Single-cell transcriptomics: a novel precision medicine technique in nephrology.
Cited by: 4
Due to the complex structure and function of the kidneys, the mechanism of kidney disease is unclear. In particular, transcriptomics approaches at the bulk level are unable to differentiate primary autonomous responses, which lead to disease development, from secondary cell non-autonomous responses. Single-cell analysis techniques can overcome the limitations inherent in the measurement of heterogeneous cell populations and clarify the central issues in kidney biology and disease pathogenesis. Single-cell sequencing helps in identifying disease-related biomarkers and pathways, stratifying patients, and deciding on appropriate treatment methods. Here we review a variety of single-cell analysis techniques and single-cell transcriptomics studies performed in the field of nephrology. Moreover, we discuss the future prospects of single-cell analysis-based precision medicine in nephrology.
1. Benchmarking spatial and single-cell transcriptomics integration methods.
2. Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine.
3. Spatial reconstruction of single-cell gene expression data.
4. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R.
5. The Drosophila embryo at single-cell transcriptome resolution.
1. The dynamics of cellular response to therapeutic perturbation using multiplexed quantification of the proteome and transcriptome at single-cell resolution
2. CITE-seq: Large scale simultaneous measuremnt of epitopes and transcriptomes in single cells
3. Comprehensive single cell RNAseq analysis of the kidney reveals novel cell types and unexpected cell plasticity
4. Mapping Mouse Cell Atlas by Microwell-seq
5. Cell hashing enable sample multiplexing, multiplet identification and super-loading on droplet-based single cell RNA-sequencing platforms