细胞因子测定的可能性及其在不同组织中的分析

V. Jurišić
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引用次数: 0

摘要

细胞因子是一种小蛋白质,参与免疫系统细胞之间以及包括肿瘤在内的许多组织细胞之间的许多相互作用。目前,对细胞因子没有统一的分类,可以根据产生它们的细胞或活性类型对它们进行分析。细胞因子在医学上的研究已有多年,首先是在癌症患者的血清中,但也在许多其他疾病中,包括炎症或其他自身免疫性疾病或其他病理条件下。细胞因子仍在不断被发现,其中许多细胞因子的结构、生物作用和负责调节它们的基因已经被确定。在过去的一段时间里,技术的发展得到了巨大的发展,我们可以使用各种液体和微量浓度的细胞因子测定的新方法。在这里,目的是集中在不同组织中细胞因子值的测定和分析的具体可能性,包括细胞培养上清,单个细胞及其遗传调控。然而,为了理解它们在生物系统中的复杂作用,包括细胞因子的多效作用,在某些时候,细胞因子的作用是重叠的,目前推荐使用各种模型来分析和解释所获得的数据。在对细胞因子基因调控的理解和对其预测的可能性方面,这一问题显得尤为复杂和棘手。为了解决这些问题,已经在以前可用的实验数据上创建了许多数据库,尽管它们之间的联系还不是很清楚。此外,利用数据的集成,可以预测一些特定情况下的模型和系统,尽管这仍然是非常困难的。因此,目标是在确定的情况下预测价值,并与某些标准进行比较。因此,新的解释方法和新的分析程序被创造出来。我们期望,基于新的分析可能性,将取得更好的结果,并确定这些介质在个体或个性化诊断或生物医学治疗中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
POSSIBILITIES OF CYTOKINE DETERMINATION AND THEIR ANALYSIS IN VARIOUS TISSUES
Cytokines are small proteins that participate in many interactions between cells of the immune system as well as between many tissue cells including tumors. Currently, there is no universal classification of cytokines and they can be analyzed based on the cells that produce them or based on the type of activity. Cytokines have been studied for many years in medicine firstly in cancer patients in serum, but also in many other diseases including inflammation or other autoimmune diseases or other pathological conditions. Cytokines are still being discovered, and for many of them the structure, biological action and genes responsible for their regulation have already been determined. Bearing in mind that the development of technology has been developing enormously in the last period and those new methods of cytokine determination in various fluids and micro-concentrations are available to us. Here, the aim is to focus on the specific possibilities of determination and analysis of cytokine values in different tissues including cell culture supernatants, in individual cells as well as their genetic regulation. However, to understand their complex action in biological systems, including the pleiotropic effect of cytokines showing some time the overlap in the actions various models of analysis and interpretation of the obtained data are recommended today. This is especially complex and problematic in recent times of understanding the cytokine gene regulation and especially the possibility of their prediction. To resolve these problems, numerous databases have been created on the previously available experimental data, although their connection is not yet very clear. In addition, using integration of data, it is expected predict some models and systems in a specific situation, although it is still very difficult. So, aims are predict values in definitive situation and compare with some standards. Therefore, new methods of interpretation and new programs for analysis have been created. We expect that based on the new possibilities of analysis, better results will be achieved and that the role of these mediators for individual or personalized diagnosis or therapy in biomedicine will be determined.
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