Evidence map›Paper›PMID 40287506›Full record

ArticleScientific reports2025

Comparative transcriptome analysis of bull X- and Y-spermatozoa.

Sofi Imran Ul Umar, Sushil Prasad, Soumen Naskar, Pranab Jyoti Das, Mridula Sharma, Arunava Pattanayak, Dhanu Kumar Murasing, Vijai Pal Bhadana, Sujay Rakshit

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sofi Imran Ul UmarICAR-Indian Institute of Agricultural Biotechnology, Garhkhatanga, Ranchi, 834003, India.
Sushil PrasadBirsa Agricultural University, Kanke, Ranchi, 834006, India.
Soumen NaskarICAR-Indian Institute of Agricultural Biotechnology, Garhkhatanga, Ranchi, 834003, India. snrana@gmail.com.
Pranab Jyoti DasICAR-National Research Centre on Pig, Rani, Guwahati, 781131, India.
Mridula SharmaG. B. Pant University of Agriculture and Technology, Pantnagar, 263145, India.
Arunava PattanayakICAR-Indian Institute of Agricultural Biotechnology, Garhkhatanga, Ranchi, 834003, India.
Dhanu Kumar MurasingICAR-Indian Institute of Agricultural Biotechnology, Garhkhatanga, Ranchi, 834003, India.
Vijai Pal BhadanaICAR-Indian Institute of Agricultural Biotechnology, Garhkhatanga, Ranchi, 834003, India.
Sujay RakshitICAR-Indian Institute of Agricultural Biotechnology, Garhkhatanga, Ranchi, 834003, India.

Funding

Indian Council of Agricultural Research 068/S/IPPScience and Engineering Research Board 2019/000437Science and Engineering Research Board 2023/000377
6 · The paper itself

Abstract

Sex-sorted bovine semen is a major breakthrough in the dairy sector. The current flow cytometer-based technology for sex-sorting of bovine semen is proprietary, slow, expensive, and associated with lower conception rates. Therefore, developing alternative technologies is crucial for advancing milk production globally through use of sexed semen. However, lack of a comprehensive omics dataset hinders the ability to comprehend significant differences between the sorted sperm types and develop robust biomarkers for sex-sorting. Here, we reported the RNA-Seq analysis of unsorted, X- and Y-sperm in Bos indicus cattle. The differential gene expression analysis revealed significant upregulation of 47 genes in bovine Y-sperm and downregulation of 20 genes in comparison to X-sperm (adjusted p value < 0.05). Sixteen percent of the transcripts were unique to X-sperm, whereas 20.7% were unique to Y-sperm. The top 22 differentially expressed genes (DEGs) were validated using qPCR. A significant up- or down-regulation was detected in 21 of the 22 genes when comparing bovine Y-sperm to X-sperm (p < 0.01 and p < 0.05). The transcriptome dataset, the first in the league of bovine X- and Y-sperm, will aid in biomarker discovery for sex-sorting of bovine semen and improved fertility outcomes.

Indexed as

Gene Expression ProfilingSpermatozoaTranscriptomeX ChromosomeY ChromosomeAnimalsCattleMaleSex PreselectionDairyGene ontologyPathway enrichmentRNA-seqSex-sorted semen

Identifiers

PMID40287506
PMCPMC12033294

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.