Ghent University Academic Bibliography

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Your filters: cql: author="Martins, Laura" or (type any "bookEditor issueEditor" and editor="Martins, Laura")

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A Bayesian reanalysis of the standard versus accelerated initiation of renal-replacement therapy in acute kidney injury (STARRT-AKI) trial

Fernando G. Zampieri, Bruno R. da Costa, Suvi T. Vaara, François Lamontagne, Bram Rochwerg, Alistair D. Nichol, Shay McGuinness, Danny F. McAuley, Marlies Ostermann, Ron Wald, et al.

(2022) CRITICAL CARE. 26(1).
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Redox modification of the iron-sulfur glutaredoxin GRXS17 activates holdase activity and protects plants from heat stress

Laura Martins, Johannes Knuesting, Laetitia Bariat, Avilien Dard (UGent) , Sven A. Freibert, Christophe H. Marchand, David Young, Nguyen Ho Thuy Dung, Wilhelm Voth, Anne Debures, et al.

(2020) PLANT PHYSIOLOGY. 184(2). p.676-692
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Modeling HIV-1 latency in primary T cells using a replication-competent virus

Laura Martins, Pawel Bonczkowski (UGent) , Adam M Spivak, Ward De Spiegelaere (UGent) , Camille L Novis, Ana Beatriz DePaula-Silva, Eva Malatinková (UGent) , Wim Trypsteen (UGent) , Alberto Bosque, Linos Vandekerckhove (UGent) , et al.

(2016) AIDS RESEARCH AND HUMAN RETROVIRUSES. 32(2). p.187-193
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Replication competent virus as an important source of bias in HIV latency models utilizing single round viral constructs

Pawel Bonczkowski (UGent) , Ward De Spiegelaere (UGent) , Alberto Bosque, Cory H White, Anouk Van Nuffel (UGent) , Eva Malatinková (UGent) , Maja Kiselinova (UGent) , Wim Trypsteen (UGent) , Wojciech Witkowski (UGent) , JOLIEN VERMEIRE (UGent) , et al.

(2014) RETROVIROLOGY. 11.

Academic Bibliography

A Bayesian reanalysis of the standard versus accelerated initiation of renal-replacement therapy in acute kidney injury (STARRT-AKI) trial

Redox modification of the iron-sulfur glutaredoxin GRXS17 activates holdase activity and protects plants from heat stress

Modeling HIV-1 latency in primary T cells using a replication-competent virus

Replication competent virus as an important source of bias in HIV latency models utilizing single round viral constructs

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