Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of mouse lung following in-vivo intrapulmonary administration of LTK63, a non-toxic mutant of E. coli heat labile enterotoxin

ABSTRACT: Analysis of whole mouse lung gene expression signature induced by in-vivo intrapulmonary administration of LTK63. LTK63, a non-toxic mutant of E. coli heat labile enterotoxin (LT), is a potent and safe mucosal adjuvant, which has also been shown to confer generic protection to several respiratory pathogen.

ORGANISM(S): Mus musculus

SUBMITTER: Elaine Tritto

PROVIDER: E-TABM-303 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

The acquired immune response to the mucosal adjuvant LTK63 imprints the mouse lung with a protective signature.

Tritto Elaine E Muzzi Alessandro A Pesce Isabella I Monaci Elisabetta E Nuti Sandra S Galli Grazia G Wack Andreas A Rappuoli Rino R Hussell Tracy T De Gregorio Ennio E

Journal of immunology (Baltimore, Md. : 1950) 20071001 8

LTK63, a nontoxic mutant of Escherichia coli heat labile enterotoxin (LT), is a potent and safe mucosal adjuvant that has also been shown to confer generic protection to several respiratory pathogens. To understand the mechanisms of action underlying the LTK63 protective effect, we analyzed the molecular and cellular events triggered by its administration in vivo. We show here that LTK63 intrapulmonary administration induced in the mouse lung a specific gene expression signature characterized by ...[more]

PMID: 17911621

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Project description:Staphylococcus Enterotoxin B (SEB) is an exotoxin produced by Staphylococcus aureus. It is a public health threat during nosocomial infections. It is also considered as a biological weapon. The Centers for Disease Control and Prevention (CDC) lists SEB as a category B agent of Biodefence. SEB is easily aerosolized and can enter the host through inhalation which could lead to Acute Lung Injury (ALI) and in severe cases, it may result in multiple organ failure, shock and death. It is considered to be a Super-antigen as it activates a large number (30%) of T cells and results in the production of cytokines SEB binds directly to the non polymorphic region of MHC Class II which is expressed on antigen presenting cells and this complex activates T cells expressing a specific variable region of the β chain (Vβ8) of the T cell receptor (TCR). Thus, inhalation of SEB leads to recruitment of immune cells into the lung and secretion of pro-inflammatory cytokines which results in severe damage to the lung by increasing the permeability, and induction of respiratory failure. MicroRNA (miRNAs) is considered one of the mechanisms by which the epigenetic regulation happens. MicroRNA are noncoding small RNAs that have recently been shown to play a role in gene expression. The action of miRNA is dependent on its binding to 3’ Untranslated Region (3’UTR) of mRNA resulting in transcriptional or translational repression. Specifically, the efficacy of gene silencing is determined by the interaction of miRNA seed sequence with the target mRNA. Endocannabinoids are lipid molecules produced endogenously by host cells and bind to cannabinoid receptors, CB1 and CB2. N-Arachidonoylethanolamide or anandamide (AEA) is an endocannabinoid that has been shown to have immunomodulatory effects by our lab and others, although the precise mechanism is not clear. So far through my research, I found that Endocannabinoid is involved in a very unique way in the anti-inflammatory response through upregulation of many anti-inflammatory genes such as FOXP3, ARG1, and IL-10 that targeted by miRNA23a-3p and miRNA 34a-5p as well as the anti-inflammatory phenotype population as it show in the RT-PCR and flow cytometry results.

Dataset Information

Transcription profiling of mouse lung following in-vivo intrapulmonary administration of LTK63, a non-toxic mutant of E. coli heat labile enterotoxin

Publications

The acquired immune response to the mucosal adjuvant LTK63 imprints the mouse lung with a protective signature.

Similar Datasets

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