Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maria Wahle"'
Autor:
Giorgia Massacci, Veronica Venafra, Maximilian Zwiebel, Maria Wahle, Rocco Cerroni, Jacopo Bissacco, Livia Perfetto, Vito Michienzi, Alessandro Stefani, Nicola Biagio Mercuri, Tommaso Schirinzi, Francesca Sacco
Publikováno v:
Neurobiology of Disease, Vol 200, Iss , Pp 106622- (2024)
The complexity and heterogeneity of PD necessitate advanced diagnostic and prognostic tools to elucidate its molecular mechanisms accurately. In this study, we addressed this challenge by conducting a pilot phospho-proteomic analysis of peripheral bl
Externí odkaz:
https://doaj.org/article/950cc03d9ec44c17b6dac7150ecc5c5c
Autor:
Marvin Thielert, Ericka CM Itang, Constantin Ammar, Florian A Rosenberger, Isabell Bludau, Lisa Schweizer, Thierry M Nordmann, Patricia Skowronek, Maria Wahle, Wen‐Feng Zeng, Xie‐Xuan Zhou, Andreas‐David Brunner, Sabrina Richter, Mitchell P Levesque, Fabian J Theis, Martin Steger, Matthias Mann
Publikováno v:
Molecular Systems Biology, Vol 19, Iss 9, Pp n/a-n/a (2023)
Abstract Single‐cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput, and robustness, which we address here by a streamline
Externí odkaz:
https://doaj.org/article/31e6f44353a34972902d11ba35f80b5e
Autor:
Wen-Feng Zeng, Xie-Xuan Zhou, Sander Willems, Constantin Ammar, Maria Wahle, Isabell Bludau, Eugenia Voytik, Maximillian T. Strauss, Matthias Mann
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Deep learning (DL) has been frequently used in mass spectrometry-based proteomics but there is still a lot of potential. Here, the authors develop a framework that enables building DL models to predict arbitrary peptide properties with only a few lin
Externí odkaz:
https://doaj.org/article/c7b3d38766854418b5770b79f343455b
Autor:
Melusine Bleu, Fanny Mermet-Meillon, Verena Apfel, Louise Barys, Laura Holzer, Marianne Bachmann Salvy, Rui Lopes, Inês Amorim Monteiro Barbosa, Cecile Delmas, Alexandra Hinniger, Suzanne Chau, Markus Kaufmann, Simon Haenni, Karolin Berneiser, Maria Wahle, Ivana Moravec, Alexandra Vissières, Tania Poetsch, Erik Ahrné, Nathalie Carte, Johannes Voshol, Elisabeth Bechter, Jacques Hamon, Marco Meyerhofer, Dirk Erdmann, Matteo Fischer, Therese Stachyra, Felix Freuler, Sascha Gutmann, César Fernández, Tobias Schmelzle, Ulrike Naumann, Guglielmo Roma, Kate Lawrenson, Cristina Nieto-Oberhuber, Amanda Cobos-Correa, Stephane Ferretti, Dirk Schübeler, Giorgio Giacomo Galli
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Lineage-restricted transcription factor PAX8 is oncogenic in ovarian cancer cells. Here the authors show that PAX8 interacts and recruits a splice variant of the MECOM locus PRDM3 to control the gene expression module involved in adhesion and extrace
Externí odkaz:
https://doaj.org/article/e459f346777c48fab385e6b2235f6c4c
Autor:
Florian A. Rosenberger, Marvin Thielert, Maximilian T. Strauss, Constantin Ammar, Sophia C. Mädler, Lisa Schweizer, Andreas Metousis, Patricia Skowronek, Maria Wahle, Janine Gote-Schniering, Anna Semenova, Herbert B. Schiller, Edwin Rodriguez, Thierry M. Nordmann, Andreas Mund, Matthias Mann
Single-cell proteomics by mass spectrometry (MS) is emerging as a powerful and unbiased method for the characterization of biological heterogeneity. So far, it has been limited to cultured cells, whereas an expansion of the method to complex tissues
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::407f252cb5bc37a3ba609ff889903f49
https://doi.org/10.1101/2022.12.03.518957
https://doi.org/10.1101/2022.12.03.518957
Autor:
Marvin Thielert, Corazon Ericka Mae Itang, Constantin Ammar, Florian A Schober, Isabell Bludau, Patricia Skowronek, Maria Wahle, Wen-Feng Zeng, Xie-Xuan Zhou, Andreas-David Brunner, Sabrina Richter, Fabian J Theis, Martin Steger, Matthias Mann
Single-cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput and robustness, a challenge that we address here by a streamlined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fb68f6ef41609f753e695cd0ef7f6b
https://doi.org/10.1101/2022.12.02.518917
https://doi.org/10.1101/2022.12.02.518917
Autor:
Johannes Voshol, Therese Stachyra, Alexandra Vissieres, Elisabeth Bechter, Verena Apfel, Erik Ahrné, Maria Wahle, Suzanne Chau, Ivana Moravec, Karolin Fiona Berneiser, Nathalie Carte, Tania Poetsch, Rui Lopes, Dirk Schübeler, Simon Haenni, Markus Kaufmann, Stephane Ferretti, Dirk Erdmann, Alexandra Hinniger, Marianne Bachmann Salvy, Jacques Hamon, Guglielmo Roma, Amanda Cobos-Correa, Ulrike Naumann, César Fernández, Louise Barys, Cristina Nieto-Oberhuber, Giorgio G. Galli, Melusine Bleu, Matteo Fischer, Felix Freuler, Sascha Gutmann, Kate Lawrenson, Fanny Mermet-Meillon, Tobias Schmelzle, Cecile Delmas, Laura Holzer, Marco Meyerhofer, Ines Barbosa
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
The transcription factor PAX8 is critical for the development of the thyroid and urogenital system. Comprehensive genomic screens furthermore indicate an additional oncogenic role for PAX8 in renal and ovarian cancers. While a plethora of PAX8-regula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aaf78d1de96ff3b8d6880ccacc7215a
https://pubmed.ncbi.nlm.nih.gov/33903593
https://pubmed.ncbi.nlm.nih.gov/33903593
Autor:
Patricia Skowronek, Florian Krohs, Markus Lubeck, Georg Wallmann, Ericka Itang, Polina Koval, Maria Wahle, Marvin Thielert, Florian Meier, Sander Willems, Oliver Raether, Matthias Mann
Publikováno v:
Skowronek, P, Krohs, F, Lubeck, M, Wallmann, G, Itang, E C M, Koval, P, Wahle, M, Thielert, M, Meier, F, Willems, S, Raether, O & Mann, M 2023, ' Synchro-PASEF allows precursor-specific fragment ion extraction and interference removal in data-independent acquisition ', Molecular and Cellular Proteomics, vol. 22, no. 2, 100489 . https://doi.org/10.1016/j.mcpro.2022.100489
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics
Data-independent acquisition (DIA) methods have become increasingly popular in mass spectrometry (MS)-based proteomics because they enable continuous acquisition of fragment spectra for all precursors simultaneously. However, these advantages come wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f96f86ddae9d684878f566f8820384e