active sirtuins revealed acylated lysines on H4 tails to be poor substrates and acylated H3K18 to be a good substrate. Furthermore, we found Sirt7 to be a robust deacylase of H3K36/37, and its activity reliant on nucleosome-binding at its C-terminal basic region. All together, our quantitative dataset provides a useful resource in understanding chromatin regulations by histone acylations.

| S-EPMC5805777 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data