Mass-spectrometry analysis of histone post-translational modifications in pathology tissue using the PAT-H-MS approach

被引:6
作者
Noberini, Roberta [1 ]
Pruneri, Giancarlo [2 ,3 ]
Minucci, Saverio [4 ,5 ,6 ]
Bonaldi, Tiziana [4 ]
机构
[1] Ist Italian Tecnol, Ctr Genom Sci IIT SEMM, Via Adamello 16, I-20139 Milan, Italy
[2] Univ Milan, Sch Med, I-20122 Milan, Italy
[3] European Inst Oncol, Dept Pathol, Biobank Translat Med Unit, Via Ripamonti 435, I-20141 Milan, Italy
[4] European Inst Oncol, Dept Expt Oncol, Via Adamello 16, I-20139 Milan, Italy
[5] European Inst Oncol, Drug Dev Program, Via Adamello 16, I-20139 Milan, Italy
[6] Univ Milan, Dept Biosci, I-20133 Milan, Italy
来源
DATA IN BRIEF | 2016年 / 7卷
关键词
Mass spectrometry; Proteomics; Epigenetics; Histone posttranslational modifications; Formalin-fixed paraffin embedded tissues; Biomarker; Breast cancer;
D O I
10.1016/j.dib.2016.02.028
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Aberrant histone post-translational modifications (hPTMs) have been implicated with various pathologies, including cancer, and may represent useful epigenetic biomarkers. The data described here provide a mass spectrometry-based quantitative analysis of hPTMs from formalin-fixed paraffin-embedded (FFPE) tissues, from which histones were extracted through the recently developed PAT-H-MS method. First, we analyzed FFPE samples from mouse spleen and liver or human breast cancer up to six years old, together with their corresponding fresh frozen tissue. We then combined the PAT-H-MS approach with a histone-focused version of the super-SILAC strategy-using a mix of histones from four breast cancer cell lines as a spike-in standard-to accurately quantify hPTMs from breast cancer specimens belonging to different subtypes. The data, which are associated with a recent publication (Pathology tissue-quantitative mass spectrometry analysis to profile histone post-translational modification patterns in patient samples (Noberini, 2015) [1]), are deposited at the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD002669. (C) 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license.
引用
收藏
页码:188 / 194
页数:7
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