Title |
An Mtb-Human Protein-Protein Interaction Map Identifies a Switch between Host Antiviral and Antibacterial Responses
|
---|---|
Published in |
Molecular Cell, August 2018
|
DOI | 10.1016/j.molcel.2018.07.010 |
Pubmed ID | |
Authors |
Bennett H. Penn, Zoe Netter, Jeffrey R. Johnson, John Von Dollen, Gwendolyn M. Jang, Tasha Johnson, Yamini M. Ohol, Cyrus Maher, Samantha L. Bell, Kristina Geiger, Guillaume Golovkine, Xiaotang Du, Alex Choi, Trevor Parry, Bhopal C. Mohapatra, Matthew D. Storck, Hamid Band, Chen Chen, Stefanie Jäger, Michael Shales, Dan A. Portnoy, Ryan Hernandez, Laurent Coscoy, Jeffery S. Cox, Nevan J. Krogan |
Abstract |
Although macrophages are armed with potent antibacterial functions, Mycobacterium tuberculosis (Mtb) replicates inside these innate immune cells. Determinants of macrophage intrinsic bacterial control, and the Mtb strategies to overcome them, are poorly understood. To further study these processes, we used an affinity tag purification mass spectrometry (AP-MS) approach to identify 187 Mtb-human protein-protein interactions (PPIs) involving 34 secreted Mtb proteins. This interaction map revealed two factors involved in Mtb pathogenesis-the secreted Mtb protein, LpqN, and its binding partner, the human ubiquitin ligase CBL. We discovered that an lpqN Mtb mutant is attenuated in macrophages, but growth is restored when CBL is removed. Conversely, Cbl-/- macrophages are resistant to viral infection, indicating that CBL regulates cell-intrinsic polarization between antibacterial and antiviral immunity. Collectively, these findings illustrate the utility of this Mtb-human PPI map for developing a deeper understanding of the intricate interactions between Mtb and its host. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 25% |
South Africa | 2 | 10% |
United Kingdom | 2 | 10% |
Cameroon | 1 | 5% |
Japan | 1 | 5% |
Italy | 1 | 5% |
France | 1 | 5% |
Denmark | 1 | 5% |
Unknown | 6 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 60% |
Scientists | 7 | 35% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 164 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 21% |
Researcher | 26 | 16% |
Student > Doctoral Student | 18 | 11% |
Student > Bachelor | 16 | 10% |
Student > Master | 14 | 9% |
Other | 21 | 13% |
Unknown | 34 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 44 | 27% |
Immunology and Microbiology | 33 | 20% |
Agricultural and Biological Sciences | 21 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
Chemistry | 6 | 4% |
Other | 10 | 6% |
Unknown | 44 | 27% |