Herpesvirus-encoded microRNA dysregulate M1 and M2 macrophage miRNA profiles
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE150146 | GEO | 2022/05/31
REPOSITORIES: GEO
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Project description:This study aims to identify and characterize miRNA expression in aneurysmal smooth muscle cells (SMCs) and M1 and M2 macrophages isolated by laser microdissection from human AAA biopsy samples. The aim of this study was to profile (with microarray technology) miRNAs in M1 and M2 macrophages and Smooth muscle cells (SMCs), isolated by laser capture microdissection (LCM). SMCs isolated from control non-aneurysmal aortas were the control group according to which data were normalized. Areas enriched in M1 macrophages, M2 macrophages and smooth muscle cells were microdissected (9.8 [4.7-16.2] mm2) from two different biopsy samples of human abdominal aortic aneurysm. An area enriched in smooth muscle cells was microdissected from two biopsy samples of non aneurysmal abdominal aortas. Each microdissected samples were analyzed independently on microarray. M1 and M2 macrophages and smooth muscle cells expressed in human abdominal aneurysmal aortas were each analyzed in duplicate (each isolated from different human donors of abdominal aortic aneurysm). Analysis of replicated samples of cells were performed on a second microarray. Data were normalized with smooth muscle cells isolated from human abdominal non aneurysmal aortas.
2014-10-09 | E-GEOD-62179 | biostudies-arrayexpress
Project description:Classically activated (M1) macrophages protect from infection but can cause inflammatory disease and tissue damage while alternatively activated (M2) macrophages reduce inflammation and promote tissue repair. Modulation of macrophage phenotype may be therapeutically beneficial and requires further understanding of the molecular programs that control macrophage differentiation. A potential mechanism by which macrophages differentiate may be through microRNA (miRNA), which bind to messenger RNA and post-transcriptionally modify gene expression, cell phenotype and function. The inflammation-associated miRNA, miR-155, was rapidly up-regulated over 100-fold in M1, but not M2, macrophages. Inflammatory M1 genes and proteins iNOS, IL-1b and TNF-a were reduced up to 72% in miR-155 knockout mouse macrophages, but miR-155 deficiency did not affect expression of genes associated with M2 macrophages (e.g., Arginase-1). Additionally, a miR-155 oligonucleotide inhibitor efficiently suppressed iNOS and TNF-a gene expression in wild-type M1 macrophages. Comparative transcriptional profiling of unactivated (M0) and M1 macrophages derived from wild-type and miR-155 knockout (KO) mice revealed an M1 signature of approximately 1300 genes, half of which were dependent on miR-155. Real-Time PCR of independent datasets validated miR-155's contribution to induction of iNOS, IL-1b, TNF-a, IL-6 and IL-12, as well as suppression of miR-155 targets Inpp5d, Tspan14, Ptprj and Mafb. Overall, these data indicate that miR-155 plays an essential role in driving the differentiation and effector potential of inflammatory M1 macrophages. Total RNA was prepared from bone marrow-derived macrophages of miR-155 knockout mice (n=2 independent mice) treated in M0, M1 or M2 conditions (n=2 replicates per condition originating from different mice)
2016-07-15 | E-GEOD-77425 | biostudies-arrayexpress
Project description:As the primary seed cells in periodontal tissue engineering, the role of periodontal ligament stem cells (PDLSCs) in periodontal tissue regeneration and bone remodeling during orthodontic tooth movement (OTM) has been well documented. Nevertheless, the impact of different polarization states of macrophages on the osteogenic differentiation of PDLSCs is poorly understood. M0, M1 and M2 macrophage-derived exosomes (M0-exo, M1-exo and M2-exo) were treated with primary cultured human PDLSCs, respectively. Identification of differentially expressed microRNAs (DE-miRNA) in M0-exo and M2-exo by miRNA microarray. In summary, we have indicated for the first time that M2-exo can promote osteogenic differentiation of human PDLSCs, and have revealed the functions and pathways involved in the DE-miRNAs of M0-exo and M2-exo and their downstream targets.
2022-10-31 | GSE209957 | GEO
Project description:This mathematical model of the role of the innate immune responses generated by macrophages in the context of anti-tumour oncolytic viral therapies is described in the publication:
Nada Almuallem, Dumitru Trucu, Raluca Eftimie. "Oncolytic viral therapies and the delicate balance between virus-macrophage-tumour interactions: A mathematical approach". Mathematical Biosciences and Engineering, 2021, 18(1): 764-799.
doi: 10.3934/mbe.2021041
Comment:
This model is represented by Equations 2.1a-f of the publication manuscript.
Abstract:
The success of oncolytic virotherapies depends on the tumour microenvironment, which contains a large number of infiltrating immune cells. In this theoretical study, we derive an ODE model to investigate the interactions between breast cancer tumour cells, an oncolytic virus (Vesicular Stomatitis Virus), and tumour-infiltrating macrophages with different phenotypes which can impact the dynamics of oncolytic viruses. The complexity of the model requires a combined analytical-numerical approach to understand the transient and asymptotic dynamics of this model. We use this model to propose new biological hypotheses regarding the impact on tumour elimination/relapse/persistence of: (i) different macrophage polarisation/re-polarisation rates; (ii) different infection rates of macrophages and tumour cells with the oncolytic virus; (iii) different viral burst sizes for macrophages and tumour cells. We show that increasing the rate at which the oncolytic virus infects the tumour cells can delay tumour relapse and even eliminate tumour. Increasing the rate at which the oncolytic virus particles infect the macrophages can trigger transitions between steady-state dynamics and oscillatory dynamics, but it does not lead to tumour elimination unless the tumour infection rate is also very large. Moreover, we confirm numerically that a large tumour-induced M1→M2 polarisation leads to fast tumour growth and fast relapse (if the tumour was reduced before by a strong anti-tumour immune and viral response). The increase in viral-induced M2→M1 re-polarisation reduces temporarily the tumour size, but does not lead to tumour elimination. Finally, we show numerically that the tumour size is more sensitive to the production of viruses by the infected macrophages.
2024-09-02 | BIOMD0000001033 | BioModels
Project description:Macrophages have distinct characteristics depending on their microenvironment. We performed proteomic analysis between M1 and M2 macrophages and found that cellular metabolism is the key regulator of macrophage function. We used microarray to support proteomic data between M1 and M2 macrophages. M1 macrophages are obtained using cell sorting of CD45+MHCII+CD8a-F4/80+ population from C57BL/6J bone marrow cell derived heterogenous cells under GM-CSF conditioning for 7 days. M2 macrophages are differentiated with 20% L929 cell supernatant for 7 days and sorted from CD45+F4/80+CD11b+ population.
2014-11-14 | E-GEOD-63245 | biostudies-arrayexpress
Project description:This study aims to identify and characterize miRNA expression in aneurysmal smooth muscle cells (SMCs) and M1 and M2 macrophages isolated by laser microdissection from human AAA biopsy samples. The aim of this study was to profile (with microarray technology) miRNAs in M1 and M2 macrophages and Smooth muscle cells (SMCs), isolated by laser capture microdissection (LCM). SMCs isolated from control non-aneurysmal aortas were the control group according to which data were normalized. Areas enriched in M1 macrophages, M2 macrophages and smooth muscle cells were microdissected (9.8 [4.7-16.2] mm2) from two different biopsy samples of human abdominal aortic aneurysm. An area enriched in smooth muscle cells was microdissected from two biopsy samples of non aneurysmal abdominal aortas. Each microdissected samples were analyzed independently on microarray.
2014-10-09 | GSE62179 | GEO
Project description:Macrophages have distinct characteristics depending on their microenvironment. We performed proteomic analysis between M1 and M2 macrophages and found that cellular metabolism is the key regulator of macrophage function. We used microarray to support proteomic data between M1 and M2 macrophages.
2014-11-14 | GSE63245 | GEO
Project description:Classically (M1) and alternatively activated (M2) macrophages play distinct roles in various physiological and disease processes. Understanding the gene transcription programs that contribute to macrophage polarization along the M1/M2 spectrum may lead to new tools to detect and therapeutically manipulate macrophage phenotype. Here, we define the M1 and M2 macrophage signature through mRNA microarray. The M1 macrophage signature was defined by 629 up-regulated and 732 down-regulated genes while the M2 macrophage signature was formed by 388 up-regulated and 425 down-regulated genes. While a subset of probes was common to both M1 and M2 cells, others were exclusive to each macrophage subset. The common M1/M2 pathways were characterized by changes in various transcriptional regulators and signaling partners, including increases in Kruppel-like Factor (Klf) 4, but decreases in Klf2. To identify M1 and M2 biomarkers that help discriminate these populations, we selected genes that were increased during M1 or M2 differentiation but decreased in the opposite population. Among top novel M1-distinct genes, we identified CD38, G-protein coupled receptor 18 (Gpr18) and Formyl peptide receptor 2 (Fpr2). Among top M2 genes, we found early growth response protein 2 (Egr2) and Myc. We validated these genes by Real-Time PCR and developed a CD38/Egr2-based flow cytometry assay that discriminates between M1 and M2 macrophages. Overall, this work defines the M1 and M2 signature and identifies several novel M1 and M2 genes that may be used to distinguish and manipulate M1 and M2 macrophages. Total RNA was prepared from bone marrow-derived macrophages of wild-type mice (n=2-3 independent mice) treated in M0, M1 or M2 conditions (n=2-3 replicates per condition originating from different mice)
2015-12-08 | E-GEOD-69607 | biostudies-arrayexpress
Project description:Herpesvirus-encoded microRNA dysregulate M1 and M2 macrophage miRNA profiles
| PRJNA631255 | ENA
Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived human M1- and M2-like macrophage profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to establish a high resolution transcriptome of human macrophages. Total RNA was isolated from classically and aternative activated human macrophages.mRNA profiles were generated by deep sequencing og M1 and M2 macrophages from 3 donors using Illumina HiSeqSQ. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Casava1.8 and TopHat followed by Cufflinks. qRT–PCR validation was performed using LightCycler and SYBR Green assays. mRNA profiles were generated by deep sequencing og M1 and M2 macrophages from 3 donors using Illumina HiSeqSQ.
2012-10-01 | E-GEOD-36952 | biostudies-arrayexpress