Evidence map›Paper›PMID 36941476›Full record

ArticleNature chemical biology2023

Deep thermal profiling for detection of functional proteoform groups.

Nils Kurzawa, Isabelle Rose Leo, Matthias Stahl, Elena Kunold, Isabelle Becher, Anastasia Audrey, Georgios Mermelekas, Wolfgang Huber, André Mateus, Mikhail M Savitski and 1 more

Abstract read
In one paragraph

Article in Nature chemical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  5. The arsenic proteome in cancer: Unravelling molecular mechanisms of anticancer drugs.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Nils KurzawaGenome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-7846-2817
Isabelle Rose LeoClinical Proteomics Mass Spectrometry, Department of Oncology-Pathology Karolinska Institutet, Science for Life Laboratory, Solna, Sweden.
Matthias StahlClinical Proteomics Mass Spectrometry, Department of Oncology-Pathology Karolinska Institutet, Science for Life Laboratory, Solna, Sweden.
Elena KunoldClinical Proteomics Mass Spectrometry, Department of Oncology-Pathology Karolinska Institutet, Science for Life Laboratory, Solna, Sweden.
Isabelle BecherGenome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Anastasia AudreyClinical Proteomics Mass Spectrometry, Department of Oncology-Pathology Karolinska Institutet, Science for Life Laboratory, Solna, Sweden.ORCID 0000-0002-8172-8575
Georgios MermelekasClinical Proteomics Mass Spectrometry, Department of Oncology-Pathology Karolinska Institutet, Science for Life Laboratory, Solna, Sweden.
Wolfgang HuberGenome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-0474-2218
André MateusGenome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0001-6870-0677
Mikhail M SavitskiGenome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. mikhail.savitski@embl.de.ORCID 0000-0003-2011-9247
Rozbeh JafariClinical Proteomics Mass Spectrometry, Department of Oncology-Pathology Karolinska Institutet, Science for Life Laboratory, Solna, Sweden. rozbeh.jafari@ki.se.ORCID 0000-0002-3396-4709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of the functional proteome extends considerably beyond the coding genome, resulting in millions of proteoforms. Investigation of proteoforms and their functional roles is important to understand cellular physiology and its deregulation in diseases but challenging to perform systematically. Here we applied thermal proteome profiling with deep peptide coverage to detect functional proteoform groups in acute lymphoblastic leukemia cell lines with different cytogenetic aberrations. We detected 15,846 proteoforms, capturing differently spliced, cleaved and post-translationally modified proteins expressed from 9,290 genes. We identified differential co-aggregation of proteoform pairs and established links to disease biology. Moreover, we systematically made use of measured biophysical proteoform states to find specific biomarkers of drug sensitivity. Our approach, thus, provides a powerful and unique tool for systematic detection and functional annotation of proteoform groups.

Indexed as

ProteomeTandem Mass SpectrometryCell LineProteome

Identifiers

PMID36941476
PMCPMC10374440

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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.