Department of Oncology and Pathology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Aix-Marseille Univ, INSERM, CNRS, Institut Paoli-Calmettes, CRCM, Marseille Protéomique, F-13009 Marseille, France.
Brief Bioinform. 2024 Mar 27;25(3). doi: 10.1093/bib/bbae128.
IMPRINTS-CETSA (Integrated Modulation of Protein Interaction States-Cellular Thermal Shift Assay) provides a highly resolved means to systematically study the interactions of proteins with other cellular components, including metabolites, nucleic acids and other proteins, at the proteome level, but no freely available and user-friendly data analysis software has been reported. Here, we report IMPRINTS.CETSA, an R package that provides the basic data processing framework for robust analysis of the IMPRINTS-CETSA data format, from preprocessing and normalization to visualization. We also report an accompanying R package, IMPRINTS.CETSA.app, which offers a user-friendly Shiny interface for analysis and interpretation of IMPRINTS-CETSA results, with seamless features such as functional enrichment and mapping to other databases at a single site. For the hit generation part, the diverse behaviors of protein modulations have been typically segregated with a two-measure scoring method, i.e. the abundance and thermal stability changes. We present a new algorithm to classify modulated proteins in IMPRINTS-CETSA experiments by a robust single-measure scoring. In this way, both the numerical changes and the statistical significances of the IMPRINTS information can be visualized on a single plot. The IMPRINTS.CETSA and IMPRINTS.CETSA.app R packages are freely available on GitHub at https://github.com/nkdailingyun/IMPRINTS.CETSA and https://github.com/mgerault/IMPRINTS.CETSA.app, respectively. IMPRINTS.CETSA.app is also available as an executable program at https://zenodo.org/records/10636134.
IMPRINTS-CETSA(蛋白质互作状态的综合调制-细胞热转移分析)提供了一种高度解析的方法,可在蛋白质组水平上系统地研究蛋白质与其他细胞成分(包括代谢物、核酸和其他蛋白质)的相互作用,但尚未报道任何免费且用户友好的数据分析软件。在这里,我们报告了 IMPRINTS.CETSA,这是一个 R 包,为 IMPRINTS-CETSA 数据格式的稳健分析提供了基本的数据处理框架,从预处理和归一化到可视化。我们还报告了一个配套的 R 包 IMPRINTS.CETSA.app,它提供了一个用户友好的 Shiny 界面,用于分析和解释 IMPRINTS-CETSA 结果,具有功能丰富和无缝映射到其他数据库等功能,位于单个站点。对于命中生成部分,蛋白质调节的不同行为通常通过两种测量评分方法进行分离,即丰度和热稳定性变化。我们提出了一种新算法,通过稳健的单测量评分对 IMPRINTS-CETSA 实验中的调节蛋白进行分类。通过这种方式,可以在单个图上可视化 IMPRINTS 信息的数值变化和统计显著性。IMPRINTS.CETSA 和 IMPRINTS.CETSA.app R 包可在 GitHub 上免费获得,网址分别为 https://github.com/nkdailingyun/IMPRINTS.CETSA 和 https://github.com/mgerault/IMPRINTS.CETSA.app,IMPRINTS.CETSA.app 也可作为可执行程序在 https://zenodo.org/records/10636134 获得。