Microarrays of THP-1 derived macrophages in silencing experiments of AC136475.5 lncRNA vs. scrambled control gapmers
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE135567 | GEO | 2022/08/05
REPOSITORIES: GEO
Similar Datasets
Project description:Microarrays of THP-1 derived macrophages in silencing experiments of AC136475.5 lncRNA vs. scrambled control gapmers
| PRJNA559330 | ENA
Project description:Excessive inflammation within the central nervous system is injurious, but an immune response is also required for its repair. Macrophages are versatile cells that adopt different properties depending upon their microenvironment. Exposing macrophages to interleukin-4 and -13 (IL4/IL13) has incurred interest for their reparative properties. Unexpectedly, while macrophages exposed to the classic pro-inflammatory signals (interferon-γ/lipopolysaccharide, IFN/LPS) killed neurons and oligodendrocytes in culture, the addition of LPS to IL4/IL13-treated macrophages profoundly elevated IL10, repair metabolites (lactate, ornithine), glucose metabolism and the oligodendrocyte-trophic heparin-binding epidermal growth factor (HBEGF); cells did not display pro-inflammatory or neurotoxic features. In mice with spinal cord demyelination, locally-applied IL4/IL13 was insufficient to alter responses beyond controls; remarkably, the LPS/IL4/IL13-treated animals significantly increased lesional phagocytic macrophages/microglia, lactate and HBEGF levels, oligodendrogenesis and remyelination. We report a remarkably reparative state of macrophages that is unexpectedly generated by the integration of pro- (LPS) and anti- (IL4/IL13) inflammatory activation cues.
2019-09-06 | PXD015021 | Pride
Project description:The experiments were done using an Orbitrap Fusion or an Orbitrap Fusion Lumos mass spectrometer. Multiplexing was achieved using either TMT10 or TMT11 reagents and the SPS-MS3 method. Basic pH reversed-phase chromatography (bRPLC) was used for off-line pre-fractionation; 12 fractions were analyzed for proteome mappings (PMID: 26700037) and 24 fractions plus a phosphotyrosine-enriched sample for phosphoproteome mappings (PMID: 31606085). Phosphoproteome mappings were done using both HCD fragmentation with Orbitrap fragment ion detection and CID fragmentation with ion trap fragment ion detection (PMID: 29487189, PMID: 31606085). If multiple TMT sets were required to analyze all samples from an experiment two bridge channels pooled from all samples was used to connect the data from the individual TMT sets (PMID: 28892078).
Five proteomics experiments are described in the paper:
(i) 1. Quantitative proteomics of fully polarized macrophages after 4 days of treatment with IL4 or IFNgamma/LPS to determine global proteome landscape of fully polarized THP-1-derived M1-type versus M2a-type macrophages:
Proteome mapping on Orbitrap Fusion (one TMT set)
RAW files: Marneros_4DayTreatment_proteome_fraction01 to ...fraction12
8 samples
Labeling: PMA.1 (126), PMA.2 (127n), IL4.1 (127c), IL4.2 (128n), ILJQ1.1 (128c), ILJQ1.2 (129n), IFNgamma.1 (129c), IFNgamma.2 (130n)
(ii) Time-course quantitative proteomics during the first 24 hours after induction of macrophage polarization in THP-1-derived macrophages to identify protein changes associated with M1-type (IFNgamma/LPS-induced) versus M2a-type (IL-4-induced) polarization:
Proteome mapping on Orbitrap Fusion (three TMT sets: set01, set02, set03)
RAW files:
Marneros_timecourse_proteome_TMTset01_fraction01 to ...fraction12
Marneros_timecourse_proteome_TMTset02_fraction01 to ...fraction12
Marneros_timecourse_proteome_TMTset03_fraction01 to ...fraction12
22 samples
Labeling:
set01; bridge 1 (126), PMA 0min (127n), PMA 10min (127c), PMA 30min (128n), PMA 1h (128c), PMA 2h (129n), PMA 4h (129c), PMA 8h (130n), PMA 24h (130c), bridge 2 (131n)
set02; bridge 1 (126), IL4 10min (127n), IL4 30min (127c), IL4 1h (128n), IL4 2h (128c), IL4 4h (129n), IL4 8h (129c), IL4 24h (130n), IFN 10min (130c), bridge 2 (131n)
set03; bridge 1 (126), IFN 30min (127n), IFN 1h (127c), IFN 2h (128n), IFN 4h (128c), IFN 8h (129n), IFN 24h (129c), bridge 2 (131n)
(iii) Time-course quantitative phosphoproteomics during the first 24 hours after induction of macrophage polarization in THP-1-derived macrophages to identify phosphorylation events associated with M1-type (IFNgamma/LPS-induced) versus M2a-type (IL-4-induced) polarization (same time points as in group 2):
Phosphoproteome mapping on Orbitrap Fusion (three TMT sets: set01, set02, set03)
RAW files:
Marneros_timecourse_phospho_TMTset01_fraction01 to ...fraction06, ...fraction08 to ...fraction24, ...pY
Marneros_timecourse_phospho_TMTset02_fraction01 to ...fraction12, ...fraction16 to ...fraction24, ...pY
Marneros_timecourse_phospho_TMTset03_fraction01 to ...fraction24, ...pY
The following RAW files gave no phosphopeptide quantifications (they are no included in the group of provided RAW files): set01_fraction07, set02_fraction13, set02_fraction14, set02_fraction15.
22 samples
Labeling: as in (ii)
(iv) Quantitative proteomics to assess the effects of the B-Raf inhibitor GDC-0879 or of the MEK inhibitor trametinib on IL-4-induced M2-type polarization and IFNgamma/LPS-induced M1-type polarization on THP-1-derived macrophages after 24 hours of treatment:
Proteome mapping on Orbitrap Fusion (one TMT set)
RAW files: Marneros_BRAF_inhibitor_proteine_fraction01 to ...fraction12
11 samples
Labeling: IL4 1 (131c), IL4 2 (127n), IL4+GDC 1 (131n), IL4+GDC 2 (128n), IL4+TRAM 1 (130c), IL4+TRAM 2 (129n), IFNgamma+LPS 1 (130n), IFNgamma+LPS 2 (127c), IFNgamma+LPS+TRAM 1 (126), IFNgamma+LPS+TRAM 2(129c), IFNgamma+LPS+GDC (128c)
(v) Quantitative phosphoproteomics to assess the effects of the B-Raf inhibitor GDC-0879 on IL-4-induced M2-type polarization and IFNgamma/LPS-induced M1-type polarization on THP-1-derived macrophages after 24 hours of treatment:
Phosphoproteome mapping on Orbitrap Fusion Lumos (one TMT set)
RAW files: Marneros_BRAF_inhibitor_phospho_fraction01 to ...fraction24, ...pY
7 samples
Labeling: IL4 1 (131c), IL4 2 (127n), IL4+GDC 1 (130n), IL4+GDC 2 (128n), IFNgamma+LPS 1 (128c), IFNgamma+LPS 2 (127c), IFNgamma+LPS+GDC (130c)
2019-12-10 | MSV000084672 | MassIVE
Project description:We immunoprecipitated EZH2, together with associated chromatin isolated from the HUVECs (2 x 10^6) that were transfected with MEG3 GapmeRs (10 nM, 48 h) or a scrambled control GapmeRs (Ctr). For transfection, we used 10 nM scrambled LNA (locked nucleic acids) GapmeR control (Cat. No. 339515) or phosphorothioate antisense standard GapmeRs MEG3-lncRNA (Cat No. 339511, Qiagen). On beads crosslinked chromatin complexes were reversed, and DNA purified using QIAquick® PCR Purification Kit and quantified by Qubit HS assay (Q33230)
2024-04-12 | GSE234543 | GEO
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived IL4/IL13 treated BMDMs transcriptome profiling (RNA-seq) to quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods. Methods: BMDMs mRNA profiles of 8 weeks old wild-type (WT) mice were generated, stimulated with IL4/IL13, IL4/IL13+ TNF or TNF, deep sequenced, in triplicate, using Illumina NovaSeq 6000 platform. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9). Conclusions: Our study represents the first detailed analysis of IL4/IL13 or IL4/IL13+TNF stimulated BMDMs, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2021-05-04 | GSE169348 | GEO
Project description:The human acute myeloid leukemia cell lines MOLM-14 and THP-1 were silenced for MUC1 expression by lentiviral transduction of MUC1 specific shRNA or scrambled control. RNA was extracted and NanoString array for microRNAs was performed.
2017-06-01 | GSE99510 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE17914: IL13 and CCL2 Drive Disease in an Inflammatory Subset of Scleroderma [cGVHD] GSE24403: IL13 and CCL2 drive disease in an inflammatory subset of Scleroderma [IL13] GSE24409: IL13 and CCL2 drive disease in an inflammatory subset of Scleroderma [IL4] Refer to individual Series
2011-06-30 | E-GEOD-24410 | biostudies-arrayexpress
Project description:Macrophages are innate immune cells characterized by their plasticity and their ability to react to various environmental stimuli. These cells are involved in a multiple number of tissular functions in homeostasis and pathological contexts. According to their environment these cells could be polarized toward different states of activation which determine their functional orientation. A large part of the macrophage biology field is devoted to better define what polarizations are, from a molecular point of view. It is now accepted that a multidimensional model of polarization is needed to grasp the broad phenotype repertoire depending on various environmental signals. Oxygen tension is one of these tissular environmental parameters. We designed this study to obtain a proteomic signature of various polarizations in human monocytes derived macrophages. We also seek to explore how environmental oxygen tension varying from an atmospheric composition (18.6% O2) to a “tissular normoxia” (3% O2) could modify our classification of macrophages’ polarization. We have obtained various polarization specific proteins and oxygen sensors for human macrophages. One example is arachidonate 15-lipoxygenase (ALOX15) which is a IL4/IL13 polarization specific proteins up regulated under low oxygen exposure associated to an increase of the phagocytosis rate of apoptotic cells. These results illustrate the necessity to take into account physicochemical parameters like oxygen when macrophage polarization is studied to correctly assess their functions in tissues.
2017-09-11 | PXD006354 | Pride
Project description:Macrophages polarize towards different subpopulations with distinct and partly antagonistic functions in various diseases. IFNγ/LPS-polarized M1-type macrophages can have antiangiogenic activity, whereas IL-4-induced M2-type macrophages can be proangiogenic and profibrotic. Therapeutic strategies to inhibit M2-type polarization while promoting M1-type polarization could serve to inhibit pathological angiogenesis and fibrosis. Here, by combining global quantitative time-course proteomics and phosphoproteomics with a small-molecule inhibitor screen we identify signaling events that promote specifically IL-4-induced and not IFNγ/LPS-induced macrophage polarization and found that the MEK inhibitor trametinib and the HDAC inhibitor panobinostat potently prevent M2-type macrophage polarization without inhibiting M1-type polarization. In contrast, selective B-Raf inhibition promotes M2-type polarization. Trametinib and panobinostat also blocked M2-type macrophage polarization and concomitantly angiogenesis and fibrosis in models of wound healing and neovascular age-related macular degeneration in vivo. Thus, these pharmacologic inhibitors could be utilized therapeutically to selectively block IL4-induced macrophage polarization and reduce pathologic angiogenesis and fibrosis.
2021-10-16 | GSE154346 | GEO