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CYTOCON:人类体内细胞和分子浓度的人工 curated 数据库。

CYTOCON: The manually curated database of human in vivo cell and molecule concentrations.

机构信息

INSYSBIO UK LTD., Edinburgh, UK.

INSYSBIO LLC, Moscow, Russia.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2023 Jan;12(1):41-49. doi: 10.1002/psp4.12867. Epub 2022 Oct 6.

Abstract

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 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.

摘要

细胞和细胞因子浓度数据库 (CYTOCON DB) 是由 InSysBio 团队承担的一个项目,旨在开发一个数据库,用于收集、处理和可视化公开的体内人类细胞、细胞因子、趋化因子和其他分子的基线浓度数据。除了手动整理外,CYTOCON 的一个重要特点是,大多数在论文中发现的值都是从大量原始单位(即 mg/ml 和活检表面切片每毫米的细胞数量)转换为统一单位:细胞因子为“pM”,细胞浓度为“kcell/L”。数据库的这些功能可以帮助研究人员促进定量系统药理学 (QSP) 模型的创建和校准。可能的应用包括:估计具有不同特征(如年龄、性别、疾病严重程度、疾病亚型等)的患者群体中细胞、细胞因子或趋化因子浓度的平均值或变异性;以及分析不同特征(如疾病严重程度)的患者中细胞、细胞因子或趋化因子浓度之间的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/546d/9835118/c32cfefe4b88/PSP4-12-41-g003.jpg

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