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      MacroH2A1.1 as a crossroad between epigenetics, inflammation and metabolism of mesenchymal stromal cells in myelodysplastic syndromes

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          Abstract

          Ineffective hematopoiesis is a hallmark of myelodysplastic syndromes (MDS). Hematopoietic alterations in MDS patients strictly correlate with microenvironment dysfunctions, eventually affecting also the mesenchymal stromal cell (MSC) compartment. Stromal cells are indeed epigenetically reprogrammed to cooperate with leukemic cells and propagate the disease as “tumor unit”; therefore, changes in MSC epigenetic profile might contribute to the hematopoietic perturbations typical of MDS. Here, we unveil that the histone variant macroH2A1 (mH2A1) regulates the crosstalk between epigenetics and inflammation in MDS-MSCs, potentially affecting their hematopoietic support ability. We show that the mH2A1 splicing isoform mH2A1.1 accumulates in MDS-MSCs, correlating with the expression of the Toll-like receptor 4 (TLR4), an important pro-tumor activator of MSC phenotype associated to a pro-inflammatory behavior. MH2A1.1-TLR4 axis was further investigated in HS-5 stromal cells after ectopic mH2A1.1 overexpression (mH2A1.1-OE). Proteomic data confirmed the activation of a pro-inflammatory signature associated to TLR4 and nuclear factor kappa B (NFkB) activation. Moreover, mH2A1.1-OE proteomic profile identified several upregulated proteins associated to DNA and histones hypermethylation, including S-adenosylhomocysteine hydrolase, a strong inhibitor of DNA methyltransferase and of the methyl donor S-adenosyl-methionine (SAM). HPLC analysis confirmed higher SAM/SAH ratio along with a metabolic reprogramming. Interestingly, an increased LDHA nuclear localization was detected both in mH2A1.1-OE cells and MDS-MSCs, probably depending on MSC inflammatory phenotype. Finally, coculturing healthy mH2A1.1-OE MSCs with CD34 + cells, we found a significant reduction in the number of CD34 + cells, which was reflected in a decreased number of colony forming units (CFU-Cs). These results suggest a key role of mH2A1.1 in driving the crosstalk between epigenetic signaling, inflammation, and cell metabolism networks in MDS-MSCs.

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          Most cited references71

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          STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

          Abstract Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein–protein associations is incomplete and exhibits varying levels of annotation granularity and reliability. The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions. The latest version of STRING (11.0) more than doubles the number of organisms it covers, to 5090. The most important new feature is an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input. For the enrichment analysis, STRING implements well-known classification systems such as Gene Ontology and KEGG, but also offers additional, new classification systems based on high-throughput text-mining as well as on a hierarchical clustering of the association network itself. The STRING resource is available online at https://string-db.org/.
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            Chromatin modifications and their function.

            The surface of nucleosomes is studded with a multiplicity of modifications. At least eight different classes have been characterized to date and many different sites have been identified for each class. Operationally, modifications function either by disrupting chromatin contacts or by affecting the recruitment of nonhistone proteins to chromatin. Their presence on histones can dictate the higher-order chromatin structure in which DNA is packaged and can orchestrate the ordered recruitment of enzyme complexes to manipulate DNA. In this way, histone modifications have the potential to influence many fundamental biological processes, some of which may be epigenetically inherited.
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              Revised international prognostic scoring system for myelodysplastic syndromes.

              The International Prognostic Scoring System (IPSS) is an important standard for assessing prognosis of primary untreated adult patients with myelodysplastic syndromes (MDS). To refine the IPSS, MDS patient databases from international institutions were coalesced to assemble a much larger combined database (Revised-IPSS [IPSS-R], n = 7012, IPSS, n = 816) for analysis. Multiple statistically weighted clinical features were used to generate a prognostic categorization model. Bone marrow cytogenetics, marrow blast percentage, and cytopenias remained the basis of the new system. Novel components of the current analysis included: 5 rather than 3 cytogenetic prognostic subgroups with specific and new classifications of a number of less common cytogenetic subsets, splitting the low marrow blast percentage value, and depth of cytopenias. This model defined 5 rather than the 4 major prognostic categories that are present in the IPSS. Patient age, performance status, serum ferritin, and lactate dehydrogenase were significant additive features for survival but not for acute myeloid leukemia transformation. This system comprehensively integrated the numerous known clinical features into a method analyzing MDS patient prognosis more precisely than the initial IPSS. As such, this IPSS-R should prove beneficial for predicting the clinical outcomes of untreated MDS patients and aiding design and analysis of clinical trials in this disease.
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                Author and article information

                Contributors
                sebastiano.giall@gmail.com
                livolti@unict.it
                Journal
                Cell Death Dis
                Cell Death Dis
                Cell Death & Disease
                Nature Publishing Group UK (London )
                2041-4889
                18 October 2023
                18 October 2023
                October 2023
                : 14
                : 10
                : 686
                Affiliations
                [1 ]Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, ( https://ror.org/03a64bh57) Catania, Italy
                [2 ]GRID grid.412844.f, ISNI 0000 0004 1766 6239, Division of Hematology, , AOU Policlinico, ; Catania, Italy
                [3 ]Department of General Surgery and Medical-Surgical Specialties, University of Catania, ( https://ror.org/03a64bh57) Catania, Italy
                [4 ]GRID grid.412451.7, ISNI 0000 0001 2181 4941, Department of Innovative Technologies and Medicine & Odontoiatry, , University G. D’Annunzio, ; Chieti-Pescara, Italy
                [5 ]Analytical Biochemistry and Proteomics Laboratory, Center for Advanced Studies and Technology (CAST), “G. d’Annunzio” University of Chieti-Pescara, ( https://ror.org/00qjgza05) Chieti, Italy
                [6 ]Department of Biomedical and Biotechnological Sciences, University of Catania, ( https://ror.org/03a64bh57) Catania, Italy
                [7 ]Departmental Faculty of Medicine and Surgery, UniCamillus-Saint Camillus International University of Health and Medical Sciences, ( https://ror.org/00qvkm315) Rome, Italy
                [8 ]Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, ( https://ror.org/02kqnpp86) Naples, Italy
                [9 ]GRID grid.428067.f, ISNI 0000 0004 4674 1402, Laboratory of Precision and Molecular Oncology, Biogem Scarl, , Institute of Genetic Research, ; Ariano Irpino, Italy
                [10 ]GRID grid.462410.5, ISNI 0000 0004 0386 3258, Faculty of Health, , University Paris Est Créteil, INSERM, IMRB, ; Créteil, France
                Author information
                http://orcid.org/0000-0002-5047-7515
                http://orcid.org/0000-0003-2576-6523
                http://orcid.org/0000-0003-2408-6091
                http://orcid.org/0000-0003-4636-7695
                http://orcid.org/0009-0006-5104-956X
                http://orcid.org/0000-0002-8678-2183
                http://orcid.org/0000-0002-4416-8556
                Article
                6197
                10.1038/s41419-023-06197-x
                10584900
                37852977
                5a6a3d89-b916-4c08-8e43-ea421c01d1d1
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 February 2023
                : 15 September 2023
                : 28 September 2023
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                © Associazione Differenziamento e Morte Cellulare ADMC 2023

                Cell biology
                proteomics,epigenetics
                Cell biology
                proteomics, epigenetics

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