Evidence map›Paper›PMID 36932104›Full record

ArticleNature communications2023

Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys.

Tingting Bo, Jie Li, Ganlu Hu, Ge Zhang, Wei Wang, Qian Lv, Shaoling Zhao, Junjie Ma, Meng Qin, Xiaohui Yao and 3 more

Open access · goldFull text read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

13 authors at 8 institutions in 2 countries.

Tingting Bo *Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-9080-5165
Jie Li *CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0003-1754-2378
Ganlu HuShanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.
Ge ZhangDepartment of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan, China.
Wei WangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0001-5060-4185
Qian LvSchool of Psychological and Cognitive Sciences; Beijing Key Laboratory of Behavior and Mental Health; IDG/McGovern Institute for Brain Research; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.ORCID 0000-0003-0543-8071
Shaoling ZhaoInstitute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, China.
Junjie MaCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Meng QinCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Xiaohui YaoQingdao Innovation and Development Center, Harbin Engineering University, Qingdao, Shandong, China.
Meiyun WangDepartment of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, No. 7 Weiwu Road, Zhengzhou, Henan, China. mywang@ha.edu.cn.ORCID 0000-0003-4454-5005
Guang-Zhong WangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China. guangzhong.wang@picb.ac.cn.ORCID 0000-0001-6432-8310
Zheng WangSchool of Psychological and Cognitive Sciences; Beijing Key Laboratory of Behavior and Mental Health; IDG/McGovern Institute for Brain Research; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China. zheng.wang@pku.edu.cn.ORCID 0000-0001-7138-8581
Shanghai Institute of Nutrition and Health · CNMcGovern Institute for Brain Research · USZhengzhou University · CNBeijing University of Chemical Technology · CNChinese Academy of Sciences · CNHarbin Engineering University · CNShanghai Jiao Tong University · CNShanghaiTech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrative analyses of transcriptomic and neuroimaging data have generated a wealth of information about biological pathways underlying regional variability in imaging-derived brain phenotypes in humans, but rarely in nonhuman primates due to the lack of a comprehensive anatomically-defined atlas of brain transcriptomics. Here we generate complementary bulk RNA-sequencing dataset of 819 samples from 110 brain regions and single-nucleus RNA-sequencing dataset, and neuroimaging data from 162 cynomolgus macaques, to examine the link between brain-wide gene expression and regional variation in morphometry. We not only observe global/regional expression profiles of macaque brain comparable to human but unravel a dorsolateral-ventromedial gradient of gene assemblies within the primate frontal lobe. Furthermore, we identify a set of 971 protein-coding and 34 non-coding genes consistently associated with cortical thickness, specially enriched for neurons and oligodendrocytes. These data provide a unique resource to investigate nonhuman primate models of human diseases and probe cross-species evolutionary mechanisms.

Indexed as

BrainTranscriptomeAnimalsHumansMacaca fascicularisMagnetic Resonance ImagingPrimatesRNARNA

Identifiers

PMID36932104
PMCPMC10023667
OpenAlexW4327744356

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read59
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.