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.
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Combinatorial barcoding happens within cells themselves – resulting in extraordinary specificity and scalability.
The Next Evolution of Single Cell RNA-Seq
Conventional droplet-based single-cell technologies struggle as cell or experiment sizes change. Parse makes it easy to scale your experiments regardless of cell size or sample type. The Evercode™ split-pool combinatorial barcoding technology, originally based on the approach published in Science and known widely as SPLiT-Seq, is accessible to any standard biology lab.
Split | Samples are distributed into wells and the first, sample-specific barcodes are applied to fixed cells or nuclei with an in-cell reverse transcription (RT) reaction.
Pool | Cells from each well are pooled together.
Split | Cells or nuclei are distributed across a plate and an in-cell ligation appends the second barcode.
Split | A third barcode is applied with another in-cell ligation after the cells or nuclei are split across a plate.
Split | The pooled cells are divided across several sublibraries. The cells are lysed and the fourth, sublibrary-specific barcode is applied by PCR.
Split | The library preparation appends adapters ready for loading on any Illumina sequencer.
Run more samples, use less sequencing, and delve deeper into the biology with gene and transcript detection that outperforms droplet-based methods. Evercode™ combinatorial barcoding technology works inside individual cells in a highly parallel fashion, resulting in unmatched data quality regardless of experimental size.
Our data analysis package transforms sequencing output into understandable results, enabling the ability to assess data quality, identify sample differences, and interrogate genes of interest. Each analysis provides an interactive web report allowing for anyone to easily browse the data — in addition to more detailed files that allow for more complex downstream analysis.
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