Evidence map›Paper›PMID 40402451›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Metabolic Profiling of Tumor and Immune Cells Integrating Seahorse and Flow Cytometry.

Nienke B Goedhart, Helga Simon-Molas

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. 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. Review
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

2 authors.

Nienke B GoedhartDepartment of Experimental Immunology, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Helga Simon-MolasDepartment of Experimental Immunology, Amsterdam University Medical Centers, Amsterdam, The Netherlands. h.simonmolas@amsterdamumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying metabolism in the different cellular compartments of the tumor microenvironment (TME) is crucial to identify the specific metabolic signatures that contribute to tumor progression. Additionally, TME-driven metabolic changes can disrupt the essential metabolic processes involved in immune cell function, hindering immunotherapy success. Extracellular flux analysis (Seahorse) is a well-established approach used to characterize cellular metabolism. When combined with flow cytometry-based measurements, it offers a comprehensive view of the metabolic signatures within the different cellular compartments of the TME. Here we provide a detailed description on the procedures of Seahorse analysis and complementary flow cytometry-based metabolic readouts on tumor cells and T cells in the context of cancer, which can also be applied to other physiological and pathological situations.

Indexed as

Flow CytometryMetabolomeMetabolomicsNeoplasmsT-LymphocytesAnimalsCell Line, TumorHumansTumor MicroenvironmentExtracellular flux analysisFlow cytometryImmunotherapyMetabolismMitochondriaTumor microenvironment

Identifiers

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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.