Literature DB >> 11323197

Proteomic profiling from human samples: the body fluid alternative.

S Kennedy1.   

Abstract

Proteomics is one of the technologies rapidly changing our approach to drug development. The applications of proteomics, particularly with reference to analysis of body fluid samples, will be described. Proteomic analysis involves the systematic separation, identification and characterisation of proteins present in a biological sample. By comparing the proteins present in diseased samples with those present in normal samples, it is possible to identify changes in expression of proteins that potentially may be related to organ toxicity. Proteomics is regarded as a sister technology to genomics. Although the pattern of gene activity will be abnormal in a tissue with a pathological lesion, there can be a poor correlation between the level of activity of different genes and the relative abundance within the tissue of the corresponding proteins. This is especially true where the mode of action of the test material interferes with protein synthesis and/or post translational modification. Consequently, the information about a pathological process that can be derived at the level of gene activity is incomplete. Proteomics has now made it possible to analyse proteins using high throughput, automated techniques. Although both mRNA and proteomic profiling can be applied to tissue samples, analysis of body fluids (e.g. serum, urine, CSF, synovial fluid) is restricted to proteomics. In these cases the protein composition is derived from many tissues and processes. Proteomic analysis can yield information on disease processes and potential response to treatment. Examples will be presented of the identification of surrogate markers for hepatocellular carcinoma, breast cancer, from cerebrospinal fluid in humans and gentamicin toxicity in the rat.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11323197     DOI: 10.1016/s0378-4274(01)00269-7

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  14 in total

1.  Expression, by functional proteomics, of spontaneous tolerance in rat orthotopic liver transplantation.

Authors:  Tai-Long Pan; Pei-Wen Wang; Chao-Chen Huang; Shigeru Goto; Chao-Long Chen
Journal:  Immunology       Date:  2004-09       Impact factor: 7.397

Review 2.  Current application of proteomics in biomarker discovery for inflammatory bowel disease.

Authors:  Patrick Py Chan; Valerie C Wasinger; Rupert W Leong
Journal:  World J Gastrointest Pathophysiol       Date:  2016-02-15

3.  Preliminary use of differential scanning calorimetry of cerebrospinal fluid for the diagnosis of glioblastoma multiforme.

Authors:  Alexis A Chagovetz; Randy L Jensen; Larry Recht; Michael Glantz; Alexander M Chagovetz
Journal:  J Neurooncol       Date:  2011-07-01       Impact factor: 4.130

4.  Towards proteome standards: the use of absolute quantitation in high-throughput biomarker discovery.

Authors:  Tzu-Chiao Chao; Nicole Hansmeier; Rolf U Halden
Journal:  J Proteomics       Date:  2010-04-22       Impact factor: 4.044

5.  Large-scale site-specific mapping of the O-GalNAc glycoproteome.

Authors:  Weiming Yang; Angellina Song; Minghui Ao; Yuanwei Xu; Hui Zhang
Journal:  Nat Protoc       Date:  2020-07-17       Impact factor: 13.491

Review 6.  Proteomic analysis of cerebrospinal fluid: toward the identification of biomarkers for gliomas.

Authors:  Fang Shen; Yang Zhang; Yu Yao; Wei Hua; Hai-Shi Zhang; Jing-Song Wu; Ping Zhong; Liang-Fu Zhou
Journal:  Neurosurg Rev       Date:  2014-05-01       Impact factor: 3.042

Review 7.  Proteomics of gliomas: initial biomarker discovery and evolution of technology.

Authors:  Juliya Kalinina; Junmin Peng; James C Ritchie; Erwin G Van Meir
Journal:  Neuro Oncol       Date:  2011-09       Impact factor: 12.300

Review 8.  The prognostic molecular markers in hepatocellular carcinoma.

Authors:  Lun-Xiu Qin; Zhao-You Tang
Journal:  World J Gastroenterol       Date:  2002-06       Impact factor: 5.742

9.  Methodology and applications of disease biomarker identification in human serum.

Authors:  Ziad J Sahab; Suzan M Semaan; Qing-Xiang Amy Sang
Journal:  Biomark Insights       Date:  2007-02-14

Review 10.  Recent progress in predictive biomarkers for metastatic recurrence of human hepatocellular carcinoma: a review of the literature.

Authors:  Lun-Xiu Qin; Zhao-You Tang
Journal:  J Cancer Res Clin Oncol       Date:  2004-06-17       Impact factor: 4.553

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.