Literature DB >> 25698088

Identification of HPV integration and gene mutation in HeLa cell line by integrated analysis of RNA-Seq and MS/MS data.

Han Sun1,2, Chen Chen3, Baofeng Lian1, Menghuan Zhang1, Xiaojing Wang4, Bing Zhang4, Yixue Li1,2, Pengyuan Yang3, Lu Xie1.   

Abstract

HeLa cell line, which was derived from cervical carcinoma, provides an idea platform to study both the integration of human papillomavirus and the massive mutations occurring on the cancer cell genome. Proteogenomics is a field with the intersection of proteomics and genomics to perform gene annotation and identify gene mutation. In this work, we first identified the SNV/INDEL, structural variation (SV), and virus infection/integration events from RNA-Seq data of HeLa cell line; then, by applying proteogenomics strategy, we were able to detect some of the genomic events with the tandem mass spectrometry (MS/MS) data from the same sample. Furthermore, some of the mutated peptides were experimentally validated using multiple reaction monitoring technology. The integrated analysis of the RNA-Seq and MS/MS data not only renders the discovery of HeLa cell genome variations more credible but also illustrates a practical workflow for protein-coding mutation discovery in cancer-related studies.

Entities:  

Keywords:  HPV; HeLa; MRM; MS/MS; RNA-Seq; proteogenomics

Mesh:

Year:  2015        PMID: 25698088     DOI: 10.1021/pr500944c

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


  3 in total

1.  A Multicenter Study To Evaluate the Performance of High-Throughput Sequencing for Virus Detection.

Authors:  Arifa S Khan; Siemon H S Ng; Olivier Vandeputte; Aisha Aljanahi; Avisek Deyati; Jean-Pol Cassart; Robert L Charlebois; Lanyn P Taliaferro
Journal:  mSphere       Date:  2017-09-13       Impact factor: 4.389

2.  Universal Human Papillomavirus Typing Assay: Whole-Genome Sequencing following Target Enrichment.

Authors:  Tengguo Li; Elizabeth R Unger; Dhwani Batra; Mili Sheth; Martin Steinau; Jean Jasinski; Jennifer Jones; Mangalathu S Rajeevan
Journal:  J Clin Microbiol       Date:  2016-12-14       Impact factor: 5.948

3.  ProGeo-neo: a customized proteogenomic workflow for neoantigen prediction and selection.

Authors:  Yuyu Li; Guangzhi Wang; Xiaoxiu Tan; Jian Ouyang; Menghuan Zhang; Xiaofeng Song; Qi Liu; Qibin Leng; Lanming Chen; Lu Xie
Journal:  BMC Med Genomics       Date:  2020-04-03       Impact factor: 3.063

  3 in total

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