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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
Published on: January 10, 2019
Comparison of single-cell RNA-seq methods to enable transcriptome profiling of neutrophils in clinical samples
Klas Hatje1, Kim Schneider1, Sabrina Danilin1
1Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland.
None:
Monitoring neutrophil gene expression is a powerful tool for understanding disease mechanisms, developing diagnostics, enhancing therapies, and optimizing clinical trials. Neutrophils are sensitive to the processing, storage, and transportation steps that are involved in clinical sample analysis. This study evaluates the capabilities of technologies from 10× Genomics, PARSE Biosciences, and HIVE (Honeycomb Biotechnologies) to generate single-cell RNA sequencing (scRNA-seq) data from human blood-derived neutrophils. Our comparative analysis shows that all methods produced high-quality data, importantly capturing the transcriptomes of neutrophils. Here, we establish a reliable scRNA-seq workflow for neutrophils in clinical trials: we offer guidelines on sample collection to preserve RNA quality and demonstrate how each method performs in capturing sensitive cell populations in clinical practice.
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