Our kits take you from single cell or single nuclei suspensions through sequencing straight into biological insights.
Target 100s to 1000s of genes to analyze more samples with less sequencing.
Pair guide RNAs with single cell whole transcriptomes.
Transform single cell sequencing output into understandable results.
Parse Biosciences provides researchers with the ability to perform single cell sequencing with unprecedented scale and ease.
A Seattle-based company with the mission of accelerating progress in human health and scientific research.
Customer interviews, single cell sequencing tips and tricks, and the latest updates from Parse Biosciences.
A list of upcoming conferences and webinars we are attending.
The latest news stories and press releases from Parse Biosciences.
Explore our library of resources to learn more about Evercode technology and some applications from leading researchers.
Download publications and posters featuring the Evercode technology in single cell research.
Explore datasets covering various applications and sample types or access product details.
Upcoming & past webinars on Evercode technology and its applications.
Information and insight for the entire range of Parse Biosciences products.
Evercode WT libraries and the same libraries enriched with Immune1000 Gene Capture showed similar clustering resolution, and cell type proportion with >10 times less sequencing depth. The Immune1000 Panel contains probes designed to enrich for immune cell type markers and pathways.
Immune1000 Panel was used to enrich 8 sublibraries from an Evercode WT kit. Libraries were then sequenced at 2,000 reads/cell, yielding an on-target rate of >80%. When compared to the non-enriched libraries sequenced at 28,000 reads/cell, the Immune1000 panel showed the same cell type clustering as the whole transcriptome.
Figure 1. Cell type clustering in non-enriched and enriched libraries. Whole transcriptome libraries were prepared from human peripheral blood mononuclear cells (PBMC) obtained from 2 donors. Immune1000 captured immune specific genes from 105,462 cells across 8 sublibraries.
A correlation plot produced unbiased concordance of immune cell types from 2 donors in libraries prepared with Evercode WT and enriched with Immune1000 Gene Capture (r2=0.998).
Figure 2. Cell Type proportions are retained. Evercode WT libraries with and without Immune1000 Gene Capture show a nearly perfect concordance of cell types. Each dot corresponds to an immune cell type.
Fill out this form to get your questions answered by Parse Biosciences single cell experts.
Talk to our team to request a quote or plan your next experiment.
Download the data files generated from the preparation and analysis of two donors’ PBMC samples. The datasets include the experimental summary reports, the digital gene expression matrix, the gene files, and the cell metadata with and without Immune1000 Gene Capture.
Experimental Summary Reports, Digital Gene Expression (DGE) Matrix, All Gene, and Cell Metadata with and without Immune1000 Gene Capture.
Whole Transcriptome Experimental Summary Report (HTML) Digital Gene Expression (DGE) Matrix (2.4 GB) All Gene (CSV) Cell Metadata (CSV)
Gene Capture Experimental Summary Report (HTML) Digital Gene Expression (DGE) Matrix (68 MB) All Gene (CSV) Cell Metadata (CSV)