Institute of Bioinformatics, International Technology Park, Bangalore, Bangalore, 560066, India.
Manipal Academy of Higher Education (MAHE), Manipal, India.
Expert Rev Proteomics. 2021 Sep;18(9):737-756. doi: 10.1080/14789450.2021.1984884. Epub 2021 Nov 8.
Proteomics has played a pivotal role in identifying proteins perturbed in disease conditions when compared with healthy samples. Study of dysregulated proteins aids in identifying diagnostic markers and potential therapeutic targets. Cancer is an outcome of interplay of several such disarrayed proteins and molecular pathways which perturb cellular homeostasis, resulting in transformation. In this review, we discuss various facets of proteomic approaches, including tools and technological advancements, aiding in understanding differentially expressed molecules and signaling mechanisms.
In this review, we have taken the approach of documenting the different methods of proteomic studies, ranging from labeling techniques, data analysis methods, and the nature of molecule detected. We summarize each technique and provide a glimpse of cancer research carried out using them, highlighting the advantages and drawbacks in comparison with others. Literature search using online resources, such as PubMed and Google Scholar were carried out for this approach.
Technological advancements in proteomics studies have come a long way from the study of two-dimensional mapping of proteins separated on gels in the early 1970s. Higher precision in molecular identification and quantification (high throughput), and greater number of samples analyzed have been the focus of researchers.
与健康样本相比,蛋白质组学在识别疾病状态下失调的蛋白质方面发挥了关键作用。对失调蛋白质的研究有助于鉴定诊断标志物和潜在的治疗靶点。癌症是多种失调蛋白和分子途径相互作用的结果,这些途径扰乱了细胞内稳态,导致转化。在这篇综述中,我们讨论了蛋白质组学方法的各个方面,包括有助于理解差异表达分子和信号机制的工具和技术进步。
在这篇综述中,我们采用了记录蛋白质组学研究不同方法的方法,包括标记技术、数据分析方法和检测到的分子的性质。我们总结了每种技术,并提供了使用这些技术进行癌症研究的简要概述,突出了与其他技术相比的优缺点。为此方法使用了在线资源,如 PubMed 和 Google Scholar 进行文献检索。
蛋白质组学研究的技术进步已经从 20 世纪 70 年代早期在凝胶上分离蛋白质的二维图谱研究中走了很长一段路。分子鉴定和定量(高通量)的更高精度以及分析的更多样本数量一直是研究人员关注的焦点。