Literature DB >> 29121770

Assessment of Quantification Precision of Histone Post-Translational Modifications by Using an Ion Trap and down To 50 000 Cells as Starting Material.

Qi Guo1, Simone Sidoli1, Benjamin A Garcia1, Xiaolu Zhao2.   

Abstract

Histone post-translational modifications (PTMs) are fundamental players of chromatin regulation, as they contribute to editing histone chemical properties and recruiting proteins for gene transcription and DNA repair. Mass spectrometry (MS)-based proteomics is currently the most widely adopted strategy for high-throughput quantification of hundreds of histone PTMs. Samples such as primary tissues, complex model systems, and biofluids are hard to retrieve in large quantities. Because of this, it is critical to know whether the amount of sample available would lead to an exhaustive analysis if subjected to MS. In this work, we assessed the reproducibility in quantification of histone PTMs using a wide range of starting material, that is, from 5 000 000 to 50 000 cells. We performed the experiment using four different cell lines, that is, HeLa, 293T, human embryonic stem cells (hESCs), and myoblasts, and we quantified a list of 205 histone peptides using ion trap MS and our in-house software. Results highlighted that the relative abundance of some histone PTMs deviated as little as just 4% when comparing high starting material with histone samples extracted from 50 000 cells, for example, H3K9me2 (40% average abundance). Low abundance PTMs such as H3K4me2 (<3% average abundance) showed higher variability, but still ∼34%. This indicates that most PTMs, and especially abundant ones, are quantified with high precision starting from low cell counts. This study will help scientists to decide whether specific experiments are feasible and to plan how much sample should be reserved for histone analysis using MS.

Entities:  

Keywords:  bottom-up; data-independent acquisition; histones; mass spectrometry; post-translational modifications

Mesh:

Substances:

Year:  2017        PMID: 29121770      PMCID: PMC5756110          DOI: 10.1021/acs.jproteome.7b00544

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  19 in total

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8.  Multiplexed data independent acquisition (MSX-DIA) applied by high resolution mass spectrometry improves quantification quality for the analysis of histone peptides.

Authors:  Simone Sidoli; Rina Fujiwara; Benjamin A Garcia
Journal:  Proteomics       Date:  2016-06-08       Impact factor: 3.984

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Authors:  Shu Lin; Benjamin A Garcia
Journal:  Methods Enzymol       Date:  2012       Impact factor: 1.600

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Authors:  Simone Sidoli; Natarajan V Bhanu; Kelly R Karch; Xiaoshi Wang; Benjamin A Garcia
Journal:  J Vis Exp       Date:  2016-05-17       Impact factor: 1.355

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  5 in total

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Authors:  Johayra Simithy; Simone Sidoli; Benjamin A Garcia
Journal:  Proteomics       Date:  2018-04-20       Impact factor: 3.984

2.  Quantitation of Single and Combinatorial Histone Modifications by Integrated Chromatography of Bottom-up Peptides and Middle-down Polypeptide Tails.

Authors:  Kevin A Janssen; Mariel Coradin; Congcong Lu; Simone Sidoli; Benjamin A Garcia
Journal:  J Am Soc Mass Spectrom       Date:  2019-09-11       Impact factor: 3.109

3.  The hyper-activation of transcriptional enhancers in breast cancer.

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Journal:  Virol Sin       Date:  2022-02-18       Impact factor: 6.947

5.  Targeted detection and quantitation of histone modifications from 1,000 cells.

Authors:  Nebiyu A Abshiru; Jacek W Sikora; Jeannie M Camarillo; Juliette A Morris; Philip D Compton; Tak Lee; Yaseswini Neelamraju; Samuel Haddox; Caroline Sheridan; Martin Carroll; Larry D Cripe; Martin S Tallman; Elisabeth M Paietta; Ari M Melnick; Paul M Thomas; Francine E Garrett-Bakelman; Neil L Kelleher
Journal:  PLoS One       Date:  2020-10-26       Impact factor: 3.240

  5 in total

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