细胞沉默脱靶转录组检测

信息概要

• 细胞沉默脱靶转录组检测是一种通过高通量测序技术分析基因沉默过程中可能出现的非目标效应，确保基因治疗和RNA干扰研究的安全性和有效性。
• 该检测的重要性在于识别和评估脱靶效应，避免 unintended gene expression changes，从而降低临床风险和提高治疗精准度。
• 本服务提供全面的转录组分析，涵盖从样本处理到数据解读的全流程，帮助研究人员优化沉默策略并验证实验结果。

检测项目

• siRNA沉默效率评估
• shRNA沉默效率评估
• 脱靶基因识别
• 转录本丰度变化分析
• 差异表达基因分析
• 基因 ontology 富集分析
• KEGG通路分析
• Reactome通路分析
• 蛋白互作网络分析
• miRNA靶标预测
• off-target score计算
• 基因集富集分析
• 聚类分析
• 主成分分析
• 相关性分析
• 时间序列分析
• 样本间比较
• 生物标志物识别
• 功能注释
• 网络分析
• 预测模型构建
• 验证实验设计
• 统计显著性测试
• 多重检验校正
• 可视化报告生成
• 数据解读服务
• 序列比对率分析
• 基因覆盖度评估
• 表达量标准化
• 变异剪接分析
• novel transcript检测
• alternative splicing分析
• gene fusion检测
• SNP calling
• quality control metrics

检测范围

• siRNA-mediated silencing
• shRNA-mediated silencing
• CRISPRi silencing
• miRNA overexpression
• antisense oligonucleotides
• RNA interference therapies
• gene therapy applications
• cancer cell lines
• stem cells
• primary cells
• animal models
• human samples
• high-throughput screening
• low-throughput validation
• in vitro models
• in vivo models
• ex vivo models
• brain tissue samples
• liver tissue samples
• heart tissue samples
• cancer disease models
• neurodegenerative disease models
• custom design services
• standard panels
• whole transcriptome analysis
• targeted transcriptome analysis
• single-cell RNA-seq
• bulk RNA-seq
• time-course experiments
• dose-response studies
• comparative studies across platforms
• validation using qPCR
• bioinformatics analysis services

检测方法

• RNA-seq: High-throughput sequencing of RNA to quantify gene expression and detect changes.
• qRT-PCR: Quantitative real-time PCR for validating specific gene expression alterations.
• Microarray: Hybridization-based technique for genome-wide expression profiling.
• Northern blot: Traditional method for detecting specific RNA molecules via electrophoresis.
• In situ hybridization: Localizes RNA within cells or tissues using labeled probes.
• Nanostring nCounter: Digital counting of RNA without amplification for precise measurement.
• Single-cell RNA-seq: Sequences RNA from individual cells to assess heterogeneity.
• Drop-seq: High-throughput method for single-cell transcriptome analysis using droplets.
• SMART-seq: Full-length transcriptome sequencing for detailed single-cell analysis.
• CAGE: Cap analysis gene expression for mapping transcription start sites accurately.
• RIP-seq: RNA immunoprecipitation followed by sequencing to study RNA-protein interactions.
• CLIP-seq: Cross-linking and immunoprecipitation identifies RNA-binding protein sites.
• PAR-CLIP: Photoactivatable ribonucleoside-enhanced crosslinking improves resolution for RNA-protein studies.
• eCLIP: Enhanced CLIP method for higher specificity in mapping binding sites.
• DGE: Digital gene expression using tags like SAGE for expression quantification.
• RNA affinity purification: Isolates specific RNA targets for further analysis.
• Electrophoretic mobility shift assay: Detects RNA-protein interactions through gel shifts.
• Fluorescence in situ hybridization: Visualizes RNA localization with fluorescent probes.
• Mass spectrometry: Indirectly validates proteomic changes related to transcriptomic effects.
• Bioinformatics pipeline: Custom computational tools for data processing and interpretation.

检测仪器

• Illumina NovaSeq
• Illumina HiSeq
• Illumina MiSeq
• Thermo Fisher QuantStudio
• Agilent Bioanalyzer
• Nanostring nCounter
• PacBio Sequel
• Oxford Nanopore MinION
• BGI sequencers
• Roche 454
• ABI Prism
• Fluidigm C1
• 10x Genomics Chromium
• Beckman Coulter Biomek
• Qiagen QIAcube