Velo mRNA: Decoding Dynamic mRNA Patterns via RNA Velocity Theory RNA velocity is a computational method that quantifies the relative abundance of unspliced and spliced mRNAs to reveal dynamic gene expression changes. By modeling transcriptional kinetics, it predicts future cellular states, enabling…
mRNA Velocity in Cancer: Advances in Transcription Rate Mutations and Therapeutic Prospects mRNA velocity—defined as the elongation rate of RNA polymerase during transcription and the dynamic lifecycle of mRNA from synthesis to degradation—has emerged as a critical factor in cancer biology. Aberrant…
Comparative Analysis of mRNA Velocity and Traditional Single-Cell Transcriptomic Approaches RNA Velocity is a kinetic model that predicts future transcriptional states of single cells by analyzing the ratio of unspliced to spliced mRNA. Unlike traditional single-cell methods (e.g., pseudotime trajec…
SynthmRNA vs. Natural mRNA: A Comparative Analysis 1. Definition and Basic Structure Natural mRNA: Transcribed from nuclear DNA, it carries genetic information for protein synthesis. Its structure includes a 5' cap, 5' untranslated region (UTR), open reading frame (ORF), 3' UTR, and poly(A) tail. Na…
mRNA Speed: A Concise Overview mRNA Speed (or mRNA Velocity) is an analytical technique in single-cell RNA sequencing (scRNA-seq) that quantifies dynamic changes in gene expression rates and predicts future directions of cellular state transitions. Below are its key components: 1. Definition and P…
Velo mRNA refers to mRNA Velocity, a dynamic analysis technique in single-cell RNA sequencing (scRNA-seq) that predicts future trends in gene expression, revealing directions of cell differentiation, development, or disease progression. Below are its key components: 1. Definition and Principle C…
In-Depth Analysis of mRNA Velocity mRNA Velocity is an analytical method based on single-cell RNA sequencing (scRNA-seq) data. By quantifying the dynamic ratio of unspliced (pre-mRNA with introns) to spliced (mature mRNA) transcripts, it predicts future gene expression states of cells, inferring dir…