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  1. Book ; Online ; Thesis: The different functions of sEV-derived miR-574-5p in PGE2-dependent tumors correlate with the tetraspanin composition on the sEV envelope

    Proestler, Eva [Verfasser] / Saul, Meike [Akademischer Betreuer] / Süß, Beatrix [Akademischer Betreuer]

    2023  

    Author's details Eva Pröstler ; Meike Julia Saul, Beatrix Süß
    Keywords Biowissenschaften, Biologie ; Life Science, Biology
    Subject code sg570
    Language English
    Publisher Universitäts- und Landesbibliothek
    Publishing place Darmstadt
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  2. Article: The multiple functions of miR-574-5p in the neuroblastoma tumor microenvironment.

    Proestler, Eva / Donzelli, Julia / Nevermann, Sheila / Breitwieser, Kai / Koch, Leon F / Best, Tatjana / Fauth, Maria / Wickström, Malin / Harter, Patrick N / Kogner, Per / Lavieu, Grégory / Larsson, Karin / Saul, Meike J

    Frontiers in pharmacology

    2023  Volume 14, Page(s) 1183720

    Abstract: Neuroblastoma is the most common extracranial solid tumor in childhood and arises from neural crest cells of the developing sympathetic nervous system. Prostaglandin ... ...

    Abstract Neuroblastoma is the most common extracranial solid tumor in childhood and arises from neural crest cells of the developing sympathetic nervous system. Prostaglandin E
    Language English
    Publishing date 2023-09-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1183720
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Detailed Characterization of Small Extracellular Vesicles from Different Cell Types Based on Tetraspanin Composition by ExoView R100 Platform.

    Breitwieser, Kai / Koch, Leon F / Tertel, Tobias / Proestler, Eva / Burgers, Luisa D / Lipps, Christoph / Adjaye, James / Fürst, Robert / Giebel, Bernd / Saul, Meike J

    International journal of molecular sciences

    2022  Volume 23, Issue 15

    Abstract: Small extracellular vesicles (sEV) hold enormous potential as biomarkers, drug carriers, and therapeutic agents. However, due to previous limitations in the phenotypic characterization of sEV at the single vesicle level, knowledge of cell type-specific ... ...

    Abstract Small extracellular vesicles (sEV) hold enormous potential as biomarkers, drug carriers, and therapeutic agents. However, due to previous limitations in the phenotypic characterization of sEV at the single vesicle level, knowledge of cell type-specific sEV signatures remains sparse. With the introduction of next-generation sEV analysis devices, such as the single-particle interferometric reflectance imaging sensor (SP-IRIS)-based ExoView R100 platform, single sEV analyses are now possible. While the tetraspanins CD9, CD63, and CD81 were generally considered pan-sEV markers, it became clear that sEV of different cell types contain several combinations and amounts of these proteins on their surfaces. To gain better insight into the complexity and heterogeneity of sEV, we used the ExoView R100 platform to analyze the CD9/CD63/CD81 phenotype of sEV released by different cell types at a single sEV level. We demonstrated that these surface markers are sufficient to distinguish cell-type-specific sEV phenotypes. Furthermore, we recognized that tetraspanin composition in some sEV populations does not follow a random pattern. Notably, the tetraspanin distribution of sEV derived from mesenchymal stem cells (MSCs) alters depending on cell culture conditions. Overall, our data provide an overview of the cell-specific characteristics of sEV populations, which will increase the understanding of sEV physiology and improve the development of new sEV-based therapeutic approaches.
    MeSH term(s) Biomarkers/metabolism ; Extracellular Vesicles/metabolism ; Mesenchymal Stem Cells/metabolism ; Tetraspanin 30/metabolism ; Tetraspanins/metabolism
    Chemical Substances Biomarkers ; Tetraspanin 30 ; Tetraspanins
    Language English
    Publishing date 2022-08-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms23158544
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Small extracellular vesicle-derived miR-574-5p regulates PGE2-biosynthesis via TLR7/8 in lung cancer.

    Donzelli, Julia / Proestler, Eva / Riedel, Anna / Nevermann, Sheila / Hertel, Brigitte / Guenther, Andreas / Gattenlöhner, Stefan / Savai, Rajkumar / Larsson, Karin / Saul, Meike J

    Journal of extracellular vesicles

    2021  Volume 10, Issue 12, Page(s) e12143

    Abstract: Intercellular communication plays an essential role in lung cancer (LC). One of the major players in cell-cell-communication is small extracellular vesicles (sEV). SEV trigger various biological responses by transporting cellular cargo to target cells. ... ...

    Abstract Intercellular communication plays an essential role in lung cancer (LC). One of the major players in cell-cell-communication is small extracellular vesicles (sEV). SEV trigger various biological responses by transporting cellular cargo to target cells. One essential sEV component are microRNAs (miRs), whose transport has recently attracted increasing research interest. We report that prostaglandin E
    MeSH term(s) Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/pathology ; Cell Line, Tumor ; Extracellular Vesicles/metabolism ; Humans ; Lung Neoplasms/genetics ; Lung Neoplasms/pathology ; Toll-Like Receptor 7/metabolism ; Transfection
    Chemical Substances TLR7 protein, human ; Toll-Like Receptor 7
    Language English
    Publishing date 2021-10-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2683797-3
    ISSN 2001-3078 ; 2001-3078
    ISSN (online) 2001-3078
    ISSN 2001-3078
    DOI 10.1002/jev2.12143
    Database MEDical Literature Analysis and Retrieval System OnLINE

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