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.
Embryonic temperature influences the epigenetic regulation of fish, with long lasting effects on growth and immune development.
To investigate these effects, three groups of Atlantic salmon were grown under different temperatures (4°C, 6°C, and 8°C) from fertilisation to the eyed stage of embryogenesis, then reared at a common temperature. Shortly after embryogenesis, fish were sampled and livers micro-dissected.
The nuclei from six samples (n=2 per temperature group) were processed into single nuclei RNA-Seq (snRNA-Seq) libraries using Parse Biosciences’ Evercode WT v2 Mini kit, then sequenced on an Illumina sequencer.
Figure 1: Atlantic salmon liver analysis workflow (A) and associated UMAP (B)
On average 2,811 nuclei were sequenced per sample, with an average 3,180 genes detected per nucleus. The Evercode Whole Transcriptome assay captured a wide array of cell types and was able to differentiate many hepatocyte sub-populations. Subsequent analysis revealed cluster specific differences in gene expression driven by embryonic temperature for both hepatocytes and immune cell types, highlighting the importance of examining cellular heterogeneity.
Explore Summary Report
Digital Gene Expression (DGE) Matrix (381 MB)
All Genes (CSV)
Cell Metadata (CSV)