Výsledky vyhledávání - "Max Schelker"

Akademický článek

Estimation of immune cell content in tumour tissue using single-cell RNA-seq data

Autor: Max Schelker, Sonia Feau, Jinyan Du, Nav Ranu, Edda Klipp, Gavin MacBeath, Birgit Schoeberl, Andreas Raue

Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-12 (2017)

Mathematical approaches can be used to assess immune cell composition from the tumour's bulk expression data. Here the authors optimise the CYBERSORT-based deconvolution algorithm by including cell type-specific reference gene expression profiles gen

Externí odkaz: https://doaj.org/article/5c63f788f9dd4251a8c28f805ab97385

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Akademický článek

Viral RNA Degradation and Diffusion Act as a Bottleneck for the Influenza A Virus Infection Efficiency.

Autor: Max Schelker, Caroline Maria Mair, Fabian Jolmes, Robert-William Welke, Edda Klipp, Andreas Herrmann, Max Flöttmann, Christian Sieben

Publikováno v: PLoS Computational Biology, Vol 12, Iss 10, p e1005075 (2016)

After endocytic uptake, influenza viruses transit early endosomal compartments and eventually reach late endosomes. There, the viral glycoprotein hemagglutinin (HA) triggers fusion between endosomal and viral membrane, a critical step that leads to r

Externí odkaz: https://doaj.org/article/602d7560243d42a5afa2d5686a9516bf

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Akademický článek

Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells.

Autor: Ruth Merkle, Bernhard Steiert, Florian Salopiata, Sofia Depner, Andreas Raue, Nao Iwamoto, Max Schelker, Helge Hass, Marvin Wäsch, Martin E Böhm, Oliver Mücke, Daniel B Lipka, Christoph Plass, Wolf D Lehmann, Clemens Kreutz, Jens Timmer, Marcel Schilling, Ursula Klingmüller

Publikováno v: PLoS Computational Biology, Vol 12, Iss 8, p e1005049 (2016)

Lung cancer, with its most prevalent form non-small-cell lung carcinoma (NSCLC), is one of the leading causes of cancer-related deaths worldwide, and is commonly treated with chemotherapeutic drugs such as cisplatin. Lung cancer patients frequently s

Externí odkaz: https://doaj.org/article/724eba5340384044873f0cb9c11404ad

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Akademický článek

Lessons learned from quantitative dynamical modeling in systems biology.

Autor: Andreas Raue, Marcel Schilling, Julie Bachmann, Andrew Matteson, Max Schelker, Daniel Kaschek, Sabine Hug, Clemens Kreutz, Brian D Harms, Fabian J Theis, Ursula Klingmüller, Jens Timmer

Publikováno v: PLoS ONE, Vol 8, Iss 9, p e74335 (2013)

Due to the high complexity of biological data it is difficult to disentangle cellular processes relying only on intuitive interpretation of measurements. A Systems Biology approach that combines quantitative experimental data with dynamic mathematica

Externí odkaz: https://doaj.org/article/51b4b8a459aa41d087424ebbaa1e71d4

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Akademický článek

Correction: Lessons Learned from Quantitative Dynamical Modeling in Systems Biology.

Autor: Andreas Raue, Marcel Schilling, Julie Bachmann, Andrew Matteson, Max Schelker, Daniel Kaschek, Sabine Hug, Clemens Kreutz, Brian D. Harms, Fabian J. Theis, Ursula Klingmüller, Jens Timmer

Publikováno v: PLoS ONE, Vol 8, Iss 12 (2013)

Externí odkaz: https://doaj.org/article/3f53bce07a9d4110a6f9eb2e57591fc3

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Estimation of immune cell content in tumour tissue using single-cell RNA-seq data

Autor: Birgit Schoeberl, Max Schelker, Edda Klipp, Nav Ranu, Sonia Feau, Jinyan Du, Gavin MacBeath, Andreas Raue

Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-12 (2017)
Nature Communications

As interactions between the immune system and tumour cells are governed by a complex network of cell–cell interactions, knowing the specific immune cell composition of a solid tumour may be essential to predict a patient’s response to immunothera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42a0d1260a2f17e291a307490ab0bf20
http://link.springer.com/article/10.1038/s41467-017-02289-3

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Viral RNA Degradation and Diffusion Act as a Bottleneck for the Influenza A Virus Infection Efficiency

Autor: Andreas Herrmann, Max Flöttmann, Christian Sieben, Edda Klipp, Fabian Jolmes, Max Schelker, Robert-William Welke, Caroline M. Mair

Publikováno v: PLoS Computational Biology, Vol 12, Iss 10, p e1005075 (2016)
PLoS Computational Biology

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf8ecb3cbe8edbefb54f4de855208d2
http://europepmc.org/articles/PMC5079570?pdf=render

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