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Carter TY, Gadwala S, Chougule AB, Bui APN, Sanders AC, Chaerkady R, Cormier N, Cole RN, Thomas JH. Actomyosin contraction during cellularization is regulated in part by Src64 control of Actin 5C protein levels. Genesis 2019; 57:e23297. [PMID: 30974046 DOI: 10.1002/dvg.23297] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 03/27/2019] [Indexed: 11/09/2022]
Abstract
Src64 is required for actomyosin contraction during cellularization of the Drosophila embryonic blastoderm. The mechanism of actomyosin ring constriction is poorly understood even though a number of cytoskeletal regulators have been implicated in the assembly, organization, and contraction of these microfilament rings. How these cytoskeletal processes are regulated during development is even less well understood. To investigate the role of Src64 as an upstream regulator of actomyosin contraction, we conducted a proteomics screen to identify proteins whose expression levels are controlled by src64. Global levels of actin are reduced in src64 mutant embryos. Furthermore, we show that reduction of the actin isoform Actin 5C causes defects in actomyosin contraction during cellularization similar to those caused by src64 mutation, indicating that a relatively high level of Actin 5C is required for normal actomyosin contraction and furrow canal structure. However, reduction of Actin 5C levels only slows down actomyosin ring constriction rather than preventing it, suggesting that src64 acts not only to modulate actin levels, but also to regulate the actomyosin cytoskeleton by other means.
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Affiliation(s)
- Tammy Y Carter
- Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, Texas
| | - Swetha Gadwala
- Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, Texas
| | - Ashish B Chougule
- Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, Texas
| | - Anh P N Bui
- Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, Texas
| | - Alex C Sanders
- Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, Texas
| | - Raghothama Chaerkady
- Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Nathaly Cormier
- Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, Texas
| | - Robert N Cole
- Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jeffrey H Thomas
- Department of Cell Biology and Biochemistry, Texas Tech University Health Sciences Center, Lubbock, Texas
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2
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Ma X, Zhang L, Song J, Nguyen E, Lee RS, Rodgers SJ, Li F, Huang C, Schittenhelm RB, Chan H, Chheang C, Wu J, Brown KK, Mitchell CA, Simpson KJ, Daly RJ. Characterization of the Src-regulated kinome identifies SGK1 as a key mediator of Src-induced transformation. Nat Commun 2019; 10:296. [PMID: 30655532 PMCID: PMC6336867 DOI: 10.1038/s41467-018-08154-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Accepted: 12/20/2018] [Indexed: 12/13/2022] Open
Abstract
Despite significant progress, our understanding of how specific oncogenes transform cells is still limited and likely underestimates the complexity of downstream signalling events. To address this gap, we use mass spectrometry-based chemical proteomics to characterize the global impact of an oncogene on the expressed kinome, and then functionally annotate the regulated kinases. As an example, we identify 63 protein kinases exhibiting altered expression and/or phosphorylation in Src-transformed mammary epithelial cells. An integrated siRNA screen identifies nine kinases, including SGK1, as being essential for Src-induced transformation. Accordingly, we find that Src positively regulates SGK1 expression in triple negative breast cancer cells, which exhibit a prominent signalling network governed by Src family kinases. Furthermore, combined inhibition of Src and SGK1 reduces colony formation and xenograft growth more effectively than either treatment alone. Therefore, this approach not only provides mechanistic insights into oncogenic transformation but also aids the design of improved therapeutic strategies. The systemic understanding of oncogenic kinase signalling is still limited. Here, the authors combine chemical proteomics with functional screens to assess the impact of oncogenic Src on the expressed kinome and identify SGK1 as a critical mediator of Src-induced cell transformation.
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Affiliation(s)
- Xiuquan Ma
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Luxi Zhang
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Jiangning Song
- Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia.,Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Monash Centre for Data Science, Faculty of Information Technology, Monash University, Melbourne, VIC, 3800, Australia
| | - Elizabeth Nguyen
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Rachel S Lee
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Samuel J Rodgers
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Fuyi Li
- Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia.,Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia
| | - Cheng Huang
- Monash Biomedical Proteomics Facility and Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia
| | - Ralf B Schittenhelm
- Monash Biomedical Proteomics Facility and Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia
| | - Howard Chan
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Chanly Chheang
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Jianmin Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Centre for Cancer Bioinformatics, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Kristin K Brown
- Cancer Therapeutics Program and Cancer Metabolism Program, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.,Department of Biochemistry and Molecular Biology, The University of Melbourne, Melbourne, VIC, 3010, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Christina A Mitchell
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia.,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Kaylene J Simpson
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, 3010, Australia.,Victorian Centre for Functional Genomics, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - Roger J Daly
- Cancer Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC, 3800, Australia. .,Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia.
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3
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JunD/AP-1 Antagonizes the Induction of DAPK1 To Promote the Survival of v-Src-Transformed Cells. J Virol 2016; 91:JVI.01925-16. [PMID: 27795443 DOI: 10.1128/jvi.01925-16] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 10/07/2016] [Indexed: 01/01/2023] Open
Abstract
The increase in AP-1 activity is a hallmark of cell transformation by tyrosine kinases. Previously, we reported that blocking AP-1 using the c-Jun dominant negative mutant TAM67 induced senescence, adipogenesis, or apoptosis in v-Src-transformed chicken embryo fibroblasts (CEFs) whereas inhibition of JunD by short hairpin RNA (shRNA) specifically induced apoptosis. To investigate the role of AP-1 in Src-mediated transformation, we undertook a gene profiling study to characterize the transcriptomes of v-Src-transformed CEFs expressing either TAM67 or the JunD shRNA. Our study revealed a cluster of 18 probe sets upregulated exclusively in response to AP-1/JunD impairment and v-Src transformation. Four of these probe sets correspond to genes involved in the interferon pathway. One gene in particular, death-associated protein kinase 1 (DAPK1), is a C/EBPβ-regulated mediator of apoptosis in gamma interferon (IFN-γ)-induced cell death. Here, we show that inhibition of DAPK1 abrogates cell death in v-Src-transformed cells expressing the JunD shRNA. Chromatin immunoprecipitation data indicated that C/EBPβ was recruited to the DAPK1 promoter while the expression of a dominant negative mutant of C/EBPβ abrogated the induction of DAPK1 in response to the inhibition of AP-1. In contrast, as determined by chromatin immunoprecipitation (ChIP) assays, JunD was not detected on the DAPK1 promoter under any conditions, suggesting that JunD promotes survival by indirectly antagonizing the expression of DAPK1 in v-Src transformed cells. IMPORTANCE Transformation by the v-Src oncoprotein causes extensive changes in gene expression in primary cells such as chicken embryo fibroblasts. These changes, determining the properties of transformed cells, are controlled in part at the transcriptional level. Much attention has been devoted to transcription factors such as AP-1 and NF-κB and the control of genes associated with a more aggressive phenotype. In this report, we describe a novel mechanism of action determined by the JunD component of AP-1, a factor enhancing cell survival in v-Src-transformed cells. We show that the loss of JunD results in the aberrant activation of a genetic program leading to cell death. This program requires the activation of the tumor suppressor death-associated protein kinase 1 (DAPK1). Since DAPK1 is phosphorylated and inhibited by v-Src, these results highlight the importance of this kinase and the multiple mechanisms controlled by v-Src to antagonize the tumor suppressor function of DAPK1.
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Broecker F, Hardt C, Herwig R, Timmermann B, Kerick M, Wunderlich A, Schweiger MR, Borsig L, Heikenwalder M, Lehrach H, Moelling K. Transcriptional signature induced by a metastasis-promoting c-Src mutant in a human breast cell line. FEBS J 2016; 283:1669-88. [PMID: 26919036 DOI: 10.1111/febs.13694] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 01/20/2016] [Accepted: 02/23/2016] [Indexed: 01/06/2023]
Abstract
UNLABELLED Deletions at the C-terminus of the proto-oncogene protein c-Src kinase are found in the viral oncogene protein v-Src as well as in some advanced human colon cancers. They are associated with increased kinase activity and cellular invasiveness. Here, we analyzed the mRNA expression signature of a constitutively active C-terminal mutant of c-Src, c-Src(mt), in comparison with its wild-type protein, c-Src(wt), in the human non-transformed breast epithelial cell line MCF-10A. We demonstrated previously that the mutant altered migratory and metastatic properties. Genome-wide transcriptome analysis revealed that c-Src(mt) de-regulated the expression levels of approximately 430 mRNAs whose gene products are mainly involved in the cellular processes of migration and adhesion, apoptosis and protein synthesis. 82.9% of these genes have previously been linked to cellular migration, while the others play roles in RNA transport and splicing processes, for instance. Consistent with the transcriptome data, cells expressing c-Src(mt), but not those expressing c-Src(wt), showed the capacity to metastasize into the lungs of mice in vivo. The mRNA expression profile of c-Src(mt)-expressing cells shows significant overlap with that of various primary human tumor samples, possibly reflecting elevated Src activity in some cancerous cells. Expression of c-Src(mt) led to elevated migratory potential. We used this model system to analyze the transcriptional changes associated with an invasive cellular phenotype. These genes and pathways de-regulated by c-Src(mt) may provide suitable biomarkers or targets of therapeutic approaches for metastatic cells. DATABASE This project was submitted to the National Center for Biotechnology Information BioProject under ID PRJNA288540. The Illumina RNA-Seq reads are available in the National Center for Biotechnology Information Sequence Read Archive under study ID SRP060008 with accession numbers SRS977414 for MCF-10A cells, SRS977717 for mock cells, SRS978053 for c-Src(wt) cells and SRS978046 for c-Src(mt) cells.
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Affiliation(s)
- Felix Broecker
- Max Planck Institute for Molecular Genetics, Berlin, Germany.,University of Zurich, Switzerland
| | | | - Ralf Herwig
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | | | - Martin Kerick
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | | | | | - Lubor Borsig
- Institute of Physiology, Zurich Center for Integrative Human Physiology, University of Zurich, Switzerland
| | - Mathias Heikenwalder
- Institute of Virology, Technische Universität München, Germany.,Institute of Virology, Helmholtz Zentrum Munich, Germany.,Department Chronic Inflammation and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hans Lehrach
- Max Planck Institute for Molecular Genetics, Berlin, Germany.,Dahlem Centre for Genome Research and Medical Systems Biology, Berlin, Germany.,Alacris Theranostics GmbH, Berlin, Germany
| | - Karin Moelling
- Max Planck Institute for Molecular Genetics, Berlin, Germany.,University of Zurich, Switzerland
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Fernandes J. The study of homology between tumor progression genes and members of retroviridae as a tool to predict target-directed therapy failure. Front Pharmacol 2015; 6:92. [PMID: 25983693 PMCID: PMC4416442 DOI: 10.3389/fphar.2015.00092] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2015] [Accepted: 04/16/2015] [Indexed: 11/30/2022] Open
Abstract
Oncogenes are the primary candidates for target-directed therapy, given that they are involved directly in the progression and resistance of tumors. However, the appearance of point mutations can hinder the treatment of patients with these new molecules, raising costs and the need to development new analogs that target the novel mutations. Based on an analysis of homologies, the present study discusses the possibility of predicting the failure of a protein as a pharmacological target, due to its similarities with retrovirus sequences, which have extremely high mutation rates. This analysis was based on the molecular evidence available in the literature, and widely-used and well-established PSI-BLAST, with two iterations and maximum of 500 aligned sequences. The possibility of predicting which newly-discovered genes involved in tumor progression would likely result in the failure of targeted therapy, using free, simple and automated bioinformatics tools, could provide substantial savings in the time and financial resources needed for long-term drug development.
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Affiliation(s)
- Janaina Fernandes
- NUMPEX-BIO, Federal University of Rio de Janeiro, Duque de Caxias , Rio de Janeiro, Brazil ; Institute for Translational Research on Health and Environment in the Amazon Region - INPeTAm, Federal University of Rio de Janeiro , Rio de Janeiro, Brazil
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6
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Sudol M. From Rous sarcoma virus to plasminogen activator, src oncogene and cancer management. Oncogene 2011; 30:3003-10. [PMID: 21383693 DOI: 10.1038/onc.2011.38] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Plasminogen activator (PLAU) is a serine protease that converts plasminogen to plasmin, a general protease, which promotes fibrinolysis and degradation of extracellular matrix. PLAU was reported in 1970s as one of the robustly induced enzymatic activities in Rous sarcoma virus (RSV)-transformed chicken cells. More than three decades later, with the completion of the sequencing of the chicken genome and the subsequent availability of Affymetrix GeneChip genome arrays, several laboratories have surveyed the transcriptional program affected by the RSV transformation. Interestingly, the PLAU gene was shown to be the most highly upregulated transcript. The induction of PLAU was a transformation-dependent process because viruses with deleted Src gene did not induce the transcription of the PLAU gene. Both Src and PLAU genes are associated with and contribute to the complex phenotype of human cancer. Although the activity and structures of these two enzymes are well characterized, the precise molecular function of these gene products in signaling networks is still not fully understood. Yet, the knowledge of their association with cancer is already translated into the clinical setting. Src kinase inhibitors are being tested in clinical trials of cancer therapy, and PLAU gene and its inhibitor have been included as biomarkers with strong prognostic and therapeutic predictive values. This vignette reviews the history of PLAU and Src discovery, and illuminates the complexity of their relationship, but also points to their emerging impact on public health.
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Affiliation(s)
- M Sudol
- Laboratory of Signal Transduction and Proteomic Profiling, Weis Center for Research, Geisinger Clinic, Danville, PA 17822-2608, USA.
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7
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Amarir S, Marx M, Calothy G. Notch signaling activation suppresses v-Src-induced transformation of neural cells by restoring TGF-β-mediated differentiation. PLoS One 2010; 5:e13572. [PMID: 21042581 PMCID: PMC2962636 DOI: 10.1371/journal.pone.0013572] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2010] [Accepted: 09/10/2010] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND We have been investigating how interruption of differentiation contributes to the oncogenic process and the possibility to reverse the transformed phenotype by restoring differentiation. In a previous report, we correlated the capacity of intracellular Notch (ICN) to suppress v-Src-mediated transformation of quail neuroretina (QNR/v-src(ts)) cells with the acquisition by these undifferentiated cells of glial differentiation markers. METHODOLOGY/PRINCIPAL FINDINGS In this work, we have identified autocrine TGF-β3 signaling activation as a major effector of Notch-induced phenotypic changes, sufficient to induce transition in differentiation markers expression, suppress morphological transformation and significantly inhibit anchorage-independent growth. We also show that this signaling is constitutive of and contributes to ex-vivo autonomous QNR cell differentiation and that its down-regulation is essential to achieve v-Src-induced transformation. CONCLUSIONS/SIGNIFICANCE These results support the possibility that Notch signaling induces differentiation and suppresses transformation by a novel mechanism, involving secreted proteins. They also underline the importance of extracellular signals in controlling the balance between normal and transformed phenotypes.
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Affiliation(s)
- Samira Amarir
- CNRS UMR3347/INSERM U1021, Institut Curie-Section Recherche, Orsay, France
| | - Maria Marx
- CNRS UMR3347/INSERM U1021, Institut Curie-Section Recherche, Orsay, France
| | - Georges Calothy
- CNRS UMR3347/INSERM U1021, Institut Curie-Section Recherche, Orsay, France
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8
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Different responses in transformation of MDCK cells in 2D and 3D culture by v-Src as revealed by microarray techniques, RT-PCR and functional assays. J Transl Med 2010; 90:915-28. [PMID: 20212454 DOI: 10.1038/labinvest.2010.63] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Differentiation and transformation of untransformed and ts-Src-transformed canine kidney MDCK cells in 2D and 3D environment were investigated using microarray technique, RT-PCR, confocal microscopy and functional assays. Activated Src induced epithelial-mesenchymal transition (EMT) in 2D environment followed by translocation of junctional proteins to the cytoplasm, without significant changes in protein expression. In 3D environment untransformed MDCK cells formed cell cysts with apical domain facing a lumen, E-cadherin delineating the lateral membranes, ZO-1 at tight junctions and caspase-3 in apoptotic cells captured within the lumen. This was accompanied by reduced expression of an apoptosis inhibitor, survivin and vesicle transport effectors, rab 7 and 8, whereas rab 5 expression increased. In 3D environment activated Src induced changes in expression of over 100 genes as revealed by microarray analysis, mostly involved in cell signaling, division and energy metabolism. Only response in cytoskeletal components was decreased expression of actin and Arp2/3 by v-Src, whereas two p120catenin binding proteins Kaiso and Nanos increased their expression. Concomitantly, apoptosis was inhibited by v-Src resulting in formation of a sphere with epitheloid cells facing extracellular matrix and undifferentiated cells captured within the cluster. This was accompanied by increased expression of apoptosis inhibitor survivin, as revealed by western blotting. Mitochondrial membrane potential in untransformed MDCK cells was lower than in ts-Src-MDCK cells in early days of cluster formation correlating with the induction of apoptosis. Hence, v-Src activation in 3D environment did not induce EMT, but brought about inhibition of apoptosis and increased proliferation where increased expression of survivin and inhibition of the mitochondrial permeability have a role.
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Maślikowski BM, Néel BD, Wu Y, Wang L, Rodrigues NA, Gillet G, Bédard PA. Cellular processes of v-Src transformation revealed by gene profiling of primary cells--implications for human cancer. BMC Cancer 2010; 10:41. [PMID: 20152043 PMCID: PMC2837010 DOI: 10.1186/1471-2407-10-41] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2009] [Accepted: 02/12/2010] [Indexed: 01/05/2023] Open
Abstract
Background Cell transformation by the Src tyrosine kinase is characterized by extensive changes in gene expression. In this study, we took advantage of several strains of the Rous sarcoma virus (RSV) to characterize the patterns of v-Src-dependent gene expression in two different primary cell types, namely chicken embryo fibroblasts (CEF) and chicken neuroretinal (CNR) cells. We identified a common set of v-Src regulated genes and assessed if their expression is associated with disease-free survival using several independent human tumor data sets. Methods CEF and CNR cells were infected with transforming, non-transforming, and temperature sensitive mutants of RSV to identify the patterns of gene expression in response to v-Src-transformation. Microarray analysis was used to measure changes in gene expression and to define a common set of v-Src regulated genes (CSR genes) in CEF and CNR cells. A clustering enrichment regime using the CSR genes and two independent breast tumor data-sets was used to identify a 42-gene aggressive tumor gene signature. The aggressive gene signature was tested for its prognostic value by conducting survival analyses on six additional tumor data sets. Results The analysis of CEF and CNR cells revealed that cell transformation by v-Src alters the expression of 6% of the protein coding genes of the genome. A common set of 175 v-Src regulated genes (CSR genes) was regulated in both CEF and CNR cells. Within the CSR gene set, a group of 42 v-Src inducible genes was associated with reduced disease- and metastasis-free survival in several independent patient cohorts with breast or lung cancer. Gene classes represented within this group include DNA replication, cell cycle, the DNA damage and stress responses, and blood vessel morphogenesis. Conclusion By studying the v-Src-dependent changes in gene expression in two types of primary cells, we identified a set of 42 inducible genes associated with poor prognosis in breast and lung cancer. The identification of these genes provides a set of biomarkers of aggressive tumor behavior and a framework for the study of cancer cells characterized by elevated Src kinase activity.
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Affiliation(s)
- Bart M Maślikowski
- Department of Biology, McMaster University, 1280 Main street West, Hamilton, ON, L8S 4K1, Canada
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10
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Buza TJ, Kumar R, Gresham CR, Burgess SC, McCarthy FM. Facilitating functional annotation of chicken microarray data. BMC Bioinformatics 2009; 10 Suppl 11:S2. [PMID: 19811685 PMCID: PMC3226191 DOI: 10.1186/1471-2105-10-s11-s2] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Modeling results from chicken microarray studies is challenging for researchers due to little functional annotation associated with these arrays. The Affymetrix GenChip chicken genome array, one of the biggest arrays that serve as a key research tool for the study of chicken functional genomics, is among the few arrays that link gene products to Gene Ontology (GO). However the GO annotation data presented by Affymetrix is incomplete, for example, they do not show references linked to manually annotated functions. In addition, there is no tool that facilitates microarray researchers to directly retrieve functional annotations for their datasets from the annotated arrays. This costs researchers amount of time in searching multiple GO databases for functional information. Results We have improved the breadth of functional annotations of the gene products associated with probesets on the Affymetrix chicken genome array by 45% and the quality of annotation by 14%. We have also identified the most significant diseases and disorders, different types of genes, and known drug targets represented on Affymetrix chicken genome array. To facilitate functional annotation of other arrays and microarray experimental datasets we developed an Array GO Mapper (AGOM) tool to help researchers to quickly retrieve corresponding functional information for their dataset. Conclusion Results from this study will directly facilitate annotation of other chicken arrays and microarray experimental datasets. Researchers will be able to quickly model their microarray dataset into more reliable biological functional information by using AGOM tool. The disease, disorders, gene types and drug targets revealed in the study will allow researchers to learn more about how genes function in complex biological systems and may lead to new drug discovery and development of therapies. The GO annotation data generated will be available for public use via AgBase website and will be updated on regular basis.
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Affiliation(s)
- Teresia J Buza
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA.
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11
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Ka S, Kerje S, Bornold L, Liljegren U, Siegel PB, Andersson L, Hallböök F. Proviral integrations and expression of endogenous avian leucosis virus during long term selection for high and low body weight in two chicken lines. Retrovirology 2009; 6:68. [PMID: 19604406 PMCID: PMC2717048 DOI: 10.1186/1742-4690-6-68] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2009] [Accepted: 07/15/2009] [Indexed: 11/10/2022] Open
Abstract
Background Long-term selection (> 45 generations) for low or high juvenile body weight from a common founder population of White Plymouth Rock chickens has generated two extremely divergent lines, the LWS and HWS lines. In addition to a > 9-fold difference between lines for the selected trait, large behavioural and metabolic differences between the two lines evolved during the course of the selection. We recently compared gene expression in brain tissue from birds representing these lines using a global cDNA array analysis and the results showed multiple but small expression differences in protein coding genes. The main differentially expressed transcripts were endogenous retroviral sequences identified as avian leucosis virus subgroup-E (ALVE). Results In this work we confirm the differential ALVE expression and analysed expression and number of proviral integrations in the two parental lines as well as in F9 individuals from an advanced intercross of the lines. Correlation analysis between expression, proviral integrations and body weight showed that high ALVE levels in the LWS line were inherited and that more ALVE integrations were detected in LWS than HWS birds. Conclusion We conclude that only a few of the integrations contribute to the high expression levels seen in the LWS line and that high ALVE expression was significantly correlated with lower body weights for the females but not males. The conserved correlation between high expression and low body weight in females after 9 generations of intercrosses, indicated that ALVE loci conferring high expression directly affects growth or are very closely linked to loci regulating growth.
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Affiliation(s)
- Sojeong Ka
- Department of Neuroscience, Uppsala University, Uppsala, Sweden.
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