Research Articles
A Comprehensive Guide to Reference Gene Stability Analysis Software for Accurate Gene Expression Studies
Accurate normalization of RT-qPCR data is foundational to reliable gene expression analysis in biomedical research.
Whole-Transcriptome qPCR Benchmarking: The Gold Standard for Validating RNA-Seq in Biomedical Research
This article provides a comprehensive guide to whole-transcriptome quantitative PCR (qPCR) and its critical role as a gold standard for benchmarking RNA-sequencing (RNA-seq) technologies and workflows.
Reverse Transcription Optimization for qPCR: A Complete Guide to Enhance Sensitivity, Reproducibility, and Data Reliability
This article provides a comprehensive guide for researchers and drug development professionals on optimizing reverse transcription (RT) for quantitative PCR (qPCR).
Biological vs. Technical Replicates: A Strategic Guide for qPCR and RNA-Seq in Biomedical Research
This article provides a comprehensive guide for researchers and drug development professionals on the critical distinction between biological and technical replicates in qPCR and RNA-Seq experiments.
RNA Integrity Number (RIN): The Essential Guide to qPCR Validation for Reliable Gene Expression Data
This article provides a comprehensive guide for researchers and drug development professionals on the critical role of the RNA Integrity Number (RIN) in ensuring reliable reverse transcription quantitative PCR (RT-qPCR)...
A Comprehensive RT-qPCR Protocol for Accurate Transcriptome Validation: From RNA-Seq to Reliable Gene Expression Analysis
This article provides a complete guide for researchers validating RNA-seq data using Reverse Transcription Quantitative PCR (RT-qPCR).
A Practical Guide to Selecting Stable Reference Genes Using TPM Values from RNA-Seq Data
Accurate gene expression analysis in biomedical research relies heavily on the use of stable reference genes for normalization.
Robust qPCR Assay Design for RNA-Seq Validation: From Foundational Principles to Clinical Application
Validating RNA-sequencing data with quantitative PCR (qPCR) is a critical step for generating reliable gene expression data in research and clinical diagnostics.
Orthogonal Verification of High-Throughput Data: Strategies for Robust Research and Diagnostic Accuracy
This article provides a comprehensive guide to orthogonal verification for researchers, scientists, and drug development professionals.
From Transcriptome to Target: A Modern Guide to Selecting qPCR Reference Genes from RNA-Seq Data
Accurate gene expression analysis via qPCR is foundational to biomedical research and drug development, yet it critically depends on the use of stable reference genes for data normalization.