Announcing VASA-seq 1.1

Screenshot from the VASA-seq 1.1 whitepaper

We’re delighted to announce that we have improved our VASA-seq 1.1 protocol.

Vast transcriptome Analysis of Single cells by A-tailing (VASA-seq) is a single-cell sequencing platform for full-length, total RNA sequencing. While most other methods detect solely mRNA transcripts by capture and amplification of the poly(A)-tail, VASA-seq detects also non-polyadenylated RNA biotypes by fragmenting and tailing all RNA molecules. The original paper is here. Read more about VASA-seq on our service page.

Highest sensitivity

The original VASA-seq protocol shows high sensitivity for detecting protein-coding and non-coding RNA molecules compared to other single-cell sequencing technologies such as 10x Genomics and Smart-seq3.

However, we have generated an optimized protocol dubbed VASA-seq 1.1. This has resulted in VASA-seq 1.1, the next iteration of VASA-seq single-cell total-RNA sequencing technology. Its protocol does not change any of the underlying molecular technology used in VASA-seq but contains optimized steps for the single-cell reactions. It is also upgraded with specially designed mouse rRNA depletion probes, creating an optimized compatibility with mouse tissue

More species with VASA-seq 1.1

Our updated workflow now also makes it possible to generate probes for different species with relative ease. It means that VASA-seq is now virtually compatible for all species upon request. If you are interested in applying VASA-seq to your species of interest, whether that be human, mouse, or another species, please contact us.

In our new White Paper, we document a systematic comparison between the old VASA-seq and new VASA-seq 1.1. protocol. We have conducted a systematic comparison of VASA-seq and VASA-seq 1.1 on a human PBMC sample.

Key takeaways

VASA-seq 1.1 shows 24% higher gene and 50% higher UMI detection per cell.

VASA-seq 1.1 detects almost three times more small RNAs.

Mouse rRNA probes outperform currently used human rRNA probes in mouse rRNAs depletion and show 3.8% decrease in disruptive rRNAs, together with 3% and 10% increase in gene and UMI detection, respectively.

Find out which RNA biotypes are captured by our new protocol and what sensitivity is reached. Download our White Paper here:

The VASA-seq 1.1 White Paper

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