Evidence map›Paper›PMID 37709774›Full record

ArticleScientific data2023

A scATAC-seq atlas of chromatin accessibility in axolotl brain regions.

Weimin Feng, Shuai Liu, Qiuting Deng, Sulei Fu, Yunzhi Yang, Xi Dai, Shuai Wang, Yijin Wang, Yang Liu, Xiumei Lin and 10 more

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Interrogating the regulatory epigenome of cellular senescence.Cellular and molecular life sciences : CMLS · 2025
    Review
  4. Review
  5. Why Do We Study Aquatic Organisms?International journal of molecular sciences · 2023
    Article
  6. 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

20 authors.

Weimin Feng *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Shuai Liu *BGI-Hangzhou, Hangzhou, 310012, China.
Qiuting Deng *College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Sulei Fu *Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China.
Yunzhi YangBGI-Hangzhou, Hangzhou, 310012, China.
Xi DaiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Shuai WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yijin WangBGI-Hangzhou, Hangzhou, 310012, China.
Yang LiuBGI-Hangzhou, Hangzhou, 310012, China.
Xiumei LinCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Xiangyu PanMedical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Shijie HaoCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Yue YuanBGI-Hangzhou, Hangzhou, 310012, China.
Ying GuBGI-Shenzhen, Shenzhen, 518103, China.ORCID http://orcid.org/0000-0001-7822-0570
Xiuqing ZhangBGI-Shenzhen, Shenzhen, 518103, China.
Hanbo LiBGI-Shenzhen, Shenzhen, 518103, China.ORCID http://orcid.org/0000-0001-8778-9988
Longqi LiuBGI-Hangzhou, Hangzhou, 310012, China.ORCID http://orcid.org/0000-0002-5828-5542
Chuanyu LiuBGI-Shenzhen, Shenzhen, 518103, China. liuchuanyu@genomics.cn.ORCID http://orcid.org/0000-0003-2258-0897
Ji-Feng FeiDepartment of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510080, China. jifengfei@gdph.org.cn.ORCID http://orcid.org/0000-0003-2426-9402
Xiaoyu WeiBGI-Hangzhou, Hangzhou, 310012, China. weixiaoyu@genomics.cn.

Funding

China Postdoctoral Science Foundation 2022M720096China Postdoctoral Science Foundation 2022M722196National Natural Science Foundation of China (National Science Foundation of China) 31970782National Natural Science Foundation of China (National Science Foundation of China) 32070819National Natural Science Foundation of China (National Science Foundation of China) 92268114
6 · The paper itself

Abstract

Axolotl (Ambystoma mexicanum) is an excellent model for investigating regeneration, the interaction between regenerative and developmental processes, comparative genomics, and evolution. The brain, which serves as the material basis of consciousness, learning, memory, and behavior, is the most complex and advanced organ in axolotl. The modulation of transcription factors is a crucial aspect in determining the function of diverse regions within the brain. There is, however, no comprehensive understanding of the gene regulatory network of axolotl brain regions. Here, we utilized single-cell ATAC sequencing to generate the chromatin accessibility landscapes of 81,199 cells from the olfactory bulb, telencephalon, diencephalon and mesencephalon, hypothalamus and pituitary, and the rhombencephalon. Based on these data, we identified key transcription factors specific to distinct cell types and compared cell type functions across brain regions. Our results provide a foundation for comprehensive analysis of gene regulatory programs, which are valuable for future studies of axolotl brain development, regeneration, and evolution, as well as on the mechanisms underlying cell-type diversity in vertebrate brains.

Indexed as

Ambystoma mexicanumBrainChromatinAnimalsAscomycotaLearningMesencephalonSingle-Cell Gene Expression AnalysisChromatin

Identifiers

PMID37709774
PMCPMC10502032

What OpenQuestion holds

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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.