A public resource of single cell transcriptomes and multiscale networks from persons with and without Alzheimer's disease.
Journal
bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187
Informations de publication
Date de publication:
24 Oct 2023
24 Oct 2023
Historique:
medline:
14
11
2023
pubmed:
14
11
2023
entrez:
14
11
2023
Statut:
epublish
Résumé
The emergence of technologies that can support high-throughput profiling of single cell transcriptomes offers to revolutionize the study of brain tissue from persons with and without Alzheimer's disease (AD). Integration of these data with additional complementary multiomics data such as genetics, proteomics and clinical data provides powerful opportunities to link observed cell subpopulations and molecular network features within a broader disease-relevant context. We report here single nucleus RNA sequencing (snRNA-seq) profiles generated from superior frontal gyrus cortical tissue samples from 101 exceptionally well characterized, aged subjects from the Banner Brain and Body Donation Program in combination with whole genome sequences. We report findings that link common AD risk variants with
Identifiants
pubmed: 37961404
doi: 10.1101/2023.10.20.563319
pmc: PMC10634692
pii:
doi:
Types de publication
Preprint
Langues
eng