Evidence map›Paper›PMID 37231147›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2023

Modulation of cellular transcriptome and proteome composition by azidohomoalanine-implications on click chemistry-based secretome analysis.

Friederike Kirschner, Danielle Arnold-Schild, Christian Leps, Mateusz Krzysztof Łącki, Matthias Klein, Yannic Chen, Annekathrin Ludt, Federico Marini, Can Kücük, Lara Stein and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Expanding the methionine toolkit:bioRxiv : the preprint server for biology · 2026
    Article
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  5. 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

18 authors at 2 institutions in 1 country.

Friederike Kirschner *Institute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Danielle Arnold-Schild *Institute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Christian Leps *Institute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Mateusz Krzysztof ŁąckiInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Matthias KleinInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Yannic ChenHelmholtz Institute Translational Oncology, Obere Zahlbacher Straße 63, 55131, Mainz, Germany.
Annekathrin LudtInstitute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Federico MariniInstitute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Can KücükHelmholtz Institute Translational Oncology, Obere Zahlbacher Straße 63, 55131, Mainz, Germany.
Lara SteinInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Ute DistlerInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Malte SielaffInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Thomas MichnaInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Kristina RiegelCell Biology Unit, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Krishnaraj RajalingamCell Biology Unit, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Tobias BoppInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany.
Stefan TenzerInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany. tenzer@uni-mainz.de.
Hansjörg SchildInstitute of Immunology, University Medical Center Mainz, Langenbeckstrasse 1, 55131, Mainz, Germany. schild@uni-mainz.de.ORCID http://orcid.org/0000-0001-9462-3644
Johannes Gutenberg University Mainz · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of the secretome provides important information on proteins defining intercellular communication and the recruitment and behavior of cells in specific tissues. Especially in the context of tumors, secretome data can support decisions for diagnosis and therapy. The mass spectrometry-based analysis of cell-conditioned media is widely used for the unbiased characterization of cancer secretomes in vitro. Metabolic labeling using azide-containing amino acid analogs in combination with click chemistry facilitates this type of analysis in the presence of serum, preventing serum starvation-induced effects. The modified amino acid analogs, however, are less efficiently incorporated into newly synthesized proteins and may perturb protein folding. Combining transcriptome and proteome analysis, we elucidate in detail the effects of metabolic labeling with the methionine analog azidohomoalanine (AHA) on gene and protein expression. Our data reveal that 15-39% of the proteins detected in the secretome displayed changes in transcript and protein expression induced by AHA labeling. Gene Ontology (GO) analyses indicate that metabolic labeling using AHA leads to induction of cellular stress and apoptosis-related pathways and provide first insights on how this affects the composition of the secretome on a global scale. KEY MESSAGES: Azide-containing amino acid analogs affect gene expression profiles. Azide-containing amino acid analogs influence cellular proteome. Azidohomoalanine labeling induces cellular stress and apoptotic pathways. Secretome consists of proteins with dysregulated expression profiles.

Indexed as

ProteomeTranscriptomeAlanineAzidesClick ChemistrySecretomeAlanineAzidesazidohomoalanineProteomeMetabolic labelingProteomeSecretomeTranscriptomeTumor micromilieu

Identifiers

PMID37231147
PMCPMC10300158
OpenAlexW4378188760

What Socratic 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 Socratic graph.