Transcriptional dysregulation is a pathognomonic feature of Huntington's disease (HD). Analysis of human brain at autopsy, PET ligand binding in pre-manifest HD patient brain and gene expression studies in numerous cell and animal HD models as well as human HD brain tissue all support the view that transcriptional dysregulation is an important feature of this disease. Several key questions arise in assessing the role of transcriptional dysregulation in HD. One important question is the mechanistic basis by which the presence of pathological Huntingtin (HTT) protein in HD brain leads to transcriptional dysfunction. An equally important question is the extent to which reversal or blockage of the transcriptional dysregulation program in HD can lead to a therapeutic benefit in this disease. While there have been many significant contributions towards understanding these questions, this proposal is focused on an extension of recent studies that we have carried out which implicate the epigenetic machinery of the cells of the basal ganglia and the cortex in the mechanistic basis of transcriptional dysregulation. Our recent observations on the specific patterns of histone marks and DNA methylation patterns altered at or near the promoters of downregulated genes provide very strong new support for a key role for epigenetic modulation in HD transcriptional dysregulation and pathology. Our findings provide further support for the concept that therapeutic intervention directed towards modulating the epigenetic machinery of the cell can be beneficial in impeding the pathology in HD. We propose here to extend these studies in depth to gain a deeper and more complete understanding of the programmatic and potentially causative changes caused by the expression of the pathological form of HTT. We will expand our analysis to examine additional models of HD and to examine individual cell types. We will also explore the role of mutant huntingtin in establishing the epigenetic patterns. Finally we will test methods for modifying the epigenetic patterns using cell based and whole organism studies, and we will determine the impact of these changes on HD transcriptional dysregulation and pathology.
Our specific aims are therefore to:
Aim 1 : Establish baseline genome wide analyses of chromatin structure marks and transcription and Aim 2: Evaluate targets for potential therapeutic intervention through modulation of the pathological epigenetic program in HD. The development of a comprehensive and detailed analysis of chromatin modification in HD will provide a unique framework for understanding the role of epigenetic modification in nervous system function. The evaluation of potential efficacy of therapeutic interventions which operate through modulating chromatin modification pathways has the potential to have a decisive impact on the development of effective HD therapeutics by identifying the best potential targets for intervention and the extent to which HD pathology can be limited or perhaps reversed.

Public Health Relevance

Huntington's disease (HD) is a devastating degenerative brain disease for which no disease-modifying treatments are available and inevitably leads to death. Based on recent findings that link changes in the epigenetic machinery in the brain to how transcriptional patterns are altered in HD, we propose an in depth analysis of how changes in chromatin structure relate to these transcriptional changes. The information will be used to select enzymes involved in regulating these processes for preclinical testing in cell and whole organism studies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
3R01NS089076-01A1S1
Application #
9121773
Study Section
Cellular and Molecular Biology of Neurodegeneration Study Section (CMND)
Program Officer
Miller, Daniel L
Project Start
2015-04-01
Project End
2020-03-30
Budget Start
2015-04-01
Budget End
2016-03-30
Support Year
1
Fiscal Year
2015
Total Cost
$50,000
Indirect Cost
$22,607
Name
Massachusetts Institute of Technology
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Kedaigle, Amanda J; Fraenkel, Ernest (2018) Discovering Altered Regulation and Signaling Through Network-based Integration of Transcriptomic, Epigenomic, and Proteomic Tumor Data. Methods Mol Biol 1711:13-26
Kedaigle, Amanda; Fraenkel, Ernest (2018) Turning omics data into therapeutic insights. Curr Opin Pharmacol 42:95-101
HD iPSC Consortium (2017) Developmental alterations in Huntington's disease neural cells and pharmacological rescue in cells and mice. Nat Neurosci 20:648-660
Lim, Ryan G; Quan, Chris; Reyes-Ortiz, Andrea M et al. (2017) Huntington's Disease iPSC-Derived Brain Microvascular Endothelial Cells Reveal WNT-Mediated Angiogenic and Blood-Brain Barrier Deficits. Cell Rep 19:1365-1377
Soltis, Anthony R; Kennedy, Norman J; Xin, Xiaofeng et al. (2017) Hepatic Dysfunction Caused by Consumption of a High-Fat Diet. Cell Rep 21:3317-3328
Pirhaji, Leila; Milani, Pamela; Dalin, Simona et al. (2017) Identifying therapeutic targets by combining transcriptional data with ordinal clinical measurements. Nat Commun 8:623
Pirhaji, Leila; Milani, Pamela; Leidl, Mathias et al. (2016) Revealing disease-associated pathways by network integration of untargeted metabolomics. Nat Methods 13:770-6
Wong, Alan S L; Choi, Gigi C G; Cui, Cheryl H et al. (2016) Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM. Proc Natl Acad Sci U S A 113:2544-9