Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Alberto, Pessia"'
Publikováno v:
Journal of Statistical Software, Vol 106, Pp 1-26 (2023)
Analysis of dose-response data is an important step in many scientific disciplines, including but not limited to pharmacology, toxicology, and epidemiology. The R package drda is designed to facilitate the analysis of dose-response data by implementi
Externí odkaz:
https://doaj.org/article/ad4a3b6ba8004a28902ae5507d74c87c
Autor:
Shuyu Zheng, Wenyu Wang, Jehad Aldahdooh, Alina Malyutina, Tolou Shadbahr, Ziaurrehman Tanoli, Alberto Pessia, Jing Tang
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 20, Iss 3, Pp 587-596 (2022)
Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug combination datasets. Here, we report the major updates to the SynergyFin
Externí odkaz:
https://doaj.org/article/29d48e8b70b84e61b28ab427bfe53bed
Autor:
Saray Gutiérrez, Julia Fischer, Raja Ganesan, Nina Judith Hos, Gökhan Cildir, Martina Wolke, Alberto Pessia, Peter Frommolt, Vincenzo Desiderio, Vidya Velagapudi, Nirmal Robinson
Publikováno v:
PLoS Pathogens, Vol 17, Iss 9, p e1009943 (2021)
Regulation of cellular metabolism is now recognized as a crucial mechanism for the activation of innate and adaptive immune cells upon diverse extracellular stimuli. Macrophages, for instance, increase glycolysis upon stimulation with pathogen-associ
Externí odkaz:
https://doaj.org/article/b990dc2fb1bd4d26bb009ef804bbfd30
Publikováno v:
EBioMedicine, Vol 50, Iss , Pp 67-80 (2019)
Background: Probing genetic dependencies of cancer cells can improve our understanding of tumour development and progression, as well as identify potential drug targets. CRISPR-Cas9-based and shRNA-based genetic screening are commonly utilized to ide
Externí odkaz:
https://doaj.org/article/cda13cc53f064771be1c84b303f26f63
Publikováno v:
EBioMedicine, Vol 51, Iss , Pp - (2020)
Externí odkaz:
https://doaj.org/article/efe4b83e96e34dacaeff34b84ddaef5e
Autor:
Rogier Aäron Gaiser, Alberto Pessia, Zeeshan Ateeb, Haleh Davanian, Carlos Fernández Moro, Hassan Alkharaan, Katie Healy, Sam Ghazi, Urban Arnelo, Roberto Valente, Vidya Velagapudi, Margaret Sällberg Chen, Marco Del Chiaro
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/198bae10297044ed8fa0523eeb6ff0b3
Autor:
Alina Malyutina, Muntasir Mamun Majumder, Wenyu Wang, Alberto Pessia, Caroline A Heckman, Jing Tang
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 5, p e1006752 (2019)
High-throughput drug screening has facilitated the discovery of drug combinations in cancer. Many existing studies adopted a full matrix design, aiming for the characterization of drug pair effects for cancer cells. However, the full matrix design ma
Externí odkaz:
https://doaj.org/article/2b9f6fde87584ef2879092c13f3dddf6
Autor:
Eugene F. Douglass, Robert J. Allaway, Bence Szalai, Wenyu Wang, Tingzhong Tian, Adrià Fernández-Torras, Ron Realubit, Charles Karan, Shuyu Zheng, Alberto Pessia, Ziaurrehman Tanoli, Mohieddin Jafari, Fangping Wan, Shuya Li, Yuanpeng Xiong, Miquel Duran-Frigola, Martino Bertoni, Pau Badia-i-Mompel, Lídia Mateo, Oriol Guitart-Pla, Verena Chung, Jing Tang, Jianyang Zeng, Patrick Aloy, Julio Saez-Rodriguez, Justin Guinney, Daniela S. Gerhard, Andrea Califano
Publikováno v:
Cell Reports Medicine
Summary The Columbia Cancer Target Discovery and Development (CTD2) Center is developing PANACEA, a resource comprising dose-responses and RNA sequencing (RNA-seq) profiles of 25 cell lines perturbed with ∼400 clinical oncology drugs, to study a tu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d40d6404b3339a2d521e9a33b55fc64
http://europepmc.org/articles/PMC8784774
http://europepmc.org/articles/PMC8784774
Publikováno v:
Metabolites, Vol 8, Iss 3, p 44 (2018)
The use of metabolomics profiling to understand the metabolism under different physiological states has increased in recent years, which created the need for robust analytical platforms. Here, we present a validated method for targeted and semiquanti
Externí odkaz:
https://doaj.org/article/a9ba63378dbc42619e6ba78ae5a408df
Autor:
Mika Kontro, Beat A. Imhof, Matti Kankainen, Alberto Pessia, Juha Laurila, Shuyu Zheng, Maija Hollmén, Heidi Gerke, Imtiaz Iftakhar-E-Khuda, Sina Tadayon, Jing Tang, Marika Karikoski, Sirpa Jalkanen, Marko Salmi
Publikováno v:
Cellular and Molecular Life Sciences
Although the development of hematopoietic stem cells (HSC) has been studied in great detail, their heterogeneity and relationships to different cell lineages remain incompletely understood. Moreover, the role of Vascular Adhesion Protein-1 in bone ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85d0b6db96258426f18ec1f9a352bbb1
http://hdl.handle.net/10138/337029
http://hdl.handle.net/10138/337029
