<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lim CS</submitter><funding>State Major Research and Development Program of China</funding><funding>NICHD NIH HHS</funding><funding>Howard Hughes Medical Institute</funding><funding>NIMH NIH HHS</funding><funding>National Institute of Health</funding><funding>National Natural Science Foundation of China</funding><funding>NIAAA NIH HHS</funding><funding>NINDS NIH HHS</funding><funding>Chinese Ministry of Education</funding><funding>National Honor Scientist Program of Korea</funding><funding>Robert Wood Johnson Foundation</funding><funding>Japan Society for the Promotion of Science</funding><pagination>537-552</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5393050</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>31(6)</volume><pubmed_abstract>Rapid advances in genetics are linking mutations on genes to diseases at an exponential rate, yet characterizing the gene-mutation-cell-behavior relationships essential for precision medicine remains a daunting task. More than 350 mutations on small GTPase &lt;i>BRaf&lt;/i> are associated with various tumors, and ∼40 mutations are associated with the neurodevelopmental disorder cardio-facio-cutaneous syndrome (CFC). We developed a fast cost-effective lentivirus-based rapid gene replacement method to interrogate the physiopathology of BRaf and ∼50 disease-linked BRaf mutants, including all CFC-linked mutants. Analysis of simultaneous multiple patch-clamp recordings from 6068 pairs of rat neurons with validation in additional mouse and human neurons and multiple learning tests from 1486 rats ident</pubmed_abstract><journal>Genes &amp; development</journal><pubmed_title>BRaf signaling principles unveiled by large-scale human mutation analysis with a rapid lentivirus-based gene replacement method.</pubmed_title><pmcid>PMC5393050</pmcid><funding_grant_id>AA023797</funding_grant_id><funding_grant_id>R01 NS089578</funding_grant_id><funding_grant_id>R37 NS036715</funding_grant_id><funding_grant_id>R01 NS092548</funding_grant_id><funding_grant_id>NSFC81625006</funding_grant_id><funding_grant_id>MH64856</funding_grant_id><funding_grant_id>NSFC31471024</funding_grant_id><funding_grant_id>NS089578</funding_grant_id><funding_grant_id>NSFC30728012</funding_grant_id><funding_grant_id>NRF2016R1D1A1B03931525</funding_grant_id><funding_grant_id>R01 AA023797</funding_grant_id><funding_grant_id>NS065183</funding_grant_id><funding_grant_id>F30 MH108321</funding_grant_id><funding_grant_id>MH108321</funding_grant_id><funding_grant_id>R01 NS053570</funding_grant_id><funding_grant_id>R00 NS065183</funding_grant_id><funding_grant_id>R01 MH064856</funding_grant_id><funding_grant_id>R21 NS094980</funding_grant_id><funding_grant_id>NS053570</funding_grant_id><funding_grant_id>R01 HD064743</funding_grant_id><funding_grant_id>R01 NS036715</funding_grant_id><funding_grant_id>K99 NS065183</funding_grant_id><funding_grant_id>NS091452</funding_grant_id><funding_grant_id>NS092548</funding_grant_id><funding_grant_id>HD064743</funding_grant_id><funding_grant_id>R01 NS091452</funding_grant_id><funding_grant_id>NRF2012R1A3A1050385</funding_grant_id><funding_grant_id>B13026</funding_grant_id><funding_grant_id>NS036715</funding_grant_id><funding_grant_id>2016YFA0500400</funding_grant_id><pubmed_authors>Araki Y</pubmed_authors><pubmed_authors>Kang X</pubmed_authors><pubmed_authors>Chang Q</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Lim CS</pubmed_authors><pubmed_authors>Choi S</pubmed_authors><pubmed_authors>Wang S</pubmed_authors><pubmed_authors>Hoang ET</pubmed_authors><pubmed_authors>Pang ZP</pubmed_authors><pubmed_authors>Zhu JJ</pubmed_authors><pubmed_authors>Bu Q</pubmed_authors><pubmed_authors>Mirabella V</pubmed_authors><pubmed_authors>Shen Y</pubmed_authors><pubmed_authors>Kaang BK</pubmed_authors><pubmed_authors>Huganir RL</pubmed_authors></additional><is_claimable>false</is_claimable><name>BRaf signaling principles unveiled by large-scale human mutation analysis with a rapid lentivirus-based gene replacement method.</name><description>Rapid advances in genetics are linking mutations on genes to diseases at an exponential rate, yet characterizing the gene-mutation-cell-behavior relationships essential for precision medicine remains a daunting task. More than 350 mutations on small GTPase &lt;i>BRaf&lt;/i> are associated with various tumors, and ∼40 mutations are associated with the neurodevelopmental disorder cardio-facio-cutaneous syndrome (CFC). We developed a fast cost-effective lentivirus-based rapid gene replacement method to interrogate the physiopathology of BRaf and ∼50 disease-linked BRaf mutants, including all CFC-linked mutants. Analysis of simultaneous multiple patch-clamp recordings from 6068 pairs of rat neurons with validation in additional mouse and human neurons and multiple learning tests from 1486 rats ident</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Mar</publication><modification>2026-05-30T08:56:17.351Z</modification><creation>2019-03-27T02:41:24Z</creation></dates><accession>S-EPMC5393050</accession><cross_references><pubmed>28404629</pubmed><doi>10.1101/gad.294413.116</doi></cross_references></HashMap>