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

Publications and Posters

Parse has an ecosystem of products to help take your single cell research further. Delve deeper into the details here.

Publications

  • WT Mega
  • Mouse Brain

Single nuclei transcriptomics in diabetic mice reveals altered brain hippocampal endothelial cell function, permeability, and behavior

Saivageethi Nuthikattu, Dragan Milenkovic, Jennifer E. Norman, Amparo C. Villablanca

To characterize the molecular mechanisms of Type 2 diabetes-associated dementia, the authors used the Evercode WT Mega in diabetic (db/db) mice’s hippocampal endothelial nuclei. They found changes to transcription factors for endothelial cell function and cell signaling associated with neuroinflammation and cognitive impairment and the downregulation of the pathways tied to cell maintenance and proliferation. The significant correlation between these findings in db/db mice and similar patterns in persons with Alzheimer’s disease and vascular dementia further supports the hypothesis of altered signaling pathways in hippocampal endothelial cells is involved in Type 2 diabetes neurodegeneration.

  • 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 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
  • Chicken Embryo

Integrated single-cell multiomics uncovers foundational regulatory mechanisms of lens development and pathology

Jared A Tangeman, Sofia M Rebull, Erika Grajales-Esquivel, Jacob M Weaver, Stacy Bendezu-Sayas, Michael L Robinson, Salil A Lachke, Katia Del Rio-Tsonis

Using snRNA-Seq on chicken embryos, researchers profiled gene expression and chromatin accessibility associated with the chicken ocular lens development. They found three distinct populations representing major cell states (epithelial, intermediate, and fiber cell) and established a continuous trajectory from epithelial to fiber cell differentiation. The study confirmed known pathways and cataract-linked genes while uncovering new factors involved in lens development, homeostasis, and pathology.