{"id":1156,"date":"2021-09-22T18:19:59","date_gmt":"2021-09-22T18:19:59","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/?page_id=1156"},"modified":"2023-07-19T21:09:31","modified_gmt":"2023-07-19T21:09:31","slug":"home","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/","title":{"rendered":"Home"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; admin_label=&#8221;Menu Section&#8221; _builder_version=&#8221;4.9.0&#8243; disabled=&#8221;on&#8221;][et_pb_fullwidth_menu menu_id=&#8221;3&#8243; submenu_direction=&#8221;downwards&#8221; fullwidth_menu=&#8221;off&#8221; admin_label=&#8221;Home Menu&#8221; _builder_version=&#8221;4.9.0&#8243; background_color=&#8221;#0a0a0a&#8221; vertical_offset_tablet=&#8221;0&#8243; horizontal_offset_tablet=&#8221;0&#8243; text_orientation=&#8221;right&#8221; background_layout=&#8221;dark&#8221; z_index_tablet=&#8221;0&#8243; menu_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; menu_text_shadow_vertical_length_tablet=&#8221;0px&#8221; menu_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; box_shadow_horizontal_image_tablet=&#8221;0px&#8221; box_shadow_vertical_image_tablet=&#8221;0px&#8221; box_shadow_blur_image_tablet=&#8221;40px&#8221; box_shadow_spread_image_tablet=&#8221;0px&#8221;][\/et_pb_fullwidth_menu][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; admin_label=&#8221;Home Slider Section&#8221; _builder_version=&#8221;4.9.0&#8243; custom_margin=&#8221;-3em||||false|false&#8221;][et_pb_fullwidth_slider use_bg_overlay=&#8221;off&#8221; use_text_overlay=&#8221;off&#8221; admin_label=&#8221;Home Slider&#8221; _builder_version=&#8221;4.9.0&#8243; vertical_offset_tablet=&#8221;0&#8243; horizontal_offset_tablet=&#8221;0&#8243; height=&#8221;600px&#8221; z_index_tablet=&#8221;0&#8243; header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; body_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; body_text_shadow_vertical_length_tablet=&#8221;0px&#8221; body_text_shadow_blur_strength_tablet=&#8221;1px&#8221; body_link_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; body_link_text_shadow_vertical_length_tablet=&#8221;0px&#8221; body_link_text_shadow_blur_strength_tablet=&#8221;1px&#8221; body_ul_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; body_ul_text_shadow_vertical_length_tablet=&#8221;0px&#8221; body_ul_text_shadow_blur_strength_tablet=&#8221;1px&#8221; body_ol_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; body_ol_text_shadow_vertical_length_tablet=&#8221;0px&#8221; body_ol_text_shadow_blur_strength_tablet=&#8221;1px&#8221; body_quote_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; body_quote_text_shadow_vertical_length_tablet=&#8221;0px&#8221; body_quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; button_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; button_text_shadow_vertical_length_tablet=&#8221;0px&#8221; button_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; box_shadow_horizontal_image_tablet=&#8221;0px&#8221; box_shadow_vertical_image_tablet=&#8221;0px&#8221; box_shadow_blur_image_tablet=&#8221;40px&#8221; box_shadow_spread_image_tablet=&#8221;0px&#8221; box_shadow_horizontal_button_tablet=&#8221;0px&#8221; box_shadow_vertical_button_tablet=&#8221;0px&#8221; box_shadow_blur_button_tablet=&#8221;40px&#8221; box_shadow_spread_button_tablet=&#8221;0px&#8221; text_shadow_horizontal_length_tablet=&#8221;0px&#8221; text_shadow_vertical_length_tablet=&#8221;0px&#8221; text_shadow_blur_strength_tablet=&#8221;1px&#8221;][et_pb_slide heading=&#8221;Roussos Lab&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/8476412_orig.jpg&#8221; background_enable_image=&#8221;on&#8221; sticky_transition=&#8221;on&#8221;][\/et_pb_slide][et_pb_slide _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2020\/02\/Untitled.jpg&#8221; background_enable_image=&#8221;on&#8221; sticky_transition=&#8221;on&#8221;][\/et_pb_slide][et_pb_slide _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/09\/graphical_abstract.png&#8221; background_enable_image=&#8221;on&#8221; sticky_transition=&#8221;on&#8221;][\/et_pb_slide][et_pb_slide _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/epiroadmap_final_nostripes.jpg&#8221; background_enable_image=&#8221;on&#8221; sticky_transition=&#8221;on&#8221;][\/et_pb_slide][et_pb_slide _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/09\/hess-exterior-01.jpg&#8221; background_enable_image=&#8221;on&#8221; sticky_transition=&#8221;on&#8221;][\/et_pb_slide][\/et_pb_fullwidth_slider][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Research Section&#8221; _builder_version=&#8221;4.9.0&#8243; background_image=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2021\/09\/epiroadmap-nostripes.jpg&#8221; parallax=&#8221;on&#8221; parallax_method=&#8221;off&#8221;][et_pb_row column_structure=&#8221;2_3,1_3&#8243; _builder_version=&#8221;4.9.0&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;2_3&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_text _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;17px&#8221;]<\/p>\n<p style=\"color: #00aeef;font-weight:bold\"><em>\u201cWe generate single cell and cell type-specific multi-scale omics data in the human brain to better understand the genetic architecture and etiopathogenesis of neuropsychiatric diseases.\u201d<\/em><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#0a0a0a&#8221;]<\/p>\n<p>Panos Roussos is a Professor of Psychiatry and Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai and Director of the Pamela Sklar Division of Psychiatric Genomics. He is a member of Icahn Institute for Data Science and Genomic Technology and Friedman Brain Institute. He is also a VA\/MIRECC Research Physician at the James J. Peters VA Medical Center. He received his medical and doctorate degrees from the University of Crete in Greece and he completed his residency in Psychiatry (research track) at Icahn School of Medicine at Mount Sinai followed by a MIRECC research fellowship in schizophrenia. His early research focused on the genetic exploration of intermediate cognitive phenotypes, including the prepulse inhibition of the startle reflex in human subjects and restoration of deficits using a pharmacogenomic approach. During his residency in psychiatry (Physician-Scientist Research Track) at Icahn School of Medicine at Mount Sinai, he worked on human postmortem studies by integrating genomics with gene expression and gene network approaches. His research focuses on the integration of high-dimensional data, such as genomic, epigenomic, and transcriptomic, using advanced biostatistical methods in order to identify some of the mechanisms through which risk genetic variants increase the risk for neuropsychiatric diseases.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;]<iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/VynancyFkc8\" width=\"500\" height=\"255\" frameborder=\"0\"><\/iframe>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_image src=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2021\/09\/Team-Panos.jpg&#8221; title_text=&#8221;Team-Panos&#8221; admin_label=&#8221;Panos&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;80%&#8221; border_radii=&#8221;on|6px|6px|6px|6px&#8221;][\/et_pb_image][et_pb_text _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;]<\/p>\n<h5><a href=\"https:\/\/www.mountsinai.org\/profiles\/panagiotis-roussos\" target=\"_blank\" rel=\"noopener\"><strong>Panos Roussos M.D. Ph.D.<\/strong><\/a><\/h5>\n<p>Professor at the Department of Genetics and Genomics Sciences and the Department of Psychiatry<br \/>\nDirector of the Pamela Sklar Division of Psychiatric Genomics<br \/>\nIcahn Institute for Data Science and Genomic Technology<br \/>\nFriedman Brain Institute<br \/>\nIcahn School of Medicine at Mount Sinai[\/et_pb_text][et_pb_text disabled_on=&#8221;on|on|on&#8221; admin_label=&#8221;Tweets&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; disabled=&#8221;on&#8221;]<\/p>\n<p><a class=\"twitter-timeline\" href=\"https:\/\/twitter.com\/LabRoussos?ref_src=twsrc%5Etfw\">Tweets by LabRoussos<\/a> <script src=\"https:\/\/platform.twitter.com\/widgets.js\"><\/script><\/p>\n<p>[\/et_pb_text][et_pb_text admin_label=&#8221;Tweets&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;]<\/p>\n<p><a class=\"twitter-timeline\" data-height=\"300\" href=\"https:\/\/twitter.com\/LabRoussos?ref_src=twsrc%5Etfw\">Tweets by LabRoussos<\/a> <script src=\"https:\/\/platform.twitter.com\/widgets.js\"><\/script><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Projects Section&#8221; module_id=&#8221;projects&#8221; module_class=&#8221;projects-section&#8221; _builder_version=&#8221;4.9.0&#8243; background_color=&#8221;#f2f2f2&#8243; locked=&#8221;off&#8221;][et_pb_row _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_text _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;]<\/p>\n<h2>Projects<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=&#8221;Projects&#8221; _builder_version=&#8221;4.9.0&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; custom_margin=&#8221;-2em||||false|false&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_toggle title=&#8221;Overview&#8221; open=&#8221;on&#8221; closed_toggle_background_color=&#8221;#eaeaea&#8221; icon_color=&#8221;#00aeef&#8221; admin_label=&#8221;Overview&#8221; _builder_version=&#8221;4.9.0&#8243; title_text_color=&#8221;#00a6e5&#8243; body_text_color=&#8221;#555555&#8243; border_radii=&#8221;on|6px|6px|6px|6px&#8221; border_width_all=&#8221;0.5px&#8221; border_color_all=&#8221;#00aeef&#8221; saved_tabs=&#8221;all&#8221;]<\/p>\n<div id=\"wsite-content\" class=\"wsite-elements wsite-not-footer\">\n<div class=\"wsite-section-wrap\">\n<div class=\"wsite-section wsite-body-section wsite-background-3 wsite-custom-background\">\n<div class=\"wsite-section-content\">\n<div class=\"wsite-section-elements\">\n<div class=\"paragraph\">\n<p>Common neuropsychiatric illnesses, such as schizophrenia, bipolar disorder and Alzheimer\u2019s disease, carry considerable morbidity, mortality, and personal and societal cost. While recent large-scale genetic association studies have identified numerous risk loci, the mechanisms through which they contribute to disease remain largely unknown. By applying single cell molecular approaches to the affected tissue (in this case, the human brain), we can uncover novel cellular subpopulations that are associated with disease. In parallel, cell type-specific molecular studies allow us to characterize the effect of genetic variation on the 3-dimensional configuration of the genome and on the complex mechanisms that regulate gene expression in those cells relevant to disease. All these brain-specific multi-scale data are leveraged to interpret the genetic architecture of neuropsychiatric illnesses in large-scale biobank datasets. Our team is part of studies conducted by the Million Veteran Program, PsychENCODE project, CommonMind Consortium and Accelerating Medicine Partnership for Alzheimer\u2019s Disease.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-468\" src=\"https:\/\/labs.icahn.mssm.edu\/functionalneurogenomics-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract2.jpg\" alt=\"\" width=\"500\" height=\"430\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract2.jpg 2614w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract2-300x258.jpg 300w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract2-768x660.jpg 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract2-1024x880.jpg 1024w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Functional characterization of non-coding variants for Alzheimer\u2019s disease&#8221; closed_toggle_background_color=&#8221;#eaeaea&#8221; icon_color=&#8221;#00aeef&#8221; admin_label=&#8221;Functional characterization of non-coding variants for Alzheimer\u2019s disease&#8221; _builder_version=&#8221;3.19.10&#8243; title_text_color=&#8221;#00a6e5&#8243; body_text_color=&#8221;#555555&#8243; border_radii=&#8221;on|6px|6px|6px|6px&#8221; border_width_all=&#8221;0.5px&#8221; border_color_all=&#8221;#00aeef&#8221; saved_tabs=&#8221;all&#8221;]<\/p>\n<div id=\"wsite-content\" class=\"wsite-elements wsite-not-footer\">\n<div class=\"wsite-section-wrap\">\n<div class=\"wsite-section wsite-body-section wsite-background-3 wsite-custom-background\">\n<div class=\"wsite-section-content\">\n<div class=\"wsite-section-elements\">\n<div class=\"paragraph\">\n<p>Supported by\u00a0<strong>National Institute of Aging<\/strong>\u00a0(<em>R01AG050986<\/em>\u00a0and\u00a0<em>R01AG057440<\/em>).<\/p>\n<p>The majority of the common risk variants for Alzheimer\u2019s Disease (AD) are within non-coding regions. Many of these sequences are thought to exert their effects through disruption of regulatory functions, including effects on long range\u00a0<i>cis<\/i>\u00a0regulatory elements (CREs) that physically interact with transcription start sites (TSS). In this project, we generate additional data using samples from the\u00a0<a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn2580853\/wiki\/66722\">Accelerating Medicine Partnership for Alzheimer\u2019s Disease<\/a>\u00a0(AMP-AD) that involve multiple brain regions from hundreds of postmortem brain samples with no know neuropsychiatric history or cases with AD. Our ultimate goal is to:<\/p>\n<ol>\n<li><span style=\"font-size: 15px\">Characterize and annotate the putative functional role of risk variants on the regulation of gene expression by generating cell type-specific multiscale-omics data, including RNAseq, ATACseq, multiple different ChIPseq and HiC in a small cohort of control samples.<br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-652\" src=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/09\/Untitled2-300x161.png\" alt=\"\" width=\"500\" height=\"269\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/09\/Untitled2-300x161.png 300w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/09\/Untitled2.png 500w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><br \/>\n<\/span><\/li>\n<li>Generate cell type-specific ATACseq data in a large cohort of controls and AD cases, where WGS and RNAseq exist, followed by integration of gene expression and epigenome quantitative trait loci (QTL) maps with genome wide association studies (GWAS).<br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-505\" src=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/AMP-AD_ATACseq-285x300.png\" alt=\"\" width=\"500\" height=\"526\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/AMP-AD_ATACseq-285x300.png 285w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/AMP-AD_ATACseq-768x808.png 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/AMP-AD_ATACseq-973x1024.png 973w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Multi-scale analysis in schizophrenia and bipolar disorder&#8221; closed_toggle_background_color=&#8221;#eaeaea&#8221; icon_color=&#8221;#00aeef&#8221; admin_label=&#8221;Multi-scale analysis in schizophrenia and bipolar disorder&#8221; _builder_version=&#8221;3.0.106&#8243; title_text_color=&#8221;#00a6e5&#8243; body_text_color=&#8221;#555555&#8243; border_radii=&#8221;on|6px|6px|6px|6px&#8221; border_width_all=&#8221;0.5px&#8221; border_color_all=&#8221;#00aeef&#8221; saved_tabs=&#8221;all&#8221;]<\/p>\n<div id=\"wsite-content\" class=\"wsite-elements wsite-not-footer\">\n<p>Supported by\u00a0<strong>National Institute of Mental Health<\/strong>\u00a0(<i>U01MH116442, R01MH109897,\u00a0<\/i><em>R01MH109677<\/em>,\u00a0<em>R01MH110921<\/em>) and\u00a0<strong>Veterans Administration<\/strong>\u00a0(<em>Merit BX002395<\/em>).<\/p>\n<p>The majority of the common risk variants for schizophrenia (SCZ) and bipolar disorder (BD) are within non-coding regions and affect regulatory functions, including effects on long range\u00a0<i>cis<\/i>\u00a0regulatory elements (CREs) that physically interact with transcription start sites (TSS). In this project, we generate additional data using samples from the\u00a0<a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn2759792\/wiki\/69613\">CommonMind Consortium<\/a>\u00a0(CMC) and\u00a0<a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn4921369\/wiki\/235539\">PsychENCODE<\/a>\u00a0project that involve multiple brain regions from 2,000 postmortem brain samples with no know neuropsychiatric history or cases with SCZ and BD. Our ultimate goal is to generate and integrate cell type-specific omics data in a large cohort of controls and SCZ\/BD cases, followed by integration of gene expression, epigenome and proteome quantitative trait loci (QTL) maps with genome wide association studies (GWAS). The following data are being generated:<\/p>\n<ol>\n<li>Cell type-specific ATACseq in 2 brain regions (dorsolateral prefrontal cortex and anterior cingulate gyrus) of &gt;500 controls and SCZ\/BD cases.<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-507\" src=\"https:\/\/labs.icahn.mssm.edu\/functionalneurogenomics-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/MPS.png\" alt=\"\" width=\"500\" height=\"271\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/MPS.png 3810w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/MPS-300x163.png 300w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/MPS-768x416.png 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/MPS-1024x555.png 1024w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/li>\n<li>Multiple omics data (ATACseq, RNAseq, HiC and proteomics) in 4 cell types derived from the \u00a0dorsolateral prefrontal cortex of 100 controls and SCZ cases.<\/li>\n<\/ol>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-508\" src=\"https:\/\/labs.icahn.mssm.edu\/functionalneurogenomics-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/CMC_ATACseq.png\" alt=\"\" width=\"500\" height=\"521\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/CMC_ATACseq.png 2399w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/CMC_ATACseq-288x300.png 288w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/CMC_ATACseq-768x800.png 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/CMC_ATACseq-983x1024.png 983w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\n<p>These datasets will complement existing data in the CMC samples, such as WGS, RNAseq and cell type-specific ChIPseq and will be leveraged for downstream integrative analysis for multi-scale network modeling and colocalization of GWAS risk variants with QTLs.<\/p>\n<div class=\"wsite-section-wrap\"><\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Large-scale transcriptome and epigenome association analysis across multiple traits&#8221; closed_toggle_background_color=&#8221;#eaeaea&#8221; icon_color=&#8221;#00aeef&#8221; admin_label=&#8221;Large-scale transcriptome and epigenome association analysis across multiple traits&#8221; _builder_version=&#8221;3.0.106&#8243; title_text_color=&#8221;#00a6e5&#8243; body_text_color=&#8221;#555555&#8243; border_radii=&#8221;on|6px|6px|6px|6px&#8221; border_width_all=&#8221;0.5px&#8221; border_color_all=&#8221;#00aeef&#8221; saved_tabs=&#8221;all&#8221;]<\/p>\n<div id=\"wsite-content\" class=\"wsite-elements wsite-not-footer\"><\/div>\n<p>Supported by\u00a0<strong>Veterans Administration<\/strong>\u00a0(<em>Merit BX004189<\/em>).<\/p>\n<p>Precision Medicine refers to the customization of medical treatment to the individual characteristics of each patient. The\u00a0<a href=\"https:\/\/www.research.va.gov\/mvp\/\">Million Veteran Program<\/a>\u00a0(MVP) provides a unique opportunity to perform large-scale genome-wide association studies (GWAS) across multiple traits and diseases towards the successful application of Precision Medicine. While well powered GWAS have identified multiple risk variants, due to their small effect sizes there has been limited conclusive findings on the genetic factors contributing to complex traits. In addition, the majority of common risk variants are within non-coding regions of the genome and, as such, the functional relevance of most discovered loci remains unclear. Our group and others have shown that a large proportion of phenotypic variability in disease risk can be explained by regulatory variants, i.e. genetic variants that affect epigenetic mechanisms and the expression levels of genes. The \u00a0study of gene expression and epigenome changes directly in the MVP samples is not feasible as such data are not available.<\/p>\n<p>To overcome these limitations, we propose to apply a machine learning approach that leverages existing molecular data (unrelated to MVP) as a reference panel to directly impute multi-tissue and genome-wide gene expression and epigenome profiles in MVP samples using existing MVP genotypes. As reference panel, we will use large-scale datasets with genotyping and molecular profiling that our group and others have generated, including, but not limited to, the\u00a0<a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn4921369\/wiki\/235539\">PsychENCODE<\/a>\u00a0project,\u00a0<a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn2759792\/wiki\/69613\">CommonMind Consortium<\/a>\u00a0and\u00a0<a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn2580853\/wiki\/66722\">Accelerating Medicine Partnership for Alzheimer\u2019s Disease<\/a>. Imputed MVP gene expression and epigenome data provides a powerful cohort to \u201ctranslate\u201d genetic findings to the dysregulation of specific molecular pathways across multiple traits that will enhance drug discovery.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-322 aligncenter\" src=\"https:\/\/labs.icahn.mssm.edu\/functionalneurogenomics-lab\/wp-content\/uploads\/sites\/222\/2018\/01\/John-MVP-1024x875.jpg\" alt=\"\" width=\"558\" height=\"477\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/01\/John-MVP-1024x875.jpg 1024w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/01\/John-MVP-300x256.jpg 300w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/01\/John-MVP-768x656.jpg 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2018\/01\/John-MVP.jpg 1350w\" sizes=\"(max-width: 558px) 100vw, 558px\" \/><\/p>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;The 3D genome in transcriptional regulation across the postnatal life span&#8221; closed_toggle_background_color=&#8221;#eaeaea&#8221; icon_color=&#8221;#00aeef&#8221; admin_label=&#8221;The 3D genome in transcriptional regulation across the postnatal life span&#8221; _builder_version=&#8221;3.0.106&#8243; title_text_color=&#8221;#00a6e5&#8243; body_text_color=&#8221;#555555&#8243; border_radii=&#8221;on|6px|6px|6px|6px&#8221; border_width_all=&#8221;0.5px&#8221; border_color_all=&#8221;#00aeef&#8221; saved_tabs=&#8221;all&#8221;]<\/p>\n<div id=\"wsite-content\" class=\"wsite-elements wsite-not-footer\">\n<p>Supported by\u00a0<strong>National Institute of Mental Health<\/strong>\u00a0(<i>U01MH116442<\/i>).<\/p>\n<p>Schizophrenia (SCZ) and bipolar disorder (BD) risk loci are preferentially located within promoter and enhancer regulatory sequences of neurons and that they co-localize with expression Quantitative Traits Loci (eQTL), thus implicating specific genes. However, work that has been performed to-date has limited spatiotemporal resolution as: (1) only a few cortical regions have been examined, (2) the effect of 3D genome on transcriptional regulation across the lifespan has never been examined, and (3) studies have been limited to homogenate brain tissue or include only broadly defined neuronal and non-neuronal populations. To address these limitations, we will generate cell type-, brain region- and age period-specific high-dimensional data that will inform us of the effect of 3D genome on the transcriptional regulation and will link regulatory elements with specific transcripts. More specifically, we use fluorescence activated nuclei sorting to isolate glutamatergic and GABAergic neuronal as well as oligodendrocyte and astrocyte nuclei from five human cortical and subcortical regions relevant to SCZ and BD across five postnatal age periods. We will then generate cell-type specific annotations for gene expression and enhancer RNA (RNA-seq and CAGE-seq), open chromatin (ATAC-seq), insulators (CTCF ChIP-seq), active enhancers and promoters (H3K27ac and H3K4me3 ChIP-seq), and chromatin loop interactions (HiC and Capture-C). Using the resulting data, we will delineate cis transcriptional regulation associated with the 3D genome (including promoter-enhancer loopings) and uncover the functional consequences of SCZ and BD risk loci on enhancer-transcript units.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-510\" src=\"https:\/\/labs.icahn.mssm.edu\/functionalneurogenomics-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim1.png\" alt=\"\" width=\"775\" height=\"372\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim1.png 3129w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim1-300x144.png 300w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim1-768x368.png 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim1-1024x491.png 1024w\" sizes=\"(max-width: 775px) 100vw, 775px\" \/><\/p>\n<p>In parallel, we examine the impact of SCZ and BD risk variants on cell type-specific gene expression and epigenome QTLs. We map RNAseq and ATACseq at the single cell level and use cell type-specific markers and deconvolution approaches to the existing large scale transcriptome and epigenome datasets, from\u00a0<a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn2759792\/wiki\/69613\">CommonMind Consortium<\/a>,\u00a0<a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn4921369\/wiki\/235539\">PsychENCODE<\/a>\u00a0and other projects, in order to generate cell type-specific expression and epigenome QTLs. We then co-localize SCZ and BD risk loci with expression and fine map epigenome QTLs to define disease-associated enhancer-transcript units. It is our expectation that these integrated analyses will enable us to assign specific regulatory units within SCZ and BD risk haplotypes to specific cell types, brain regions and age windows, thereby providing insight into the mechanisms of genetic risk for SCZ and BD.\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-511\" src=\"https:\/\/labs.icahn.mssm.edu\/functionalneurogenomics-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim2.png\" alt=\"\" width=\"630\" height=\"425\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim2.png 2362w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim2-300x202.png 300w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim2-768x518.png 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/Aim2-1024x691.png 1024w\" sizes=\"(max-width: 630px) 100vw, 630px\" \/><\/p>\n<\/div>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Understanding the role of human brain immune cells in Alzheimer Disease vulnerability&#8221; closed_toggle_background_color=&#8221;#eaeaea&#8221; icon_color=&#8221;#00aeef&#8221; admin_label=&#8221;Understanding the role of human brain immune cells in Alzheimer Disease vulnerability&#8221; _builder_version=&#8221;3.0.106&#8243; title_text_color=&#8221;#00a6e5&#8243; body_text_color=&#8221;#555555&#8243; border_radii=&#8221;on|6px|6px|6px|6px&#8221; border_width_all=&#8221;0.5px&#8221; border_color_all=&#8221;#00aeef&#8221; saved_tabs=&#8221;all&#8221;]<\/p>\n<div id=\"wsite-content\" class=\"wsite-elements wsite-not-footer\">\n<p>Supported by\u00a0<strong>National Institute of Aging<\/strong>\u00a0(<em>R01AG050986<\/em>) and\u00a0funds from the\u00a0<strong>Presidential Early Career Awards for Scientists and Engineers<\/strong>.<\/p>\n<p>Microglia and other myeloid origin cells (collectively called human brain immune cells, or HBICs) have recently emerged as crucial players in the pathogenesis of Alzheimer\u2019s disease (AD). This is supported through genetic association studies, where many of the common and rare risk loci affect genes that are preferentially or selectively expressed in HBICs, emphasizing the pivotal role of the innate immune system in AD. In addition, previous studies have shown enrichment of AD common risk loci in non-coding, regulatory sequences of peripheral immune cells but not in annotations generated from homogenate brain tissue. As HBICs constitute a small proportion of total brain cells, homogenate-based studies in human brain tissue are therefore unlikely to capture the full spectrum of HBIC molecular signatures, especially in light of the growing appreciation for the diversity of HBICs in the brain. Our study\u00a0addresses some of the limitations of previous research and is focused on:\u00a0<em>(1)<\/em>\u00a0cell type specific studies in immune cells isolated from human brain tissue; and\u00a0<em>(2)<\/em>\u00a0a systematic study of the regulatory effects of non-coding DNA on gene and protein expression, which is necessary given that the majority of common risk variants are situated in non-coding regions of the genome. More specifically, we:\u00a0<em>(1)<\/em>\u00a0apply innovative genomic approaches and generate multi-omics data from HBICs, including whole genome sequencing, RNAseq, ATACseq, HiC chromosome conformation capture and proteomics;\u00a0<em>(2)<\/em>perform state-of-the-art single cell analysis that will allow us to assess the diversity of HBIC subpopulations, as well as detect those that are associated with AD;\u00a0<em>(3)<\/em>\u00a0connect AD risk loci with changes in the regulatory mechanisms of gene and protein expression in HBICs; and\u00a0<em>(4)<\/em>\u00a0organize HBIC multiscale data in functional networks and identify key drivers for AD.<\/p>\n<p><small><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-518\" src=\"https:\/\/labs.icahn.mssm.edu\/functionalneurogenomics-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract-2.png\" alt=\"\" width=\"682\" height=\"361\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract-2.png 3622w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract-2-300x159.png 300w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract-2-768x407.png 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/graphical_abstract-2-1024x543.png 1024w\" sizes=\"(max-width: 682px) 100vw, 682px\" \/><\/small><\/p>\n<\/div>\n<p>[\/et_pb_toggle][et_pb_toggle title=&#8221;Multiregional assessment of gene expression and chromatin accessibility in human brain tissue&#8221; closed_toggle_background_color=&#8221;#eaeaea&#8221; icon_color=&#8221;#00aeef&#8221; admin_label=&#8221;Multiregional assessment of gene expression and chromatin accessibility in human brain tissue&#8221; _builder_version=&#8221;3.0.106&#8243; title_text_color=&#8221;#00a6e5&#8243; body_text_color=&#8221;#555555&#8243; border_radii=&#8221;on|6px|6px|6px|6px&#8221; border_width_all=&#8221;0.5px&#8221; border_color_all=&#8221;#00aeef&#8221; saved_tabs=&#8221;all&#8221;]<\/p>\n<div id=\"wsite-content\" class=\"wsite-elements wsite-not-footer\">\n<p>Supported by\u00a0funds from\u00a0<strong>Boehringer Ingelheim, LTD<\/strong>\u00a0and<em>\u00a0<\/em>the\u00a0<strong>Presidential Early Career Awards for Scientists and Engineers<\/strong>.<\/p>\n<p>Most common genetic risk variants associated with neuropsychiatric disease are noncoding and are thought to exert their effects by disrupting the function of\u00a0<i>cis<\/i>\u00a0regulatory elements (CREs), including promoters and enhancers. Within each cell, chromatin is arranged in specific patterns to expose the repertoire of CREs required for optimal spatiotemporal regulation of gene expression. To further understand the complex mechanisms that modulate transcription in the brain, we use frozen postmortem samples to generate an atlas of human brain and cell-type-specific open chromatin and gene expression data set. More specifically, we create maps of chromatin accessibility (ATACseq) and gene expression (RNAseq) in two cell types (neurons and non-neurons) across 25 distinct brain regions of six individuals. The aim of this project is to:\u00a0<em>(1)<\/em>\u00a0define cell type- and region-specific changes in gene expression and chromatin accessibility; and\u00a0<em>(2)<\/em>\u00a0examine whether\u00a0differentially accessible chromatin and gene expression overlaps with the genetic architecture of neuropsychiatric traits and identifies differences in molecular pathways and biological functions.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-537\" src=\"https:\/\/labs.icahn.mssm.edu\/functionalneurogenomics-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/multiregion.png\" alt=\"\" width=\"389\" height=\"630\" srcset=\"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/multiregion.png 2055w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/multiregion-185x300.png 185w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/multiregion-768x1243.png 768w, https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2017\/03\/multiregion-633x1024.png 633w\" sizes=\"(max-width: 389px) 100vw, 389px\" \/><\/p>\n<\/div>\n<p>[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Awards Section&#8221; module_id=&#8221;awards&#8221; module_class=&#8221;awards-section&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; height=&#8221;600px&#8221;][et_pb_row _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_text admin_label=&#8221;Awards Text&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; header_2_text_color=&#8221;#00aeef&#8221;]<\/p>\n<h2 class=\"paragraph\"><strong>Awards &amp; Honors<\/strong><\/h2>\n<p>&nbsp;<\/p>\n<div style=\"color: #555555\"><strong>2020:<\/strong>\u00a0 \u00a0 Eva King Killam Research Award for excellence in Translational Research,\u00a0American College of Neuropsychopharmacology<br \/><strong>2017-:\u00a0<\/strong>\u00a0 Member , American College of Neuropsychopharmacology<br \/><strong>2016:<\/strong> \u00a0 \u00a0Presidential Early Career Awards for Scientists and Engineers, White House<br \/><strong>2015:<\/strong> \u00a0 \u00a0Elected to attend and Awarded Funds, Charleston Conference on Alzheimer&#8217;s Disease<br \/><strong>2013:<\/strong> \u00a0 \u00a0Best Research Paper, New York State Psychiatric Association Scientific Paper Contest<br \/><strong>2013:<\/strong> \u00a0 \u00a0Travel Award , International Congress on Schizophrenia Research<br \/><strong>2013-:<\/strong> \u00a0 Associate Member , American College of Neuropsychopharmacology<br \/><strong>2012:<\/strong> \u00a0 \u00a0Domestic Travel Fellowship Award, Society of Biological Psychiatry<br \/><strong>2012:<\/strong> \u00a0 \u00a0Research Colloquium for Junior Investigators &#8211; Travel Award , American Psychiatric Association<br \/><strong>2012:<\/strong> \u00a0 \u00a0Best Research Paper, New York State Psychiatric Association Scientific Paper Contest<br \/><strong>2012:<\/strong> \u00a0 \u00a0Travel Award , American College of Neuropsychopharmacology<br \/><strong>2012:<\/strong> \u00a0 \u00a0Early Academic Career Award, APA\/Merck<br \/><strong>2011:<\/strong>\u00a0 \u00a0 Best Research Paper, New York State Psychiatric Association Scientific Paper Contest<br \/><strong>2010:<\/strong>\u00a0 \u00a0 Outstanding Resident Award, National Institute of Mental Health<br \/><strong>2010:<\/strong> \u00a0 \u00a0Travel Award, International Society of Psychiatric Genetics<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Funding Section&#8221; module_id=&#8221;funding&#8221; module_class=&#8221;funding-section&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#f2f2f2&#8243;][et_pb_row _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_text admin_label=&#8221;Funding Text&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; header_2_text_color=&#8221;#00aeef&#8221;]<\/p>\n<h2 class=\"paragraph\"><strong>Active Funding<\/strong><\/h2>\n<div>\n<div>\n<p>2023 &#8211; 2026: BD\u00b2 Breakthrough Discoveries for thriving with Bipolar Disorder<\/p>\n<p><strong>Dissection of Bipolar Disorder pathophysiology through integration of human brain multi-omics<\/strong><\/p>\n<hr \/>\n<p>2023 &#8211; 2028: R01AG082185, National Institute of Health\/Aging<\/p>\n<p><strong>The adaptive-innate immune interactome across multiple tissues in Alzheimer&#8217;s disease<\/strong><\/p>\n<hr \/>\n<p>2021 &#8211; 2026: R01AG050986, National Institute of Health\/Aging<\/p>\n<p><strong>Higher Order Chromatin and Genetic Risk for Alzheimer&#8217;s Disease<\/strong><\/p>\n<hr \/>\n<p>2021 &#8211; 2025: R01MH125246, National Institute of Mental Health<\/p>\n<p><strong>Multiethnic genomic, epigenomic and transcriptomic fine-mapping and functional validation analysis of schizophrenia and bipolar disorder risk loci<\/strong><\/p>\n<hr \/>\n<p>2023 &#8211; 2025: Foundation for the NIH (FNIH)<\/p>\n<p><strong>STARNET &#8211; a multi-tissue omics resource obtained from living patients with cardiometabolic diseases<\/strong><\/p>\n<hr \/>\n<p>2020 &#8211; 2025: R01AG065582, National Institute of Health\/Aging<\/p>\n<p><strong>Understanding the protective and neuroinflammatory role of human brain immune cells in Alzheimer Disease<\/strong><\/p>\n<hr \/>\n<p>2019 &#8211; 2024: NIH\/NIMH\/Jefferson University <em>(Roussos Subaward PI)<\/em><\/p>\n<p><strong>mGluR5 hypoactivity is integral to glutamatergic dysregulation in schizophrenia<\/strong><em>\u00a0<\/em><\/p>\n<hr \/>\n<p>2021 &#8211; 2024: RF1MH128970, National Institute of Mental Health<\/p>\n<p><strong>A regulome and transcriptome atlas of fetal and adult human neurogenesis<\/strong><\/p>\n<hr \/>\n<p>2019 &#8211; 2024: R01DA047880, National Institute on Drug Abuse <em>(Roussos MPI)<\/em><\/p>\n<p><strong>Transcriptome and Epigenome Mapping in Dopamine Neurons from the Opioid Exposed Human Brain<\/strong><\/p>\n<hr \/>\n<p>2019 &#8211; 2024: R01AG067025, National Institute of Health\/Aging<\/p>\n<p><strong>Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer Disease<\/strong><\/p>\n<hr \/>\n<p>2018 &#8211; 2024: U01MH116442, National Institute of Mental Health <em>(Roussos MPI)<\/em><\/p>\n<p><strong>The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorder<\/strong><\/p>\n<hr \/>\n<p>2019 &#8211; 2024: U01DA048279, National Institute on Drug Abuse <em>(Roussos MPI)<\/em><\/p>\n<p><strong>Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease<\/strong><\/p>\n<hr \/>\n<p>2021 &#8211; 2023: U01NS125580, National Institute of Neurological Disorders and Stroke<\/p>\n<p><strong>Single-nucleus transcriptome profiling across multiple brain regions in Parkinson&#8217;s Disease<\/strong><\/p>\n<\/div>\n<div>\u00a0<\/div>\n<\/div>\n<div>\n<hr \/>\n<\/div>\n<div>\u00a0<\/div>\n<p><!--more--><\/p>\n<p><!--more--><\/p>\n<h2 class=\"paragraph\"><strong>Previous Funding<\/strong><\/h2>\n<div>\n<p>2018 &#8211; 2020: Merit BX004189, Veterans Administration (Roussos PI) Large-scale transcriptome and epigenome association analysis across multiple traits.<\/p>\n<p>2017 &#8211; 2020: R01AG057440, National Institute of Aging (Roussos M-PI) Towards a comprehensive signaling pathway map of parahippocampal vulnerability in Alzheimer\u2019s Disease.<\/p>\n<p>2017 &#8211; 2019: Boehringer Ingelheim, LTD (Roussos PI) Multiregional assessment of cell type specific epigenome and transcriptional profiling in human brain tissue.<\/p>\n<p>2016 &#8211; 2021: R01MH109677, National Institute of Mental Health (Roussos PI) Risk genetic variants and cis regulation of gene expression in Bipolar Disorder.<\/p>\n<p>2016 &#8211; 2021: R01MH109897, National Institute of Mental Health \u00a0(Roussos M-PI) Integrated Multiscale Networks in Schizophrenia.<\/p>\n<p>2016 &#8211; 2020: R01MH110921, National Institute of Mental Health (Roussos PI) Molecular Profiling of Schizophrenia.<\/p>\n<p>2016 &#8211; 2021: Presidential Early Career Awards for Scientists and Engineers (PECASE),\u00a0White House (Roussos PI)<\/p>\n<p>2015 &#8211; 2020: R01AG050986,National Institute of Aging (Roussos PI) Higher Order Chromatin and Genetic Risk for Alzheimer&#8217;s Disease.<\/p>\n<p>2015 &#8211; 2018: R01MH106056,National Institute of Mental Health (Roussos M-PI) Higher Order Chromatin and Genetic Risk for Schizophrenia.<\/p>\n<p>2013 &#8211; 2022: Merit BX002395,Veterans Administration (Roussos PI) Dissecting cis regulation of gene expression in schizophrenia.<\/p>\n<p>2016 &#8211; 2017: \u00a0 Research Grant,\u00a0Charleston Conference on Alzheimer&#8217;s Disease<\/p>\n<p>2015 &#8211; 2017: \u00a0 \u00a0NIRG-340998, Alzheimer\u2019s Association<\/p>\n<p>2013 &#8211; 2015: \u00a0 Young Investigator Award, National Alliance for Research on Schizophrenia and Depression (NARSAD)<\/p>\n<p>2013 &#8211; 2014: \u00a0 Research Grant,\u00a0American Psychiatric Association (APA)<\/p>\n<div>\n<div>\u00a0<\/div>\n<\/div>\n<div>\n<hr \/>\n<\/div>\n<div>\u00a0<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Team Header Section&#8221; module_id=&#8221;team&#8221; module_class=&#8221;team-section&#8221; _builder_version=&#8221;4.9.0&#8243;][et_pb_row use_custom_gutter=&#8221;on&#8221; admin_label=&#8221;Background image&#8221; _builder_version=&#8221;4.9.0&#8243; background_image=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2022\/12\/imageedit_1_2193521322.jpg&#8221; parallax=&#8221;on&#8221; width=&#8221;100%&#8221; max_width=&#8221;2000px&#8221; module_alignment=&#8221;center&#8221; height=&#8221;400px&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Contact Header Section&#8221; module_id=&#8221;contact&#8221; module_class=&#8221;contact-section&#8221; _builder_version=&#8221;4.9.0&#8243; background_image=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2021\/09\/Jessica-Brain-yt.jpg&#8221; parallax=&#8221;on&#8221; parallax_method=&#8221;off&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;||5em||false|false&#8221;][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; use_custom_gutter=&#8221;on&#8221; admin_label=&#8221;Contact&#8221; _builder_version=&#8221;4.9.0&#8243; module_alignment=&#8221;center&#8221; height=&#8221;600px&#8221; custom_margin=&#8221;||||false|false&#8221; custom_padding=&#8221;6em||||false|false&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_image src=&#8221;https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-content\/uploads\/sites\/222\/2021\/09\/Jessica-Brain.jpeg&#8221; title_text=&#8221;Jessica Brain&#8221; admin_label=&#8221;Jessica Johnson Image&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;80%&#8221; border_radii=&#8221;on|6px|6px|6px|6px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_text admin_label=&#8221;Contact&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;]<\/p>\n<h3 class=\"paragraph\"><strong>Contact Us<\/strong><\/h3>\n<p><strong>E-mail<\/strong><br \/>Dr. Panos Roussos<\/p>\n<p><strong>Phone<\/strong><br \/>Dr. Panos Roussos: (212) 824-8982<br \/>Dr. John Fullard: (212) 824-9125<\/p>\n<p><strong>Address<\/strong><br \/>Roussos Lab<br \/><strong>Icahn School of Medicine at Mount Sinai<\/strong><br \/>1470 Madison Ave<br \/><strong>The Leon and Norma Hess Center for Science and Medicine<\/strong><br \/>Floor 9, Room 302, Box 1639<br \/>New York, NY 10029<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_text admin_label=&#8221;Links&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;]<\/p>\n<h3 class=\"paragraph\"><strong>Links<\/strong><\/h3>\n<ul>\n<li><strong><a href=\"https:\/\/icahn.mssm.edu\/research\/neurogenomics\">Center for Disease Neurogenomics<\/a><\/strong><\/li>\n<li><strong><a href=\"http:\/\/icahn.mssm.edu\/\" target=\"_blank\" rel=\"noopener noreferrer\">Icahn School of Medicine at Mount Sinai<\/a><\/strong><\/li>\n<li><a href=\"http:\/\/icahn.mssm.edu\/departments-and-institutes\/psychiatry\" target=\"_blank\" rel=\"noopener noreferrer\">Department of Psychiatry<\/a><\/li>\n<li><a href=\"http:\/\/icahn.mssm.edu\/departments-and-institutes\/genomics\" target=\"_blank\" rel=\"noopener noreferrer\">Department of Genetics and Genomic Sciences \u2013 Icahn Institute for Genomics and Multiscale Biology<\/a><\/li>\n<li><a href=\"http:\/\/icahn.mssm.edu\/research\/institutes\/friedman-brain-institute\" target=\"_blank\" rel=\"noopener noreferrer\">Friedman Brain Institute<\/a><\/li>\n<li><a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn4921369\/wiki\/235539\" target=\"_blank\" rel=\"noopener noreferrer\" data-et-has-event-already=\"true\">PsychENCODE<\/a><\/li>\n<li><a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn2759792\/wiki\/69613\" target=\"_blank\" rel=\"noopener noreferrer\" data-et-has-event-already=\"true\">CommonMind Consortium<\/a><\/li>\n<li><a href=\"https:\/\/www.synapse.org\/#%21Synapse:syn2580853\/wiki\/66722\" target=\"_blank\" rel=\"noopener noreferrer\" data-et-has-event-already=\"true\">Accelerating Medicine Partnership for Alzheimer\u2019s Disease<\/a><strong>\u00a0<\/strong><\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Footer Section&#8221; _builder_version=&#8221;4.9.0&#8243; background_color=&#8221;#0a0a0a&#8221;][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_text admin_label=&#8221;Contact&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#FFFFFF&#8221; header_text_color=&#8221;#FFFFFF&#8221; background_layout=&#8221;dark&#8221;]<\/p>\n<p style=\"color: #fff\"><strong>Lab Location\u00a0<\/strong><br \/>1470 Madison Avenue<br \/><a href=\"http:\/\/icahn.mssm.edu\/about-us\/hess-center\">Hess Center<\/a>\u00a09-302 (Lab), 9-107 (Office)<br \/>New York, NY 10029<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][et_pb_text admin_label=&#8221;Mailing&#8221; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221; text_text_color=&#8221;#FFFFFF&#8221; header_text_color=&#8221;#FFFFFF&#8221; background_layout=&#8221;dark&#8221;]<\/p>\n<p style=\"color: #fff\"><strong>Mail Address:<br \/><\/strong>1470 Madison Avenue<br \/>Box 1639<br \/>New York, NY 10029<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.0&#8243; _module_preset=&#8221;default&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cWe generate single cell and cell type-specific multi-scale omics data in the human brain to better understand the genetic architecture and etiopathogenesis of neuropsychiatric diseases.\u201dPanos Roussos is a Professor of Psychiatry and Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai and Director of the Pamela Sklar Division of Psychiatric Genomics. [&hellip;]<\/p>\n","protected":false},"author":274,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-1156","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-json\/wp\/v2\/pages\/1156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-json\/wp\/v2\/users\/274"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-json\/wp\/v2\/comments?post=1156"}],"version-history":[{"count":56,"href":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-json\/wp\/v2\/pages\/1156\/revisions"}],"predecessor-version":[{"id":1831,"href":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-json\/wp\/v2\/pages\/1156\/revisions\/1831"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/roussos-lab\/wp-json\/wp\/v2\/media?parent=1156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}