RNA-Seq – Webinars and Online Events

In this webinar, Dr. Luciane Kagohara from Johns Hopkins Medicine will discuss a novel artificial intelligence method integrating imaging, spatial transcriptomics and single-cell RNA-seq data that has been used to characterize the cell state transitions in pancreatic cancer progression.

In this webinar, you will learn how to extract nuclei from virtually any tissue in just five minutes in an automated and reproducible way.

Biological variance poses challenges when using human iPSC-derived cells in vitro, leading to inconsistent experimental results and data variability.

In this webinar, Dr. Angelo will showcase his research into understanding the evolving spatiotemporal network behind how immune tolerance develops in cancer, pregnancy and TB.

Traditional organoid culture can present challenges for the downstream analysis of single organoids. In this webinar, Dr. Allysa Stern will discuss a unique workflow that enables clonal organoid development, monitoring of iPSC differentiation over time and automated isolation of single organoids.

Dr. Scott Magness will then present a case related to his group’s work investigating tumor cell heterogeneity through clonal organoid morphology and transcriptomics. He will discuss new approaches using single organoid transcriptomics to evaluate organoids derived from single cells from gastric dysplastic tissues and how this approach might reveal new ways to investigate tumor cell heterogeneity and evasion of some cells from cancer treatments.

With the genetics behind cancer being both diverse and complex, there are many genomic deviations that need to be detected and analyzed to further our understanding of the disease. Using nanopore sequencing, scientists can achieve the most comprehensive insight into cancer genomes. To explore this further, this symposium will bring together experts in cancer research, where they’ll cover how they are using the technology.

The speakers will discuss detecting missing structural variants, characterizing mutation patterns and how nanopore sequencing has advanced their research.

Our major findings were that the neural network was able to accurately classify 11 out of 12 leukemia samples, with as little as 5 minutes of sequencing needed to accurately classify ALL.

Speaking at The Landscape of Cancer Research 2022, Osama Al Dalahmah, PhD from Colombia University, presented his talk on paving the way to new mechanistic and therapeutic discoveries in glioblastoma.

In this webinar, we present a standardized workflow solution, including easy and automated nuclei extraction and isolation for reproducible single-nucleus sequencing analysis.

These technologies can help identify new strategies to enhance myocardial repair and regeneration through target validation and manipulation.