Zobrazeno 1 - 10
of 388
pro vyhledávání: '"Technological Innovation and Resources"'
Autor:
Gash, Debra C.1
Publikováno v:
Administrative Science Quarterly. Mar1990, Vol. 35 Issue 1, p218-220. 3p.
Autor:
Simo V. Zhang, Gabor Bartha, Rachel Marty Pyke, Richard Chen, Sean Michael Boyle, Jason Harris, John A. West, Michael Snyder, Sejal Desai, Rena McClory, Charles Abbott, Dattatreya Mellacheruvu, Nick A. Phillips, Steven Dea
Publikováno v:
Mol Cell Proteomics
Molecular & Cellular Proteomics : MCP
Molecular & Cellular Proteomics : MCP
Major histocompatibility complex (MHC)-bound peptides that originate from tumor-specific genetic alterations, known as neoantigens, are an important class of anticancer therapeutic targets. Accurately predicting peptide presentation by MHC complexes
Autor:
Henning Hermjakob, Vy Nguyen, Antonio Fabregat, Konstantinos Sidiropoulos, Guilherme Viteri, Johannes Griss
Publikováno v:
Molecular & Cellular Proteomics : MCP
We present the novel ReactomeGSA resource for comparative pathway analyses of multi-omics datasets. ReactomeGSA is accessible through Reactome's web interface and the novel ReactomeGSA R Bioconductor package with explicit support for scRNA-seq data.
Autor:
Oliver Kohlbacher, Ralf Ficner, Mathias Walzer, Timo Sachsenberg, Tjeerd M. H. Dijkstra, Eugen Netz, Henning Urlaub, Thomas Monecke, Olexandr Dybkov, Lukas Zimmermann
Publikováno v:
Mol Cell Proteomics
Cross-linking MS (XL-MS) has been recognized as an effective source of information about protein structures and interactions. In contrast to regular peptide identification, XL-MS has to deal with a quadratic search space, where peptides from every pr
Autor:
Ting Huang, Meena Choi, Sabrina Golling, Nikhil J. Pandya, Manuel Tzouros, Balazs Banfai, Olga Vitek, Tom Dunkley
Publikováno v:
Molecular & Cellular Proteomics : MCP
MSstatsTMT implements a general statistical approach for relative protein quantification and tests for differential abundance in mass spectrometry-based experiments with TMT labeling. It is applicable to experiments with multiple conditions, multiple
Autor:
Sri H. Ramarathinam, Nathan P. Croft, Shutao Mei, Pouya Faridi, Rochelle Ayala, Jiangning Song, Patricia T. Illing, Anthony W. Purcell
Publikováno v:
Mol Cell Proteomics
The presentation of post-translationally modified (PTM) peptides by cell surface HLA molecules has the potential to increase the diversity of targets for surveilling T cells. Although immunopeptidomics studies routinely identify thousands of HLA-boun
Autor:
Timothy Aballo, Theresa Mensah, Samuel G. Mackintosh, Xien Yu Chua, Ricky D. Edmondson, Arthur R. Salomon
Publikováno v:
Mol Cell Proteomics
Dynamic tyrosine phosphorylation is fundamental to a myriad of cellular processes. However, the inherently low abundance of tyrosine phosphorylation in the proteome and the inefficient enrichment of phosphotyrosine(pTyr)-containing peptides has led t
Publikováno v:
Molecular & Cellular Proteomics : MCP
DIA profiles of complex biological matrices such as tissues can contain quantitative interferences, and the interferences at the MS1 and the MS2 signals are often independent. We developed a statistical procedure incorporating both MS1 and MS2 quanti
Autor:
Timothy K. Toby, Ryan T. Fellers, Christopher Mullen, Paul M. Thomas, Chad R. Weisbrod, Joseph B. Greer, Kenneth R. Durbin, Vlad Zabrouskov, Peter F. Doubleday, Luca Fornelli, Henrique S. Seckler, Rafael D. Melani, Kristina Srzentić, Bryan P. Early, Neil L. Kelleher, Caroline J. DeHart, Philip D. Compton, Romain Huguet
Publikováno v:
Mol Cell Proteomics
Top-down proteomics studies intact proteoform mixtures and offers important advantages over more common bottom-up proteomics technologies, as it avoids the protein inference problem. However, achieving complete molecular characterization of investiga
Autor:
Sasha Mendjan, Gabriela Krššáková, Claudia Ctortecka, Johannes Stadlmann, Karel Stejskal, Josef M. Penninger, Karl Mechtler
Publikováno v:
Mol Cell Proteomics
Molecular & Cellular Proteomics : MCP
Molecular & Cellular Proteomics : MCP
Single-cell transcriptomics has revolutionized our understanding of basic biology and disease. Since transcript levels often do not correlate with protein expression, it is crucial to complement transcriptomics approaches with proteome analyses at si