Characterization of time-course morphological features for efficient prediction of osteogenic potential in human mesenchymal stem cells

Biotechnology and Bioengineering

Volumn 111, Issue 7, 2014, Pages 1430-1439

  Matsuoka, Fumiko ^a   Takeuchi, Ichiro ^b   Agata, Hideki ^c   Kagami, Hideaki ^c,d   Shiono, Hirofumi ^e   Kiyota, Yasujiro ^e   Honda, Hiroyuki ^a   Kato, Ryuji ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b NAGOYA INSTITUTE OF TECHNOLOGY   (Japan)

^c UNIVERSITY OF TOKYO   (Japan)

^d MATSUMOTO DENTAL UNIVERSITY   (Japan)

^e NIKON CORPORATION   (Japan)

Author keywords

Image based analysis; Mesenchymal stem cell; Non invasive analysis; Osteogenic differentiation; Prediction

Indexed keywords

BONE; CELL CULTURE; FORECASTING; PHOSPHATASES;

HUMAN BONE MARROW MESENCHYMAL STEM CELLS; HUMAN MESENCHYMAL STEM CELLS; IMAGE-BASED ANALYSIS; MESENCHYMAL STEM CELL; MORPHOLOGICAL FEATURES; NON-INVASIVE ANALYSIS; OSTEOGENIC DIFFERENTIATION; POSITIVE PREDICTIVE VALUES;

STEM CELLS;

ALKALINE PHOSPHATASE; CALCIUM;

ACCURACY; ADULT; ARTICLE; BONE DEVELOPMENT; CELL DIFFERENTIATION; CELL STRUCTURE; CELL THERAPY; ENZYME ACTIVITY; HUMAN; HUMAN CELL; IMAGE PROCESSING; MALE; MESENCHYMAL STEM CELL; NORMAL HUMAN; PREDICTION; PREDICTIVE VALUE; QUALITY CONTROL; CYTOLOGY; FLUORESCENCE IMAGING; MESENCHYMAL STROMA CELL; PHYSIOLOGY; PROCEDURES; TIME FACTOR;

CELL DIFFERENTIATION; CYTOLOGICAL TECHNIQUES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MESENCHYMAL STROMAL CELLS; OPTICAL IMAGING; OSTEOGENESIS; TIME FACTORS;

EID: 84901604049     PISSN: 00063592     EISSN: 10970290     Source Type: Journal    
DOI: 10.1002/bit.25189     Document Type: Article

References (18)

1. Becker T, Madany A. 2012. Morphology-based features for adaptive mitosis detection of in vitro stem cell tracking data. Methods Inf Med 51(5):449-456.
2. Erdmann G, Volz C, Boutros M. 2012. Systematic approaches to dissect biological processes in stem cells by image-based screening. Biotechnol J 7(6):768-778.
3. Hastie T, Tibshirani R, Friedman J. 2009. The elements of statistical learning: Data mining, inference, and prediction. New York, NY: Springer Science+Business Media. pp 43-94.
4. Hong L, Peptan IA, Xu H, Magin RL. 2006. Nondestructive evaluation of osteogenic differentiation in tissue-engineered constructs. J Orthop Res 24(5):889-897.
5. Kagami H, Agata H, Tojo A. 2011. Bone marrow stromal cells (bone marrow-derived multipotent mesenchymal stromal cells) for bone tissue engineering: Basic science to clinical translation. Int J Biochem Cell Biol 43:286-289.
6. Kino-Oka M, Maeda Y, Sato Y, Maruyama N, Takezawa Y, Khoshfetrat AB, Sugawara K, Taya M. 2009. Morphological evaluation of chondrogenic potency in passaged cell populations. J Biosci Bioeng 107:544-551.
7. Li W, Hong L, Hu L, Magin RL. 2010. Magnetization transfer imaging provides a quantitative measure of chondrogenic differentiation and tissue development. Tissue Eng Part C Methods 16C(6):1407-1415.
8. Matsuoka F, Takeuchi I, Agata H, Kagami H, Shiono H, Kiyota Y, Honda H, Kato R. 2013. Morphology-based prediction of osteogenic differentiation potential of human mesenchymal stem cells. PLoS ONE 8(2):e55082.
9. Maul TM, Chew DW, Nieponice A, Vorp DA. 2011. Mechanical stimuli differentially control stem cell behavior: morphology, proliferation, and differentiation. Biomech Model Mechanobiol 10(6):939-953.
10. Platt MO, Wilder CL, Wells A, Griffith LG, Lauffenburger DA. 2009. Multipathway kinase signatures of multipotent stromal cells are predictive for osteogenic differentiation: tissue-specific stem cells. Stem Cells 27(11):2804-2814.
11. Poirier-Quinot M, Frasca G, Wilhelm C, Luciani N, Ginefri JC, Darrasse L, Letourneur D, Le Visage C, Gazeau F. 2010. High-resolution 1.5-Tesla magnetic resonance imaging for tissue-engineered constructs: a noninvasive tool to assess three-dimensional scaffold architecture and cell seeding. Tissue Eng Part C Methods 16C(2):185-200.
12. Ratcliffe A. 2011. The translation of product concept to bone products: A partnership of therapeutic effectiveness and commercialization. Tissue Eng B 17B(6):443-447.
13. Sasaki H, Matsuoka F, Yamamoto W, Kojima K, Honda H, Kato R. 2013. Image-based cell quality assessment: Modeling of cell morphology and quality for clinical cell therapy, studies in mechanobiology. Tissue Eng Biomater 10:207-226.
14. Seiler C, Gazdhar A, Reyes M, Benneker LM, Geiser T, Siebenrock KA, Gantenbein-Ritter B. 2012. Time-lapse microscopy and classification of 2D human mesenchymal stem cells based on cell shape picks up myogenic from osteogenic and adipogenic differentiation. J Tissue Eng Regen Med 19: doi: 10.1002/term.1575.
15. Smith DM. 2012. Assessing commercial opportunities for autologous and allogeneic cell-based products. Regener Med 7(5):721-732.
16. Unadkat HV, Groen N, Doorn J, Fischer B, Barradas AM, Hulsman M, van de Peppel J, Moroni L, van Leeuwen JP, Reinders MJ, van Blitterswijk CA, de Boer J. 2012. High content imaging in the screening of biomaterial-induced MSC behavior. Biomaterials 34(5):1498-1505.
17. Wang W, Deng D, Li J, Liu W. 2013. Elongated cell morphology and uniaxial mechanical stretch contribute to physical attributes of niche environment for MSC tenogenic differentiation. Cell Biol Int 37(7):755-760.
18. Zhang D, Kilian KA. 2013. The effect of mesenchymal stem cell shape on the maintenance of multipotency. Biomaterials 34(16):3962-3969.