Evidence map›Paper›PMID 31615399›Full record

ArticleBMC genomics2019

Identification of differentially expressed genes and pathways between intramuscular and abdominal fat-derived preadipocyte differentiation of chickens in vitro.

Meng Zhang, Fang Li, Xiang-Fei Ma, Wen-Ting Li, Rui-Rui Jiang, Rui-Li Han, Guo-Xi Li, Yan-Bin Wang, Zi-Yi Li, Ya-Dong Tian and 2 more

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. DNA methylation in poultry: a review.Journal of animal science and biotechnology · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

12 authors.

Meng ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Fang LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Xiang-Fei MaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Wen-Ting LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Rui-Rui JiangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Rui-Li HanCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Guo-Xi LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Yan-Bin WangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Zi-Yi LiThe First Hospital, Jilin University, Changchun, 130021, Jilin, China.
Ya-Dong TianCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Xiang-Tao KangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China.
Gui-Rong SunCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, China. grsun2000@126.com.ORCID http://orcid.org/0000-0002-2141-913X

Funding

China Agriculture Research System CARS-40-K04Key Science and Technology Research Project of Henan Province 151100110800National Natural Science Foundation of China 31501948National Natural Science Foundation of China 31572356Program for Innovation Research Team of Ministry of Education IRT16R23Research on the Foundation and Frontier Technology of Henan Science and Technology Department 162300410162
6 · The paper itself

Abstract

backgroundThe distribution and deposition of fat tissue in different parts of the body are the key factors affecting the carcass quality and meat flavour of chickens. Intramuscular fat (IMF) content is an important factor associated with meat quality, while abdominal fat (AbF) is regarded as one of the main factors affecting poultry slaughter efficiency. To investigate the differentially expressed genes (DEGs) and molecular regulatory mechanisms related to adipogenic differentiation between IMF- and AbF-derived preadipocytes, we analysed the mRNA expression profiles in preadipocytes (0d, Pre-) and adipocytes (10d, Ad-) from IMF and AbF of Gushi chickens.

resultsAbF-derived preadipocytes exhibited a higher adipogenic differentiation ability (96.4% + 0.6) than IMF-derived preadipocytes (86.0% + 0.4) (p < 0.01). By Ribo-Zero RNA sequencing, we obtained 4403 (2055 upregulated and 2348 downregulated) and 4693 (2797 upregulated and 1896 downregulated) DEGs between preadipocytes and adipocytes in the IMF and Ad groups, respectively. For IMF-derived preadipocyte differentiation, pathways related to the PPAR signalling pathway, ECM-receptor interaction and focal adhesion pathway were significantly enriched. For AbF-derived preadipocyte differentiation, the steroid biosynthesis pathways, calcium signaling pathway and ECM-receptor interaction pathway were significantly enriched. A large number of DEGs related to lipid metabolism, fatty acid metabolism and preadipocyte differentiation, such as PPARG, ACSBG2, FABP4, FASN, APOA1 and INSIG1, were identified in our study.

conclusionThis study revealed large transcriptomic differences between IMF- and AbF-derived preadipocyte differentiation. A large number of DEGs and transcription factors that were closely related to fatty acid metabolism, lipid metabolism and preadipocyte differentiation were identified in the present study. Additionally, the microenvironment of IMF- and AbF-derived preadipocyte may play a significant role in adipogenic differentiation. This study provides valuable evidence to understand the molecular mechanisms underlying adipogenesis and fat deposition in chickens.

Indexed as

AdipogenesisGene Regulatory NetworksAbdominal FatAdipocytesAnimalsCell DifferentiationChickensGene Expression ProfilingLipid MetabolismMusclesSequence Analysis, RNAAbdominal fatAdipocyte differentiationChickensIntramuscular fatTranscriptome

Identifiers

PMID31615399
PMCPMC6794883

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.