Proteome analysis of human pancreatic cancer cell lines with highly liver metastatic potential by antibody microarray
- PMID: 20960035
- DOI: 10.1007/s11010-010-0619-y
Proteome analysis of human pancreatic cancer cell lines with highly liver metastatic potential by antibody microarray
Abstract
Antibody microarrays have been successfully used to determine relative abundance of key proteins in various cancers and other diseases. We have previously showed liver metastatic-related genes between the metastatic pancreatic cancer line (SW1990HM) and its parental line (SW1990). In this study, we searched for potential markers for metastatic progression using antibody microarrays. The SpringBio Antibody Microarrays were used to analysis the different proteomes between SW1990HM and SW1990 cells. A standard ≥2.0-fold cutoff value was used to determine differentially expressed proteins and Western blotting analysis further confirmed the results. Antibody microarrays revealed that 40 proteins were reproducibly altered more than 2-fold between the selected variant and its parental counterpart; 14 of the proteins were up-regulated, and 26 were down-regulated. Most of the up-regulated proteins (7/14) play a role in tumor signal transduction, while a number of down-regulated proteins (10/26) function in cell differentiation; this might be crucial for pancreatic cancer metastasis. Four dysregulated proteins were validated by western blotting in the cell lines. Interestingly, the up-regulation of Glucagon and down-regulation of Prolactin were further confirmed in the culture supernatants by western blotting. These proteomic data are valuable for understanding pancreatic cancer metastasis and searching for potential markers of metastatic progression.
Similar articles
-
Facing current quantification challenges in protein microarrays.J Biomed Biotechnol. 2012;2012:831347. doi: 10.1155/2012/831347. Epub 2012 Apr 24. J Biomed Biotechnol. 2012. PMID: 22619499 Free PMC article. Review.
-
Identification of differentially expressed proteins from primary versus metastatic pancreatic cancer cells using subcellular proteomics.Cancer Genomics Proteomics. 2012 Sep-Oct;9(5):257-63. Cancer Genomics Proteomics. 2012. PMID: 22990105
-
Quantitative proteome analysis of HCC cell lines with different metastatic potentials by SILAC.Proteomics. 2008 Dec;8(23-24):5108-18. doi: 10.1002/pmic.200800280. Proteomics. 2008. PMID: 19016532
-
Dual-color proteomic profiling of complex samples with a microarray of 810 cancer-related antibodies.Mol Cell Proteomics. 2010 Jun;9(6):1271-80. doi: 10.1074/mcp.M900419-MCP200. Epub 2010 Feb 16. Mol Cell Proteomics. 2010. PMID: 20164060 Free PMC article.
-
Design of high-density antibody microarrays for disease proteomics: key technological issues.J Proteomics. 2009 Aug 20;72(6):928-35. doi: 10.1016/j.jprot.2009.01.027. Epub 2009 Feb 4. J Proteomics. 2009. PMID: 19457338 Review.
Cited by
-
Comparison of tear protein levels in breast cancer patients and healthy controls using a de novo proteomic approach.Oncol Rep. 2012 Aug;28(2):429-38. doi: 10.3892/or.2012.1849. Epub 2012 Jun 1. Oncol Rep. 2012. PMID: 22664934 Free PMC article.
-
RNA interference against MDM2 suppresses tumor growth and metastasis in pancreatic carcinoma SW1990HM cells.Mol Cell Biochem. 2014 Feb;387(1-2):1-8. doi: 10.1007/s11010-011-1208-4. Epub 2011 Dec 27. Mol Cell Biochem. 2014. PMID: 22200978
-
Facing current quantification challenges in protein microarrays.J Biomed Biotechnol. 2012;2012:831347. doi: 10.1155/2012/831347. Epub 2012 Apr 24. J Biomed Biotechnol. 2012. PMID: 22619499 Free PMC article. Review.
-
Cyr61-positive cancer stem-like cells enhances distal metastases of pancreatic cancer.Oncotarget. 2016 Nov 8;7(45):73160-73170. doi: 10.18632/oncotarget.12248. Oncotarget. 2016. PMID: 27705906 Free PMC article.
-
Cyr61 promotes growth of pancreatic carcinoma via nuclear exclusion of p27.Tumour Biol. 2014 Nov;35(11):11147-51. doi: 10.1007/s13277-014-2423-x. Epub 2014 Aug 8. Tumour Biol. 2014. PMID: 25104090
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical