Evidence map›Paper›PMID 31477016›Full record

ArticleBMC genomics2019

Dynamics of transcriptome changes during subcutaneous preadipocyte differentiation in ducks.

Zheng Wang, Zhong-Tao Yin, Fan Zhang, Xiao-Qin Li, Si-Rui Chen, Ning Yang, Tom E Porter, Zhuocheng Hou

Open access · goldAbstract read
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Animals : an open access journal from MDPI · 2024
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  6. A novel candidate gene CLN8 regulates fat deposition in avian.Journal of animal science and biotechnology · 2023
    Article
  7. Article
  8. Article
  9. MYOD1 inhibits avian adipocyte differentiation via miRNA-206/KLF4 axis.Journal of animal science and biotechnology · 2021
    Article
  10. Article
  11. Article
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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

8 authors at 2 institutions in 2 countries.

Zheng WangNational Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; Department of Animal Genetics and Breeding, China Agricultural University, Beijing, 100193, China.
Zhong-Tao YinNational Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; Department of Animal Genetics and Breeding, China Agricultural University, Beijing, 100193, China.
Fan ZhangNational Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; Department of Animal Genetics and Breeding, China Agricultural University, Beijing, 100193, China.
Xiao-Qin LiNational Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; Department of Animal Genetics and Breeding, China Agricultural University, Beijing, 100193, China.
Si-Rui ChenNational Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; Department of Animal Genetics and Breeding, China Agricultural University, Beijing, 100193, China.
Ning YangNational Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; Department of Animal Genetics and Breeding, China Agricultural University, Beijing, 100193, China.
Tom E PorterDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
Zhuocheng HouNational Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA; Department of Animal Genetics and Breeding, China Agricultural University, Beijing, 100193, China. zchou@cau.edu.cn.ORCID http://orcid.org/0000-0003-4752-2255
China Agricultural University · CNUniversity of Maryland, College Park · US

Funding

National Natural Science Foundation of China 31572388National Scientific Supporting Projects of China 2015BAD03B06National Water fowl-Industry Technology Research System CARS-42-09Primary Research & Development Plan of Jiangsu Province BE2017349Program for Changjiang Scholar and Innovation Research Team in University IRT1191
6 · The paper itself

Abstract

backgroundPekin duck is an important animal model for its ability for fat synthesis and deposition. However, transcriptional dynamic regulation of adipose differentiation driven by complex signal cascades remains largely unexplored in this model. This study aimed to explore adipogenic transcriptional dynamics before (proliferation) and after (differentiation) initial preadipocyte differentiation in ducks.

resultsExogenous oleic acid alone successfully induced duck subcutaneous preadipocyte differentiation. We explored 36 mRNA-seq libraries in order to study transcriptome dynamics during proliferation and differentiation processes at 6 time points. Using robust statistical analysis, we identified 845, 652, 359, 2401 and 1933 genes differentially expressed between -48 h and 0 h, 0 h and 12 h, 12 h and 24 h, 24 h and 48 h, 48 h and 72 h, respectively (FDR < 0.05, FC > 1.5). At the proliferation stage, proliferation related pathways and basic cellular and metabolic processes were inhibited, while regulatory factors that initiate differentiation enter the ready-to-activate state, which provides a precondition for initiating adipose differentiation. According to weighted gene co-expression network analysis, pathways positively related to adipogenic differentiation are significantly activated at the differentiation stage, while WNT, FOXO and other pathways that inhibit preadipocyte differentiation are negatively regulated. Moreover, we identified and classified more than 100 transcription factors that showed significant changes during differentiation, and found novel transcription factors that were not reported to be related to preadipoctye differentiation. Finally, we manually assembled a proposed regulation network model of subcutaneous preadipocyte differentiation base on the expression data, and suggested that E2F1 may serve as an important link between the processes of duck subcutaneous preadipocyte proliferation and differentiation.

conclusionsFor the first time we comprehensively analyzed the transcriptome dynamics of duck subcutaneous preadipocyte proliferation and differentiation. The current study provides a solid basis for understanding the synthesis and deposition of subcutaneous fat in ducks. Furthermore, the information generated will allow future investigations of specific genes involved in particular stages of duck adipogenesis.

Indexed as

AdipocytesAdipogenesisAnimalsCell DifferentiationDucksE2F1 Transcription FactorForkhead Box Protein O1Gene OntologyGene Regulatory NetworksOleic AcidTranscriptomeWnt ProteinsE2F1 Transcription FactorForkhead Box Protein O1Oleic AcidWnt ProteinsPekin duckPreadipocyte differentiationRegulation network modelSubcutaneous fatTranscription factorsTranscriptome

Identifiers

PMID31477016
PMCPMC6720933
OpenAlexW2971548518

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.