AlzGPS: a genome-wide positioning systems platform to catalyze multi-omics for Alzheimer’s drug discovery

54Citations
Citations of this article
88Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Recent DNA/RNA sequencing and other multi-omics technologies have advanced the understanding of the biology and pathophysiology of AD, yet there is still a lack of disease-modifying treatments for AD. A new approach to integration of the genome, transcriptome, proteome, and human interactome in the drug discovery and development process is essential for this endeavor. Methods: In this study, we developed AlzGPS (Genome-wide Positioning Systems platform for Alzheimer’s Drug Discovery, https://alzgps.lerner.ccf.org), a comprehensive systems biology tool to enable searching, visualizing, and analyzing multi-omics, various types of heterogeneous biological networks, and clinical databases for target identification and development of effective prevention and treatment for AD. Results: Via AlzGPS: (1) we curated more than 100 AD multi-omics data sets capturing DNA, RNA, protein, and small molecule profiles underlying AD pathogenesis (e.g., early vs. late stage and tau or amyloid endophenotype); (2) we constructed endophenotype disease modules by incorporating multi-omics findings and human protein-protein interactome networks; (3) we provided possible treatment information from ~ 3000 FDA approved/investigational drugs for AD using state-of-the-art network proximity analyses; (4) we curated nearly 300 literature references for high-confidence drug candidates; (5) we included information from over 1000 AD clinical trials noting drug’s mechanisms-of-action and primary drug targets, and linking them to our integrated multi-omics view for targets and network analysis results for the drugs; (6) we implemented a highly interactive web interface for database browsing and network visualization. Conclusions: Network visualization enabled by AlzGPS includes brain-specific neighborhood networks for genes-of-interest, endophenotype disease module networks for omics-of-interest, and mechanism-of-action networks for drugs targeting disease modules. By virtue of combining systems pharmacology and network-based integrative analysis of multi-omics data, AlzGPS offers actionable systems biology tools for accelerating therapeutic development in AD.

References Powered by Scopus

Limma powers differential expression analyses for RNA-sequencing and microarray studies

24065Citations
N/AReaders
Get full text

Gene Expression Omnibus: NCBI gene expression and hybridization array data repository

10075Citations
N/AReaders
Get full text

NCBI GEO: Archive for functional genomics data sets - Update

7289Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Applications of multi-omics analysis in human diseases

111Citations
N/AReaders
Get full text

Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer’s disease

111Citations
N/AReaders
Get full text

Network medicine links SARS-CoV-2/COVID-19 infection to brain microvascular injury and neuroinflammation in dementia-like cognitive impairment

108Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhou, Y., Fang, J., Bekris, L. M., Kim, Y. H., Pieper, A. A., Leverenz, J. B., … Cheng, F. (2021). AlzGPS: a genome-wide positioning systems platform to catalyze multi-omics for Alzheimer’s drug discovery. Alzheimer’s Research and Therapy, 13(1). https://doi.org/10.1186/s13195-020-00760-w

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 20

49%

Researcher 15

37%

Professor / Associate Prof. 5

12%

Lecturer / Post doc 1

2%

Readers' Discipline

Tooltip

Medicine and Dentistry 11

32%

Neuroscience 9

26%

Agricultural and Biological Sciences 7

21%

Biochemistry, Genetics and Molecular Bi... 7

21%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free