Differential transcript usage unravels gene expression alterations in Alzheimer’s disease human brains

Diego Marques‐Coelho(Universidade Federal do Rio Grande do Norte), Lukas da Cruz Carvalho Iohan(Universidade Federal do Rio Grande do Norte), Ana Raquel Melo de Farias(Inserm), Amandine Flaig(Inserm), The Brainbank Neuro–CEB Neuropathology Network(Centre Hospitalier Universitaire d'Angers), Franck Letournel(Hôpital Pellegrin), Marie‐Laure Martin‐Négrier(Hôpital Pellegrin), Françoise Chapon(Centre Hospitalier Universitaire de Caen Normandie), Maxime Faisant(Centre Hospitalier Universitaire de Caen Normandie), Catherine Godfraind(Hôpital Roger Salengro), Claude-Alain Maurage(Hôpital Roger Salengro), Vincent Deramecourt(Hôpital Roger Salengro), Mathilde Duchesne(Hospices Civils de Lyon), David Meyronnet(Hospices Civils de Lyon), Nathalie Streichenberger(Hospices Civils de Lyon), A. Maues de Paula(Centre Hospitalier Universitaire de Montpellier), Valérie Rigau(Centre Hospitalier Universitaire de Montpellier), Fanny Vandenbos-Burel(Sorbonne Université), Charles Duyckaerts(Sorbonne Université), Danielle Seilhean(Sorbonne Université), Serge Milin(Centre Hospitalier Universitaire de Poitiers), Dan Christian Chiforeanu(Hôpital Charles-Nicolle), A. Laquérrière(Hôpital Charles-Nicolle), Florent Marguet(Hôpital Charles-Nicolle), Béatrice Lannes(Inserm), Jean‐Charles Lambert(Inserm), Marcos R. Costa(Inserm)
npj Aging and Mechanisms of Disease
January 4, 2021
Cited by 104Open Access
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Abstract

Alzheimer's disease (AD) is the leading cause of dementia in aging individuals. Yet, the pathophysiological processes involved in AD onset and progression are still poorly understood. Among numerous strategies, a comprehensive overview of gene expression alterations in the diseased brain could contribute for a better understanding of the AD pathology. In this work, we probed the differential expression of genes in different brain regions of healthy and AD adult subjects using data from three large transcriptomic studies: Mayo Clinic, Mount Sinai Brain Bank (MSBB), and ROSMAP. Using a combination of differential expression of gene and isoform switch analyses, we provide a detailed landscape of gene expression alterations in the temporal and frontal lobes, harboring brain areas affected at early and late stages of the AD pathology, respectively. Next, we took advantage of an indirect approach to assign the complex gene expression changes revealed in bulk RNAseq to individual cell types/subtypes of the adult brain. This strategy allowed us to identify previously overlooked gene expression changes in the brain of AD patients. Among these alterations, we show isoform switches in the AD causal gene amyloid-beta precursor protein (APP) and the risk gene bridging integrator 1 (BIN1), which could have important functional consequences in neuronal cells. Altogether, our work proposes a novel integrative strategy to analyze RNAseq data in AD and other neurodegenerative diseases based on both gene/transcript expression and regional/cell-type specificities.


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