{"id":747,"date":"2022-05-16T15:20:49","date_gmt":"2022-05-16T15:20:49","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/?page_id=747"},"modified":"2022-11-07T20:11:20","modified_gmt":"2022-11-07T20:11:20","slug":"science","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/science\/","title":{"rendered":"Science"},"content":{"rendered":"

[et_pb_section bb_built=”1″ inner_width=”auto” inner_max_width=”1080px”][et_pb_row][et_pb_column type=”1_2″ custom_padding__hover=”|||” custom_padding=”|||”][et_pb_text _builder_version=”4.9.0″ text_text_shadow_horizontal_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength=”text_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength=”link_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength=”ul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength=”ol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength=”quote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length=”header_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength=”header_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength=”header_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ z_index_tablet=”0″]<\/p>\n

What\u2019s Our Vision?<\/h3>\n
\n

Give us your genome<\/strong>, and we will accurately predict your disease risks<\/strong> and drug targets<\/strong>\u2014so you can benefit from personalized diagnostics, prevention, and treatment.<\/p>\n<\/blockquote>\n

[\/et_pb_text][et_pb_image _builder_version=”4.9.0″ src=”https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-content\/uploads\/sites\/276\/2022\/07\/Screen-Shot-2022-07-08-at-5.19.41-PM.png” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ z_index_tablet=”0″ \/][\/et_pb_column][et_pb_column type=”1_2″ custom_padding__hover=”|||” custom_padding=”|||”][et_pb_image _builder_version=”4.9.0″ src=”https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-content\/uploads\/sites\/276\/2022\/11\/Screen-Shot-2022-11-07-at-2.56.28-PM.png” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ z_index_tablet=”0″ \/][\/et_pb_column][\/et_pb_row][et_pb_row][et_pb_column type=”4_4″ custom_padding__hover=”|||” custom_padding=”|||”][et_pb_text 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header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ z_index_tablet=”0″]<\/p>\n

How do we get there?\u00a0<\/strong><\/h3>\n

Here are selected examples of the scientific research done by our team:\u00a0<\/strong><\/p>\n

\n

We identified common risk variants in Alzheimer\u2019s disease (Nat Neuro 2017<\/strong>) and rare pathogenic variants in Cancer (Cell 2018<\/strong>) while leading national\/international genomics consortia projects.<\/p>\n<\/blockquote>\n

\n

We specifically characterized genomes of patients from diverse ancestry populations (Cancer Cell 2020<\/strong>,\u00a0Genome Med 2020<\/em><\/strong>,\u00a0Genome Med 2021<\/em><\/strong>): to ensure that we’re advancing precision medicine for all.\u00a0<\/p>\n<\/blockquote>\n

\n

We linked the identified mutations to likely treatment responses to targeted or immuno-therapy (Cell Rep Med 2021<\/em><\/strong>,\u00a0Cancers 2021<\/em><\/strong>,\u00a0Cell Reports 2021<\/strong><\/em>).<\/p>\n<\/blockquote>\n

\n

To further bridge the gaps between genetics and treatments, we integrated proteomics data to validate genomic findings and identify new drug targets (Nat Comm 2017<\/strong>, Front Onc 2022<\/strong><\/em>).<\/p>\n<\/blockquote>\n

\n

To decode downstream impacts of genetic variants, we built multi-omics software (MCP 2019<\/strong>,\u00a0Nat Comm 2021<\/strong>,\u00a0PSB 2021<\/strong><\/em>,\u00a0Comm Bio 2021<\/em><\/strong>) and publicly shared all codes.\u00a0<\/p>\n<\/blockquote>\n

PI Huang\u2019s\u00a0first\/co-first author research article: (bold); <\/strong>last-author research article: (bold italic)<\/em><\/strong><\/p>\n

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header_3_text_shadow_vertical_length=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength=”header_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength=”header_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength=”header_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength=”header_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ z_index_tablet=”0″]<\/p>\n

What\u2019s missing, and what we are working on?\u00a0<\/strong><\/h3>\n
\n

To predict disease risk or treatment, the current precision medicine paradigm often relies on single genetic mutations\/markers, thus disregarding much of the useful genomic information. Using national\/Mount Sinai biobank-scale genomic cohorts, we are actively developing Machine-Learning (ML) models that can more accurately predict disease risks and treatments using the full genome profile, with a focus on incorporating rare and structural variants (SV) in diverse populations<\/strong>.<\/p>\n<\/blockquote>\n

\n

With 3 billion base pairs of DNA in a genome, it is difficult to identify critical genetic variants in complex diseases. We have effectively prioritized variants by resolving their downstream consequences on the transcriptome, proteome, and structures in cellular, spatial, and longitudinal resolution, with strong interests in protein targets directly related to functions and druggability<\/strong>.<\/p>\n<\/blockquote>\n

\n

While genes identified from large-scale genomic cohorts can enrich for drug targets, most would still fail in pre-clinical development or clinical trials. We have developed methods to triage the target gene space by integrating multi-omics\u2014in particular those from reverse genetics screens\u2014thus achieving 10X improvement in pinpointing druggable genes<\/strong>.<\/p>\n<\/blockquote>\n

Acknowledgment<\/strong><\/h3>\n

We dedicate our work to study participants, patients, and their family. We thank the health workers at ISMMS and all institutions. And our research would not be possible without funding from these sources:<\/p>\n

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*The top figure includes adopted icons created by Freepik, eotatah, and dDara – Flaticon.<\/p>\n

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\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div> What\u2019s Our Vision? Give us your genome, and we will accurately predict your disease risks and drug targets\u2014so you can benefit from personalized diagnostics, prevention, and treatment.
\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div> How do we get there?\u00a0Here are selected examples of the scientific research done by our team:\u00a0We identified common risk variants in Alzheimer\u2019s disease (Nat Neuro 2017) […]<\/p>\n","protected":false},"author":300,"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-747","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-json\/wp\/v2\/pages\/747","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-json\/wp\/v2\/users\/300"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-json\/wp\/v2\/comments?post=747"}],"version-history":[{"count":29,"href":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-json\/wp\/v2\/pages\/747\/revisions"}],"predecessor-version":[{"id":826,"href":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-json\/wp\/v2\/pages\/747\/revisions\/826"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/kuanhuanglab\/wp-json\/wp\/v2\/media?parent=747"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}