Evidence map›Paper›PMID 41269554›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Quantifying Mitochondrial Metabolism and Metabolic Fluxes in Soft Agar Cultures.

Birte Dowerg, Fangfang Chen, Thekla Cordes

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Birte DowergDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany.
Fangfang ChenDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany.
Thekla CordesDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Germany. thekla.cordes@tu-braunschweig.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anchorage-independent cultures provide insights into cell proliferation, differentiation, and tumorigenesis beyond traditional two-dimensional models by mimicking parts of the extracellular matrix (ECM). The soft agar colony formation assay enables cells to proliferate in a three-dimensional manner resulting in metabolic phenotypes that are distinct from traditional monolayer cultures. Here, we established a soft agar colony formation assay with subsequent cell isolation to analyze mitochondrial metabolism, metabolic fluxes, morphology, and gene expression within the same sample. We applied mass spectrometry and tracing approaches to decipher carbon utilization for tricarboxylic acid (TCA) cycle metabolism. We also quantified the alteration of immune-related genes in response to inflammatory stimuli in soft agar cultures that might be relevant to autoimmune diseases, which are frequently associated with inflammatory environments and may contribute insights into chronic inflammation and immune cell survival that parallel tumorigenic processes. Our methodology offers a robust model to better understand cell metabolism and function of anchorage-independent cultures that may contribute to the development of new treatment strategies.

Indexed as

Cell Culture TechniquesMetabolic Flux AnalysisMitochondriaAgarCell ProliferationCitric Acid CycleHumansMass SpectrometryAgarAnchorage-independent culturesExtracellular matrixMass spectrometryMetabolic fluxMetabolismMetabolite extractionMitochondriaSoft agarStable isotope tracer

Identifiers

PMID41269554

What OpenQuestion holds

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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.