Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated transcriptomic analysis of human tuberculosis granulomas and a biomimetic model identifies therapeutic targets II

ABSTRACT: We hypothesised that whole transcriptome analysis of human TB granulomas isolated by laser capture microdissection could identify therapeutic targets, and that comparison with a non-infectious granulomatous disease, sarcoidosis, would identify disease-specific pathological mechanisms. Bioinformatic analysis of RNAseq data identified numerous shared pathways between TB and sarcoidosis lymph nodes, and also specific clusters demonstrating TB results from a dysregulated inflammatory immune response. To translate these insights, we compared three primary human cell culture models at the whole transcriptome level, and demonstrated that the 3D collagen granuloma model most closely reflected human TB disease. We investigated shared signaling pathways with human disease and identified twelve intracellular enzymes as potential therapeutic targets. Sphingosine kinase 1 inhibition controlled Mtb growth, concurrently reducing intracellular pH in infected monocytes and suppressing inflammatory mediator secretion. Immunohistochemical staining confirmed that sphingosine kinase 1 is expressed in human lung TB granulomas, and therefore represents a host therapeutic target to improve TB outcomes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE174566 | GEO | 2021/05/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Integrated transcriptomic analysis of human tuberculosis granulomas and a biomimetic model identifies therapeutic targets

Project description:We hypothesised that whole transcriptome analysis of human TB granulomas isolated by laser capture microdissection could identify therapeutic targets, and that comparison with a non-infectious granulomatous disease, sarcoidosis, would identify disease-specific pathological mechanisms. Bioinformatic analysis of RNAseq data identified numerous shared pathways between TB and sarcoidosis lymph nodes, and also specific clusters demonstrating TB results from a dysregulated inflammatory immune response. To translate these insights, we compared three primary human cell culture models at the whole transcriptome level, and demonstrated that the 3D collagen granuloma model most closely reflected human TB disease. We investigated shared signaling pathways with human disease and identified twelve intracellular enzymes as potential therapeutic targets. Sphingosine kinase 1 inhibition controlled Mtb growth, concurrently reducing intracellular pH in infected monocytes and suppressing inflammatory mediator secretion. Immunohistochemical staining confirmed that sphingosine kinase 1 is expressed in human lung TB granulomas, and therefore represents a host therapeutic target to improve TB outcomes.

2021-05-15 | GSE174443 | GEO

Differential transcriptomics in sarcoidosis lung and lymph node granulomas with comparisons to pathogen-specific granulomas

Project description:Rationale: Despite the availability of multi-“omics” strategies, insights into the etiology and pathogenesis of sarcoidosis have been elusive. This is partly due to the lack of reliable preclinical models and a paucity of validated biomarkers. As granulomas are a key feature of sarcoidosis, we speculate that direct genomic interrogation of sarcoid tissues, may lead to identification of dysregulated gene pathways or biomarker signatures. Objective: To facilitate the development sarcoidosis genomic biomarkers by gene expression profiling of sarcoidosis granulomas in lung and lymph node tissues (most commonly affected organs) and comparison to infectious granulomas (coccidiodomycosis and tuberculosis).

2020-12-09 | GSE157671 | GEO

Inflammatory signaling in human Tuberculosis granulomas is spatially organized

Project description:Granulomas are the pathological hallmark of tuberculosis (TB). However, their function and mechanisms of formation remain poorly understood. To understand the role of granulomas in TB, we analyzed the proteomes of granulomas from TB patients in an unbiased fashion. Using laser capture microdissection and mass spectrometry , we generated detailed molecular maps of human granulomas. We found that the centers of granulomas possess a pro-inflammatory environment characterized by anti-microbial peptides, ROS and pro-inflammatory eicosanoids. Conversely, the tissue surrounding the caseum possesses a comparatively anti-inflammatory signature.

2016-02-26 | PXD003646 | Pride

Gene expression profiles of caseous human pulmonary TB granulomas derived from TB patients

Project description:Most individuals infected with Mycobacterium tuberculosis can control the infection by forming and maintaining TB granulomas at the local infection foci. However, when the chronic infection (also known as latency) becomes active, the caseous center of TB granuloma enlarges, and it liquefies and cavitates, ultimately releasing bacilli into airway. Deciphering how genes are regulated within TB granulomas will help to understand the granuloma biology. Therefore, we performed genome-wide microarray on caseous human pulmonary TB granulomas and compared with normal lung tissues. Laser capture microdissection (LCM) was used to dissect out caseous granulomas from TB patients' lung tissues, excluding uninvolved areas. Total RNA were isolated from LCM-derived materials and used for microarray. As a control, parenchyma from normal lung tissues was prepared in the same manner as caseous granulomas. Sample GSM501252, Caseum 2-C, is missing a CEL file.

2010-06-08 | E-GEOD-20050 | biostudies-arrayexpress

Gene expression profiles of caseous human pulmonary TB granulomas derived from TB patients

2010-06-02 | GSE20050 | GEO

Inflammatory signaling in human Tuberculosis granulomas is spatially organized

2017-03-29 | MSV000080720 | MassIVE

Ultra-low dose aerosol infection provides an improved murine model of tuberculosis

Project description:Tuberculosis (TB) is a heterogeneous disease manifesting in a subset of individuals infected with aerosolized Mycobacterium tuberculosis (Mtb). Unlike human TB, murine infection results in uniformly high lung bacterial burdens and poorly organized granulomas. To develop a TB model that more closely resembles human disease, we infected mice with an ultra-low dose (ULD) of between 1-3 founding bacteria, reflecting a physiologic inoculum. ULD-infected mice exhibited highly heterogeneous bacterial burdens, well-circumscribed granulomas that shared features with human granulomas, and prolonged Mtb containment with unilateral pulmonary infection in some mice. We identified blood RNA signatures in mice infected with an ULD or a conventional Mtb dose (50-100 CFU) that correlated with lung bacterial burdens and predicted Mtb infection outcomes across species, including risk of progression to active TB in humans. Overall, these findings highlight the potential of the mouse TB model and show that ULD infection recapitulates key features of human TB.

2020-11-06 | GSE158807 | GEO

Single-cell and spatial architecture of human tissue granulomas reveals an aberrant immune-regulatory program underlying sarcoidosis [spatial transcriptomics data]

Project description:Purpose: Granulomas are lumps of immune cells that can form in various organs, causing chronic inflammation and tissue destruction. While most granulomas appear histologically heterogeneous and unstructured, they have a certain resemblance of lymphoid organ formation. We thus pursued the hypothesis that granuloma formation is a highly orchestrated process that mixes and repurposes various regulatory mechanisms of normal development Methods: We performed single-cell sequencing and spatial transcriptomics on granulomas from patients diagnosed with cutaneous sarcoidosis, and we bioinformatically reconstructed their gene-regulatory networks and cell-cell interactions Results: We observed regulatory processes underlying granuloma formation that were highly conserved across individuals and followed characteristic spatial patterns. We identified metabolically reprogrammed macrophages, various T cells subsets and structural cells including fibroblasts and endothelial cells as key players in granulomas. Specifically, exhausted interferon-gamma-producing Th17.1 cells with cytotoxic potential and inflammatory fibroblasts were identified as drivers of granuloma formation by attracting various immune cell types. Summary: we found that granuloma formation in sarcoidosis is a molecular and cellular process that adopts specific aspects of normal lymphoid organ development in aberrant combinations. Our study frames human granuloma formation as a developmental pathology and raises the future perspective of therapeutic targeting of granuloma-specific regulatory programs.

2023-02-07 | GSE192460 | GEO

Single-cell and spatial architecture of human tissue granulomas reveals an aberrant immune-regulatory program underlying sarcoidosis [single-cell sequencing]

2023-02-07 | GSE192456 | GEO

scRNA-seq analysis of skin CD45+ cells mice where Tsc2 is deleted in CD11c-expressing cells

Project description:Rationale: Chronic sarcoidosis is a complex granulomatous disease with limited treatment options that can progress over time. Understanding the molecular pathways contributing to disease would aid in new therapeutic development. Objectives: To understand if macrophages from non-resolving chronic sarcoidosis patients are predisposed to macrophage aggregation and granuloma formation, and if modulation of the underlying molecular pathways influence sarcoidosis granuloma formation. Methods: Macrophages were cultivated in vitro from isolated peripheral blood CD14+ monocytes and evaluated for spontaneous aggregation. Transcriptomics analyses, phenotypic and drug inhibitory experiments were performed on these monocyte-derived macrophages. Human skin biopsies from sarcoidosis patients and a myeloid Tsc2-specific sarcoidosis mouse model were analyzed for validatory experiments. Measurements and Main Results: Monocyte-derived macrophages from chronic sarcoidosis patients spontaneously formed extensive granulomas in vitro compared to healthy controls. Transcriptomic analyses separated healthy and sarcoidosis macrophages and identified an enrichment in lipid metabolic processes. In vitro patient granulomas, sarcoidosis mouse model granulomas, and those directly analyzed from lesional patient skin expressed an aberrant lipid metabolism profile and contained increased neutral lipids. Conversely, a combination of statins and cholesterol-reducing agents reduced granuloma formation both in vitro and in vivo in a sarcoidosis mouse model. Conclusions: Together, our findings show that altered lipid metabolism in sarcoidosis macrophages is associated with its predisposition to granuloma formation and suggest cholesterol-reducing therapies as a treatment option in patients.

2024-05-22 | GSE250508 | GEO

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