Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome wide analysis of untreated, classically and alternatively activated macrophages

ABSTRACT: Analysis of human M0-, M1-, and M2-like macrophages. Total RNA was isolated from untreated, classically and aternative activated human macrophages

ORGANISM(S): Homo sapiens

SUBMITTER: Andrea Nino Castro

PROVIDER: E-GEOD-35449 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

High-resolution transcriptome of human macrophages.

Beyer Marc M Mallmann Michael R MR Xue Jia J Staratschek-Jox Andrea A Vorholt Daniela D Krebs Wolfgang W Sommer Daniel D Sander Jil J Mertens Christina C Nino-Castro Andrea A Schmidt Susanne V SV Schultze Joachim L JL

PloS one 20120921 9

Macrophages are dynamic cells integrating signals from their microenvironment to develop specific functional responses. Although, microarray-based transcriptional profiling has established transcriptional reprogramming as an important mechanism for signal integration and cell function of macrophages, current knowledge on transcriptional regulation of human macrophages is far from complete. To discover novel marker genes, an area of great need particularly in human macrophage biology but also to ...[more]

PMID: 23029029

Similar Datasets

Transcriptome wide analysis of untreated, classically and alternatively activated macrophages

Project description:Analysis of human M0-, M1-, and M2-like macrophages.

2012-10-01 | GSE35449 | GEO

Transcriptome wide analysis of classically and alternatively activated macrophages

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

Effect of hyperglycemia on the transcriptional profile of primary human macrophages

Project description:Hyperglycemia is an essential factor leading to micro- and macrovascular diabetic complications. Macrophages are key innate immune regulators of inflammation that undergo 2 major directions of functional polarization: classically (M1) and alternatively (M2) activated macrophages. The aim of the study was to examine the effect of hyperglycemia on transcriptional activation of M0, M1 and M2 human macrophages.

2017-07-12 | GSE86298 | GEO

Transcriptome wide analysis of classically and alternatively activated macrophages

2012-10-01 | GSE36952 | GEO

Control of the inflammatory macrophage transcriptional signature by miR-155

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

Novel transcriptome signatures and markers defining murine macrophages at the extremes of the canonical M1 and M2 polarization spectrum

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

Quantitative proteomic analysis of four subtypes of M2 macrophages

Project description:In this study, we used mass spectrometry and label-free quantification (LFQ) to characterize the global proteomics of polarized (M1, M2a, M2b, M2c, and M2d) and unpolarized (M0) phenotypes of macrophages from human THP-1 monocytes. The results described the biological functions of the four M2 macrophages subtypes and provided available references for identifying M2 macrophages or subtypes of M2 macrophages.

2022-08-12 | PXD022320 | Pride

Methylation of cg09897064 and Reduced Expression of ZBP1: Innovative Checkpoint Inhibitors in Lung Adenocarcinoma with Implications for Macrophage Polarization and Tumor Growth in Lung Cancer

Project description:Lung cancer, a prevalent and aggressive disease, is characterized by recurrence and drug resistance. Understanding the underlying mechanisms and identifying new therapeutic targets are crucial for improving treatment outcomes. Our research indicates that methylation of cg09897064 and reduced expression of ZBP1 are associated with poor prognosis in lung cancer patients. Furthermore, these factors play a role in macrophage polarization, with ZBP1 upregulated in M1 macrophages compared to both M0 and M2 polarized macrophages. We observed cg09897064 methylation in M2 polarization, but not in M0 and M1 polarized macrophages. ATACseq analysis revealed closed chromatin accessibility of ZBP1 in M0 polarized macrophages, while open accessibility was observed in both M1 and M2 polarized macrophages. Our findings suggest that ZBP1 is downregulated in M0 polarized macrophages due to closed chromatin accessibility and downregulated in M2 polarized macrophages due to cg09897064 methylation. Further investigations manipulating cg09897064 methylation and ZBP1 expression through overexpression plasmids and shRNAs provided evidence for their role in modulating macrophage polarization and tumor growth. ZBP1 inhibits M2 polarization and suppresses tumor growth, while cg09897064 methylation promotes M2 polarization and macrophage-induced tumor growth. In mechanism investigations, we found that cg09897064 methylation impairs CEBPA binding to the ZBP1 promoter, leading to decreased ZBP1 expression. Targeting these factors may hold promise as a strategy for developing innovative checkpoint inhibitors in lung cancer treatment.

2024-01-01 | GSE245440 | GEO

Transcriptomics of M0 macrophages treated with PTEN

Project description:While naive BMDMs without further treatment are referred to as M0-like macrophages, which can be polarized to either M1-like or M2-like macrophages,To assess the consequence of PTEN binding on macrophages, we profiled the global transcriptome of M0-like BMDMs with and without PTEN treatment.

2024-07-25 | GSE249264 | GEO

Expression data from polarized macrophages: effect of p53

Project description:p53 is critically important in preventing oncogenesis but its role in non-cancer biology remains unclear. Macrophages exist as two subtypes (M1 and M2). Nutlin-3a (p53 activator) inhibits M2 gene expression and phenotype. p53 acts by suppressing transcription of c-Myc and thence regulates expression of a subset of M2 markers. This work has implications for our understanding of the mechanisms that regulate plasticity of macrophages in health and disease. We used microarrays to study the global programme of gene expression in nutlin-3a and 10058F4 (C-myc inhibitor) treated polarised mouse macrophages 5 groups of cultured mouse macrophages: (i) M0 (untreated), (ii) M1, (iii) M2, (iv) M2+nutlin-3a, (v) M2+MYC inhibitor (10058F4). 3 biological replicates per treatment group.

2015-01-01 | E-GEOD-53321 | 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