Evidence map›Paper›PMID 39190057›Full record

ArticleStem cell reviews and reports2024

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 and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stem cell reviews and reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jared M CampbellGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia. j.campbell@unsw.edu.au.ORCID 0000-0003-0163-4251
Abbas HabibalahiGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0001-7833-1705
Adnan AghaGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0009-0000-9500-0377
Shannon HandleyGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0009-0009-3242-125X
Aline KnabGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0009-0006-4715-4252
Xiaohu XuGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0009-0004-3540-2103
Akanksha BhargavaGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0001-8297-6055
Zhilin LeiGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0009-0007-6024-2385
Max MackeviciusGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Yuan TianGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Saabah B MahbubGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0002-3320-2499
Ayad G AnwerGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0002-2029-1023
Stan GronthosMesenchymal Stem Cell Laboratory, School of Biomedicine, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.ORCID 0000-0002-6225-3084
Sharon PatonMesenchymal Stem Cell Laboratory, School of Biomedicine, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.ORCID 0000-0001-7031-3510
Shane T GreyGarvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.ORCID 0000-0003-2160-1625
Lindsay WuSchool of Biomedical Sciences, UNSW Sydney, Sydney, NSW, Australia.ORCID 0000-0002-1599-7574
Robert B GilchristSchool of Clinical Medicine, UNSW Sydney, Sydney, NSW, Australia.ORCID 0000-0003-1611-7142
Ewa M GoldysGraduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0003-2470-7118

Funding

Australian Research Council Discovery project DP170101863Australian Research Council Discovery project DP210102960Cancer Council NSW 2021/ECF1291
6 · The paper itself

Abstract

aimTo 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).

methodshBM-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.

resultsSTRO-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.

conclusionsThis 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.

Indexed as

Cell DifferentiationMesenchymal Stem CellsAntigens, SurfaceCell ProliferationCells, CulturedCellular SenescenceHumansOptical ImagingSingle-Cell AnalysisAntigens, SurfaceSTRO-1 antigen, humanAutofluorescenceCytometryMesenchymal stem cellMicroscopySenescence

Identifiers

PMID39190057
PMCPMC11554749

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.