<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ni TK</submitter><funding>Howard Hughes Medical Institute</funding><funding>NHGRI NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>E3640-9</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3780872</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>110(38)</volume><pubmed_abstract>Despite considerable efforts to sequence hypermutated cancers such as melanoma, distinguishing cancer-driving genes from thousands of recurrently mutated genes remains a significant challenge. To circumvent the problematic background mutation rates and identify new melanoma driver genes, we carried out a low-copy piggyBac transposon mutagenesis screen in mice. We induced eleven melanomas with mutation burdens that were 100-fold lower relative to human melanomas. Thirty-eight implicated genes, including two known drivers of human melanoma, were classified into three groups based on high, low, or background-level mutation frequencies in human melanomas, and we further explored the functional significance of genes in each group. For two genes overlooked by prevailing discovery methods, we fou</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pubmed_title>Low-copy piggyBac transposon mutagenesis in mice identifies genes driving melanoma.</pubmed_title><pmcid>PMC3780872</pmcid><funding_grant_id>T32 GM007499</funding_grant_id><funding_grant_id>T32 HG003198</funding_grant_id><pubmed_authors>Landrette SF</pubmed_authors><pubmed_authors>Bosenberg MW</pubmed_authors><pubmed_authors>Ni TK</pubmed_authors><pubmed_authors>Xu T</pubmed_authors><pubmed_authors>Bjornson RD</pubmed_authors></additional><is_claimable>false</is_claimable><name>Low-copy piggyBac transposon mutagenesis in mice identifies genes driving melanoma.</name><description>Despite considerable efforts to sequence hypermutated cancers such as melanoma, distinguishing cancer-driving genes from thousands of recurrently mutated genes remains a significant challenge. To circumvent the problematic background mutation rates and identify new melanoma driver genes, we carried out a low-copy piggyBac transposon mutagenesis screen in mice. We induced eleven melanomas with mutation burdens that were 100-fold lower relative to human melanomas. Thirty-eight implicated genes, including two known drivers of human melanoma, were classified into three groups based on high, low, or background-level mutation frequencies in human melanomas, and we further explored the functional significance of genes in each group. For two genes overlooked by prevailing discovery methods, we fou</description><dates><release>2013-01-01T00:00:00Z</release><publication>2013 Sep</publication><modification>2026-04-13T17:59:34.747Z</modification><creation>2026-04-07T13:36:26.178Z</creation></dates><accession>S-EPMC3780872</accession><cross_references><pubmed>24003131</pubmed><doi>10.1073/pnas.1314435110</doi></cross_references></HashMap>