Notice

Colleagues within Academia Sinica who wish to operate IPA during the course, please apply for an IPA account first and complete registration by July 8th. Thank you for your cooperation. (Click here to apply for an IPA account)

Introduction

At the forefront of modern biomedical research, single-cell RNA sequencing (scRNA-seq) technology offers unprecedented insights into cellular heterogeneity and the complexity of gene expression. Effectively interpreting this data poses significant challenges, making precise data analysis crucial. Ingenuity Pathway Analysis (IPA) is a leading tool designed to help researchers understand and interpret gene networks and biological pathways.

This course will introduce how to apply IPA to pathway analysis of single-cell RNA sequencing data. Starting from the basic principles and applications of single-cell RNA sequencing, we will delve into how to utilize IPA for pathway analysis and interactions, helping participants unlock biological insights. Throughout the course, participants will learn practical skills and understand the powerful capabilities of IPA through case studies. With this critical knowledge and practical tools, you will be able to more efficiently decode and utilize single-cell RNA sequencing data, deeply explore the complex mechanisms of gene expression, and advance biomedical research.

Course Outline

1.Introduction and Updates on QIAGEN IPA

2.Overview of Single-Cell RNA Sequencing Data Analysis

3.Case Study: Experimental Design and Data Upload

4.Core Analysis and Interpretation of IPA Results

5.Comparison of IPA Results with Database Outcomes