IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study

10.3389/fimmu.2022.1060438

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Main Authors:	Shojaei, M, Shamshirian, A, Monkman, J, Grice, L, Tran, M, Tan, CW, Teo, SM, Rodrigues Rossi, G, McCulloch, TR, Nalos, M, Raei, M, Razavi, A, Ghasemian, R, Gheibi, M, Roozbeh, F, Sly, PD, Spann, KM, Chew, KY, Zhu, Y, Xia, Y, Wells, TJ, Senegaglia, AC, Kuniyoshi, CL, Franck, CL, dos Santos, AFR, Noronha, LD, Motamen, S, Valadan, R, Amjadi, O, Gogna, R, Madan, E, Alizadeh-Navaei, R, Lamperti, L, Zuñiga, F, Nova-Lamperti, E, Labarca, G, Knippenberg, B, Herwanto, V, Wang, Y, Phu, A, Chew, T, Kwan, T, Kim, K, Teoh, S, Pelaia, TM, Kuan, WS, Jee, Y, Iredell, J, O’Byrne, K, Fraser, JF, Davis, MJ, Belz, GT, Warkiani, ME, Gallo, CS, Souza-Fonseca-Guimaraes, F, Nguyen, Q, Mclean, A, Kulasinghe, A, Short, KR, Tang, B
Other Authors:	SURGERY
Format:	Article
Published:	Frontiers Media SA 2023
Subjects:	COVID-19 IFI27 SARS-CoV-2 biomarkers early predictor
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/237414
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-2374142024-04-25T02:07:02Z IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study Shojaei, M Shamshirian, A Monkman, J Grice, L Tran, M Tan, CW Teo, SM Rodrigues Rossi, G McCulloch, TR Nalos, M Raei, M Razavi, A Ghasemian, R Gheibi, M Roozbeh, F Sly, PD Spann, KM Chew, KY Zhu, Y Xia, Y Wells, TJ Senegaglia, AC Kuniyoshi, CL Franck, CL dos Santos, AFR Noronha, LD Motamen, S Valadan, R Amjadi, O Gogna, R Madan, E Alizadeh-Navaei, R Lamperti, L Zuñiga, F Nova-Lamperti, E Labarca, G Knippenberg, B Herwanto, V Wang, Y Phu, A Chew, T Kwan, T Kim, K Teoh, S Pelaia, TM Kuan, WS Jee, Y Iredell, J O’Byrne, K Fraser, JF Davis, MJ Belz, GT Warkiani, ME Gallo, CS Souza-Fonseca-Guimaraes, F Nguyen, Q Mclean, A Kulasinghe, A Short, KR Tang, B SURGERY COVID-19 IFI27 SARS-CoV-2 biomarkers early predictor 10.3389/fimmu.2022.1060438 Frontiers in Immunology 13 1060438- 2023-02-23T01:00:22Z 2023-02-23T01:00:22Z 2023-01-05 2023-02-22T10:35:20Z Article Shojaei, M, Shamshirian, A, Monkman, J, Grice, L, Tran, M, Tan, CW, Teo, SM, Rodrigues Rossi, G, McCulloch, TR, Nalos, M, Raei, M, Razavi, A, Ghasemian, R, Gheibi, M, Roozbeh, F, Sly, PD, Spann, KM, Chew, KY, Zhu, Y, Xia, Y, Wells, TJ, Senegaglia, AC, Kuniyoshi, CL, Franck, CL, dos Santos, AFR, Noronha, LD, Motamen, S, Valadan, R, Amjadi, O, Gogna, R, Madan, E, Alizadeh-Navaei, R, Lamperti, L, Zuñiga, F, Nova-Lamperti, E, Labarca, G, Knippenberg, B, Herwanto, V, Wang, Y, Phu, A, Chew, T, Kwan, T, Kim, K, Teoh, S, Pelaia, TM, Kuan, WS, Jee, Y, Iredell, J, O’Byrne, K, Fraser, JF, Davis, MJ, Belz, GT, Warkiani, ME, Gallo, CS, Souza-Fonseca-Guimaraes, F, Nguyen, Q, Mclean, A, Kulasinghe, A, Short, KR, Tang, B (2023-01-05). IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study. Frontiers in Immunology 13 : 1060438-. ScholarBank@NUS Repository. https://doi.org/10.3389/fimmu.2022.1060438 1664-3224 https://scholarbank.nus.edu.sg/handle/10635/237414 Frontiers Media SA Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	COVID-19 IFI27 SARS-CoV-2 biomarkers early predictor
spellingShingle	COVID-19 IFI27 SARS-CoV-2 biomarkers early predictor Shojaei, M Shamshirian, A Monkman, J Grice, L Tran, M Tan, CW Teo, SM Rodrigues Rossi, G McCulloch, TR Nalos, M Raei, M Razavi, A Ghasemian, R Gheibi, M Roozbeh, F Sly, PD Spann, KM Chew, KY Zhu, Y Xia, Y Wells, TJ Senegaglia, AC Kuniyoshi, CL Franck, CL dos Santos, AFR Noronha, LD Motamen, S Valadan, R Amjadi, O Gogna, R Madan, E Alizadeh-Navaei, R Lamperti, L Zuñiga, F Nova-Lamperti, E Labarca, G Knippenberg, B Herwanto, V Wang, Y Phu, A Chew, T Kwan, T Kim, K Teoh, S Pelaia, TM Kuan, WS Jee, Y Iredell, J O’Byrne, K Fraser, JF Davis, MJ Belz, GT Warkiani, ME Gallo, CS Souza-Fonseca-Guimaraes, F Nguyen, Q Mclean, A Kulasinghe, A Short, KR Tang, B IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
description	10.3389/fimmu.2022.1060438
author2	SURGERY
author_facet	SURGERY Shojaei, M Shamshirian, A Monkman, J Grice, L Tran, M Tan, CW Teo, SM Rodrigues Rossi, G McCulloch, TR Nalos, M Raei, M Razavi, A Ghasemian, R Gheibi, M Roozbeh, F Sly, PD Spann, KM Chew, KY Zhu, Y Xia, Y Wells, TJ Senegaglia, AC Kuniyoshi, CL Franck, CL dos Santos, AFR Noronha, LD Motamen, S Valadan, R Amjadi, O Gogna, R Madan, E Alizadeh-Navaei, R Lamperti, L Zuñiga, F Nova-Lamperti, E Labarca, G Knippenberg, B Herwanto, V Wang, Y Phu, A Chew, T Kwan, T Kim, K Teoh, S Pelaia, TM Kuan, WS Jee, Y Iredell, J O’Byrne, K Fraser, JF Davis, MJ Belz, GT Warkiani, ME Gallo, CS Souza-Fonseca-Guimaraes, F Nguyen, Q Mclean, A Kulasinghe, A Short, KR Tang, B
format	Article
author	Shojaei, M Shamshirian, A Monkman, J Grice, L Tran, M Tan, CW Teo, SM Rodrigues Rossi, G McCulloch, TR Nalos, M Raei, M Razavi, A Ghasemian, R Gheibi, M Roozbeh, F Sly, PD Spann, KM Chew, KY Zhu, Y Xia, Y Wells, TJ Senegaglia, AC Kuniyoshi, CL Franck, CL dos Santos, AFR Noronha, LD Motamen, S Valadan, R Amjadi, O Gogna, R Madan, E Alizadeh-Navaei, R Lamperti, L Zuñiga, F Nova-Lamperti, E Labarca, G Knippenberg, B Herwanto, V Wang, Y Phu, A Chew, T Kwan, T Kim, K Teoh, S Pelaia, TM Kuan, WS Jee, Y Iredell, J O’Byrne, K Fraser, JF Davis, MJ Belz, GT Warkiani, ME Gallo, CS Souza-Fonseca-Guimaraes, F Nguyen, Q Mclean, A Kulasinghe, A Short, KR Tang, B
author_sort	Shojaei, M
title	IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
title_short	IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
title_full	IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
title_fullStr	IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
title_full_unstemmed	IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study
title_sort	ifi27 transcription is an early predictor for covid-19 outcomes, a multi-cohort observational study
publisher	Frontiers Media SA
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/237414
_version_	1800915785724461056

IFI27 transcription is an early predictor for COVID-19 outcomes, a multi-cohort observational study

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