中国P站

Abstract

The field of gene expression analysis is advancing rapidly with technologies like spatial transcriptomics, single-cell RNA sequencing, and epigenomics. These approaches map gene expression, epigenetic modifications, and gene function with high resolution, uncovering tissue heterogeneity, disease mechanisms, and regulatory networks. Computational tools and best practices are crucial for robust data analysis. Applications span fundamental biological understanding to clinical precision oncology, biomarker discovery, and therapeutic guidance, encompassing dynamic regulatory processes like alternative splicing. This progress shifts research towards more comprehensive, spatially resolved, and functionally integrated views of biological systems.

Keywords: Spatial Transcriptomics脥戮 Single-Cell RNA Sequencing脥戮 Epigenomics脥戮 Gene Expression Profiling脥戮 Computational Biology脥戮 Cancer Research脥戮 Alternative Splicing脥戮 CRISPR Screening脥戮 Omics Data Analysis脥戮 Precision Medicine