Literature DB >> 33441693

Multi-pronged approach to human mesenchymal stromal cells senescence quantification with a focus on label-free methods.

Weichao Zhai1, Jerome Tan1, Tobias Russell2, Sixun Chen1, Dennis McGonagle2, May Win Naing1,3, Derrick Yong4, Elena Jones5.   

Abstract

Human mesenchymal stromal cells (hMSCs) have demonstrated, in various preclinical settings, consistent ability in promoting tissue healing and improving outcomes in animal disease models. However, translation from the preclinical model into clinical practice has proven to be considerably more difficult. One key challenge being the inability to perform in situ assessment of the hMSCs in continuous culture, where the accumulation of the senescent cells impairs the culture's viability, differentiation potential and ultimately leads to reduced therapeutic efficacies. Histochemical [Formula: see text]-galactosidase staining is the current standard for measuring hMSC senescence, but this method is destructive and not label-free. In this study, we have investigated alternatives in quantification of hMSCs senescence, which included flow cytometry methods that are based on a combination of cell size measurements and fluorescence detection of SA-[Formula: see text]-galactosidase activity using the fluorogenic substrate, C[Formula: see text]FDG; and autofluorescence methods that measure fluorescence output from endogenous fluorophores including lipopigments. For identification of senescent cells in the hMSC batches produced, the non-destructive and label-free methods could be a better way forward as they involve minimum manipulations of the cells of interest, increasing the final output of the therapeutic-grade hMSC cultures. In this work, we have grown hMSC cultures over a period of 7 months and compared early and senescent hMSC passages using the advanced flow cytometry and autofluorescence methods, which were benchmarked with the current standard in [Formula: see text]-galactosidase staining. Both the advanced methods demonstrated statistically significant values, (r = 0.76, p [Formula: see text] 0.001 for the fluorogenic C[Formula: see text]FDG method, and r = 0.72, p [Formula: see text] 0.05 for the forward scatter method), and good fold difference ranges (1.120-4.436 for total autofluorescence mean and 1.082-6.362 for lipopigment autofluorescence mean) between early and senescent passage hMSCs. Our autofluroescence imaging and spectra decomposition platform offers additional benefit in label-free characterisation of senescent hMSC cells and could be further developed for adoption for future in situ cellular senescence evaluation by the cell manufacturers.

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Year:  2021        PMID: 33441693      PMCID: PMC7807049          DOI: 10.1038/s41598-020-79831-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  47 in total

1.  Senescence-associated beta-galactosidase is lysosomal beta-galactosidase.

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Journal:  Aging Cell       Date:  2006-04       Impact factor: 9.304

2.  Extensive allelic variation and ultrashort telomeres in senescent human cells.

Authors:  Duncan M Baird; Jan Rowson; David Wynford-Thomas; David Kipling
Journal:  Nat Genet       Date:  2003-01-21       Impact factor: 38.330

Review 3.  [Mesenchymal stem cells: sources, phenotype, and differentiation potential].

Authors:  O V Paniushin; E I Domaratskaia; V I Starostin
Journal:  Izv Akad Nauk Ser Biol       Date:  2006 Jan-Feb

4.  Rapid flow cytometric method for measuring senescence associated beta-galactosidase activity in human fibroblasts.

Authors:  Gerard Noppe; Pim Dekker; Corine de Koning-Treurniet; Joke Blom; Diana van Heemst; Roeland W Dirks; Hans J Tanke; Rudi G J Westendorp; Andrea B Maier
Journal:  Cytometry A       Date:  2009-11       Impact factor: 4.355

5.  Is beta-galactosidase staining a marker of senescence in vitro and in vivo?

Authors:  J Severino; R G Allen; S Balin; A Balin; V J Cristofalo
Journal:  Exp Cell Res       Date:  2000-05-25       Impact factor: 3.905

Review 6.  Mesenchymal stem cells and innate tolerance: biology and clinical applications.

Authors:  Cristina Trento; Francesco Dazzi
Journal:  Swiss Med Wkly       Date:  2010-11-26       Impact factor: 2.193

7.  Protocols to detect senescence-associated beta-galactosidase (SA-betagal) activity, a biomarker of senescent cells in culture and in vivo.

Authors:  Florence Debacq-Chainiaux; Jorge D Erusalimsky; Judith Campisi; Olivier Toussaint
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

8.  Detecting Aβ deposition and RPE cell senescence in the retinas of SAMP8 mice.

Authors:  Le Feng; Lining Cao; Yao Zhang; Fang Wang
Journal:  Discov Med       Date:  2016-03       Impact factor: 2.970

9.  ARMMs as a versatile platform for intracellular delivery of macromolecules.

Authors:  Qiyu Wang; Jiujiu Yu; Tatenda Kadungure; Joseph Beyene; Hong Zhang; Quan Lu
Journal:  Nat Commun       Date:  2018-03-06       Impact factor: 14.919

10.  Replicative senescence of mesenchymal stem cells: a continuous and organized process.

Authors:  Wolfgang Wagner; Patrick Horn; Mirco Castoldi; Anke Diehlmann; Simone Bork; Rainer Saffrich; Vladimir Benes; Jonathon Blake; Stefan Pfister; Volker Eckstein; Anthony D Ho
Journal:  PLoS One       Date:  2008-05-21       Impact factor: 3.240

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  4 in total

1.  Effect of Combined Intraosseous and Intraarticular Infiltrations of Autologous Platelet-Rich Plasma on Subchondral Bone Marrow Mesenchymal Stromal Cells from Patients with Hip Osteoarthritis.

Authors:  Payal Ganguly; Nicolás Fiz; Maider Beitia; Heather E Owston; Diego Delgado; Elena Jones; Mikel Sánchez
Journal:  J Clin Med       Date:  2022-07-04       Impact factor: 4.964

2.  Simple Detection of Unstained Live Senescent Cells with Imaging Flow Cytometry.

Authors:  Marco Malavolta; Robertina Giacconi; Francesco Piacenza; Sergio Strizzi; Maurizio Cardelli; Giorgia Bigossi; Serena Marcozzi; Luca Tiano; Fabio Marcheggiani; Giulia Matacchione; Angelica Giuliani; Fabiola Olivieri; Ilaria Crivellari; Antonio Paolo Beltrami; Alessandro Serra; Marco Demaria; Mauro Provinciali
Journal:  Cells       Date:  2022-08-12       Impact factor: 7.666

3.  Synovial fluid mesenchymal progenitor cells from patients with juvenile idiopathic arthritis demonstrate limited self-renewal and chondrogenesis.

Authors:  Roman J Krawetz; Asmaa Affan; Catherine Leonard; Dwaraka Natha Veeramreddy; Akash Fichadiya; Liam Martin; Heinrike Schmeling
Journal:  Sci Rep       Date:  2022-10-03       Impact factor: 4.996

Review 4.  Computational Methods for Single-Cell Imaging and Omics Data Integration.

Authors:  Ebony Rose Watson; Atefeh Taherian Fard; Jessica Cara Mar
Journal:  Front Mol Biosci       Date:  2022-01-17
  4 in total

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