Evidence map›Paper›PMID 20479470›Full record

ArticleThe Journal of cell biology2010

Quantitative proteomics combined with BAC TransgeneOmics reveals in vivo protein interactions.

Nina C Hubner, Alexander W Bird, Jürgen Cox, Bianca Splettstoesser, Peter Bandilla, Ina Poser, Anthony Hyman, Matthias Mann

Abstract read
In one paragraph

Article in The Journal of cell biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 254 papers.

0numbers the graph read from it
0cells of the map it votes in
254citing 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

254 citing papers in PubMed.

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  10. Locking CBL TKBD in its native conformation presents a novel therapeutic opportunity in mutant CBL-dependent leukemia.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
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  15. Cell-cell transfer of adaptation traits benefits kin and actor in a cooperative microbe.Proceedings of the National Academy of Sciences of the United States of America · 2024
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194 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

8 authors.

Nina C HubnerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany.
Alexander W Bird
Jürgen Cox
Bianca Splettstoesser
Peter Bandilla
Ina Poser
Anthony Hyman
Matthias Mann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein interactions are involved in all cellular processes. Their efficient and reliable characterization is therefore essential for understanding biological mechanisms. In this study, we show that combining bacterial artificial chromosome (BAC) TransgeneOmics with quantitative interaction proteomics, which we call quantitative BAC-green fluorescent protein interactomics (QUBIC), allows specific and highly sensitive detection of interactions using rapid, generic, and quantitative procedures with minimal material. We applied this approach to identify known and novel components of well-studied complexes such as the anaphase-promoting complex. Furthermore, we demonstrate second generation interaction proteomics by incorporating directed mutational transgene modification and drug perturbation into QUBIC. These methods identified domain/isoform-specific interactors of pericentrin- and phosphorylation-specific interactors of TACC3, which are necessary for its recruitment to mitotic spindles. The scalability, simplicity, cost effectiveness, and sensitivity of this method provide a basis for its general use in small-scale experiments and in mapping the human protein interactome.

Indexed as

TransgenesAntigensChromosomes, Artificial, BacterialFluorescent Antibody TechniqueGenomicsHumansModels, BiologicalPhosphorylationProtein Interaction MappingProteomicsAntigenspericentrin

Identifiers

PMID20479470
PMCPMC2872919

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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.