Detection of Abundant Proteins in
Multiple Myeloma Cells by Proteomics |
Chun-Hua Lu1, 2#, Feng Ge1#, Zhi Liu3, Rong Li3,
Chuan-Le Xiao1, Hui-Lan Zeng4, Xin-Peng Lu1 and Qing-Yu He1*
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1Institute of Life and Health Engineering / National Engineering and Research
Center of Genetic Medicine , Jinan University, Guangzhou 510632, China. |
2College of Life Science and Technology, Guangxi University, Nanning, 530004, China. |
3Department of Hematology / Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. |
4Department of Hematology, the First Affiliated Hospital, Jinan University, Guangzhou 510632, China. |
#Equally contributed to this work |
| *Corresponding author: |
Dr. Qing-Yu He, PhD,
Institute of Life and Health
Engineering,
Jinan University, Guangzhou 510632, China,
Tel/Fax: +86-
20-85227039,
E-mail : tqyhe@jnu.edu.cn. |
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Received December 04, 2009; Accepted January 06, 2010; Published
January 06, 2010 |
| Citation: Lu CH, Ge F, Liu Z, Li R, Xiao CL, et al. (2010) Detection of Abundant Proteins in Mult iple Myeloma Cells by Proteomics. J Proteomics Bioinform 3: 005-009. doi:10.4172/jpb.1000115 |
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| Copyright: © 2010 Lu CH, et al. This is an open-access article distributed
under the terms of the Creative Commons Attribution License, which
permits unrestricted use, distribution, and reproduction in any medium,
provided the original author and source are credited. |
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| Abstract |
| Abundant proteins of human multiple myeloma (MM)
were globally analyzed and identified by using two- dimensional
gel electrophoresis (2DE) and MALDI-TOF/TOF
mass spectrometry (MS). Spots of 517 corresponding to
268 different proteins were detected on 2DE gels of protein
lysate from plasma cells isolated from eight newly
diagnosed MM patients. These identified proteins were
classified into different categories based on their molecular
functions and biological processes. The detailed experimental
procedures and MS spectra of all the identified
proteins have been deposited in the Proteomics Identifications
Database (PRIDE) (http://www.ebi.ac.uk/pride)
with Accession No. 8846 & 8847. This 2DE map of MM
proteins will be an invaluable resource for further
proteomics research that investigates proteomic changes
associated with biomarker identification and carcinogenesis
analysis of multiple myeloma. |
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