0000000000185792
AUTHOR
Petra Leidinger
showing 5 related works from this author
DrugTargetInspector: An assistance tool for patient treatment stratification
2016
Cancer is a large class of diseases that are characterized by a common set of features, known as the Hallmarks of cancer. One of these hallmarks is the acquisition of genome instability and mutations. This, combined with high proliferation rates and failure of repair mechanisms, leads to clonal evolution as well as a high genotypic and phenotypic diversity within the tumor. As a consequence, treatment and therapy of malignant tumors is still a grand challenge. Moreover, under selective pressure, e.g., caused by chemotherapy, resistant subpopulations can emerge that then may lead to relapse. In order to minimize the risk of developing multidrug-resistant tumor cell populations, optimal (comb…
Erratum to: miRNAs and sports: tracking training status and potentially confounding diagnoses
2016
Erratum to: J Transl Med (2016) 14:219 DOI 10.1186/s12967-016-0974-x Unfortunately, the original version of this article [1] contained an error. The name of the author [Farbod Sedaghat] was incorrect, the author's surname should be Sedaghat-Hamedani. The author's name is Farbod Sedaghat-Hamedani.
EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research
2017
We argue that the field of extracellular vesicle (EV) biology needs more transparent reporting to facilitate interpretation and replication of experiments. To achieve this, we describe EV-TRACK, a crowdsourcing knowledgebase (http://evtrack.org) that centralizes EV biology and methodology with the goal of stimulating authors, reviewers, editors and funders to put experimental guidelines into practice.
Integrated quantitative proteomic and transcriptomic analysis of lung tumor and control tissue: a lung cancer showcase
2015
Proteomics analysis of paired cancer and control tissue can be applied to investigate pathological processes in tumors. Advancements in data-independent acquisition mass spectrometry allow for highly reproducible quantitative analysis of complex proteomic patterns. Optimized sample preparation workflows enable integrative multi-omics studies from the same tissue specimens. We performed ion mobility enhanced, data-independent acquisition MS to characterize the proteome of 21 lung tumor tissues including adenocarcinoma and squamous cell carcinoma (SCC) as compared to control lung tissues of the same patient each. Transcriptomic data were generated for the same specimens. The quantitative prot…
miRNAs and sports: tracking training status and potentially confounding diagnoses.
2016
Background The dependency of miRNA abundance from physiological processes such as exercises remains partially understood. We set out to analyze the effect of physical exercises on miRNA profiles in blood and plasma of endurance and strength athletes in a systematic manner and correlated differentially abundant miRNAs in athletes to disease miRNAs biomarkers towards a better understanding of how physical exercise may confound disease diagnosis by miRNAs. Methods We profiled blood and plasma of 29 athletes before and after exercise. With four samples analyzed for each individual we analyzed 116 full miRNomes. The study set-up enabled paired analyses of individuals. Affected miRNAs were invest…