Imperial College London
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Dr Laura Martin-Sancho

Faculty of Medicine, Department of Infectious Disease

Lecturer in Molecular Virology
 
 
 
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Contact

 

+44 (0)20 7594 9032 ext 49032laura.martin-sancho Website

 
 
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Location

 

315Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{May:2022:10.3390/v14030611,
author = {May, DG and Martin-Sancho, L and Anschau, V and Liu, S and Chrisopulos, RJ and Scott, KL and Halfmann, CT and Díaz, Peña R and Pratt, D and Campos, AR and Roux, KJ},
doi = {10.3390/v14030611},
journal = {Viruses},
pages = {611--611},
title = {A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins},
url = {http://dx.doi.org/10.3390/v14030611},
volume = {14},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:p>The novel coronavirus SARS-CoV-2 is responsible for the ongoing COVID-19 pandemic and has caused a major health and economic burden worldwide. Understanding how SARS-CoV-2 viral proteins behave in host cells can reveal underlying mechanisms of pathogenesis and assist in development of antiviral therapies. Here, the cellular impact of expressing SARS-CoV-2 viral proteins was studied by global proteomic analysis, and proximity biotinylation (BioID) was used to map the SARS-CoV-2 virus–host interactome in human lung cancer-derived cells. Functional enrichment analyses revealed previously reported and unreported cellular pathways that are associated with SARS-CoV-2 proteins. We have established a website to host the proteomic data to allow for public access and continued analysis of host–viral protein associations and whole-cell proteomes of cells expressing the viral–BioID fusion proteins. Furthermore, we identified 66 high-confidence interactions by comparing this study with previous reports, providing a strong foundation for future follow-up studies. Finally, we cross-referenced candidate interactors with the CLUE drug library to identify potential therapeutics for drug-repurposing efforts. Collectively, these studies provide a valuable resource to uncover novel SARS-CoV-2 biology and inform development of antivirals.</jats:p>
AU  - May,DG
AU  - Martin-Sancho,L
AU  - Anschau,V
AU  - Liu,S
AU  - Chrisopulos,RJ
AU  - Scott,KL
AU  - Halfmann,CT
AU  - Díaz,Peña R
AU  - Pratt,D
AU  - Campos,AR
AU  - Roux,KJ
DO  - 10.3390/v14030611
EP  - 611
PY  - 2022///
SP  - 611
TI  - A BioID-Derived Proximity Interactome for SARS-CoV-2 Proteins
T2  - Viruses
UR  - http://dx.doi.org/10.3390/v14030611
VL  - 14
ER  -
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