{{get_dataset_fail}}




{{section.text}} {{section.text}} {{section.text}} {{section.text}} {{dataset.name}}


Background: MicroRNAs (miRNAs) are 22-nt small non-coding regulatory RNAs that have generally been considered to regulate gene expression at the post-transcriptional level in the cytoplasm. However, recent studies have reported that some miRNAs localize to and function in the nucleus. Methodology/Principal Findings: To determine the number of miRNAs localized to the nucleus, we systematically investigated the subcellular distribution of small RNAs (sRNAs) by independent deep sequencing the nuclear and cytoplasmic pools of 18- to 30-nucleotide sRNAs from human cells. We identified 339 nuclear and 324 cytoplasmic known miRNAs, 300 of which overlap, suggesting that the majority of miRNAs are imported into the nucleus. With the exception of a few miRNAs evidently enriched in the nuclear pool, such as the mir-29b, the ratio of miRNA abundances in the nuclear fraction versus in the cytoplasmic fraction vary to some extent. Moreover, our results revealed that a large number of tRNA 3' trailers are exported from the nucleus and accumulate in the cytoplasm. These tRNA 3' trailers accumulate in a variety of cell types, implying that the biogenesis of tRNA 3' trailers is conserved and that they have a potential functional role in vertebrate cells. Conclusion/Significance: Our results provide the first comprehensive view of the subcellular distribution of diverse sRNAs and new insights into the roles of miRNAs and tRNA 3' trailers in the cell Discovery and characterization of small RNA species through deep sequencing of nuclear and cytoplasmic small RNA fractions from 5-8F cells, a nasopharyngeal carcinoma cell line.

ABSTRACT: {{section.text}} {{section.text}} {{section.text}} {{section.text}} {{abstract_sections[abstract_sections.length-1].tobeReduced=='true'?"... [more]":""}} [less]

SAMPLE PROTOCOL: {{section.text}} {{section.text}} {{section.text}} {{section.text}} {{sample_protocol_sections[sample_protocol_sections.length-1].tobeReduced=='true'?"... [more]":""}} [less]

DATA PROTOCOL: {{section.text}} {{section.text}} {{section.text}} {{section.text}} {{data_protocol_sections[data_protocol_sections.length-1].tobeReduced=='true'?"... [more]":""}} [less]

REANALYSIS of: {{reanalysis_item.accession}}

REANALYZED by: {{reanalyzed_item.accession}}

OTHER RELATED OMICS DATASETS IN: {{reanalysis_item.accession}}

INSTRUMENT(S): {{instrument+';'}}

ORGANISM(S): {{organism.name + ';'}}

TISSUE(S): {{tissue+';'}}

DISEASE(S): {{disease+';'}}

SUBMITTER: {{dataset['submitter']}}

PROVIDER: {{acc}} | {{repositories[domain]}} | {{dataset['publicationDate']}}

{{publication_info[publication_index_info[dataset.publicationIds[current_publication]]].title}}

{{author.fullname.substr(0,author.fullname.length-2)}} ,

{{publication_info[publication_index_info[dataset.publicationIds[current_publication]]].citation}}


Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

ABSTRACT: {{publication_info[publication_index_info[dataset.publicationIds[current_publication]]].pub_abstract[0]}}
{{publication_info[publication_index_info[dataset.publicationIds[current_publication]]].pub_abstract[1]}} [less]

ABSTRACT: {{publication_info[publication_index_info[dataset.publicationIds[current_publication]]].pub_abstract[0]|limitTo:500}} {{publication_info[publication_index_info[dataset.publicationIds[current_publication]]].pub_abstract[0].length>500?"... [more]":""}}

Publication: {{current_publication +1}}/{{dataset.publicationIds.length}}

{{dataset.publicationIds[current_publication].publicationDate}}


Only show the datasets with similarity scores above:{{threshold}}

Threshold:
    {{threshold}}
     

The biological similarity score is calculated based on the number of molecules (Proteins, Metabolites, Genes) common between two different projects.

Similar Datasets

  • Organism: {{organism["name"]}} Not available
    {{relatedDataset['publicationDate'].substr(0,4)+"-"+relatedDataset['publicationDate'].substr(4,2)+"-"+relatedDataset['publicationDate'].substr(6,2)}}| {{relatedDataset.id}} | {{repositories[relatedDataset.source]}}