GeneChip™ CHO 基因 2.1 ST 阵列板
GeneChip™ CHO 基因 2.1 ST 阵列板
Applied Biosystems™

GeneChip™ CHO 基因 2.1 ST 阵列板

Comprehensive designThe Chinese hamster ovary (CHO) cell lines were introduced in the 1960-s and has become an extremely important tool了解更多信息
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货号 902147
价格(CNY)
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Comprehensive design
The Chinese hamster ovary (CHO) cell lines were introduced in the 1960-s and has become an extremely important tool for biomedical research biopharmaceutical manufacturing. Their rapid growth, stable gene expression profiles and high protein production makes them ideal for both research studies and for the production of therapeutic proteins.

To help further your research and improve manufacture yield, we have introduced the Applied Biosystems™ CHO Gene 2.1 ST Array Plates, with an expression array design that provides the highest coverage of the transcribed genome. We use a comprehensive collection of information sources to design probes that interrogate up to 23 unique sequences of each transcript. This design strategy provides you with the ability to evaluate whole-transcriptome gene expression at the gene and exon levels, which allows the study of transcript variants and alternative splicing events.

This unique array design is based on the most recent genome content and offers the high probe coverage of every transcript measured by this array. The high transcript coverage of this array design yields accurate detection for genome-wide transcript expression changes and provides higher resolution and accuracy than other classical 3--biased microarray solutions on the market. The whole-transcriptome 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.

Applied Biosystems CHO Gene 2.1 ST Array Plates are designed exclusively for Applied Biosystems GeneTitan™ Instrument–the hands-free microarray system that allows you to process 16, 24, or 96 samples in parallel. For more information on GeneTitan Instrument, please visit our GeneTitan Instrument Page.

Key benefits
• Whole-transcript analysis the capture of transcript isoforms you may miss with 3--biased expression designs
• Comprehensive transcriptome coverage provides the best opportunity to discover interesting biology:
   - >21,000 protein coding transcripts
   - >19,000 Entrez genes
   - Measure alternative splicing events/transcript variants with probes designed to maximize coverage of exons
   - Reproducible: Signal correlation coefficient ≥0.99

Content profile
See Fig. 1 and Fig. 2 (attached) for summaries of the array content and data sources used to design Applied Biosystems CHO Gene 2.1 ST Array Plates.
For Research Use Only. Not for use in diagnostic procedures.
规格
产品线GeneChip™
数量1 plate
类型CHO 基因 2.1 ST 阵列板
数组转录组谱分析
产品规格阵列板和托盘
阵列数量96 阵列
种属中国仓鼠
Unit SizeEach

常见问题解答 (FAQ)

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.