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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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A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data

Single-cell RNA-sequencing technology enables the identification of cell-type-specific differential gene expressions. MARBLES, a new statistical model, effectively detects DE genes across conditions.

Program: Collaborative Research Network
Team:
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Dopamine transporter and synaptic vesicle sorting defects underlie auxilin-associated Parkinson’s disease

Auxilin participates in the uncoating of clathrin-coated vesicles (CCVs), thereby facilitating synaptic vesicle (SV) regeneration at presynaptic sites. Auxilin (DNAJC6/PARK19) loss-of-function mutations cause early-onset Parkinson’s disease…

Program: Collaborative Research Network
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Single-cell transcriptomic and proteomic analysis of Parkinson’s disease Brains

This article established a single-nucleus transcriptomic profile of the prefrontal cortex from postmortem human brains of six patients with PD and six age-matched controls.

Program: Collaborative Research Network
Team:
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scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles

The authors developed scNAT, a deep learning method that integrates paired scRNA-seq and scTCR-seq data to represent data in a unified latent space for downstream analysis.

Program: Collaborative Research Network
Team:
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Gut instincts in neuroimmunity from the eighteenth to twenty-first centuries

In this review, the authors revisit the history of gut-brain interactions in science and medicine, which dates back to at least the eighteenth century, and outline how concepts in this field have shifted and evolved across eras.

Program: Collaborative Research Network
Team:
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Characterizing Parkinson’s Disease Clinical and Biomarker Interactions in REM Sleep Behavior Disorder

a-syn SAA positivity, DaT positivity, and hyposmia are highly associated with each other. MDS Prodromal PD Probability scores may be useful predictors of near-term progression, and thus as a stratification factor in clinical research study design

Program: Collaborative Research Network
Team:
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Inflamed Microglia like Macrophages in the Central Nervous System of Prodromal Parkinson′s Disease

We investigated the role of inflammation in the pathogenesis of prodromal PD performing single-cell RNAseq analysis of CSF and blood from 111 individuals.

Program: Collaborative Research Network
Team:
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Aligning Science Across Parkinson's
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