2019
DOI: 10.1128/mbio.01193-19
|View full text |Cite
|
Sign up to set email alerts
|

Determination of an Interaction Network between an Extracellular Bacterial Pathogen and the Human Host

Abstract: A major gap in understanding infectious diseases is the lack of information about molecular interaction networks between pathogens and the human host. Haemophilus ducreyi causes the genital ulcer disease chancroid in adults and is a leading cause of cutaneous ulcers in children in the tropics. We developed a model in which human volunteers are infected on the upper arm with H. ducreyi until they develop pustules. To define the H. ducreyi and human interactome, we determined bacterial and host transcriptomic an… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
30
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 27 publications
(31 citation statements)
references
References 76 publications
(82 reference statements)
1
30
0
Order By: Relevance
“…Knowledge of those genes activated specifically within host tissues allows insight into the genetic determinants of in vivo colonization and pathogenicity. An often used strategy involves transcriptional analysis of pathogen gene expression (transcriptomics) based on patterns of mRNA transcript abundance during infection ( Deng et al 2018 ; Valenzuela-Miranda and Gallardo-Escárate 2018 ; Nobori et al 2018 ; Arenas et al 2019 ; Griesenauer et al 2019 ; Haueisen et al 2019 ; Ibberson and Whiteley 2019 ; Sun et al 2019 ; Tang et al 2019 ; Fan et al 2020 ; Luo et al 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…Knowledge of those genes activated specifically within host tissues allows insight into the genetic determinants of in vivo colonization and pathogenicity. An often used strategy involves transcriptional analysis of pathogen gene expression (transcriptomics) based on patterns of mRNA transcript abundance during infection ( Deng et al 2018 ; Valenzuela-Miranda and Gallardo-Escárate 2018 ; Nobori et al 2018 ; Arenas et al 2019 ; Griesenauer et al 2019 ; Haueisen et al 2019 ; Ibberson and Whiteley 2019 ; Sun et al 2019 ; Tang et al 2019 ; Fan et al 2020 ; Luo et al 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…There are many real bipartite networks such as actor-movie network [35] which illustrates the movies and the actors playing in them, author-article network [36] which shows the articles and theirs authors, gene-disease network [37][38][39][40][41][42][43] which reveals diseases and their targeted genes, metabolite-enzyme network [44][45][46] which shows metabolites and their corresponding enzymes, and host-pathogen PPI network such as fungal pathogen scedosporium aurantiacum with human long epithelial cells [47], Leptospira interrogans and Homo sapiens [48], extracellular bacterial pathogen and human host [49], zika virus non-structural proteins and human host proteins [50], bacterial and fungal pathogens and maize stalks host [51].…”
Section: Preliminaries and Definitionsmentioning
confidence: 99%
“…The results provided evidence for a key role of host glucose homeostasis in vivo during animal infection, and it was proposed that a glucoserich diet improved host outcomes in Candida infection. In a recent study, ulcer-associated pathogen Haemophilus ducreyi was investigated in detail by collecting dual transcriptomic and host metabolomic data from infected human tissue (Griesenauer et al, 2019). The results suggest the consumption of ascorbic acid and adaptation of anaerobic metabolism as survival mechanisms by the pathogen in glucose-poor abscess environment.…”
Section: Metabolism-oriented Dual Omics Of Pathogen-host Interactionsmentioning
confidence: 99%