Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Vaca Jacome AS"'
Autor:
Babur, Özgün, Luna, Augustin, Korkut, Anil, Durupinar, Funda, Siper, Metin Can, Dogrusoz, Ugur, Vaca Jacome, Alvaro Sebastian, Peckner, Ryan, Christianson, Karen E., Jaffe, Jacob D., Spellman, Paul T., Aslan, Joseph E., Sander, Chris, Demir, Emek
Publikováno v:
In Patterns 11 June 2021 2(6)
Autor:
Deborah O. Dele-Oni, Karen E. Christianson, Shawn B. Egri, Alvaro Sebastian Vaca Jacome, Katherine C. DeRuff, James Mullahoo, Vagisha Sharma, Desiree Davison, Tak Ko, Michael Bula, Joel Blanchard, Jennie Z. Young, Lev Litichevskiy, Xiaodong Lu, Daniel Lam, Jacob K. Asiedu, Caidin Toder, Adam Officer, Ryan Peckner, Michael J. MacCoss, Li-Huei Tsai, Steven A. Carr, Malvina Papanastasiou, Jacob D. Jaffe
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Measurement(s) drug perturbation response Technology Type(s) proteomic profiling Factor Type(s) cell line • drug Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9
Externí odkaz:
https://doaj.org/article/b86900b2f9b8425aac6d9c1d14f49b98
Autor:
Özgün Babur, Augustin Luna, Anil Korkut, Funda Durupinar, Metin Can Siper, Ugur Dogrusoz, Alvaro Sebastian Vaca Jacome, Ryan Peckner, Karen E. Christianson, Jacob D. Jaffe, Paul T. Spellman, Joseph E. Aslan, Chris Sander, Emek Demir
Publikováno v:
Patterns, Vol 2, Iss 6, Pp 100257- (2021)
Summary: We present a computational method to infer causal mechanisms in cell biology by analyzing changes in high-throughput proteomic profiles on the background of prior knowledge captured in biochemical reaction knowledge bases. The method mimics
Externí odkaz:
https://doaj.org/article/6418ddf1cf6f49f2a933be67a0b71f62
Autor:
Kshiti Meera Phulphagar, Claudia Ctortecka, Alvaro Sebastian Vaca Jacome, Susan Klaeger, Eva K. Verzani, Gabrielle M. Hernandez, Namrata D. Udeshi, Karl R. Clauser, Jennifer G. Abelin, Steven A. Carr
Publikováno v:
bioRxiv
Comprehensive, in-depth identification of the human leukocyte antigen HLA-I and HLA-II tumor immunopeptidome can inform the development of cancer immunotherapies. Mass spectrometry (MS) is powerful technology for direct identification of HLA peptides
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f313274303cd151b25fcb6257107086
https://europepmc.org/articles/PMC10054976/
https://europepmc.org/articles/PMC10054976/
Autor:
Steven A. Carr, Alvaro Sebastian Vaca Jacome, Katherine C. DeRuff, Michael J. MacCoss, Brendan MacLean, Nicholas J. Shulman, Adam Officer, Jacob D. Jaffe, Ryan Peckner, Karsten Krug, Karen E. Christianson
Publikováno v:
Nature methods
Multiple challenges remain in Data-Independent Acquisition (DIA) data analysis, like confidently identifying peptides, defining integration boundaries, removing interferences, and controlling false discovery rates. In practice, a visual inspection of
Autor:
Ilse Delint-Ramirez, Lahiri Konada, Lance Heady, Richard Rueda, Alvaro Sebastian Vaca Jacome, Eric Marlin, Charlotte Marchioni, Amir Segev, Oleg Kritskiy, Satoko Yamakawa, Andrew H. Reiter, Li-Huei Tsai, Ram Madabhushi
Publikováno v:
Molecular cell. 82(20)
Neuronal activity induces topoisomerase IIβ (Top2B) to generate DNA double-strand breaks (DSBs) within the promoters of neuronal early response genes (ERGs) and facilitate their transcription, and yet, the mechanisms that control Top2B-mediated DSB
Data-independent acquisition (DIA) is a powerful mass spectrometry method that promises higher coverage, reproducibility, and throughput than traditional quantitative proteomics approaches. However, the complexity of DIA data caused by fragmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d94371c1e1e01216974cf9ced746ece
https://doi.org/10.1101/2021.07.14.452243
https://doi.org/10.1101/2021.07.14.452243
Autor:
Sarah Cianférani, Charlotte Macron, Sebastian Alvaro Vaca-Jacome, Catherine Aude-Garcia, Christine Carapito, Joanna Bons, Magali Rompais, Thierry Rabilloud
Publikováno v:
Molecular and Cellular Proteomics
Molecular and Cellular Proteomics, American Society for Biochemistry and Molecular Biology, 2019, 18 (6), pp.1085-1095. ⟨10.1074/mcp.RA118.001269⟩
Molecular and Cellular Proteomics, 2019, 18 (6), pp.1085-1095. ⟨10.1074/mcp.RA118.001269⟩
Mol Cell Proteomics
Molecular and Cellular Proteomics, American Society for Biochemistry and Molecular Biology, 2019, 18 (6), pp.1085-1095. ⟨10.1074/mcp.RA118.001269⟩
Molecular and Cellular Proteomics, 2019, 18 (6), pp.1085-1095. ⟨10.1074/mcp.RA118.001269⟩
Mol Cell Proteomics
International audience; All but thirteen mammalian mitochondrial proteins are encoded by the nuclear genome, translated in the cytosol and then imported into the mitochondria. For a significant proportion of the mitochondrial proteins, import is coup
Autor:
Funda Durupinar, Chris Sander, Anil Korkut, Karen E. Christianson, Joseph E. Aslan, Emek Demir, Ryan Peckner, Özgün Babur, Jacob D. Jaffe, Augustin Luna, Metin Can Siper, Ugur Dogrusoz, Paul T. Spellman, Alvaro Sebastian Vaca Jacome
Publikováno v:
Patterns
Patterns, Vol 2, Iss 6, Pp 100257-(2021)
Patterns, Vol 2, Iss 6, Pp 100257-(2021)
Summary We present a computational method to infer causal mechanisms in cell biology by analyzing changes in high-throughput proteomic profiles on the background of prior knowledge captured in biochemical reaction knowledge bases. The method mimics a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5de403fdce77c49680f8f3ad40b1a58f
https://aperta.ulakbim.gov.tr/record/230538
https://aperta.ulakbim.gov.tr/record/230538
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