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      Macrophage migration inhibitory factor family proteins are multitasking cytokines in tissue injury

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          Abstract

          The family of macrophage migration inhibitory factor (MIF) proteins in humans consist of MIF, its functional homolog D-dopachrome tautomerase (D-DT, also known as MIF-2) and the relatively unknown protein named DDT-like (DDTL). MIF is a pleiotropic cytokine with multiple properties in tissue homeostasis and pathology. MIF was initially found to associate with inflammatory responses and therefore established a reputation as a pro-inflammatory cytokine. However, increasing evidence demonstrates that MIF influences many different intra- and extracellular molecular processes important for the maintenance of cellular homeostasis, such as promotion of cellular survival, antioxidant signaling, and wound repair. In contrast, studies on D-DT are scarce and on DDTL almost nonexistent and their functions remain to be further investigated as it is yet unclear how similar they are compared to MIF. Importantly, the many and sometimes opposing functions of MIF suggest that targeting MIF therapeutically should be considered carefully, taking into account timing and severity of tissue injury. In this review, we focus on the latest discoveries regarding the role of MIF family members in tissue injury, inflammation and repair, and highlight the possibilities of interventions with therapeutics targeting or mimicking MIF family proteins.

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          Proteomics. Tissue-based map of the human proteome.

          Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Copyright © 2015, American Association for the Advancement of Science.
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            A pathology atlas of the human cancer transcriptome

            Cancer is one of the leading causes of death, and there is great interest in understanding the underlying molecular mechanisms involved in the pathogenesis and progression of individual tumors. We used systems-level approaches to analyze the genome-wide transcriptome of the protein-coding genes of 17 major cancer types with respect to clinical outcome. A general pattern emerged: Shorter patient survival was associated with up-regulation of genes involved in cell growth and with down-regulation of genes involved in cellular differentiation. Using genome-scale metabolic models, we show that cancer patients have widespread metabolic heterogeneity, highlighting the need for precise and personalized medicine for cancer treatment. All data are presented in an interactive open-access database (www.proteinatlas.org/pathology) to allow genome-wide exploration of the impact of individual proteins on clinical outcomes.
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              A subcellular map of the human proteome

              Resolving the spatial distribution of the human proteome at a subcellular level greatly increases our understanding of human biology and disease. Here, we present a comprehensive image-based map of the subcellular protein distribution, the Cell Atlas, built by integrating transcriptomics and antibody-based immunofluorescence microscopy with validation by mass spectrometry. Mapping the in situ localization of 12,003 human proteins at a single-cell level to 30 subcellular structures enabled the definition of 13 major organelle proteomes. Exploration of the proteomes reveals single-cell variations of abundance or spatial distribution, and localization of approximately half of the proteins to multiple compartments. This subcellular map can be used to refine existing protein-protein interaction networks and provides an important resource to deconvolute the highly complex architecture of the human cell.
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                Author and article information

                Contributors
                b.n.melgert@rug.nl
                Journal
                Cell Mol Life Sci
                Cell Mol Life Sci
                Cellular and Molecular Life Sciences
                Springer International Publishing (Cham )
                1420-682X
                1420-9071
                29 January 2022
                29 January 2022
                2022
                : 79
                : 2
                : 105
                Affiliations
                [1 ]GRID grid.4830.f, ISNI 0000 0004 0407 1981, Department of Molecular Pharmacology, Groningen Research Institute of Pharmacy, , University of Groningen, ; Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
                [2 ]GRID grid.4830.f, ISNI 0000 0004 0407 1981, Department of Chemical and Pharmaceutical Biology, Groningen Research Institute of Pharmacy, , University of Groningen, ; Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
                [3 ]GRID grid.4830.f, ISNI 0000 0004 0407 1981, University Medical Center Groningen, Groningen Research Institute of Asthma and COPD, , University of Groningen, ; Hanzeplein 1, 9713 GZ Groningen, The Netherlands
                Author information
                http://orcid.org/0000-0002-0851-8387
                http://orcid.org/0000-0003-0557-9843
                http://orcid.org/0000-0001-7217-9300
                http://orcid.org/0000-0002-6917-6368
                http://orcid.org/0000-0001-7091-907X
                Article
                4038
                10.1007/s00018-021-04038-8
                8799543
                35091838
                3a0d2548-94d5-4f85-a147-4a91fac6f920
                © The Author(s) 2022

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 2 September 2021
                : 10 November 2021
                : 12 November 2021
                Funding
                Funded by: Prof Dr H.W. Frijlink
                Categories
                Review
                Custom metadata
                © Springer Nature Switzerland AG 2022

                Molecular biology
                receptors,binding partners,signal transduction,divergent effects,tissue repair
                Molecular biology
                receptors, binding partners, signal transduction, divergent effects, tissue repair

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