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3D vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes

Modelling proximal tubule physiology and pharmacology is essential to understand tubular biology and guide drug discovery. To date, multiple models have been developed; however, their relevance to human disease has yet to be evaluated. Here, we report a 3D vascularized proximal tubule-on-a-multiplex...

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Autores principales: Carracedo, Miguel, Robinson, Sanlin, Alaei, Babak, Clausen, Maryam, Hicks, Ryan, Belfield, Graham, Althage, Magnus, Bak, Annette, Lewis, Jennifer A., Hansen, Pernille B. L., Williams, Julie M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337267/
https://www.ncbi.nlm.nih.gov/pubmed/37341452
http://dx.doi.org/10.1039/d2lc00723a
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author Carracedo, Miguel
Robinson, Sanlin
Alaei, Babak
Clausen, Maryam
Hicks, Ryan
Belfield, Graham
Althage, Magnus
Bak, Annette
Lewis, Jennifer A.
Hansen, Pernille B. L.
Williams, Julie M.
author_facet Carracedo, Miguel
Robinson, Sanlin
Alaei, Babak
Clausen, Maryam
Hicks, Ryan
Belfield, Graham
Althage, Magnus
Bak, Annette
Lewis, Jennifer A.
Hansen, Pernille B. L.
Williams, Julie M.
author_sort Carracedo, Miguel
collection PubMed
description Modelling proximal tubule physiology and pharmacology is essential to understand tubular biology and guide drug discovery. To date, multiple models have been developed; however, their relevance to human disease has yet to be evaluated. Here, we report a 3D vascularized proximal tubule-on-a-multiplexed chip (3DvasPT-MC) device composed of co-localized cylindrical conduits lined with confluent epithelium and endothelium, embedded within a permeable matrix, and independently addressed by a closed-loop perfusion system. Each multiplexed chip contains six 3DvasPT models. We performed RNA-seq and compared the transcriptomic profile of proximal tubule epithelial cells (PTECs) and human glomerular endothelial cells (HGECs) seeded in our 3D vasPT-MCs and on 2D transwell controls with and without a gelatin–fibrin coating. Our results reveal that the transcriptional profile of PTECs is highly dependent on both the matrix and flow, while HGECs exhibit greater phenotypic plasticity and are affected by the matrix, PTECs, and flow. PTECs grown on non-coated Transwells display an enrichment of inflammatory markers, including TNF-a, IL-6, and CXCL6, resembling damaged tubules. However, this inflammatory response is not observed for 3D proximal tubules, which exhibit expression of kidney signature genes, including drug and solute transporters, akin to native tubular tissue. Likewise, the transcriptome of HGEC vessels resembled that of sc-RNAseq from glomerular endothelium when seeded on this matrix and subjected to flow. Our 3D vascularized tubule on chip model has utility for both renal physiology and pharmacology.
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spelling pubmed-103372672023-07-13 3D vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes Carracedo, Miguel Robinson, Sanlin Alaei, Babak Clausen, Maryam Hicks, Ryan Belfield, Graham Althage, Magnus Bak, Annette Lewis, Jennifer A. Hansen, Pernille B. L. Williams, Julie M. Lab Chip Chemistry Modelling proximal tubule physiology and pharmacology is essential to understand tubular biology and guide drug discovery. To date, multiple models have been developed; however, their relevance to human disease has yet to be evaluated. Here, we report a 3D vascularized proximal tubule-on-a-multiplexed chip (3DvasPT-MC) device composed of co-localized cylindrical conduits lined with confluent epithelium and endothelium, embedded within a permeable matrix, and independently addressed by a closed-loop perfusion system. Each multiplexed chip contains six 3DvasPT models. We performed RNA-seq and compared the transcriptomic profile of proximal tubule epithelial cells (PTECs) and human glomerular endothelial cells (HGECs) seeded in our 3D vasPT-MCs and on 2D transwell controls with and without a gelatin–fibrin coating. Our results reveal that the transcriptional profile of PTECs is highly dependent on both the matrix and flow, while HGECs exhibit greater phenotypic plasticity and are affected by the matrix, PTECs, and flow. PTECs grown on non-coated Transwells display an enrichment of inflammatory markers, including TNF-a, IL-6, and CXCL6, resembling damaged tubules. However, this inflammatory response is not observed for 3D proximal tubules, which exhibit expression of kidney signature genes, including drug and solute transporters, akin to native tubular tissue. Likewise, the transcriptome of HGEC vessels resembled that of sc-RNAseq from glomerular endothelium when seeded on this matrix and subjected to flow. Our 3D vascularized tubule on chip model has utility for both renal physiology and pharmacology. The Royal Society of Chemistry 2023-06-21 /pmc/articles/PMC10337267/ /pubmed/37341452 http://dx.doi.org/10.1039/d2lc00723a Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Carracedo, Miguel
Robinson, Sanlin
Alaei, Babak
Clausen, Maryam
Hicks, Ryan
Belfield, Graham
Althage, Magnus
Bak, Annette
Lewis, Jennifer A.
Hansen, Pernille B. L.
Williams, Julie M.
3D vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes
title 3D vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes
title_full 3D vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes
title_fullStr 3D vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes
title_full_unstemmed 3D vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes
title_short 3D vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes
title_sort 3d vascularised proximal tubules-on-a-multiplexed chip model for enhanced cell phenotypes
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337267/
https://www.ncbi.nlm.nih.gov/pubmed/37341452
http://dx.doi.org/10.1039/d2lc00723a
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