Accession PRJCA005422
Title single cell sequence of ovarian cancer
Relevance Medical
Data types Transcriptome or Gene expression
Organisms Homo sapiens
Description To elucidate the complexity of cell composition in different OC related tissues, we collected scRNA-seq data in combination with TCR repertoire sequencing data by 10x Genomics from fourteen OC patients, totalling 225,373 high-quality cell profiles from primary ovarian tumour, peritoneal metastasis tumour, pelvic lymph node, malignant ascites, and peripheral blood mononuclear cell (PBMC) samples.
Sample scope Single cell
Release date 2023-06-10
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) Key Program 81930064 The study of the mechanism of specific molecular phenotype exosomes and the application as novel tumor biomarkers in precise detection of ovarian cancer
Submitter Xipeng Wang (wangxipeng@xinhuamed.com.cn)
Organization XinHua Hospital, Shanghai JiaoTong University School of Medicine
Submission date 2021-06-09

Project Data

Resource name Description
BioSample (39)  show -