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Myeloid-derived suppressor cells and tolerogenic dendritic cells are distinctively induced by PI3K and Wnt signaling pathways

ABSTRACT: Understanding the molecular mechanisms that initiate and control immunosuppression by myeloid cells is essential to overcoming the myeloid-induced disbalance of the immune system observed in patients. Myeloid cells are implicated in aggravated suppression of immunity as seen in cancer as well as in defective modulation of immune responses as observed in autoimmunity. Therefore, signaling pathways controlling immunomodulation by myeloid cells are an attractive target to potentially restore immune homeostasis and increase clinical benefit for a large number of patients. Here, we used label-free quantitative proteomics to identify proteins that are differentially expressed between different myeloid cells (myeloid-derived suppressor cells (MDSCs), tolerogenic dendritic cells (TolDCs), monocyte-derived dendritic cells (MoDCs) and precursor monocytes.

INSTRUMENT(S): Orbitrap Exploris 480

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Cell, Dendritic Cell, Cell Culture, Blood

DISEASE(S): Head And Neck Squamous Cell Carcinoma

SUBMITTER: S Stelloo

LAB HEAD: Michiel Vermeulen

PROVIDER: PXD027715 | Pride | 2023-09-20

REPOSITORIES: Pride

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			Action	DRS
	20210520_Exploris1_SA_Suz_11_DON_A_mono.raw	Raw
	20210520_Exploris1_SA_Suz_15_DON_B_mono.raw	Raw
	20210520_Exploris1_SA_Suz_19_DON_C_mono.raw	Raw
	20210520_Exploris1_SA_Suz_1_HNSCC25_mono.raw	Raw
	20210520_Exploris1_SA_Suz_23_HNSCC29_mono.raw	Raw

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Project description:Myeloid-derived suppressor cells (MDSCs) are immature myeloid cells that accumulate in the tumor microenvironment of most cancer patients. There MDSCs suppress both adaptive and innate immune responses, hindering immunotherapies. Moreover, many cancers are accompanied by inflammation, a processes that further intensifies MDSC suppressive activity, causing aggressive tumor progression and metastasis. MDSCs collected from tumor-bearing mice profusely release nano-scale membrane-bound extracellular vesicles, called exosomes, which carry biologically active proteins between cells and contribute directly to the immune suppressive functions of MDSC. Many studies on other cell types have shown that exosomes may also carry microRNAs (miRNAs) and messenger RNAs (mRNAs) which can also be transferred to surrounding and distant cells. However, to the best of our knowledge, the miRNA and mRNA cargo of MDSC-derived exosomes has not yet been interrogated. This study aims to identify and quantify the cargo of MDSC and their immunosuppressive exosomes to gather knowledge that can offer insights on the mechanisms by which MDSCs contribute to immune suppression, focusing on the role of exosomes as intercellular communication mediators in the tumor microenvironment. In order to achieve our objective a well-established mouse model based on a conventional mammary carcinoma (4T1 cells) and heightened inflammation (4T1 transduced to express the cytokine interleukin-1b) was used. We provide evidence that MDSC-derived exosomes carry proteins, mRNAs and miRNAs. Relative quantitation demonstrated quantitative differences between the exosome cargo and the cargo of their parental cells, supporting the hypothesis that selective loading into the exosomes is possible. Additionally, quantitative and functional analyses of the exosome cargo generated under conventional and heightened inflammation conditions are consistent with clinical observations that inflammation is linked to cancer development.

Project description:Human monocyte-derived dendritic cells (moDCs) have been used as an in vitro model for studying tolerance and immunity. However, the underlying metabolic states of tolerogenic (dexamethasone and vitamin D3-treated), immature and immunogenic (mature, LPS-treated) moDCs have not been completely characterized. Through transcriptomic analyses, we determined that tolerogenic moDCs exhibit augmented catabolic pathways with respect to oxidative phosphorylation (OXPHOS), fatty acid oxidation (FAO) and glycolysis. Functionally, tolerogenic moDCs showed the highest mitochondrial membrane potential, production of reactive oxygen species and superoxide, and increased mitochondrial spare respiratory capacity. Tolerogenic and mature moDCs manifested differential FAO gene expression with FAO activity being significantly higher in tolerogenic and immature moDCs than in mature. In addition, tolerogenic and mature moDCs demonstrated similar levels of glycolytic rate, but not glycolytic capacity and reserve, which were more pronounced in tolerogenic and immature moDCs. Finally, tolerogenic and immature moDCs, but not mature moDCs, showed high plasticity to compensate the intracellular ATP content after inhibition of different energetic metabolic pathways. Overall, tolerogenic moDCs exhibit a metabolic signature of increased, stable OXPHOS programing and high plasticity for metabolic adaptation. These findings provide a framework for future research of metabolic properties of human DCs. Total RNA of sixteen samples from four moDC types (tolerogenic, LPS-tolerogenic, immature and mature) were extracted by Trizol (Invitrogen) followed by a clean-up procedure using RNeasy Micro Kit (Qiagen). All RNA samples had an integrity number ≥9.6 assessed by Agilent Bioanalyzer. Total RNA samples were amplified using TargetAmp™ and the biotinilated cRNA was prepared by Nano-g™ Biotin-aRNA Labeling Kit for the Illumina® System (Epicentre). After the hybridization to the Illumina Human HT-12 v4 Beadchips for 17 h at 58°C, the arrays were washed, stained (Illumina Wash Protocol) and then scanned using BeadArray Scanner 500GX. Array data were extracted at the probe level without background correction using Illumina GenomeStudio software. These raw data were quantile normalized and log2 transformed. Technical replicates were obtained from the hybridization in duplicate of three samples. Pearson correlation analysis showed high correlation between the technical replicates (r>0.99). Differentially expressed genes (DEGs) were identified using Limma16 with Benjamini-Hochberg multiple testing correction (p<0.05). DEGs were further clustered into different groups according to the patterns of expression change among the different moDC types using STEM software17. The analysis was performed in R v.2.12.2 (http://www.R-project.org) with Bioconductor 2.12 (http://www.bioconductor.org) and enabled by Pipeline Pilot (www.accelrys.com).

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Myeloid-derived suppressor cells and tolerogenic dendritic cells are distinctively induced by PI3K and Wnt signaling pathways

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