Functional and transcriptomic readouts with human iPSC-derived neural models: MEA and RNA-seq in practice
Join bit.bio for a seminar at Center for Research in Molecular Medicine and Chronic Diseases (CiMUS) - Universidad de Santiago de Compostela.
The session will cover experimental setup considerations, workflows, and data interpretation principles, showing how functional phenotypes and transcriptomic data can be integrated to build a more complete understanding of human neural biology.
What you will learn:
- How to establish iPSC-derived neural cultures suitable for MEA and RNA-seq experiments.
- Key MEA parameters: plating, culture maintenance, signal stability, and approaches for extracting functional network metrics.
- When to choose bulk vs single-cell RNA-seq and how to match method to research question.
- A reproducible bulk RNA-seq workflow (nf-core/rnaseq with Salmon), from QC to differential expression with DESeq2.
- How PCA, volcano plots, and heatmaps are used to assess data quality and interpret biological changes.
- Examples of how transcriptomics is used at bit.bio to benchmark wild-type cells and verify manufacturing consistency.
Followed by open discussion.
Please fill out the form below to register.
When | 6th March
Time | 11:30am - 12:30pm
Where | Theatre room, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS); Av. Barcelona | Campus Vida
Universidad de Santiago de Compostela
15782 Santiago de Compostela
Who | We would love to see you and any of your coworkers interested in using human iPSC-derived cells for their research.
Refreshments will be provided!
