Research Articles
Trajectory Inference with Monocle in Cancer Progression: A Comprehensive Guide from Single-Cell Data to Clinical Insights
This article provides a comprehensive guide for researchers and drug development professionals on applying trajectory inference, specifically with Monocle, to unravel cancer progression dynamics from single-cell RNA sequencing data.
Decoding Cancer's Social Network: A Comprehensive Guide to Cell-Cell Communication Analysis in the Tumor Microenvironment with CellChat
Cell-cell communication (CCC) within the tumor microenvironment (TME) is a critical regulator of cancer progression, immune evasion, and therapy response.
Decoding Cellular Heterogeneity: A Comprehensive Guide to scDNA-seq for Somatic Mutation Analysis
Single-cell DNA sequencing (scDNA-seq) has emerged as a transformative technology, enabling researchers to dissect cellular heterogeneity, track clonal evolution, and identify somatic mutations at an unprecedented resolution.
Single-Cell Multi-Omics and scCOOL-seq: A Comprehensive Guide to Protocols, Applications, and Data Analysis
This article provides a comprehensive overview of single-cell multi-omics sequencing, with a focused look at scCOOL-seq protocols.
Decoding Cancer's Epigenetic Blueprint: How scATAC-seq Reveals Tumor Heterogeneity and Regulatory Networks
Single-cell Assay for Transposase-Accessible Chromatin with sequencing (scATAC-seq) is revolutionizing our understanding of tumor epigenetics by mapping chromatin accessibility at single-cell resolution.
SMART-seq2 vs 10x Genomics: A Definitive Guide to scRNA-seq Protocol Selection
Single-cell RNA sequencing (scRNA-seq) has become indispensable for profiling cellular heterogeneity, with SMART-seq2 and 10x Genomics emerging as two leading yet fundamentally distinct platforms.
Decoding Tumor Architecture: A Comprehensive Guide to Spatial Transcriptomics in Cancer Research
Spatial transcriptomics (ST) is revolutionizing cancer research by preserving the spatial context of gene expression, enabling an unprecedented view of the tumor microenvironment (TME).
Decoding Cancer Complexity: A Comprehensive Guide to Single-Cell Multi-Oomics Integration
Single-cell multi-omics technologies are revolutionizing cancer research by enabling the simultaneous measurement of genomic, transcriptomic, epigenomic, and proteomic layers within individual cells.
Decoding Cancer Complexity: How Single-Cell Genomics Reveals Intratumoral Heterogeneity and Drives Therapeutic Innovation
This article explores the transformative impact of single-cell genomics on our understanding of intratumoral heterogeneity (ITH) in cancer.
Decoding Cancer's Blueprint: How Single-Cell Lineage Tracing Reveals Tumor Evolution
This article explores the transformative integration of single-cell technologies and lineage tracing in deciphering the complex evolutionary history of tumors.