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Quantitative proteomics reveal lineage-specific protein profiles in iPSC-derived Marfan syndrome smooth muscle cells

Marfan syndrome (MFS) is a connective tissue disorder caused by mutations in the FBN1 gene that produces wide disease phenotypic variability. The lack of ample genotype–phenotype correlation hinders translational study development aimed at improving disease prognosis. In response to this need, an in...

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Autores principales: Iosef, Cristiana, Pedroza, Albert J., Cui, Jason Z., Dalal, Alex R., Arakawa, Mamoru, Tashima, Yasushi, Koyano, Tiffany K., Burdon, Grayson, Churovich, Samantha M. P., Orrick, Joshua O., Pariani, Mitchel, Fischbein, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683538/
https://www.ncbi.nlm.nih.gov/pubmed/33230159
http://dx.doi.org/10.1038/s41598-020-77274-w
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author Iosef, Cristiana
Pedroza, Albert J.
Cui, Jason Z.
Dalal, Alex R.
Arakawa, Mamoru
Tashima, Yasushi
Koyano, Tiffany K.
Burdon, Grayson
Churovich, Samantha M. P.
Orrick, Joshua O.
Pariani, Mitchel
Fischbein, Michael P.
author_facet Iosef, Cristiana
Pedroza, Albert J.
Cui, Jason Z.
Dalal, Alex R.
Arakawa, Mamoru
Tashima, Yasushi
Koyano, Tiffany K.
Burdon, Grayson
Churovich, Samantha M. P.
Orrick, Joshua O.
Pariani, Mitchel
Fischbein, Michael P.
author_sort Iosef, Cristiana
collection PubMed
description Marfan syndrome (MFS) is a connective tissue disorder caused by mutations in the FBN1 gene that produces wide disease phenotypic variability. The lack of ample genotype–phenotype correlation hinders translational study development aimed at improving disease prognosis. In response to this need, an induced pluripotent stem cell (iPSC) disease model has been used to test patient-specific cells by a proteomic approach. This model has the potential to risk stratify patients to make clinical decisions, including timing for surgical treatment. The regional propensity for aneurysm formation in MFS may be related to distinct smooth muscle cell (SMC) embryologic lineages. Thus, peripheral blood mononuclear cell (PBMC)-derived induced pluripotent stem cells (iPSC) were differentiated into lateral mesoderm (LM, aortic root) and neural crest (NC, ascending aorta/transverse arch) SMC lineages to model MFS aortic pathology. Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) proteomic analysis by tandem mass spectrometry was applied to profile LM and NC iPSC SMCs from four MFS patients and two healthy controls. Analysis revealed 45 proteins with lineage-dependent expression in MFS patients, many of which were specific to diseased samples. Single protein-level data from both iPSC SMCs and primary MFS aortic root aneurysm tissue confirmed elevated integrin αV and reduced MRC2 in clinical disease specimens, validating the iPSC iTRAQ findings. Functionally, iPSC SMCs exhibited defective adhesion to a variety of extracellular matrix proteins, especially laminin-1 and fibronectin, suggesting altered cytoskeleton dynamics. This study defines the aortic embryologic origin-specific proteome in a validated iPSC SMC model to identify novel protein markers associated with MFS aneurysm phenotype. Translating iPSC findings into clinical aortic aneurysm tissue samples highlights the potential for iPSC-based methods to model MFS disease for mechanistic studies and therapeutic discovery in vitro.
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spelling pubmed-76835382020-11-24 Quantitative proteomics reveal lineage-specific protein profiles in iPSC-derived Marfan syndrome smooth muscle cells Iosef, Cristiana Pedroza, Albert J. Cui, Jason Z. Dalal, Alex R. Arakawa, Mamoru Tashima, Yasushi Koyano, Tiffany K. Burdon, Grayson Churovich, Samantha M. P. Orrick, Joshua O. Pariani, Mitchel Fischbein, Michael P. Sci Rep Article Marfan syndrome (MFS) is a connective tissue disorder caused by mutations in the FBN1 gene that produces wide disease phenotypic variability. The lack of ample genotype–phenotype correlation hinders translational study development aimed at improving disease prognosis. In response to this need, an induced pluripotent stem cell (iPSC) disease model has been used to test patient-specific cells by a proteomic approach. This model has the potential to risk stratify patients to make clinical decisions, including timing for surgical treatment. The regional propensity for aneurysm formation in MFS may be related to distinct smooth muscle cell (SMC) embryologic lineages. Thus, peripheral blood mononuclear cell (PBMC)-derived induced pluripotent stem cells (iPSC) were differentiated into lateral mesoderm (LM, aortic root) and neural crest (NC, ascending aorta/transverse arch) SMC lineages to model MFS aortic pathology. Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) proteomic analysis by tandem mass spectrometry was applied to profile LM and NC iPSC SMCs from four MFS patients and two healthy controls. Analysis revealed 45 proteins with lineage-dependent expression in MFS patients, many of which were specific to diseased samples. Single protein-level data from both iPSC SMCs and primary MFS aortic root aneurysm tissue confirmed elevated integrin αV and reduced MRC2 in clinical disease specimens, validating the iPSC iTRAQ findings. Functionally, iPSC SMCs exhibited defective adhesion to a variety of extracellular matrix proteins, especially laminin-1 and fibronectin, suggesting altered cytoskeleton dynamics. This study defines the aortic embryologic origin-specific proteome in a validated iPSC SMC model to identify novel protein markers associated with MFS aneurysm phenotype. Translating iPSC findings into clinical aortic aneurysm tissue samples highlights the potential for iPSC-based methods to model MFS disease for mechanistic studies and therapeutic discovery in vitro. Nature Publishing Group UK 2020-11-23 /pmc/articles/PMC7683538/ /pubmed/33230159 http://dx.doi.org/10.1038/s41598-020-77274-w Text en © The Author(s) 2020 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/.
spellingShingle Article
Iosef, Cristiana
Pedroza, Albert J.
Cui, Jason Z.
Dalal, Alex R.
Arakawa, Mamoru
Tashima, Yasushi
Koyano, Tiffany K.
Burdon, Grayson
Churovich, Samantha M. P.
Orrick, Joshua O.
Pariani, Mitchel
Fischbein, Michael P.
Quantitative proteomics reveal lineage-specific protein profiles in iPSC-derived Marfan syndrome smooth muscle cells
title Quantitative proteomics reveal lineage-specific protein profiles in iPSC-derived Marfan syndrome smooth muscle cells
title_full Quantitative proteomics reveal lineage-specific protein profiles in iPSC-derived Marfan syndrome smooth muscle cells
title_fullStr Quantitative proteomics reveal lineage-specific protein profiles in iPSC-derived Marfan syndrome smooth muscle cells
title_full_unstemmed Quantitative proteomics reveal lineage-specific protein profiles in iPSC-derived Marfan syndrome smooth muscle cells
title_short Quantitative proteomics reveal lineage-specific protein profiles in iPSC-derived Marfan syndrome smooth muscle cells
title_sort quantitative proteomics reveal lineage-specific protein profiles in ipsc-derived marfan syndrome smooth muscle cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683538/
https://www.ncbi.nlm.nih.gov/pubmed/33230159
http://dx.doi.org/10.1038/s41598-020-77274-w
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