Clariom™ D 阵列,小鼠
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Applied Biosystems™

Clariom™ D 阵列,小鼠

小鼠 Clariom™ D 测定,以前被称为 GeneChip™ 小鼠转录组阵列 1.0 (MTA 1.0.)使用 Clariom了解更多信息
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货号阵列数量
9025112 阵列
货号 902511
价格(CNY)
1,000,000,000.00
Each
添加至购物车
阵列数量:
2 阵列
价格(CNY)
1,000,000,000.00
Each
添加至购物车
小鼠 Clariom™ D 测定,以前被称为 GeneChip™ 小鼠转录组阵列 1.0 (MTA 1.0.)
使用 Clariom D 检测(下一代转录组水平表达谱分析工具),可以从转录组深处加速发现生物标记物。Clariom D 检测可详细显示转录组细节视图,采用最快路径得到可操作结果。Clariom D 分析可用于人类、小鼠和大鼠,让转录研究科学家快速而简单地得到高保真度的生物标记物签名。基于业界领先的微阵列技术,新型 Clariom D 分析设计提供较复杂的转录组范围内的基因和外显子水平的表达谱,包括在三天的实验中检测编码和长非编码 (lnc) RNA 的选择性剪接事件的能力。

扩大发现新型信息生物标志物的潜力。
近年来,已知转录基因的数量迅速增长,为可操作的生物标记物提供了更多的来源,例如转录本变体和 lncRNA,可用于临床应用,并加深了我们对疾病机制的理解。冗长、复杂且昂贵的测序和靶向表达方法可能会遗漏此类生物标记物,导致无法复制标记并且浪费时间和成本。

Clariom D 测定全面覆盖转录的基因组,包括所有已知的编码和非编码剪接变体,与临床样品类型兼容以及灵活的数据分析软件,Clariom D 是翻译研究人员进行复杂表达生物标志物发现研究并希望较快获得稳健临床相关以及可操作结果的主要工具

获取您需要的所有数据。
•使用来自最大数量公共数据库(小鼠转录组的最全面覆盖)的 >214,000 个转录本快速识别复杂疾病特征。
•可靠地检测产生编码 RNA 和 lncRNA 亚型的基因、外显子和其他选择性剪接事件。
•检测罕见的低表达转录本,而一般的测序方法检测不到这类转录本。
•借助直观、高度可视的免费分析软件,在几分钟之内即可从数据获得洞察力。

对于贵重样品,可一举成功。
• 可从总 RNA 量低至 100 pg 的样品中–以及低至 10 个细胞样品中,生成具有可靠性的表达谱。
•使用来自不同样品类型的 RNA,包括血液、细胞、新鲜/新鲜冷冻或 FFPE 组织。
•该检测可保持样品完整性并降低数据变异性,且无需球蛋白或 rRNA 去除步骤。

Clariom D 解决方案以单一样品(检测盒阵列)格式提供,可在 GeneChip ™ 3000 仪器系统上使用,包括试剂和快速简单的转录组分析控制台 (TAC) 软件,该软件可分析和显示基因、外显子、通路和选择性剪接事件。

获得所需要的覆盖范围、所需的可重现性以及有意在发现中发挥作用的结果。
仅供科研使用。不可用于诊断程序。
规格
阵列转录组谱分析
阵列数量2 阵列
产品线Applied Biosystems
数量2 arrays
种属小鼠
产品规格过柱
Unit SizeEach

常见问题解答 (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.

Which fluidics script should I run with Clariom D arrays?

We recommend using Fluidics Script FS450_0001 for Clariom D arrays (Human, Mouse, Rat).

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

Why is it important to use Tough-Spots® labels when using GeneChip cartridge arrays?

Tough-Spots® labels are small adhesive stickers used to temporarily seal the backs of cartridge arrays during the overnight hybridization step. They are required to prevent loss of volume due to evaporation through the septa. We recommend using Tough-Spots® labels on Rolls from USA Scientific (Item No. 9185-0000)

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

What are the respective hybridization volumes based on array format for Affymetrix gene expression arrays?

Proper hybridization volume is critical to obtaining an even signal across a given array. Too little volume can lead to black circles in the middle of the array. Too much volume can leak out of the back of the array. The correct hybridization volume leaves enough room for a small air bubble to circulate around the array surface during the overnight hybridization. Here are the recommended hybridization and fill volumes based on the array format:
Array Format; Hybridization Volume; Fill Volume
- 49 Format (Standard); 200 µL; 250 µL
- 64 Format; 200 µL; 250 µL
- 100 Format (Midi); 130 µL; 160 µL
- 169 Format (Mini); 80 µL; 100 µL
- 400 Format (Micro); 80 µL; 100µL

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.