Research Articles
Benchmarking Single-Cell CNV Detection: A Comprehensive Guide to Algorithm Performance and Selection
This article provides a comprehensive analysis of the current landscape of computational tools for detecting copy number variations (CNVs) from single-cell RNA sequencing (scRNA-seq) data.
Decoding Cancer Heterogeneity: A Comparative scRNA-Seq Atlas of the Tumor Microenvironment Across Seven Human Cancers
Recent advances in single-cell RNA sequencing (scRNA-seq) have revolutionized our ability to dissect the complex cellular ecosystems of human cancers at unprecedented resolution.
From Single Cells to Clinical Practice: A Roadmap for Validating Biomarkers Discovered by Single-Cell Sequencing
Single-cell sequencing has revolutionized biomarker discovery by revealing cellular heterogeneity and identifying novel cell-type-specific signatures with high resolution.
Cross-Platform Validation of 10x Genomics and SMART-seq2: A Comprehensive Guide for Robust Single-Cell RNA Sequencing
This article provides researchers, scientists, and drug development professionals with a definitive guide to the cross-platform validation of 10x Genomics Chromium and SMART-seq2 single-cell RNA sequencing technologies.
Single-Cell Data Normalization and HVG Selection: A Comprehensive Guide for Robust Analysis
This article provides a comprehensive guide to single-cell RNA sequencing data normalization and highly variable gene (HVG) selection, critical steps that directly impact all downstream analyses.
Validating scRNA-seq Discoveries with Flow Cytometry: A Strategic Guide for Robust Biomarker Confirmation
This article provides a comprehensive guide for researchers and drug development professionals on integrating single-cell RNA sequencing (scRNA-seq) with flow cytometry to validate transcriptomic findings.
Decoding Tumor Heterogeneity: A Comprehensive Guide to Single-Cell vs Bulk Sequencing Approaches
This article provides researchers, scientists, and drug development professionals with a comprehensive analysis of single-cell and bulk sequencing methodologies for investigating tumor heterogeneity.
Strategies for Maximizing Cell Capture Efficiency in Microfluidic Systems: From Foundational Principles to Clinical Translation
This article provides a comprehensive examination of microfluidic technology for optimizing cell capture rates, a critical parameter for researchers and drug development professionals.
Overcoming Low Input RNA Challenges in Single-Cell Sequencing: Strategies for Enhanced Sensitivity and Reliability
Single-cell RNA sequencing (scRNA-seq) has revolutionized biomedical research by revealing cellular heterogeneity, but its application is often constrained by the challenge of low input RNA.
Integrative NMF for Cross-Patient Single-Cell Data: A Comprehensive Guide from Foundations to Clinical Applications
The integrative analysis of single-cell genomic data across multiple patients is revolutionizing our understanding of cellular heterogeneity in health and disease.