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SARS-CoV-2 RNAemia and proteomic trajectories inform progno..:

Gutmann, Clemens ; Takov, Kaloyan ; Burnap, Sean A...
Gutmann , C , Takov , K , Burnap , S A , Singh , B , Ali , H , Theofilatos , K , Reed , E , Hasman , M , Nabeebaccus , A , Fish , M , McPhail , M J , O'Gallagher , K , Schmidt , L E , Cassel , C , Rienks , M , Yin , X , Auzinger , G , Napoli , S , Mujib , S F , Trovato , F , Sanderson , B , Merrick , B , Niazi , U , Saqi , M , Dimitrakopoulou , K , Fernández-Leiro , R , Braun , S , Kronstein-Wiedemann , R , Doores , K J , Edgeworth , J D , Shah , A M , Bornstein , S R , Tonn , T , Hayday , A C , Giacca , M , Shankar-Hari , M & Mayr , M 2021 , ' SARS-CoV-2 RNAemia and proteomic trajectories inform prognostication in COVID-19 patients admitted to intensive care ' , Nature Communications , vol. 12 , no. 1 , 3406 . https://doi.org/10.1038/s41467-021-23494-1. , 2021

Link: https://kclpure.kcl.ac.uk/portal/en/publications/sarsc..

RT Journal
T1 <Title>SARS-CoV-2 RNAemia and proteomic trajectories inform prognostication in COVID-19 patients admitted to intensive care</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftkingscollondon:oai:pure.atira.dk:publications_8d565478-1e85-4136-b417-ba1f33437946&Exemplar=1&LAN=DE
				
A1 Gutmann, Clemens
A1 Takov, Kaloyan
A1 Burnap, Sean A
A1 Singh, Bhawana
A1 Ali, Hashim
A1 Theofilatos, Konstantinos
A1 Reed, Ella
A1 Hasman, Maria
A1 Nabeebaccus, Adam
A1 Fish, Matthew
A1 McPhail, Mark Jw
A1 O'Gallagher, Kevin
A1 Schmidt, Lukas E
A1 Cassel, Christian
A1 Rienks, Marieke
A1 Yin, Xiaoke
A1 Auzinger, Georg
A1 Napoli, Salvatore
A1 Mujib, Salma F
A1 Trovato, Francesca
A1 Sanderson, Barnaby
A1 Merrick, Blair
A1 Niazi, Umar
A1 Saqi, Mansoor
A1 Dimitrakopoulou, Konstantina
A1 Fernández-Leiro, Rafael
A1 Braun, Silke
A1 Kronstein-Wiedemann, Romy
A1 Doores, Katie J
A1 Edgeworth, Jonathan D
A1 Shah, Ajay M
A1 Bornstein, Stefan R
A1 Tonn, Torsten
A1 Hayday, Adrian C
A1 Giacca, Mauro
A1 Shankar-Hari, Manu
A1 Mayr, Manuel
YR 2021
K1 Adult
K1 Animals
K1 Antibodies
K1 Neutralizing/immunology
K1 Antigens
K1 Neoplasm/metabolism
K1 Biomarkers
K1 Tumor/metabolism
K1 C-Reactive Protein/metabolism
K1 COVID-19/metabolism
K1 Critical Care/statistics & numerical data
K1 Female
K1 HEK293 Cells
K1 Humans
K1 Kaplan-Meier Estimate
K1 Male
K1 Middle Aged
K1 Proteomics/methods
K1 RNA
K1 Viral/blood
K1 SARS-CoV-2/genetics
K1 Serum Amyloid P-Component/metabolism
K1 Spike Glycoprotein
K1 Coronavirus/immunology
K1 Viral Load/immunology
JF Gutmann , C , Takov , K , Burnap , S A , Singh , B , Ali , H , Theofilatos , K , Reed , E , Hasman , M , Nabeebaccus , A , Fish , M , McPhail , M J , O'Gallagher , K , Schmidt , L E , Cassel , C , Rienks , M , Yin , X , Auzinger , G , Napoli , S , Mujib , S F , Trovato , F , Sanderson , B , Merrick , B , Niazi , U , Saqi , M , Dimitrakopoulou , K , Fernández-Leiro , R , Braun , S , Kronstein-Wiedemann , R , Doores , K J , Edgeworth , J D , Shah , A M , Bornstein , S R , Tonn , T , Hayday , A C , Giacca , M , Shankar-Hari , M & Mayr , M 2021 , ' SARS-CoV-2 RNAemia and proteomic trajectories inform prognostication in COVID-19 patients admitted to intensive care ' , Nature Communications , vol. 12 , no. 1 , 3406 . https://doi.org/10.1038/s41467-021-23494-1
LK http://dx.doi.org/https://kclpure.kcl.ac.uk/portal/en/publications/sarscov2-rnaemia-and-proteomic-trajectories-inform-prognostication-in-covid19-patients-admitted-to-intensive-care(8d565478-1e85-4136-b417-ba1f33437946).html
DO https://kclpure.kcl.ac.uk/portal/en/publications/sarscov2-rnaemia-and-proteomic-trajectories-inform-prognostication-in-covid19-patients-admitted-to-intensive-care(8d565478-1e85-4136-b417-ba1f33437946).html
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