Unknown,Transcriptomics,Genomics,Proteomics

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Detection of Cancer with Serum miRNAs on an Oligonucleotide Microarray


ABSTRACT: Micro RNAs (miRNAs) are a class of small, non-coding RNA species that play critical roles throughout cellular development and regulation. miRNA expression patterns taken from various tissue types often point to the cellular lineage of an individual tissue Arrays for serum miRNA analysis were constructed with 547 human miRNA sequences obtained from the Sanger Database version 10.0 which appeared on 8/2/07. Because of limited space on the array, the probe list was modified to exclude a few newer miRNAs that had recently been added. The array includes miRNA probes for all studies referenced by this paper. Three probes were written for each miRNA: an anti-sensed wild-type version, a double-mutant control probe, and a sense control version. Antisense controls were not included if the corresponding antisense miRNA existed in the databases. The double mutant control mutations were screened in order to maintain the same notional melting temperature (Tm) as the wild-type Tm. They were also designed to avoid perturbing or creating any secondary structure that might appear in the wild-type probe. In addition to the 547 human miRNAs, we also included as controls, four sheep, three C. elegans, and two human sequences.

ORGANISM(S): Homo sapiens

SUBMITTER: Brooke Anderson 

PROVIDER: E-GEOD-16512 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Detection of cancer with serum miRNAs on an oligonucleotide microarray.

Lodes Michael J MJ   Caraballo Marcelo M   Suciu Dominic D   Munro Sandra S   Kumar Amit A   Anderson Brooke B  

PloS one 20090714 7


Micro RNAs (miRNAs) are a class of small, non-coding RNA species that play critical roles throughout cellular development and regulation. miRNA expression patterns taken from various tissue types often point to the cellular lineage of an individual tissue type, thereby being a more invariant hallmark of tissue type. Recent work has shown that these miRNA expression patterns can be used to classify tumor cells, and that this classification can be more accurate than the classification achieved by  ...[more]

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