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Series GSE151147 Query DataSets for GSE151147
Status Public on Feb 02, 2021
Title The genetic landscape for amyloid beta nucleation accurately discriminates familial Alzheimer’s disease mutations
Organism Saccharomyces cerevisiae
Experiment type Other
Summary Alzheimer’s Disease (AD) is the most common form of dementia and a leading global cause of human mortality and morbidity.  Amyloid plaques of the amyloid beta (Aß) peptide are a universal pathological hallmark of AD and rare mutations in Aß can cause familial forms of AD (fAD).  However, hundreds of additional mutations in Aß of uncertain significance are likely to exist in the human population, making clinical interpretation of genetic variation a difficult challenge even in this short peptide.  Here, we use deep mutagenesis to quantify the effects of all possible single nucleotide variants and thousands of double mutations on the ability of Aß to nucleate amyloid fibrils in vivo. This data provides the first comprehensive view of how mutations alter the nucleation of an amyloid, reveals  a modular organisation of mutational effects in Aß, and demonstrates the importance of charge in preventing nucleation.  Moreover, the in vivo nucleation data, unlike computational predictors, accurately discriminates the known dominant fAD mutations.  These results illustrate how deep mutagenesis can be used to genetically validate assays as discovery platforms.  They also further prioritize nucleation as the critical biochemical event to target in order to prevent and treat AD.
 
Overall design Systematic measurement of the amyloid nucleation of 15,000 mutations of Aβ42
 
Contributor(s) Bolognesi B, Lehner B
Citation(s) 33522485, 39091732
Submission date May 25, 2020
Last update date Aug 26, 2024
Contact name benedetta bolognesi
E-mail(s) bbolognesi@ibecbarcelona.eu
Phone +34651983269
Organization name IBEC
Lab Bolognesi
Street address c comte borrell 232 5a-1a
City barcelona
State/province Barcelona
ZIP/Postal code 08029
Country Spain
 
Platforms (1)
GPL17342 Illumina HiSeq 2500 (Saccharomyces cerevisiae)
Samples (6)
GSM4567219 Input 1
GSM4567220 Input 2
GSM4567221 Input 3
Relations
BioProject PRJNA634890
SRA SRP263468

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE151147_MS_BL_BB_processed_data.xlsx 5.1 Mb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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