Monitoring gene expression and transcriptome changes with cancer RNA sequencing (RNA-Seq) can aid in understanding tumor classification and progression. Cancers accumulate numerous genetic changes, but typically only a few drive tumor progression. Cancer RNA-Seq can help scientists:
对编码区或整个癌症转录组进行测序可以提供有关肿瘤基因表达变化的重要信息。癌症RNA-Seq能够检测链特异性信息,这是基因调控的重要组成部分。癌症转录组测序能同时捕获编码R和非编码RNA,并为完整的表达动态视图提供链方向。
深入了解RNA-Seq靶向RNA扩增子测序能分析特定癌症基因的表达。预设计的癌症基因表达panel专注于p53和NFκB等相关通路。研究人员可以添加定制内容来扩大实验范围。
深入了解靶向RNA-Seq福尔马林固定石蜡包埋(FFPE)肿瘤样本中可能包含有关癌症发病机理和结果的重要信息。FFPE样本中通常含有部分降解的RNA,因此,对其进行癌症RNA-Seq可能会面临挑战。新一代RNA-Seq方法能让研究人员获得这些重要数据,并从降解的RNA和FFPE来源的RNA中获得高质量结果。
深入了解FFPE RNA-SeqNGS can provide careful analysis of the cancer genome, and efficiently assess the tumor microenvironment as a real-time, highly sensitive monitor of immune marker expression in response to tumor growth or treatment.
Learn MoreProfessors discuss how they use emerging single-cell sequencing technologies to capture the transcriptome, epigenome, epitranscriptome and proteome, to study tumor heterogeneity, cancer progression, and more.
View WebinarSwetha Anandhan from Dr. Padmanee Sharma's lab at MD Anderson Cancer Center highlights the use of single-cell RNA-Seq to identify CD73 as a combinatorial target in glioblastoma.
View WebinarIntegration of DNA sequencing with RNA sequencing and other techniques can help determine the functional effects of cancer mutations in non-coding regions.
View WebinarBy combining the analysis of RNA sequencing and image data, Professor Zlatko Trajanoski’s lab has devised a powerful workflow to enable immuno-oncology discoveries.
View WebinarResearchers at Weizmann Institute use DNA, RNA and epigenetic sequencing approaches to investigate how immune system cells interact with healthy tissue and tumor cells.
Read ArticleDr. Åke Borg at Lund University discusses classification of breast tumors into subtypes based on patterns of gene expression, DNA methylation, nucleotide substitutions, and genomic rearrangements.
Listen to PodcastIllumina为癌症RNA-Seq提供了多种文库制备、测序和数据分析选项。一体化的文库制备工作流程和灵活的试剂盒配置适合多种研究设计。Illumina系统提供业界领先的数据质量——事实上,全世界约90%的测序数据是用Illumina边合成边测序(SBS)技术产生的。
BaseSpace Sequence Hub中的一键式应用软件简化了数据分析,这样,您就可以减少花在数据分析上的时间,将更多的时间用于下一次的突破。
点击下方的查看工作流程各步骤所使用的产品。
靶向1385个肿瘤基因,可用于包括FFPE在内的所有RNA样本类型的基因表达、变异和融合检测。
TruSight Tumor 170检测导致实体瘤进展的单核苷酸位点变异(SNV)、扩增以及融合的全面panel。
TruSeq RNA Exome可重现且经济的编码RNA测序方法,适用于FFPE样本和其他低质量样本。
AmpliSeq for Illumina Custom RNA Fusion Panel用于检测融合基因和测定基因表达的可定制靶向panel。
精确测量mRNA链方向,用于检测反义转录,发现替代转录本、基因融合和等位基因特异性表达。
TruSeq Stranded Total RNA Library Prep Kit可扩展的全转录组分析解决方案,可为完整的转录组视图提供准确的链信息。
TruSeq Small RNA Library Prep Kit用于microRNA分析的灵敏试剂盒。
AmpliSeq for Illumina Custom RNA Panel优化的靶向定制RNA研究panel,可测序多达1200个感兴趣的靶点。
最简单、最实惠的低通量靶向基因表达图谱分析解决方案。
MiSeq系统桌面式测序仪,NGS工作流程简单、整合数据分析软件,具有无可匹敌的准确性。
MiSeqDx仪器FDA批准的NGS体外诊断系统,也可在研究模式下运行生成准确、可靠的数据。
灵活的桌面式测序系统,适用于各种癌症RNA-Seq应用,包括全转录组分析和癌症基因表达图谱分析。
NovaSeq 6000系统无论何种基因组、何种测序方法和项目规模都有可扩展的通量,灵活简便。
使用STAR比对器比对RNA read,然后利用DESeq2进行差异表达分析。
TopHat Alignment App对RNA样本进行剪接比对、变异检出和参考定量。
Cufflinks Assembly & DE App对RNA样本进行新的转录本组装和差异表达分析。
MiSeq系统上简便易用的软件,可用于分析和变异检出。
BaseSpace Sequence Hub用于NGS数据分析和管理的Illumina基因组学计算环境。
BaseSpace Correlation Engine不断增长的经审核的基因组数据库,可在鉴定疾病机制、药物靶点、预后和预测性生物标记方面为研究人员提供有力支持。
An enrichment-based cancer research assay interrogates both DNA and RNA, detecting small variants, gene amplifications, gene fusions, and splice variants.
Next-generation RNA-Seq methods enable researchers to access valuable data from degraded and FFPE-derived samples.
This cost-effective, flexible workflow measures gene expression in single cells and offers high-resolution analysis to discover cellular differences usually masked by bulk sampling methods. This app note outlines the workflow, provides example study designs and throughput charts, and more.