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Bossart, J.

Publications and source records attributed to Bossart, J..

4 recordsLinked to original sources

Decoding molecular programs that define macrophage responses to tumor-derived cues

Tumor-associated macrophages (TAMs) comprise functionally diverse states that can suppress anti-tumor immunity and promote tumor progression, yet the tumor microenvironmental cues and signaling programs that generate these states remain incompletely defined. Here, we systematically stimulate primary human monocyte-derived macrophages with a panel of cytokines and metabolites abundant in the tumor microenvironment (TME), and profile their transcriptomic and phosphoproteomic responses to resolve stimulus-specific molecular programs. We observe that potassium (K+) and adenosine (Ado) stimulation, which accumulate in necrotic tumor cores, downregulate antigen-presentation genes and their master regulator CIITA. K+ stimulation results in the upregulated fibronectin 1 expression, associated with immunosuppressive, metastasis-promoting TAM subsets. Ado induces upregulated expression of tryptophan (Trp) catabolism genes, myeloid checkpoints and metallothioneins (MTs). Although MT-high TAM states have been recurrently observed across tumor single cell RNA sequencing studies, their function remains poorly defined. We show that elevated MT expression in tumor tissue is associated with shorter overall survival. By aligning in vitro transcriptomes with single-cell RNA sequencing (scRNA-seq) signatures from a pan-cancer TAM atlas, we identify significant similarities between several in vitro states and clinically observed TAM populations, with Ado-stimulated macrophages closely resembling a MT-expressing TAM cluster. Overall, this work provides a systematic molecular context linking tumor microenvironmental cues to clinically relevant TAM states and offers a framework for recapitulating their functions in vitro. STATEMENT OF SIGNIFICANCEThis study explores how cytokines and metabolites from the tumor microenvironment shape macrophage molecular phenotypes and lead to the upregulation of clinically relevant marker genes and recapitulation of functional states of interest.

immunology↗

Understanding the kinetics of macrophage uptake and the metabolic fate of iron-carbohydrate complexes used for iron deficiency anemia treatment

Iron-carbohydrate complexes (ICCs) are widely used nanomedicines to treat iron deficiency anemia, yet their intracellular fate and the mechanisms of action underlying their differences in treatment outcomes remain poorly understood. Here, we thus performed a comprehensive dynamic characterization of two structurally distinct ICCs - iron sucrose (IS) and ferric carboxymaltose (FCM) - in primary human macrophages, key cells to the iron metabolism. By employing innovative correlative microscopy techniques, elemental analysis, and in vitro pharmacokinetic profiling, we demonstrate that the uptake, intracellular trafficking, and biodegradation of ICCs depend on their physicochemical properties. Specifically, IS is rapidly internalized and processed within endolysosomes, resulting in fast iron release and transient cytotoxicity. Conversely, FCM is sequestered in enlarged endosomes for an extended time before its biodegradation, a phenomenon we term the Hamster Effect, which leads to slower, more sustainable iron release. These results provide unprecedented insights into the metabolic fate of ICCs, enhancing our understanding of their different pharmacokinetic and pharmacodynamic profiles in vivo.

pharmacology and toxicology↗

Mapping the Molecular Landscape of Thyroid Neoplasms: A Comprehensive Proteomic and Phosphoproteomic Analysis Across Tumors of Follicular Origin

Thyroid nodules are a widespread phenomenon, with follicular cell-derived thyroid tumors being the most prevalent type of endocrine tumor, spanning from benign through low grade malignant to aggressive neoplasms with dismal prognosis. In clinical practice, histopathological criteria are primarily used to determine malignancy and aggressiveness. Therefore, accurate classification may result in surgical procedures for diagnostic reasons, associated with an imbalanced risk/benefit ratio. In recent years, the use of integrated proteomic approaches has proven valuable in expanding the molecular understanding of thyroid neoplasms, with implications in classification, yet remains understudied in divergent thyroid nodules. Here we show the delineation of subtype-specific and malignancy-dependent molecular characteristics through integrative proteomic and phosphoproteomic analysis of 53 human thyroid tissues, encompassing five frequent benign and malignant tumors. We found that the (phospho)-proteomic profiles enable a clear stratification of malignant and benign thyroid tissues. The method also performs well in delineating follicular adenoma (FA) and follicular thyroid carcinoma (FTC) samples. Beside the dysregulation of cell cycle control, apoptosis, and metabolic reprogramming associated with tumor development and malignancy, we further report increased alterations within the well-established oncogenic RAS/BRAF/MAPK and AKT/MTOR signaling pathways, which, contrary to the prevailing paradigm, did not clearly differentiate between FTC and papillary thyroid carcinoma (PTC). In addition, activities of ATM, PLK2-3, and GRK5-6 kinases were predicted to be strongly upregulated in malignant subtypes. Together, this study provides an in-depth insight into molecular changes in different thyroid tumor subtypes. These findings highlight the potential of integrated proteomic approaches to refine our understanding of complex diseases like cancer. As such, they offer a pathway to more precise diagnostic and personalized treatment strategies.

bioinformatics↗

Delineation of signaling routes that underlie differences in macrophage phenotypic states

Macrophages represent a major immune cell type in tumor microenvironments, they exist in multiple functional states and are of a strong interest for therapeutic reprogramming. While signaling cascades defining pro-inflammatory macrophages are better characterized, pathways that drive polarization in immunosuppressive macrophages are incompletely mapped. Here, we performed an in-depth characterization of signaling events in primary human macrophages in different functional states using mass spectrometry-based proteomic and phosphoproteomic profiling. Analysis of direct and indirect footprints of kinase activities has suggested PAK2 and PKC kinases as important regulators of in vitro immunosuppressive macrophages (IL-4/IL-13 or IL-10 stimulated). Network integration of these data with the corresesponding transcriptome profiles has further highlighted FOS and NCOR2 as central transcription regulators in immunosuppressive states. Furthermore, we retrieved single cell sequencing datasets for tumors from cancer patients and found that the unbiased signatures identified here through proteomic analysis were able to successfully separate pro-inflammatory macrophage populations in a clinical setting and could thus be used to expand state-specific markers. This study contributes to in-depth multi-omics characterizations of macrophage phenotypic landscapes, which could be valuable for assisting future interventions that therapeutically alter immune cell compartments. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/574349v1_ufig1.gif" ALT="Figure 1"> View larger version (44K): org.highwire.dtl.DTLVardef@1234713org.highwire.dtl.DTLVardef@10f4999org.highwire.dtl.DTLVardef@a8dd60org.highwire.dtl.DTLVardef@5dfb33_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIGlobal proteomic characterization of primary human macrophages in different states C_LIO_LIMapping of main signaling events through in-depth data analysis C_LIO_LIPKC and PAK2 kinases are important regulators of immunosuppressive macrophages C_LIO_LIProteomic signatures enable accurate detection of pro-inflammatory macrophages in patient tumors C_LI

bioinformatics↗