<HashMap><database>NODE</database><scores/><additional><omics_type>Transcriptomics</omics_type><submitter>Xiaojuan Fan</submitter><technology_type>RNA-Seq</technology_type><full_dataset_link>https://www.biosino.org/node/experiment/detail/OEX00001816</full_dataset_link><experiment_platform>Illumina HiSeq 2500</experiment_platform><experiment_library_layout>Paired</experiment_library_layout><experiment_library_selection>RANDOM</experiment_library_selection><experiment_mate_pair>N</experiment_mate_pair><sample_count>1</sample_count><taxonomy>['Synthetic plasmid']</taxonomy><experiment_protocol>A library of random 10-nt sequences was inserted before the start codon of circRNA-coded GFP, which was transfected into 293T cells to generate circRNAs that can be translated into intact GFP.  The cells with active circRNA translation (i.e. green cells) can be recovered with fluorescence activated cell sorting (FACS), and the inserted decamers can be subsequently sequenced to identify the IRES-like elements that drive circRNA translation.</experiment_protocol><repository>NODE</repository></additional><is_claimable>false</is_claimable><name>circRNA sequencing</name><description>To systematically identify additional sequences that drive circRNA translation, we adopted an unbiased screen approach originally developed to identify splicing regulatory cis-elements.</description><dates><publication>2020-09-29</publication><submission>2019-07-24</submission></dates><accession>OEX00001816</accession><cross_references><NODE>OEP00000400</NODE></cross_references></HashMap>