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Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis

dc.contributor.authorRoussarie, Jean-Pierre
dc.contributor.authorYao, Vicky
dc.contributor.authorRodriguez-Rodriguez, Patricia
dc.contributor.authorOughtred, Rose
dc.contributor.authorRust, Jennifer
dc.contributor.authorPlautz, Zakary
dc.contributor.authorKasturia, Shirin
dc.contributor.authorAlbornoz, Christian
dc.contributor.authorWang, Wei
dc.contributor.authorSchmidt, Eric F
dc.contributor.authorDannenfelser, Ruth
dc.contributor.authorTadych, Alicja
dc.contributor.authorBrichta, Lars
dc.contributor.authorBarnea-Cramer, Alona
dc.contributor.authorHeintz, Nathaniel
dc.contributor.authorHof, Patrick R
dc.contributor.authorHeiman, Myriam
dc.contributor.authorDolinski, Kara
dc.contributor.authorFlajolet, Marc
dc.contributor.authorTroyanskaya, Olga G
dc.contributor.authorGreengard, Paul
dc.date.accessioned2021-12-01T15:49:42Z
dc.date.available2021-12-01T15:49:42Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/138269
dc.description.abstract© 2020 The Authors Neurons display different levels of vulnerability to Alzheimer's pathology. Roussarie et al. experimentally profile and computationally model several relevant neuron types. Using a mouse-human framework, they identify genes linking Aß, aging, and tau in vulnerable neurons. Finally, they show experimentally that PTB, a regulator of tau splicing, contributes to vulnerability.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.NEURON.2020.06.010en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceElsevieren_US
dc.titleSelective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysisen_US
dc.typeArticleen_US
dc.identifier.citationRoussarie, Jean-Pierre, Yao, Vicky, Rodriguez-Rodriguez, Patricia, Oughtred, Rose, Rust, Jennifer et al. 2020. "Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis." Neuron, 107 (5).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentPicower Institute for Learning and Memory
dc.relation.journalNeuronen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-12-01T15:47:36Z
dspace.orderedauthorsRoussarie, J-P; Yao, V; Rodriguez-Rodriguez, P; Oughtred, R; Rust, J; Plautz, Z; Kasturia, S; Albornoz, C; Wang, W; Schmidt, EF; Dannenfelser, R; Tadych, A; Brichta, L; Barnea-Cramer, A; Heintz, N; Hof, PR; Heiman, M; Dolinski, K; Flajolet, M; Troyanskaya, OG; Greengard, Pen_US
dspace.date.submission2021-12-01T15:47:39Z
mit.journal.volume107en_US
mit.journal.issue5en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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