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.
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.
Watch past webinars on Evercode technology and its applications.
Information and insight for the entire range of Parse Biosciences products.
Evercode TCR successfully uncovered nearly five hundred thousand unique beta chain clonotypes across 8 samples in a single experiment.
Pan T cells were isolated from 8 healthy human donors’ PBMCs and fixed using Evercode Cell Fixation Kit v2 to stabilize the cell structure and protect the RNA transcriptome from degradation. Fixed samples were stored at -80C until all samples were ready for further processing in a single experiment with the Evercode TCR Mega kit. Whole transcriptome and TCR specific libraries were sequenced on Illumina Novaseq 6000 S4 and S2 flow cells, respectively. The data was analyzed with Parse Biosciences Analysis Pipeline v1.0.4.
The assay demonstrated a high sensitivity, detecting TCR alpha chains (75% of cells) and beta chains (84% of cells) in primary human T cells. Median transcripts per cell were 1,420 while median genes per cell were 981 at a sequencing depth of 5,000 reads/cell. Clustering of cells using Seurat 4.0 resulted in all the expected major T cell subtypes in a single experiment, as demonstrated in the UMAP below.
Experimental Summary Report (HTML)
Clonotype Frequency (TSV)
Barcode Report (TSV)
The Adaptive Immune Receptor Repertoire (AIRR) File (TSV)
Whole Transcriptome Results
Digital Gene Expression (DGE) Matrix (12 GB)
All Gene (CSV)
Cell Metadata (CSV)