Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Oliver M Bernhardt"'
Autor:
Roland Bruderer, Marco Tognetti, Lukas Reiter, Ilja E Shapiro, Luca Raess, Tikira Temu, Oliver M Bernhardt, Yuehan Feng, Jonathan Woodsmith
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/a2bd5bb8daa8491185b5dd1be8228905
Autor:
Dorte B. Bekker-Jensen, Oliver M. Bernhardt, Alexander Hogrebe, Ana Martinez-Val, Lynn Verbeke, Tejas Gandhi, Christian D. Kelstrup, Lukas Reiter, Jesper V. Olsen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Localizing phosphorylation sites by data-independent acquisition (DIA)-based proteomics is still challenging. Here, the authors develop algorithms for phosphosite localization and stoichiometry determination, and incorporate them into single-shot DIA
Externí odkaz:
https://doaj.org/article/448cb8a30d124c708cc21f898c76c600
Autor:
Devon Kohler, Mateusz Staniak, Tsung-Heng Tsai, Ting Huang, Nicholas Shulman, Oliver M. Bernhardt, Brendan X. MacLean, Alexey I. Nesvizhskii, Lukas Reiter, Eduard Sabido, Meena Choi, Olga Vitek
Publikováno v:
Journal of Proteome Research. 22:1466-1482
Autor:
Ilja E. Shapiro, Luca Räss, Christopher R. Below, Marco Tognetti, Tikira Temu, Oliver M. Bernhardt, Roland Bruderer, Jonathan Woodsmith, Lukas Reiter
Publikováno v:
Cancer Research. 83:2991-2991
Colorectal cancer (CRC) is currently the second most common cause of cancer related mortality in the world. One of the hallmarks of CRC is its complex mutational landscape that contributes to the derivation of neoantigens which aid the immunosurveill
Autor:
Ilja E. Shapiro, Luca Raess, Marco Tognetti, Tikira Temu, Oliver M. Bernhardt, Yuehan Feng, Roland Bruderer, Lukas Reiter
Publikováno v:
Cancer Research. 82:1374-1374
Human leukocyte antigen-associated peptides, known as immunopeptides, play an essential role in adaptive immunity by activating and ensuring the specificity of T-cells. The identification and quantification of the immunopeptidome bear the potential t
Autor:
Oliver Rinner, Ornella Cominetti, Jan Muntel, Jörg Hager, Charlotte Macron, Arne Astrup, Roland Bruderer, Wim H. M. Saris, Sebastian Müller, Loïc Dayon, Armand Valsesia, Jérôme Carayol, Oliver M. Bernhardt, Lukas Reiter, Tejas Gandhi
Publikováno v:
Molecular & Cellular Proteomics, 18(6):ARTN RA118.001288, 1242-1254. American Society for Biochemistry and Molecular Biology, Inc.
Molecular & Cellular Proteomics : MCP
Bruderer, R, Muntel, J, Müller, S, Bernhardt, O M, Gandhi, T, Cominetti, O, Macron, C, Carayol, J, Rinner, O, Astrup, A, Saris, W H M, Hager, J, Valsesia, A, Dayon, L & Reiter, L 2019, ' Analysis of 1508 plasma samples by capillary-flow data-independent acquisition profiles proteomics of weight loss and maintenance ', Molecular and Cellular Proteomics, vol. 18, no. 6, pp. 1242-1254 . https://doi.org/10.1074/mcp.RA118.001288
Molecular & Cellular Proteomics : MCP
Bruderer, R, Muntel, J, Müller, S, Bernhardt, O M, Gandhi, T, Cominetti, O, Macron, C, Carayol, J, Rinner, O, Astrup, A, Saris, W H M, Hager, J, Valsesia, A, Dayon, L & Reiter, L 2019, ' Analysis of 1508 plasma samples by capillary-flow data-independent acquisition profiles proteomics of weight loss and maintenance ', Molecular and Cellular Proteomics, vol. 18, no. 6, pp. 1242-1254 . https://doi.org/10.1074/mcp.RA118.001288
We established a robust capillary-flow data-independent acquisition MS platform capable of measuring 31 plasma proteomes per day without the need of repeated acquisition of the same sample. We acquired 1508 samples of the DiOGenes study (multicentere
Autor:
Ting Huang, Erik Verschueren, Yasset Perez-Riverol, Bernd Wollscheid, Ruth Hüttenhain, Jeremy Carver, Eduard Sabidó, Olga Vitek, Tom Dunkley, Guo Ci Teo, Oliver M. Bernhardt, Benjamin Pullman, Nuno Bandeira, Maria P. Pavlou, Lukas Reiter, Meena Choi, Cristina Chiva, Jan Muntel, Manuel Tzouros, Tsung-Heng Tsai, Alexey I. Nesvizhskii, Maik Müller, Sandra Goetze
Publikováno v:
Nature Methods, 17 (10)
Nature methods
Nature Methods
Nature methods
Nature Methods
MassIVE.quant is a repository infrastructure and data resource for reproducible quantitative mass spectrometry-based proteomics, which is compatible with all mass spectrometry data acquisition types and computational analysis tools. A branch structur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d09560dbcf39706572c935962940d6e9
https://hdl.handle.net/20.500.11850/443807
https://hdl.handle.net/20.500.11850/443807
Autor:
Tejas Gandhi, Ana Martinez-Val, Christian D. Kelstrup, Lynn Verbeke, Dorte B. Bekker-Jensen, Oliver M. Bernhardt, Lukas Reiter, Alexander Hogrebe, Jesper V. Olsen
Publikováno v:
Bekker-Jensen, D B, Bernhardt, O M, Hogrebe, A, Martinez-Val, A, Verbeke, L, Gandhi, T, Kelstrup, C D, Reiter, L & Olsen, J V 2020, ' Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries ', Nature Communications, vol. 11, no. 1, 787 . https://doi.org/10.1038/s41467-020-14609-1
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Quantitative phosphoproteomics has transformed investigations of cell signaling, but it remains challenging to scale the technology for high-throughput analyses. Here we report a rapid and reproducible approach to analyze hundreds of phosphoproteomes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e453d00707c07c35b75c671a2f2b94a
https://curis.ku.dk/portal/da/publications/rapid-and-sitespecific-deep-phosphoproteome-profiling-by-dataindependent-acquisition-without-the-need-for-spectral-libraries(c58b93b3-99f8-4b09-897a-9c279dc8d2c3).html
https://curis.ku.dk/portal/da/publications/rapid-and-sitespecific-deep-phosphoproteome-profiling-by-dataindependent-acquisition-without-the-need-for-spectral-libraries(c58b93b3-99f8-4b09-897a-9c279dc8d2c3).html
Autor:
Roland Bruderer, David Gomez-Varela, Julia Sondermann, Tejas Gandhi, Oliver M. Bernhardt, Manuela Schmidt, Lukas Reiter, Yue Xuan
Publikováno v:
Molecular & Cellular Proteomics : MCP
Comprehensive, reproducible and precise analysis of large sample cohorts is one of the key objectives of quantitative proteomics. Here, we present an implementation of data-independent acquisition using its parallel acquisition nature that surpasses
Autor:
Lukas Reiter, Lynn Verbeke, Oliver M. Bernhardt, Jan Muntel, Roland Bruderer, Tejas Gandhi, Tobias Treiber
Publikováno v:
Molecular omics. 15(5)
Comprehensive proteome quantification is crucial for a better understanding of underlying mechanisms of diseases. Liquid chromatography mass spectrometry (LC-MS) has become the method of choice for comprehensive proteome quantification due to its pow