Evidence map›Paper›PMID 42539280›Full record

ArticlebioRxiv : the preprint server for biology2026

Detergent selection as a determinant of protein melting behavior and drug-target interaction-calling in thermal stability proteomics.

Catherine Sniezek, Veronika A Glukhova, Christian Schmitz, Katarina Vlajic, Devin K Schweppe

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Catherine SniezekDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.ORCID 0009-0006-1134-2745
Veronika A GlukhovaDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.ORCID 0000-0001-7611-5419
Christian SchmitzDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.
Katarina VlajicDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.ORCID 0000-0002-4859-4974
Devin K SchweppeDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.ORCID 0000-0002-3241-6276

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Technology for evaluating drug-binding responses to small-molecule perturbationR35GM150919 · NIGMS · UNIVERSITY OF WASHINGTON · PI Devin Karl Schweppe · 2023 to 2026
$1.6M
NCI NIH HHS P30 CA015704NIGMS NIH HHS R35 GM150919
6 · The paper itself

Abstract

Thermal proteome profiling (TPP) and proteome integral solubility alteration (PISA) assays measure drug-target interactions by monitoring protein thermal stability across the proteome. While detergents are routinely used in lysate-based thermal profiling, the field lacks consensus on whether detergents should be present during the melting step or only added afterward as an extraction buffer, and whether detergent identity matters for this choice. Here, we evaluate how commonly used detergents and the timing of their use in thermal stability workflows affect proteome-wide thermal stability and PISA hit calling in TF-1 lysates. We find that NP-40 and DDM produce highly correlated melting profiles when used exclusively as post-melt extraction buffers, but diverge substantially when present during the melting step. DDM in particular prevents the thermally-induced loss in solubility of large classes of proteins, such as cell surface proteins, and these effects propagate directly into PISA hit calling. Performing the PISA melt in DDM versus NP-40 results in the gain and loss of distinct drug-target interactions for both the PAK4 inhibitor PF-3758309 and the PLK1 inhibitor volasertib. Notably, DDM enables detection of a volasertib-TMEM97 interaction that was previously not detected in NP-40. However, we also find that the stabilization effects of DDM mask the identification of some known PISA hits for these drugs. We further introduce a four-parameter logistic model of protein melting to aid in modeling of these findings and a linear regression framework for PISA hit calling that outperforms pairwise t-tests in low-replicate settings. Together, these results establish detergent selection as a tunable experimental variable in thermal profiling and suggest that some drug-target engagements previously attributed exclusively to intact-cell context may be recoverable in lysates with appropriate buffer conditions.

Identifiers

PMID42539280
PMCPMC13419837

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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.