Author

K. Goldlust

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 3 Assay:imaging· 2 Approach:microscopy & imaging analysis· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1

Frequent Co-Authors

C. Lesterlin· 2 shared A. Berne-Dedieu· 1 shared A. Couturier· 1 shared A. Dedieu-Berne· 1 shared A. Ducret· 1 shared A. Le Gall· 1 shared A. Reuter· 1 shared C. Virolle· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersMicrobiology

C. Lesterlin

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The F pilus serves as a conduit for the DNA during conjugation between physically distant bacteria

K. Goldlust, A. Ducret, M. Halte, A. Dedieu-Berne, M. Erhardt, C. Lesterlin

The study shows the F pilus acts as a DNA conduit during conjugation between distant bacteria, proposing a new model for DNA transfer.

bioRxiv · Jun 21, 2023Microbiology

Real-time visualisation of conjugation reveals the molecular strategy evolved by the conjugative F plasmid to ensure the sequential production of plasmid factors during establishment in the new host cell

A. Couturier, C. Virolle, K. goldlust, A. Berne-Dedieu, A. Reuter, S. Nolivos, Y. Yamaichi, S. Bigot, C. Lesterlin

The paper uses live-cell microscopy to study conjugation dynamics, revealing that ssDNA plasmid entry and ss-to-dsDNA conversion control sequential gene expression in bacterial plasmids.

bioRxiv · Sep 6, 2022 · PreprintMicrobiology

MiSiC, a general deep learning-based method for the high-throughput cell segmentation of complex bacterial communities

S. Panigrahi, D. Murat, A. Le Gall, E. Martineau, K. Goldlust, J.-B. Fiche, S. Rombouts, M. Nollmann, L. Espinosa, T. Mignot

MiSiC is a deep learning method for segmenting bacterial cells in complex communities, enabling analysis of interspecies interactions with minimal parameter adjustment.

bioRxiv · Oct 7, 2020Microbiology