Related Experiment Video
Updated: Jun 5, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
Published on: January 10, 2019
A dataset examining technical factors on fixed white blood cell single-cell RNA-seq
Daniel V Brown1, Agnieszka Swierczak2, Yue You1,3
1The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia.
Abstract:
Single-cell RNA sequencing (scRNA-seq) is a powerful technology that enables the measurement of gene expression in individual cells. Such precision provides insights into cellular heterogeneity that bulk methods might overlook. Fragile cells, in particular neutrophils, have posed significant challenges for scRNA-Seq due to their ex vivo fragility, high RNase content and consequent loss during cryopreservation. The introduction of fixed scRNA-Seq methodology offers a promising solution to these challenges. We evaluated the performance of two different commercial platforms on red blood cell-depleted whole blood cells: 10x Genomics Flex v1 and Honeycomb HIVE v1. These data are publicly available from the Gene Expression Omnibus database (accession number GSE266615). Further insights could be gained by correcting batch and technical effects introduced by storage time after fixation and cell numbers fixed. These data may be used to examine how reflective the transcriptome of neutrophils are of the native environment.
More Related Videos
09:34A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
Published on: October 25, 2018
12:44Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
Published on: November 11, 2014