Evidence map›Paper›PMID 33361640›Full record

ArticleJournal of genetics2020

Characterizing miRNA and mse-tsRNA in fertile and subfertile yak bull spermatozoa from Arunachal Pradesh.

Partha Pratim Das, Safeeda Sultana Begum, Manasee Choudhury, Dinamani Medhi, Vijay Paul, Pranab Jyoti Das

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Article in Journal of genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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 2 institutions in 1 country.

Partha Pratim DasGauhati University, Guwahati 781 014, India. drpranabjyotidas@gmail.com.
Safeeda Sultana Begum
Manasee Choudhury
Dinamani Medhi
Vijay Paul
Pranab Jyoti Das
Indian Council of Agricultural Research · INGauhati University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Male fertility in farm animals is considered as an important economic trait. The phenomenon of spermatogenesis plays a dynamic functional role in determining the viability of sperm and thereby can impact on fertility-driven complications. The process of spermatogenesis is controlled by numerous molecular factors and requires a precisely regulated pattern of gene expression. The role of small noncoding RNAs in altering gene expression has been extensively studied. However, limited information is available apropos their role in yak spermatogenesis. The present study aimed to evaluate the assessment of some significant microRNAs and their expression pattern in the body tissues and sperm of fertile and subfertile yak from Arunachal Pradesh besides identified a novel class of sperm enriched small RNA 'mature-sperm-enriched small RNA' (mse-tsRNA) in Yak spermatozoa. The RNAwas extracted from tissue and sperm using 27 gauge needles and subsequently reverse transcribed into small RNA cDNAs. The PCR positive sperm-predominant miRNAs were validated by quantitative reverse transcriptase PCR (qRT-PCR) for their expression in fertile and subfertile yak. Of the 22 microRNAs, the miRNA19a, miRNA142 and miRNA143 showed higher expression in the subfertile yak, whereas expression of miRNA7d, miRNA23a and miRNA23b were found elevated in the fertile animal. The presence of these small noncoding RNAs in yak sperm and testis indicated the legitimate involvement of their role in yak bull fertility.

Indexed as

EjaculationAnimalsCattleFertilityGene Expression ProfilingGene Expression RegulationIndiaMaleMicroRNAsRNA, Small UntranslatedSemenSpermatozoaMicroRNAsRNA, Small Untranslated

Identifiers

PMID33361640
OpenAlexW3109010619

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.