Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Benjamin X. Wang"'
Autor:
Matthew M. Schaefers, Benjamin X. Wang, Nicole M. Boisvert, Sarah J. Martini, Sarah L. Bonney, Christopher W. Marshall, Michael T. Laub, Vaughn S. Cooper, Gregory P. Priebe
Publikováno v:
mBio, Vol 12, Iss 4 (2021)
ABSTRACT Bacteria in the Burkholderia cepacia complex (BCC) are significant pathogens for people with cystic fibrosis (CF) and are often extensively antibiotic resistant. Here, we assess the impacts of clinically observed mutations in fixL, which enc
Externí odkaz:
https://doaj.org/article/88328d92cfad4f739694303eb8e53448
Host-derived O-glycans inhibit toxigenic conversion by a virulence-encoding phage in Vibrio cholerae
Autor:
Benjamin X Wang, Julie Takagi, Abigail McShane, Jin Hwan Park, Kazuhiro Aoki, Catherine Griffin, Jennifer Teschler, Giordan Kitts, Giulietta Minzer, Michael Tiemeyer, Rachel Hevey, Fitnat Yildiz, Katharina Ribbeck
Publikováno v:
The EMBO journalReferences.
Pandemic and endemic strains of Vibrio cholerae arise from toxigenic conversion by the CTXφ bacteriophage, a process by which CTXφ infects nontoxigenic strains of V. cholerae. CTXφ encodes the cholera toxin, an enterotoxin responsible for the wate
Publikováno v:
Current Opinion in Microbiology. 72:102262
Autor:
Ilia K, Domitilla Del Vecchio, Yili Qian, Ron Weiss, Michael T. Laub, Ross D. Jones, Benjamin X. Wang
Publikováno v:
Nature Communications. 13
Rewired and synthetic signaling networks can impart cells with new functionalities and enable efforts in engineering cell therapies and directing cell development. However, there is a need for tools to build synthetic signaling networks that are tuna
Publikováno v:
Prof. Laub
Appl Environ Microbiol
Appl Environ Microbiol
Pseudomonas aeruginosa is an opportunistic pathogen that can cause problematic infections at different sites throughout the human body. P. aeruginosa encodes a large suite of over 60 two-component signaling systems that enable cells to rapidly sense
Autor:
Sarah L. Bonney, Nicole M. Boisvert, Vaughn S. Cooper, Gregory P. Priebe, Christopher W. Marshall, Matthew M. Schaefers, Michael T. Laub, Sarah J. Martini, Benjamin X. Wang
TheBurkholderia cepaciacomplex (BCC) is composed of multiple species, includingB. multivoransandB. dolosa,that are significant pathogens for people with cystic fibrosis (CF) and are extensively resistant to many antibiotics. ThefixLgene of thefixLJ2-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8cc3774d6afcc1979e341915d17287e
Phenazines are a class of redox-active molecules produced by diverse bacteria and archaea. Many of the biological functions of phenazines, such as mediating signaling, iron acquisition, and redox homeostasis, derive from their redox activity. Althoug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::374042a3bae4d0bf46edefc7c99726ee
https://resolver.caltech.edu/CaltechAUTHORS:20170213-091715272
https://resolver.caltech.edu/CaltechAUTHORS:20170213-091715272
Publikováno v:
The Journal of biological chemistry. 292(13)
Phenazines are a class of redox-active molecules produced by diverse bacteria and archaea. Many of the biological functions of phenazines, such as mediating signaling, iron acquisition, and redox homeostasis, derive from their redox activity. Althoug
Autor:
Nathalie Japkowicz, Benjamin X. Wang
Publikováno v:
Knowledge and Information Systems. 25:1-20
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers the number of instances in the other class. Such data sets often cause a
Autor:
Nathalie Japkowicz, Benjamin X. Wang
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540681229
ISMIS
ISMIS
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers the number of instances in the other class. Such data sets often cause a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0fc0c6c0d4174c02379a9640d689668
https://doi.org/10.1007/978-3-540-68123-6_4
https://doi.org/10.1007/978-3-540-68123-6_4