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Homo sapiens (human) highly accelerated region 1A (HAR1A) URS0000CCE0EA_9606

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HAR1A: HAR1A is a noncoding RNA that is specifically expressed in Cajal-Retzius neurons in the developing human neocortex, suggesting its role in neurogenesis [PMC8063340]. Altered expressions of HAR1A and HAR1B have been implicated in the tumorigenesis of various cancers, with their clinical significance varying depending on the cancer type [PMC8063340]. In glioma patients, HAR1A is identified as a protective factor with a hazard ratio (HR) less than 1 [PMC8954967]. Additionally, HAR1A is one of the seven PRlncRNAs included in a prognostic risk score (PRLS) for cancer patients [PMC9907962]. The human accelerated region (HAR) transcripts, including HAR1A and HAR1B, have been detected through PolyA-seq analysis [PMC3371698]. In lung adenocarcinoma (LUAD), bioinformatics analysis has identified significantly differentially expressed lncRNA HAR1A, and its deficiency is associated with poor clinical outcomes [PMC9221461]. References: - [PMC8063340]: Pollard KS et al. The human Accelerated Region 1 noncoding RNA is repressed by REST in Huntington's disease. Physiol Genomics. 2022 Jan 01;54(2):54-64. doi: 10.1152/physiolgenomics.00110.2020. - [PMC8954967]: Zhang Y et al. Identification of lncRNA prognostic risk score for glioma patients through integrated analysis of expression profiles and functional annotations. J Transl Med. 2020 Jan 8;18(1):13. - [PMC9907962]: Zhang Y et al. Identification of lncRNA prognostic risk score for cancer patients through integrated analysis of expression profiles and functional annotations. Mol Genet Genomic Med. 2021 Jan;9(1):e1569. doi: 10.1002/mgg3.1569. - [PMC3371698]: Nam JW et al. Global analyses of the effect of different cellular contexts on microRNA targeting. Mol Cell. 2014 Jan 23;53(2):103-13. - [PMC9221461]: Zhang Y et al. Identification of lncRNA prognostic risk score for lung adenocarcinoma based on integrated analysis of expression profiles and functional annotations. Aging (Albany NY). 2020 Nov 23;12(22):22879-22898. doi: 10.18632/aging/104146

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Gene Ontology annotations

Sequence

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GGGAGUGUUGAGGGGGCCUGAAGGGUUCCGCUCCUCCCACCCAGGGAACCGCCAUGCCACUAGUGGGCUGUCCUGGAGACUCGGGGAGAAAGCACACAGGCUGUCGGGAAAGGUGGGUCGCAGGCGGGCAGGGCAGCCCUGCUGUACUGAUGGGCAGGCGCUGGGUGGGUGGAAGGCAAAGCCAUCAGGUCAUCCCCCUCUCUGUCCCUGCAUUGGGCCAACCAGGUGUGUCAGGAGGAUAUUUGACCAUUCCUGAGAGGCACAUUCUCUCUCUCUCUCUCUCUCUCCCUCUCUCUCUCUCCCUCUCUCUCUCCCUCUCUCCCUCUCUCUCCCUCUCUCUCCCUCUCUCUCCCUCUCCCUCUCUCUCUCCCUCUCCCUCUCUCCCCCCUCCCUCUCCCUCCCUCUCCCCCUCUCCCUCUCCCUCUCUCCCCCUCCCUCUCUCUCCCUCUCUCUCCCUCUCUCUCCCCCUCUCUCUCCCUCCUCUCUCUGUCACACACAUUUGCACAUCCUGCAGUGUGAAUGGAGUAUGAAUGUGUGUGGUAGGCGACAGCUGUGUGUGUACGUCCGGGUGCGUGUGUGCGUGUGUACAUGUGAGCGUGUGUGCACGUGAGUUAGAGCCUGAGUGUCCCCUGCGUGGGUUAGUGUGUGCGCCCGCCCGGUGCCCUCCGUCUUGGGAGUCUGGGCUGCUGCUCCGCGGGCUCUGGAGCCGGCGCUCCCCACGAGCCCGGACUCUCCGCCGCGCCCGGGAGCUGCGCAAUCGGCUGCUAAGACGCCGGCGCCACCGGCUGGGCCCUGUUCUCCCCUCUCUUUUCUACAGUCUUACCCGCAGCUGACAGGGUUCGAAAGAGCAUGAAACGGAGGAGACGUUACAGCAACGUGUCAGCUGAAAUGAUGGGCGUAGACGCACGUCAGCGGCGGAAAUGGUUUCUAUCAAAAUGAAAGUGUUUAGAGAUUUUCCUCAAGUUUCAAAUGAGGCGAAUCCCGUUUUCCGCGAUGCUGCAGCGCGCGGGUUUUAACCGCAGGGUCACGCGGAACGCCGCGCCGCGCGACUGUGCCUCGGUCUCUGCGCCCGGCUCUCCCUCCGGUCCGCAAGAGGAGGAAGGCCCGCGGCGUGCCGAGGUCAGCGGCGCGGAGCCACCAGGCGAGACGGUCACGGACGCCUGAACCGAGGUCACCGAGGCCACGGGGCCGGGAGGCCCUCAGCAGAGCCCGGGGGCUCCGCACCUCAAGGCCGGCCAGGAAGAAACAGCAGCAGGAGCCCAGGGCGCCCCGGGGAGCCCCCGACACGCGGGCCGAGCGCCCAGAGCGGCCCAGGCCCUCGCGAGGAGACCGGCCUCCCCAGGGCGGGGCUUCCGACUCGGGCGCCCGUGAGCCCCGGAGGCGGCGCGAAGGGGCAGAGUCCGCGUUUCUAACCAGCCCCCGGGUGGGCGGUGGCCCGCGCGGCACGGUGGGCGCGAGCGCCGUGGGCUGGGGCCGGCCUGGGCUUUCAGGGCGAGGGCUUUCCGCGCCGGCCCCAGCCCACCCGGCCCCGCUGCGCGCCCCUCACGCUGCAGCCUGGGAACCUGGGCCGGGAGCUGCGGGCCGCUCCGGGGAAGCGGGCCUGACCUCCCCUCCCCACCGCCGCCCCUGCGGUGAGAUCCUGCCUGCCGGGGCGCAGGGGCCCGCGGUUGGGCUCCGGGAGACGGAAGAGGCCCCACAGCUCGGGCCCCACGCAGUGGACGCUGCCACUUAAUUUUGGCGUAAUUGAUGUCAAGGCGGGUGCCCGGGCCCCCAGUGAAAUGCCUCAUGAACUCGCUGCGAGGAACGGCGCUCCACGCGGUGCACGGUGGCCAAUCAGAGCUGCCGCUUCUGAUGGAGGCUGAGCCGGCUGGGGAGGCGUCUUGGCCAAGAACCAGCCCCAGCCUCGCUCAGGGCCCCAACCCGCAGACCAUGUAAUUAAGCUGCGUUCUGCAGCCAGGGCAAGAGUCUCAGCUCUGAACAUCUUCCCGCACCUCUGAGGAGCCAGGCCUGGAAACCCUCUAAAAUAGAUUUUUCUGCCUCAAGACAGAAGAUGGGCGUUCCAGGCAGAGAAGAGCUGCCCAGUCACGUGCUCUGCUCCACCUGGUCAGAGACCCUUGACCUUUAGAAGACUGGACCUGAGGGCGUGGCUGGUGGACCUGAGGGCGUGGAUGGUGGACCUGGCCACCCAGCUGUAGCUUUUUGGGUUCCUGUGGUCCCAUUUCUUGGGUCAAUCUCACACCUGGCAGCUCCCAGGAAGACACCCCCAGGCCCCUCACACUCCUGGGGGCAGCUGGAAUUGGCUUCAGGGCGGGACCAGGGGCCCCAUGGGUGUUUGGAAUCCCUGAUCUGGGUCAGGCACCGGCAGCAGGAUUCCAGCCUGGCCUGGACUCUGGUGUGUCCCGUUUGAAGAAACCCCGCCCUGUGAAAGUUCAAGUUUAGCAUCCAAUGACCCAUUUAAGAGGUUUGCUGAGCCACGUCACAGGAGGGUCUGGGUGCAAACGGAGGUGGCAACACACAGAGCGAGCCUUGAGCACCCAGGUUACCCCCAGGACCUCCAGUCUGGCUUGGGGGCUCCUGCUGUCCUGUGGAGCAGCCCCCUGGGAUCAGGGACGGGGCUGAGCUGGAGAGUGUGCAGGAUUGAUUAAUGAUGUCUGCCACGGUCAGGCCAACUGCUGUGUUUCUGGGGCCCACAAGCUAAAAAUGGUUGGAAAAAAAUCAAAACAUUAAUAUUUGUGACAUAUGAGAAUGCUAUGAAAGUCAACUUUGCUAUCCAUAAAUAAAGUUUUAUUGACAUAAAAAAAAAAAAAAAAAA

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