Ion 530™ 芯片试剂盒
Ion 530™ 芯片试剂盒
Ion Torrent™

Ion 530™ 芯片试剂盒

Green features
Ion 530 芯片试剂盒包含 8 个有条形码的芯片,可通过 Ion S5 和 Ion S5了解更多信息
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货号数量
A277648 chips
货号 A27764
价格(CNY)
-
数量:
8 chips
Ion 530 芯片试剂盒包含 8 个有条形码的芯片,可通过 Ion S5 和 Ion S5 XL 测序系统进行样品跟踪和测序。Ion 530 Chip 无需使用荧光即可对聚合酶驱动的碱基掺入进行电子检测。无需使用光学检测系统,这种先进的新一代测序技术可在短短 2.5 小时内快速完成 200 bp 测序。

Ion 530 芯片具有以下特性:

•通过集成条形码实现样品跟踪功能
• 运行快速,仅需 2.5–4 小时即可生成 15–20 百万reads
• 读取长度高达 600 bp 以支持多种研究应用,包括靶向基因测序和微生物测序
• 测序模板产品的处理和加载简单方便
• 与当前文库制备方法兼容

注:
该试剂盒仅与 Ion S5 和 Ion S5 XL 系统兼容。
将该试剂盒与 Ion 510 和 Ion 520 和 Ion 530 试剂盒-Chef、Ion 520 和 Ion 530 ExT 试剂盒-Chef 以及 Ion 520 和 Ion 530 试剂盒-OT2 配合使用。
仅供科研使用。不可用于诊断程序。
规格
适用于(设备)Ion GeneStudio S5 系统、Ion S5™ XL 系统
环保功能可持续处置
每芯片读取次数15-20M
产品类型芯片试剂盒
数量8 chips
运输条件室温
产品线Ion 530™
Unit SizeEach
内容与储存
室温保存

常见问题解答 (FAQ)

How many samples can I multiplex on a single chip for sequencing on the Ion PGM or Proton System?

The number of samples that can be multiplexed in a single sequencing run depends on the capacity of the chip, the size of the library, and the required coverage. A table of approximate capacities based on the size of the library and chip can be found in the Ion Ampliseq Preparation User Guide (https://tools.thermofisher.com/content/sfs/manuals/MAN0006735_AmpliSeq_DNA_RNA_LibPrep_UG.pdf) within the section “Strategies for combining Ion Ampliseq libraries.”

Find additional tips, troubleshooting help, and resources within our Next-Generation Sequencing Support Center.

For the Oncomine Lung Cell-Free Total Nucleic Acid Research Assay, what are the analysis workflows in Ion Reporter Software?

There are two analysis workflows available:

1. Oncomine TagSeq Lung v2 Liquid Biopsy - w2.0 - Single Sample: Detects and annotates low-frequency variants including SNPs/Indels (down to 0.1% limit of detection), Fusions, and CNVs from targeted nucleic acid libraries (DNA & RNA) from the Oncomine Lung Cell‑Free Total Nucleic Acid Research Assay. This is compatible with DNA & RNA purified from cell-free total nucleic acids.

2. Oncomine TagSeq Lung v2 Tumor - w2.0 - Single Sample: Detects and annotates low-frequency variants including SNPs/Indels (down to 0.5% limit of detection), fusions, and CNVs from targeted nucleic acid libraries (DNA & RNA) from the Oncomine Lung Cell-Free Total Nucleic Acid Research Assay. Due to deamination events caused by the FFPE process, the minimum alternative allele frequency is set to 0.3%. This makes it compatible with DNA & RNA purified from FFPE tumor tissue as well as fresh frozen tumor tissue.

Are there any BED files for the Oncomine Lung Cell-Free Total Nucleic Acid Research Assay?

Yes, there is a specific BED file and Hotspot file for the Oncomine Lung Cell-Free Total Nucleic Acid Research Assay. Please contact your local Field Application Specialist (FAS) or Clinical Application Consultant (CAC) to request the BED files.

What is the LOD (limit of detection) for the Oncomine Lung Cell-Free Total Nucleic Acid (cfNA) Research Assay?

Through the use of Tag Sequencing technology, low limits of detection (LOD) can be achieved for different variant types*:

- For SNVs/short indels, an LOD of 0.1% can be achieved with sensitivity of ˜90% and specificity of >99%
- For fusions & MET exon skipping, an LOD of 1% can be achieved with sensitivity of >90% and specificity of >99%
- For MET CNV target, detection as low as 1.2-fold amplification can be achieved with sensitivity of >90% and specificity of >99%

*Sensitivity and specificity for each variant type were determined using a collection of contrived positive samples and cfNA isolated from normal healthy donors.

Does the Oncomine Lung Cell-Free Total Nucleic Acid Research Assay use AmpliSeq technology?

No, this assay uses Tag Sequencing technology. Cell-free DNA (cfDNA) and cell-free RNA (cfRNA) are found at extremely low concentrations in the plasma fraction of whole blood. Because of this low prevalence, Taq Sequencing technology is utilized in this assay. The technology attaches unique molecular tags to the gene-specific primers. After amplification, the tagged molecules are grouped based on the tags. Groups containing the same mutant variant 80% of the time or greater will be called positive. Using the Tag technology, groups that contain random errors generated through the library construction/sequencing process are removed.