Literature DB >> 14708880

The application of clinical proteomics to cancer and other diseases.

William Clarke1, Zhen Zhang, Daniel W Chan.   

Abstract

The term "clinical proteomics" refers to the application of available proteomics technologies to current areas of clinical investigation. The ability to simultaneously and comprehensively examine changes in large numbers of proteins in the context of disease or other changes in physiological conditions holds great promise as a tool to unlock the solutions to difficult clinical research questions. Proteomics is a rapidly growing field that combines high throughput analytical methodologies such as two-dimensional gel electrophoresis and SELDI mass spectrometry methods with complex bioinformatics to study systems biology--the system of interest is defined by the investigator. Even with all its potential, however, studies must be carefully designed in order to differentiate true clinical differences in protein expression from differences originating from variation in sample collection, variation in experimental condition, and normal biological variability. Proteomic analyses are already widely in use for clinical studies ranging from cancer to other diseases such as cardiovascular disease, organ transplant, and pharmacodynamic studies.

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Year:  2003        PMID: 14708880     DOI: 10.1515/CCLM.2003.239

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  9 in total

Review 1.  Plasma membrane proteomics and its application in clinical cancer biomarker discovery.

Authors:  Rikke Leth-Larsen; Rikke R Lund; Henrik J Ditzel
Journal:  Mol Cell Proteomics       Date:  2010-04-08       Impact factor: 5.911

Review 2.  Contributions of advanced proteomics technologies to cancer diagnosis.

Authors:  Sergio Ciordia; Vivian de Los Ríos; Juan-Pablo Albar
Journal:  Clin Transl Oncol       Date:  2006-08       Impact factor: 3.405

Review 3.  Diagnosis Biomarkers of Cholangiocarcinoma in Human Bile: An Evidence-Based Study.

Authors:  Fang Bao; Jiayue Liu; Haiyang Chen; Lu Miao; Zhaochao Xu; Guixin Zhang
Journal:  Cancers (Basel)       Date:  2022-08-13       Impact factor: 6.575

4.  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 5.  Cancer proteomics by quantitative shotgun proteomics.

Authors:  Emily I Chen; John R Yates
Journal:  Mol Oncol       Date:  2007-09       Impact factor: 6.603

6.  Effect of Turkish propolis extracts on proteome of prostate cancer cell line.

Authors:  Yaşam Barlak; Orhan Değer; Meltem Çolak; Senem Ceren Karataylı; Abdurrahman Mithat Bozdayı; Fulya Yücesan
Journal:  Proteome Sci       Date:  2011-12-07       Impact factor: 2.480

7.  Data processing and classification analysis of proteomic changes: a case study of oil pollution in the mussel, Mytilus edulis.

Authors:  Tiphaine Monsinjon; Odd Ketil Andersen; François Leboulenger; Thomas Knigge
Journal:  Proteome Sci       Date:  2006-09-13       Impact factor: 2.480

8.  Optimising the use of TRIzol-extracted proteins in surface enhanced laser desorption/ ionization (SELDI) analysis.

Authors:  Tsz-Kwong Man; Yiting Li; Tu Anh Dang; Jianhe Shen; Laszlo Perlaky; Ching C Lau
Journal:  Proteome Sci       Date:  2006-03-23       Impact factor: 2.480

9.  Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients.

Authors:  Wenjing Wang; Bo Wang; Chang Liu; Jing Yan; Xiaofan Xiong; Xiaofei Wang; Juan Yang; Bo Guo; Chen Huang
Journal:  Aging (Albany NY)       Date:  2020-06-12       Impact factor: 5.682

  9 in total

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