High-Content Screening and Computational Prediction Reveal Viral Genes That Suppress the Innate Immune Response.
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| Title: | High-Content Screening and Computational Prediction Reveal Viral Genes That Suppress the Innate Immune Response. |
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| Authors: | Ng TL; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Olson EJ; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Yoo TY; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA., Weiss HS; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Koide Y; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Koch PD; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Rollins NJ; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA., Mach P; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Meisinger T; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA., Bricken T; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA., Chang TZ; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Molloy C; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Zürcher J; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA., Chang RL; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA., Mitchison TJ; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA., Glass JI; J. Craig Venter Institutegrid.469946.0, La Jolla, California, USA., Marks DS; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA., Way JC; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA.; Laboratory of Systems Pharmacology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA., Silver PA; Department of Systems Biology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA.; Wyss Institute for Biologically Inspired Engineering, Harvard Universitygrid.38142.3c, Boston, Massachusetts, USA.; Laboratory of Systems Pharmacology, Harvard Medical Schoolgrid.471403.5, Boston, Massachusetts, USA. |
| Source: | MSystems [mSystems] 2022 Apr 26; Vol. 7 (2), pp. e0146621. Date of Electronic Publication: 2022 Mar 23. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: American Society for Microbiology Country of Publication: United States NLM ID: 101680636 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2379-5077 (Print) Linking ISSN: 23795077 NLM ISO Abbreviation: mSystems |
| Database: | MEDLINE Ultimate |
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