T
Tanja Seibold
Researcher at University of Ulm
Publications - 6
Citations - 31
Tanja Seibold is an academic researcher from University of Ulm. The author has contributed to research in topics: Chemistry & Microvesicles. The author has an hindex of 1, co-authored 4 publications receiving 2 citations.
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Journal ArticleDOI
Small Extracellular Vesicles and Metastasis-Blame the Messenger.
TL;DR: In this paper, a review discusses how tumor cells facilitate progression through the metastatic cascade by employing extracellular vesicles (sEVs, exosomes) based communication and evaluates their role as biomarkers and vehicles for drug delivery.
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Pancreatic Cancer Small Extracellular Vesicles (Exosomes): A Tale of Short- and Long-Distance Communication
TL;DR: In this article, small extracellular vesicles (sEVs, exosomes) were used as biomarkers for diagnosis and prognosis of pancreatic ductal adenocarcinoma (PDAC).
Journal ArticleDOI
Concerted regulation of actin polymerization during constitutive secretion by Cortactin and PKD2
TL;DR: Additional functions for PKD2 (also known as PRKD2) and cortactin are reported in the regulation of actin polymerization during the fission of transport carriers from the TGN by modulating WIP-dependent sequestration of N-WASP.
Journal ArticleDOI
Small Extracellular Vesicles Propagate the Inflammatory Response After Trauma.
Tanja Seibold,Jonathan Schönfelder,Florian Weeber,André Lechel,Milena Armacki,Mareike Waldenmaier,Christoph Wille,Annette Palmer,Rebecca Halbgebauer,Ebru Karasu,Markus Huber-Lang,Miriam Kalbitz,Peter Radermacher,Stephan Paschke,Thomas Seufferlein,Tim Eiseler +15 more
TL;DR: In this article, it was shown that different in vivo traumata, such as TxT or an in vitro polytrauma cytokine cocktail trigger secretion of small extracellular nanoveicles (sEVs) from endothelial cells with pro-inflammatory cargo.
Journal ArticleDOI
Comparative Panel Sequencing of DNA Variants in cf-, ev- and tumorDNA for Pancreatic Ductal Adenocarcinoma Patients
Mareike Waldenmaier,Lucas-Alexander Schulte,Jonathan Schönfelder,Axel Fürstberger,Johann M. Kraus,Nora Daiss,Tanja Seibold,Mareen Morawe,Thomas J. Ettrich,Hans A. Kestler,Christoph Kahlert,Thomas Seufferlein,Tim Eiseler +12 more
TL;DR: A combination of ev- and cfDNA was clearly superior for SNV detection, as compared to either single analyte, thus potentially improving actionable variant prediction upon further optimization, and Stringent bioinformatic processing revealed a significant advantage of evDNA with respect to cfDNA concerning detection performance for SNVs and a numerical increase for indels.