User profiles for Andrew M. Hogan
Andrew Michael HoganPostdoctoral Researcher Verified email at embl.de Cited by 227 |
Gradients in gene essentiality reshape antibacterial research
AM Hogan, ST Cardona - FEMS Microbiology Reviews, 2022 - academic.oup.com
Essential genes encode the processes that are necessary for life. Until recently, commonly
applied binary classifications left no space between essential and non-essential genes. In …
applied binary classifications left no space between essential and non-essential genes. In …
A Broad-Host-Range CRISPRi Toolkit for Silencing Gene Expression in Burkholderia
AM Hogan, ASMZ Rahman, TJ Lightly… - ACS Synthetic …, 2019 - ACS Publications
Genetic tools are critical to dissecting the mechanisms governing cellular processes, from
fundamental physiology to pathogenesis. Members of the genus Burkholderia have potential …
fundamental physiology to pathogenesis. Members of the genus Burkholderia have potential …
Essential two-component systems regulating cell envelope functions: opportunities for novel antibiotic therapies
ST Cardona, M Choy, AM Hogan - The Journal of Membrane Biology, 2018 - Springer
Novel therapies are urgently needed to alleviate the current crisis of multiple drug-resistant
infections. The bacterial signal transduction mechanisms, known as two-component systems (…
infections. The bacterial signal transduction mechanisms, known as two-component systems (…
[HTML][HTML] Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles
Motivation Chemical–genetic interaction profiling is a genetic approach that quantifies the
susceptibility of a set of mutants depleted in specific gene product(s) to a set of chemical …
susceptibility of a set of mutants depleted in specific gene product(s) to a set of chemical …
[HTML][HTML] Profiling cell envelope-antibiotic interactions reveals vulnerabilities to β-lactams in a multidrug-resistant bacterium
The cell envelope of Gram-negative bacteria belonging to the Burkholderia cepacia complex
(Bcc) presents unique restrictions to antibiotic penetration. As a consequence, Bcc species …
(Bcc) presents unique restrictions to antibiotic penetration. As a consequence, Bcc species …
Competitive fitness of essential gene knockdowns reveals a broad-spectrum antibacterial inhibitor of the cell division protein FtsZ
To streamline the elucidation of antibacterial compounds’ mechanism of action, comprehensive
high-throughput assays interrogating multiple putative targets are necessary. However, …
high-throughput assays interrogating multiple putative targets are necessary. However, …
Dynamic regulation of CD 24 expression and release of CD 24‐containing microvesicles in immature B cells in response to CD 24 engagement
…, M Elstner, NC Smith, ES Moores, AM Hogan… - …, 2015 - Wiley Online Library
The glycophosphatidylinositol‐anchored cell surface receptor CD 24 (also called heat‐stable
antigen) promotes the apoptosis of progenitor and precursor B‐lymphocytes. However, the …
antigen) promotes the apoptosis of progenitor and precursor B‐lymphocytes. However, the …
Synthesis and antibiotic activity of novel acylated phloroglucinol compounds against methicillin-resistant Staphylococcus aureus
N Mittal, HH Tesfu, AM Hogan, ST Cardona… - The Journal of …, 2019 - nature.com
The rise in antibiotic resistance among pathogenic microorganisms has created an imbalance
in the drugs available for treatment, in part due to the slow development of new antibiotics. …
in the drugs available for treatment, in part due to the slow development of new antibiotics. …
Improved Dynamic Range of a Rhamnose-Inducible Promoter for Gene Expression in Burkholderia spp.
AM Hogan, KR Jeffers, A Palacios… - Applied and …, 2021 - Am Soc Microbiol
A diverse genetic toolkit is critical for understanding bacterial physiology and genotype-phenotype
relationships. Inducible promoter systems are an integral part of this toolkit. In …
relationships. Inducible promoter systems are an integral part of this toolkit. In …
[HTML][HTML] A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery
…, C Liu, H Sturm, AM Hogan… - PLOS Computational …, 2022 - journals.plos.org
Screening for novel antibacterial compounds in small molecule libraries has a low success
rate. We applied machine learning (ML)-based virtual screening for antibacterial activity and …
rate. We applied machine learning (ML)-based virtual screening for antibacterial activity and …