[Extraction and isolation of histones from paraffin-embedded tissues and quantitative analysis of post-translational modifications].

Histone post-translational modifications (HPTMs) have been believed to play crucial roles in the regulation of gene transcription. Thus, aberrant modification of histone can contribute to the occurrence and development of diseases such as tumors. To date, formalin fixed paraffin-embedded (FFPE) clinical tissues are believed to be one of the most valuable sample resources in the study of human diseases. Therefore, it is of great significance to reveal the molecular mechanism of cancer and discover the markers of tumor. Proteomics, based on high performance liquid chromatograph-tandem mass spectrometry (HPLC-MS/MS), has become a powerful tool for HPTM identification. However, HPTM analysis of FFPE samples is yet to be explored; it has not been reported in China to our best knowledge. In this study, a new method based on HPLC-MS/MS was developed for the extraction and separation of histone proteins and analysis and quantification of HPTMs in FFPE tissues. First, the strategy for the extraction and separation of histone proteins from FFPE samples were optimized. After comparing the extraction efficiency of two different methods, which include the acid extraction of histone and extraction of total protein, a novel method was developed for histone extraction, separation, and HPTMs analysis by integrating dewaxed hydration treatment of FFPE tissues with protein extraction and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) separation. Furthermore, the effects of operation parameters on histone extraction and HPTM identification were investigated, including number of paraffin embedded sections and chemical derivation of histone proteins. Thereafter, the identification and quantification of HPTMs were performed using reversed-phase HPLC-MS/MS in data independent acquisition (DIA) mode. Finally, the optimized methods were applied to quantitative analysis of HPTMs in FFPE tissues. A variety of HPTMs were identified; they included lysine methylation, acetylation, crotonylation, etc. Therefore, the spectrum of HPTMs on global level was set for human breast cancer and paracancerous tissues from two cases of FFPE clinical tissues. The sites holding differential HPTM level in cancer and paracancerous tissues were further obtained by quantifying the individual HPTMs. Thus, the relationship between HPTM level and tumor was discussed. Abnormal HPTM sites were characterized using cluster analysis, thus their similar tendency was found. For example, abnormal HPTM sites such as H3K9me3, H3K9ac, and H3K27me3 in cancers are associated with epigenetic regulation. It indicated that different epigenetic events might occur in cancer and paracancerous tissues. Interestingly, we found that the level of H4K20me3 were both significantly down-regulated in the two cancer tissues. HPTM had been thought to be a potential biomarker in breast cancer; therefore, these positive results indicated that our method is effective for HPTMs of clinical FFPE samples. Our study provides a useful tool for the isolation and analysis of HPTMs in clinical FFPE samples, showing the potential for the detection of epigenetic biomarker in cancer.