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Single-cell RNA sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis

Kidney functions, including electrolyte and water reabsorption and secretion, could be influenced by circulating hormones. The pituitary gland produces a variety of hormones and cytokines; however, the influence of these factors on the kidney has not been well explained and explored. To provide more...

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Autores principales: Deng, Yiyao, Da, Jingjing, Yu, Jiali, Zhou, Chaomin, Yuan, Jing, Zha, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249760/
https://www.ncbi.nlm.nih.gov/pubmed/35778423
http://dx.doi.org/10.1038/s41598-022-14680-2
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author Deng, Yiyao
Da, Jingjing
Yu, Jiali
Zhou, Chaomin
Yuan, Jing
Zha, Yan
author_facet Deng, Yiyao
Da, Jingjing
Yu, Jiali
Zhou, Chaomin
Yuan, Jing
Zha, Yan
author_sort Deng, Yiyao
collection PubMed
description Kidney functions, including electrolyte and water reabsorption and secretion, could be influenced by circulating hormones. The pituitary gland produces a variety of hormones and cytokines; however, the influence of these factors on the kidney has not been well explained and explored. To provide more in-depth information and insights to support the pituitary–kidney axis connection, we used mouse pituitary and kidney single-cell transcriptomics data from the GEO database for further analysis. Based on a ligand–receptor pair analysis, cell–cell interaction patterns between the pituitary and kidney cell types were described. Key ligand–receptor pairs, such as GH-GHR, PTN-SDC2, PTN-SDC4, and DLK1-NOTCH3, were relatively active in the pituitary–kidney axis. These ligand–receptor pairs mainly target proximal tubule cells, principal cells, the loop of Henle, intercalated cells, pericytes, mesangial cells, and fibroblasts, and these cells are related to physiological processes, such as substance reabsorption, angiogenesis, and tissue repair. Our results suggested that the pituitary gland might directly regulate kidney function by secreting multiple hormones or cytokines and indicated that the above ligand–receptor pairs might represent a new research focus for studies on kidney function or kidney disease.
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spelling pubmed-92497602022-07-03 Single-cell RNA sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis Deng, Yiyao Da, Jingjing Yu, Jiali Zhou, Chaomin Yuan, Jing Zha, Yan Sci Rep Article Kidney functions, including electrolyte and water reabsorption and secretion, could be influenced by circulating hormones. The pituitary gland produces a variety of hormones and cytokines; however, the influence of these factors on the kidney has not been well explained and explored. To provide more in-depth information and insights to support the pituitary–kidney axis connection, we used mouse pituitary and kidney single-cell transcriptomics data from the GEO database for further analysis. Based on a ligand–receptor pair analysis, cell–cell interaction patterns between the pituitary and kidney cell types were described. Key ligand–receptor pairs, such as GH-GHR, PTN-SDC2, PTN-SDC4, and DLK1-NOTCH3, were relatively active in the pituitary–kidney axis. These ligand–receptor pairs mainly target proximal tubule cells, principal cells, the loop of Henle, intercalated cells, pericytes, mesangial cells, and fibroblasts, and these cells are related to physiological processes, such as substance reabsorption, angiogenesis, and tissue repair. Our results suggested that the pituitary gland might directly regulate kidney function by secreting multiple hormones or cytokines and indicated that the above ligand–receptor pairs might represent a new research focus for studies on kidney function or kidney disease. Nature Publishing Group UK 2022-07-01 /pmc/articles/PMC9249760/ /pubmed/35778423 http://dx.doi.org/10.1038/s41598-022-14680-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Deng, Yiyao
Da, Jingjing
Yu, Jiali
Zhou, Chaomin
Yuan, Jing
Zha, Yan
Single-cell RNA sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis
title Single-cell RNA sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis
title_full Single-cell RNA sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis
title_fullStr Single-cell RNA sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis
title_full_unstemmed Single-cell RNA sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis
title_short Single-cell RNA sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis
title_sort single-cell rna sequencing data analysis suggests the cell–cell interaction patterns of the pituitary–kidney axis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249760/
https://www.ncbi.nlm.nih.gov/pubmed/35778423
http://dx.doi.org/10.1038/s41598-022-14680-2
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