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Tropical Journal of Pharmaceutical Research
Pharmacotherapy Group, Faculty of Pharmacy, University of Benin, Benin City, Nigeria
ISSN: 1596-5996 EISSN: 1596-5996
Vol. 15, No. 7, 2016, pp. 1569-1578
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Bioline Code: pr16207
Full paper language: English
Document type: Review Article
Document available free of charge
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Tropical Journal of Pharmaceutical Research, Vol. 15, No. 7, 2016, pp. 1569-1578
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Proteomic profile of acute myeloid leukaemia: A review update
Almaiman, Amer Abdulrahman; Abdullah, Rasedee; Abdul, Ahmad bin; Allauddin, Zeenathul; Eid, Eltayeb EM & Saghir, Sultan Ayesh Mohammed
Abstract
Proteome analysis is a complex and dynamic process that encompasses several analytical platforms
that include protein sequencing, structural or expression proteomics, protein modification, sub-cellular
protein localization, protein-protein interaction and biological functional proteomics. In fact, expression
proteomics is extensively applied in a majority of biomarker detection studies because it provides a
detailed overview of differentially expressed proteins in cellular pathways and disease processes.
Proteomics are also effective and dynamic in protein-protein interactions and cross-talks between
interacting molecules of the cell. Proteomics has evolved into a crucial tool used to investigate the
biochemical changes that possibly lead to development of cancer biomarkers. This review draws
attention to the progress and advancements in cancer proteomics technology with the aim of simplifying
the understanding of the mechanisms underlying the disease and to contribute to detection of
biomarkers in addition to the development of novel treatments. Given that proteome is a dynamic entity
of cellular functions in health and disease, it is capable of reflecting the immediate environmental state
of cells and tissues as shown in this review. The review shows the possibility of elucidating the
pathophysiology of acute myeloid leukaemia (AML) through proteome expressions, thus confirming the
viability of proteome analysis in profiling AML.
Keywords
Acute myeloid leukaemia; Proteomics; Expression profile; Protein sequencing; Proteinprotein interaction; Biomarkers
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