Literature DB >> 20681588

Defining central themes in breast cancer biology by differential proteomics: conserved regulation of cell spreading and focal adhesion kinase.

Nicholas W Bateman1, Mai Sun, Brian L Hood, Melanie S Flint, Thomas P Conrads.   

Abstract

Breast cancer is a highly heterogeneous disease, an observation that underscores the importance of elucidating conserved molecular characteristics, such as gene and protein expression, across breast cancer cell types toward providing a greater understanding of context-specific features central to this disease. Motivated by the goal of defining central biological themes across breast cancer cell subtypes, we conducted a global proteomic analysis of three breast cancer cell lines, MCF7, SK-BR-3, and MDA-MB-231, and compared these to a model of nontransformed mammary cells (MCF10A). Our results demonstrate modulation of proteins localized to the extracellular matrix, plasma membrane, and nucleus, along with coordinate decreases in proteins that regulate "cell spreading," a cellular event previously shown to be dysregulated in transformed cells. Protein interaction network analysis revealed the clustering of focal adhesion kinase (FAK), a fundamental regulator of cell spreading, with several proteins identified as mutually, differentially abundant across breast cancer cell lines that impact expression and activity of FAK, such as neprilysin and keratin 19. These analyses provide insights into conservation of protein expression across breast cancer cell subtypes, a subset of which warrants further investigation for their roles in the regulation of cell spreading and FAK in breast cancer.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20681588     DOI: 10.1021/pr100580e

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  20 in total

1.  Using proteomic approach to identify tumor-associated proteins as biomarkers in human esophageal squamous cell carcinoma.

Authors:  Jintao Zhang; Kaijuan Wang; Jianzhong Zhang; Samuel S Liu; Liping Dai; Jian-Ying Zhang
Journal:  J Proteome Res       Date:  2011-05-03       Impact factor: 4.466

2.  Quantitative analysis of energy metabolic pathways in MCF-7 breast cancer cells by selected reaction monitoring assay.

Authors:  Andrei P Drabovich; Maria P Pavlou; Apostolos Dimitromanolakis; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2012-04-25       Impact factor: 5.911

3.  Maximizing peptide identification events in proteomic workflows using data-dependent acquisition (DDA).

Authors:  Nicholas W Bateman; Scott P Goulding; Nicholas J Shulman; Avinash K Gadok; Karen K Szumlinski; Michael J MacCoss; Christine C Wu
Journal:  Mol Cell Proteomics       Date:  2013-07-02       Impact factor: 5.911

4.  Chemical inhibition of FBXO7 reduces inflammation and confers neuroprotection by stabilizing the mitochondrial kinase PINK1.

Authors:  Yuan Liu; Travis B Lear; Manish Verma; Kent Zq Wang; P Anthony Otero; Alison C McKelvey; Sarah R Dunn; Erin Steer; Nicholas W Bateman; Christine Wu; Yu Jiang; Nathaniel M Weathington; Mauricio Rojas; Charleen T Chu; Bill B Chen; Rama K Mallampalli
Journal:  JCI Insight       Date:  2020-06-04

Review 5.  Protein biomarkers for subtyping breast cancer and implications for future research.

Authors:  Claudius Mueller; Amanda Haymond; Justin B Davis; Alexa Williams; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2018-01-03       Impact factor: 3.940

6.  Integrated proteomic, transcriptomic, and biological network analysis of breast carcinoma reveals molecular features of tumorigenesis and clinical relapse.

Authors:  Marcin Imielinski; Sangwon Cha; Tomas Rejtar; Elizabeth A Richardson; Barry L Karger; Dennis C Sgroi
Journal:  Mol Cell Proteomics       Date:  2012-01-12       Impact factor: 5.911

7.  Elevated AKAP12 in paclitaxel-resistant serous ovarian cancer cells is prognostic and predictive of poor survival in patients.

Authors:  Nicholas W Bateman; Elizabeth Jaworski; Wei Ao; Guisong Wang; Tracy Litzi; Elizabeth Dubil; Charlotte Marcus; Kelly A Conrads; Pang-ning Teng; Brian L Hood; Neil T Phippen; Lisa A Vasicek; William P McGuire; Keren Paz; David Sidransky; Chad A Hamilton; G Larry Maxwell; Kathleen M Darcy; Thomas P Conrads
Journal:  J Proteome Res       Date:  2015-03-19       Impact factor: 4.466

8.  Glycoprotein profiles of human breast cells demonstrate a clear clustering of normal/benign versus malignant cell lines and basal versus luminal cell lines.

Authors:  Ten-Yang Yen; Bruce A Macher; Claudia A McDonald; Chris Alleyne-Chin; Leslie C Timpe
Journal:  J Proteome Res       Date:  2011-12-15       Impact factor: 4.466

9.  Systematic nucleo-cytoplasmic trafficking of proteins following exposure of MCF7 breast cancer cells to estradiol.

Authors:  Gabriella Pinto; Abdulrab Ahmed M Alhaiek; Sepan Amadi; Amal T Qattan; Mark Crawford; Marko Radulovic; Jasminka Godovac-Zimmermann
Journal:  J Proteome Res       Date:  2014-01-24       Impact factor: 4.466

10.  Systemic alteration of cell-surface and secreted glycoprotein expression in malignant breast cancer cell lines.

Authors:  Leslie C Timpe; Roger Yen; Nicole V Haste; Christina Litsakos-Cheung; Ten-Yang Yen; Bruce A Macher
Journal:  Glycobiology       Date:  2013-08-04       Impact factor: 4.313

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.