Parse Biosciences

Webinars

Single nuclei transcriptomics highlights the lasting impact of embryonic temperature on Atlantic salmon

Embryonic temperature influences the epigenetic regulation of fish with long lasting effects on growth and immune development. While higher temperatures are positively correlated with growth, exposure to elevated temperatures during embryogenesis has negatively effects on health and robustness of salmon in later life. In this webinar, Carl Milton describes how single cell sequencing was used to uncover the cellular and gene expression patterns in hepatocytes and immune cells that explain these effects on growth and the immune system.

Carl Milton, MSc.

University of Edinburgh
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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.

Charlie Roco, PhD

CTO and Cofounder
Parse Biosciences
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Getting Started with scRNA-seq: Sequencing and Data Analysis

 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.

Brian Davis

Field Application Scientist
Parse Biosciences
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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.

Andria Doty, PhD

Senior Field Application Scientist
Parse Biosciences
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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.

Colleen Palmateer, PhD

Field Application Scientist
Parse Biosciences
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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.

Vivek Swarup, PhD

Assistant Professor
UC Irvine
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Expanding Single Cell Capabilities with Immune Profiling and Targeted Gene Capture

 In this webinar, you will learn about Evercode TCR for immune profiling and Gene Capture for even greater scalability. You will also learn more about Parse's foundational technology platform, which enables single cell RNA sequencing with no microfluidics instrument required.

Anastasia Potts, PhD

Senior Product Manager
Parse Biosciences

Charlie Roco, PhD

CTO and Cofounder
Parse Biosciences
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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.

Katerina Gurova, PhD

Associate Professor
Roswell Park Comprehensive Cancer Center
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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.

Charlie Roco, PhD

CTO and Cofounder
Parse Biosciences
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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.

Vivek Swarup, PhD

Assistant Professor
UC Irvine
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Mapping and Modeling the Genomic Basis of Differential RNA Isoform Expression at Single-cell Resolution

 In this informative webinar recording, Elisabeth Rebboah, UC Irvine, discusses overcoming these obstacles to perform differential RNA isoform expression at single-cell resolution using the split pool combinatorial barcoding protocol from Parse Biosciences along with a combination of short read sequencing to characterize cell types and long read sequencing to reveal full-length isoforms.

Elisabeth Rebboah

PhD Student
UC Irvine
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Single Cell RNA-Seq on the Frontlines: High Multiplex and Time-course Experiments Expand Utility

 Experimental designs are growing alongside the increased throughput requirements of single-cell RNA-Seq assays. Replicates, disease states, and time-course designs dramatically increase the number of samples and the burden of information gleaned from a single experiment. Alongside these considerations is a substantial increase in the implications of the results. Our speakers discuss the ramifications of higher-order studies on needs for data quality, throughput attenuation, and sample longevity.

Alejandro Pezzulo, MD

Assistant Professor
University of Iowa
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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.

Benjamin Ostendorf, PhD

Group Leader
Charité-Universitätsmedizin, Berlin

Mostafa Elmaghraby, PhD

Technical Sales Manager
Parse Biosciences

Samuel Kroll, PhD

Sr. Sequencing Specialist
Illumina
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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.

Federico Gaiti, PhD

Assistant Professor
Princess Margaret Cancer Centre
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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.

Narges Rezaie

PhD Student
UC Irvine
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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.

Le Cong, PhD

Assistant Professor
Stanford University School of Medicine

Yuanhao (Jerry) Qu

PhD Student
Stanford University

Anastasia Potts, PhD

Senior Product Manager
Parse Biosciences
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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.

Zac Moore, PhD

Research Officer
WEHI (Walter and Eliza Hall Institute)
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