Bacterial cytological profiling reveals interactions between jumbo phage φKZ infection and cell wall active antibiotics in Pseudomonas aeruginosa.

Autor: Hannah Tsunemoto, Joseph Sugie, Eray Enustun, Kit Pogliano, Joe Pogliano

Publikováno v: PLoS ONE, Vol 18, Iss 7, p e0280070 (2023)

The emergence of antibiotic resistance in bacteria has led to the investigation of alternative treatments, such as phage therapy. In this study, we examined the interactions between the nucleus-forming jumbo phage ФKZ and antibiotic treatment agains

Externí odkaz: https://doaj.org/article/8ef4fd6c9ecf416f90de66051a66cab2

Asymmetric localization of the cell division machinery during Bacillus subtilis sporulation

Autor: Kanika Khanna, Javier Lopez-Garrido, Joseph Sugie, Kit Pogliano, Elizabeth Villa

Publikováno v: eLife, Vol 10 (2021)

The Gram-positive bacterium Bacillus subtilis can divide via two modes. During vegetative growth, the division septum is formed at the midcell to produce two equal daughter cells. However, during sporulation, the division septum is formed closer to o

Externí odkaz: https://doaj.org/article/ad4a27e779a744568331f008f45cf027

The molecular architecture of engulfment during Bacillus subtilis sporulation

Autor: Kanika Khanna, Javier Lopez-Garrido, Ziyi Zhao, Reika Watanabe, Yuan Yuan, Joseph Sugie, Kit Pogliano, Elizabeth Villa

Publikováno v: eLife, Vol 8 (2019)

The study of bacterial cell biology is limited by difficulties in visualizing cellular structures at high spatial resolution within their native milieu. Here, we visualize Bacillus subtilis sporulation using cryo-electron tomography coupled with cryo

Externí odkaz: https://doaj.org/article/56d2c41b0fad498fa79b18682d93915d

Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators

Autor: Akanksha Rajput, Hannah Tsunemoto, Anand V Sastry, Richard Szubin, Kevin Rychel, Joseph Sugie, Joe Pogliano, Bernhard O Palsson

Publikováno v: Rajput, A, Tsunemoto, H, Sastry, A V, Szubin, R, Rychel, K, Sugie, J, Pogliano, J & Palsson, B O 2022, ' Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators ', Nucleic Acids Research, vol. 50, no. 7, pp. 3658-3672 . https://doi.org/10.1093/nar/gkac187
Nucleic acids research, vol 50, iss 7

The transcriptional regulatory network (TRN) of Pseudomonas aeruginosa coordinates cellular processes in response to stimuli. We used 364 transcriptomes (281 publicly available + 83 in-house generated) to reconstruct the TRN of P. aeruginosa using in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0393eb3a9d40f50367ae0cfe76df1338
https://orbit.dtu.dk/en/publications/bbe33946-3324-49b6-abdb-2982c2ea4607

Machine Learning of Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators

Autor: Akanksha Rajput, Richard Szubin, Hannah Tsunemoto, Kevin Rychel, Joe Pogliano, Anand V. Sastry, Joseph Sugie, Bernhard O. Palsson

The transcriptional regulatory network (TRN) of Pseudomonas aeruginosa plays a critical role in coordinating numerous cellular processes. We extracted and quality controlled all publicly available RNA-sequencing datasets for P. aeruginosa to find 281

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::655292c68c3837b9562899adde3fd395
https://doi.org/10.1101/2021.07.28.454220