Date: May 17, 2022
Time: 1 pm ET
Join us from 1-2 pm ET on May 17th for the next in our series of Bench Tips webinars, where research scientists from prominent sequencing labs discuss how they are using advancements in RNA sequencing for their research goals. Participate in the webinar and join the live Q&A session to get more insights into how RNA sequencing will work for you.
In this webinar you will learn about:
- Sample prep, library prep, and optimization for single-cell and single-nuclei protocols
- Working with challenging sample types—from primary cells, organoids to tissue samples
- Strategies for planning a complex experiment involving multiple timepoints and cell conditions
- Optimizing sample multiplexing for single-cell RNA sequencing
- Single-cell experimental design for multimodal sequencing experiments
- Coupling CRISPR screens with single-cell sequencing
- Integration of single-cell datasets and use of informatics tools to reduce noise and improve downstream analyses
- Case studies describing how single-cell sequencing can be used for diverse applications
Our panelists are:
Hans-Hermann Wessels, a postdoctoral research associate at the New York Genome Center in Dr. Rahul Satija and Dr. Neville Sanjana’s labs. His talk will highlight work using CaRPool-seq to perform multiplexed combinatorial perturbations of myeloid differentiation regulators in an acute myeloid leukemia (AML) model system. Recently he published a paper on how pooled CRISPR screens coupled with scRNAseq have enabled systematic interrogation of gene function and regulatory networks. They introduced Cas13 RNA Perturb-seq (CaRPool-seq) which leverages the RNA-targeting CRISPR/Cas13d system and enables efficient combinatorial perturbations alongside multimodal single-cell profiling.
Maria Monberg who works in the Dr. Anirban Maitra Lab in the Division of Pathology/Lab Medicine at the University of Texas MD Anderson Cancer Center. She will be discussing best practices for sample prep and optimization for single-cell and single-nuclei protocols (starting from fresh tissue, frozen tissue, organoids, or cell lines), single-cell RNA sequencing (scRNAseq) experimental design for multimodal experiments, and integration of single-cell datasets for “making the most” of sequencing data.
Francisco Galdos, a senior MD-PhD candidate in the Laboratory of Dr. Sean Wu at Stanford University School of Medicine. His talk will focus on how to best design complex experiments so they can recover meaningful biological signal from a single cell experiment, and how to take advantage of recent advances in sample multiplexing during scRNA-seq runs.