Evidence map›Paper›PMID 40937325›Full record

ArticleBiochemistry and biophysics reports2025

Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data.

Mahdi Rahmatzadeh, Reza Shokri-Gharelo, Morteza Derakhti-Dizaji, Asghar Bazzaz, Bizhan Mahmoudi

Abstract read
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In one paragraph

Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mahdi RahmatzadehDepartment of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.
Reza Shokri-GhareloSugar Beet Seed Institute (SBSI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Morteza Derakhti-DizajiDepartment of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Asghar BazzazDepartment of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.
Bizhan MahmoudiDepartment of Animal Science, Agricultural Sciences and Natural Resources University of Khuzestan, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Milk yield is most important economic trait in dairy cows and understanding molecular basis and components involved in high-yield production is one of crucial steps to develop and select new breeds. In this study, we used combination of two statistical methods based on the

Indexed as

AffymetrixDairy cowDifferentially expressed genesGene networkHub genesWeighted gene co-expression network

Identifiers

PMID40937325
PMCPMC12420518

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.