Center for Disease Neurogenomics
@CDNeurogenomics
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Mount Sinai, NYC
Joined February 2021
Center for Disease Neurogenomics (CDN) at Mount Sinai has 4 exciting faculty positions open for passionate and innovative individuals to advance the field of disease neurogenomics. Check out the links below for more info! #FacultyRecruitment #AcademicJobs #ScienceJobs
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Excited to share a new study mapping postnatal human brain development with multi-omic single-nucleus data https://t.co/92ZB9l0Nus 🧠101,924 nuclei | 4 regions | 10 donors | 5 key stages 🧬 Cell-type GRN linking GWAS loci to 1,149 genes ⚡ Oligodendrogenesis & brain disorders
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I want to acknowledge the supports from @panos_roussos @ReneKahn @EricJNestler and many many members from the @CDNeurogenomics and @SinaiBrain to get the lab up and running. Please visit https://t.co/zej1SKvx8K for openings.
anglab.org
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Computational Biomedical Engineering Join @IcahnMountSinai @SinaiBrain @MountSinaiPsych @SinaiGenetics! #CenterDiseaseNeurogenomics is a hub of #neurogenomics towards developing #precisionmedicine. Learn more https://t.co/Lz4EiuD2h1
https://t.co/dx1H9byX1s
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Genome Editing and Therapeutics Join @IcahnMountSinai @SinaiBrain @MountSinaiPsych @SinaiGenetics! #CenterDiseaseNeurogenomicsis a hub of #neurogenomics towards developing #precisionmedicine. Learn more https://t.co/hXUCLKHWfa
https://t.co/tZo5v2W5fW
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Cellular Bioengineering Join @IcahnMountSinai @SinaiBrain @MountSinaiPsych @SinaiGenetics! #CenterDiseaseNeurogenomics is a hub of #neurogenomics towards developing #precisionmedicine. Learn more https://t.co/4zA7meSMRj  https://t.co/LmBdkQb1eo
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Center for Disease Neurogenomics (CDN) at Mount Sinai has 3 exciting faculty positions open for passionate and innovative individuals to advance the field of neurogenomics. Join our innovative team in the heart of Manhattan, NY! #FacultyRecruitment #AcademicJobs #ScienceJobs
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New multiregional human brain snRNA-seq atlas in #Parkinsons generated as part of AMP-PD https://t.co/mFKXTS5YTN
@SinaiBrain @MountSinaiPsych @SinaiGenetics
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🧠New brain atlas reveals region-specific gene regulation & promoter-isoform insights, advancing neuropsychiatric disorder research & genetic fine-mapping. #Genomics #Neuroscience #cdneurogenomics #roussoslab Read more in #NatureCommunications
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I’m thrilled to share one of the largest single-cell transcriptomic atlas of the human DLPFC with over 6.3M nuclei from 1,494 unique brain donors. Collaboration with @MKoutrouli Nick @g_e_hoffman @JaroslavBendl John @panos_roussos and #PsychAD Consortium https://t.co/JdvKkTbeHZ
medrxiv.org
Neurodegenerative and neuropsychiatric diseases impose a significant societal and public health burden. However, our understanding of the molecular mechanisms underlying these highly complex condit...
We created a cross-disorder atlas of the human DLPFC exploring inter-individual & cross-disorder transcriptome variations. We aimed to provide a foundational framework for targeted, cross-disorder treatments that address the molecular complexity of brain dysfunction. #PsychAD
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There are more papers on their way. Stay tuned. Find more details of preprints at
psych-ad.org
Understanding the Molecular Mechanisms that Contribute to Neuropsychiatric Symptoms in Alzheimer’s Disease
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We introduce an open-source R package dreamlet ( https://t.co/gQKW6DeILA), which uses a pseudobulk approach and precision-weighted linear mixed models to identify genes differentially expressed with traits across subjects in large cohorts. #PsychAD
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We introduce a deep learning model for AD neuropathology, which accurately detects & quantifies amyloid pathology, validated with expert annotations. It generalizes across datasets, uncovering connections to genotype & pathology scores. #PsychAD
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For TWAS, we predict cell-type-specific gene expression in 27 non-overlapping cell-types and 3 ancestries using #PsychAD. We show that many significant genes in cell-types are missed in bulk analyses and that genetic associations are largely consistent across ancestries.
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For eQTL, #PsychAD powers a groundbreaking level of genetic regulatory resolution across 8 major cell classes and 27 subclasses in the human DLPFC. Our eQTL atlas reveals cell-type-specific gene expression regulation and disease risk mechanisms.
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For the personalized single-cell transcriptomics atlas of 1,494 brains, we developed iBrainMap, a graph-based model that prioritized personal cell-types, genes & networks, revealing new subtypes & population trajectories for #Alzheimers progression, cognition & NPS! #PsychAD
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For #Alzheimers phenotypic single-cell atlas, we introduce the deep learning framework PASCode uncovering 1.5M phenotype-associated cells & gene signatures for disease progression, resilience & NPS. Paving the way for novel diagnostics & therapeutics. #PsychAD
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For the lifespan single-cell atlas of the human DLPFC, we reveal age-specific gene expression, neuron resilience, glial vulnerability, and circadian reprogramming, offering insights into brain health and disease risk from development to aging. #PsychAD
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We created a cross-disorder atlas of the human DLPFC exploring inter-individual & cross-disorder transcriptome variations. We aimed to provide a foundational framework for targeted, cross-disorder treatments that address the molecular complexity of brain dysfunction. #PsychAD
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🎉 Excited to announce preprints from the first #PsychAD package! Check out details of our work at https://t.co/BhkOaqATQV 🧵 Found out summary of papers below👇
psych-ad.org
Understanding the Molecular Mechanisms that Contribute to Neuropsychiatric Symptoms in Alzheimer’s Disease
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We are delighted to share our latest findings today in @Nature. We describe cardiogenic regulation of sleep after cardiac injury. “Myocardial infarction augments sleep to limit cardiac inflammation and damage” https://t.co/ip6psmJBZ2
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