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Output Catalog
ASAP is committed to accelerating the pace of discovery and informing a path to a cure for Parkinson’s disease through collaboration, research-enabling resources, and data sharing. We’ve created this catalog to showcase the research outputs and tools developed by ASAP-funded programs.
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Output Type
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Program
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CRN Team Name
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Theme
Collection of protocols of Team Deleidi used in the publication: “”LRRK2 kinase activity regulates GCase level and enzymatic activity differently depending on cell type in Parkinson’s disease””
Collection of protocols of Team Deleidi used in the publication: ""LRRK2 kinase activity regulates GCase level and enzymatic activity differently depending on cell type in Parkinson’s disease""
Available ASAP-related hPSC collection from Team Studer
Collection of human pluripotent stem cell lines consisting of isogenic GBA, LRRK2, SNCA series, KI-reporter lines for TOMM20, b-actin, LAMB1, LAMP1, a-synuclein overexpression lines, and other hPSC resources.
Human Postmortem-Derived Brain Sequencing Collection (Harmonized Collection)
The Human Postmortem-derived Brain Sequencing Collection is a harmonized repository comprised of sequencing data contributed by ASAP CRN teams.
Evaluating the performance of polygenic risk profiling across diverse ancestry populations in Parkinson’s disease
Objective This study aims to address disparities in risk prediction by evaluating the performance of polygenic risk score (PRS) models using the 90 risk variants across 78 independent loci previously linked to Parkinson’s disease (PD) risk across…
Multi-ancestry genome-wide meta-analysis in Parkinson’s disease
Although over 90 independent risk variants have been identified for Parkinson’s disease using genome-wide association studies, all studies have been performed in just one population at the time. Here we performed the first large-scale…
Collection of protocols for paper: “Glucocerebrosidase, a Parkinson´s disease-associated protein, is imported into mitochondria and regulates complex I assembly and function”
This is a collection of protocols used in a recent preprint by the Deleidi Lab, Team Schapira. You can access pre-print at https://doi.org/10.21203/rs.3.rs-1521848/v1
Structure of human ULK1C:PI3KC3-C1 supercomplex
Structure of human ULK1C:PI3KC3-C1 supercomplex
Structure of human ULK1 complex core (2:1:1 stoichiometry)
Structure of human ULK1 complex core (2:1:1 stoichiometry)
Structure of human ULK1 complex core (2:2:2 stoichiometry) in the PI3KC3-C1 mixture
Structure of human ULK1 complex core (2:2:2 stoichiometry) in the PI3KC3-C1 mixture (Method: ELECTRON MICROSCOPY, Resolution: 5.85 Å, Aggregation State: PARTICLE, Reconstruction Method: SINGLE PARTICLE).
Structure of human PI3KC3-C1 complex
Structure of human PI3KC3-C1 complex
Structure of human ULK1 complex core (2:2:2 stoichiometry) of the ATG13(450-517) mutant
Structure of human ULK1 complex core (2:2:2 stoichiometry) of the ATG13(450-517) mutant
Immunohistochemistry using paraffin embedded tissue
Immunohistochemistry using paraffin embedded tissue
Crystal structure ATG9 HDIR in complex with the ATG13:ATG101 HORMA dimer
Crystal structure ATG9 HDIR in complex with the ATG13:ATG101 HORMA dimer (Method: X-RAY DIFFRACTION Resolution: 2.41 Å R-Value Free: 0.251 R-Value Work: 0.204 R-Value Observed: 0.205)
BugSigDB – Parkinson’s Disease
A Comprehensive Database of Published Microbial Signatures in PD
The IPDGC/GP2 Hackathon – an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data
Open science and collaboration are necessary to facilitate the advancement of Parkinson’s disease (PD) research. Hackathons are collaborative events that bring together people with different skill sets and backgrounds to generate resources and…