Evidence map›Paper›PMID 37925638›Full record

ArticleCell reports2023

Integrative multi-omic profiling of adult mouse brain endothelial cells and potential implications in Alzheimer's disease.

Min Yu, Yage Nie, Jiawen Yang, Shilun Yang, Rui Li, Varsha Rao, Xiaoyan Hu, Cheng Fang, Simeng Li, Dengpan Song and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-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

16 citing papers in PubMed, 31 citations in OpenAlex.

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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

16 authors at 6 institutions in 2 countries.

Min YuInstitute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yage NieZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Jiawen YangState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Shilun YangInstitute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Rui LiCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Varsha RaoDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Xiaoyan HuInstitute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Cheng FangInstitute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Simeng LiInstitute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Dengpan SongDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Fuyou GuoDepartment of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
Calvin J KuoDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: cjkuo@stanford.edu.
Jin XuState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China. Electronic address: xujin7@mail.sysu.edu.cn.
Junlei ChangInstitute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. Electronic address: jl.chang@siat.ac.cn.
Chinese Academy of Sciences · CNStanford University · USSun Yat-sen University · CNFirst Affiliated Hospital of Zhengzhou University · CNHoward Hughes Medical Institute · USStanford Medicine · US

Funding

Center for Personal Dynamic RegulomesRM1HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2019 to 2023
$13.8M
NHGRI NIH HHS RM1 HG007735
6 · The paper itself

Abstract

The blood-brain barrier (BBB) is primarily manifested by a variety of physiological properties of brain endothelial cells (ECs), but the molecular foundation for these properties remains incompletely clear. Here, we generate a comprehensive molecular atlas of adult brain ECs using acutely purified mouse ECs and integrated multi-omics. Using RNA sequencing (RNA-seq) and proteomics, we identify the transcripts and proteins selectively enriched in brain ECs and demonstrate that they are partially correlated. Using single-cell RNA-seq, we dissect the molecular basis of functional heterogeneity of brain ECs. Using integrative epigenomics and transcriptomics, we determine that TCF/LEF, SOX, and ETS families are top-ranked transcription factors regulating the BBB. We then validate the identified brain-EC-enriched proteins and transcription factors in normal mouse and human brain tissue and assess their expression changes in mice with Alzheimer's disease. Overall, we present a valuable resource with broad implications for regulation of the BBB and treatment of neurological disorders.

Indexed as

Alzheimer DiseaseEndothelial CellsAdultAnimalsBlood-Brain BarrierBrainHumansMiceMultiomicsTranscription FactorsTranscription FactorsAlzheimer's diseaseblood-brain barrierCP: Neuroscienceendothelial cellsmulti-omicsproteomics

Identifiers

PMID37925638
PMCPMC10843806
OpenAlexW4388335481

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.