Matches in Nanopublications for { ?s ?p ?o <http://rdf.disgenet.org/resource/nanopub/NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance>. }
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- source_evidence_literature type ECO_0000212 NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.
- source_evidence_literature label "DisGeNET evidence - LITERATURE" NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.
- source_evidence_literature comment "Gene-disease associations inferred from text-mining the literature." NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.
- NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_assertion description "[Employing miRNA microarray and stem-loop real-time RT-PCR, we identify four novel miRNAs, miR-144, miR-146a, miR-150 and miR-182 in addition to four previously reported diabetes-related miRNAs, miR-192, miR-29a, miR-30d and miR-320a, as potential signature miRNAs that distinguished IFG and T2D.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.
- NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_assertion evidence source_evidence_literature NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.
- NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_assertion SIO_000772 21829658 NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.
- NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_assertion wasDerivedFrom befree-20150227 NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.
- NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_assertion wasGeneratedBy ECO_0000203 NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.
- befree-20150227 importedOn "2015-02-27" NP995907.RA2saBqVa7hRSxPnkxdTnT-N9a3EUp3X4ucid6-jeg06k130_provenance.