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Validation of single-cell transcriptomic profiles from Illumina and MGI Tech sequencing platforms

  • Valerie Vandenbempt
  • , Michael Roach
  • , Monika Mohenska
  • , Kellie Wise
  • , Taopeng Wang
  • , Kate Harvey
  • , Kirk Jensen
  • , Alexander Swarbrick
  • , Jose M. Polo
  • , Esteban N. Gurzov
  • , Luciano G. Martelotto

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
1 Downloads (Pure)

Abstract

While Illumina is currently used for high-throughput short-read sequencing, MGI Tech have developed a similar sequencing method at a lower cost. Comparisons of the two platforms revealed that their accuracy, sensitivity, and reproducibility are very similar, but the impact of each on biological insights, particularly in heterogeneous samples, remains unknown. Illumina and MGI Tech were used to generate single-cell RNA-seq libraries from three human cancer samples. While unique platform-specific cells arise after additional cell quality controls, the chosen sequencing platform did not affect either clustering or gene expression analyses. In conclusion, MGI Tech delivers transcriptomic profiles similar to those of Illumina and can be confidently used for high-throughput applications.
Original languageEnglish
Pages (from-to)2533-2542
Number of pages10
JournalFEBS Letters
Volume599
Issue number17
Early online date9 Jun 2025
DOIs
Publication statusPublished - Sept 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • benchmark
  • DNB Technology
  • Illumina
  • MGI Tech
  • SBS technology
  • single-cell/nucleus RNA sequencing

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