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.
Fill out this form to get your questions answered by Parse Biosciences single cell experts.
Fresh lung tissue was collected from an adult CD-1 mouse and immediately processed. After isolation with the Singulator™ 100 (S2 Genomics™), nuclei were strained, centrifuged, and resuspended in Nuclei Storage Buffer. The single nuclei suspension was fixed with Evercode Nuclei Fixation v2 then whole transcriptome libraries were created with Evercode WT v2.
Libraries were sequenced on an Illumina Novaseq 6000, and data was processed with Parse Biosciences Analysis Pipeline v1.0.2. The resulting 14,097 nuclei were clustered with Seurat v4.0, manually annotated, and visualized as UMAPs. Our analysis revealed the expected cell types, as shown in the UMAP below.
Talk to our team to request a quote or plan your next experiment.
You can further explore the data and do your own analysis by downloading the raw data below.
Experimental Summary Reports, Digital Gene Expression (DGE) Matrix, All Gene, and Cell Metadata for Evercode WT v2.
Experimental Summary Report (HTML) Digital Gene Expression (DGE) Matrix (324 MB) All Gene (CSV) Cell Metadata (CSV)