GeneChip™ Human Genome U133 Plus 2.0 Array
GeneChip™ Human Genome U133 Plus 2.0 Array
Applied Biosystems™

GeneChip™ Human Genome U133 Plus 2.0 Array

GeneChip™ Human Genome U133 Plus 2.0 Array初めてかつ最も包括的なヒト全ゲノム発現アレイの利点• 便利なワンアレイ ビュー。•Human詳細を見る
製品番号(カタログ番号)アレイの数
9004666 arrays
90046730 arrays
製品番号(カタログ番号) 900466
価格(JPY)
820,800
6 arrays
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アレイの数:
6 arrays
GeneChip™ Human Genome U133 Plus 2.0 Array

初めてかつ最も包括的なヒト全ゲノム発現アレイの利点
• 便利なワンアレイ ビュー。
•Human Genome U133 Set を完全に網羅し、さらに 47,000 超の転写物を解析するための 6,500 の遺伝子を追加で含みます。
•プローブセットの威力を活かして各転写物について複数の独立した測定を行うことで、マイクロアレイプラットフォームで最も高い精度および再現性を実現します。
•GeneChip System: より充実したデータでより深い発見を

アレイプロファイル
GeneChip Human Genome U133 Set を代表する全てのプローブセットは GeneChip Human Genome U133 Plus 2.0 Array に含まれます。これらのプローブセットの配列は GenBank™、dbEST、および RefSeq から選別されています。配列クラスターは UniGene database (Build 133、2001 年 4 月 20 日) に基づいて構築され、Washington University EST trace repository、University of California, Santa Cruz Golden-Path human genome database (2001 年 4 月にリリース) など多くの公開データベースと比較解析して改良されています。

さらに、約 6,500 の遺伝子に対応する 9,921 のプローブセットがあります。これらの遺伝子配列は GenBank, dbEST、RefSeq から選別されています。配列クラスターは UniGene database (Build 159、2003 年 1 月 25 日) に基づいて構築され、Washington University EST trace repository、NCBI human genome assembly (Build 31) など多くの公開データベースと比較解析して改良されています。
For Research Use Only. Not for use in diagnostic procedures.
仕様
製品ラインGeneChip
数量6 arrays
アレイTranscriptome Profiling
フォーマットArray Cartridge
アレイの数6 arrays
Human
Unit Size6 arrays

よくあるご質問(FAQ)

What reagent kit should I use with my array?

Please refer to the Microarray Reagent Guide for Arrays and Expression Kits to match the correct reagents your array.

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

How are transcript IDs assigned for WT arrays if a gene has multiple transcript IDs?

The first assigned mRNA/gene that is listed in the annotation file for a given probe set or transcript cluster is considered the "best" assignment based on data source quality ranking and assignment scoring system. To get a single best mRNA/gene assignment you can simply take the first one in the list in the annotation file.

Sometimes, there might be multiple best hits between transcript clusters (or probe set) and a mRNA/gene, with identical score and data source quality. In that case, the transcript assignments are ranked based on their descriptions (e.g., title from the GenBank record).

For transcript clusters that detect genes that are alternatively spliced, the different spliced forms will be ranked by length with the longest ones listed first.

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

Does the GeneChip miRNA 3.1 Array Strip require a different hyb/wash/stain kit than the GeneChip 3' IVT arrays and GeneChip ST array strips?

The hyb/wash/stain kit for the GeneChip miRNA 3.1 Array Strips is different than that for the 3' IVT arrays and GeneChip ST array strips. Additional wash A steps have been added to ensure adequate washing after the array strips have been stained.

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

What do the suffixes mean at the end of each probeset in GeneChip 3' IVT arrays?

The probe set names never change, but they can give you an idea of what was known about the sequence at the time of design.
_at: All probes hit one known transcript.
_a: All probes in the set hit alternate transcripts from the same gene.
_s: All probes in the set hit transcripts from different genes.
_x: Some probes hit transcripts from different genes.

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

Can I store my GeneChip 3' IVT Array after hybridization?

Yes, but we recommend storing your GeneChip 3' IVT Array after hybridization and prior to the fluidics step, for no longer than 3 hours at 4 degrees C. Please remove the hybridization cocktail and fill with wash A before storing.

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