Literature DB >> 16998599

A path or a new road in laboratory diagnostics? Biological mass spectrometry: facts and perspectives.

Gábor Elek1, Károly Lapis.   

Abstract

Proteins in tissues and biofluids and their many attributes define the proteome. Proteome can be directly correlated to known diseases and histological regions allowing the diagnosis and monitoring of disease progression as well predicting the patient's response to specific treatments. Proteomics performs large-scale, high-throughput characterization of the human proteome, among others by biological mass spectrometry. Proteinchip technology coupled with bioinformatics is able to screen any protein source for putative disease biomarkers from a small sample volume (microliter range) by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). This article discusses on a basic level both the technology and reliability of these methods.

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Year:  2006        PMID: 16998599     DOI: 10.1007/bf02893366

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   3.201


  32 in total

1.  Heterogeneity within MALDI samples as revealed by mass spectrometric imaging.

Authors:  R W Garden; J V Sweedler
Journal:  Anal Chem       Date:  2000-01-01       Impact factor: 6.986

Review 2.  Back to the future: the human protein index (HPI) and the agenda for post-proteomic biology.

Authors:  N G Anderson; A Matheson; N L Anderson
Journal:  Proteomics       Date:  2001-01       Impact factor: 3.984

3.  Point: Proteomic patterns in biological fluids: do they represent the future of cancer diagnostics?

Authors:  Eleftherios P Diamandis
Journal:  Clin Chem       Date:  2003-08       Impact factor: 8.327

4.  High-resolution serum proteomic features for ovarian cancer detection.

Authors:  T P Conrads; V A Fusaro; S Ross; D Johann; V Rajapakse; B A Hitt; S M Steinberg; E C Kohn; D A Fishman; G Whitely; J C Barrett; L A Liotta; E F Petricoin; T D Veenstra
Journal:  Endocr Relat Cancer       Date:  2004-06       Impact factor: 5.678

5.  Ultra-high-efficiency strong cation exchange LC/RPLC/MS/MS for high dynamic range characterization of the human plasma proteome.

Authors:  Yufeng Shen; Jon M Jacobs; David G Camp; Ruihua Fang; Ronald J Moore; Richard D Smith; Wenzhong Xiao; Ronald W Davis; Ronald G Tompkins
Journal:  Anal Chem       Date:  2004-02-15       Impact factor: 6.986

Review 6.  Toxicoproteomics: proteomics applied to toxicology and pathology.

Authors:  Barbara A Wetmore; B Alex Merrick
Journal:  Toxicol Pathol       Date:  2004 Nov-Dec       Impact factor: 1.902

7.  SELDI-TOF MS for diagnostic proteomics.

Authors:  Haleem J Issaq; Thomas P Conrads; DaRue A Prieto; Radhakrishna Tirumalai; Timothy D Veenstra
Journal:  Anal Chem       Date:  2003-04-01       Impact factor: 6.986

8.  SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer.

Authors:  Emanuel F Petricoin; Lance A Liotta
Journal:  Curr Opin Biotechnol       Date:  2004-02       Impact factor: 9.740

Review 9.  Expression and functional proteomics studies in colorectal cancer.

Authors:  Marc A Reymond; Ralf Steinert; Thilo Kähne; Emil Sagynaliev; Abdelkarim S Allal; Hans Lippert
Journal:  Pathol Res Pract       Date:  2004       Impact factor: 3.250

10.  Proteomic profiling of urinary proteins in renal cancer by surface enhanced laser desorption ionization and neural-network analysis: identification of key issues affecting potential clinical utility.

Authors:  Mark A Rogers; Paul Clarke; Jason Noble; Nicholas P Munro; Alan Paul; Peter J Selby; Rosamonde E Banks
Journal:  Cancer Res       Date:  2003-10-15       Impact factor: 12.701

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  3 in total

Review 1.  Proteomics: applications in transfusion medicine.

Authors:  Giancarlo Maria Liumbruno
Journal:  Blood Transfus       Date:  2008-04       Impact factor: 3.443

2.  Differential cytokine pattern in the exhaled breath of patients with lung cancer.

Authors:  Tamás Kullmann; Imre Barta; Eszter Csiszér; Balázs Antus; Ildikó Horváth
Journal:  Pathol Oncol Res       Date:  2008-04-16       Impact factor: 3.201

3.  Inverse changes in plasma tetranectin and titin levels in patients with type 2 diabetes mellitus: a potential predictor of acute myocardial infarction?

Authors:  Mohd Aizat Abdul Rahim; Zubaidah Haji Abdul Rahim; Wan Azman Wan Ahmad; Marina Mohd Bakri; Muhammad Dzafir Ismail; Onn Haji Hashim
Journal:  Acta Pharmacol Sin       Date:  2018-02-08       Impact factor: 6.150

  3 in total

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