<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shamie I</submitter><funding>Novo Nordisk Foundation</funding><funding>NIDA NIH HHS</funding><funding>Cancer Research Institute Irvington Postdoctoral Fellowship Program</funding><funding>National Institutes of Health</funding><funding>National Institute of General Medical Sciences</funding><funding>Novo Nordisk Fonden</funding><funding>NIGMS NIH HHS</funding><pagination>lqab061</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8276764</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>3(3)</volume><pubmed_abstract>Chinese hamster ovary (CHO) cells are widely used for producing biopharmaceuticals, and engineering gene expression in CHO is key to improving drug quality and affordability. However, engineering gene expression or activating silent genes requires accurate annotation of the underlying regulatory elements and transcription start sites (TSSs). Unfortunately, most TSSs in the published Chinese hamster genome sequence were computationally predicted and are frequently inaccurate. Here, we use nascent transcription start site sequencing methods to revise TSS annotations for 15 308 Chinese hamster genes and 3034 non-coding RNAs based on experimental data from CHO-K1 cells and 10 hamster tissues. We further capture tens of thousands of putative transcribed enhancer regions with this method. Our re</pubmed_abstract><journal>NAR genomics and bioinformatics</journal><pubmed_title>A Chinese hamster transcription start site atlas that enables targeted editing of CHO cells.</pubmed_title><pmcid>PMC8276764</pmcid><funding_grant_id>GM134366</funding_grant_id><funding_grant_id>AI135972</funding_grant_id><funding_grant_id>NNF16OC0021638</funding_grant_id><funding_grant_id>NNF20SA0066621</funding_grant_id><funding_grant_id>K99 GM135515</funding_grant_id><funding_grant_id>U01 DA051972</funding_grant_id><funding_grant_id>R01 GM134366</funding_grant_id><funding_grant_id>K99GM135515</funding_grant_id><funding_grant_id>NNF10CC1016517</funding_grant_id><funding_grant_id>R00 GM135515</funding_grant_id><funding_grant_id>NNF21SA0066621</funding_grant_id><pubmed_authors>Tao J</pubmed_authors><pubmed_authors>Xiong K</pubmed_authors><pubmed_authors>Duttke SH</pubmed_authors><pubmed_authors>Han CZ</pubmed_authors><pubmed_authors>Shamie I</pubmed_authors><pubmed_authors>Benner C</pubmed_authors><pubmed_authors>Karottki KJC</pubmed_authors><pubmed_authors>Glass CK</pubmed_authors><pubmed_authors>Kildegaard HF</pubmed_authors><pubmed_authors>Hefzi H</pubmed_authors><pubmed_authors>Li S</pubmed_authors><pubmed_authors>Lewis NE</pubmed_authors><pubmed_authors>Lee GM</pubmed_authors><pubmed_authors>Hansen AH</pubmed_authors><pubmed_authors>Roth SJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Chinese hamster transcription start site atlas that enables targeted editing of CHO cells.</name><description>Chinese hamster ovary (CHO) cells are widely used for producing biopharmaceuticals, and engineering gene expression in CHO is key to improving drug quality and affordability. However, engineering gene expression or activating silent genes requires accurate annotation of the underlying regulatory elements and transcription start sites (TSSs). Unfortunately, most TSSs in the published Chinese hamster genome sequence were computationally predicted and are frequently inaccurate. Here, we use nascent transcription start site sequencing methods to revise TSS annotations for 15 308 Chinese hamster genes and 3034 non-coding RNAs based on experimental data from CHO-K1 cells and 10 hamster tissues. We further capture tens of thousands of putative transcribed enhancer regions with this method. Our re</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Sep</publication><modification>2026-04-08T06:54:55.079Z</modification><creation>2022-02-10T20:45:38.284Z</creation></dates><accession>S-EPMC8276764</accession><cross_references><pubmed>34268494</pubmed><doi>10.1093/nargab/lqab061</doi></cross_references></HashMap>