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

Customer Datasets

Explore datasets covering various applications and sample types.

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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 Mini
  • WT
  • +2

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
  • 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