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Divergent patterns of healthy aging across human brain regions at single-cell resolution reveal links to neurodegenerative disease.
Duffy, Megan F; Ding, Jinhui; Langston, Rebekah G; Shah, Syed I; Nalls, Mike A; Scholz, Sonja W; Whitaker, D Thad; Auluck, Pavan K; Marenco, Stefano; Gibbs, J Raphael; Cookson, Mark R.
Affiliation
  • Duffy MF; Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.
  • Ding J; Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.
  • Langston RG; Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.
  • Shah SI; Data Tecnica International LLC, Washington, DC, USA.
  • Nalls MA; Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA.
  • Scholz SW; Data Tecnica International LLC, Washington, DC, USA.
  • Whitaker DT; Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA.
  • Auluck PK; Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.
  • Marenco S; Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA.
  • Gibbs JR; Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 20892.
  • Cookson MR; Human Brain Collection Core, Division of Intramural Research, National Institute of Mental Health, NIH, Bethesda, MD, 20892, USA.
bioRxiv ; 2023 Aug 01.
Article de En | MEDLINE | ID: mdl-37577533

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Risk_factors_studies Langue: En Journal: BioRxiv Année: 2023 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Risk_factors_studies Langue: En Journal: BioRxiv Année: 2023 Type de document: Article