GeneChip™ Rat Gene 2.1 ST Array Plate
GeneChip™ Rat Gene 2.1 ST Array Plate
Applied Biosystems™

GeneChip™ Rat Gene 2.1 ST Array Plate

The Rat Gene 2.1 ST 24-Array Plate and Trays enables high-throughput expression profiling of 24 samples at a time usingRead more
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Catalog NumberNumber of Arrays
90214496 arrays
90214324 arrays
Catalog number 902144
Price (CNY)
-
Number of Arrays:
96 arrays
The Rat Gene 2.1 ST 24-Array Plate and Trays enables high-throughput expression profiling of 24 samples at a time using the same content as the industry-standard GeneChip™ Rat Gene 1.0 ST Array.

Comprehensive design
We understand that rats are an important model organism commonly used for studying human disease. In order to keep your experiments relevant to the understanding of the transcriptome, we have designed an array based on the most recent genome content for generating genome-wide expression profiles.

The GeneChip Gene ST family of arrays offers a unique feature not available in other microarrays. Unlike traditional array designs that rely on a probe(s) designed to the first exon of the gene's 3' end, the hundreds of thousands of probes on each Gene ST Array Plate are designed to every exon of every transcript represented on the array.

The high transcript coverage (median of 22 probes per gene) yields accurate detection for genome-wide transcript expression changes. These arrays provide higher resolution and accuracy than many of the classical 3'-biased microarray solutions available. The whole-transcript analysis approach enables researchers to detect multiple transcript isoforms from a given gene, including those that could be missed using a 3'-biased expression design, such as splice variants, non-polyadenylated transcripts, transcripts with alternative polyadenylation sites, and truncated transcripts.

Key benefits
• Whole-transcript analysis enables the capture of transcript isoforms you may miss with 3'-biased expression designs• Comprehensive transcriptome coverage provides the best opportunity to discover interesting biology:
   - >27,000 protein coding transcripts
   - >24,000 Entrez genes
• Measure alternative splicing events/transcript variants with probes designed to maximize coverage of exons
• Reproducible: Signal correlation coefficient ≥0.99

Content profile
Since the design of Rat Gene 1.1 ST Array Plates (sold separately), there has been a substantial increase in the structural and functional understanding of the rat genome. This increase in knowledge includes the identification of a large number of long intergenic lincRNA that have been identified by the research community. In order to provide the research community with a tool that can measure the differential expression of this exciting class of RNA transcripts, we designed the Rat Gene 2.1 ST Array Plates.
For Research Use Only. Not for use in diagnostic procedures.
Specifications
Product LineGeneChip™
Quantity1 x 96 array plate
TypeRat Gene 2.1 ST Array Plate
ArrayTranscriptome Profiling
FormatArray Plate and Trays
Number of Arrays96 arrays
SpeciesRat
Unit SizeEach

Frequently asked questions (FAQs)

What is contained in the tab-delimited format of the GeneChip probe sequence download file?

The tab-delimited probe sequence file contains the following information:
-Probe Set Name
-Probe X: The X coordinate of the probe sequence on the GeneChip probe array.
-Probe Y: The Y coordinate of the probe sequence on the GeneChip probe array.
-Probe Interrogation Position: The base position on the consensus/exemplar sequence where the central base of the probe aligns, which is the 13th base of a 25mer probe.
-Probe Sequence: The 25-base perfect match sequence.
-Target Strandedness: The sense/antisense orientation of the target sequence that can hybridize with the probe sequence.

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

What is the NetAffx Analysis Center?

The NetAffx Analysis Center used to contain information and files regarding array content, probe sets, and functional annotations. However, the NetAffx Analysis Center has been retired. Much of the content provided by the NetAffx Analysis Center can now be accessed on the arrays’ thermofisher.com product pages or by contacting Technical Support (techsupport@thermofisher.com).

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

Is the hybridization mix for cartridges the same as the hybridization mix for PEG arrays (array plates)?

The hybridization mix for PEG arrays is different from the hybridization mix for cartridges. The concentrations of the hybridization mix are different and in addition, DMSO is not added into the hybridization mix for PEG arrays because it can affect the glue that holds the PEG to the plate.

What is an Event Score in TAC 4.0 Software?

TAC 4.0 includes two algorithms for identifying alternative splicing events: the TAC 2.0 algorithm and the new EventPointer. Algorithmic determination of alternate splicing remains a challenging problem. TAC 4.0 supports two different approaches that have different sets of strengths and weaknesses. After considerable testing, the new TAC 4.0 “'Event Score” leverages both previous TAC 2.0 event estimation score and Event Pointer p-value and sorts the most likely alternative splicing events to the top. Of course, the TAC 2.0 event score and EventPointer p-values remain individually available.

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

What are the new software components of TAC 4.0?

LIMMA: LIMMA stands for Linear Models for MicroArray data. It is an R/Bioconductor software package that provides an integrated solution for analyzing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, LIMMA has been a popular choice for gene discovery through differential expression analyses of microarray data. There are ˜8000 citations using LIMMA and Affymetrix arrays. The TAC 4.0 interface exposes the core differential expression analysis functionality including real covariates and random factors. In addition, the interface simplifies the creation of the design and contrast matrices that specify the experimental design and comparisons for the analysis.

Batch Effect Adjustment: Batch effects are systematic changes in microarray sample intensities that reflect changes in the assay sometimes found in different batches. These effects occur more commonly in larger studies in which all of the samples cannot be processed at the same time. TAC 4.0 enables the interface to the ComBat batch adjustment algorithm, which can remove the batch effects from the signals.

EventPointer: EventPointer is a Bioconductor package that identifies alternative splicing events in microarray data. TAC 4.0 incorporates an interface to this package.

Exploratory Grouping Analysis: Exploratory Grouping Analysis (EGA) is an interface to a set of R packages that offer the ability to examine the relationships between multiple microarray samples. While the scientist typically has a preconceived idea regarding the classification of the samples in an experiment, the resulting data often show additional substructure due to unexpected biological differences or batch effects. The EGA interface enables the identification of this substructure. Biological differences can be further explored using LIMMA differential expression analysis. Batch effects can be removed using ComBat to prevent them from obscuring the biology of interest.

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