Literature DB >> 28684183

Proteomic approaches to decipher cancer cell secretome.

Jessica Brandi1, Marcello Manfredi2, Giulia Speziali1, Fabio Gosetti3, Emilio Marengo3, Daniela Cecconi1.   

Abstract

In this review, we give an overview of the actual proteomic approaches used in the study of cancer cells secretome. In particular, we describe the proteomic strategies to decipher cancer cell secretome initially focusing on the different aspects of sample preparation. We examine the issues related to the presence of low abundant proteins, the analysis of secreted proteins in the conditioned media with or without the removal of fetal bovine serum and strategies developed to reduce intracellular protein contamination. As regards the identification and quantification of secreted proteins, we described the different proteomic approaches used, i.e. gel-based, MS-based (label-based and label-free), and the antibody and array-based methods, together with some of the most recent applications in the field of cancer research. Moreover, we describe the bioinformatics tools developed for the in silico validation and characterization of cancer cells secretome. We also discuss the most important available tools for protein annotation and for prediction of classical and non-classical secreted proteins. In summary in this review advances, concerns and challenges in the field of cancer secretome analysis are discussed.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Conditioned media; Mass spectrometry; Secretome

Mesh:

Substances:

Year:  2017        PMID: 28684183     DOI: 10.1016/j.semcdb.2017.06.030

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  12 in total

1.  Transcriptomic and Functional Evidence for Differential Effects of MCF-7 Breast Cancer Cell-Secretome on Vascular and Lymphatic Endothelial Cell Growth.

Authors:  Giovanna Azzarito; Michele Visentin; Brigitte Leeners; Raghvendra K Dubey
Journal:  Int J Mol Sci       Date:  2022-06-28       Impact factor: 6.208

2.  A Novel Approach for the Discovery of Biomarkers of Radiotherapy Response in Breast Cancer.

Authors:  James Meehan; Mark Gray; Carlos Martínez-Pérez; Charlene Kay; Jimi C Wills; Ian H Kunkler; J Michael Dixon; Arran K Turnbull
Journal:  J Pers Med       Date:  2021-08-14

3.  Protein Secretion Prediction Tools and Extracellular Vesicles Databases.

Authors:  Daniela Cecconi; Claudia Di Carlo; Jessica Brandi
Journal:  Methods Mol Biol       Date:  2021

4.  The Mutant p53-Driven Secretome Has Oncogenic Functions in Pancreatic Ductal Adenocarcinoma Cells.

Authors:  Giovanna Butera; Jessica Brandi; Chiara Cavallini; Aldo Scarpa; Rita T Lawlor; Maria Teresa Scupoli; Emílio Marengo; Daniela Cecconi; Marcello Manfredi; Massimo Donadelli
Journal:  Biomolecules       Date:  2020-06-09

5.  A Systematic Investigation of the Malignant Functions and Diagnostic Potential of the Cancer Secretome.

Authors:  Jonathan L Robinson; Amir Feizi; Mathias Uhlén; Jens Nielsen
Journal:  Cell Rep       Date:  2019-03-05       Impact factor: 9.423

6.  Differential secretome of pancreatic cancer cells in serum-containing conditioned medium reveals CCT8 as a new biomarker of pancreatic cancer invasion and metastasis.

Authors:  Xiaodong Tan; Bing Song; Peng Liu; Lingming Kong; Haoyi Jin; Yunhao Wu
Journal:  Cancer Cell Int       Date:  2019-10-11       Impact factor: 5.722

Review 7.  Understanding cell-cell communication and signaling in the colorectal cancer microenvironment.

Authors:  Shaikha AlMusawi; Mehreen Ahmed; Abdolrahman S Nateri
Journal:  Clin Transl Med       Date:  2021-02

8.  Tumor Suppressor Role of Wild-Type P53-Dependent Secretome and Its Proteomic Identification in PDAC.

Authors:  Giovanna Butera; Marcello Manfredi; Alessandra Fiore; Jessica Brandi; Raffaella Pacchiana; Veronica De Giorgis; Elettra Barberis; Virginia Vanella; Marilisa Galasso; Maria Teresa Scupoli; Emilio Marengo; Daniela Cecconi; Massimo Donadelli
Journal:  Biomolecules       Date:  2022-02-13

9.  Identification of Three Core Secretome Genes Associated with Immune Infiltration in High Tumor Mutation Burden Across 14 Major Solid Tumors.

Authors:  Huan Wu; Hanchu Wang; Zhenyou Jiang; Yue Chen
Journal:  Int J Gen Med       Date:  2021-10-14

10.  Quiescin Sulfhydryl Oxidase 1 (QSOX1) Secreted by Lung Cancer Cells Promotes Cancer Metastasis.

Authors:  Hye-Jin Sung; Jung-Mo Ahn; Yeon-Hee Yoon; Sang-Su Na; Young-Jin Choi; Yong-In Kim; Soo-Youn Lee; Eung-Bae Lee; Sukki Cho; Je-Yoel Cho
Journal:  Int J Mol Sci       Date:  2018-10-17       Impact factor: 5.923

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