Webinars

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.

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 the evolving field of single cell transcriptomics, selecting the right technology is crucial for meaningful discoveries. Using paired biological samples, we conducted a comparative analysis of Parse and other technologies to examine the strengths and limitations of different single-cell methods.

Type 2 diabetes (T2D) is a known risk factor for cerebrovascular diseases including Alzheimer’s disease (AD), and vascular dementia (VaD). Yet, our understanding of the mechanisms whereby T2D contributes to neurodegeneration and VaD remains poorly defined. In this study, we utilized the db/db murine model of T2D and single nuclei RNA sequencing to determine the effect of T2D on endothelial cell-specific transcriptomic changes in the hippocampus, an important brain memory center.

Type 2 diabetes (T2D) is a known risk factor for cerebrovascular diseases including Alzheimer’s disease (AD), and vascular dementia (VaD). Yet, our understanding of the mechanisms whereby T2D contributes to neurodegeneration and VaD remains poorly defined. In this present work, we utilized the db/db murine model of T2D and single nuclei RNA sequencing to determine the effect of T2D on endothelial cell-specific transcriptomic changes in the hippocampus, an important brain memory center.

In our CoLab session, Chief Technology Officer Charlie Roco, PhD, unveils exciting updates to our portfolio of single cell solutions. Highlights include advancements in Evercode Whole Transcriptome, Evercode TCR, Evercode BCR, and Trailmaker, all designed to make single cell more accessible and powerful than ever.

Uncovering the full diversity of B cell repertoires is key to understanding immunological disease and driving efficient antibody discovery campaigns. Parse Evercode™ BCR bolsters such efforts through simultaneous profiling full-length BCR sequences and the whole transcriptome with single cell resolution. In this presentation, we highlight several exciting antibody discovery applications of Evercode BCR.

In the evolving field of single cell transcriptomics, selecting the right technology is crucial for meaningful discoveries. Using paired biological samples, we conducted a comparative analysis of Parse and other technologies to examine the strengths and limitations of different single-cell methods.

In this session, Elisabeth Rebboah, PhD, from the Mortazavi Lab at UC Irvine, discusses her recent work on the impact of genetic diversity on cell type- and state-specific gene expression in mice.

What you’ll learn:

• Discover how local environmental queues are modulated by astrocyte primary cilia
• Learn how primary cilia mediate Shh signaling and determine the core features of astrocyte subtypes
• Uncover how the function of astrocyte primary cilia affects neuronal development and alters normal brain function

What you’ll learn:

• Experimental design for scRNA-seq experiments
• Sample preparation of a single-cell suspension
• QC of single cell suspensions

In this webinar, Robert Lochhead from the Medical College of Wisconsin, explains his use of the Parse single cell RNAseq and other downstream in vitro validation methods, showing that IFN-gamma-stimulated fibroblast-like synoviocytes are inducible APCs.

What you’ll learn:

• From FASTQ to Publication-Ready Figures: Learn how you can progress from raw data to insightful, publication-ready figures with just a few clicks with Trailmaker.
• Cutting-Edge Research: Get insights into the groundbreaking work being conducted by Kevin Matthew Byrd and his team.

In this webinar, Ethan Goodman explains how single-cell sequencing was used to identify the key cells and critical signaling pathways in the brain responsible for a heightened fear response due to social stress in mice, providing insights into the molecular mechanisms underlying stress-related behavioral changes.

Join us for an informative webinar in which we overview our new single cell BCR and TCR profiling products which enable immune profiling at unprecedented scale. We are also excited to showcase the work of the Reticker-Flynn Lab at Stanford and how they are using single cell immune profiling to understand the process by which tumors evade the immune system and metastasize to invade the body.

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.

What you’ll learn:

• A guided walk through a single cell RNA-seq data analysis from FASTQ files to publication-ready figures
• An overview of different analysis approaches available including user-friendly options for non-experts
• Considerations around data quality, QC metrics and data pre-processing

What you’ll learn:

• A guided walk through a single cell RNA-seq data analysis from FASTQ files to publication-ready figures
• An overview of different analysis approaches available including user-friendly options for non-experts
• Considerations around data quality, QC metrics and data pre-processing

What you’ll learn:

• An overview of single cell library preparation and quality control
• Single cell-specific sequencing considerations

What you’ll learn:

• An overview of single cell library preparation and quality control
• Single cell-specific sequencing considerations

What you’ll learn:

• Experimental design for scRNA-seq experiments
• Sample preparation of a single-cell suspension
• QC of single cell suspensions

What you’ll learn:

• Learn about the history and evolution of scRNA-seq
• Understand how it could be used in your research
• Gain an understanding of the technologies available
• Receive a high level overview of the scRNA-seq workflow and important considerations before getting started

What you’ll learn:

• Learn about the history and evolution of scRNA-seq
• Understand how it could be used in your research
• Gain an understanding of the technologies available
• Receive a high level overview of the scRNA-seq workflow and important considerations before getting started

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.