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PXD039703

PXD039703 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomic landscape of human spermatozoa in patients with different spermatogenic impairments
DescriptionInfertility is a widespread problem, affecting around 15% of couples worldwide, and is defined as the inability to achieve pregnancy within one year despite unprotected intercourse 1. Infertility can be caused by either male or female reproductive issues. Various medical conditions including malignancies, infections, urogenital conditions, or genetic causes can contribute to male infertility. However, 30-40% of men in their reproductive age are affected by idiopathic infertility, according to the guidelines of European Association of Urology (EAU) 1. Towards a better understanding of male infertility, it is mandatory to achieve a comprehensive understanding of involved genes, their RNA transcripts, and regulatory factors, including miRNAs, which influence the expression level of proteins. Therefore, such proteins need to be identified to investigate their role in spermatogenesis and male infertility. Although there are numerous studies on RNAs, including miRNAs related to male infertility 2-9, there are few studies aiming to cover the whole proteome of human sperm 10. The sperm transcriptome comprises a total of 60,505 transcripts including 11,688 differentially expressed transcripts in infertile and fertile men, as reported by Joshi et al. (2022)11. The entire sperm proteome encompasses 6871 proteins, as summarized by Castillo et al. (2018)10. Nevertheless, there is still a lack of high-throughput studies aiming to identify dysregulated proteins in sperm from subfertile men. Only few studies focused on comparisons of the sperm proteome in men with asthenozoospermia and there is virtually no proteomic studies of oligoasthenozoospermic men 12. Some identified proteins in sperm have functions in maintaining sperm motility and enabling fertilization and are involved in structural composition and/or energy metabolism 12-14 and others are not yet functionally characterized. In this study, we employed Mass spectrometry (MS) technology that is still rarely used in the field of human reproductive research to investigate the proteomic landscape of human sperm and their differential expression patterns in men with subfertility.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:47:55.705.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMarkus Räschle
SpeciesList scientific name: Escherichia coli; NCBI TaxID: 562; scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-01-27 10:49:52ID requested
12023-05-10 16:01:59announced
22023-11-14 08:47:59announced2023-11-14: Updated project metadata.
Publication List
Becker LS, Al Smadi MA, Raeschle M, Rishik S, Abdul-Khaliq H, Meese E, Abu-Halima M, Proteomic Landscape of Human Sperm in Patients with Different Spermatogenic Impairments. Cells, 12(7):(2023) [pubmed]
Keyword List
submitter keyword: sperm, infertility
Contact List
Markus Räschle
contact affiliationMolecular Genetics, RPTU Kaiserslautern, Germany
contact emailraeschle@rhrk.uni-kl.de
lab head
Markus Räschle
contact affiliationTechnical University Kaiserslautern
contact emailraeschle@rhrk.uni-kl.de
dataset submitter
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Dataset FTP location
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PRIDE project URI
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