Hey there! My name is Jaroslav Bendl and I am an Assistant Professor at Icahn School of Medicine at Mount Sinai. My long term research interests involve the development of algorithms and pipelines focused on the analysis of the human genome. In my current position, I am specifically focused on neuropsychiatric and neurological disorders such as schizophrenia, depression, bipolar disease, and Alzheimer’s disease. By combining molecular assays generated from postmortem human brains (genome, transcriptome, epigenome), I am trying to come up with a better explanation of genetic factors that carry the risk for those diseases and the mechanisms through which they act.
PhD in Computer Science, 2016
Brno University of Technology & Loschmidt Laboratories, Czechia
MSc in Computer Science, 2011
Brno University of Technology, Czechia
Spring semester internship, 2011
Norwegian University of Science and Technology, Norway
BSc in Computer Science, 2009
Brno University of Technology, Czechia
This review explores how chromatin accessibility profiling, particularly ATAC-seq, combined with single-cell technologies, GWAS, and transcriptomics, has advanced our understanding of the noncoding genome’s role in neuropsychiatric and neurodegenerative diseases
We present a comprehensive catalog that captures variation in the human brain regulome, which illuminates the cell type–specific molecular mechanisms that underlie neuropsychiatric and neurodegenerative disorders. Our work highlights an approach to move from statistical associations from large-scale GWASs to functionally validated variants and molecular mechanisms of disease.
Our results describe the complex regulation of cell composition at critical stages in lineage determination and shed light on the impact of spatiotemporal alterations in gene expression on neuropsychiatric disease.
The authors generated the largest epigenome atlas of postmortem brains with Alzheimer’s disease. They reported regulatory genomic signatures associated with AD, including variability in open chromatin regions, transcription factor networks and cis-regulatory domains.
Transcriptomic and epigenomic profiling of human microglia identifies putative gene regulatory mechanisms for 21 Alzheimer’s disease (AD) risk loci. SPI1/PU.1 is nominated as a key regulator of microglia gene expression and AD risk.
Here, the authors perform ATAC-seq on four distinct cell populations from three different regions of the human brain, finding that chromatin accessibility varies greatly by cell type and less by brain region. This study reveals differences in biological function and gene regulation, as well as overlap of genetic variants associated with schizophrenia and other neuropsychiatric traits.
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