Transcriptomics

Dataset Information

0

Performance comparison of high throughput single-cell RNA-Seq platforms in complex tissues


ABSTRACT: Single-cell transcriptomics has emerged as the preferred tool to define cell identity through the analysis of gene expression signatures. However, there are limited studies that have comprehensively compared the performance of different scRNAseq systems in complex tissues. Here, we present a systematic comparison of three well-established high throughput 3’-scRNAseq platforms: Drop-seq, 10x Chromium and BD Rhapsody; using tumours that present high cell diversity. Our experimental design includes both fresh and artificially damaged samples from the same tumours, which also provides a comparable dataset to examine their performance under challenging conditions. The performance metrics used in this study consist of gene sensitivity, mitochondrial content, reproducibility, clustering capabilities, cell type representation and ambient RNA contamination. These analyses showed that BD Rhapsody and 10x Chromium have similar but higher gene sensitivity than Drop-seq, while BD Rhapsody has the highest mitochondrial content. Interestingly, we found cell type detection biases between platforms, including a lower proportion of endothelial and myofibroblast cells in BD Rhapsody and lower gene sensitivity in granulocytes for 10x Chromium. Moreover, the source of the ambient noise was different between plate-based and droplet-based platforms. In conclusion, our reported platform differential performance should be considered for the selection of the scRNAseq method during the study experimental designs.

ORGANISM(S): Mus musculus

PROVIDER: GSE229765 | GEO | 2024/09/04

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-11-01 | E-MTAB-14560 | biostudies-arrayexpress
2024-11-01 | E-MTAB-14566 | biostudies-arrayexpress
2023-05-31 | E-MTAB-12784 | biostudies-arrayexpress
2023-08-09 | GSE234241 | GEO
2018-11-06 | GSE109037 | GEO
2024-08-26 | GSE228379 | GEO
2023-06-26 | E-MTAB-12954 | biostudies-arrayexpress
2021-10-15 | E-MTAB-8199 | biostudies-arrayexpress
2018-06-14 | GSE111912 | GEO
2021-11-12 | GSE188287 | GEO