2015
DOI: 10.1016/j.mimet.2014.12.017
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Quantification of filamentation by uropathogenic Escherichia coli during experimental bladder cell infection by using semi-automated image analysis

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Cited by 28 publications
(30 citation statements)
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“…Induction of UPEC filamentation via transient DamX overproduction from plasmid pSKdamX occurred only when seeded on a solid surface, thus implying a role for surface sensing and possibly fluid flow, irrespective of whether that surface is biotic (bladder epithelial cells) or abiotic (glass). This dependency of UPEC filamentation on surface growth has been confirmed in other recent studies of UTI89 grown in flow chambers ( 22 , 23 ), implying that the process of filamentation does not restrict itself exclusively to the UPEC infection cascade.…”
Section: Discussionsupporting
confidence: 79%
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“…Induction of UPEC filamentation via transient DamX overproduction from plasmid pSKdamX occurred only when seeded on a solid surface, thus implying a role for surface sensing and possibly fluid flow, irrespective of whether that surface is biotic (bladder epithelial cells) or abiotic (glass). This dependency of UPEC filamentation on surface growth has been confirmed in other recent studies of UTI89 grown in flow chambers ( 22 , 23 ), implying that the process of filamentation does not restrict itself exclusively to the UPEC infection cascade.…”
Section: Discussionsupporting
confidence: 79%
“…While some studies have aimed at identifying genes involved in bacterial filamentation ( 13 , 19 21 ), this study is the first to systematically analyze the UPEC gene expression profiles at each individual phase of its pathogenesis, with the aim of identifying genes that are critical to its morphological differentiation. Using microarray technology and a previously described ( 22 ) flow chamber-based bladder cell infection model, this study not only reaffirms recent reports regarding the importance of a contact surface and fluid flow in UPEC filamentation ( 23 ) but also identifies DamX as a key factor that controls reversible switching between normal rod-shaped and filamentous morphology during infection. While previous studies have linked UPEC filamentation with the SOS response and SulA ( 9 , 12 , 20 ), our present study identifies transient DamX overproduction as a key inducer of filamentation during this cycle.…”
Section: Introductionsupporting
confidence: 86%
“…The physiological role of this chromosomally encoded toxin family remains unknown, as do the molecular interactions with its target. A change in cell morphology has been previously characterized as a survival mechanism of E. coli present in urinary tract infections (French, Cote, Stokes, Truant, & Brown, ; Justice, Hunstad, Cegelski, & Hultgren, ; Klein, Palarasah, Kolmos, Moller‐Jensen, & Andersen, ), and CIP‐induced filaments were found to give rise to antibiotic‐resistant populations (Bos et al, ). This survival mechanism is linked to pathway activation in response to DNA breaks, thus promoting error‐prone repair and driving evolution (Recacha et al, ; Torres‐Barcelo et al, ; Valencia, Esposito, Spira, Blazquez, & Galhardo, ).…”
Section: Discussionmentioning
confidence: 99%
“…The drawback is that HTB9 is relatively fragile under high flow conditions and thus requires fixation to be used in the current assay. If live cells are needed to further study UPEC-uroepithelium interactions, the PD07i cell line (Klumpp et al, 2001 ) can be used in flow assays without fixation, as it is more flow resistant (Andersen et al, 2012 ) and stays confluent after prolonged infection experiments in urine flow (Klein et al, 2015 ). PD07i is however a relatively undifferentiated cell more resembling the underlying urothelial cells in the stratified bladder mucosa and, probably for this reason, is less supportive of UPEC adhesion/invasion (own unpublished data).…”
Section: Discussionmentioning
confidence: 99%
“…However, this requires termination of a rather laborious experiment, leaving only a single data point measured per chamber. Furthermore, CFU enumeration of bacteria exposed to in vivo -like stress conditions can be tricky, since bacteria may change morphology, i.e., become filamentous (Klein et al, 2015 ; Khandige et al, 2016 ), or aggregate (Loof et al, 2015 ; Grønnemose et al, 2017 ; Sønderholm et al, 2017 ), or slow down growth speed (Proctor et al, 2006 ), which may affect the accuracy of bacterial quantification by traditional plating techniques.…”
Section: Introductionmentioning
confidence: 99%