Project description:mRNA, lncRNA, and miRNA signatures were identified to discriminate cervical adenocarcinoma from normal cervix by whole transcriptome sequencing. We confirmed the RNA-seq data in another cohort of clinical cervical tissue samples by qRT-PCR.We demonstrated that miR-192-5p/HNF1A-AS1/VIL1 panel could accurately discriminates adenocarcinoma from normal cervix. Moreover,we also identified the circRNA expression profiles in cervical adenocarcinoma tissues and explored the function roles and mechanisms of circular RNA circEYA1 and circSPIDR in cervical adenocarcinoma cells.
Project description:This dataset corresponds to the proteomic characterization of the TMEM160 interactome in A549 cells using co-immunoprecipitation (Co-IP) followed by data-independent acquisition mass spectrometry (DIA-MS). TMEM160 was immunoprecipitated using an anti-TMEM160 antibody, and interacting proteins were identified through LC–MS/MS analysis using a Q-Exactive HF-X system. Protein identification and quantification were performed in DIA-NN (v1.8.1) in library-free mode using the UniProt Human reference proteome.