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Integrated multimodal cell atlas of Alzheimer's disease.

Mariano GabittoKyle J TravagliniJeannelle ArizaEitan KaplanBrian R LongVictoria RachleffYi DingJoseph MahoneyNick DeeJeff GoldyErica MeliefKrissy BrounerJazmin ComposJohn CamposAmbrose CarrTamara CasperRushil ChakrabartyMichael ClarkJonah CoolRachel DalleyMartin DarvasTim DolbeareSong-Lin DingTom EgdorfLuke EspositoRebecca FerrerRohan GalaAmanda GaryJessica GloeNathan GuilfordJunitta GuzmanWindy HoTim JarskyNelson JohansenBrian E KalmbachLisa KeeneSarah KhawandMitchell D KilgoreAmanda KirklandMichael KunstBrian LeeChristine Mac DonaldJocelin MaloneZoe MaltzerNaomi MartinRachel McCueDelissa A McMillenEmma MeyerdierksKelly MeyersTyler MollenkopfMark MontineAmber NolanJulie NyhusPaul OlsenMaiya PaclebTrangthanh PhamChristina PomNadia PostupnaAugustin RuizAimee SchantzStaci SorensenBrian StaatsMatt SullivanSusan SunkinCarol ThompsonMichael TieuJonathan TingAmy TorkelsonTracy TranNasmil Valera CuevasMing-Qiang WangJack WatersAngela WilsonDavid HaynorNicole GattoSuman JayadevShoaib MuftiLydia NgShubhabrata MukherjeePaul CraneCaitlin LatimerBoaz P LeviKimberly A SmithJennie CloseJeremy A MillerRebecca D HodgeEric LarsonThomas GrabowskiMichael J HawrylyczC Dirk KeeneEd S Lein
Published in: Research square (2023)
Alzheimer's disease (AD) is the most common cause of dementia in older adults. Neuropathological and imaging studies have demonstrated a progressive stereotyped accumulation of protein aggregates, but the underlying molecular and cellular mechanisms driving AD progression and vulnerable cell populations affected by disease remain coarsely understood. The current study harnesses the BRAIN Initiative Cell Census Network experimental practices, combining quantitative neuropathology with single cell genomics and spatial transcriptomics, to understand the impact of disease progression on middle temporal gyrus cell types. We used quantitative neuropathology to place 84 cases spanning the spectrum of AD pathology along a continuous disease pseudoprogression score. We used multiomic technologies to profile single nuclei from each donor, mapping their identity to a common cell type reference with unprecedented resolution. Temporal analysis of cell-type proportions indicated an early reduction of Somatostatin-expressing neuronal subtypes and a late decrease of supragranular intratelencephalic-projecting excitatory and Parvalbumin-expressing neurons, with increases in disease-associated microglial and astrocytic states. We found complex gene expression differences, ranging from global to cell type-specific effects. These effects showed different temporal patterns indicating diverse cellular perturbations as a function of disease progression. A subset of donors showed a particularly severe cellular and molecular phenotype, which correlated with steeper cognitive decline. We have created a freely available public resource to explore these data and to accelerate progress in AD research at SEA-AD.org.
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