Recently, Professor Yu Guangchuang’s team from Southern Medical University published a research article titled “Comparison of Illumina NovaSeq 6000 and GeneMind SURFSeq 5000 platforms for single-cell spatial transcriptomics of mouse brain and lung” in Interdisciplinary Medicine (IF 13.6). The study used the SeekSpace single-cell spatial transcriptomics chip to construct libraries for mouse brain tissue (n = 5) and lung tissue (n = 1), and performed parallel sequencing on the SURFSeq 5000 and NovaSeq 6000 platforms. The analysis results showed that the data quality and downstream analysis results of SURFSeq 5000 are highly consistent with the industry benchmark NovaSeq 6000, with no significant differences.
Moreover, SURFSeq 5000 has a more favorable sequencing cost, providing a cost-effective solution for large-scale spatial omics research.
