Evidence map›Paper›PMID 39437716›Full record

ArticleCell reports methods2024

CENCAT enables immunometabolic profiling by measuring protein synthesis via bioorthogonal noncanonical amino acid tagging.

Frank Vrieling, Hendrik J P van der Zande, Britta Naus, Lisa Smeehuijzen, Julia I P van Heck, Bob J Ignacio, Kimberly M Bonger, Jan Van den Bossche, Sander Kersten, Rinke Stienstra

Abstract read
In one paragraph

Article in Cell reports methods, 2024. 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
–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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. 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

10 authors.

Frank VrielingDivision of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands; Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Hendrik J P van der ZandeDivision of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands.
Britta NausDivision of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands.
Lisa SmeehuijzenDivision of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands.
Julia I P van HeckDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Bob J IgnacioDepartment of Synthetic Organic Chemistry, Chemical Biology Lab, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands.
Kimberly M BongerDepartment of Synthetic Organic Chemistry, Chemical Biology Lab, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands.
Jan Van den BosscheDepartment of Molecular Cell Biology and Immunology, Amsterdam Cardiovascular Sciences, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Sander KerstenDivision of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands.
Rinke StienstraDivision of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands; Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands. Electronic address: rinke.stienstra@wur.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular energy metabolism significantly contributes to immune cell function. To further advance immunometabolic research, novel methods to study the metabolism of immune cells in complex samples are required. Here, we introduce CENCAT (cellular energetics through noncanonical amino acid tagging). This technique utilizes click labeling of alkyne-bearing noncanonical amino acids to measure protein synthesis inhibition as a proxy for metabolic activity. CENCAT successfully reproduced known metabolic signatures of lipopolysaccharide (LPS)/interferon (IFN)γ and interleukin (IL)-4 activation in human primary macrophages. Application of CENCAT in peripheral blood mononuclear cells revealed diverse metabolic rewiring upon stimulation with different activators. Finally, CENCAT was used to analyze the cellular metabolism of murine tissue-resident immune cells from various organs. Tissue-specific clustering was observed based on metabolic profiles, likely driven by microenvironmental priming. In conclusion, CENCAT offers valuable insights into immune cell metabolic responses, presenting a powerful platform for studying cellular metabolism in complex samples and tissues in both humans and mice.

Indexed as

Amino AcidsLeukocytes, MononuclearProtein BiosynthesisAnimalsClick ChemistryEnergy MetabolismHumansLipopolysaccharidesMacrophagesMiceMice, Inbred C57BLAmino AcidsLipopolysaccharidesCP: ImmunologyCP: Metabolismenergy metabolismglycolysisimmunometabolismOXPHOSSCENITH

Identifiers

PMID39437716
PMCPMC11573747

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.