采用用于人类样品的 Clariom D Assay(新一代的转录组水平表达谱分析工具),可以更快速地从转录组深处发现生物标记物。Clariom D Assay 可详细显示转录组细节视图,采用更快的路径获取研究所需结果了解更多信息
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902915
10 reactions
货号 902915
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数量:
10 reactions
价格(CNY)
1,000,000,000.00
Each
添加至购物车
采用用于人类样品的 Clariom D Assay(新一代的转录组水平表达谱分析工具),可以更快速地从转录组深处发现生物标记物。Clariom D Assay 可详细显示转录组细节视图,采用更快的路径获取研究所需结果。Clariom D Assay 可让转录研究科学家快速简单地得到高保真度的生物标记物特征。这些检测的新设计基于行业领先的微阵列技术,提供了较为复杂的全转录组范围基因水平和外显子水平的表达谱,包括在为期三天的单一实验中,检测编码和长链非编码 (lnc)RNA 的选择性剪接事件的能力。
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)
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
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.