Evidence map›Paper›PMID 37438471›Full record

ArticleScientific data2023

Transcriptomic and lipidomic profiling of subcutaneous and visceral adipose tissues in 15 vertebrates.

Pengliang Liu, Diyan Li, Jiaman Zhang, Mengnan He, Yan Li, Rui Liu, Mingzhou Li

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. 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

7 authors.

Pengliang Liu *School of Pharmacy, Chengdu University, Chengdu, 610106, China.
Diyan Li *School of Pharmacy, Chengdu University, Chengdu, 610106, China. lidiyan@cdu.edu.cn.
Jiaman ZhangLivestock and Poultry Multi-omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.ORCID 0009-0002-7933-7417
Mengnan HeChengdu Research Base of Giant Panda Breeding, Chengdu, 611081, China.
Yan LiChengdu Research Base of Giant Panda Breeding, Chengdu, 611081, China.
Rui LiuLivestock and Poultry Multi-omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Mingzhou LiLivestock and Poultry Multi-omics Key Laboratory of Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China. mingzhou.li@sicau.edu.cn.ORCID 0000-0001-8681-7684

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32102507; 32225046; 32102512
6 · The paper itself

Abstract

The storage of lipids as energy in adipose tissue (AT) has been conserved over the course of evolution. However, substantial differences in ATs physiological activities were reported among species. Hence, establishing the mechanisms shaping evolutionarily divergence in ATs transcriptomes could provide a deeper understanding of AT regulation and its roles in obesity-related diseases. While previous studies performed anatomical, physiological and morphological comparisons between ATs across different species, little is currently understood at the molecular phenotypic levels. Here, we characterized transcriptional and lipidomic profiles of available subcutaneous and visceral ATs samples across 15 vertebrate species, spanning more than 300 million years of evolution, including placental mammals, birds and reptiles. We provide detailed descriptions of the datasets produced in this study and report gene expression and lipid profiles across samples. We demonstrate these data are robust and reveal the AT transcriptome and lipidome vary greater among species than within the same species. These datasets may serve as a resource for future studies on the functional differences among ATs in vertebrate species.

Indexed as

LipidomicsTranscriptomeVertebratesAnimalsGene Expression ProfilingMammals

Identifiers

PMID37438471
PMCPMC10338492

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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.