首页> 外文期刊>Cancer genomics & proteomics >Proteomics in Cancer Research and Diagnosis; An Update
【24h】

Proteomics in Cancer Research and Diagnosis; An Update

机译:蛋白质组学在癌症研究和诊断中的应用;更新

获取原文
           

摘要

The availability of reference genomes for, amongst others, man and mouse, coupled with the ability to manipulate the expression of single genes/proteins in model organisms, has fuelled a revolution in biomedical research. Non-invasive diagnosis and treatment, disease prediction and personalised medicine are all expected developments to result from the genomics revolution. Building on this resource, we are now able to employ high-throughput techniques for profiling the expression of thousands of genes/proteins in tissues, body fluids and even individual cells and have evolved a whole new science-systems biology that seeks to reveal the biological information in such data-rich studies. Given that proteins are the ultimate biological effectors within the cell and, due to various post-translational regulatory steps, are more varied and numerous than the protein-encoding genes, researchers are increasingly progressing from genome and gene transcript analyses to powerful proteomics techniques that offer a more complete picture of cell behaviour. Cancer research and clinical oncology, in particular, have been at the forefront in adapting and exploiting the new biology. The road map to cancer is being described for many individual cancers, tumours are profiled for prognostic and therapeutic purposes and biomarkers are sought to help with early diagnosis and disease monitoring. This review will focus on proteomics and its application to cancer research and diagnosis.
机译:人和小鼠等的参考基因组的可用性,以及在模型生物中操纵单个基因/蛋白质表达的能力,推动了生物医学研究的一场革命。无创诊断和治疗,疾病预测和个性化医学都是基因组学革命带来的预期发展。在此资源的基础上,我们现在能够采用高通量技术来分析组织,体液甚至单个细胞中数千种基因/蛋白质的表达,并发展了一种全新的科学系统生物学,力图揭示生物学此类数据丰富的研究中的信息。鉴于蛋白质是细胞内最终的生物学效应子,并且由于各种翻译后调控步骤,与编码蛋白质的基因相比,蛋白质具有更多的多样性和众多的功能,因此研究人员正日益从基因组和基因转录本分析发展为功能强大的蛋白质组学技术,更完整的细胞行为图。特别是癌症研究和临床肿瘤学,在适应和开发新生物学方面一直处于最前沿。正在为许多个体癌症描述通往癌症的路线图,对肿瘤进行轮廓分析以用于预后和治疗目的,并寻求生物标志物来帮助早期诊断和疾病监测。本文将重点关注蛋白质组学及其在癌症研究和诊断中的应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号