Evidence map›Paper›PMID 28718798›Full record

ArticleInternational journal of molecular sciences2017

Co-Expression Network and Pathway Analyses Reveal Important Modules of miRNAs Regulating Milk Yield and Component Traits.

Duy N Do, Pier-Luc Dudemaine, Ran Li, Eveline M Ibeagha-Awemu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Comparative analysis of microRNAs in bovine colostrum and neonatal calf blood.Journal of the science of food and agriculture · 2026
    Article
  3. Article
  4. Article
  5. MicroRNA-30a-3p Influences Milk Fat Metabolism by TargetingAnimals : an open access journal from MDPI · 2025
    Article
  6. Article
  7. Genetic analysis ofArchives animal breeding · 2025
    Article
  8. Codon Bias of theInternational journal of molecular sciences · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Synergistic Effects of Milk-Derived Exosomes and Galactose onInternational journal of molecular sciences · 2021
    Review
  19. Article
  20. MicroRNA Milk Exosomes: From Cellular Regulator to Genomic Marker.Animals : an open access journal from MDPI · 2020
    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

4 authors at 1 institution in 2 countries.

Duy N DoAgriculture and Agri-Food Canada, Sherbrooke Research and Development Centre, Sherbrooke, QC J1M 0C8, Canada. Do.DuyNgoc@agr.gc.ca.
Pier-Luc DudemaineAgriculture and Agri-Food Canada, Sherbrooke Research and Development Centre, Sherbrooke, QC J1M 0C8, Canada. pier-luc.dudemaine@agr.gc.ca.
Ran LiAgriculture and Agri-Food Canada, Sherbrooke Research and Development Centre, Sherbrooke, QC J1M 0C8, Canada. ran.li1986@hotmail.com.
Eveline M Ibeagha-AwemuAgriculture and Agri-Food Canada, Sherbrooke Research and Development Centre, Sherbrooke, QC J1M 0C8, Canada. eveline.ibeagha-awemu@agr.gc.ca.
Agriculture and Agri-Food Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-expression network analyses provide insights into the molecular interactions underlying complex traits and diseases. In this study, co-expression network analysis was performed to detect expression patterns (modules or clusters) of microRNAs (miRNAs) during lactation, and to identify miRNA regulatory mechanisms for milk yield and component traits (fat, protein, somatic cell count (SCC), lactose, and milk urea nitrogen (MUN)) via miRNA target gene enrichment analysis. miRNA expression (713 miRNAs), and milk yield and components (Fat%, Protein%, lactose, SCC, MUN) data of nine cows at each of six different time points (day 30 (D30), D70, D130, D170, D230 and D290) of an entire lactation curve were used. Four modules or clusters (GREEN, BLUE, RED and TURQUOISE) of miRNAs were identified as important for milk yield and component traits. The GREEN and BLUE modules were significantly correlated (|

Indexed as

Gene Expression RegulationGene Regulatory NetworksQuantitative Trait, HeritableAnimalsCattleFemaleGene OntologyLactationMicroRNAsMilkSignal TransductionTranscription FactorsMicroRNAsTranscription Factorsco-expression networkdairy cowshub geneslactationmicroRNAsignaling pathwaystranscription factors.

Identifiers

PMID28718798
PMCPMC5536048
OpenAlexW2739240877

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.