Publikationen Dr. Meik Kunz

 

2022

Royzman D et.alii (Kunz M):
Soluble CD83 improves and accelerates wound healing by the induction of pro-resolving macrophages.
Frontiers im immunology 2022 (ePub 30. Sep. 2022). doi: 10.3389/fimmu.2022.1012647.

Royzman D, et.alii (Kunz M):
The soluble CD83 protein prevents bone destruction by inhibiting the formation of osteoclasts and inducing resolution of inflammation in arthritis.
Frontiers in immunology 2022 (ePub 8. Aug. 2022). doi: 10.3389/fimmu.2022.936995.

Schmidt A, et.alii (Kunz M):
Deciphering pro-angiogenic transcription factor profiles in hypoxic human endothelial cells by combined bioinformatics and in vitro modeling.
Frontiers in cardiovascular medicine 2022 (e Pub 17. Juni 2022). doi: 10.3389/fcvm.2022.877450.

Karl-Schöller F, Kunz M, Kreß L, Held M, Egenolf N, Wiesner A, Dandekar T, Sommer C, Üçeyler N:
A translational study: Involvement of miR-21-5p in development and maintenance of neuropathic pain via immune-related targets CCL5 and YWHAE.
Experimental neurology 2022 (ePub 7. Nov. 2022). doi: 10.1016/j.expneurol.2021.113915.

2021

Hatscher L, Lehmann ChrHK, Onderka C, Liang Ch, Hartmann A, Cesnjevar R, Bruns H, Gross H, Nimmerjahn F, Ivanović-Burmazović I, Kunz M, Heger L, Dudziak D: Select hyperactivating NLRP3 ligands enhance the T H 1- and T H 17-inducing potential of human type 2 conventional dendritic cells. Science signaling 14.2021: eabe1757. doi: 10.1126/scisignal.abe1757 | https://pubmed.ncbi.nlm.nih.gov/33906973/

Stürzl M, Kunz M, Krug SM, Naschberger E: Angiocrine regulation of Epithelial barrier integrity in inflammatory bowel disease. Frontiers in medicine 8.2021: 643607. doi: 10.3389/fmed.2021.643607 | https://pubmed.ncbi.nlm.nih.gov/34127686/

Stojanović St, Fuchs M, Liang Ch, Schmidt K, Xiao K, Just A, Pfanne A, Pich A, Warnecke G, Braubach P, Petzold Chr, Jonigk D, Distler JHW, Fiedler J, Thum Th, Kunz M: Reconstruction of the miR-506-Quaking axis in Idiopathic Pulmonary Fibrosis using integrative multi-source bioinformatics. Scientific reports 11.2021,1: 12456. doi: 10.1038/s41598-021-89531-7 | https://pubmed.ncbi.nlm.nih.gov/34409045/

März J, Kurlbaum M, Roche-Lancaster O, Deutschbein T, Peitzsch M, Prehn C, Weismann D, Robledo M, Adamski J, Fassnacht M, Kunz M, Kroiss M: Plasma metabolome profiling for the diagnosis of catecholamine producing tumors. Frontiers in endocrinology 12.2021: 722656. doi: 10.3389/fendo.2021.722656 | https://pubmed.ncbi.nlm.nih.gov/34557163/

Faas M, Ipseiz N, Ackermann J, Culemann St, Grüneboom A, Schröder F, Rothe T, Scholtysek C, Eberhardt M, Böttcher M, Kirchner Ph, Stoll C, Ekici A, Fuchs M, Kunz M, Weigmann B, Wirtz St, Lang R, Hofmann J, Vera J, Voehringer D, Michelucci A, Mougiakakos D, Uderhardt St, Schett, Krönke G: IL-33-induced metabolic reprogramming controls the differentiation of alternatively activated macrophages and the resolution of inflammation. Immunity 21.2021: S1074-7613(21)00395-2. doi: 10.1016/j.immuni.2021.09.010 | https://pubmed.ncbi.nlm.nih.gov/34644537/

Sonnenschein Kr, Stojanović St, Dickel N, Fiedler J, Bauersachs J, Thum Th, Kunz M, Tongers J: Artificial intelligence identifies an urgent need for peripheral vascular intervention by multiplexing standard clinical parameters. Biomedicines 9.2021,10: 1456. doi: 10.3390/biomedicines9101456 | https://pubmed.ncbi.nlm.nih.gov/34680572

Györfi AH, Matei AE, Fuchs M, Liang Ch, Rigau AR, Hong X, Zhu H, Luber M, Bergmann Chr, Dees C, Ludolph I, Horch RE, Distler O, Wang J, Bengsch B, Schett G, Kunz M, Distler JHW: Engrailed 1 coordinates cytoskeletal reorganization to induce myofibroblast differentiation. Journal of experimental medicine 218.2021,9: e20201916. doi: 10.1084/jem.20201916 | https://pubmed.ncbi.nlm.nih.gov/34259830/#affiliation-3

Kühnemund J, Leifeld H, Scherg F, Schmitt M, Nelke L, Schmitt T, Baur F, Göttlich C, Fuchs M, Kunz M, Peindl M, Brähler C, Kronenthaler C, Wischhusen J, Prelog M, Walles, Dandekar Th, Dandekar G, Nietzer SL: Modular micro-physiological human tumor/tissue models based on decellularized tissue for improved preclinical testing. ALTEX (ePub 11. Dezember 2020). DOI: 10.14573/altex.2008141 | https://pubmed.ncbi.nlm.nih.gov/33313956/

von Heydebrand F, Fuchs M, Kunz M, Voelkl S, Kremer AN, Oostendorp RAJ, Wilke J. Leitges M, Egle A, Mackensen A, Lutzny-Geier G: Protein kinase C-β-dependent changes in the glucose metabolism of bone marrow stromal cells of chronic lymphocytic leukemia. Stem cells (ePub 4. Februar 2021). DOI:10.1002/stem.3352  | https://pubmed.ncbi.nlm.nih.gov/33539629

2020

  • Stojanović StD, Fuchs M, Fiedler J, Xiao K, Meinecke A, Just A, Pich A, Thum Th, Kunz M: Comprehensive bioinformatics identifies key microRNA players in ATG7-deficient lung fibroblasts. International journal of molecular science 21.2020,11: 4126. https://doi.org/10.3390/ijms21114126 | https://www.mdpi.com/1422-0067/21/11/4126 
  • Stojanović StD, Fuchs M, Kunz M, Xiao K, Just A, Pich A, Bauersachs J, Fiedler J, Sedding D: Inflammatory drivers of cardiovascular disease: Molecular characterization of senescent coronary vascular smooth muscle cells. Frontiers in physiology (ePub 25. Mai 2020) https://doi.org/10.3389/fphys.2020.00520 | https://www.frontiersin.org/articles/10.3389/fphys.2020.00520/full
  • Kann S, Kunz M, Hansen J, Sievertsen J, Crespo JJ, Loperena A, Arriens S, Dandekar T: Chagas disease: Detection of trypanosoma cruzi by a new, high-specific real time PCR. Journal of clinical medicine 9.2020,5: 1517. https://www.mdpi.com/2077-0383/9/5/1517 | https://doi.org/10.3390/jcm9051517
  • Baur F, Nietzer SL, Kunz M, Saal F, Jeromin J, Matschos S, Linnebacher M, Walles H, Dandekar T, Dandekar G: Connecting cancer pathways to tumor engines: A stratification tool for colorectal cancer combining human in vitro tissue models with Boolean in silico models. Cancers 12.2020,1: 1-30. https://doi.org/10.3390/cancers12010028 | https://www.mdpi.com/2072-6694/12/1/28
  • Kunz M, Wolf B, Fuchs M, Christoph J, Xiao K, Thum T, Atlan D, Prokosch HU, Dandekar T: A comprehensive method protocol for annotation and integrated functional understanding of lncRNAs. Briefings in bioinformatics Oct. 2019: bbz066. doi: 10.1093/bib/bbz066 | https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbz066/5553031.
  • Vey J, Kapsner LA, Fuchs M, Unberath P, Veronesi G, Kunz M: A toolbox for functional analysis and the systematic identification of diagnostic and prognostic gene expression signatures combining meta-analysis and machine learning. Cancers 11.2019,10: E1606. doi: 10.3390/cancers11101606 | https://www.mdpi.com/2072-6694/11/10/1606.
  • Schweitzer S, Kunz M, Kurlbaum M, Vey J, Kendl S, Deutschbein T, Hahner S, Fassnacht M, Dandekar T, Kroiss M: Plasma steroid metabolome profiling for the diagnosis of adrenocortical carcinoma. European journal of endocrinology 180.2019,2: 117-125. doi: 10.1530/EJE-18-078 | https://eje.bioscientifica.com/view/journals/eje/180/2/EJE-18-0782.xml.
  • Sbiera S, Kunz M, Weigand I, Deutschbein T, Dandekar T, Fassnacht M: The new genetic landscape of cushing’s disease: Deubiquitinases in the spotlight. Cancers 11.2919: Art. 1761. https://doi.org/10.3390/cancers11111761 | https://www.mdpi.com/2072-6694/11/11/1761.
  • Kunz M, Jeromin J, Fuchs M, Christoph J, Veronesi G, Flentje M, Nietzer S, Dandekar G, Dandekar T: In silico signaling modeling to understand cancer pathways and treatment responses. Brief Bioinform (ePub 15. April 2019) bbz033. https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbz033/5450331 | https://doi.org10.1093/bib/bbz033
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