Khan Aafaque Ahmad, Mangalaparthi Kiran Kumar, Advani Jayshree, Prasad T S Keshava, Gowda Harsha, Jain Deepali, Chatterjee Aditi
Institute of Bioinformatics, 7th floor, Discoverer building, International Tech Park, Bangalore 560066, India.
School of Biotechnology, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India.
Data Brief. 2018 Jun 22;19:1631-1637. doi: 10.1016/j.dib.2018.06.035. eCollection 2018 Aug.
Lung cancer is the leading cause of preventable death globally and is broadly classified into adenocarcinoma and squamous cell carcinoma. In this study, we carried out mass spectrometry based quantitative proteomic analysis of lung adenocarcinoma and squamous cell carcinoma primary tissue by employing the isobaric tags for relative and absolute quantitation (iTRAQ) approach. Proteomic data analyzed using SEQUEST algorithm resulted in identification of 25,998 peptides corresponding to 4342 proteins of which 610 proteins were differentially expressed (≥ 2-fold) between adenocarcinoma and squamous cell carcinoma. These differentially expressed proteins were further classified by gene ontology for their localization and biological processes. Pathway analysis of differentially expressed proteins revealed distinct alterations in networks and pathways in both adenocarcinoma and squamous cell carcinoma. We identified a subset of proteins that show inverse expression pattern between lung adenocarcinoma and squamous cell carcinoma. Such proteins may serve as potential markers to distinguish between the two subtypes. Mass spectrometric data generated in this study was submitted to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the dataset identifier PXD008700.
肺癌是全球可预防死亡的主要原因，大致可分为腺癌和鳞状细胞癌。在本研究中，我们采用相对和绝对定量等压标签（iTRAQ）方法，对肺腺癌和鳞状细胞癌原发组织进行了基于质谱的定量蛋白质组分析。使用SEQUEST算法分析蛋白质组数据，结果鉴定出25,998个肽段，对应4342种蛋白质，其中610种蛋白质在腺癌和鳞状细胞癌之间差异表达（≥2倍）。这些差异表达的蛋白质通过基因本体论进一步分类，以确定其定位和生物学过程。对差异表达蛋白质的通路分析揭示了腺癌和鳞状细胞癌在网络和通路上的明显改变。我们鉴定出一组在肺腺癌和鳞状细胞癌之间呈现相反表达模式的蛋白质。这些蛋白质可能作为区分这两种亚型的潜在标志物。本研究中产生的质谱数据通过PRIDE合作伙伴库提交给蛋白质组交换联盟（http://proteomecentral.proteomexchange.org），数据集标识符为PXD008700。
