Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Claudia Ctortecka"'
Autor:
Claudia Ctortecka, Natalie M. Clark, Brian W. Boyle, Anjali Seth, D. R. Mani, Namrata D. Udeshi, Steven A. Carr
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract The recent technological and computational advances in mass spectrometry-based single-cell proteomics have pushed the boundaries of sensitivity and throughput. However, reproducible quantification of thousands of proteins within a single cel
Externí odkaz:
https://doaj.org/article/4d02495bf4d1442abd1b1edc2b329525
Autor:
Elisabet Manasanch, Hannah Taylor, Gabrielle M Hernandez, Eva K Verzani, Claudia Ctortecka, David A Berrios Nolasco, Karl R Clauser, Namrata D Udeshi, Jennifer G Abelin, Steven A Carr
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 2 (2023)
Externí odkaz:
https://doaj.org/article/e7b07ad65578471a985b7cbe13da9d64
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:
Claudia Ctortecka, Karl Mechtler
Publikováno v:
Analytical Science Advances. 2:84-94
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
Single-cell proteomics workflows have considerably improved in sensitivity and reproducibility to characterize yet unknown biological phenomena. With the emergence of multiplexed single-cell proteomics, studies increasingly present single-cell measur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::901608e4cd6df3f88e030c1bc4ca9548
https://doi.org/10.1101/2021.09.03.458853
https://doi.org/10.1101/2021.09.03.458853
Autor:
Natalia J. Sumi, Uwe Rix, John M. Koomen, Eric B. Haura, Fumi Kinose, Lily L. Remsing Rix, Victoria Izumi, Vinayak Palve, Silvia Novakova, Brent M. Kuenzi, Bin Fang, Claudia Ctortecka
Publikováno v:
Molecular & Cellular Proteomics. 17:2434-2447
Lung cancer is associated with high prevalence and mortality, and despite significant successes with targeted drugs in genomically defined subsets of lung cancer and immunotherapy, the majority of patients currently does not benefit from these therap
The analysis of single cell proteomes has recently become a viable complement to transcript and genomics studies. Proteins are the main driver of cellular functionality and mRNA levels are often an unreliable proxy of such. Therefore, the global anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44af48a4aa61c7ac63082aacd4e9e69b
https://doi.org/10.1101/2021.04.14.439828
https://doi.org/10.1101/2021.04.14.439828
Autor:
Sasha Mendjan, Karl Mechtler, Johannes Stadlmann, Gabriela Krššáková, Karel Stejskal, Josef M. Penninger, Claudia Ctortecka
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f005dec52e2fc27c7fef83ea0e612df0
https://doi.org/10.1101/2021.02.11.430601
https://doi.org/10.1101/2021.02.11.430601
Autor:
Sasha Mendjan, Maria Novatchkova, Mirjam Penc, Christy Meledeth, Šejla Šalic, Stefan M. Jahnel, Claudia Ctortecka, Clara Schmidt, Katherina Tavernini, Pablo Hofbauer, Alison Deyett, Nastasja Grdseloff, Magdalena Giesshammer, Nora Papai
Publikováno v:
Cell Res
SUMMARYOrganoids that self-organize into tissue-like structures have transformed our ability to model human development and disease. To date, all major organs can be mimicked using self-organizing organoids with the notable exception of the human hea