Literature DB >> 25124533

Mass spectrometry based quantitative proteomics and integrative network analysis accentuates modulating roles of annexin-1 in mammary tumorigenesis.

Hannah L F Swa1, Asfa Alli Shaik, Lina H K Lim, Jayantha Gunaratne.   

Abstract

Annexin-1 (ANXA1) is known to be involved in important cellular processes and implicated in cancer. Our previous study showed its roles in cell migration and DNA-damage response processes in breast cancer initiation. In order to understand its roles in tumorigenesis, we extended our studies to analyze tumors derived from polyomavirus middle T-antigen ANXA1 heterozygous (ANXA1(+/-) ) and ANXA1 null (ANXA1(-/-) ) mice. We performed quantitative comparison of ANXA1(+/-) and ANXA1(-/-) tumors employing reductive dimethyl labeling quantitative proteomics. We observed 253 differentially expressed proteins (DEPs) with high statistical significance among over 5000 quantified proteins. Combinatorial use of pathway and network-based computational analyses of the DEPs revealed that ANXA1 primarily modulates processes related to cytoskeletal remodeling and immune responses in these mammary tumors. Of particular note, ANXA1(-/-) tumor showed reduced expression of a known epithelial-to-mesenchymal transition (EMT) marker vimentin, as well as myosin light-chain kinase, which has been reported to induce Rho-kinase mediated assembly of stress fibers known to be implicated in EMT. Integrative network analysis of established interactome of ANXA1 alongside with DEPs further highlights the involvement of ANXA1 in EMT. Functional role of ANXA1 in tumorigenesis was established in invasion assay where knocking down ANXA1 in murine mammary tumor cell line 168FARN showed lower invasive capability. Altogether, this study emphasizes that ANXA1 plays modulating roles contributing to invasion-metastasis in mammary tumorigenesis, distinctive to its roles in cancer initiation.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Annexin-1; Breast cancer; Cell biology; Invasion-metastasis; Network analysis; Quantitative proteomics

Mesh:

Substances:

Year:  2014        PMID: 25124533     DOI: 10.1002/pmic.201400175

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  10 in total

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Journal:  J Proteomics       Date:  2016-05-03       Impact factor: 4.044

Review 2.  Stable isotope dimethyl labelling for quantitative proteomics and beyond.

Authors:  Jue-Liang Hsu; Shu-Hui Chen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

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Authors:  Yile Huang; Cong Zhang; Cairen Chen; Shilong Sun; He Zheng; Shuli Wan; Qingyong Meng; Yubin Chen; Jun Wei
Journal:  Tumour Biol       Date:  2014-10-25

4.  Network based subcellular proteomics in monocyte membrane revealed novel candidate genes involved in osteoporosis.

Authors:  Y Zeng; L Zhang; W Zhu; H He; H Sheng; Q Tian; F-Y Deng; L-S Zhang; H-G Hu; H-W Deng
Journal:  Osteoporos Int       Date:  2017-07-24       Impact factor: 4.507

5.  GWA-based pleiotropic analysis identified potential SNPs and genes related to type 2 diabetes and obesity.

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7.  Phosphoproteomics reveals network rewiring to a pro-adhesion state in annexin-1-deficient mammary epithelial cells.

Authors:  Asfa Alli-Shaik; Sheena Wee; Lina H K Lim; Jayantha Gunaratne
Journal:  Breast Cancer Res       Date:  2017-12-12       Impact factor: 6.466

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9.  Biomarkers of tumor invasiveness in proteomics (Review).

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Review 10.  The Role of ATRA, Natural Ligand of Retinoic Acid Receptors, on EMT-Related Proteins in Breast Cancer: Minireview.

Authors:  Pavel Bobal; Marketa Lastovickova; Janette Bobalova
Journal:  Int J Mol Sci       Date:  2021-12-12       Impact factor: 5.923

  10 in total

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