IMPRINTS.CETSA and IMPRINTS.CETSA.app: an R package and a Shiny application for the analysis and interpretation of IMPRINTS-CETSA data

被引:3
作者
Gerault, Marc-Antoine [1 ]
Granjeaud, Samuel [2 ]
Camoin, Luc [3 ,9 ]
Nordlund, Par [1 ,8 ]
Dai, Lingyun [4 ,5 ,6 ,7 ]
机构
[1] Karolinska Inst, Solna, Sweden
[2] Inserm, CRCMs bioinformat platform, Paris, France
[3] Canc Res Ctr Marseille, Marseille Prote platform, Marseille, France
[4] Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen, Peoples R China
[5] Southern Univ Sci & Technol, Sch Med, Shenzhen, Peoples R China
[6] Southern Univ Sci & Technol, Affiliated Hosp 1, Dept Geriatr, Sch Med, Shenzhen 518020, Peoples R China
[7] Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen Clin Res Ctr Geriatr, Sch Med, Shenzhen 518020, Peoples R China
[8] Karolinska Inst, Dept Oncol & Pathol, S-17177 Stockholm, Sweden
[9] Aix Marseille Univ, Inst Paoli Calmettes, CRCM, Marseille Prote,INSERM,CNRS, F-13009 Marseille, France
基金
瑞典研究理事会; 新加坡国家研究基金会; 中国国家自然科学基金;
关键词
cellular thermal shift assay; integrated modulation of protein interaction states; mass spectrometry-based proteomics; statistical analysis; algorithm; PROTEIN COMPLEX DYNAMICS; DRUG TARGET ENGAGEMENT; 5-FLUOROURACIL;
D O I
10.1093/bib/bbae128
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
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页数:8
相关论文
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