Literature DB >> 23892916

Combined gene expression and proteomic analysis of EGF induced apoptosis in A431 cells suggests multiple pathways trigger apoptosis.

Ibrahim Alanazi1, Esmaeil Ebrahimie1, Peter Hoffmann1, David L Adelson2.   

Abstract

A431 cells, derived from epidermoid carcinoma, overexpress the epidermal growth factor receptor (EGFR) and when treated with a high dose of EGF will undergo apoptosis. We exploited microarray and proteomics techniques and network prediction to study the regulatory mechanisms of EGF-induced apoptosis in A431 cells. We observed significant changes in gene expression in 162 genes, approximately evenly split between pro-apoptotic and anti-apoptotic genes and identified 30 proteins from the proteomic data that had either pro or anti-apoptotic annotation. Our correlation analysis of gene expression and proteome modeled a number of distinct sub-networks that are associated with the onset of apoptosis, allowing us to identify specific pathways and components. These include components of the interferon signalling pathway, and down stream components, including cytokines and suppressors of cytokine signalling. A central component of almost all gene expression sub-networks identified was TP53, which is mutated in A431 cells, and was down regulated. This down regulation of TP53 appeared to be correlated with proteomic sub-networks of cytoskeletal or cell adhesion components that might induce apoptosis by triggering cytochrome C release. Of the only three genes also differentially expressed as proteins, only serpinb1 had a known association with apoptosis. We confirmed that up regulation and cleavage of serpinb1 into L-DNAaseII was correlated with the induction of apoptosis. It is unlikely that a single pathway, but more likely a combination of pathways is needed to trigger EGF induced apoptosis in A431cells.

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Year:  2013        PMID: 23892916     DOI: 10.1007/s10495-013-0887-6

Source DB:  PubMed          Journal:  Apoptosis        ISSN: 1360-8185            Impact factor:   4.677


  10 in total

1.  Computational Systems Biology Approach Predicts Regulators and Targets of microRNAs and Their Genomic Hotspots in Apoptosis Process.

Authors:  Ibrahim O Alanazi; Esmaeil Ebrahimie
Journal:  Mol Biotechnol       Date:  2016-07       Impact factor: 2.695

2.  Photo-immobilized EGF chemical gradients differentially impact breast cancer cell invasion and drug response in defined 3D hydrogels.

Authors:  Stephanie A Fisher; Roger Y Tam; Ana Fokina; M Mohsen Mahmoodi; Mark D Distefano; Molly S Shoichet
Journal:  Biomaterials       Date:  2018-02-13       Impact factor: 12.479

3.  MicroRNAs are part of the regulatory network that controls EGF induced apoptosis, including elements of the JAK/STAT pathway, in A431 cells.

Authors:  Ibrahim Alanazi; Peter Hoffmann; David L Adelson
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

4.  Prediction of potential cancer-risk regions based on transcriptome data: towards a comprehensive view.

Authors:  Arghavan Alisoltani; Hossein Fallahi; Mahdi Ebrahimi; Mansour Ebrahimi; Esmaeil Ebrahimie
Journal:  PLoS One       Date:  2014-05-05       Impact factor: 3.240

5.  EGFR Activation Leads to Cell Death Independent of PI3K/AKT/mTOR in an AD293 Cell Line.

Authors:  Cezary Treda; Marta Popeda; Magdalena Ksiazkiewicz; Dawid P Grzela; Maciej P Walczak; Mateusz Banaszczyk; Joanna Peciak; Ewelina Stoczynska-Fidelus; Piotr Rieske
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

6.  Isolation, Characterization, Cryopreservation of Human Amniotic Stem Cells and Differentiation to Osteogenic and Adipogenic Cells.

Authors:  Shiva Gholizadeh-Ghaleh Aziz; Fatima Pashaei-Asl; Zahra Fardyazar; Maryam Pashaiasl
Journal:  PLoS One       Date:  2016-07-19       Impact factor: 3.240

7.  Keratin 13 Is Enriched in Prostate Tubule-Initiating Cells and May Identify Primary Prostate Tumors that Metastasize to the Bone.

Authors:  Sandy Liu; Radu M Cadaneanu; Baohui Zhang; Lihong Huo; Kevin Lai; Xinmin Li; Colette Galet; Tristan R Grogan; David Elashoff; Stephen J Freedland; Matthew Rettig; William J Aronson; Beatrice S Knudsen; Michael S Lewis; Isla P Garraway
Journal:  PLoS One       Date:  2016-10-06       Impact factor: 3.240

8.  Differential expression of seven conserved microRNAs in response to abiotic stress and their regulatory network in Helianthus annuus.

Authors:  Reyhaneh Ebrahimi Khaksefidi; Shirin Mirlohi; Fahimeh Khalaji; Zahra Fakhari; Behrouz Shiran; Hossein Fallahi; Fariba Rafiei; Hikmet Budak; Esmaeil Ebrahimie
Journal:  Front Plant Sci       Date:  2015-09-17       Impact factor: 5.753

9.  The role of EGF-EGFR signalling pathway in hepatocellular carcinoma inflammatory microenvironment.

Authors:  Peixin Huang; Xiaojing Xu; Lingyan Wang; Bijun Zhu; Xiangdong Wang; Jingling Xia
Journal:  J Cell Mol Med       Date:  2013-11-25       Impact factor: 5.310

10.  Incidence of Hepatocellular Carcinoma after Treatment with Sofosbuvir-Based or Sofosbuvir-Free Regimens in Patients with Chronic Hepatitis C.

Authors:  Eiichi Ogawa; Hideyuki Nomura; Makoto Nakamuta; Norihiro Furusyo; Eiji Kajiwara; Kazufumi Dohmen; Akira Kawano; Aritsune Ooho; Koichi Azuma; Kazuhiro Takahashi; Takeaki Satoh; Toshimasa Koyanagi; Yasunori Ichiki; Masami Kuniyoshi; Kimihiko Yanagita; Hiromasa Amagase; Chie Morita; Rie Sugimoto; Masaki Kato; Shinji Shimoda; Jun Hayashi
Journal:  Cancers (Basel)       Date:  2020-09-11       Impact factor: 6.639

  10 in total

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