Where can I find the species information for your GeneChip miRNA arrays?
The species information can be found in the annotation file of the miRNA array of interest.
Please complete the following steps:
- Go to www.thermofisher.com and go to the product page of the array of interest.
- Scroll down to support files.
- Download the annotation files for the miRNA array of interest, and open in excel.
- In the file, there will be a column, species scientific name. This column will have all the species present on the array.
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For GeneChip miRNA arrays, are External RNA Controls Consortium (ERCC) controls tiled on the array?
The ERCC controls are not tiled onto GeneChip miRNA arrays because they would not work with the miRNA array/assay system. The FlashTag Biotin HSR RNA Labeling Kits used to label miRNAs is optimized for shortRNAs. Even though longer mRNAs like the ERCC controls will be labeled, the HWS (hyb/wash/stain) conditions are not optimal and consequently, the longer mRNAs typically do not get detected.
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Which of the gene arrays are compatible with the miRNA interaction network in Transcriptome Analysis Console (TAC) Software?
The miRNA interaction network in TAC Software is available for all gene arrays, including model organisms. To have the interaction network available, the same samples must have been processed through both the gene array and the miRNA array. Additionally, the gene array being used must have a gene symbol column displayed in their annotation.
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Does GeneChip miRNA 4.0 Array contain any feline miRNA content?
No, GeneChip miRNA 4.0 Array does not contain any microRNAs specific to felines.
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How are sno/sca and hairpin probe sets selected and how does that impact my signal summarization?
Probes for snoRNA, scaRNA, and hairpins are selected to maximize probe response to target concentration in the sample while minimizing cross-hybridization to other potential targets in the sample. In order to minimize cross-hybridization, potential targets are inferred from the landscape of known sequences from the input dataset and used in a filtering process called pruning which penalizes probe candidates that may cross-hybridize to unwanted targets. As the landscape of known sequences improves, we can improve our pruning set to avoid probe candidates previously thought to be unique. An improved pruning set will reduce the chances a probe will cross-hybridize to unwanted target, improving the probe set representation of the intended target. As a result of the improved probe selection, few probe sets are required to represent the same number of sequences.
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