Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Control of Mycobacterium abscessus pulmonary infection requires IFN- γ Induced formation of foam macrophages

ABSTRACT: To characterize the post infection responses of gene transcription in mice lungs after M. abscessus infection, we performed genome-wide transcriptional profiling analysis on lungs of WT and Rag2_KO mice after M. abscessus infection both in 7 dpi and 35dpi. The data revealed dynamic changes in lungs over a 35-day infection course. Four ‘‘functional’’ clusters were highlighted, including innate immunity function, adaptive immunity function, anti-microbial responses and inflammation & cell death.

ORGANISM(S): Mus musculus

PROVIDER: GSE232854 | GEO | 2026/05/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Control of Mycobacterium abscessus pulmonary infection requires IFN- γ Induced formation of foam macrophages

Project description:Control of Mycobacterium abscessus pulmonary infection requires IFN- γ Induced formation of foam macrophages

| PRJNA974071 | ENA

Human pluripotent stem cell-derived macrophages host Mycobacterium abscessus infection

Project description:Human macrophages are a natural host of many mycobacterium species, including Mycobacterium abscessus (M. abscessus), an emerging pathogen affecting patients with lung diseases and immunocompromised individuals. There are few available treatments and the search for effective antibiotics against M. abscessus has been hindered by the lack of a tractable in vitro intracellular model of infection. Here, we established a reliable model for M. abscessus infection using human pluripotent stem cell-derived macrophages (hPSC-macrophages). hPSC differentiation permitted a reproducible generation of functional human macrophages that were highly susceptible to M. abscessus infection. Electron microscopy demonstrated that M. abscessus was present in the vacuoles of hPSC-macrophages. RNA-sequencing analysis revealed a time dependent host cell response to M. abscessus, with differing gene and protein expression patterns observed at 3-hours, 24-hours and 48-hours post-infection. Culture of engineered tdTOMATO-expressing hPSC-macrophages with GFP-expressing M. abscessus enabled rapid and image-based high-throughput analysis of intracellular infection and quantitative assessment of antibiotic resistance and efficacy. Our study describes the first hPSC-based model for M. abscessus infection, which represents a novel platform for studying M. abscessus-host interaction and an accessible tool for drug discovery.

2022-08-10 | GSE207456 | GEO

IFN-γ induced the formation of foamy macrophages by CD40 signaling control during Mycobacterium abscessus pulmonary infection

Project description:Transcriptome sequencing was performed to identify genes that might be responsible for the formation of a large number of lipid droplets with a combination of IFN-γ pretreatment and M. abscessus infection

2025-08-06 | GSE287681 | GEO

RNA sequencing of Mycobacterium abscessus under infection-relevant conditions

Project description:RNA sequencing (RNA-seq) of Mycobacterium abscessus in four infection-relevant culture conditions: hypoxic stress, artificial sputum medium, kanamycin-treated medium, and erythromycin-treated medium. Triplicate cultures of M. abscessus were grown in (1) Artificial Sputum media, (2) hypoxic conditions, (3) the presence of kanamycin, and (4) the presence of erythromycin. Triplicate controls were prepared for sample (1) and samples (2-4).

2016-03-02 | E-GEOD-78787 | biostudies-arrayexpress

Mice lung gene expression profiles in response to Mycobacterium abscessus

Project description:Mice were challneged with Mycobacterium abscessus cell wall particles intra- tracheally or saline. Lung was harvested after 3 weeks. RNA extracted from lungs and RNASeq was performed to identify differentially expressed genes.

2020-08-16 | GSE140438 | GEO

Spectinomycin Analogs for the Treatment of Mycobacterium abscessus Infections

Project description:Non-tuberculous mycobacteria (NTM) are emerging pathogens with high intrinsic drug resistance. Among rapidly growing NTM species, Mycobacterium abscessus is among the most pathogenic. Standard of care therapy has led to unacceptable outcomes and demonstrates the urgent need to develop effective, broad-spectrum antimycobacterial regimens. Through synthetic modification of spectinomycin (SPC), an aminocyclitol antibiotic, we have identified a distinct structural subclass of ethylene linked aminomethyl spectinomycins (eAmSPC) that are up to 64-fold more potent against M. abscessus when compared to SPC. Lead eAmSPC retain activity against other NTM species and multi-drug resistant M. abscessus clinical isolates. Sequencing of eAmSPC-resistant mutants revealed nucleotide changes in the distinct helix-34 spectinomycin binding site and X-ray crystallography further demonstrated the derivatives mode of ribosomal inhibition remained on target. The eAmSPC displayed increased intracellular accumulation compared to SPC and transcriptional profiling indicate that eAmSPC’s induce whiB7 resistance responses, however, the series maintains potency despite its expression. These leads display favorable pharmacokinetic profiles and robust efficacy in M. abscessus mouse infection models. The results of these studies suggest that eAmSPCs have the potential to be developed into clinical treatments for M. abscessus and other NTM infections.

2023-01-09 | GSE222081 | GEO

Overlap in antibiotic stress responses leads to cross-resistance between ribosomal acting drugs in Mycobacterium abscessus.

Project description:Mycobacterium abscessus is an opportunistic pathogen notorious for its resistance to most classes of antibiotics and low cure rates. In addition to the highly impermeable mycomembrane, M. abscessus carries an array of shared and species-specific defence mechanisms. However, it remains unknown whether M. abscessus’ antibiotic stress response is fine-tuned or an all-or-nothing response. A deeper understanding of underlying resistance and tolerance mechanisms is pivotal in development of targeted therapeutic regimens. We elucidate the transcriptomic response of M. abscessus to antibiotics recommended in treatment guidelines. The M. abscessus ATCC 19977 strain was used. Bacteria were subjected to sub-inhibitory concentrations of drugs for 4- and 24-hours, followed by RNA sequencing. In addition, time-kill kinetic analysis was performed using bacteria after pre-exposure to clarithromycin, amikacin or tigecycline for 24-hours. Lastly, Pan-genome analysis of 35 strains from all three subspecies was performed. Mycobacterium abscessus shows both drug-specific and communal transcriptomic responses to antibiotic exposure. Key features of its tolerance to antibiotics are drug-specific converting enzymes, target protection and shifts in its respiratory chain and metabolic state. The observed transcriptomic responses are likely not strain-specific, as genes involved in tolerance are found in all included strains, with the exception of erm(41) in M. abscessus subspecies massiliense. Due to the communal response elicited by ribosomal-targeting antibiotics, exposure to any of these drugs rapidly induces tolerance mechanisms that decrease susceptibility to ribosome-targeting drugs from multiple classes. Screening high-risk patients (e.g. those with bronchiectasis) for M. abscessus infection prior to starting macrolide or aminoglycoside maintenance therapy is warranted.

2022-01-25 | GSE163621 | GEO

RNA sequencing of Mycobacterium abscessus under infection-relevant conditions

2016-03-02 | GSE78787 | GEO

Insights into Early Recovery from Influenza Pneumonia by Spatial and Temporal Quantification of Putative Lung Regeneration Cells and buy Lung Proteomics

Project description:During influenza pneumonia, the alveolar epithelial cells of the lungs are targeted by influenza virus. The distal airway stem cells (DASCs) and proliferating alveolar type II (AT2) cells are reported to be putative lung repair cells. However, their relative spatial and temporal distribution is still unknown during influenza-induced acute lung injury. Here, we investigated the distribution of these cells, and concurrently performed global proteomic analysis of the infected lungs to elucidate and link the cellular and molecular events during influenza pneumonia recovery. BALB/c mice were infected with a sub-lethal dose of influenza H1N1 virus. From 5 to 25 days post-infection (dpi), mouse lungs were subjected to histopathologic and immunofluorescence analysis to probe for global distribution of lung repair cells (using P63 and KRT5 markers for DASCs; PCNA and SPC markers for AT2 cells). At 7 and 15 dpi, infected mouse lungs were also subjected to protein mass spectrometry for relative protein quantification. DASCs appeared only in the damaged area of the lung from 7 dpi onwards, reaching a peak at 21 dpi, and persisted at 25 dpi. However, no differentiation of DASCs to AT2 cells was observed by 25 dpi. In contrast, AT2 cells began proliferating from 7 dpi to replenish its population. Mass spectrometry and gene ontology analysis revealed prominent innate immune response at 7 dpi, which shifted towards adaptive immune responses by 15 dpi. Hence, proliferating AT2 cells but not DASCs contribute to AT2 cell regeneration following transition from innate to adaptive immune responses during the early phase of recovery from influenza pneumonia up to 25 dpi.

2020-04-17 | PXD014967 | Pride

Computational drug repositioning identifies niclosamide and tribromsalan as inhibitors of Mycobacterium tuberculosis and Mycobacterium abscessus

Project description:Tuberculosis (TB) is still a major global health challenge, killing over 1.5 million people each year, and hence, there is a need to identify and develop novel treatments for Mycobacterium tuberculosis (M. tuberculosis). The prevalence of infections caused by nontuberculous mycobacteria (NTM) is also increasing and has overtaken TB cases in the United States and much of the developed world. Mycobacterium abscessus (M. abscessus) is one of the most frequently encountered NTM and is difficult to treat. We describe the use of drug-disease association using a semantic knowledge graph approach combined with machine learning models that has enabled the identification of several molecules for testing anti-mycobacterial activity. We established that niclosamide (M. tuberculosis IC90 2.95 μM; M. abscessus IC90 59.1 μM) and tribromsalan (M. tuberculosis IC90 76.92 μM; M. abscessus IC90 147.4 μM) inhibit M. tuberculosis and M. abscessus in vitro. To investigate the mode of action, we determined the transcriptional response of M. tuberculosis and M. abscessus to both compounds in axenic log phase, demonstrating a broad effect on gene expression that differed from known M. tuberculosis inhibitors. Both compounds elicited transcriptional responses indicative of respiratory pathway stress and the dysregulation of fatty acid metabolism. Further testing against drug-resistant isolates and other NTM is warranted to clarify the usefulness of these repurposed drugs for mycobacteria.

2024-03-01 | E-MTAB-13761 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data