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

Featured

Competitive Comparisons

  • TCR Mega
  • T Cells

Evercode TCR Compared with Chromium V(D)J on Activated Human CAR T Cells

I compared technologies and I'm using Parse TCR for our next experiments

-Christoph T. Ellebrecht, MD, Assistant Professor of Dermatology, University of Pennsylvania

Popular resources

  • WT
  • Mouse Brain

C5aR1 antagonism suppresses inflammatory glial gene expression and alters cellular signaling in an aggressive Alzheimer’s model

Nicole D Schartz, Heidi Y Liang, Klebea Carvalho, Shu-Hui Chu, Adrian Mendoza-Arvilla, Tiffany J Petrisko, Angela Gomez-Arboledas, Ali Mortazavi, Andrea Tenner

Inhibition of the C5aR1 receptor with PMX205 reduces plaque load and gliosis while improving short-term memory in Alzheimer’s Disease (AD) mouse models. Using scRNA-Seq and snRNA-Seq, the authors found that PMX205 treatment enhanced cell growth and repair and decreased the inflammatory gene expression in microglia despite little alteration of the protein levels in reactive cells. The results highlight the attractiveness of a C5aR1 inhibition-based strategy.

  • WT
  • Pancreas Tumor

Discovering mediators of chemoresistance in in vitro tumoroid models of pancreatic cancer

We were able to perform high-quality and cost-effective single-cell RNA-sequencing with the Evercode kit

-William Hwang, PI, Massachusetts General Hospital Center for Cancer Research

Customer Research Spotlights

  • TCR Mega
  • T Cells

Evercode TCR Compared with Chromium V(D)J on Activated Human CAR T Cells

I compared technologies and I'm using Parse TCR for our next experiments

-Christoph T. Ellebrecht, MD, Assistant Professor of Dermatology, University of Pennsylvania
  • WT
  • Pancreas Tumor

Discovering mediators of chemoresistance in in vitro tumoroid models of pancreatic cancer

We were able to perform high-quality and cost-effective single-cell RNA-sequencing with the Evercode kit

-William Hwang, PI, Massachusetts General Hospital Center for Cancer Research
  • WT
  • Cardiomyocytes

Profiling Large Adult Cardiomyocytes with High Sensitivity

One assay works with all our samples, no matter the size.

-Zhenhe Zhang, University of Washington Medicine, Cardiology
  • WT
  • Mouse Brain

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

48 samples, across 6 conditions, in 1 experiment with important implications.

-Vivek Swarup, Associate Professor, University of California, Irvine
  • WT Mini
  • Bovine Tracheal Organoids

Using Evercode WT to Characterize a Novel Organoid Model for Studying Bovine Respiratory Disease

We characterized extraordinary cell type diversity in our organoid model.

-Pin Shie Quah, Jackson Laboratory, University of Melbourne
-Bang M. Tran, Vincan Laboratory, University of Melbourne
-Vincent D.A. Corbin, Coin Laboratory, University of Melbourne
  • WT
  • Mouse Lung

Loss of p73 Expression Contributes to Chronic Obstructive Pulmonary Disease

Evercode provides superior data quality to other methods we’ve tested.

-Tiffany Tufenkjian, Vanderbilt University Medical Center
  • WT
  • Human PBMCs

Evercode WT v2 Compared with Chromium 3’ v3.1 in Human PBMCs

We detected rare cell types with Evercode’s higher sensitivity.

-Yi Xie, Duke-NUS Medical School
-Jacques Behmoaras, Duke-NUS Medical School
-Enrico Petretto, Duke-NUS Medical School
  • WT
  • Human PBMCs

An Immunologist’s Experience with Human PBMCs with Evercode™ WT

We looked at the results in many ways and remain impressed.

-Howard Davidson, University of Colorado Anschutz
  • WT Mini
  • Human IPSCs

Multi-Omics Approach for Near Full Length Human iPSC Transcriptomes in Cardiomyocyte Models

A powerful tool for transcriptome analysis using Illumina and Oxford Nanopore sequencing of the same sample.

-Jordan Currie, Edward Lau Lab, University of Colorado
-Mike Lippincott, Edward Lau Lab, University of Colorado
  • WT
  • Brain Nuclei

Insights from Amygdala Subnuclei in Rhesus Monkeys and Humans

With Evercode we get single cell transcriptional data at the scale we need.

-Shawn Kamboj, University of California, Davis
  • WT Mini
  • Solid Tumor

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

We obtained an unprecedented number of genes per cell.

-Zac Moore, Walter and Eliza Hall Institute of Medical Research
  • WT
  • Cancer Cells

Transcriptomic Analysis of a Chemotherapy Resistant Cancer Cell State

Single cell resolution is vital to capturing the complexity of cancer but droplet-based methods are unreliable for morphologically large cells.

-Luke Loftus, Johns Hopkins School of Medicine
-Chris Cherry, CM Cherry Consulting
  • WT
  • WT Mini
  • +1

Uncovering Spatial Intra-Tumoral Heterogeneity of Malignant and Immune Cells in Glioblastoma

A powerful assay to explore complex tumor microenvironments.

-Federico Gaiti, Assistant Professor, Princess Margaret Cancer Centre
  • WT Mini
  • Human IPSCs

Transcriptional Analysis of Parkinson’s Disease Using Patient-derived Cells

We fix samples when they are ready, putting us in charge of our experimental timing.

-Taylor Goldsmith, Early Drug Discovery Unit, Neuro-McGill University
  • WT Mini
  • Salmon Liver

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

A striking breadth of cell types were identified with high gene counts

-Carl Milton, Roslin Institute, Edinburgh University
  • WT
  • Mouse Brain

Identifying distinct cellular programs from single cell datasets using Topyfic

Using large datasets like the ones generated by Parse, was important for identifying as many different ‘topics’ as possible.

-Narges Rezaie, Doctoral Candidate, University of California, Irvine

Publications and Posters

  • WT Mini
  • Ovarian PDX

A Risk-reward Examination of Sample Multiplexing Reagents for Single Cell RNA-Seq

Daniel V. Brown, Casey J.A. Anttila, Ling Ling, Patrick Grave, Tracey M. Baldwin, Ryan Munnings, Anthony J. Farchione, Vanessa L. Bryant, Amelia Dunstone, Christine Biben, Samir Taoudi, Tom S. Weber, Shalin H. Naik, Anthony Hadla, Holly E. Barker, Cassandra J. Vandenberg, Genevieve Dall, Clare L. Scott, Zachery Moore, James R. Whittle, Saskia Freytag, Sarah A. Best, Anthony T. Papenfuss, Sam W.Z. Olechnowicz, Sarah E. MacRaild, Stephen Wilcox, Peter F. Hickey, Daniela Amann-Zalcenstein, Rory Bowden

The authors compared various scRNA-Seq reagents. Parse WT v2 and 10x Flex were tested on fixed tumor nuclei. 10x Flex failed due to clogging. Parse data had more reads, genes, and fewer doublets than 10x fresh nuclei data. 10X data had high mitochondrial and ribosomal transcripts, but gene expression was concordant with Parse data. Parse WT v2 captured more biological variation and outperformed other assays.

  • WT
  • PBMCs

Comparative analysis of single-cell RNA sequencing methods with and without sample multiplexing

Yi Xie, Huimei Chen, Vasuki Ranjani Chellamuthu, Ahmad bin Mohamed Lajam, Salvatore Albani, Andrea Hsiu Ling Low, Enrico Petretto, Jacques Behmoaras

Parse and 10X were compared using scRNA-seq on PBMC from 2 healthy donors. Parse demonstrated better data quality with lower multiplets rates but had lower cell recovery. Parse detected 1.2-fold more genes, had better clustering performance, and greater power in distinguishing cell types with specific gene signatures. Parse also excelled in detecting longer transcripts and rare cell types.

  • WT Mega
  • Mouse Kidney

Pax Protein Depletion in Proximal Tubules Triggers Conserved Mechanisms of Resistance to Acute Ischemic Kidney Injury and Prevents Transition to Chronic Kidney Disease

Jeffrey A. Beamish, Asha C. Telang, Madison C. McElliott, Anas Al-Suraimi, Mahboob Chowdhury, Jenna T. Ference-Salo, Edgar A. Otto, Rajasree Menon, Abdul Soofi, Joel M. Weinberg, Sanjeevkumar R. Patel, Gregory R. Dressler

In acute kidney injury (AKI), partial regeneration of kidney epithelial cells leads to chronic damage. snRNA-Seq revealed that selective deletion of Pax2 and Pax8 in proximal tubules provided protection from chronic damage. This protection was attributed to the increased expression of genes associated with protective mechanisms against ischemic AKI. The results highlight the potential of Pax2 and Pax8 as promising therapeutic targets for AKI.

  • WT
  • Mouse Brain

C5aR1 antagonism suppresses inflammatory glial gene expression and alters cellular signaling in an aggressive Alzheimer’s model

Nicole D Schartz, Heidi Y Liang, Klebea Carvalho, Shu-Hui Chu, Adrian Mendoza-Arvilla, Tiffany J Petrisko, Angela Gomez-Arboledas, Ali Mortazavi, Andrea Tenner

Inhibition of the C5aR1 receptor with PMX205 reduces plaque load and gliosis while improving short-term memory in Alzheimer’s Disease (AD) mouse models. Using scRNA-Seq and snRNA-Seq, the authors found that PMX205 treatment enhanced cell growth and repair and decreased the inflammatory gene expression in microglia despite little alteration of the protein levels in reactive cells. The results highlight the attractiveness of a C5aR1 inhibition-based strategy.

  • WT Mega
  • Human IPSCs

Directed Differentiation of Human iPSCs to Functional Ovarian Granulosa-Like Cells via Transcription Factor Overexpression

Merrick Pierson Smela, Christian Kramme, Patrick Fortuna, Jessica Adams, Edward Dong, Mutsumi Kobayashi, Garyk Brixi, Emma Tysinger, Richie. E. Kohman, Toshi Shioda, Pranam Chatterjee, and George M. Church

Two transcription factors required for developing ovarian granulosa cells – previously lacking components of human ovary organoids – were identified. Human iPSCs were induced to differentiate into human ovary organoids, whose identities were confirmed based on differential gene expression.