Integrated multimodal cell atlas of Alzheimer’s disease

Mariano I. Gabitto(Allen Institute for Brain Science), Kyle J. Travaglini(Allen Institute for Brain Science), Victoria M. Rachleff(Allen Institute for Brain Science), Eitan S Kaplan(Allen Institute for Brain Science), Brian Long(Allen Institute for Brain Science), Jeanelle Ariza(University of Washington), Yi Ding(Allen Institute for Brain Science), Joseph T. Mahoney(Allen Institute for Brain Science), Nick Dee(Allen Institute for Brain Science), Jeff Goldy(Allen Institute for Brain Science), Erica J. Melief(University of Washington), Krissy Brouner(Allen Institute for Brain Science), Jazmin Campos(Allen Institute for Brain Science), John Campos(University of Washington), Ambrose Carr(Chan Zuckerberg Initiative (United States)), Tamara Casper(Allen Institute for Brain Science), Rushil Chakrabarty(Allen Institute for Brain Science), Michael Clark(Allen Institute for Brain Science), Jonah Cool(Chan Zuckerberg Initiative (United States)), Nasmil Valera Cuevas(Allen Institute for Brain Science), Rachel Dalley(Allen Institute for Brain Science), Martin Darvas(University of Washington), Song‐Lin Ding(Allen Institute for Brain Science), Tim Dolbeare(Allen Institute for Brain Science), Christine L. Mac Donald(University of Washington), Tom Egdorf(Allen Institute for Brain Science), Luke Esposito(Allen Institute for Brain Science), Rebecca Ferrer(Allen Institute for Brain Science), Rohan Gala(Allen Institute for Brain Science), Amanda Gary(Allen Institute for Brain Science), Jessica Gloe(Allen Institute for Brain Science), Nathan Guilford(Allen Institute for Brain Science), Junitta Guzman(Allen Institute for Brain Science), Daniel Hirschstein(Allen Institute for Brain Science), Windy Ho(Allen Institute for Brain Science), Tim Jarksy(Allen Institute for Brain Science), Nelson Johansen(Allen Institute for Brain Science), Brian Kalmbach(Allen Institute for Brain Science), Lisa M. Keene(University of Washington), Sarah Khawand(University of Washington), Mitch Kilgore(University of Washington), Amanda Kirkland(University of Washington), Michael Kunst(Allen Institute for Brain Science), Brian Lee(Allen Institute for Brain Science), Jocelin Malone(Allen Institute for Brain Science), Zoe Maltzer(Allen Institute for Brain Science), Naomi Martin(Allen Institute for Brain Science), Rachel McCue(Allen Institute for Brain Science), Delissa McMillen(Allen Institute for Brain Science), Emma Meyerdierks(Allen Institute for Brain Science), Kelly Meyers(Kaiser Permanente Washington Health Research Institute), Tyler Mollenkopf(Allen Institute for Brain Science), Mark Montine(University of Washington), Amber Nolan(University of Washington), Julie Nyhus(Allen Institute for Brain Science), Paul Olsen(Allen Institute for Brain Science), Maiya I Pacleb(University of Washington), Nicholas Peña(Allen Institute for Brain Science), Thanh Pham(Allen Institute for Brain Science), Christina Alice Pom(Allen Institute for Brain Science), Nadia Postupna(University of Washington), Augustin Ruiz(Allen Institute for Brain Science), Aimee Schantz(University of Washington), Nadiya V. Shapovalova(Allen Institute for Brain Science), Staci A. Sorensen(Allen Institute for Brain Science), Brian Staats(Allen Institute for Brain Science), Matt Sullivan(Allen Institute for Brain Science), Susan M. Sunkin(Allen Institute for Brain Science), Carol L. Thompson(Allen Institute for Brain Science), Michael Tieu(Allen Institute for Brain Science), Jonathan T. Ting(Allen Institute for Brain Science), Amy Torkelson(Allen Institute for Brain Science), Tracy Tran(Allen Institute for Brain Science), Ming-Qiang Wang(Allen Institute for Brain Science), Jack Waters(Allen Institute for Brain Science), Angela Wilson(University of Washington), David R. Haynor(University of Washington), Nicole M. Gatto(Kaiser Permanente Washington Health Research Institute), Suman Jayadev(University of Washington), Shoaib Mufti(Allen Institute for Brain Science), Lydia Ng(Allen Institute for Brain Science), Shubhabrata Mukherjee(University of Washington), Paul K. Crane(University of Washington), Caitlin S. Latimer(University of Washington), Boaz P. Levi(Allen Institute for Brain Science), Kimberly A. Smith(Allen Institute for Brain Science), Jennie Close(Allen Institute for Brain Science), Jeremy A. Miller(Allen Institute for Brain Science), Rebecca D. Hodge(Allen Institute for Brain Science), Eric B. Larson(University of Washington), Thomas J. Grabowski(University of Washington), Michael Hawrylycz(Allen Institute for Brain Science), C. Dirk Keene(University of Washington), Ed S. Lein(Allen Institute for Brain Science)
bioRxiv (Cold Spring Harbor Laboratory)
May 9, 2023
Cited by 40Open Access
Full Text

Abstract

Abstract Alzheimer’s disease (AD) is the most common cause of dementia in older adults. Neuropathological and imaging studies have demonstrated a progressive and 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 single cell and spatial genomics tools and knowledge from the BRAIN Initiative Cell Census Network to understand the impact of disease progression on middle temporal gyrus cell types. We used image-based quantitative neuropathology to place 84 donors spanning the spectrum of AD pathology along a continuous disease pseudoprogression score and multiomic technologies to profile single nuclei from each donor, mapping their transcriptomes, epigenomes, and spatial coordinates 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 .


Related Papers

No related papers found

Powered by citation graph analysis