The ASAP Blueprint for Collaborative Open Science is a comprehensive report on how Aligning Science Across Parkinson’s (ASAP) has worked towards its goals to date. This Blueprint presents initial findings on how our approach to open science has solidified and evolved over its first three years, data and metrics on progress, and CC-BY versions of assets that can be adopted and adapted by others. ASAP plans to update the Blueprint with new findings and updated versions of these assets on a regular basis.
COLLABORATION
The Aligning Science Across Parkinson’s (ASAP) initiative is devoted to accelerating the pace of discovery and informing the path to a cure for Parkinson’s disease through collaboration, research-enabling resources, and data sharing.
Support Collaboration
Fund international multidisciplinary teams to encourage the exchange of ideas, foster innovation, and catalyze new experimental approaches.
Generate Resources
Build infrastructure to support the next generation of Parkinson’s research through genetic analysis efforts, training support, natural history studies, and other research tools.
Share Data
Implement open science policies to ensure that ASAP-funded research, outputs, and tools can be leveraged by the broader community.
Parkinson's Genes
iNDI already has some PD gene mutations of interest that are associated with dementia within its existing workflow.
Using CRISPR/Cas-mediated gene editing, iNDI-PD will:
- Include a series of human isogenic iPSC lines expressing PD-associated mutations of interest that do not have dementia as a clinical phenotype. (See table for the list of potential mutations that the team is considering)
- Create isogenic controls for genetic PD patient-derived iPSC lines (LRRK2p.G2019S, LRRK2p.R144G, GBA p.N370S, SNCA p.A53T) from the MJFF PPMI cohort
“iNDI is the largest iPSC genome engineering initiative in research to date. The expansion of iNDI to include additional PD lines will allow us not only to discover novel insights into the molecular biology of disease but also to draw connections across diagnostic lines.”
–Mark Cookson, PhD, iNDI Principal Investigator
Genes
Mutations of Interest
SNCA
A53T
A30P
E46K
LRRK2
G2019S
R1441C
R1441G
Y1699C
I2020T
GBA
L444P
N370S
E326K
PINK1
P399L
L347P
A217D
PRKN
R275W
P437L
T240M
R42P
VPS35
D620N
