Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 66,889 bioRxiv papers from 294,495 authors.
Maximizing binary interactome mapping with a minimal number of assays
Soon Gang Choi,
Mélanie Dos Santos,
Eloi P Coutant,
Yves L. Janin,
Sylvie van der Werf,
Erich E. Wanker,
Javier De Las Rivas,
David E. Hill,
Michael A. Calderwood,
Posted 26 Jan 2019
bioRxiv DOI: 10.1101/530790 (published DOI: 10.1038/s41467-019-11809-2)
Posted 26 Jan 2019
Complementary assays are required to comprehensively map complex biological entities such as genomes, proteomes and interactome networks. However, how various assays can be optimally combined to approach completeness while maintaining high precision often remains unclear. Here, we propose a framework for binary protein-protein interaction (PPI) mapping based on optimally combining assays and/or assay versions to maximize detection of true positive interactions, while avoiding detection of random protein pairs. We have engineered a novel NanoLuc two-hybrid (N2H) system that integrates 12 different versions, differing by protein expression systems and tagging configurations. The resulting union of N2H versions recovers as many PPIs as 10 distinct assays combined. Thus, to further improve PPI mapping, developing alternative versions of existing assays might be as productive as designing completely new assays. Our findings should be applicable to systematic mapping of other biological landscapes.
- Downloaded 666 times
- Download rankings, all-time:
- Site-wide: 14,203 out of 66,916
- In systems biology: 413 out of 1,859
- Year to date:
- Site-wide: 3,886 out of 66,916
- Since beginning of last month:
- Site-wide: 30,412 out of 66,916
Downloads over time
Distribution of downloads per paper, site-wide
- Top preprints of 2018
- Paper search
- Author leaderboards
- Overall metrics
- The API
- Email newsletter
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!