The advent of next generation sequencing (NGS) technologies has made it possible to identify the full spectrum of genetic variations in single individuals. This has made it possible to identify rare variants that contribute to human genetic diseases. However, this has quickly created a need for mechanisms to prove or demonstrate that the candidate genes are causal. One mechanism to begin to understand specific genetic variations in the context of the pathophysiology of PD is to identify the impact that changes in the expression of the candidate genes have on key cellular pathways, molecular functions and regulatory networks, so called pathway analysis. By examining the effect that the knockout or knockdown of specific candidate genes have on the transcriptome, we can begin to identify the key pathways responsible for the disease phenotype. To that end, an integrated, multi-organism disease modeling core has been established to bring together expertise in yeast, zebrafish and induced pluripotent stem cells (IPSCs) modeling. Each model organism in the core represents a different level of complexity and can be used to better understand different aspects of the pathology of PD. This core will facilitate the rapid identification of the most appropriate models for examining the impact that loss of function of specific genes (derived from Project 1 and 3) and non-coding RNAs (Project 2) have on the transcriptome (analyzed in Core C). Knockdown or knockout models of the specific candidate genes will be developed in the appropriate organisms to provide the biological material (total RNA) for transcriptome analysis. In addition to providing total RNA from the knockout/knockdown cells and tissues (and control cells and tissues), this core will generate important reagents (morpholinos, shRNAs, yeast knock strains and iPSCs) for future functional studies into the pathology of PD for members of the UM Udall Center, as well as, other Udall Centers and PD investigators.

Public Health Relevance

The pace at which genetic variations can be identified has rapidly accelerated due to the advent of high content DNA sequencing technologies. By examining changes in candidate gene expression across several organisms simultaneously, we hope to gain a better understanding of PD pathology.

National Institute of Health (NIH)
National Institute of Neurological Disorders and Stroke (NINDS)
Specialized Center (P50)
Project #
Application #
Study Section
Special Emphasis Panel (ZNS1-SRB-E)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Miami School of Medicine
Coral Gables
United States
Zip Code
Rawlik, Konrad; Rowlatt, Amy; Tenesa, Albert (2016) Imputation of DNA Methylation Levels in the Brain Implicates a Risk Factor for Parkinson's Disease. Genetics 204:771-781
Lubbe, Steven J; Escott-Price, Valentina; Brice, Alexis et al. (2016) Is the MC1R variant p.R160W associated with Parkinson's? Ann Neurol 79:159-61
Nuytemans, Karen; Maldonado, Lizmarie; Ali, Aleena et al. (2016) Overlap between Parkinson disease and Alzheimer disease in ABCA7 functional variants. Neurol Genet 2:e44
El Hokayem, Jimmy; Cukier, Holly N; Dykxhoorn, Derek M (2016) Blood Derived Induced Pluripotent Stem Cells (iPSCs): Benefits, Challenges and the Road Ahead. J Alzheimers Dis Parkinsonism 6:
Esanov, Rustam; Belle, Kinsley C; van Blitterswijk, Marka et al. (2016) C9orf72 promoter hypermethylation is reduced while hydroxymethylation is acquired during reprogramming of ALS patient cells. Exp Neurol 277:171-7
Lubbe, S J; Escott-Price, V; Brice, A et al. (2016) Rare variants analysis of cutaneous malignant melanoma genes in Parkinson's disease. Neurobiol Aging 48:222.e1-222.e7
Hossein-Nezhad, Arash; Fatemi, Roya Pedram; Ahmad, Rili et al. (2016) Transcriptomic Profiling of Extracellular RNAs Present in Cerebrospinal Fluid Identifies Differentially Expressed Transcripts in Parkinson's Disease. J Parkinsons Dis 6:109-17
Xiong, Nian; Li, Nuomin; Martin, Eden et al. (2016) hVMAT2: A Target of Individualized Medication for Parkinson's Disease. Neurotherapeutics 13:623-34
Zeier, Zane; Esanov, Rustam; Belle, Kinsley C et al. (2015) Bromodomain inhibitors regulate the C9ORF72 locus in ALS. Exp Neurol 271:241-50
Pastori, Chiara; Kapranov, Philipp; Penas, Clara et al. (2015) The Bromodomain protein BRD4 controls HOTAIR, a long noncoding RNA essential for glioblastoma proliferation. Proc Natl Acad Sci U S A 112:8326-31

Showing the most recent 10 out of 28 publications