← BioTransfer GEO Dataset Finder
GEO series

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

GSE275090 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/06/04 Platform GPL24676Platform GPL28337
Summary
Different companies have developed sequencing platforms with a wide variety of strengths and drawbacks. Illumina is currently used for high-throughput and highly accurate short-read sequencing, however, other companies, such as MGI Tech, have developed a similar sequencing method at a lower cost. The accuracy, sensitivity, and reproducibility of Illumina and MGI Tech have been compared, showing high similarity. While many comparisons exist, the performance of MGI on gene expression and cell clustering for single-cell applications is unknown. In this study, we performed single-cell RNA sequencing on three human breast cancer samples to compare the cell clustering or average gene expressions for the reads generated by Illumina and MGI sequencing. We observed unique platform-specific cells detected and show that these low-quality cells appear randomly and could only affect minor cell populations.
Published in
Validation of single-cell transcriptomic profiles from Illumina and MGI Tech sequencing platforms
Vandenbempt V, Roach M, Mohenska M et al. · FEBS letters 2025 · PMID 40490970 · doi:10.1002/1873-3468.70087
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE275090_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1149090 and SRA study SRP526950. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.