Evidence map›Paper›PMID 36359078›Full record

ReviewAnimals : an open access journal from MDPI2022

Sperm Transcriptome Analysis Accurately Reveals Male Fertility Potential in Livestock.

Rhesti Indriastuti, Berlin Pandapotan Pardede, Asep Gunawan, Mokhamad Fakhrul Ulum, Raden Iis Arifiantini, Bambang Purwantara

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Assessing Bovine Male Fertility in a Technological Age.Advances in anatomy, embryology, and cell biology · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Sperm long non-coding RNAs as markers for ram fertility.Frontiers in veterinary science · 2024
    Article
  14. Article
  15. Article
  16. 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

6 authors at 1 institution in 1 country.

Rhesti IndriastutiReproductive Biology Study Program, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.
Berlin Pandapotan PardedeDepartment of Veterinary Clinic, Reproduction, and Pathology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.ORCID 0000-0003-3786-2432
Asep GunawanDepartment of Animal Production and Technology, Faculty of Animal Science, IPB University, Bogor 16680, Indonesia.
Mokhamad Fakhrul UlumDepartment of Veterinary Clinic, Reproduction, and Pathology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.ORCID 0000-0003-2092-9645
Raden Iis ArifiantiniDepartment of Veterinary Clinic, Reproduction, and Pathology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.ORCID 0000-0002-7478-9433
Bambang PurwantaraDepartment of Veterinary Clinic, Reproduction, and Pathology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.
IPB University · ID

Funding

Indonesian Ministry of Education, Culture, Research, and Technology The Applied Research grants number 3708/IT3.L1/ PT.01.01/M/B/2022 and the PMDSU grant number 1/E1/KP.PTNBH/2021
6 · The paper itself

Abstract

Nowadays, selection of superior male candidates in livestock as a source of frozen semen based on sperm quality at the cellular level is not considered accurate enough for predicting the potential of male fertility. Sperm transcriptome analysis approaches, such as messenger RNA levels, have been shown to correlate with fertility rates. Using this technology in livestock growth has become the principal method, which can be widely applied to predict male fertility potential in the livestock industry through the analysis of the sperm transcriptome. It provides the gene expression to validate the function of sperm in spermatogenesis, fertilization, and embryo development, as the parameters of male fertility. This review proposes a transcriptomic analysis approach as a high-throughput method to predict the fertility potential of livestock more accurately in the future.

Indexed as

livestockmale fertilitysperm transcriptometranscriptomic analysis

Identifiers

PMID36359078
PMCPMC9657999
OpenAlexW4307630846

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.