Single-cell RNA sequencing tutorial set - cell type annotation 08

Описание: Refining Cell Identity: A Deep Dive into Single-Cell RNA Seq Annotation with scGEAToolbox 🔬

Welcome back to our single-cell RNA sequencing journey! In this video, we're taking the next crucial step: cell type annotation from clusters. Building on our previous analysis, we'll delve into identifying differentially expressed (DE) genes within each cluster.

Get ready to visualize gene expression like never before! We'll utilize violin plots to meticulously assess the expression patterns of these DE genes across our clusters, providing robust evidence for our cell type assignments. This isn't just about looking at numbers; it's about seeing the data come alive to truly understand cellular identity.

But we don't stop there! To ensure the highest accuracy for our customized annotation, we'll rigorously verify our marker selections using powerful tools like Enrichr and PanglaoDB. We even leveraged the cutting-edge CellMarker 2024 database from Enrichr to grab some of the most up-to-date and relevant markers. This was an iterative process, demonstrating the thoroughness required for accurate annotation. While this video showcases a lengthy and detailed annotation process, it's important to remember that cell type annotation can be an ongoing journey.

Join me as we explore this iterative process, revealing how to meticulously annotate cell types. Don't forget to like and subscribe for more insights into the world of single-cell genomics!

Hashtags:
#SingleCell #RNASeq #Bioinformatics #Genomics #CellBiology #DataScience #CellTypeAnnotation #DEGenes #ViolinPlot #Enrichr #PanglaoDB #CellMarker2024 #IterativeProcess #MATLAB #scGEAToolbox