Evidence map›Paper›PMID 30982893›Full record

ArticleJournal of animal science2019

GROWTH AND DEVELOPMENT SYMPOSIUM: STEM AND PROGENITOR CELLS IN ANIMAL GROWTH: The regulation of beef quality by resident progenitor cells1.

Xing Fu, Chaoyang Li, Qianglin Liu, Kenneth W McMillin

Open access · greenAbstract read
In one paragraph

Article in Journal of animal science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 1 country.

Xing FuSchool of Animal Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA.
Chaoyang LiSchool of Animal Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA.
Qianglin LiuSchool of Animal Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA.
Kenneth W McMillinSchool of Animal Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA.
Louisiana State University Agricultural Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intramuscular adipose tissue deposition in the skeletal muscle of beef cattle is a highly desired trait essential for high-quality beef. In contrast, the excessive accumulation of crosslinked collagen in intramuscular connective tissue contributes to beef toughness. Recent studies revealed that adipose tissue and connective tissue share an embryonic origin in mice and may be derived from a common immediate bipotent precursor in mice and humans. Having the same linkages in the development of adipose tissue and connective tissue in beef, the lineage commitment and differentiation of progenitor cells giving rise to these tissues may directly affect beef quality. It has been shown that these processes are regulated by some key transcription regulators and are subjective to epigenetic modifications such as DNA methylation, histone modifications, and microRNAs. Continued exploration of relevant regulatory pathways is very important for the identification of mechanisms influencing meat quality and the development of proper management strategies for beef quality improvement.

Indexed as

Adipose TissueAnimalsCattleCell DifferentiationCollagenConnective TissueHumansMicroRNAsMuscle, SkeletalRed MeatStem CellsCollagenMicroRNAsadipogenesisbeef qualityconnective tissuefibro/adipogenic progenitorsfibrogenesisintramuscular adipose tissue

Identifiers

PMID30982893
PMCPMC6541817
OpenAlexW2940166619

What OpenQuestion holds

Textmetadata
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.