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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货号
阵列数量
902922
10 阵列
902923
30 阵列
2 选项
货号 902922
价格(CNY)
-
阵列数量:
10 阵列
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
Why is strand-specificity important when performing Clariom D and Clariom S assays?
Clariom D arrays have probes that cover all known regions of transcription including probes in overlapping regions from both strands. To obtain strand-specific information from the Clariom D arrays, the WT Pico and WT Plus reagents (which are strand-specific) must be used. This is important because without strand-specific reagent, it would not be possible to decipher the source strand of DNA, which makes it challenging to untangle true gene- and exon- level expression and alternative splicing events.
Strand-specificity is significantly less important for customers interested in gene-level only information (i.e., those using Clariom S) as compared to customers who want to understand the complexities of the whole transcriptome including identifying antisense transcripts and ncRNA (i.e., those using Clariom D). While strand-specificity is less important for gene-level expression only, probes within regions of overlapping transcription from both strands are avoided in the Clariom S array design (unlike Clariom D). This is important because if Clariom S did not preserve strand-specificity, there could be an overestimation of gene-level expression causing false positive or negative results. With Clariom S having a "stranded" design, it does not necessarily need a strand-specific reagent kit.
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.