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%Más información
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Número de catálogoN.º de muestras
90244510 Samples
90244630 Samples
Número de catálogo 902445
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N.º de muestras:
10 Samples
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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.
Especificaciones
Para utilizar con (aplicación)Microarray Analysis
N.º de muestras10 Samples
Número de arrays10 Arrays
Línea de productosGeneChip™
Tipo de productomiRNA 4.0 Assay
Cantidad10 samples
FormatoArray Cartridge
RNAi TypemiARN
EspecieAll
Unit SizeEach
Have questions about this product? Ask our AI assisted search.
What are the recommended OD 260:280 ratios for input RNA for downstream array analysis with miRNA GeneChip microarrays?
Are there any articles that describe miRNA Array data analysis?
Should I enrich my total RNA for miRNA for downstream miRNA array analysis?
How should I quantitate my RNA for downstream miRNA array analysis?
How are sno/sca and hairpin probe sets selected and how does that impact my signal summarization?
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Preguntas frecuentes

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.

Probes on the array detect sense target.

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

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.

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.

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.

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