GeneChip™ miRNA 4.0 Assay
GeneChip™ miRNA 4.0 Assay
Applied Biosystems™

GeneChip™ miRNA 4.0 Assay

Many diseases, including cancer, are frequently described as diseases of disordered gene expression. It is estimated that more than 30%Read more
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Catalog NumberNo. of Samples
90244510 Samples
90244630 Samples
Catalog number 902445
Price (USD)
3,945.00
Each
Add to cart
No. of Samples:
10 Samples
Price (USD)
3,945.00
Each
Add to cart
Many diseases, including cancer, are frequently described as diseases of disordered gene expression. It is estimated that more than 30% of protein translation of coding genes is regulated by miRNA. There is also a large amount of growing evidence suggesting miRNA interacts with long non-coding RNA in the signaling networks that regulate alternative splicing events, which impacts cellular processes such as apoptosis, proliferation, and differentiation– all of which have shown to be causative elements in diseases such as cancer.

Measuring the changes in these critical nodes of regulation is extremely important for deciphering the biological context of differentially expressed genes. This array design is a powerful tool for studying the role of small non-coding RNAs and their involvement in a broad spectrum of developmental and physiological mechanisms.

To keep pace with the discovery of new and novel miRNA, we are pleased to offer the GeneChip™ miRNA 4.0 Array and Flashtag™ Bundle to our growing catalog of miRNA arrays. This array offers updated content with the same high performance as the previous-generation array.

GeneChip miRNA 4.0 Arrays help bring you closer to biology with:
Comprehensive coverage – Designed to interrogate all mature miRNA sequences in miRBase Release 20
Easily correlate miRNA results – Analysis files contain host gene ID, predicted and validated miRNA target genes, and clustered miRNA information
Easy analysis – Analyze human, mouse, rat, or every miRNA for all species using the same array
Low sample input – Requires as little as 130 ng total RNA
Simple, fast, and free analysis solution – Coupled with Expression Console™ Software and Transcriptome Analysis Console (TAC) Software, researchers have a complete solution from data to decision-making in minutes

For Research Use Only. Not for use in diagnostic procedures.
Specifications
FormatArray Cartridge
RNAi TypemiRNA
SpeciesAll
For Use With (Application)Microarray Analysis
No. of Samples10 Samples
Number of Arrays10 Arrays
Product LineGeneChip™
Product TypemiRNA 4.0 Assay
Unit SizeEach

Frequently asked questions (FAQs)

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.

Find additional tips, troubleshooting help, and resources within our Microarray Analysis Support Center.

What is the orientation of the probes on the Thermo Fisher Scientific miRNA arrays?

Probes on the array detect sense target.

Find additional tips, troubleshooting help, and resources within our Microarray Analysis Support Center.

I would like to check my miRNA Array data with qRT-PCR. In addition to my miRs of interest, what other qRT-PCR controls should I run?

At least 5 miRs or SnoRNAs should be used to normalize:

RU44, RU48, and/or U6 microRNAs that are not changed among your samples, and are at least 5X over background, according to your microarrays. These miRs might include miR 15,16, 17, or let 7a, let 7b, let7c

All 5 (or more) of these RNAs should not show any change among the samples. Average some or all of these to get the normalization factor, and apply to your qRT-PCR data.

Find additional tips, troubleshooting help, and resources within our Microarray Analysis Support Center.

Can you explain the correlation of miRNA Array data to miRNA qPCR data?

qPCR is not yet the gold standard for miRNA validation. Unlike mRNA validation, in which the amplicon is already present in the sample, miRNA qPCR requires the amplicon to be synthesized by combining the sample with either a specially designed hairpin molecule, adding a 3' polyA tail, or some other manipulation of the microRNA sample. The amplicon-building process will be different from sample to sample and will result in variability in the PCR results. However, it is still very important to validate the array results with another method, like PCR. The trends in up and down regulation should match in direction, even if they do not match in magnitude.

Find additional tips, troubleshooting help, and resources within our Microarray Analysis Support Center.

Are there any articles that describe miRNA Array data analysis?

F Sato. Intra-Platform Repeatability and Inter-Platform Comparibility of microRNA microarray technology. PLoS ONE May 2009, volume 4, issue 5, e5540.
D Sarkar. Quality Assessment and data analysis for microRNA expression arrays. Nucleic Acids Research 2009, vol. 37, no. 2, e17 (doi: 10.1093/ner/gkn932).

Find additional tips, troubleshooting help, and resources within our Microarray Analysis Support Center.