Evidence map›Paper›PMID 39424625›Full record

ArticleScientific reports2024

Quantitative characterization of immune cells by measuring cellular signal transduction pathway activity.

Wilbert Bouwman, Wim Verhaegh, Arie van Doorn, Reinier Raymakers, Tom van der Poll, Anja van de Stolpe

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Article
  2. 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

6 authors.

Wilbert BouwmanCenter of Experimental and Molecular Medicine & Division of Infectious Diseases, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Wim VerhaeghCQM, Eindhoven, The Netherlands.
Arie van DoornPhilips Research, Eindhoven, The Netherlands.
Reinier RaymakersDCDC-Tx, Vught, The Netherlands.
Tom van der PollCenter of Experimental and Molecular Medicine & Division of Infectious Diseases, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Anja van de StolpeDCDC-Tx, Vught, The Netherlands. Anja.van.de.stolpe@dcdc-tx.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many diseases, including cancer, infections, and auto-immune diseases, the immune response is a major determinant of disease progression, response to therapy, and clinical outcome. Innate and adaptive immune responses are controlled by coordinated activity of different immune cell types. The functional activity state of immune cells is determined by Signal Transduction Pathways (STPs). A recently developed technology (Simultaneous Transcriptome-based Activity Profiling of Signal Transduction Pathways, STAP-STP) enables simultaneous and quantitative activity measurement of relevant STPs in immune cells based on mRNA-analysis. STAP-STP technology was used to analyze public transcriptome data of a variety of immune cell types in resting and activated functional state. In addition, a clinical study on rheumatoid arthritis (RA) was analyzed to illustrate utility of the technology. Per sample, activity of androgen and estrogen receptor, PI3K, MAPK, TGFβ, Notch, NFκB, JAK-STAT1/2, and JAK-STAT3 STPs was calculated, generating an STP activity profile (SAP) consisting of 9 activity scores. Each analyzed immune cell type, i.e. naive/resting and immune-activated CD4 + and CD8 + T cells, T helper cells, B cells, NK cells, monocytes, macrophages, and dendritic cells, had a reproducible and characteristic SAP, reflecting both cell type and its activity state. Analysis of clinical RA samples revealed increased TGFβ STP activity in whole blood samples. In conclusion, STAP-STP technology enables quantitative measurement of the functional activity state of immune cells of the innate and adaptive immune system. Aside from diagnostic applications, utility lies in unravelling abnormal immune function in disease and immunomodulatory drug development.

Indexed as

Arthritis, RheumatoidSignal TransductionGene Expression ProfilingHumansKiller Cells, NaturalTranscriptomeImmune responseInnate and adaptive immune systemQuantitative assessmentSignal transduction pathways

Identifiers

PMID39424625
PMCPMC11489675

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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.