Evidence map›Paper›PMID 37048162›Full record

ArticleCells2023

High-Throughput Microscopy Analysis of Mitochondrial Membrane Potential in 2D and 3D Models.

Caterina Vianello, Federica Dal Bello, Sang Hun Shin, Sara Schiavon, Camilla Bean, Ana Paula Magalhães Rebelo, Tomáš Knedlík, Emad Norouzi Esfahani, Veronica Costiniti, Rodrigo S Lacruz and 10 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 23 citations in OpenAlex.

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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

20 authors at 5 institutions in 3 countries.

Caterina VianelloDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.ORCID 0000-0002-0955-0207
Federica Dal BelloDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.ORCID 0000-0002-9323-955X
Sang Hun ShinDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.
Sara SchiavonDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.
Camilla BeanDepartment of Medicine, University of Udine, Piazzale Kolbe, 33100 Udine, Italy.ORCID 0000-0001-6491-7211
Ana Paula Magalhães RebeloDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.
Tomáš KnedlíkDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.ORCID 0000-0001-7162-6631
Emad Norouzi EsfahaniDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.
Veronica CostinitiDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, NY 10010, USA.ORCID 0000-0002-8472-7797
Rodrigo S LacruzDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, NY 10010, USA.
Giuseppina CovelloDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.ORCID 0000-0001-5660-8283
Fabio MunariDepartment of Biomedical Sciences, Via Ugo Bassi 58B, 35131 Padova, Italy.ORCID 0000-0001-6634-4058
Tommaso ScolaroPediatric Research Institute, Città della Speranza Foundation, Corso Stati Uniti 4 F, 35127 Padova, Italy.
Antonella ViolaDepartment of Biomedical Sciences, Via Ugo Bassi 58B, 35131 Padova, Italy.
Elena RampazzoPediatric Research Institute, Città della Speranza Foundation, Corso Stati Uniti 4 F, 35127 Padova, Italy.
Luca PersanoPediatric Research Institute, Città della Speranza Foundation, Corso Stati Uniti 4 F, 35127 Padova, Italy.ORCID 0000-0002-0050-3666
Sara ZumerleDepartment of Medicine, University of Padova, Via Giustiniani 2, 35128 Padova, Italy.ORCID 0000-0001-6980-0629
Luca ScorranoDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.ORCID 0000-0002-8515-8928
Alessio GianelleNational Institute for Nuclear Physics, Padova Division, Via Marzolo 8, 35131 Padova, Italy.ORCID 0000-0003-3586-0046
Marta GiacomelloDepartment of Biology, University of Padova, Via Ugo Bassi 58B, 35131 Padova, Italy.ORCID 0000-0002-0290-6602
University of Padua · ITNew York University · USIstituto Nazionale di Fisica Nucleare · ITUniversity of Udine · ITVIB-KU Leuven Center for Cancer Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent proteomic, metabolomic, and transcriptomic studies have highlighted a connection between changes in mitochondria physiology and cellular pathophysiological mechanisms. Secondary assays to assess the function of these organelles appear fundamental to validate these -omics findings. Although mitochondrial membrane potential is widely recognized as an indicator of mitochondrial activity, high-content imaging-based approaches coupled to multiparametric to measure it have not been established yet. In this paper, we describe a methodology for the unbiased high-throughput quantification of mitochondrial membrane potential in vitro, which is suitable for 2D to 3D models. We successfully used our method to analyze mitochondrial membrane potential in monolayers of human fibroblasts, neural stem cells, spheroids, and isolated muscle fibers. Moreover, by combining automated image analysis and machine learning, we were able to discriminate melanoma cells from macrophages in co-culture and to analyze the subpopulations separately. Our data demonstrated that our method is a widely applicable strategy for large-scale profiling of mitochondrial activity.

Indexed as

MicroscopyProteomicsFibroblastsHumansMembrane Potential, MitochondrialMitochondriaco-culturemachine learningmitochondrial membrane potentialNSCssingle muscle fibersspheroidsTMRM

Identifiers

PMID37048162
PMCPMC10093082
OpenAlexW4362641079

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.