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Single cell, Label free Characterisation of Human Mesenchymal Stromal cell Stemness and Future Growth Potential by Autofluorescence Multispectral Imaging

Jared M. Campbell; Abbas Habibalahi; Adnan Agha; Shannon Handley; Aline Knab; Xiaohu Xu; Akanksha Bhargava; Zhilin Lei; Max Mackevicius; Yuan Tian; Saabah B. Mahbub; Ayad G. Anwer; Stan Gronthos; Sharon Paton; Shane T. Grey; Lindsay Wu; Robert B. Gilchrist; Ewa M. Goldys
Stem Cell Reviews and Reports · Vol. 20, Issue 8 · pp. 2283-2292 · 2024

Abstract

Aim To use autofluorescence multispectral imaging (AFMI) to develop a non-invasive assay for the in-depth characterisation of human bone marrow derived mesenchymal stromal cells (hBM-MSCs). Methods hBM-MSCs were imaged by AFMI on gridded dishes, stained for endpoints of interest (STRO-1 positivity, alkaline phosphatase, beta galactosidase, DNA content) then relocated and results correlated. Intensity, texture and morphological features were used to characterise the colour distribution of regions of interest, and canonical discriminant analysis was used to separate groups. Additionally, hBM-MSC lines were cultured to arrest, with AFMI images taken after each passage to investigate whether an assay could be developed for growth potential. Results STRO-1 positivity could be predicted with a receiver operator characteristic area under the curve (AUC) of 0.67. For spontaneous differentiation this was 0.66, for entry to the cell-cycle it was 0.77 and for senescence it was 0.77. Growth potential (population doublings remaining) was estimated with an RMSPE = 2.296. The Mean Absolute Error of the final prediction model indicated that growth potential could be predicted with an error of ± 1.86 doublings remaining. Conclusions This non-invasive methodology enabled the in-depth characterisation of hBM-MSCs from a single assay. This approach is advantageous for clinical applications as well as research and stands out for the characterisation of both present status as well as future behaviour. The use of data from five MSC lines with heterogenous AFMI profiles supports potential generalisability. Graphical Abstract

Bibliographic Information

JournalStem Cell Reviews and Reports
PublisherSpringer
Publication Date2024-11-01
Publication Year2024
Volume20
Issue8
Pages2283-2292
Document TypeJournal Article
Print ISSN2629-3269
eISSN2629-3277
DOI10.1007/s12015-024-10778-4

Access Information

NARA Access Coverage2005-01-01~Current
Journal Homepagehttps://www.springer.com/journal/12015
Publisher PageOpen Publisher Page
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