Evidence map›Paper›PMID 26379230›Full record

ArticleNature protocols2015

Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry.

Holger Franken, Toby Mathieson, Dorothee Childs, Gavain M A Sweetman, Thilo Werner, Ina Tögel, Carola Doce, Stephan Gade, Marcus Bantscheff, Gerard Drewes and 3 more

Abstract read
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In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 329 papers.

0numbers the graph read from it
0cells of the map it votes in
329citing 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

329 citing papers in PubMed.

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  17. Spirocyclic β-lactone secondary metabolites modulate spliceosome function.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  18. Review
  19. Review
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269 more citing papers are in PubMed but not listed here.

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

13 authors.

Holger FrankenCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Toby MathiesonCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Dorothee ChildsCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Gavain M A SweetmanCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Thilo WernerCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Ina TögelCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Carola DoceCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Stephan GadeCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Marcus BantscheffCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8343-8977
Gerard DrewesCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Friedrich B M ReinhardCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.
Wolfgang HuberGenome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0474-2218
Mikhail M SavitskiCellzome, Molecular Discovery Research, GlaxoSmithKline, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The direct detection of drug-protein interactions in living cells is a major challenge in drug discovery research. Recently, we introduced an approach termed thermal proteome profiling (TPP), which enables the monitoring of changes in protein thermal stability across the proteome using quantitative mass spectrometry. We determined the intracellular thermal profiles for up to 7,000 proteins, and by comparing profiles derived from cultured mammalian cells in the presence or absence of a drug we showed that it was possible to identify direct and indirect targets of drugs in living cells in an unbiased manner. Here we demonstrate the complete workflow using the histone deacetylase inhibitor panobinostat. The key to this approach is the use of isobaric tandem mass tag 10-plex (TMT10) reagents to label digested protein samples corresponding to each temperature point in the melting curve so that the samples can be analyzed by multiplexed quantitative mass spectrometry. Important steps in the bioinformatic analysis include data normalization, melting curve fitting and statistical significance determination of compound concentration-dependent changes in protein stability. All analysis tools are made freely available as R and Python packages. The workflow can be completed in 2 weeks.

Indexed as

Mass SpectrometryDrug Delivery SystemsHumansK562 CellsProtein Array AnalysisProtein StabilityProteomeTemperatureProteome

Identifiers

PMID26379230

What OpenQuestion holds

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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.