Dataset Information

An integrated multi-omics analysis of identiﬁes distinct molecular characteristics in pulmonary infections of Pseudomonas aeruginosa

ABSTRACT: An integrated multi-omics analysis of identiﬁes distinct molecular characteristics in pulmonary infections of Pseudomonas aeruginosa

PROVIDER: PRJNA975462 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	SRR24710500_1.fastq.gz	Fastqsanger.gz
	SRR24710500_2.fastq.gz	Fastqsanger.gz
	SRR24710501_1.fastq.gz	Fastqsanger.gz
	SRR24710501_2.fastq.gz	Fastqsanger.gz
	SRR24710502_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 40

Similar Datasets

Project description:Pseudomonas aeruginosa (P. aeruginosa) can cause severe acute infections, including pneumonia and sepsis, and cause chronic infections, commonly in patients with structural respiratory diseases. However, the molecular and pathophysiological mechanisms of P. aeruginosa respiratory infection are largely unknown. Here, we performed assays for transposase-accessible chromatin using sequencing (ATAC-seq), transcriptomics, and quantitative mass spectrometry-based proteomics and ubiquitin-proteomics in P. aeruginosa-infected lung tissues for multi-omics analysis, while ATAC-seq and transcriptomics were also examined in P. aeruginosa-infected mouse macrophages. To identify the pivotal factors that are involved in host immune defense, we integrated chromatin accessibility and gene expression to investigate molecular changes in P. aeruginosa-infected lung tissues combined with proteomics and ubiquitin-proteomics. Our multi-omics investigation discovered a significant concordance for innate immunological and inflammatory responses following P. aeruginosa infection between hosts and alveolar macrophages. Furthermore, we discovered that multi-omics changes in pioneer factors Stat1 and Stat3 play a crucial role in the immunological regulation of P. aeruginosa infection and that their downstream molecules (e.g., Fas) may be implicated in both immunosuppressive and inflammation-promoting processes. Taken together, these findings indicate that transcription factors and their downstream signaling molecules play a critical role in the mobilization and rebalancing of the host immune response against P. aeruginosa infection and may serve as potential targets for bacterial infections and inflammatory diseases, providing insights and resources for omics analyses. Author summary Pseudomonas aeruginosa (P. aeruginosa) is a gram-negative aerobic pathogenic bacterium that is widespread in the environment, can undergo anaerobic metabolic activity under certain conditions, is particularly pathogenic and is often associated with lung infections and high mortality rates. In recent years, molecular studies of the mechanisms of the host immune response to bacterial infection have been well interpreted, but the multi-omics changes of multiple molecules in P. aeruginosa systematic analysis of the relationship between them has never been uncovered in detail. In this study, we integrated bioinformatics analysis of ATAC-seq, RNA-seq, proteomics and ubiquitinated proteomics to reveal the landscape of molecular and functional changes of P. aeruginosa infected lung tissues in multiple dimensions. Moreover, we reveal a host defense mechanism by which the crucially important transcription factors Stat1 and Stat3 may co-operatively regulate the expression of the downstream inflammatory genes.

Dataset Information

An integrated multi-omics analysis of identiﬁes distinct molecular characteristics in pulmonary infections of Pseudomonas aeruginosa

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets