We utilize human pluripotent stem cell-derived cells (skeletal muscle cells, neurons, astrocytes, and 3D brain organoids), as well as fibroblast-derived neural cell types, in combination with molecular tools (e.g., CRISPR-dCas9) to study complex disorders (obesity, Alzheimer's disease, epilepsy, and bipolar disorder).
We employ baboons as a model for epilepsy, and have projects investigating their small RNA profiles, whole genome profiles, snRNAseq profiles, and EEGs, and are developing stem-cell-based models. We also investigate epigenetic profiles in human population studies for lifestyle disorders, including diabetes and obesity.
Our group utilizes commercially available sequencing methods for DNA methylation, hydroxymethylation, miRNA, and mRNA sequencing across all projects. We are also interested in developing novel combinatorial sequencing approaches to profile the epigenome at single-cell resolution.
DNA methylation plays a vital role in the regulation of gene expression and other cellular processes. Numerous studies have found links between abnormal patterns of methylation and certain human diseases. We are interested in assessing the effect of altered methylation on key genes involved in complex diseases, including obesity and Alzheimer’s disease. We have developed a method that can effectively integrate viral vectors into the genome to stably express a mutated form of CRISPR/Cas9 (dCas9-DNMT3A and guide RNA). This system allows us to methylate specific loci throughout the genome. We have integrated this dCas9 system into stem cells derived from healthy controls and patients with Alzheimer’s disease and have shown altered methylation patterns throughout differentiation into neurons, which may impact key processes involved in Alzheimer’s disease. We are currently expanding our work to include the CRISPRon/CRISPRoff system to allow for more tightly regulated inducible methylation changes.
Image Credit: Emily Shrimpton
Age-related neurodegenerative disorders like Alzheimer’s disease affect millions worldwide and pose a major burden to the healthcare system. Neuronal and non-neuronal cells play an important role in disease progression and epigenetic modifications, such as DNA methylation, are known contributors to both healthy aging and neurodegeneration. While iPSC-derived models of AD provide valuable insight into the molecular basis for the disease, they lack the inherent ability to recapitulate age-associated DNA methylation, transcription, and cellular phenotypes that are highly relevant in such late-stage, age-associated brain disorders. Direct conversion of fibroblasts to neurons retains such age-associated methylomic and transcriptomic patterns. Our lab is trying to extend such work by developing an efficient direct conversion strategy for astrocytes and other non-neuronal cells. We plan to use this model to further elucidate the association of age and disease-related changes in DNA methylation to astrocyte functionality.
Image Credit: Uchit Bhaskar
There is substantive evidence that risk for neuropsychiatric diseases may begin during neural development, and epigenetic mechanisms likely drive this risk. We are interested in the effect of hydroxymethylation on disease risk, due to its integral role in early neural development and high specificity within the developing and adult brain. We have generated preliminary data that suggests hydroxymethylation signatures, in known neuropsychiatric-related genes, are altered during neural differentiation, and that hydroxymethylation patterns may differ between iPSC-derived neuronal cells of adolescents with bipolar I disorder, and their unaffected siblings. We are interested in exploring the relationship between DNA hydroxymethylation, methylation, and gene expression. We aim to do this using a joint-combinatorial indexing-based approach, and are interested in developing similar sequencing-based strategies at single-cell resolution.
Image Credit: Uchit Bhaskar
Our lab has identified epigenome-wide DNA methylation changes associated with metabolic syndrome and its components (i.e., diabetes, obesity, dyslipidemia and hypertension) in a large Mexican American cohort. We identified CpG sites whose methylation profiles were heritable, associated with age and sex, and associated with several metabolic phenotypes. We are also studying the contribution of DNA methylation to obesity and energy expenditure in a childhood cohort of Mexican Americans. We are using MethylSeq to investigate the role of DNA methylation signatures in obesity, energy expenditure, and substrate utilization. Findings from this study will be further validated using epigenetic editing techniques to understand the functional role of such DNA methylation changes on mitochondrial function and cellular bioenergetics.
Prior research has shown miRNA expression is altered in neurological disorders. miRNAs can be found in relatively accessible body fluids (e.g., blood, CSF), making them suited as potential biomarkers of diseases. Our lab is investigating the associations between blood-based miRNA expression profiles and neuroanatomical and neurocognitive phenotypes in a large family-based cohort of Mexican Americans. In addition, we are working with a non-human primate model (baboons) to assess neuroanatomical variation through EEG/MRI, and examining their associations with peripheral miRNA biomarkers and brain-region-specific gene expression patterns. We are also interested in extending these findings to in vitro model systems, including baboon iPSC-derived brain organoids. Overall, our goal is to better define peripheral miRNA biomarkers that may also have implications for brain pathology.
Image Credit: Emily Shrimpton
(in collaboration with Hsieh Lab, UTSA)