Evidence map›Paper›PMID 24833512›Full record

ArticleBiology2014

On-beads digestion in conjunction with data-dependent mass spectrometry: a shortcut to quantitative and dynamic interaction proteomics.

Benedetta Turriziani, Amaya Garcia-Munoz, Ruth Pilkington, Cinzia Raso, Walter Kolch, Alexander von Kriegsheim

Abstract read
In one paragraph

Article in Biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

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  11. Hyperosmolarity-induced suppression of group B1 Raf-like protein kinases modulates drought-growth trade-off inProceedings of the National Academy of Sciences of the United States of America · 2024
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  15. Hypoxia induces a glycolytic complex in intestinal epithelial cells independent of HIF-1-driven glycolytic gene expression.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
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  18. Article
  19. Review
  20. Article

25 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

6 authors.

Benedetta TurrizianiSystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland. benedetta.turriziani@ucdconnect.ie.
Amaya Garcia-MunozSystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland. amaya.garciamunoz@ucd.ie.
Ruth PilkingtonSystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland. ruth.pilkington@ucd.ie.
Cinzia RasoSystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland. cinzia.raso@ucd.ie.
Walter KolchSystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland. walter.kolch@ucd.ie.
Alexander von KriegsheimSystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland. alex.vonkriegsheim@ucd.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of the "-omics" era, biological research has shifted from functionally analyzing single proteins to understanding how entire protein networks connect and adapt to environmental cues. Frequently, pathological processes are initiated by a malfunctioning protein network rather than a single protein. It is therefore crucial to investigate the regulation of proteins in the context of a pathway first and signaling network second. In this study, we demonstrate that a quantitative interaction proteomic approach, combining immunoprecipitation, in-solution digestion and label-free quantification mass spectrometry, provides data of high accuracy and depth. This protocol is applicable, both to tagged, exogenous and untagged, endogenous proteins. Furthermore, it is fast, reliable and, due to a label-free quantitation approach, allows the comparison of multiple conditions. We further show that we are able to generate data in a medium throughput fashion and that we can quantify dynamic interaction changes in signaling pathways in response to mitogenic stimuli, making our approach a suitable method to generate data for system biology approaches.

Identifiers

PMID24833512
PMCPMC4085610

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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.