Evidence map›Paper›PMID 40331427›Full record

ArticleSmall methods2026

Native Taylor/Non-Taylor Dispersion-Mass Spectrometry (TNT-MS) Allows Rapid Protein Desalting and Multiplexed, Label-Free Ligand Screening.

Jonathan Eisert, Edvaldo Vasconcelos Soares Maciel, Verena Dederer, Aylin Berwanger, Henry J Bailey, Ivan Đikić, Stefan Knapp, Martin Empting, Sebastian Mathea, Henrik Jensen and 1 more

Abstract read
In one paragraph

Article in Small methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Jonathan EisertDepartment of Chemistry, Clemens-Schöpf-Institute of Chemistry and Biochemistry, Technical University of Darmstadt, Peter-Grünberg-Strasse 4, 64287, Darmstadt, Germany.
Edvaldo Vasconcelos Soares MacielDepartment of Chemistry, Clemens-Schöpf-Institute of Chemistry and Biochemistry, Technical University of Darmstadt, Peter-Grünberg-Strasse 4, 64287, Darmstadt, Germany.
Verena DedererInstitute of Pharmaceutical Chemistry, Goethe University, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany.
Aylin BerwangerHelmholtz Institut for Pharmaceutical Research Saarland (HIPS)/Helmholtz Center for Infection Research (HZI), Campus E8.1, 66123, Saarbrücken, Germany.
Henry J BaileyInstitute of Biochemistry II, Medical Faculty, Goethe-University, Frankfurt am Main and Buchmann Institute for Molecular Life Sciences, 60438, Frankfurt am Main, Germany.
Ivan ĐikićInstitute of Biochemistry II, Medical Faculty, Goethe-University, Frankfurt am Main and Buchmann Institute for Molecular Life Sciences, 60438, Frankfurt am Main, Germany.
Stefan KnappInstitute of Pharmaceutical Chemistry, Goethe University, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany.
Martin EmptingHelmholtz Institut for Pharmaceutical Research Saarland (HIPS)/Helmholtz Center for Infection Research (HZI), Campus E8.1, 66123, Saarbrücken, Germany.
Sebastian MatheaInstitute of Pharmaceutical Chemistry, Goethe University, Max-von-Laue-Str. 9, 60438, Frankfurt am Main, Germany.
Henrik JensenFida Biosystems Aps, Generatorvej 6, Soborg, 2860, Denmark.
Frederik LermyteDepartment of Chemistry, Clemens-Schöpf-Institute of Chemistry and Biochemistry, Technical University of Darmstadt, Peter-Grünberg-Strasse 4, 64287, Darmstadt, Germany.ORCID https://orcid.org/0000-0001-7371-4475

Funding

Alexander von Humboldt-Stiftung ForschungsstipendiumBayer AG, Boehringer Ingelheim, Bristol Myers Squibb, GenentechBundesministerium für Bildung und Forschung 03ZU1109FADeutsche Forschungsgemeinschaft 461372424Deutsche Forschungsgemeinschaft 524226614Deutsche Krebshilfe TACTICFonds der Chemischen IndustrieGenome Canada through Ontario Genomics Institute OGI-196Hessisches Ministerium für Wissenschaft und Kunst LOEWEHessisches Ministerium für Wissenschaft und Kunst SchwerpunktHessisches Ministerium für Wissenschaft und Kunst TRABITAInnovative Medicines Initiative 2 Joint Undertaking 875510Structural Genomics Consortium 1097737
6 · The paper itself

Abstract

Native mass spectrometry (MS) is an important technique in structural biology and drug discovery, due to its ability to study non-covalent assemblies in the gas phase. Drawbacks include the incompatibility of electrospray ionization (ESI) with non-volatile salts and the risk of protein signal suppression by small molecules. Overcoming these often requires offline buffer exchange and/or parallel sample preparation to other methods, reducing the adoption and throughput of native MS. Here, we exploit the dynamics of analytes flowing through an open tubular capillary to keep molecules with a small hydrodynamic radius (e.g., salts) inside a Taylor dispersion regime while pushing larger species (e.g., proteins) into a non-Taylor regime. As such, larger species elute earlier, and are effectively buffer exchanged within the capillary in seconds. In addition to desalting of proteins injected in biologically relevant buffers we demonstrate separation of unbound small molecules from protein-ligand complexes, enabling multiplexed ligand screening. Finally, we investigated the dependence of the critical flow rate for non-Taylor behavior on protein size, enabling limited size-based separation of proteins. Taylor/non-Taylor dispersion mass spectrometry (TNT-MS) was implemented using an unmodified liquid chromatography - mass spectrometry (LC-MS) system operated without a chromatographic column and coupled to an autosampler, which allowed significant automation.

Indexed as

Mass SpectrometryProteinsLigandsLigandsProteinsligand screeningmass spectrometrynative mass spectrometryproteomicsTaylor dispersion

Identifiers

PMID40331427
PMCPMC12825326

What OpenQuestion holds

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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.