Dataset Information

Coronavirus Immunotherapeutic Consortium Database.

ABSTRACT: The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has seen multiple anti-SARS-CoV-2 antibodies being generated globally. It is difficult, however, to assemble a useful compendium of these biological properties if they are derived from experimental measurements performed at different sites under different experimental conditions. The Coronavirus Immunotherapeutic Consortium (COVIC) circumvents these issues by experimentally testing blinded antibodies side by side for several functional activities. To collect these data in a consistent fashion and make it publicly available, we established the COVIC database (COVIC-DB, https://covicdb.lji.org/). This database enables systematic analysis and interpretation of this large-scale dataset by providing a comprehensive view of various features such as affinity, neutralization, in vivo protection and effector functions for each antibody. Interactive graphs enable direct comparisons of antibodies based on select functional properties. We demonstrate how the COVIC-DB can be utilized to examine relationships among antibody features, thereby guiding the design of therapeutic antibody cocktails. Database URL https://covicdb.lji.org/.

SUBMITTER: Mahita J

PROVIDER: S-EPMC9913043 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Coronavirus Immunotherapeutic Consortium Database.

Mahita Jarjapu J Ha Brendan B Gambiez Anais A Schendel Sharon L SL Li Haoyang H Hastie Kathryn M KM Dennison S Moses SM Li Kan K Kuzmina Natalia N Periasamy Sivakumar S Bukreyev Alexander A Munt Jennifer E JE Osei-Twum Mary M Atyeo Caroline C Overton James A JA Vita Randi R Guzman-Orozco Hector H Mendes Marcus M Kojima Mari M Halfmann Peter J PJ Kawaoka Yoshihiro Y Alter Galit G Gagnon Luc L Baric Ralph S RS Tomaras Georgia D GD Germann Tim T Bedinger Daniel D Greenbaum Jason A JA Saphire Erica Ollmann EO Peters Bjoern B

Database : the journal of biological databases and curation 20230201

The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has seen multiple anti-SARS-CoV-2 antibodies being generated globally. It is difficult, however, to assemble a useful compendium of these biological properties if they are derived from experimental measurements performed at different sites under different experimental conditions. The Coronavirus Immunotherapeutic Consortium (COVIC) circumvents these issues by experimentally ...[more]

PMID: 36763096

Similar Datasets

Project description:ObjectivesTo develop the International Cardiac Arrest Research (I-CARE), a harmonized multicenter clinical and electroencephalography database for acute hypoxic-ischemic brain injury research involving patients with cardiac arrest.DesignMulticenter cohort, partly prospective and partly retrospective.SettingSeven academic or teaching hospitals from the United States and Europe.PatientsIndividuals 16 years old or older who were comatose after return of spontaneous circulation following a cardiac arrest who had continuous electroencephalography monitoring were included.InterventionsNot applicable.Measurements and main resultsClinical and electroencephalography data were harmonized and stored in a common Waveform Database-compatible format. Automated spike frequency, background continuity, and artifact detection on electroencephalography were calculated with 10-second resolution and summarized hourly. Neurologic outcome was determined at 3-6 months using the best Cerebral Performance Category (CPC) scale. This database includes clinical data and 56,676 hours (3.9 terabytes) of continuous electroencephalography data for 1,020 patients. Most patients died ( n = 603, 59%), 48 (5%) had severe neurologic disability (CPC 3 or 4), and 369 (36%) had good functional recovery (CPC 1-2). There is significant variability in mean electroencephalography recording duration depending on the neurologic outcome (range, 53-102 hr for CPC 1 and CPC 4, respectively). Epileptiform activity averaging 1 Hz or more in frequency for at least 1 hour was seen in 258 patients (25%) (19% for CPC 1-2 and 29% for CPC 3-5). Burst suppression was observed for at least 1 hour in 207 (56%) and 635 (97%) patients with CPC 1-2 and CPC 3-5, respectively.ConclusionsThe I-CARE consortium electroencephalography database provides a comprehensive real-world clinical and electroencephalography dataset for neurophysiology research of comatose patients after cardiac arrest. This dataset covers the spectrum of abnormal electroencephalography patterns after cardiac arrest, including epileptiform patterns and those in the ictal-interictal continuum.

Dataset Information

Coronavirus Immunotherapeutic Consortium Database.

Publications

Coronavirus Immunotherapeutic Consortium Database.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets