Company

Technology

Discover scalable, instrument-free single cell sequencing technology from Parse Bioscience

Technology Overview


Resources

Explore our collection of resources to learn more about technology and its applications from leading researchers

Resources Overview

Company

Providing researchers single cell sequencing with unprecedented scale and ease

About Parse

Technology

Discover scalable, instrument-free single cell sequencing technology from Parse Bioscience

Technology Overview

Webinars

Watch past webinars on Evercode™ technology and its applications.

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Single Cell RNA Sequencing Experimental Design and Sample Preparation

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.

The Origins and Fundamentals of Single Cell RNA Sequencing

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.

Spatial Heterogeneity of Transcriptomic Variability in Glioblastoma

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.

Identifying Distinct Cellular Programs from Single Cell Datasets Using Topyfic

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.

Perturbing and Tracing Tumor Lineages Resistant to NK Cell-Mediated Killing

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.

Single Cell RNA-seq Sheds Light on the Role of Microglia in Alzheimer’s Disease

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.

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Uncovering Glioblastoma Heterogeneity in Solid Tumor and Tumor-derived in vitro Models

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.

Using Single Cell Sequencing to Investigate Murine COVID-19 Mortality

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.

Using Single Cell RNA Sequencing (scRNA-Seq) to Examine What Makes Cancer Possible

In this webinar, Dr. Katerina Gurova, Roswell Park Cancer Institute, describes how she used scRNA-Seq to examine whether the transition between one epigenetic state into another makes cells vulnerable to oncogene induced transformation.

Single-cell Transcriptomic Landscape in Alzheimer’s Disease

The gene-regulatory landscape of the brain is highly dynamic in health and disease, coordinating a menagerie of biological processes across distinct cell types. Understanding these regulatory programs requires a holistic experimental and analytical approach. Here, we present a single-cell study of 380,000 nuclei in late-stage Alzheimer’s Disease (AD) using parse biosciences whole transcriptome kit, profiling gene expression in thousands of genes and uncovering vast neuronal and glial heterogeneity in late-stage AD.

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Scaling Your scRNA-Seq Experiments with Parse Biosciences’ Evercode

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.

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Scaling Your scRNA-Seq Experiments with Parse Biosciences’ Evercode

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.

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High Sensitivity Single Cell RNA Sequencing with Evercode Whole Transcriptome v2

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.