Evidence map›Paper›PMID 34355036›Full record

ArticleFrontiers in veterinary science2021

A Combined Flow Cytometric Semen Analysis and miRNA Profiling as a Tool to Discriminate Between High- and Low-Fertility Bulls.

Federica Turri, Emanuele Capra, Barbara Lazzari, Paola Cremonesi, Alessandra Stella, Flavia Pizzi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  3. Current Applications and Future Prospects of High-ThroughputAnimals : an open access journal from MDPI · 2026
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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.

Federica TurriInstitute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Lodi, Italy.
Emanuele CapraInstitute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Lodi, Italy.
Barbara LazzariInstitute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Lodi, Italy.
Paola CremonesiInstitute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Lodi, Italy.
Alessandra StellaInstitute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Lodi, Italy.
Flavia PizziInstitute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Lodi, Italy.
Deleted InstitutionNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting bull fertility is one of the main challenges for the dairy breeding industry and artificial insemination (AI) centers. Semen evaluation performed in the AI center is not fully reliable to determine the level of bull fertility. Spermatozoa are rich in active miRNA. Specific sperm-borne miRNAs can be linked to fertility. The aim of our study is to propose a combined flow cytometric analysis and miRNA profiling of semen bulls with different fertility to identify markers that can be potentially used for the prediction of field fertility. Sperm functions were analyzed in frozen-thawed semen doses (CG: control group) and high-quality sperm (HQS) fraction collected from bulls with different field fertility levels (estimated relative conception rate or ERCR) by using advanced techniques, such as the computer-assisted semen analysis system, flow cytometry, and small RNA-sequencing. Fertility groups differ for total and progressive motility and in the abnormality degree of the chromatin structure (

Indexed as

bullfertilitymiRNAsemen qualitysequencingsperm

Identifiers

PMID34355036
PMCPMC8329915
OpenAlexW3190636163

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.