Research Articles
Bridging Resolution and Context: Validating scRNA-seq Stem Cell Localizations with Spatial Transcriptomics
This article explores the critical integration of single-cell RNA sequencing (scRNA-seq) and Spatial Transcriptomics (ST) for validating stem cell localizations and identities within complex tissues.
Smart-seq2 vs. Drop-seq: A Strategic Guide for Stem Cell Transcriptomics
This article provides a comprehensive comparative analysis of Smart-seq2 and Drop-seq, two prominent single-cell RNA sequencing (scRNA-seq) technologies, with a specific focus on their applications in stem cell research.
Computational Correction of Ambient RNA in Stem Cell Suspensions: A Guide for Methods, Tools, and Best Practices
Ambient RNA contamination is a pervasive challenge in droplet-based single-cell and single-nucleus RNA sequencing of stem cell suspensions, leading to biased cell type identification and compromised differential gene expression analysis.
Cross-Platform Validation of Stem Cell scRNA-seq Findings: A Framework for Robustness and Reproducibility
Single-cell RNA sequencing has revolutionized stem cell research by uncovering cellular heterogeneity and developmental trajectories.
Resolving Stem Cell Heterogeneity: A Comprehensive Guide to scRNA-seq vs. Bulk RNA-seq
Stem cell populations are fundamentally heterogeneous, a characteristic crucial for development, regeneration, and disease.
Overcoming the Single-Cell Bottleneck: A Troubleshooting Guide for Robust Library Prep from Limited Stem Cells
This article provides a comprehensive guide for researchers and drug development professionals facing the significant challenge of generating high-quality sequencing libraries from limited stem cell populations.
Beyond the Noise: Advanced Strategies to Unlock the Functional Secrets of Lowly Expressed Genes in Stem Cells
Accurately capturing the expression of low-abundance genes is a critical frontier in stem cell biology, with direct implications for understanding lineage priming, differentiation bias, and therapeutic potential.
Rethinking Mitochondrial RNA Filtering in Stem Cell scRNA-seq: Strategies to Preserve Biological Insight
Single-cell RNA sequencing has revolutionized stem cell research by revealing cellular heterogeneity, but accurate data interpretation hinges on robust quality control.
Optimizing Stem Cell Viability in Single-Cell Isolation: A 2025 Guide for Robust Research and Translation
This article provides a comprehensive guide for researchers and drug development professionals on optimizing cell viability during stem cell isolation for single-cell analysis.
Conquering Noise and Bias in scRNA-seq: A Researcher's Guide to Clearer Data and Robust Biological Insights
Single-cell RNA sequencing has revolutionized biological research by enabling the transcriptional profiling of individual cells, yet technical noise and amplification bias persistently obscure true biological signals.