Branch-and-Cut versus Cut-and-Branch Algorithms for Cell Suppression

Author(s):  
Juan-José Salazar-González
2021 ◽  
Author(s):  
Go Itoh ◽  
Kurara Takagane ◽  
Yuma Fukushi ◽  
Sei Kuriyama ◽  
Michinobu Umakoshi ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Joonho Park ◽  
Hyeyoon Kim ◽  
So Yeon Kim ◽  
Yeonjae Kim ◽  
Jee-Soo Lee ◽  
...  

AbstractThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over forty million patients worldwide. Although most coronavirus disease 2019 (COVID-19) patients have a good prognosis, some develop severe illness. Markers that define disease severity or predict clinical outcome need to be urgently developed as the mortality rate in critical cases is approximately 61.5%. In the present study, we performed in-depth proteome profiling of undepleted plasma from eight COVID-19 patients. Quantitative proteomic analysis using the BoxCar method revealed that 91 out of 1222 quantified proteins were differentially expressed depending on the severity of COVID-19. Importantly, we found 76 proteins, previously not reported, which could be novel prognostic biomarker candidates. Our plasma proteome signatures captured the host response to SARS-CoV-2 infection, thereby highlighting the role of neutrophil activation, complement activation, platelet function, and T cell suppression as well as proinflammatory factors upstream and downstream of interleukin-6, interleukin-1B, and tumor necrosis factor. Consequently, this study supports the development of blood biomarkers and potential therapeutic targets to aid clinical decision-making and subsequently improve prognosis of COVID-19.


2008 ◽  
Vol 121 (2) ◽  
pp. 269-305 ◽  
Author(s):  
Irina Dumitrescu ◽  
Stefan Ropke ◽  
Jean-François Cordeau ◽  
Gilbert Laporte

Rheumatology ◽  
2015 ◽  
Vol 55 (4) ◽  
pp. 710-720 ◽  
Author(s):  
Michael Bonelli ◽  
Lisa Göschl ◽  
Stephan Blüml ◽  
Thomas Karonitsch ◽  
Kiyoshi Hirahara ◽  
...  

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