Dataset Information

A Comparative Study of Human Testes and Epididymis through the Proteomics and RNA-seq Methods

ABSTRACT: A Comparative Study of Human Testes and Epididymis through the Proteomics and RNA-seq Methods

Dataset imported into MassIVE from https://www.iprox.cn/page/project.html?id=IPX0003098000 on 12/10/21

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Pengyuan Yang

PROVIDER: MSV000088554 | MassIVE | Mon Dec 13 11:34:00 GMT 2021

SECONDARY ACCESSION(S): PXD026440

REPOSITORIES: MassIVE

ACCESS DATA

Publications

A Multi-Omics Study of Human Testis and Epididymis.

Zheng Weimin W Zhang Yang Y Sun Chuanyu C Ge Shengyang S Tan Yifan Y Shen Huali H Yang Pengyuan P

Molecules (Basel, Switzerland) 20210602 11

The human testis and epididymis play critical roles in male fertility, including the spermatogenesis process, sperm storage, and maturation. However, the unique functions of the two organs had not been systematically studied. Herein, we provide a systematic and comprehensive multi-omics study between testis and epididymis. RNA-Seq profiling detected and quantified 19,653 in the testis and 18,407 in the epididymis. Proteomic profiling resulted in the identification of a total of 11,024 and 10,386 ...[more]

PMID: 34199411

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Project description:The Cancer Genome Atlas (TCGA) is a comprehensive and coordinated effort to accelerate our understanding of the molecular basis of cancer through the application of genome analysis technologies, including large-scale genome sequencing. TCGA is a joint effort of the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI), which are both part of the National Institutes of Health, U.S. Department of Health and Human Services. TCGA projects are organized by cancer type or subtype. Click <a href="http://cancergenome.nih.gov/cancersselected" target="_blank">here</a> for a current list of cancer types selected for study in TCGA. Data from TCGA (e.g., gene expression, copy number variation and clinical information), are available via the <a href="https://tcga-data.nci.nih.gov/tcga/" target="_blank">TCGA Data Portal</a>, EXCEPT for the genomic sequence data (.bam files), which are hosted at the <a href="https://cghub.ucsc.edu/" target="_blank">Cancer Genomics Hub (CGHub)</a>. Data from TCGA projects are organized into two tiers: Open Access and Controlled Access. <ul> <li>Open Access data tier contains data that cannot be attributed to an individual research participant. The Open Access data tier does not require user certification. Data in Open Access tier are available in the TCGA Data Portal.</li> <li>Controlled Access data tier contains individual-level genotype data that are unique to an individual. Access to data in the Controlled Access data tier requires user certification through <a href="https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?login=&page=login" target="_blank">dbGaP Authorized Access</a>.</li> <li>Controlled Access data types consist of the following: <ul> <li>Individual germline variant data (SNP .cel files)</li> <li>Primary sequence data (.bam files), which are available at CGHub</li> <li>Clinical free text fields</li> <li>Exon Array files (for Glioblastoma and Ovarian projects only)</li> </ul> </li> </ul> NOTE: TCGA strives to release most data in the open access tier. Individual genotype or sequence files are prominent exceptions. Commonly requested files such as descriptions of somatic mutations or clinical data are open access. The TCGA study is utilized in the following dbGaP substudies. To view genotypes and other molecular data collected in these substudies, please click on the following substudies below or in the "Substudies" box located on the right hand side of this top-level study page phs000178 TCGA study. <ul> <li><a href="./study.cgi?study_id=phs000441">phs000441</a> Integrated Genomic Analyses of Ovarian Carcinoma (OV)</li> <li><a href="./study.cgi?study_id=phs000489">phs000489</a> Comprehensive Genomic Characterization Defines Human Glioblastoma Genes and Core Pathways</li> </ul>

Dataset Information

A Comparative Study of Human Testes and Epididymis through the Proteomics and RNA-seq Methods

Publications

A Multi-Omics Study of Human Testis and Epididymis.

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