Webinars and talks on cell and nuclei preparation for genomics

Webinars and talks on cell and nuclei preparation for genomics

The ultimate compilation of webinars and talks for you to succeed on preparing cells or nuclei for genomic analyses. Take a look at our webinars to learn which technologies can enable you to optimally prepare your samples for high quality and reliable single-cell, single-nuclei or bulk sequencing analyses. 

You will find information on complete workflows on how to prepare different sample types, or dive deeper into a particular step of the workflow, such cell isolation using cell sorting. Many scientists are already using these technologies and have shared their experiences and results on their particular studies. Get inspired by listening to their talks!



Preparation of cells and nuclei for genomic analysis

See highlights in this webinar of our solutions to prepare cells and nuclei for genomic analysis, either for bulk, single-cell or single-nuclei sequencing. Follow us on the easy path to better genomic results, from tissue storage and dissociation, magnetic isolation, cell sorting, and more!

Realize better NGS results through gentle cell sorting

Single cell genomics and other next generation sequencing applications depend strongly on adequate upstream sample preparation. However, harsh conditions during those workflows can easily affect your results in a variety of ways. This is especially troublesome if you are interested in genes related to cellular stress, activation, or metabolism, so how can you guarantee you’re using only non-stressed, viable target cells in high purities in your genomics experiments?

Facilitating transcriptomics of sensitive target cells with gentle cell sorting

Accuracy in genomic sequencing analyses depends strongly on sample quality. Discover pre-analytical cell sorting that can achieve this, as well as look at new insights on the physiology of pancreatic MVECs, a highly heterogenous cell type that were enabled by this technique.

Tumor cell preparation for single cell sequencing

Learn from this webinar how to prepare high quality single cell suspensions from tumor samples to obtain meaningful and reproducible single cell sequencing results. 

Molecular analysis from FFPE carcinoma samples 

Listen to the webinar delivered by Bastian Nicolai and learn about an innovative method for dissociation of FFPE carcinoma samples into single cell suspensions for high-quality sequencing results. See how our new FFPE Tissue Dissociation Kit, also suited for any other tissue, preserves cytoskeletal markers and improves molecular analysis.


Recorded talks

Virtual MACS Genomics Day (Part 1)

The first part of the Virtual MACS Genomics Day shows how Prof. Dr. Michael Delacher (Research Center for Immunotherapy (FZI), Institute for Immunology, University Medical Center Mainz, Germany) uses single-cell genomics to understand tissue immunology. Mandy Meijer (Karolinska Institute, Solna, Sweden) unveils new insights in the research of multiple sclerosis by assessing chromatin accessibility at single-cell level. Last but not least, 10x Genomics presents Chromium X, its latest single-cell instrument designed to run the full breadth of assays.

Virtual MACS Genomics Day (Part 2)

The second part of the Virtual MACS Genomics Day shows how Thomas Parry (University of Edinburgh, Scotland) masters the generation of high-quality scRNA-seq data from solid ovarian carcinoma tissue. Furthermore, Illumina introduces its latest technology and portfolio advancements.

Virtual MACS Genomics Day (Part 3)

In the third part of the Virtual MACS Genomics Day Bilge Esin Ozturk, PhD (Department of Ophthalmology, University of Pittsburgh, Pittsburgh, USA), introduces her single-cell AAV engineering pipeline (scAAVengr), a method to identify and develop AAV vectors for clinical translation. Moreover, Hervé Luche, PhD (Centre d'immunophénomique (Phenomin-CIPHE), Marseille, France), shows a way to improve translational prediction for immune-based therapeutics by immuno-profiling of preclinical murine tumor models.

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