Evidence map›Paper›PMID 33092100›Full record

ArticleGenes2020

Comparative Transcriptome Profiling of Skeletal Muscle from Black Muscovy Duck at Different Growth Stages Using RNA-seq.

Zhigang Hu, Junting Cao, Guangyu Liu, Huilin Zhang, Xiaolin Liu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. 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
3.4field-weighted citation impact, top 6% 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, 32 citations in OpenAlex.

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  10. Genes · 2022
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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

5 authors at 1 institution in 1 country.

Zhigang HuCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Junting CaoCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Guangyu LiuCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Huilin ZhangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Xiaolin LiuCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
Northwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In China, the production for duck meat is second only to that of chicken, and the demand for duck meat is also increasing. However, there is still unclear on the internal mechanism of regulating skeletal muscle growth and development in duck. This study aimed to identity candidate genes related to growth of duck skeletal muscle and explore the potential regulatory mechanism. RNA-seq technology was used to compare the transcriptome of skeletal muscles in black Muscovy ducks at different developmental stages (day 17, 21, 27, 31, and 34 of embryos and postnatal 6-month-olds). The SNPs and InDels of black Muscovy ducks at different growth stages were mainly in "INTRON", "SYNONYMOUS_CODING", "UTR_3_PRIME", and "DOWNSTREAM". The average number of AS in each sample was 37,267, mainly concentrated in TSS and TTS. Besides, a total of 19 to 5377 DEGs were detected in each pairwise comparison. Functional analysis showed that the DEGs were mainly involved in the processes of cell growth, muscle development, and cellular activities (junction, migration, assembly, differentiation, and proliferation). Many of DEGs were well known to be related to growth of skeletal muscle in black Muscovy duck, such as

Indexed as

Gene Expression Regulation, DevelopmentalMuscle DevelopmentTranscriptomeAnimalsDucksGene Expression ProfilingMuscle ProteinsMuscle, SkeletalRNA-SeqMuscle Proteinsduckgene expressiongrowth stageskeletal muscletranscriptome

Identifiers

PMID33092100
PMCPMC7590229
OpenAlexW3094199798

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.