Evidence map›Paper›PMID 40220237›Full record

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

Using Seahorse Technology as an Efficient Way of Verifying T Cell Stimulation.

Jonas Aakre Wik, Kristine Stromsnes, Bjørn Steen Skålhegg

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Jonas Aakre WikDivision of Molecular Nutrition, Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Kristine StromsnesDivision of Molecular Nutrition, Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Bjørn Steen SkålheggDivision of Molecular Nutrition, Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway. b.s.skalhegg@medisin.uio.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-dependent stimulation is commonly used to activate, differentiate, and/or to expand T cells for downstream analysis and functions. Such stimulations are inherently connected to endogenous phosphorylation which is commonly assessed using various methods including immunoblotting. However, antibody-dependent stimulation of T cells is also inherently connected to changes in endogenous metabolic activity. We describe methods used to stimulate T cells using soluble and immobilized antibodies in conjunction with immunosuppressive cyclic AMP (cAMP). The stimulations were assessed by downstream phosphorylation using immunoblotting and metabolic changes using Seahorse technology. We use phosphorylation of ERK 1/2, extracellular acidification rate (ECAR) and oxygen consumption rate (OCR) as readouts to represent the activation state of T cells. We also describe how these methods can be used to assess inhibitory stimuli exemplified by the cAMP analogue 8-(4-Chlorophenylthio) adenosine 3',5'-cyclic monophosphate (8-CPT-cAMP), but only if 8-CPT-cAMP is added before anti-CD3. Together the methods described in this chapter provide a comprehensive guideline to isolate, stimulate, and assess T cell stimulation. Moreover, we demonstrate the Seahorse technology as a time and work-efficient way of assessing the effects of T cell stimulation in real time.

Indexed as

Lymphocyte ActivationT-LymphocytesAnimalsCyclic AMPHumansOxygen ConsumptionPhosphorylationCyclic AMPCell signalingImmunologyMetabolismSeahorse technologyT cellsWestern blot

Identifiers

PMID40220237

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.