Heat-Shock Factor 2 Is a Suppressor of Prostate Cancer Invasion

Total Page:16

File Type:pdf, Size:1020Kb

Heat-Shock Factor 2 Is a Suppressor of Prostate Cancer Invasion Oncogene (2016) 35, 1770–1784 OPEN © 2016 Macmillan Publishers Limited All rights reserved 0950-9232/16 www.nature.com/onc ORIGINAL ARTICLE Heat-shock factor 2 is a suppressor of prostate cancer invasion JK Björk1,2,4, M Åkerfelt1,2,4, J Joutsen1,3, MC Puustinen1,3, F Cheng1,3, L Sistonen1,3,4 and M Nees1,4 Heat-shock factors (HSFs) are key transcriptional regulators in cell survival. Although HSF1 has been identified as a driver of carcinogenesis, HSF2 has not been explored in malignancies. Here, we report that HSF2 suppresses tumor invasion of prostate cancer (PrCa). In three-dimensional organotypic cultures and the in vivo xenograft chorioallantoic membrane model HSF2 knockdown perturbs organoid differentiation and promotes invasiveness. Gene expression profiling together with functional studies demonstrated that the molecular mechanism underlying the effect on tumor progression originates from HSF2 steering the switch between acinar morphogenesis and invasion. This is achieved by the regulation of genes connected to, for example, GTPase activity, cell adhesion, extracellular matrix and actin cytoskeleton dynamics. Importantly, low HSF2 expression correlates with high Gleason score, metastasis and poor survival of PrCa patients, highlighting the clinical relevance of our findings. Finally, the study was expanded beyond PrCa, revealing that the expression of HSF2 is decreased in a wide range of cancer types. This study provides the first evidence for HSF2 acting as a suppressor of invasion in human malignancies. Oncogene (2016) 35, 1770–1784; doi:10.1038/onc.2015.241; published online 29 June 2015 INTRODUCTION HSF1 was highlighted in a cohort of breast cancer patients, Prostate cancer (PrCa) is the most commonly diagnosed male showing correlation between high HSF1 expression and 15 cancer in Western countries.1 Gleason grading, which is based on decreased survival. Recently, HSF1-regulated transcriptional glandular differentiation patterns within tumor biopsies, remains programs in malignant cells of several cancer types, and in tumor the standard for assessing prognosis and treatment.2 Although stroma, were reported to be different from the classical stress 16,17 primary PrCa is often indolent, advanced PrCa can metastasize response. both locally and distantly. As PrCa progresses, it becomes resistant In contrast to HSF1, another HSF family member HSF2, which can 12,18–21 to pharmacological and surgical treatments and castration- modulate HSF1-mediated stress responses, has hitherto not resistant PrCa develops,1 which remains lethal. been associated with cancer. Genome-wide analyses revealed that The aggressiveness of cancer is connected to its invasive HSF2 has an active role during mitosis, as it binds numerous loci in properties, which are governed by signaling pathways regulating the human genome, despite global repression of the chromatin 12 dynamics of the cytoskeleton and turnover of cell–matrix and environment. Furthermore, decreased HSF2 expression during cell–cell junctions.3 The dynamics of cytoskeletal microfilaments mitosis was shown to protect cells against proteotoxicity and 22 is directed by plasma membrane receptors, including receptor apoptosis. Several cell lines, predominantly of tumorigenic origin, tyrosine kinases, G-protein coupled receptors, integrins, transform- downregulate HSF2 expression during mitosis, perhaps correlating β with the elevated levels of proteotoxic stress that cancer cells are ing growth factor- receptors, E-cadherins and Frizzled proteins. 22,23 The cognate receptors activate members of the RHO GTPase subjected to, thereby giving the cells a survival advantage. family, which modulate effector protein activity.4 In PrCa studies, Here, we demonstrate that HSF2 acts as a potent suppressor of G-protein signaling and downstream pathway dynamics coincide tumor progression and invasion in PrCa by regulating signaling with actin cytoskeleton reorganization, formation of invadopodia, pathways steering epithelial plasticity. Furthermore, results from extracellular matrix (ECM) degradation, modulations in adhesion patient material imply functions of HSF2 in several human – fi and collagen contraction.4 7 Molecular characterization of the malignancies. Our ndings strongly connect HSF2 to cancer and transition from stable acinar morphology to local invasion, that is, invasion, and advocate the use of HSF2-mediated regulation in the invasive switch, is inconclusive but needed as it may provide therapeutics. means to predict PrCa progression and facilitate discovery of treatments. RESULTS Heat-shock factors (HSFs) are multifaceted transcription factors that regulate the response upon proteotoxic stress, that is, the Decreased HSF2 expression corresponds to high Gleason score heat-shock response. HSF1 is the master regulator of stress and metastasis in PrCa patient samples responses and its targets include molecular chaperones, which To explore a role of HSF2 in human malignancy, we analyzed maintain protein homeostasis.8,9 HSF1 also regulates genes HSF2 mRNA expression in a transcriptomic data set from 216 involved in, for example, cell cycle, protein synthesis, ribosome clinical PrCa samples.24 Interestingly, reduced HSF2 expression biogenesis and glucose metabolism.10–12 Importantly, HSF1 was found in PrCa samples compared with normal samples, promotes cancer cell survival.10,13,14 The clinical significance of and the expression was further decreased in metastatic 1Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland; 2Medical Biotechnology, VTT Technical Research Centre of Finland, Turku, Finland and 3Department of Biosciences, Åbo Akademi University, Turku, Finland. Correspondence: Professor L Sistonen or Dr M Nees, Centre for Biotechnology, University of Turku and Åbo Akademi University, Tykistökatu 6, Turku 20520, Finland. E-mail: lea.sistonen@abo.fi or matthias.nees@btk.fi 4These authors contributed equally to this work. Received 3 November 2014; revised 2 April 2015; accepted 22 May 2015; published online 29 June 2015 Role of HSF2 in prostate cancer JK Björk et al 1771 HSF2 20% PTEN 18% 200 TP53 29% MYC 60% HSF1 20% Homozygous mRNA mRNA Amplification Mutation 150 deletion downregulation upregulation HSF2 PTEN HSF1 5 4 4 8 als als 100 als 3 2 HSF2 expression (log2) 6 2 0 1 4 0 -2 2 -1 -4 -2 0 -6 mRNA expression mRNA mRNA expression mRNA mRNA expression mRNA -3 Z-scores vs norm Z-scores vs norm Z-scores vs norm -2 -4 -8 NormalCancer Neg SMPos SM MetastasisGleason:Gleason: 6 Gleason: 7 Gleason: 8 9 Neg SVPos inv SV inv Gain Gain Amp LN inv normal Homdel Hetloss Diploid Homdel Hetloss Diploid Hetloss Diploid LN inv abnormal Putative copy-number Putative copy-number Putative copy-number alterations (RAE) alterations (RAE) alterations (RAE) Figure 1. Low HSF2 expression correlates with aggressiveness of PrCa in human clinical samples. (a) Decreased HSF2 expression correlates with advanced PrCa. Analysis of mRNA expression for HSF2 in data sets from human PrCa (MSKCC),24 indicating that HSF2 expression is decreased in PrCa compared with normal tissue, and further decreased in advanced PrCa (Gleason score ⩾ 8), metastases, lymph node invasion (LN inv abnormal), positive surgical margins (SM) and positive seminal vesicle invasion (SV inv). (b) Oncoprints of HSF2, PTEN, TP53, MYC and HSF1 across 85 PrCa tumors,24 indicating genomic alterations. Individual genes are represented in each row, and individual tumors are represented as columns. Genetic alterations are color coded: dark blue, homozygous deletion; red, amplification; light blue frame, mRNA downregulation; pink frame, mRNA upregulation; green square, mutation. The oncoprints are based on data obtained from the cBioPortal for Cancer Genomics (http://www.cbioportal.org/public-portal/). Z-score threshold ± 2. (c) Box and whisker plots indicating the expression of HSF2, PTEN or HSF1 mRNA across different subsets of PrCa tumors divided by the putative DNA copy-number status. Homdel, homozygous deletion; hetloss, heterozygous deletion; diploid, no change; gain, moderate amplification; amp, high-level amplification. HSF2 mRNA expression is as expected progressively lower across the different subgroups of PrCa with HSF2 ploidy status ranging from gain to homozygous deletion. Note that the scales for copy-number status (x axis) and mRNA expression (y axis) differ between the three graphs. The mRNA z-scores are compared with the expression in normal prostate samples. RAE, RAE algorithm. samples (Figure 1a). At closer examination, low HSF2 expression validates the biological relevance of decreased expression correlated with high Gleason score tumors (Gleason scores ⩾ 8), observed in high-grade Gleason primary tumors. which are prone to progress to castration-resistant PrCa and form distant metastases, as well as are associated with therapy failure 1 HSF2 levels decline as PrCa cells advance towards an invasive and overall poor patient outcome. Concurrently, low HSF2 phenotype and display dynamic expression during organotypic expression was associated with lymph node invasion, positive development surgical margins and positive seminal vesicle invasion (Figure 1a), To investigate the molecular function of HSF2 in PrCa, we all indicating suppressive capacity of HSF2 on invasion/metastasis. analyzed the mRNA expression in a panel of human prostate cell The relevance of altered HSF2 expression was elucidated by 5 comparing the genomic profile with that of known tumor lines with different malignant potential and invasive behavior.
Recommended publications
  • PARSANA-DISSERTATION-2020.Pdf
    DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks.
    [Show full text]
  • Genome-Wide Analysis of Host-Chromosome Binding Sites For
    Lu et al. Virology Journal 2010, 7:262 http://www.virologyj.com/content/7/1/262 RESEARCH Open Access Genome-wide analysis of host-chromosome binding sites for Epstein-Barr Virus Nuclear Antigen 1 (EBNA1) Fang Lu1, Priyankara Wikramasinghe1, Julie Norseen1,2, Kevin Tsai1, Pu Wang1, Louise Showe1, Ramana V Davuluri1, Paul M Lieberman1* Abstract The Epstein-Barr Virus (EBV) Nuclear Antigen 1 (EBNA1) protein is required for the establishment of EBV latent infection in proliferating B-lymphocytes. EBNA1 is a multifunctional DNA-binding protein that stimulates DNA replication at the viral origin of plasmid replication (OriP), regulates transcription of viral and cellular genes, and tethers the viral episome to the cellular chromosome. EBNA1 also provides a survival function to B-lymphocytes, potentially through its ability to alter cellular gene expression. To better understand these various functions of EBNA1, we performed a genome-wide analysis of the viral and cellular DNA sites associated with EBNA1 protein in a latently infected Burkitt lymphoma B-cell line. Chromatin-immunoprecipitation (ChIP) combined with massively parallel deep-sequencing (ChIP-Seq) was used to identify cellular sites bound by EBNA1. Sites identified by ChIP- Seq were validated by conventional real-time PCR, and ChIP-Seq provided quantitative, high-resolution detection of the known EBNA1 binding sites on the EBV genome at OriP and Qp. We identified at least one cluster of unusually high-affinity EBNA1 binding sites on chromosome 11, between the divergent FAM55 D and FAM55B genes. A con- sensus for all cellular EBNA1 binding sites is distinct from those derived from the known viral binding sites, sug- gesting that some of these sites are indirectly bound by EBNA1.
    [Show full text]
  • Regulation of Cdc42 and Its Effectors in Epithelial Morphogenesis Franck Pichaud1,2,*, Rhian F
    © 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs217869. doi:10.1242/jcs.217869 REVIEW SUBJECT COLLECTION: ADHESION Regulation of Cdc42 and its effectors in epithelial morphogenesis Franck Pichaud1,2,*, Rhian F. Walther1 and Francisca Nunes de Almeida1 ABSTRACT An overview of Cdc42 Cdc42 – a member of the small Rho GTPase family – regulates cell Cdc42 was discovered in yeast and belongs to a large family of small – polarity across organisms from yeast to humans. It is an essential (20 30 kDa) GTP-binding proteins (Adams et al., 1990; Johnson regulator of polarized morphogenesis in epithelial cells, through and Pringle, 1990). It is part of the Ras-homologous Rho subfamily coordination of apical membrane morphogenesis, lumen formation and of GTPases, of which there are 20 members in humans, including junction maturation. In parallel, work in yeast and Caenorhabditis elegans the RhoA and Rac GTPases, (Hall, 2012). Rho, Rac and Cdc42 has provided important clues as to how this molecular switch can homologues are found in all eukaryotes, except for plants, which do generate and regulate polarity through localized activation or inhibition, not have a clear homologue for Cdc42. Together, the function of and cytoskeleton regulation. Recent studies have revealed how Rho GTPases influences most, if not all, cellular processes. important and complex these regulations can be during epithelial In the early 1990s, seminal work from Alan Hall and his morphogenesis. This complexity is mirrored by the fact that Cdc42 can collaborators identified Rho, Rac and Cdc42 as main regulators of exert its function through many effector proteins.
    [Show full text]
  • UCSD MOLECULE PAGES Doi:10.6072/H0.MP.A002549.01 Volume 1, Issue 2, 2012 Copyright UC Press, All Rights Reserved
    UCSD MOLECULE PAGES doi:10.6072/H0.MP.A002549.01 Volume 1, Issue 2, 2012 Copyright UC Press, All rights reserved. Review Article Open Access WAVE2 Tadaomi Takenawa1, Shiro Suetsugu2, Daisuke Yamazaki3, Shusaku Kurisu1 WASP family verprolin-homologous protein 2 (WAVE2, also called WASF2) was originally identified by its sequence similarity at the carboxy-terminal VCA (verprolin, cofilin/central, acidic) domain with Wiskott-Aldrich syndrome protein (WASP) and N-WASP (neural WASP). In mammals, WAVE2 is ubiquitously expressed, and its two paralogs, WAVE1 (also called suppressor of cAMP receptor 1, SCAR1) and WAVE3, are predominantly expressed in the brain. The VCA domain of WASP and WAVE family proteins can activate the actin-related protein 2/3 (Arp2/3) complex, a major actin nucleator in cells. Proteins that can activate the Arp2/3 complex are now collectively known as nucleation-promoting factors (NPFs), and the WASP and WAVE families are a founding class of NPFs. The WAVE family has an amino-terminal WAVE homology domain (WHD domain, also called the SCAR homology domain, SHD) followed by the proline-rich region that interacts with various Src-homology 3 (SH3) domain proteins. The VCA domain located at the C-terminus. WAVE2, like WAVE1 and WAVE3, constitutively forms a huge heteropentameric protein complex (the WANP complex), binding through its WHD domain with Abi-1 (or its paralogs, Abi-2 and Abi-3), HSPC300 (also called Brick1), Nap1 (also called Hem-2 and NCKAP1), Sra1 (also called p140Sra1 and CYFIP1; its paralog is PIR121 or CYFIP2). The WANP complex is recruited to the plasma membrane by cooperative action of activated Rac GTPases and acidic phosphoinositides.
    [Show full text]
  • Crystal Structure of a Small G Protein in Complex with the Gtpase
    letters to nature of apolipoproteins2,12–14. However, our results show that the residues lipoprotein metabolism involving cell surface heparan sulfate proteoglycans. J. Biol. Chem. 269, 2764– 2+ 2772 (1994). in the conserved acidic motif of LR5 are buried to participate in Ca 16. Innerarity, T. L., Pitas, R. E. & Mahley, R. W. Binding of arginine-rich (E) apoprotein after coordination, instead of being exposed on the surface of the domain recombination with phospholipid vesicles to the low density lipoprotein receptors of fibroblasts. J. Biol. Chem. 254, 4186–4190 (1979). (Fig. 4a). Although lipoprotein uptake by members of the LDLR 17. Otwinowski, Z. & Minor, W. Data Collection and Processing (eds Sawyer, L., Isaacs, N. & Bailey, S.) family may involve an electrostatic component, perhaps through 556–562 (SERC Daresbury Laboratory, Warrington, UK, 1993). association of the lipoproteins with cell-surface proteoglycans15, the 18. CCP4. The SERC (UK) Collaborative Computing Project No. 4 A Suite of Programs for Protein Crystallography (SERC Daresbury Laboratory, Warrington, UK, 1979). LR5 structure demonstrates that the primary role for the conserved 19. Cowtan, K. D. Joint CCP4 and ESF-EACBM Newsletter on Protein Crystallography 31, 34–38 (1994). acidic residues in LDL-A modules is structural. It has been noted 20. Jones, T. A., Zou, J. Y., Cowan, S. W. & Kjeldgaard, M. Improved methods for binding protein models in electron density maps and the location of errors in these models. Acta Crystallogr. A 47, 110–119 previously that only lipid-associated apolipoproteins bind with (1991). 16 high affinity to the LDLR ; the LR5 structure suggests an alternative 21.
    [Show full text]
  • Ras Gtpase Chemi ELISA Kit Catalog No
    Ras GTPase Chemi ELISA Kit Catalog No. 52097 (Version B3) Active Motif North America 1914 Palomar Oaks Way, Suite 150 Carlsbad, California 92008, USA Toll free: 877 222 9543 Telephone: 760 431 1263 Fax: 760 431 1351 Active Motif Europe Waterloo Atrium Drève Richelle 167 – boîte 4 BE-1410 Waterloo, Belgium UK Free Phone: 0800 169 31 47 France Free Phone: 0800 90 99 79 Germany Free Phone: 0800 181 99 10 Telephone: +32 (0)2 653 0001 Fax: +32 (0)2 653 0050 Active Motif Japan Azuma Bldg, 7th Floor 2-21 Ageba-Cho, Shinjuku-Ku Tokyo, 162-0824, Japan Telephone: +81 3 5225 3638 Fax: +81 3 5261 8733 Active Motif China 787 Kangqiao Road Building 10, Suite 202, Pudong District Shanghai, 201315, China Telephone: (86)-21-20926090 Hotline: 400-018-8123 Copyright 2021 Active Motif, Inc. www.activemotif.com Information in this manual is subject to change without notice and does not constitute a commit- ment on the part of Active Motif, Inc. It is supplied on an “as is” basis without any warranty of any kind, either explicit or implied. Information may be changed or updated in this manual at any time. This documentation may not be copied, transferred, reproduced, disclosed, or duplicated, in whole or in part, without the prior written consent of Active Motif, Inc. This documentation is proprietary information and protected by the copyright laws of the United States and interna- tional treaties. The manufacturer of this documentation is Active Motif, Inc. © 2021 Active Motif, Inc., 1914 Palomar Oaks Way, Suite 150; Carlsbad, CA 92008.
    [Show full text]
  • Integrative Analyses Identify Potential Key Genes and Pathways in Keshan
    medRxiv preprint doi: https://doi.org/10.1101/2021.03.12.21253491; this version posted March 15, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Integrative analyses identify potential key genes and pathways in Keshan disease using whole-exome sequencing Jichang Huang1#, Chenqing Zheng2#, Rong Luo1#, Mingjiang Liu3, Qingquan Gu4, Jinshu Li5, Xiushan Wu6, Zhenglin Yang3, Xia Shen2*, Xiaoping Li3* 1 Institute of Geriatric Cardiovascular Disease, Chengdu Medical College, Chengdu, People’s Republic of China 2 State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China 3 Department of Cardiology, Hospital of the University of Electronic Science and Technology of China and Sichuan Provincial People’s Hospital, Chengdu, Sichuan, China 4 Shenzhen RealOmics (Biotech) Co., Ltd., Shenzhen, China 5 Institute of Endemic Disease, Center for Disease Control and Prevention of Sichuan Province, Chengdu, Sichuan, China 6 The Center of Heart Development, College of Life Sciences, Hunan Norma University, Changsha, China #, These authors contributed equally to this work. *, Authors for correspondence. NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2021.03.12.21253491; this version posted March 15, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
    [Show full text]
  • Focus on Cdc42 in Breast Cancer: New Insights, Target Therapy Development and Non-Coding Rnas
    Review Focus on Cdc42 in Breast Cancer: New Insights, Target Therapy Development and Non-Coding RNAs Yu Zhang †, Jun Li †, Xing-Ning Lai, Xue-Qiao Jiao, Jun-Ping Xiong and Li-Xia Xiong * Department of Pathophysiology, Jiangxi Province Key Laboratory of Tumor Pathogenesis and Molecular Pathology, Medical College, Nanchang University, 461 Bayi Road, Nanchang 330006, China; [email protected] (Y.Z.); [email protected] (J.L.); [email protected] (X.-N.L.); [email protected] (X.-Q.J.); [email protected] (J.-P.X.) * Correspondence: [email protected]; Tel.: +86-791-8636-0556 † These authors contributed equally to this work. Received: 30 December 2018; Accepted: 8 February 2019; Published: 11 February 2019 Abstract: Breast cancer is the most common malignant tumors in females. Although the conventional treatment has demonstrated a certain effect, some limitations still exist. The Rho guanosine triphosphatase (GTPase) Cdc42 (Cell division control protein 42 homolog) is often upregulated by some cell surface receptors and oncogenes in breast cancer. Cdc42 switches from inactive guanosine diphosphate (GDP)-bound to active GTP-bound though guanine-nucleotide- exchange factors (GEFs), results in activation of signaling cascades that regulate various cellular processes such as cytoskeletal changes, proliferation and polarity establishment. Targeting Cdc42 also provides a strategy for precise breast cancer therapy. In addition, Cdc42 is a potential target for several types of non-coding RNAs including microRNAs and lncRNAs. These non-coding RNAs is extensively involved in Cdc42-induced tumor processes, while many of them are aberrantly expressed. Here, we focus on the role of Cdc42 in cell morphogenesis, proliferation, motility, angiogenesis and survival, introduce the Cdc42-targeted non-coding RNAs, as well as present current development of effective Cdc42-targeted inhibitors in breast cancer.
    [Show full text]
  • Differentially Expressed on Collagen Networks 1, 2, 10 © 2000-2009 Ingenuity Systems, Inc. All Rights Reserved. Symbol Entrez
    Differentially expressed on collagen Networks 1, 2, 10 © 2000-2009 Ingenuity Systems, Inc. All rights reserved. Symbol Entrez Gene Name Affymetrix Fold Change Location Family ALDH1A3 aldehyde dehydrogenase 1 family, member A3 203180_at -5.43125168 Cytoplasm enzyme 209772_s_ Plasma CD24 CD24 molecule at -4.32890229 Membrane other HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 204130_at -4.1099197 Cytoplasm enzyme Plasma AMOTL2 angiomotin like 2 203002_at -2.82872773 Membrane other transcription DLX2 distal-less homeobox 2 207147_at -2.74996362 Nucleus regulator 221215_s_ RIPK4 receptor-interacting serine-threonine kinase 4 at -2.56556472 Nucleus kinase PLK2 polo-like kinase 2 (Drosophila) 201939_at -2.47054478 Nucleus kinase ALDH3A1 aldehyde dehydrogenase 3 family, memberA1 205623_at -2.30532989 Cytoplasm enzyme TXNRD1 thioredoxin reductase 1 201266_at -2.27936909 Cytoplasm enzyme Extracellular CYR61 cysteine-rich, angiogenic inducer, 61 201289_at -2.09052668 Space other 214212_x_ FERMT2 fermitin family homolog 2 (Drosophila) at -1.87478183 Cytoplasm other Plasma RIT1 Ras-like without CAAX 1 209882_at -1.77586775 Membrane enzyme 210297_s_ Extracellular MSMB microseminoprotein, beta- at -1.72177723 Space other Extracellular PI3 peptidase inhibitor 3, skin-derived 203691_at -1.68135697 Space other ALDH3B1 aldehyde dehydrogenase 3 family, member B1 205640_at -1.67376791 Cytoplasm enzyme 202124_s_ Plasma TRAK2 trafficking protein, kinesin binding 2 at -1.6367793 Membrane transporter BMP and activin membrane-bound inhibitor Plasma BAMBI
    [Show full text]
  • The Borg Family of Cdc42 Effector Proteins Cdc42ep1–5
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Institute of Cancer Research Repository Biochemical Society Transactions (2016) 0 1–8 DOI: 10.1042/BST20160219 1 2 The Borg family of Cdc42 effector proteins 3 4 Cdc42EP1–5 5 6 Aaron J. Farrugia and Fernando Calvo 7 8 Tumour Microenvironment Team, Division of Cancer Biology, Institute of Cancer Research, 237 Fulham Road, London SW2 6JB, U.K. 9 Correspondence: Fernando Calvo ([email protected]) 10 11 12 13 Despite being discovered more than 15 years ago, the Borg (binder of Rho GTPases) 14 – family of Cdc42 effector proteins (Cdc42EP1 5) remains largely uncharacterised and rela- 15 tively little is known about their structure, regulation and role in development and disease. 16 Recent studies are starting to unravel some of the key functional and mechanistic 17 aspects of the Borg proteins, including their role in cytoskeletal remodelling and signal- 18 ling. In addition, the participation of Borg proteins in important cellular processes such as 19 cell shape, directed migration and differentiation is slowly emerging, directly linking Borgs 20 with important physiological and pathological processes such as angiogenesis, neuro- 21 fi transmission and cancer-associated desmoplasia. Here, we review some of these nd- 22 ings and discuss future prospects. 23 24 25 26 27 28 29 Introduction 30 The Rho GTPase family member Cdc42 regulates a diverse range of cellular functions including cyto- 31 kinesis, cytoskeletal remodelling and cell polarity [1,2]. Like other Rho family members, Cdc42 cycles 32 between two tightly regulated conformational states, a GTP-bound active state and a GDP-bound 33 inactive state [3].
    [Show full text]
  • Small Rho Gtpase Family Member Cdc42 and Its Role in Neuronal Survival and Apoptosis
    University of Denver Digital Commons @ DU Electronic Theses and Dissertations Graduate Studies 1-1-2017 Small Rho GTPase Family Member Cdc42 and Its Role in Neuronal Survival and Apoptosis Noelle Christine Punessen University of Denver Follow this and additional works at: https://digitalcommons.du.edu/etd Part of the Biology Commons, and the Genetics and Genomics Commons Recommended Citation Punessen, Noelle Christine, "Small Rho GTPase Family Member Cdc42 and Its Role in Neuronal Survival and Apoptosis" (2017). Electronic Theses and Dissertations. 1337. https://digitalcommons.du.edu/etd/1337 This Thesis is brought to you for free and open access by the Graduate Studies at Digital Commons @ DU. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons @ DU. For more information, please contact [email protected],[email protected]. Small Rho GTPase Family Member Cdc42 and its Role in Neuronal Survival and Apoptosis A Thesis Presented to the Faculty of Natural Sciences and Mathematics University of Denver In Partial Fulfillment of the Requirements for the Degree Master of Science by Noelle C. Punessen August 2017 Advisor: Dr. Daniel A. Linseman Author: Noelle C. Punessen Title: Small Rho GTPase Family Member Cdc42 and its Role in Neuronal Survival and Apoptosis Advisor: Dr. Daniel A. Linseman Degree Date: August 2017 Abstract Neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS), Alzheimer’s and Parkinson’s disease are caused by a progressive and aberrant destruction of neurons in the brain and spinal cord. These disorders lack effective long term treatments, and existing options focus primarily on either delaying disease onset or alleviating symptomology.
    [Show full text]
  • Supplemental Information
    Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig.
    [Show full text]