Advances in single-cell RNA sequencing in glomerular diseases

doi:10.3969/j.issn.1674-8115.2022.10.012

Abstract

Abstract:

Glomerular diseases are a leading cause of chronic kidney disease and end-stage renal failure. Understanding the molecular mechanism underlying the initiation and progression of glomerular diseases is important to early identify risk factors for disease development and rescue renal function. The kidney is composed of complex and highly differentiated cells, which is a major challenge in the study of glomerular diseases. Bulk RNA sequencing cannot assess differential transcription or the interactions between cell types. Single-cell RNA sequencing (scRNA-seq) technology has developed rapidly in recent years, making it possible to study a wide range of cell types in kidney, urine and blood. The application of scRNA-seq to glomerular diseases helps to construct a comprehensive cell atlas, elucidate complex cellular and molecular mechanisms, develop efficient and accurate prognostic biomarkers and cell-specific therapies. This review focuses on the latest research advances in scRNA-seq in primary and secondary glomerular diseases.

Key words: single-cell RNA sequencing (scRNA-seq), transcriptome, glomerulonephritis, diabetic nephropathies, lupus nephritis, glomerulonephritis, IGA, glomerulosclerosis, focal segmental, glomerulonephritis, membranous

CLC Number:

R692.6

XING Haifan, FAN Ying. Advances in single-cell RNA sequencing in glomerular diseases[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(10): 1458-1465.

Figures/Tables 2

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References 53

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Disease	Publi-cation Year	Author	Sample source	Sample number	Technology	Platform	Reference
DN	2019	FU， et al.	Glomerulus （Mouse）	2 groups，n=3/group： eNOS^-/- + Vehicle， eNOS^-/- + STZ	scRNA-seq	Fluidigm C1	［28］
	2019	WILSON， et al.	Nephrectomy	3 diabetic nephropathy samples， 3 control samples	snRNA-seq	10×Genomics	［31］
	2021	ABEDINI， et al.	Urine	17 urine samples from 5 subjects， 1 pooled sample from 10 healthy individuals	scRNA-seq	10×Genomics	［33］
	2021	WU，et al.	Kidney （Mouse）	5 groups，n=2‒ 4/group： db/m+vehicle， db/db + vehicle， db/db + dapagliflflozin， db/db + irbesartan，db/db + dapagliflflozin+irbesartan	scRNA-seq	10×Genomics	［34］
	2022	WU，et al.	Kidney （Mouse）	7 groups， two early time points/group， 70 mice in total： ReninAAV Unx db/db treated with Vehicle， Lisinopril， Rosiglitazone， JNJ-39933673， Lisinopril + JNJ-39933673， Lisinopril + rosiglitazone； LacZ AAV db/m	snRNA-seq	10×Genomics	［35］
	2022	WU，et al.	Kidney （Mouse）		RNA-seq		［35］
LN	2019	ARAZI，et al.	Kidney biopsy	24 lupus nephritis， 10 controls	scRNA-seq	CEL-Seq2	［21］
			Urine	8 lupus nephritis	scRNA-seq	CEL-Seq2
			PBMC	10 lupus nephritis， 6 controls	scRNA-seq	10×Genomics
			PBMC	10 lupus nephritis， 6 controls	RNA-seq
	2019	DER， et al.	Kidney biopsy	21 lupus nephritis， 3 controls	scRNA-seq	Fluidigm C1	［22］
			Skin biopsy	17 lupus nephritis， 3 controls
			PBMC	8 lupus nephritis
IgAN	2020	ZHENG， et al.	Kidney	13 IgAN，6 nephropathy samples from controls	scRNA-seq	STRT-Seq	［37］
	2020	ZHENG， et al.	CD14+ PBMC	5 IgAN， 5 controls	scRNA-seq	STRT-Seq	［37］
	2021	TANG， et al.	Kidney biopsy	4 IgAN， 1 control	scRNA-seq	10×Genomics	［38］
	2021	ZENG， et al.	PBMC	10 IgAN， 6 controls	scRNA-seq	BD Rhapsody	［40］
	2022	ZAMBRANO， et al.	Glomerulus （Mouse）	5 gddY mice， 5 ddY mice	scRNA-seq	SMART-seq2	［39］
PMN	2021	XU，et al.	Kidney biopsy	6 PMN， 2 controls	scRNA-seq	10×Genomics	［43］
FSGS	2021	MENON， et al.	Kidney	24 healthy single-cell samples	scRNA-seq	10×Genomics	［41］
FSGS	2021	LATT， et al.	Urine	23 urine cell samples from 12 subjects	scRNA-seq	10×Genomics	［42］

Disease	Publi-cation Year	Author	Sample source	Sample number	Technology	Platform	Reference
DN	2019	FU， et al.	Glomerulus （Mouse）	2 groups，n=3/group： eNOS^-/- + Vehicle， eNOS^-/- + STZ	scRNA-seq	Fluidigm C1	［28］
	2019	WILSON， et al.	Nephrectomy	3 diabetic nephropathy samples， 3 control samples	snRNA-seq	10×Genomics	［31］
	2021	ABEDINI， et al.	Urine	17 urine samples from 5 subjects， 1 pooled sample from 10 healthy individuals	scRNA-seq	10×Genomics	［33］
	2021	WU，et al.	Kidney （Mouse）	5 groups，n=2‒ 4/group： db/m+vehicle， db/db + vehicle， db/db + dapagliflflozin， db/db + irbesartan，db/db + dapagliflflozin+irbesartan	scRNA-seq	10×Genomics	［34］
	2022	WU，et al.	Kidney （Mouse）	7 groups， two early time points/group， 70 mice in total： ReninAAV Unx db/db treated with Vehicle， Lisinopril， Rosiglitazone， JNJ-39933673， Lisinopril + JNJ-39933673， Lisinopril + rosiglitazone； LacZ AAV db/m	snRNA-seq	10×Genomics	［35］
	2022	WU，et al.	Kidney （Mouse）		RNA-seq		［35］
LN	2019	ARAZI，et al.	Kidney biopsy	24 lupus nephritis， 10 controls	scRNA-seq	CEL-Seq2	［21］
			Urine	8 lupus nephritis	scRNA-seq	CEL-Seq2
			PBMC	10 lupus nephritis， 6 controls	scRNA-seq	10×Genomics
			PBMC	10 lupus nephritis， 6 controls	RNA-seq
	2019	DER， et al.	Kidney biopsy	21 lupus nephritis， 3 controls	scRNA-seq	Fluidigm C1	［22］
			Skin biopsy	17 lupus nephritis， 3 controls
			PBMC	8 lupus nephritis
IgAN	2020	ZHENG， et al.	Kidney	13 IgAN，6 nephropathy samples from controls	scRNA-seq	STRT-Seq	［37］
	2020	ZHENG， et al.	CD14+ PBMC	5 IgAN， 5 controls	scRNA-seq	STRT-Seq	［37］
	2021	TANG， et al.	Kidney biopsy	4 IgAN， 1 control	scRNA-seq	10×Genomics	［38］
	2021	ZENG， et al.	PBMC	10 IgAN， 6 controls	scRNA-seq	BD Rhapsody	［40］
	2022	ZAMBRANO， et al.	Glomerulus （Mouse）	5 gddY mice， 5 ddY mice	scRNA-seq	SMART-seq2	［39］
PMN	2021	XU，et al.	Kidney biopsy	6 PMN， 2 controls	scRNA-seq	10×Genomics	［43］
FSGS	2021	MENON， et al.	Kidney	24 healthy single-cell samples	scRNA-seq	10×Genomics	［41］
FSGS	2021	LATT， et al.	Urine	23 urine cell samples from 12 subjects	scRNA-seq	10×Genomics	［42］

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