Matches in UGent Biblio for { <https://biblio.ugent.be/publication/1167513#aggregation> ?p ?o. }
Showing items 1 to 43 of
43
with 100 items per page.
- aggregation classification "A1".
- aggregation creator B285548.
- aggregation creator B285549.
- aggregation creator B285550.
- aggregation creator B285551.
- aggregation creator B285552.
- aggregation creator B285553.
- aggregation creator B285554.
- aggregation creator B285555.
- aggregation creator B285556.
- aggregation creator B285557.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1167513.bibtex.
- aggregation hasFormat 1167513.csv.
- aggregation hasFormat 1167513.dc.
- aggregation hasFormat 1167513.didl.
- aggregation hasFormat 1167513.doc.
- aggregation hasFormat 1167513.json.
- aggregation hasFormat 1167513.mets.
- aggregation hasFormat 1167513.mods.
- aggregation hasFormat 1167513.rdf.
- aggregation hasFormat 1167513.ris.
- aggregation hasFormat 1167513.txt.
- aggregation hasFormat 1167513.xls.
- aggregation hasFormat 1167513.yaml.
- aggregation isPartOf urn:issn:0305-1048.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Medicine and Health Sciences".
- aggregation title "Deep sequencing reveals differential expression of microRNAs in favorable versus unfavorable neuroblastoma".
- aggregation abstract "Small non-coding RNAs, in particular microRNAs(miRNAs), regulate fine-tuning of gene expression and can act as oncogenes or tumor suppressor genes. Differential miRNA expression has been reported to be of functional relevance for tumor biology. Using next-generation sequencing, the unbiased and absolute quantification of the small RNA transcriptome is now feasible. Neuroblastoma(NB) is an embryonal tumor with highly variable clinical course. We analyzed the small RNA transcriptomes of five favorable and five unfavorable NBs using SOLiD next-generation sequencing, generating a total of > 188 000 000 reads. MiRNA expression profiles obtained by deep sequencing correlated well with real-time PCR data. Cluster analysis differentiated between favorable and unfavorable NBs, and the miRNA transcriptomes of these two groups were significantly different. Oncogenic miRNAs of the miR17-92 cluster and the miR-181 family were overexpressed in unfavorable NBs. In contrast, the putative tumor suppressive microRNAs, miR-542-5p and miR-628, were expressed in favorable NBs and virtually absent in unfavorable NBs. In-depth sequence analysis revealed extensive post-transcriptional miRNA editing. Of 13 identified novel miRNAs, three were further analyzed, and expression could be confirmed in a cohort of 70 NBs.".
- aggregation authorList BK566766.
- aggregation endPage "5928".
- aggregation issue "17".
- aggregation startPage "5919".
- aggregation volume "38".
- aggregation aggregates 1167531.
- aggregation isDescribedBy 1167513.
- aggregation similarTo gkq342.
- aggregation similarTo LU-1167513.