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单细胞转录组有助于更好地理解糖尿病肾病中的细胞间相互作用。

Single Cell Transcriptome Helps Better Understanding Crosstalk in Diabetic Kidney Disease.

作者信息

Du Chunyang, Ren Yunzhuo, Li Guixin, Yang Yan, Yan Zhe, Yao Fang

机构信息

Key Laboratory of Kidney Diseases of Hebei Province, Department of Pathology, Hebei Medical University, Shijiazhuang, China.

Department of Burn, The Second Hospital of Hebei Medical University, Shijiazhuang, China.

出版信息

Front Med (Lausanne). 2021 Aug 17;8:657614. doi: 10.3389/fmed.2021.657614. eCollection 2021.

DOI:10.3389/fmed.2021.657614
PMID:34485320
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8415842/
Abstract

Years of research revealed that crosstalk extensively existed among kidney cells, cell factors and metabolites and played an important role in the development of diabetic kidney disease (DKD). In the last few years, single-cell RNA sequencing (scRNA-seq) technology provided new insight into cellular heterogeneity and genetic susceptibility regarding DKD at cell-specific level. The studies based on scRNA-seq enable a much deeper understanding of cell-specific processes such as interaction between cells. In this paper, we aim to review recent progress in single cell transcriptomic analyses of DKD, particularly highlighting on intra- or extra-glomerular cell crosstalk, cellular targets and potential therapeutic strategies for DKD.

摘要

多年的研究表明,肾脏细胞、细胞因子和代谢物之间广泛存在相互作用,并在糖尿病肾病(DKD)的发展中发挥重要作用。在过去几年中,单细胞RNA测序(scRNA-seq)技术为在细胞特异性水平上了解DKD的细胞异质性和遗传易感性提供了新的视角。基于scRNA-seq的研究能够更深入地了解细胞特异性过程,如细胞间的相互作用。在本文中,我们旨在综述DKD单细胞转录组分析的最新进展,特别强调肾小球内或肾小球外细胞间的相互作用、细胞靶点以及DKD的潜在治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fea1/8415842/41388f0e3543/fmed-08-657614-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fea1/8415842/87611eba8d5c/fmed-08-657614-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fea1/8415842/6bb1467dffbf/fmed-08-657614-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fea1/8415842/41388f0e3543/fmed-08-657614-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fea1/8415842/87611eba8d5c/fmed-08-657614-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fea1/8415842/6bb1467dffbf/fmed-08-657614-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fea1/8415842/41388f0e3543/fmed-08-657614-g0003.jpg

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Crosstalk among podocytes, glomerular endothelial cells and mesangial cells in diabetic kidney disease: an updated review.糖尿病肾病中足细胞、肾小球内皮细胞和系膜细胞之间的相互作用:最新综述
Cell Commun Signal. 2024 Feb 19;22(1):136. doi: 10.1186/s12964-024-01502-3.
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本文引用的文献

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Nat Commun. 2021 Apr 15;12(1):2277. doi: 10.1038/s41467-021-22266-1.
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Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney.单细胞转录组和染色质可及性分析重新定义了成人肾脏中的细胞异质性。
Nat Commun. 2021 Apr 13;12(1):2190. doi: 10.1038/s41467-021-22368-w.
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Inference and analysis of cell-cell communication using CellChat.
单细胞转录组谱在早期糖尿病肾病微环境病理生理学中的作用。
Cell Death Dis. 2023 Jul 17;14(7):442. doi: 10.1038/s41419-023-05947-1.
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The biological significance of cuproptosis-key gene MTF1 in pan-cancer and its inhibitory effects on ROS-mediated cell death of liver hepatocellular carcinoma.铜死亡关键基因MTF1在泛癌中的生物学意义及其对活性氧介导的肝细胞癌细胞死亡的抑制作用。
Discov Oncol. 2023 Jun 28;14(1):113. doi: 10.1007/s12672-023-00738-8.
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A comprehensive mouse kidney atlas enables rare cell population characterization and robust marker discovery.一份全面的小鼠肾脏图谱有助于对稀有细胞群体进行表征并发现可靠的标志物。
iScience. 2023 May 18;26(6):106877. doi: 10.1016/j.isci.2023.106877. eCollection 2023 Jun 16.
使用 CellChat 进行细胞间通讯的推断和分析。
Nat Commun. 2021 Feb 17;12(1):1088. doi: 10.1038/s41467-021-21246-9.
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Molecular Mechanisms in Early Diabetic Kidney Disease: Glomerular Endothelial Cell Dysfunction.早期糖尿病肾病的分子机制:肾小球内皮细胞功能障碍。
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