Evidence map›Paper›PMID 35000600›Full record

ArticleMolecular neurodegeneration2022

The landscape of human tissue and cell type specific expression and co-regulation of senescence genes.

Peng Xu, Minghui Wang, Won-Min Song, Qian Wang, Guo-Cheng Yuan, Peter H Sudmant, Habil Zare, Zhidong Tu, Miranda E Orr, Bin Zhang

Open access · goldAbstract read
In one paragraph

Article in Molecular neurodegeneration, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
8.8field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 106 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Mapping the Hypoxic Fitness Landscape of Retinal Pigment Epithelial Cells.International journal of molecular sciences · 2026
    Article
  11. Article
  12. Article
  13. Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 1 country.

Peng XuDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Minghui WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Won-Min SongDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Qian WangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Guo-Cheng YuanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Peter H SudmantDepartment of Integrative Biology, University of California Berkeley, Berkeley, CA, 94720, USA.
Habil ZareDepartment of Cell Systems & Anatomy, The University of Texas Health Science Center, San Antonio, TX, 78229, USA.
Zhidong TuDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Miranda E OrrSection of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
Bin ZhangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA. bin.zhang@mssm.edu.ORCID 0000-0002-9549-5653
Icahn School of Medicine at Mount Sinai · USThe University of Texas Health Science Center at San Antonio · USUniversity of California, Berkeley · USWake Forest University · US

Funding

Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
Integrative Network Modeling of Cognitive Resilience to Alzheimer's DiseaseR01AG057907 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI EHRLICH, MICHELLE E, HAROUTUNIAN, VAHRAM · 2017 to 2021
$6.3M
Genomic approach to identification of microglial networks involved in Alzheimer’s disease riskU01AG058635 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GOATE, ALISON M · 2018 to 2022
$4.8M
Systems modeling of shared and distinct molecular mechanisms underlying comorbid Major Depressive Disorder and Alzheimer's diseaseR01AG062355 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI EHRLICH, MICHELLE E, SALTON, STEPHEN R · 2018 to 2022
$4.7M
Identification and characterization of AD risk networks using multi-dimensional "omics" dataU01AG052411 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2016 to 2020
$4.5M
Novel Network Biology Approaches to Reposition FDA-approved Drugs for Alzheimer's DiseaseR01AG068030 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BRENNAND, KRISTEN JENNIFER, CAI, DONGMING · 2020 to 2024
$4.2M
Molecular Characterization and Validation of Gender Differences in Alzheimers Disease PathogenesisRF1AG054014 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DONGMING, ZHANG, BIN · 2016 to 2016
$4.2M
Dissect the interplay between sex and APOE at the single cell level to uncover novel pathways, targets and therapeutics for Alzheimer's diseaseRF1AG074010 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DONGMING, ZHANG, BIN · 2021 to 2021
$3.6M
Towards a comprehensive signaling pathway map of parahippocampal vulnerability in Alzheimers DiseaseRF1AG057440 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAROUTUNIAN, VAHRAM, NOGGLE, SCOTT ALLEN · 2017 to 2017
$3.5M
The evolution and diversity of mutation, molecular fidelity, and genome structureR35GM142916 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Peter Heshedahl Sudmant · 2021 to 2026
$2.5M
Human tissue specific age-related gene expression changes, their genetic regulations and the link to human diseasesR01AG055501 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TU, ZHIDONG · 2018 to 2022
$2.2M
BLRD VA IK2 BX003804NIA NIH HHS P30 AG044271NIA NIH HHS R01 AG055501NIA NIH HHS R01 AG057907NIA NIH HHS R01AG057907NIA NIH HHS R01 AG062355NIA NIH HHS R01AG062355NIA NIH HHS R01 AG068030NIA NIH HHS R01AG068030NIA NIH HHS R01 AG068293NIA NIH HHS R01AG068293NIA NIH HHS RF1 AG054014NIA NIH HHS RF1AG054014NIA NIH HHS RF1 AG057440NIA NIH HHS RF1AG057440NIA NIH HHS RF1 AG074010NIA NIH HHS RF1AG074010NIA NIH HHS U01 AG046170NIA NIH HHS U01 AG052411NIA NIH HHS U01AG052411NIA NIH HHS U01 AG058635NIA NIH HHS U01AG058635NIGMS NIH HHS R35 GM142916NIH HHS S10 OD026880NIH HHS S10 OD030463
6 · The paper itself

Abstract

backgroundCellular senescence is a complex stress response that impacts cellular function and organismal health. Multiple developmental and environmental factors, such as intrinsic cellular cues, radiation, oxidative stress, oncogenes, and protein accumulation, activate genes and pathways that can lead to senescence. Enormous efforts have been made to identify and characterize senescence genes (SnGs) in stress and disease systems. However, the prevalence of senescent cells in healthy human tissues and the global SnG expression signature in different cell types are poorly understood.

methodsThis study performed an integrative gene network analysis of bulk and single-cell RNA-seq data in non-diseased human tissues to investigate SnG co-expression signatures and their cell-type specificity.

resultsThrough a comprehensive transcriptomic network analysis of 50 human tissues in the Genotype-Tissue Expression Project (GTEx) cohort, we identified SnG-enriched gene modules, characterized SnG co-expression patterns, and constructed aggregated SnG networks across primary tissues of the human body. Our network approaches identified 51 SnGs highly conserved across the human tissues, including CDKN1A (p21)-centered regulators that control cell cycle progression and the senescence-associated secretory phenotype (SASP). The SnG-enriched modules showed remarkable cell-type specificity, especially in fibroblasts, endothelial cells, and immune cells. Further analyses of single-cell RNA-seq and spatial transcriptomic data independently validated the cell-type specific SnG signatures predicted by the network analysis.

conclusionsThis study systematically revealed the co-regulated organizations and cell type specificity of SnGs in major human tissues, which can serve as a blueprint for future studies to map senescent cells and their cellular interactions in human tissues.

Indexed as

Cellular SenescenceEndothelial CellsFibroblastsGene Expression ProfilingHumansTranscriptomeHuman tissuesNetworkRNA-seqSenescenceSingle cellTranscriptome

Identifiers

PMID35000600
PMCPMC8744330
OpenAlexW4206526603

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.