Evidence map›Paper›PMID 40959229›Full record

ArticleFrontiers in microbiology2025

TIE-UP-SIN: a novel method for enhanced identification of protein-protein interactions.

Maximilian Schedlowski, Stephan Michalik, Tilly Hoffmüller, Marco Harms, Leif Steil, Kristin Surmann, Christian Hentschker, Manuela Gesell Salazar, Uwe Völker, Alexander Reder

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Maximilian SchedlowskiDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Stephan MichalikDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Tilly HoffmüllerDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Marco HarmsDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Leif SteilDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Kristin SurmannDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Christian HentschkerDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Manuela Gesell SalazarDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Uwe VölkerDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Alexander RederDepartment Functional Genomics, Center for Functional Genomics of Microbes, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins function through complex interaction networks that govern nearly all aspects of cellular physiology. Identifying protein-protein interactions (PPIs) under native conditions remains challenging due to the transient nature of many complexes and technical limitations of conventional approaches. We present TIE-UP-SIN (Targeted Interactome Experiment for Unknown Proteins by Stable Isotope Normalization), a robust and reproducible method for

Indexed as

affinity purification-mass spectrometryformaldehyde crosslinkingheavy nitrogen metabolic labelingin vivo crosslinkingmass spectrometryprotein–protein interactions

Identifiers

PMID40959229
PMCPMC12434083

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.