Patil Ajeetkumar, Bhat Sujatha, Pai Keerthilatha M, Rai Lavanya, Kartha V B, Chidangil Santhosh
Dept. of Atomic and Molecular Physics, Manipal University, Manipal, Karnataka, India.
Dept. of Microbiology, Melaka Manipal Medical College, Manipal University, Manipal, India.
J Proteomics. 2015 Sep 8;127(Pt A):202-10. doi: 10.1016/j.jprot.2015.05.006. Epub 2015 May 12.
An ultra-sensitive high performance liquid chromatography-laser induced fluorescence (HPLC-LIF) based technique has been developed by our group at Manipal, for screening, early detection, and staging for various cancers, using protein profiling of clinical samples like, body fluids, cellular specimens, and biopsy-tissue. More than 300 protein profiles of different clinical samples (serum, saliva, cellular samples and tissue homogenates) from volunteers (normal, and different pre-malignant/malignant conditions) were recorded using this set-up. The protein profiles were analyzed using principal component analysis (PCA) to achieve objective detection and classification of malignant, premalignant and healthy conditions with high sensitivity and specificity. The HPLC-LIF protein profiling combined with PCA, as a routine method for screening, diagnosis, and staging of cervical cancer and oral cancer, is discussed in this paper.
In recent years, proteomics techniques have advanced tremendously in life sciences and medical sciences for the detection and identification of proteins in body fluids, tissue homogenates and cellular samples to understand biochemical mechanisms leading to different diseases. Some of the methods include techniques like high performance liquid chromatography, 2D-gel electrophoresis, MALDI-TOF-MS, SELDI-TOF-MS, CE-MS and LC-MS techniques. We have developed an ultra-sensitive high performance liquid chromatography-laser induced fluorescence (HPLC-LIF) based technique, for screening, early detection, and staging for various cancers, using protein profiling of clinical samples like, body fluids, cellular specimens, and biopsy-tissue. More than 300 protein profiles of different clinical samples (serum, saliva, cellular samples and tissue homogenates) from healthy and volunteers with different malignant conditions were recorded by using this set-up. The protein profile data were analyzed using principal component analysis (PCA) for objective classification and detection of malignant, premalignant and healthy conditions. The method is extremely sensitive to detect proteins with limit of detection of the order of femto-moles. The HPLC-LIF combined with PCA as a potential proteomic method for the diagnosis of oral cancer and cervical cancer has been discussed in this paper. This article is part of a Special Issue entitled: Proteomics in India.
我校马尼帕尔团队开发了一种基于超灵敏高效液相色谱 - 激光诱导荧光（HPLC - LIF）的技术，用于通过对体液、细胞样本和活检组织等临床样本进行蛋白质谱分析，对各种癌症进行筛查、早期检测和分期。使用该装置记录了来自志愿者（正常以及不同癌前/恶性状态）的300多个不同临床样本（血清、唾液、细胞样本和组织匀浆）的蛋白质谱。利用主成分分析（PCA）对蛋白质谱进行分析，以高灵敏度和特异性实现对恶性、癌前和健康状态的客观检测和分类。本文讨论了将HPLC - LIF蛋白质谱分析与PCA相结合，作为宫颈癌和口腔癌筛查、诊断及分期的常规方法。
近年来，蛋白质组学技术在生命科学和医学领域取得了巨大进展，用于检测和鉴定体液、组织匀浆和细胞样本中的蛋白质，以了解导致不同疾病的生化机制。其中一些方法包括高效液相色谱、二维凝胶电泳、基质辅助激光解吸电离飞行时间质谱（MALDI - TOF - MS）、表面增强激光解吸电离飞行时间质谱（SELDI - TOF - MS）、毛细管电泳 - 质谱（CE - MS）和液相色谱 - 质谱（LC - MS）技术等。我们开发了一种基于超灵敏高效液相色谱 - 激光诱导荧光（HPLC - LIF）的技术，用于通过对体液、细胞样本和活检组织等临床样本进行蛋白质谱分析，对各种癌症进行筛查、早期检测和分期。使用该装置记录了来自健康人和患有不同恶性疾病志愿者的300多个不同临床样本（血清、唾液、细胞样本和组织匀浆）的蛋白质谱。利用主成分分析（PCA）对蛋白质谱数据进行分析，以客观分类和检测恶性、癌前和健康状态。该方法对飞摩尔级别的蛋白质检测具有极高的灵敏度。本文讨论了将HPLC - LIF与PCA相结合，作为诊断口腔癌和宫颈癌的一种潜在蛋白质组学方法。本文是名为“印度的蛋白质组学”的特刊的一部分。
