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Single-cell RNA sequencing for the study of kidney disease
by
Lu, Jinrong
, Zhu, Jiayi
, Weng, Huachun
in
Automation
/ Bar codes
/ Biomedical and Life Sciences
/ Biomedicine
/ Carcinoma, Renal Cell
/ Data analysis
/ Diabetic Nephropathies
/ Diabetic nephropathy
/ Gene amplification
/ Gene expression
/ Gene Expression Profiling
/ Genomes
/ Genomics
/ Humans
/ Hydrogels
/ Kidney
/ Kidney cancer
/ Kidney disease
/ Kidney diseases
/ Kidney Neoplasms
/ Molecular Medicine
/ Pathogenesis
/ Review
/ scRNA-seq
/ Sequence Analysis, RNA
2023
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Single-cell RNA sequencing for the study of kidney disease
by
Lu, Jinrong
, Zhu, Jiayi
, Weng, Huachun
in
Automation
/ Bar codes
/ Biomedical and Life Sciences
/ Biomedicine
/ Carcinoma, Renal Cell
/ Data analysis
/ Diabetic Nephropathies
/ Diabetic nephropathy
/ Gene amplification
/ Gene expression
/ Gene Expression Profiling
/ Genomes
/ Genomics
/ Humans
/ Hydrogels
/ Kidney
/ Kidney cancer
/ Kidney disease
/ Kidney diseases
/ Kidney Neoplasms
/ Molecular Medicine
/ Pathogenesis
/ Review
/ scRNA-seq
/ Sequence Analysis, RNA
2023
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Single-cell RNA sequencing for the study of kidney disease
by
Lu, Jinrong
, Zhu, Jiayi
, Weng, Huachun
in
Automation
/ Bar codes
/ Biomedical and Life Sciences
/ Biomedicine
/ Carcinoma, Renal Cell
/ Data analysis
/ Diabetic Nephropathies
/ Diabetic nephropathy
/ Gene amplification
/ Gene expression
/ Gene Expression Profiling
/ Genomes
/ Genomics
/ Humans
/ Hydrogels
/ Kidney
/ Kidney cancer
/ Kidney disease
/ Kidney diseases
/ Kidney Neoplasms
/ Molecular Medicine
/ Pathogenesis
/ Review
/ scRNA-seq
/ Sequence Analysis, RNA
2023
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Single-cell RNA sequencing for the study of kidney disease
Journal Article
Single-cell RNA sequencing for the study of kidney disease
2023
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Overview
The kidney is an important organ for maintaining normal metabolism and stabilising the internal environment, in which, the heterogeneity of cell types has hindered the progress in understanding the mechanisms underlying kidney disease. In recent years the application of single-cell RNA sequencing (scRNA-seq) in nephrology has developed rapidly. In this review, we summarized the technical platform related to scRNA-seq and the role of this technology in investigating the onset and development of kidney diseases, starting from several common kidney diseases (mainly including lupus nephritis, renal cell carcinoma, diabetic nephropathy and acute kidney injury), and provide a reference for the application of scRNA-seq in the study of kidney disease diagnosis, treatment and prognosis.
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