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Discover scalable, instrument-free single cell sequencing technology from Parse Bioscience
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Providing researchers single cell sequencing with unprecedented scale and ease
About ParseTechnology
Discover scalable, instrument-free single cell sequencing technology from Parse Bioscience
Technology OverviewResources
Explore our collection of resources to learn more about technology and its applications from leading researchers
Resources Overview
"I compared technologies and I'm using Parse TCR for our next experiments"
"A striking breadth of cell types were identified with high gene counts"
I compared technologies and I'm using Parse TCR for our next experiments
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.
We were able to perform high-quality and cost-effective single-cell RNA-sequencing with the Evercode kit
I compared technologies and I'm using Parse TCR for our next experiments
We were able to perform high-quality and cost-effective single-cell RNA-sequencing with the Evercode kit
One assay works with all our samples, no matter the size.
48 samples, across 6 conditions, in 1 experiment with important implications.
We characterized extraordinary cell type diversity in our organoid model.
Evercode provides superior data quality to other methods we’ve tested.
We detected rare cell types with Evercode’s higher sensitivity.
We looked at the results in many ways and remain impressed.
A powerful tool for transcriptome analysis using Illumina and Oxford Nanopore sequencing of the same sample.
With Evercode we get single cell transcriptional data at the scale we need.
We obtained an unprecedented number of genes per cell.
Single cell resolution is vital to capturing the complexity of cancer but droplet-based methods are unreliable for morphologically large cells.
A powerful assay to explore complex tumor microenvironments.
We fix samples when they are ready, putting us in charge of our experimental timing.
A striking breadth of cell types were identified with high gene counts
Using large datasets like the ones generated by Parse, was important for identifying as many different ‘topics’ as possible.
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.
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.
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.
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.
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.
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