Literature DB >> 29146399

Label-free discrimination analysis of de-differentiated vascular smooth muscle cells, mesenchymal stem cells and their vascular and osteogenic progeny using vibrational spectroscopy.

Claire Molony1, Jennifer McIntyre2, Adrian Maguire2, Roya Hakimjavadi1, Denise Burtenshaw1, Gillian Casey1, Mariana Di Luca1, Bryan Hennelly3, Hugh J Byrne2, Paul A Cahill4.   

Abstract

The accumulation of vascular smooth muscle (SMC)-like cells and stem cell-derived myogenic and osteogenic progeny contributes significantly to arteriosclerotic disease. This study established whether label-free vibrational spectroscopy can discriminate de-differentiated 'synthetic' SMCs from undifferentiated stem cells and their myogenic and osteogenic progeny in vitro, compared with conventional immunocytochemical and genetic analyses. TGF-β1- and Jagged1-induced myogenic differentiation of CD44+ mesenchymal stem cells was confirmed in vitro by immunocytochemical analysis of specific SMC differentiation marker expression (α-actin, calponin and myosin heavy chain 11), an epigenetic histone mark (H3K4me2) at the myosin heavy chain 11 locus, promoter transactivation and mRNA transcript levels. Osteogenic differentiation was confirmed by alizarin red staining of calcium deposition. Fourier Transform Infrared (FTIR) maps facilitated initial screening and discrimination while Raman spectroscopy of individual cell nuclei revealed specific spectral signatures of each cell type in vitro, using Principal Components Analysis (PCA). PCA fed Linear Discriminant Analysis (LDA) enabled quantification of this discrimination and the sensitivity and specificity value was determined for all cell populations based on a leave-one-out cross validation method and revealed that de-differentiated SMCs and stem-cell derived myogenic progeny in culture shared the greatest similarity. FTIR and Raman spectroscopy discriminated undifferentiated stem cells from both their myogenic and osteogenic progeny. The ability to detect stem cell-derived myogenic progeny using label-free platforms in situ may facilitate interrogation of these important phenotypes during vascular disease progression.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fourier transform infrared spectroscopy; Linear discriminant analysis; Myogenic differentiation; Principal component analysis; Raman spectroscopy; Stem cells

Mesh:

Year:  2017        PMID: 29146399     DOI: 10.1016/j.bbamcr.2017.11.006

Source DB:  PubMed          Journal:  Biochim Biophys Acta Mol Cell Res        ISSN: 0167-4889            Impact factor:   4.739


  5 in total

1.  A Single-Cell Raman Spectroscopy Analysis of Bone Marrow Mesenchymal Stem/Stromal Cells to Identify Inter-Individual Diversity.

Authors:  Tamara Kukolj; Jasmina Lazarević; Ana Borojević; Uroš Ralević; Dragana Vujić; Aleksandra Jauković; Nenad Lazarević; Diana Bugarski
Journal:  Int J Mol Sci       Date:  2022-04-28       Impact factor: 6.208

2.  Multimodal Label-Free Monitoring of Adipogenic Stem Cell Differentiation Using Endogenous Optical Biomarkers.

Authors:  Nishir Mehta; Shahensha Shaik; Alisha Prasad; Ardalan Chaichi; Sushant P Sahu; Qianglin Liu; Syed Mohammad Abid Hasan; Elnaz Sheikh; Fabrizio Donnarumma; Kermit K Murray; Xing Fu; Ram Devireddy; Manas Ranjan Gartia
Journal:  Adv Funct Mater       Date:  2021-08-06       Impact factor: 19.924

Review 3.  Vibrational Spectroscopy for In Vitro Monitoring Stem Cell Differentiation.

Authors:  Francesca Ravera; Esen Efeoglu; Hugh J Byrne
Journal:  Molecules       Date:  2020-11-26       Impact factor: 4.411

4.  Identification of key pathways and hub genes in the myogenic differentiation of pluripotent stem cell: a bioinformatics and experimental study.

Authors:  Wenyong Fei; Mingsheng Liu; Yao Zhang; Shichao Cao; Xuanqi Wang; Bin Xie; Jingcheng Wang
Journal:  J Orthop Surg Res       Date:  2021-01-04       Impact factor: 2.359

5.  Disease-Relevant Single Cell Photonic Signatures Identify S100β Stem Cells and their Myogenic Progeny in Vascular Lesions.

Authors:  Claire Molony; Damien King; Mariana Di Luca; Michael Kitching; Abidemi Olayinka; Roya Hakimjavadi; Lourdes A N Julius; Emma Fitzpatrick; Yusof Gusti; Denise Burtenshaw; Killian Healy; Emma K Finlay; David Kernan; Andreu Llobera; Weimin Liu; David Morrow; Eileen M Redmond; Jens Ducrée; Paul A Cahill
Journal:  Stem Cell Rev Rep       Date:  2021-03-17       Impact factor: 5.739

  5 in total

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