PXD039680

PXD039680 is an original dataset announced via ProteomeXchange.

Title	Identification of protein candidates in spermatozoa of water buffalo (Bubalus bubalis) bulls helps in predicting their fertility status
Description	Abstract The water buffalo (Bubalus bubalis) is an indispensable part of the Indian dairy sector and in several instances, the farmers incur economic losses due to failed pregnancy after artificial insemination (AI). One of the key factors for the failure of conception is the use of semen from the bulls of low fertilizing potential and hence, it becomes important to predict the fertility status before performing AI. In this study, the global proteomic profile of high fertile (HF) and low fertile (LF) buffalo bull spermatozoa was established using a high-throughput LC-MS/MS technique. A total of 1385 proteins (≥ 1 high-quality PSM/s, ≥ 1 unique peptides, P < 0.05, FDR < 0.01) were identified out of which, 1002 were common between both the HF and LF groups while 288 and 95 proteins were unique to HF and LF groups respectively. We observed 211 and 342 significantly upregulated (log Fc ≥2) and downregulated in HF (log Fc ≤0.5) spermatozoa (p <0.05). Gene ontology analysis revealed that the fertility associated upregulated proteins were involved in spermatogenesis, sperm motility, acrosome integrity, zona pellucida binding and other associated sperm functions. Besides this, the downregulated proteins were involved in glycolysis, fatty acid degradation and inflammation. Furthermore, fertility related differentially abundant proteins (DAPs) on sperm viz., AKAP3, Sp17 and DLD were validated through Western blotting and immunocytochemistry which was in coherence with the LC-MS/MS data. The DAPs identified in this study may be used as potential protein candidates for predicting fertility in buffaloes. Our findings provide an opportunity in mitigating the economic losses that farmers incur due to male infertility.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:47:28.067.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Seema Karanwal
SpeciesList	scientific name: Bos taurus (Bovine); NCBI TaxID: 9913;
ModificationList	acetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2023-01-26 01:29:41	ID requested
1	2023-05-10 14:16:15	announced
⏵ 2	2023-11-14 08:47:31	announced	2023-11-14: Updated project metadata.

Karanwal S, Pal A, Chera JS, Batra V, Kumaresan A, Datta TK, Kumar R, ) bulls helps in predicting their fertility status. Front Cell Dev Biol, 11():1119220(2023) [pubmed]

submitter keyword: Spermatozoa, Fertility, Proteomics, Conception rate, Differentially abundant proteins

Dr Rakesh Kumar
contact affiliation	Principal Scientist ICAR-National Dairy Research Institute
contact email	rakeshcift@gmail.com
lab head
Seema Karanwal
contact affiliation	National Dairy Research Institute
contact email	seemak.biotech@gmail.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD039680
     1. Label: PRIDE project
     2. Name: Identification of protein candidates in spermatozoa of water buffalo (Bubalus bubalis) bulls helps in predicting their fertility status