The Hippo Pathway, Immunity, and Cancer: an Update
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Dysfunctional Mechanotransduction Through the YAP/TAZ/Hippo Pathway As a Feature of Chronic Disease
cells Review Dysfunctional Mechanotransduction through the YAP/TAZ/Hippo Pathway as a Feature of Chronic Disease 1, 2, 2,3, 4 Mathias Cobbaut y, Simge Karagil y, Lucrezia Bruno y, Maria Del Carmen Diaz de la Loza , Francesca E Mackenzie 3, Michael Stolinski 2 and Ahmed Elbediwy 2,* 1 Protein Phosphorylation Lab, Francis Crick Institute, London NW1 1AT, UK; [email protected] 2 Department of Biomolecular Sciences, Kingston University, Kingston-upon-Thames KT1 2EE, UK; [email protected] (S.K.); [email protected] (L.B.); [email protected] (M.S.) 3 Department of Chemical and Pharmaceutical Sciences, Kingston University, Kingston-upon-Thames KT1 2EE, UK; [email protected] 4 Epithelial Biology Lab, Francis Crick Institute, London NW1 1AT, UK; [email protected] * Correspondence: [email protected] These authors contribute equally to this work. y Received: 30 November 2019; Accepted: 4 January 2020; Published: 8 January 2020 Abstract: In order to ascertain their external environment, cells and tissues have the capability to sense and process a variety of stresses, including stretching and compression forces. These mechanical forces, as experienced by cells and tissues, are then converted into biochemical signals within the cell, leading to a number of cellular mechanisms being activated, including proliferation, differentiation and migration. If the conversion of mechanical cues into biochemical signals is perturbed in any way, then this can be potentially implicated in chronic disease development and processes such as neurological disorders, cancer and obesity. This review will focus on how the interplay between mechanotransduction, cellular structure, metabolism and signalling cascades led by the Hippo-YAP/TAZ axis can lead to a number of chronic diseases and suggest how we can target various pathways in order to design therapeutic targets for these debilitating diseases and conditions. -
Steroid-Dependent Regulation of the Oviduct: a Cross-Species Transcriptomal Analysis
University of Kentucky UKnowledge Theses and Dissertations--Animal and Food Sciences Animal and Food Sciences 2015 Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis Katheryn L. Cerny University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Cerny, Katheryn L., "Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis" (2015). Theses and Dissertations--Animal and Food Sciences. 49. https://uknowledge.uky.edu/animalsci_etds/49 This Doctoral Dissertation is brought to you for free and open access by the Animal and Food Sciences at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Animal and Food Sciences by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Appendix Table A.2.3.1 Full Table of All Chicken Proteins and Human Orthologs Pool Accession Human Human Protein Human Product Cell Angios Log2( Endo Gene Comp
Appendix table A.2.3.1 Full table of all chicken proteins and human orthologs Pool Accession Human Human Protein Human Product Cell AngioS log2( Endo Gene comp. core FC) Specific CIKL F1NWM6 KDR NP_002244 kinase insert domain receptor (a type III receptor tyrosine M 94 4 kinase) CWT Q8AYD0 CDH5 NP_001786 cadherin 5, type 2 (vascular endothelium) M 90 8.45 specific CWT Q8AYD0 CDH5 NP_001786 cadherin 5, type 2 (vascular endothelium) M 90 8.45 specific CIKL F1P1Y9 CDH5 NP_001786 cadherin 5, type 2 (vascular endothelium) M 90 8.45 specific CIKL F1P1Y9 CDH5 NP_001786 cadherin 5, type 2 (vascular endothelium) M 90 8.45 specific CIKL F1N871 FLT4 NP_891555 fms-related tyrosine kinase 4 M 86 -1.71 CWT O73739 EDNRA NP_001948 endothelin receptor type A M 81 -8 CIKL O73739 EDNRA NP_001948 endothelin receptor type A M 81 -8 CWT Q4ADW2 PROCR NP_006395 protein C receptor, endothelial M 80 -0.36 CIKL Q4ADW2 PROCR NP_006395 protein C receptor, endothelial M 80 -0.36 CIKL F1NFQ9 TEK NP_000450 TEK tyrosine kinase, endothelial M 77 7.3 specific CWT Q9DGN6 ECE1 NP_001106819 endothelin converting enzyme 1 M 74 -0.31 CIKL Q9DGN6 ECE1 NP_001106819 endothelin converting enzyme 1 M 74 -0.31 CWT F1NIF0 CA9 NP_001207 carbonic anhydrase IX I 74 CIKL F1NIF0 CA9 NP_001207 carbonic anhydrase IX I 74 CWT E1BZU7 AOC3 NP_003725 amine oxidase, copper containing 3 (vascular adhesion protein M 70 1) CIKL E1BZU7 AOC3 NP_003725 amine oxidase, copper containing 3 (vascular adhesion protein M 70 1) CWT O93419 COL18A1 NP_569712 collagen, type XVIII, alpha 1 E 70 -2.13 CIKL O93419 -
The Hippo Pathway Component Wwc2 Is a Key Regulator of Embryonic Development and Angiogenesis in Mice Anke Hermann1,Guangmingwu2, Pavel I
Hermann et al. Cell Death and Disease (2021) 12:117 https://doi.org/10.1038/s41419-021-03409-0 Cell Death & Disease ARTICLE Open Access The Hippo pathway component Wwc2 is a key regulator of embryonic development and angiogenesis in mice Anke Hermann1,GuangmingWu2, Pavel I. Nedvetsky1,ViktoriaC.Brücher3, Charlotte Egbring3, Jakob Bonse1, Verena Höffken1, Dirk Oliver Wennmann1, Matthias Marks4,MichaelP.Krahn 1,HansSchöler5,PeterHeiduschka3, Hermann Pavenstädt1 and Joachim Kremerskothen1 Abstract The WW-and-C2-domain-containing (WWC) protein family is involved in the regulation of cell differentiation, cell proliferation, and organ growth control. As upstream components of the Hippo signaling pathway, WWC proteins activate the Large tumor suppressor (LATS) kinase that in turn phosphorylates Yes-associated protein (YAP) and its paralog Transcriptional coactivator-with-PDZ-binding motif (TAZ) preventing their nuclear import and transcriptional activity. Inhibition of WWC expression leads to downregulation of the Hippo pathway, increased expression of YAP/ TAZ target genes and enhanced organ growth. In mice, a ubiquitous Wwc1 knockout (KO) induces a mild neurological phenotype with no impact on embryogenesis or organ growth. In contrast, we could show here that ubiquitous deletion of Wwc2 in mice leads to early embryonic lethality. Wwc2 KO embryos display growth retardation, a disturbed placenta development, impaired vascularization, and finally embryonic death. A whole-transcriptome analysis of embryos lacking Wwc2 revealed a massive deregulation of gene expression with impact on cell fate determination, 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; cell metabolism, and angiogenesis. Consequently, a perinatal, endothelial-specific Wwc2 KO in mice led to disturbed vessel formation and vascular hypersprouting in the retina. -
Hippo Signaling Regulates Drosophila Intestine Stem Cell Proliferation Through Multiple Pathways
Hippo signaling regulates Drosophila intestine stem cell proliferation through multiple pathways Fangfang Rena, Bing Wanga, Tao Yuea, Eun-Young Yunb,1, Y. Tony Ipb, and Jin Jianga,c,2 aDepartment of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390; bProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605; and cDepartment of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX 75390 Edited* by Michael Levine, University of California, Berkeley, CA, and approved October 6, 2010 (received for review August 27, 2010) Intestinal stem cells (ISCs) in the Drosophila adult midgut are essen- investigated. In this study, we demonstrate that the Hpo pathway tial for maintaining tissue homeostasis and replenishing lost cells in restricts ISC proliferation in the adult midgut. We uncover response to tissue damage. Here we demonstrate that the Hippo a non–cell-autonomous mechanism by which the Hpo pathway (Hpo) signaling pathway, an evolutionarily conserved pathway im- negatively regulates stem cell proliferation by restricting the plicated in organ size control and tumorigenesis, plays an essential production of cytokines and mitogens that activate the JAK- role in regulating ISC proliferation. Loss of Hpo signaling in either STAT and EGFR pathways. In addition, we demonstrate that midgut precursor cells or epithelial cells stimulates ISC proliferation. Yki is required in the precursor cells for dextran sulfate sodium We provide evidence that loss of Hpo signaling in epithelial cells (DSS)-induced ISC proliferation. increases the production of cytokines of the Upd family and multiple EGFR ligands that activate JAK-STAT and EGFR signaling pathways Results in ISCs to stimulate their proliferation, thus revealing a unique non– Loss of Hpo Signaling in Precursor Cells Stimulates ISC Proliferation. -
Hippo Signaling Pathway As a New Potential Target in Non-Melanoma Skin Cancers: a Narrative Review
life Review Hippo Signaling Pathway as a New Potential Target in Non-Melanoma Skin Cancers: A Narrative Review Igor Aleksander Bednarski 1,*, Magdalena Ci ˛azy˙ ´nska 2 , Karolina Wódz 3, Izabela Drózd˙ z˙ 4 , Małgorzata Skibi ´nska 1, Joanna Narbutt 1 and Aleksandra Lesiak 1 1 Department of Dermatology, Pediatric Dermatology and Dermatological Oncology, Medical University of Lodz, 91-347 Lodz, Poland; [email protected] (M.S.); [email protected] (J.N.); [email protected] (A.L.) 2 Department of Proliferative Diseases, Nicolaus Copernicus Multidisciplinary Centre for Oncology and Traumatology, 93-513 Lodz, Poland; [email protected] 3 Laboratory of Molecular Biology, VET-LAB Brudzew, 62-720 Brudzew, Poland; [email protected] 4 Department of Clinical Genetics, Medical University of Lodz, Pomorska 251, 92-213 Lodz, Poland; [email protected] * Correspondence: [email protected] Abstract: Non-melanoma skin cancers (NMSCs), including basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC), are the most frequently diagnosed cancers in humans, however, their exact pathogenesis is not fully understood. In recent years, it has been hypothesized that the recently discovered Hippo pathway could play a detrimental role in cutaneous carcinogenesis, but no direct connections have been made. The Hippo pathway and its effector, YAP, are responsible for tissue growth by accelerating cell proliferation, however, YAP upregulation and overexpression have also been reported in numerous types of tumors. There is also evidence that disrupted YAP/Hippo Citation: Bednarski, I.A.; Ci ˛azy´nska,˙ signaling is responsible for cancer growth, invasion, and metastasis. -
Bioinformatics Analysis of Potential Key Genes and Mechanisms in Type 2 Diabetes Mellitus Basavaraj Vastrad1, Chanabasayya Vastrad*2
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.28.437386; this version posted March 29, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Bioinformatics analysis of potential key genes and mechanisms in type 2 diabetes mellitus Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.03.28.437386; this version posted March 29, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Type 2 diabetes mellitus (T2DM) is etiologically related to metabolic disorder. The aim of our study was to screen out candidate genes of T2DM and to elucidate the underlying molecular mechanisms by bioinformatics methods. Expression profiling by high throughput sequencing data of GSE154126 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between T2DM and normal control were identified. And then, functional enrichment analyses of gene ontology (GO) and REACTOME pathway analysis was performed. Protein–protein interaction (PPI) network and module analyses were performed based on the DEGs. Additionally, potential miRNAs of hub genes were predicted by miRNet database . Transcription factors (TFs) of hub genes were detected by NetworkAnalyst database. Further, validations were performed by receiver operating characteristic curve (ROC) analysis and real-time polymerase chain reaction (RT-PCR). -
Type I and II Interferon Are Associated with High Expression of the Hippo Pathway Family Members
Cel al & lul ic ar in I l m C m f o u n l a o l n o Journal of Clinical & Cellular r g u y o J ISSN: 2155-9899 Immunology Research Article Type I and II Interferon are Associated with High Expression of the Hippo Pathway Family Members Bianca Sciescia1*, Raquel Tognon2, Natalia de Souza Nunes1, Tathiane Maistro Malta1, Fabiani Gai Frantz1, Fabiola Attie de Castro1, Maira da Costa Cacemiro1 1Department of Clinical, Toxicological and Bromatological Analysis, University of Sao Paulo - USP, Ribeirao Preto - SP, Brazil; 2Department of Pharmacy, Federal University of Juiz de Fora, Campus Governador Valadares, Governador Valadares - MG, Brazil ABSTRACT The Hippo pathway plays a regulatory role on inflammation and cell death and proliferation. Here we described a relationship between Hippo pathway components and inflammation in healthy subjects. The plasma levels of cytokines and chemokines were used to define their inflammatory profile and classify them as normal, high and low producers of cytokines. Leukocytes from healthy subjects with inflammatory profile expressed the highest levels of MSTS1/MST2, SAV1, LATS1/LATS2, MOB1A/MOB1B and YAP genes. The group that overexpressed Hippo pathway-related genes secreted more IFN-ϒ and IFN-α2. Keywords: Hippo pathway; Inflammatory process; Healthy subjects; Cytokines; Chemokines ABBREVATIONS: LATS1/LATS2 kinases (large tumor suppressor kinase 1/2) and MOB kinase activator IL: Interleukin; IFN: Interferon; LATS1/LATS2: Large tumor their adapter proteins MOB1A/MOB1B ( 1A/1B yes-associated suppressor kinase 1/2; MCP-1: Monocyte chemoattractant ), and the transcription coactivators YAP ( protein tafazzin protein protein-1; MIP: Macrophage inflammatory protein; MOB1A/ ) and TAZ ( ). -
DIPPER, a Spatiotemporal Proteomics Atlas of Human Intervertebral Discs
TOOLS AND RESOURCES DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics Vivian Tam1,2†, Peikai Chen1†‡, Anita Yee1, Nestor Solis3, Theo Klein3§, Mateusz Kudelko1, Rakesh Sharma4, Wilson CW Chan1,2,5, Christopher M Overall3, Lisbet Haglund6, Pak C Sham7, Kathryn Song Eng Cheah1, Danny Chan1,2* 1School of Biomedical Sciences, , The University of Hong Kong, Hong Kong; 2The University of Hong Kong Shenzhen of Research Institute and Innovation (HKU-SIRI), Shenzhen, China; 3Centre for Blood Research, Faculty of Dentistry, University of British Columbia, Vancouver, Canada; 4Proteomics and Metabolomics Core Facility, The University of Hong Kong, Hong Kong; 5Department of Orthopaedics Surgery and Traumatology, HKU-Shenzhen Hospital, Shenzhen, China; 6Department of Surgery, McGill University, Montreal, Canada; 7Centre for PanorOmic Sciences (CPOS), The University of Hong Kong, Hong Kong Abstract The spatiotemporal proteome of the intervertebral disc (IVD) underpins its integrity *For correspondence: and function. We present DIPPER, a deep and comprehensive IVD proteomic resource comprising [email protected] 94 genome-wide profiles from 17 individuals. To begin with, protein modules defining key †These authors contributed directional trends spanning the lateral and anteroposterior axes were derived from high-resolution equally to this work spatial proteomes of intact young cadaveric lumbar IVDs. They revealed novel region-specific Present address: ‡Department profiles of regulatory activities -
Hippo Signaling Antibody Sampler
Hippo Signaling Antibody Sampler Kit Store at -20°C 3 n 1 Kit Orders n 877-616-CELL (2355) (9 x 20 µl) [email protected] Support n 877-678-TECH (8324) [email protected] Web n www.cellsignal.com rev. 06/16 #8579 For Research Use Only. Not For Use In Diagnostic Procedures. Products Included Product # Quantity Mol. Wt. Isotype Storage: Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA, 50% glycerol and less than 0.02% Phospho-YAP (Ser397) (D1E7Y) Rabbit mAb 13619 20 µl 75 kDa Rabbit IgG sodium azide. Store at –20°C. Do not aliquot the antibodies. LATS1 (C66B5) Rabbit mAb 3477 20 µl 140 kDa Rabbit IgG Recommended Antibody Dilutions: Western blotting 1:1000 Phospho-MOB1 (Thr35) (D2F10) Rabbit mAb 8699 20 µl 24 kDa Rabbit IgG Please visit www.cellsignal.com for validation data MOB1 (E1N9D) Rabbit mAb 13730 20 µl 25 kDa Rabbit IgG and a complete listing of recommended companion Mst1 Antibody 3682 20 µl 59 kDa Rabbit IgG products. Mst2 Antibody 3952 20 µl 60 kDa Rabbit IgG SAV1 (D6M6X) Rabbit mAb 13301 20 µl 45 kDa Rabbit IgG Phospho-YAP (Ser127) (D9W2I) Rabbit mAb 13008 20 µl 65-75 kDa Rabbit IgG YAP/TAZ (D24E4) Rabbit mAb 8418 20 µl 50,70 kDa Rabbit IgG Anti-rabbit IgG, HRP-linked Antibody 7074 100 µl Goat See www.cellsignal.com for individual component applications, species cross-reactivity, dilutions and additional application protocols. Description: The Hippo Signaling Antibody Sampler Kit MOB1 (Thr35) (D2F10) Rabbit mAb recognizes endogenous Background References: provides an economical means of detecting target proteins levels of MOB1 protein only when phosphorylated at Thr35.