Evidence map›Paper›PMID 33783607›Full record

ArticleCell and tissue research2021

Deciphering the complexity of sperm transcriptome reveals genes governing functional membrane and acrosome integrities potentially influence fertility.

Sellappan Selvaraju, Laxman Ramya, Sivashanmugam Parthipan, Divakar Swathi, Bala Krishnan Binsila, Atul P Kolte

Abstract read
PubMed Publisher
In one paragraph

Article in Cell and tissue research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Roles of Y-27632 on sheep sperm metabolism.Journal of animal science · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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

6 authors at 1 institution in 1 country.

Sellappan SelvarajuReproductive Physiology Laboratory, Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bengaluru, 560030, India. Selvaraju.S@icar.gov.in.ORCID http://orcid.org/0000-0001-5516-238X
Laxman RamyaReproductive Physiology Laboratory, Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bengaluru, 560030, India.
Sivashanmugam ParthipanReproductive Physiology Laboratory, Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bengaluru, 560030, India.
Divakar SwathiReproductive Physiology Laboratory, Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bengaluru, 560030, India.
Bala Krishnan BinsilaReproductive Physiology Laboratory, Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bengaluru, 560030, India.
Atul P KolteOmics Laboratory, Animal Nutrition Division, ICAR-National Institute of Animal Nutrition and Physiology, Adugodi, Bengaluru, 560030, India.
National Institute of Animal Nutrition and Physiology · IN

Funding

Department of Biotechnology , Ministry of Science and Technology PR 3587Indian Council of Agricultural Research ICAR-National Fellow
6 · The paper itself

Abstract

Deciphering sperm transcriptome is the key to understanding the molecular mechanisms governing peri-fertilization, embryonic development, and pregnancy establishment. This study aimed to profile sperm transcriptome to identify signature transcripts regulating male fertility. Semen samples were collected from 47 bulls with varied fertility rates. The sperm total RNA was isolated (n = 8) and subjected to transcriptome sequencing. Based on the expression pattern obtained from RNA profiling, the bulls were grouped (p = 0.03) into high-fertile and sub-fertile, and signature transcripts controlling sperm functions and fertility were identified. The results were validated using the OMIM database, qPCR, and sperm function tests. The sperm contains 1100 to 1700 intact transcripts, of which BCL2L11 and CAPZA3 were abundant and associated (p < 0.05) with spermatogenesis and post-embryonic organ morphogenesis. The upregulated genes in the acrosome integrity and functional membrane integrity groups had a close association with the fertility rate. The biological functions of these upregulated genes (p < 0.05) in the high-fertile bulls were associated with spermatogenesis (AFF4 and BRIP1), sperm motility (AK6 and ATP6V1G3), capacitation and zona binding (AGFG1), embryo development (TCF7 and AKIRIN2), and placental development (KRT19). The transcripts involved in pathways regulating embryonic development such as translation (EEF1B2 and MTIF3, p = 8.87E-05) and nonsense-mediated decay (RPL23 and RPL7A, p = 5.01E-27) were upregulated in high-fertile bulls. The identified transcripts may significantly impact oocyte function, embryogenesis, trophectoderm development, and pregnancy establishment. In addition, the study also reveals that the genes governing sperm functional membrane integrity and acrosome integrity have a prospective effect on male fertility.

Indexed as

AcrosomeAnimalsCattleFertilityMaleSpermatozoaTranscriptomeBovineDifferentially expressed transcriptsFertility regulationSemen qualityTranscripts profiling

Identifiers

PMID33783607
OpenAlexW3145595954

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.