Author

M. G. Monaghan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 4

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:microscopy & imaging analysis· 3 Approach:experimental assay· 2 Research Focus:metabolism & bioenergetics· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

N. Neto· 2 shared A. Dunne· 1 shared C. Di Nitto· 1 shared D. Hoey· 1 shared H. K. Fitzgerald· 1 shared M. Solazzo· 1 shared M. Suku· 1 shared M. T. Raimondi· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersBioengineering

N. Neto

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Author profile →

4 papers

Recent·Most cited

2P-FLIM unveils time-dependent metabolic shifts during osteogenic differentiation with a key role of lactate to fuel osteogenesis via glutaminolysis identified

N. Neto, M. Suku, D. Hoey, M. G. Monaghan

This study uses 2P-FLIM to track metabolic shifts during osteogenic differentiation of hMSCs, identifying lactate's role in promoting glutaminolysis and osteogenesis.

bioRxiv · Jan 13, 2023Bioengineering

A guide to the manufacture of sustainable, ready to use in vitro platforms for the electric-field pacing of cellularised 3D porous scaffolds

M. G. Monaghan, M. Solazzo

This paper describes methods to create and validate an electrical pacing bioreactor for 3D cellularized scaffolds, showing increased metabolism and cell alignment with anisotropic scaffolds.

bioRxiv · Oct 4, 2022 · PreprintBioengineering

Non-Invasive classification of macrophage polarisation by 2P-FLIM and machine learning

N. G. B. Neto, S. A. O'Rourke, M. Zhang, H. K. Fitzgerald, A. Dunne, M. G. Monaghan

This study uses 2P-FLIM and machine learning to classify human macrophage polarization based on metabolic state, achieving high accuracy in distinguishing M1 and M2 phenotypes.

bioRxiv · Jan 22, 2022Bioengineering

Intracellular label-free detection of mesenchymal stem cell metabolism within a perivascular niche-on-a-chip

S. Perottoni, N. Neto, C. Di Nitto, M. T. Raimondi, M. G. Monaghan

This paper presents a microfluidic platform with FLIM to monitor intracellular metabolism of human MSCs in a perivascular niche-on-a-chip, correlating metabolic activity with oxygen gradients.

bioRxiv · Oct 3, 2020Bioengineering