Project description:To identify ubiquitinated modified proteins of lung adenocarcinoma, we collected five pairs of lung adenocarcinoma and normal lung tissues from the clinic for analysis
Project description:Lung adenocarcinoma is the most common histologic subtype of non-small cell lung cancer. There exists a need to identify new molecular regulators for lung adenocarcinoma, providing insights into potential therapeutic targets. We used microarrays to identify up-regulated genes in invasive lung adenocarcinoma.
Project description:To identify proteomic of lung adenocarcinoma, we collected five pairs of lung adenocarcinoma and normal lung tissues from the clinic for analysis
Project description:Genome wide DNA methylation profiling of normal and adenocarcinoma lung tissues. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in lung adenocarcinoma samples.
Project description:We obtained primary lesions, brain metastases, and normal lung tissues from lung adenocarcinoma patients. Next generation sequencing was performed to assess the expressions of miRNA in these specimens.
Project description:Differentially expressed miRNAs and potential miRNA biomarkers for lung adenocarcinoma tissues compared to adjacent normal tissues were identified using DESeq2 and Wx, respectively.
Project description:Although multi-omics studies of glioblastoma (GBM) have improved understanding of its biology nature and accelerated targeted therapy, data for paired adjacent normal tissues (NAT) remains limited. Here, we report proteomes from 3 paired of tumor tissues and NATs of glioblastoma (GBM) patients using liquid chromatography with tandem mass spectrometry (LC-MS/MS)-based label-free quantification. This dataset provides a resource of paired GBM and normal tissues to identify novel tumor-specific oncogenes or tumor-suppressor genes.