Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sabine P. Schrimpf"'
Autor:
Kapil Dev Singh, Bernd Roschitzki, L Basten Snoek, Jonas Grossmann, Xue Zheng, Mark Elvin, Polina Kamkina, Sabine P Schrimpf, Gino B Poulin, Jan E Kammenga, Michael O Hengartner
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0149418 (2016)
Complex traits, including common disease-related traits, are affected by many different genes that function in multiple pathways and networks. The apoptosis, MAPK, Notch, and Wnt signalling pathways play important roles in development and disease pro
Externí odkaz:
https://doaj.org/article/ac824b58b5894d8c997ea2a82454aef9
Comparative functional analysis of the Caenorhabditis elegans and Drosophila melanogaster proteomes.
Autor:
Sabine P Schrimpf, Manuel Weiss, Lukas Reiter, Christian H Ahrens, Marko Jovanovic, Johan Malmström, Erich Brunner, Sonali Mohanty, Martin J Lercher, Peter E Hunziker, Ruedi Aebersold, Christian von Mering, Michael O Hengartner
Publikováno v:
PLoS Biology, Vol 7, Iss 3, p e48 (2009)
The nematode Caenorhabditis elegans is a popular model system in genetics, not least because a majority of human disease genes are conserved in C. elegans. To generate a comprehensive inventory of its expressed proteome, we performed extensive shotgu
Externí odkaz:
https://doaj.org/article/cdf622d4279048f39aef3568b1a3c99f
Autor:
Sabine P. Schrimpf, Emøke Bendixen, Joshua L. Heazlewood, Dörte Becher, Andreas Tholey, Katrin Riedel
Publikováno v:
Heazlewood, J L, Schrimpf, S P, Becher, D, Riedel, K, Tholey, A & Bendixen, E 2015, ' Multi-Organism Proteomes (iMOP) : Advancing our Understanding of Human Biology ', Proteomics, vol. 15, no. 17, pp. 2885-2894 . https://doi.org/10.1002/pmic.201570153
Autor:
Mark Elvin, Antje Beyer, Jan E. Kammenga, K. Joeri van der Velde, Feng Xue, Alex Hajnal, Danny Arends, Yang Li, L. Basten Snoek, Gino B. Poulin, Ritsert C. Jansen, Miriam Rodriguez, Jasmin Fisher, Sabine P. Schrimpf, Tobias Schmid, Michael O. Hengartner, Morris A. Swertz
Publikováno v:
Nucleic acids research, 41(D1), D738-D743
Nucleic acids research
Nucleic acids research 41 (2013) D1
Nucleic Acids Research, 41(D1), D738-D743. Oxford University Press
Nucleic Acids Research
Nucleic acids research
Nucleic acids research 41 (2013) D1
Nucleic Acids Research, 41(D1), D738-D743. Oxford University Press
Nucleic Acids Research
Here, we present WormQTL (http://www.wormqtl.org), an easily accessible database enabling search, comparative analysis and meta-analysis of all data on variation in Caenorhabditis spp. Over the past decade, Caenorhabditis elegans has become instrumen
Autor:
Jonas Grossmann, Sabine P. Schrimpf, L. Basten Snoek, Gino B. Poulin, Polina Kamkina, Kapil Dev Singh, Michael O. Hengartner, Jan E. Kammenga, Bernd Roschitzki, Xue Zheng, Mark Elvin
Publikováno v:
PLoS ONE 11 (2016) 3
PLoS ONE, 11(3)
PLOS ONE
PLoS ONE, Vol 11, Iss 3, p e0149418 (2016)
PLoS ONE
University of Manchester-PURE
PLoS ONE, 11 (3)
PLoS ONE, 11(3)
PLOS ONE
PLoS ONE, Vol 11, Iss 3, p e0149418 (2016)
PLoS ONE
University of Manchester-PURE
PLoS ONE, 11 (3)
Complex traits, including common disease-related traits, are affected by many different genes that function in multiple pathways and networks. The apoptosis, MAPK, Notch, and Wnt signalling pathways play important roles in development and disease pro
Autor:
Bernd Roschitzki, Mark G. Sterken, Christian von Mering, Michael Daube, Claudia Fortes, Alexander Roth, Rita J. M. Volkers, Jonas Grossmann, L. Basten Snoek, Jan E. Kammenga, Sabine P. Schrimpf, Ralph Schlapbach, Michael O. Hengartner, Polina Kamkina
Publikováno v:
Molecular and Cellular Proteomics, 15(5), 1670-1680
Molecular and Cellular Proteomics 15 (2016) 5
Molecular & Cellular Proteomics
Molecular and Cellular Proteomics 15 (2016) 5
Molecular & Cellular Proteomics
Natural genetic variation is the raw material of evolution and influences disease development and progression. An important question is how this genetic variation translates into variation in protein abundance. To analyze the effects of the genetic b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01146a02782ff4cf433748b7f1c24663
https://doi.org/10.5167/uzh-124841
https://doi.org/10.5167/uzh-124841
Autor:
Henning Hermjakob, Deni Subasic, Michael Daube, Mark S. Baker, Eric W. Deutsch, Rolf Apweiler, Ueli Grossniklaus, Christian von Mering, Michael O. Hengartner, Christian Ravnsborg, Manuel Weiss, Joshua L. Heazlewood, Katja Baerenfaller, Marko Jovanovic, Emøke Bendixen, Craig Lawless, Xue Zheng, Sabine P. Schrimpf, Ruedi Aebersold, Alexandra M. E. Jones, Klaas J. van Wijk, Philip Brownridge, Lennart Martens, Andreas Tholey, Erich Brunner, Christian H. Ahrens, Yhong-Hee Shim, Steve Briggs, Günter Lochnit
Publikováno v:
PROTEOMICS
Proteomics
Proteomics
The community working on model organisms is growing steadily and the number of model organisms for which proteome data are being generated is continuously increasing. To standardize efforts and to make optimal use of proteomics data acquired from mod
Autor:
Joshua L. Heazlewood, Dirk Bumann, Michael O. Hengartner, Gil Omenn, Sabine P. Schrimpf, Emøke Bendixen, Christian von Mering
Publikováno v:
Proteomics
iMOP--the Initiative on Model Organism Proteomes--was accepted as a new HUPO initiative at the Ninth HUPO meeting in Sydney in 2010. A goal of iMOP is to integrate research groups working on a great diversity of species into a model organism communit
Autor:
Helge Grosshans, Cherie Blenkiron, Lange, Sabine P. Schrimpf, Nicolas J. Lehrbach, Erica Bogan, Xavier C. Ding, Ruedi Aebersold, Marko Jovanovic, Michael O. Hengartner, Markus Weiss, Paola Picotti, BA Hurschler, Lukas Reiter, Eric A. Miska
Publikováno v:
Nature Methods
Efficient experimental strategies are needed to validate computationally predicted microRNA (miRNA) target genes. Here we present a large-scale targeted proteomics approach to validate predicted miRNA targets in Caenorhabditis elegans. Using selected
Autor:
Ruedi Aebersold, Manfred Claassen, Sabine P. Schrimpf, Lukas Reiter, Michael O. Hengartner, Alexander Schmidt, Joachim M. Buhmann, Marko Jovanovic
Publikováno v:
Molecular & Cellular Proteomics; Vol 8
Molecular and Cellular Proteomics
Molecular and Cellular Proteomics
Comprehensive characterization of a proteome is a fundamental goal in proteomics. To achieve saturation coverage of a proteome or specific subproteome via tandem mass spectrometric identification of tryptic protein sample digests, proteomics data set