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Biomedical Product——RNA-Seq (Transcriptome) of xenograft tumor samples
- 规格:
100 µg/0.5 ml
Introduction
Human tumor xenografts constitute the major efficacy and tumor biology models for cancer drug discovery. Tumors can be maintained by serial xenografting in athymic (nude) or severe combined immunodeficient (SCID) mice (Teicher 2009). Sequences that are very similar between the two genomes may be impossible to deconvolute, however. The similar sequences between human and mouse covers nearly 13% of the human genome. A variation in a human sequence can masquerade as a mouse sequence if the novel human variation now matches a mouse sequence perfectly. Simulations suggest that the confusion cannot be detectable in a mixture, regardless of the level of sequencing coverage achieved (Ming-Tseh Lin and Tseng 2010). Thus, the pivotal duty is to exclude the possibility of mouse genomic DNA contamination.RNA‐Seq (Transcriptome) is a powerful tool to measure mRNA expression and detect SNP, RNA editing, alternative splicing and gene fusions, which may contribute to the cancer development.
In BGI, there are two strategies for the xenograft tumor transcriptome sequencing, which both take into account the non-malignant contamination in xenograft largely from murine cells.
Sample requirement:
RNA-Seq (xenograft samples):Sample condition: Integrated total RNA samples that are treated by DNase; Avoid protein contamination during RNA isolation; Sample quantity: total RNA ≥ 5 μg; Sample concentration: ≥ 80 ng/μl; Sample purity: OD260/280 = 1.8~2.2; OD260/230 ≥ 2.0; 28S:18S > 1.0 and RIN ≥ 7.0
WGRS (host mouse samples):
Sample condition: DNA samples without degradation and RNA contamination; Sample quantity demanded: ≥ 6 μg; Sample concentration: 50-200 ng/μl; Sample purity: OD260/280 =1.8~2.0.
Data Delivery
All of the data shall be delivered via either BGI FTP site or hard drive.风险提示:丁香通仅作为第三方平台,为商家信息发布提供平台空间。用户咨询产品时请注意保护个人信息及财产安全,合理判断,谨慎选购商品,商家和用户对交易行为负责。对于医疗器械类产品,请先查证核实企业经营资质和医疗器械产品注册证情况。
文献和实验High-Throughput RNA Sequencing in B-Cell Lymphomas
High-throughput mRNA sequencing (RNA-seq) uses massively parallel sequencing to allow an unbiased analysis of both genome-wide transcription levels and mutation status of a tumor. In the RNA-seq method, complementary DNA (cDNA) is used
microRNA detection platform to identify genes that are induced by IFNα in hepatoma- or melanoma-derived human tumor cell lines. Despite the enormous differences in expression levels between these models, we were able to identify microRNAs
Materials Human breast primary tumor tissue, metastasis tissue, effusion samples (fresh; the quantity usually varies) or fresh tumorgrafts derived from mice
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