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CYTOCON: The manually curated database of human in vivo cell and molecule concentrations
Cell and cYTOkine CONcentrations DataBase (CYTOCON DB) is a project undertaken by the InSysBio team and aimed at the development of a database that allows collecting, processing, and visualizing publicly available in vivo human data on baseline concentrations of cells, cytokines, chemokines, and oth...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835118/ https://www.ncbi.nlm.nih.gov/pubmed/36128761 http://dx.doi.org/10.1002/psp4.12867 |
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author | Leonov, Vladislav Mogilevskaya, Ekaterina Gerasimuk, Elita Gizzatkulov, Nail Demin, Oleg |
author_facet | Leonov, Vladislav Mogilevskaya, Ekaterina Gerasimuk, Elita Gizzatkulov, Nail Demin, Oleg |
author_sort | Leonov, Vladislav |
collection | PubMed |
description | Cell and cYTOkine CONcentrations DataBase (CYTOCON DB) is a project undertaken by the InSysBio team and aimed at the development of a database that allows collecting, processing, and visualizing publicly available in vivo human data on baseline concentrations of cells, cytokines, chemokines, and other molecules. Besides manual curation, an important feature of CYTOCON is that most values found in papers are converted from a huge variety of original units (i.e., mg/ml and number of cells per mm(2) of biopsy surface section) to unified units: “pM” for cytokine and “kcell/L” for cell concentration. These features of the database can help researchers facilitate the creation and calibration of quantitative systems pharmacology (QSP) models. Possible applications can be: estimation of the average value or variability of the cell, cytokine or chemokine concentrations for patient groups with different characteristics, such as age, gender, disease severity, disease subtype, etc.; and analysis of correlations among the cell, cytokine, or chemokine concentrations in patients with different characteristics, such as severity of the disease. |
format | Online Article Text |
id | pubmed-9835118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98351182023-01-17 CYTOCON: The manually curated database of human in vivo cell and molecule concentrations Leonov, Vladislav Mogilevskaya, Ekaterina Gerasimuk, Elita Gizzatkulov, Nail Demin, Oleg CPT Pharmacometrics Syst Pharmacol Database Cell and cYTOkine CONcentrations DataBase (CYTOCON DB) is a project undertaken by the InSysBio team and aimed at the development of a database that allows collecting, processing, and visualizing publicly available in vivo human data on baseline concentrations of cells, cytokines, chemokines, and other molecules. Besides manual curation, an important feature of CYTOCON is that most values found in papers are converted from a huge variety of original units (i.e., mg/ml and number of cells per mm(2) of biopsy surface section) to unified units: “pM” for cytokine and “kcell/L” for cell concentration. These features of the database can help researchers facilitate the creation and calibration of quantitative systems pharmacology (QSP) models. Possible applications can be: estimation of the average value or variability of the cell, cytokine or chemokine concentrations for patient groups with different characteristics, such as age, gender, disease severity, disease subtype, etc.; and analysis of correlations among the cell, cytokine, or chemokine concentrations in patients with different characteristics, such as severity of the disease. John Wiley and Sons Inc. 2022-10-06 /pmc/articles/PMC9835118/ /pubmed/36128761 http://dx.doi.org/10.1002/psp4.12867 Text en © 2022 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Database Leonov, Vladislav Mogilevskaya, Ekaterina Gerasimuk, Elita Gizzatkulov, Nail Demin, Oleg CYTOCON: The manually curated database of human in vivo cell and molecule concentrations |
title |
CYTOCON: The manually curated database of human in vivo cell and molecule concentrations |
title_full |
CYTOCON: The manually curated database of human in vivo cell and molecule concentrations |
title_fullStr |
CYTOCON: The manually curated database of human in vivo cell and molecule concentrations |
title_full_unstemmed |
CYTOCON: The manually curated database of human in vivo cell and molecule concentrations |
title_short |
CYTOCON: The manually curated database of human in vivo cell and molecule concentrations |
title_sort | cytocon: the manually curated database of human in vivo cell and molecule concentrations |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835118/ https://www.ncbi.nlm.nih.gov/pubmed/36128761 http://dx.doi.org/10.1002/psp4.12867 |
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