Evidence map›Paper›PMID 33673460›Full record

ArticleAnimals : an open access journal from MDPI2021

Dissecting the Gene Expression Networks Associated with Variations in the Major Components of the Fatty Acid

Martina Zappaterra, Silvia Gioiosa, Giovanni Chillemi, Paolo Zambonelli, Roberta Davoli

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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

5 authors at 2 institutions in 1 country.

Martina ZappaterraDepartment of Agricultural and Food Sciences (DISTAL), University of Bologna, Viale Fanin 46, I-40127 Bologna, Italy.
Silvia GioiosaCINECA SuperComputing Applications and Innovation Department (SCAI), Via dei Tizii 6, I-00185 Roma, Italy.
Giovanni ChillemiDipartimento per la Innovazione nei sistemi Biologici, Agroalimentari e Forestali (DIBAF), La Tuscia University of Viterbo, Via S. Camillo de Lellis, I-01100 Viterbo, Italy.ORCID 0000-0003-3901-6926
Paolo ZambonelliDepartment of Agricultural and Food Sciences (DISTAL), University of Bologna, Viale Fanin 46, I-40127 Bologna, Italy.ORCID 0000-0002-2532-5528
Roberta DavoliDepartment of Agricultural and Food Sciences (DISTAL), University of Bologna, Viale Fanin 46, I-40127 Bologna, Italy.ORCID 0000-0003-4600-8326
University of Bologna · ITUniversità degli Studi della Tuscia · IT

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca PRIN2015. No. 201549TZXB001
6 · The paper itself

Abstract

To date, high-throughput technology such as RNA-sequencing has been successfully applied in livestock sciences to investigate molecular networks involved in complex traits, such as meat quality. Pork quality depends on several organoleptic, technological, and nutritional characteristics, and it is also influenced by the fatty acid (FA) composition of intramuscular fat (IMF). To explore the molecular networks associated with different IMF FA compositions, the

Indexed as

co-expression networkfatintramuscular fatmeatmRNAmuscle acidic compositionporkRNA sequencingswineWGCNA

Identifiers

PMID33673460
PMCPMC7997476
OpenAlexW3134385511

What Socratic 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 Socratic graph.