Literature DB >> 26865267

High Content Imaging of Early Morphological Signatures Predicts Long Term Mineralization Capacity of Human Mesenchymal Stem Cells upon Osteogenic Induction.

Ross A Marklein1, Jessica L Lo Surdo1, Ian H Bellayr1, Saniya A Godil1, Raj K Puri1, Steven R Bauer1.   

Abstract

Human bone marrow-derived multipotent mesenchymal stromal cells, often referred to as mesenchymal stem cells (MSCs), represent an attractive cell source for many regenerative medicine applications due to their potential for multi-lineage differentiation, immunomodulation, and paracrine factor secretion. A major complication for current MSC-based therapies is the lack of well-defined characterization methods that can robustly predict how they will perform in a particular in vitro or in vivo setting. Significant advances have been made with identifying molecular markers of MSC quality and potency using multivariate genomic and proteomic approaches, and more recently with advanced techniques incorporating high content imaging to assess high-dimensional single cell morphological data. We sought to expand upon current methods of high dimensional morphological analysis by investigating whether short term cell and nuclear morphological profiles of MSCs from multiple donors (at multiple passages) correlated with long term mineralization upon osteogenic induction. Using the combined power of automated high content imaging followed by automated image analysis, we demonstrated that MSC morphology after 3 days was highly correlated with 35 day mineralization and comparable to other methods of MSC osteogenesis assessment (such as alkaline phosphatase activity). We then expanded on this initial morphological characterization and identified morphological features that were highly predictive of mineralization capacities (>90% accuracy) of MSCs from additional donors and different manufacturing techniques using linear discriminant analysis. Together, this work thoroughly demonstrates the predictive power of MSC morphology for mineralization capacity and motivates further studies into MSC morphology as a predictive marker for additional in vitro and in vivo responses. © This article is a U.S. Government work and is in the public domain in the USA. Stem Cells published by Wiley Periodicals, Inc. on behalf of AlphaMed Press.

Entities:  

Keywords:  Automated microscopy; High content imaging; Mesenchymal stem cell; Morphology; Osteogenesis

Mesh:

Substances:

Year:  2016        PMID: 26865267     DOI: 10.1002/stem.2322

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   6.277


  27 in total

1.  Integration of Mesenchymal Stem Cells into a Novel Micropillar Confinement Assay.

Authors:  Mary T Doolin; Kimberly M Stroka
Journal:  Tissue Eng Part C Methods       Date:  2019-09-11       Impact factor: 3.056

2.  Morphological features of IFN-γ-stimulated mesenchymal stromal cells predict overall immunosuppressive capacity.

Authors:  Matthew W Klinker; Ross A Marklein; Jessica L Lo Surdo; Cheng-Hong Wei; Steven R Bauer
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-10       Impact factor: 11.205

3.  Adaptation of a Simple Microfluidic Platform for High-Dimensional Quantitative Morphological Analysis of Human Mesenchymal Stromal Cells on Polystyrene-Based Substrates.

Authors:  Johnny Lam; Ross A Marklein; Jose A Jimenez-Torres; David J Beebe; Steven R Bauer; Kyung E Sung
Journal:  SLAS Technol       Date:  2017-08-21       Impact factor: 3.047

4.  Orthogonal potency analysis of mesenchymal stromal cell function during ex vivo expansion.

Authors:  Danika Khong; Matthew Li; Amy Singleton; Ling-Yee Chin; Shilpaa Mukundan; Biju Parekkadan
Journal:  Exp Cell Res       Date:  2017-11-11       Impact factor: 3.905

5.  High throughput screening of mesenchymal stem cell lines using deep learning.

Authors:  Gyuwon Kim; Jung Ho Jeon; Keonhyeok Park; Sung Won Kim; Do Hyun Kim; Seungchul Lee
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

6.  Effect of the scaffold microenvironment on cell polarizability and capacitance determined by probabilistic computations.

Authors:  Beatriz A Pazmino Betancourt; Stephen J Florczyk; Mylene Simon; Derek Juba; Jack F Douglas; Walid Keyrouz; Peter Bajcsy; Christopher Lee; Carl G Simon
Journal:  Biomed Mater       Date:  2018-01-30       Impact factor: 3.715

7.  Novel Lipid Signaling Mediators for Mesenchymal Stem Cell Mobilization during Bone Repair.

Authors:  Jada M Selma; Anusuya Das; Anthony O Awojoodu; Tiffany Wang; Anjan P Kaushik; Quanjun Cui; Hannah Song; Molly E Ogle; Claire E Olingy; Emily G Pendleton; Kayvan F Tehrani; Luke J Mortensen; Edward A Botchwey
Journal:  Cell Mol Bioeng       Date:  2018-05-29       Impact factor: 2.321

Review 8.  Engineering microenvironments for manufacturing therapeutic cells.

Authors:  Brian J Kwee; Kyung E Sung
Journal:  Exp Biol Med (Maywood)       Date:  2021-07-11

9.  The Implication of Spatial Statistics in Human Mesenchymal Stem Cell Response to Nanotubular Architectures.

Authors:  William Ho; Maria Chiara Munisso; Alexander J Steeves; David J Lomboni; Enara Larrañaga; Sidney Omelon; Elena Martínez; Davide Spinello; Fabio Variola
Journal:  Int J Nanomedicine       Date:  2020-03-30

10.  Characterization of heterogeneous primary human cartilage-derived cell population using non-invasive live-cell phase-contrast time-lapse imaging.

Authors:  Venkata P Mantripragada; Ky-Lyn Tan; Sarinna Vasavada; Wes Bova; John Barnard; George F Muschler
Journal:  Cytotherapy       Date:  2020-10-20       Impact factor: 6.196

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