Watch past webinars on Evercode™ technology and its applications.
In this webinar, we showcased the latest version of our flagship technology, Evercode Whole Transcriptome v3.
What you’ll learn by watching:
Meadow voles are a seasonally prosocial species, displaying stark differences in social tolerance and bonding between summer and winter. In this webinar, researcher Matt Davis, UC Berkeley, describes how he used single cell RNA-seq to probe how seasonal cues impact the composition and transcriptional phenotypes of diverse hippocampal cell types.
Single Cell RNA Sequencing (scRNA-seq) is helping researchers uncover new insights in ways not possible with traditional bulk RNA sequencing methods. For researchers interested in learning more or just getting started, we’ve developed a series of three educational webinars focused on demystifying scRNA-seq.
In our second webinar of the series, we described unique considerations for experimental design and sample preparation when doing scRNA-seq projects.
Single Cell RNA Sequencing (scRNA-seq) is helping researchers uncover new insights in ways not possible with traditional bulk RNA sequencing methods. For researchers interested in learning more or just getting started, we’ve developed a series of three educational webinars focused on demystifying scRNA-seq.
In our first webinar of the series, we explored scRNA-seq’s origins and what research questions it can help you answer.
In this webinar, Federico Gaiti, PhD, from Princess Margaret Cancer Centre, presents information on spatial intra-tumoral heterogeneity of malignant and immune cells in glioblastoma and how the Parse technology is helping Dr. Gaiti’s team advance their work and knowledge in GBM.
In this webinar, Narges Rezaie, a PhD candidate from the University of California, Irvine, demonstrates how to use topic modeling to identify repeated patterns in single cell data.
During the webinar, Dr. Cong and Yuanhao (Jerry) Qu discussed the advancements made possible by CRISPR Detect. They discuss a new single-cell “perturb and trace” system that combines multiplexed Cas12a perturbations with a machine learning-optimized, single-cell evolvable barcoding system.
In this webinar, Dr. Swarup, demonstrates the protective functions of microglia in reducing CAA, blood-brain barrier dysfunction, and brain calcification. Examination of human AD tissue and iPSC-microglia demonstrates that microglia phagocytose calcium crystals and is impaired by the loss of the AD risk gene, TREM2.
Glioblastoma remains the most common form of brain cancer, exhibiting enormous heterogeneity in the tumor and immune compartments within both the same tumor and between patients. To characterize this heterogeneity within tumor samples and in vitro models, we utilized the Parse Evercode V2 assay to profile whole cells processed from a patient-derived neurosphere line alongside nuclei isolated from a piece of flash-frozen glioblastoma tissue.
This session is part of Parse Biosciences’ 2023 Brain Awareness Month.
With flexible and scalable solutions available, learn why single-cell sequencing studies are no longer out of reach. Watch the webinar recording where our speaker, Dr. Benjamin Ostendorf, Charité-Universitätsmedizin, Berlin, presents the results of his recent single-cell study, published Sep 2022 in the Journal Nature, on the role of APOE in Murine COVID-19 mortality.
The average number of cells profiled in single cell RNA sequencing (scRNA-Seq) experiments has doubled each year since 2015. Yet traditional scRNA-Seq technologies have not scaled well nor do they provide straightforward implementation. Join us for a webinar with Parse Biosciences CTO, Charlie Roco. In it, he describes how straightforward it is to get started and scale with Parse’s combinatorial barcoding technology, Evercode.
Single Cell RNA Sequencing (scRNA-seq) is helping researchers uncover new insights in ways not possible with traditional bulk RNA sequencing methods. For researchers interested in learning more or just getting started, we’ve developed a series of three educational webinars focused on demystifying scRNA-seq.
In our third and final webinar in the series, we described unique considerations for sequencing and data analysis when doing scRNA-seq experiments.
Single Cell RNA Sequencing (scRNA-seq) is helping researchers uncover new insights in ways not possible with traditional bulk RNA sequencing methods. For researchers interested in learning more or just getting started, we’ve developed a series of three educational webinars focused on demystifying scRNA-seq.
In our second webinar of the series, we described unique considerations for experimental design and sample preparation when doing scRNA-seq projects.
Single Cell RNA Sequencing (scRNA-seq) is helping researchers uncover new insights in ways not possible with traditional bulk RNA sequencing methods. For researchers interested in learning more or just getting started, we’ve developed a series of three educational webinars focused on demystifying scRNA-seq.
In our first webinar of the series, we explored scRNA-seq’s origins and what research questions it can help you answer.
The average number of cells profiled in single cell RNA sequencing (scRNA-Seq) experiments has doubled each year since 2015. Yet traditional scRNA-Seq technologies have not scaled well nor do they provide straightforward implementation. Join us for a webinar with Parse Biosciences CTO, Charlie Roco. In it, he describes how straightforward it is to get started and scale with Parse’s combinatorial barcoding technology, Evercode.
Single cell RNA sequencing has become a core tool for researchers to understand biology. As scRNA-seq has become more ubiquitous, many applications demand higher scalability and sensitivity. To meet this need, we developed the Evercode Whole Transcriptome v2 solution, a combinatorial barcoding workflow for scRNA-seq with dramatically improved sensitivity, robustness, and unbiased gene expression.