Evidence map›Paper›PMID 37858133›Full record

ArticleBMC biology2023

Single-nucleus transcriptome inventory of giant panda reveals cellular basis for fitness optimization under low metabolism.

Shangchen Yang, Tianming Lan, Rongping Wei, Ling Zhang, Lin Lin, Hanyu Du, Yunting Huang, Guiquan Zhang, Shan Huang, Minhui Shi and 15 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

25 authors at 7 institutions in 2 countries.

Shangchen Yang *MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Tianming Lan *State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Rongping Wei *Key Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Dujiangyan, 611830, China.
Ling Zhang *China Wildlife Conservation Association, Beijing, 100714, China.
Lin Lin *Department of Biomedicine, Aarhus University, 8000, Aarhus, Denmark.
Hanyu Du *MOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Yunting HuangChina National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.
Guiquan ZhangKey Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Dujiangyan, 611830, China.
Shan HuangKey Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Dujiangyan, 611830, China.
Minhui ShiState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Chengdong WangKey Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Dujiangyan, 611830, China.
Qing WangState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Rengui LiKey Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Dujiangyan, 611830, China.
Lei HanCollege of Wildlife Resources, Northeast Forestry University, Harbin, 150040, China.
Dan TangKey Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Dujiangyan, 611830, China.
Haimeng LiState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China.
Hemin ZhangKey Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Dujiangyan, 611830, China.
Jie CuiThe Genome Synthesis and Editing Platform, BGI-Shenzhen, Shenzhen, 518120, China.
Haorong LuChina National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.
Jinrong HuangLars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, 266555, China.
Yonglun LuoDepartment of Biomedicine, Aarhus University, 8000, Aarhus, Denmark.
Desheng LiKey Laboratory of State Forestry and Grassland Administration (State Park Administration) on Conservation Biology of Rare Animals in the Giant Panda National Park, China Conservation and Research Center for the Giant Panda, Dujiangyan, 611830, China. 1050133153@qq.com.
Qiu-Hong WanMOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China. qiuhongwan@zju.edu.cn.
Huan LiuState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China. liuhuan@genomics.cn.
Sheng-Guo FangMOE Key Laboratory of Biosystems Homeostasis & Protection, State Conservation Centre for Gene Resources of Endangered Wildlife, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China. sgfanglab@zju.edu.cn.ORCID http://orcid.org/0000-0003-2051-2516
Chengdu Research Base of Giant Panda Breeding · CNBGI Group (China) · CNZhejiang Museum of Natural History · CNUniversity of Chinese Academy of Sciences · CNNortheast Forestry University · CNSteno Diabetes Centers · DKChina National GeneBank · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnergy homeostasis is essential for the adaptation of animals to their environment and some wild animals keep low metabolism adaptive to their low-nutrient dietary supply. Giant panda is such a typical low-metabolic mammal exhibiting species specialization of extremely low daily energy expenditure. It has low levels of basal metabolic rate, thyroid hormone, and physical activities, whereas the cellular bases of its low metabolic adaptation remain rarely explored.

resultsIn this study, we generate a single-nucleus transcriptome atlas of 21 organs/tissues from a female giant panda. We focused on the central metabolic organ (liver) and dissected cellular metabolic status by cross-species comparison. Adaptive expression mode (i.e., AMPK related) was prominently displayed in the hepatocyte of giant panda. In the highest energy-consuming organ, the heart, we found a possibly optimized utilization of fatty acid. Detailed cell subtype annotation of endothelial cells showed the uterine-specific deficiency of blood vascular subclasses, indicating a potential adaptation for a low reproductive energy expenditure.

conclusionsOur findings shed light on the possible cellular basis and transcriptomic regulatory clues for the low metabolism in giant pandas and helped to understand physiological adaptation response to nutrient stress.

Indexed as

UrsidaeAnimalsAnimals, WildEndothelial CellsExerciseFemaleTranscriptomeAdaptationEnergy homeostasisGiant pandaLow metabolismSingle-nucleus transcriptome atlas

Identifiers

PMID37858133
PMCPMC10588165
OpenAlexW4387768821

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.