Single cell profiling of capillary blood enables out of clinic human immunity studies

Abstract

An individual’s immune system is driven by both genetic and environmental factors that vary over time. To better understand the temporal and inter-individual variability of gene expression within distinct immune cell types, we developed a platform that leverages multiplexed single-cell sequencing and out-of-clinic capillary blood extraction to enable simplified, cost-effective profiling of the human immune system across people and time at single-cell resolution. Using the platform, we detect widespread differences in cell type-specific gene expression between subjects that are stable over multiple days.

Accuracy and tolerability of self-sampling of capillary blood for analysis of inflammation and autoantibodies in rheumatoid arthritis patients—results from a randomized controlled trial

“…Blood sample collection needs to be easy to perform, painless, and provide samples of sufficient quality and quantity for reliable and rapid analysis. Successful implementation of such practice can potentially improve early detection and monitoring of disease [ 7 ], save labor and costs in clinical trials and practice [ 8 – 10 ], and enable flexible drug level monitoring [ 11 ]. Furthermore, self-laboratory results could be made available for clinical visits, thereby reducing potential delays in treatment decisions.…”

Active feature selection discovers minimal gene sets for classifying cell types and disease states with single-cell mRNA-seq data

“…Interestingly, the procedure also identifies multiple members of the S100 Calcium Binding Protein Family (S100A8,S100A9 and S100A6, and S10084) [63, 64, 65] as members of the genes sets that separate MM vs healthy samples. The S100 protein family defines a module of genes that are associated with the induction of stress response pathways.…”

Single-Cell Proteomics with Spatial Attributes: Tools and Techniques

“…Single-cell proteomics has immense importance over single-cell transcriptomics in the clinical aspect because disease pathobiology is directly reflected by the translation of faulty protein, associated post-translation modifications and subcellular localization of protein expression. 84,85 Further, the coupling of nanotechnology with mass spectrometry has made single-cell-type omics more precise. 86,1 The localization of crucial route elements and assemblies that are responsible for triggering changes in the cellular states throughout the initial development or even the advent of diseases like diabetes, cancer, heart failure, or infections could be revealed, most notably, by improvements in spatial proteomics.…”

“…Ground-breaking developments in this field are just around the corner and have the capacity to significantly alter the research in the biomedical field in comparison to the single-cell genomics revolution. Single-cell proteomics has immense importance over single-cell transcriptomics in the clinical aspect because disease pathobiology is directly reflected by the translation of faulty protein, associated post-translation modifications and subcellular localization of protein expression. , Further, the coupling of nanotechnology with mass spectrometry has made single-cell-type omics more precise. , …”

“…Single-cell proteomics has immense importance over single-cell transcriptomics in the clinical aspect because disease pathobiology is directly reflected by the translation of faulty protein, associated post-translation modifications and subcellular localization of protein expression. 83 , 84 Further, the coupling of nanotechnology with mass spectrometry has made single-cell-type omics more precise. 85 , 1 …”