Activity in Primary Mammary Tumors Role for Wnt-Signaling in Mediating
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Exosomes from Nischarin-Expressing Cells Reduce Breast Cancer Cell Motility and Tumor Growth
Author Manuscript Published OnlineFirst on January 11, 2019; DOI: 10.1158/0008-5472.CAN-18-0842 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Exosomes from Nischarin-Expressing Cells Reduce Breast Cancer Cell Motility and tumor growth Mazvita Maziveyi1,7, Shengli Dong1, Somesh Baranwal2, Ali Mehrnezhad3, Rajamani Rathinam4, Thomas M. Huckaba5, Donald E. Mercante6, Kidong Park3, Suresh K. Alahari1 1Department of Biochemistry and Molecular Biology, LSUHSC School of Medicine, New Orleans, LA, USA 2Center of Biochemistry and Microbial Science, Central University of Punjab, Bathinda-151001, India 3Department of Electrical Engineering and Computer Engineering, Louisiana State University, Baton Rouge, LA, USA 4Wayne State University, Detroit, MI, USA 5Department of Biology, Xavier University of Louisiana, New Orleans, LA, USA 6School of Public Health, LSUHSC School of Medicine, New Orleans, LA, USA 7Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, Texas *Corresponding author; Suresh K. Alahari, PhD; Fred G. Brazda Professor of Biochemistry, LSUHSC School of Medicine, New Orleans, LA 70112, USA; Tel: 504-568-4734 [email protected] Running Title: Nischarin regulates exosome production Conflicts of Interest No potential conflicts of interest were disclosed. Downloaded from cancerres.aacrjournals.org on September 29, 2021. © 2019 American Association for Cancer Research. Author Manuscript Published OnlineFirst on January 11, 2019; DOI: 10.1158/0008-5472.CAN-18-0842 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Abstract: Exosomes are small extracellular microvesicles that are secreted by cells when intracellular multivesicular bodies (MVB) fuse with the plasma membrane. -
The Bone Marrow Niche in the Pathogenesis of Multiple Myeloma a Role for Wnt Signaling and Adrenomedullin
A role for Wnt signaling and Adrenomedullin and signaling Wnt for A role Myeloma Multiple of niche in the pathogenesis marrow The bone The bone marrow niche in the pathogenesis of Multiple Myeloma A role for Wnt signaling and Adrenomedullin pracownia DTP i grafiki www.przygotowalniaDTP.pl ISBN 978-83-63861-16-2 Kinga Anna Kocemba okladka_nowa.indd 1-3 2014-01-20 11:57:46 The bone marrow niche in the pathogenesis of Multiple Myeloma A role for Wnt signaling and Adrenomedullin The bone marrow niche in the pathogenesis of Multiple Myeloma A role for Wnt signaling and Adrenomedullin Kinga Anna Kocemba The research described in this thesis was funded by the Dutch Cancer Society Editing Przygotowalnia Pracownia DTP i Grafiki Graphic design and typesetting Przygotowalnia Pracownia DTP i Grafiki Cover: Antelope Canyon, Arizona, USA by Kinga Anna Kocemba © Copyright by Kinga Anna Kocemba ISBN 978-83-63861-16-2 Amsterdam–Kraków 2014 Pracownia DTP i Grafiki ul. Łużycka 71c/9 30–693 Kraków [email protected] www.przygotowalniaDTP.pl Moim rodzicom To my parents The bone marrow niche in the pathogenesis of Multiple Myeloma A role for Wnt signaling and Adrenomedullin academisch proefschrift ter verkrijging van de graad van doctor aan de Universiteit van Amsterdam op gezag van de Rector Magnificus prof. dr. D.C. van den Boom ten overstaan van een door het college voor promoties ingestelde commissie, in het openbaar te verdedigen in de Agnietenkapel op donderdag 6 maart 2014, te 14:00 uur door Kinga Anna Kocemba geboren te Oświęcim, Polen Promotiecommissie promotor Prof. -
Rule Mining on Microrna Expression Profiles For
Faculty of Engineering and Information Technology University of Technology, Sydney Rule Mining on MicroRNA Expression Profiles for Human Disease Understanding A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy by Renhua Song July 2016 CERTIFICATE OF AUTHORSHIP/ORIGINALITY I certify that the work in this thesis has not previously been submitted for a degree nor has it been submitted as part of requirements for a degree except as fully acknowledged within the text. I also certify that the thesis has been written by me. Any help that I have received in my research work and the preparation of the thesis itself has been acknowledged. In addition, I certify that all information sources and literature used are indicated in the thesis. Signature of Candidate i Acknowledgments First, and foremost, I would like to express my gratitude to my chief supervisor, Assoc. Prof. Jinyan Li, and to my co-supervisors Assoc. Prof. Paul Kennedy and Assoc. Prof. Daniel Catchpoole. I am extremely grateful for all the advice and guidance so unselfishly given to me over the last three and half years by these three distinguished academics. This research would not have been possible without their high order supervision, support, assistance and leadership. The wonderful support and assistance provided by many people during this research is very much appreciated by me and my family. I am very grateful for the help that I received from all of these people but there are some special individuals that I must thank by name. A very sincere thank you is definitely owed to my loving husband Jing Liu, not only for his tremendous support during the last three and half years, but also his unfailing and often sorely tested patience. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
Investigation of Candidate Genes and Mechanisms Underlying Obesity
Prashanth et al. BMC Endocrine Disorders (2021) 21:80 https://doi.org/10.1186/s12902-021-00718-5 RESEARCH ARTICLE Open Access Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules G. Prashanth1 , Basavaraj Vastrad2 , Anandkumar Tengli3 , Chanabasayya Vastrad4* and Iranna Kotturshetti5 Abstract Background: Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. Methods: To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. Results: A total of 820 DEGs were identified between -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Analysis of Protein Complexes Through Model-Based Biclustering of Label-Free Quantitative AP-MS Data
Molecular Systems Biology 6; Article number 385; doi:10.1038/msb.2010.41 Citation: Molecular Systems Biology 6:385 & 2010 EMBO and Macmillan Publishers Limited All rights reserved 1744-4292/10 www.molecularsystemsbiology.com REPORT Analysis of protein complexes through model-based biclustering of label-free quantitative AP-MS data Hyungwon Choi1, Sinae Kim2, Anne-Claude Gingras3,4 and Alexey I Nesvizhskii1,5,* 1 Department of Pathology, University of Michigan, Ann Arbor, MI, USA, 2 Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA, 3 Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, Ontario, Canada, 4 Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada and 5 Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA * Corresponding author. Department of Pathology, University of Michigan, 1301 Catherine, 4237 MS1, Ann Arbor, MI 48109, USA. Tel.: þ 1 734 764 3516; Fax: þ 1 734 936 7361; E-mail: [email protected] Received 28.8.09; accepted 7.5.10 Affinity purification followed by mass spectrometry (AP-MS) has become a common approach for identifying protein–protein interactions (PPIs) and complexes. However, data analysis and visualization often rely on generic approaches that do not take advantage of the quantitative nature of AP-MS. We present a novel computational method, nested clustering, for biclustering of label-free quantitative AP-MS data. Our approach forms bait clusters based on the similarity of quantitative interaction profiles and identifies submatrices of prey proteins showing consistent quantitative association within bait clusters. In doing so, nested clustering effectively addresses the problem of overrepresentation of interactions involving baits proteins as compared with proteins only identified as preys. -
Breast Cancer Tumor Suppressors: a Special Emphasis on Novel Protein Nischarin Mazvita Maziveyi and Suresh K
Published OnlineFirst September 21, 2015; DOI: 10.1158/0008-5472.CAN-15-1395 Cancer Review Research Breast Cancer Tumor Suppressors: A Special Emphasis on Novel Protein Nischarin Mazvita Maziveyi and Suresh K. Alahari Abstract Tumor suppressor genes regulate cell growth and prevent vast number of cellular processes, including neuronal protection spontaneous proliferation that could lead to aberrant tissue and hypotension. The NISCH promoter experiences hypermethy- function. Deletions and mutations of these genes typically lead lation in several cancers, whereas some highly aggressive breast to progression through the cell-cycle checkpoints, as well as cancer cells exhibit genomic loss of the NISCH locus. Further- increased cell migration. Studies of these proteins are important more, we discuss data illustrating a novel role of Nischarin as as they may provide potential treatments for breast cancers. In this a tumor suppressor in breast cancer. Analysis of this new para- review, we discuss a comprehensive overview on Nischarin, a digm may shed light on various clinical questions. Finally, the novel protein discovered by our laboratory. Nischarin, or imida- therapeutic potential of Nischarin is discussed. Cancer Res; 75(20); zoline receptor antisera-selected protein, is a protein involved in a 4252–9. Ó2015 AACR. Introduction (6, 7). It also interacts with LIM kinase (LIMK) in order to prevent cytoskeletal reorganization (8). Typically, scaffold proteins such Breast cancer initiation and progression involve several genetic as Nischarin are characterized as caretaker genes because their events that can activate oncogenes and/or abrogate the function of effects on tumor growth are indirect. tumor suppressor genes. Tumor suppressor genes are commonly lost or deleted in cancers, facilitating the initiation and progres- sion of cancer through several biological events, including cell Discovery of Nischarin proliferation, cell death, cell migration, and cell invasion. -
Mechanism of Completion of Peptidyltransferase Centre
RESEARCH ARTICLE Mechanism of completion of peptidyltransferase centre assembly in eukaryotes Vasileios Kargas1,2,3†, Pablo Castro-Hartmann1,2,3†, Norberto Escudero-Urquijo1,2,3, Kyle Dent1,2,3, Christine Hilcenko1,2,3, Carolin Sailer4, Gertrude Zisser5, Maria J Marques-Carvalho1,2,3, Simone Pellegrino1,2,3, Leszek Wawio´ rka1,2,3,6, Stefan MV Freund7, Jane L Wagstaff7, Antonina Andreeva7, Alexandre Faille1,2,3, Edwin Chen8, Florian Stengel4, Helmut Bergler5, Alan John Warren1,2,3* 1Cambridge Institute for Medical Research, Cambridge, United Kingdom; 2Department of Haematology, University of Cambridge, Cambridge, United Kingdom; 3Wellcome Trust–Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom; 4Department of Biology, University of Konstanz, Konstanz, Germany; 5Institute of Molecular Biosciences, University of Graz, Graz, Austria; 6Department of Molecular Biology, Maria Curie-Skłodowska University, Lublin, Poland; 7MRC Laboratory of Molecular Biology, Cambridge, United Kingdom; 8Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom Abstract During their final maturation in the cytoplasm, pre-60S ribosomal particles are converted to translation-competent large ribosomal subunits. Here, we present the mechanism of peptidyltransferase centre (PTC) completion that explains how integration of the last ribosomal *For correspondence: [email protected] proteins is coupled to release of the nuclear export adaptor Nmd3. Single-particle cryo-EM reveals that eL40 recruitment stabilises helix 89 to form the uL16 binding site. The loading of uL16 unhooks † These authors contributed helix 38 from Nmd3 to adopt its mature conformation. In turn, partial retraction of the L1 stalk is equally to this work coupled to a conformational switch in Nmd3 that allows the uL16 P-site loop to fully accommodate Competing interests: The into the PTC where it competes with Nmd3 for an overlapping binding site (base A2971). -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
The Transition from Primary Colorectal Cancer to Isolated Peritoneal Malignancy
medRxiv preprint doi: https://doi.org/10.1101/2020.02.24.20027318; this version posted February 25, 2020. 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. It is made available under a CC-BY 4.0 International license . The transition from primary colorectal cancer to isolated peritoneal malignancy is associated with a hypermutant, hypermethylated state Sally Hallam1, Joanne Stockton1, Claire Bryer1, Celina Whalley1, Valerie Pestinger1, Haney Youssef1, Andrew D Beggs1 1 = Surgical Research Laboratory, Institute of Cancer & Genomic Science, University of Birmingham, B15 2TT. Correspondence to: Andrew Beggs, [email protected] KEYWORDS: Colorectal cancer, peritoneal metastasis ABBREVIATIONS: Colorectal cancer (CRC), Colorectal peritoneal metastasis (CPM), Cytoreductive surgery and heated intraperitoneal chemotherapy (CRS & HIPEC), Disease free survival (DFS), Differentially methylated regions (DMR), Overall survival (OS), TableFormalin fixed paraffin embedded (FFPE), Hepatocellular carcinoma (HCC) ARTICLE CATEGORY: Research article NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. 1 medRxiv preprint doi: https://doi.org/10.1101/2020.02.24.20027318; this version posted February 25, 2020. 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. It is made available under a CC-BY 4.0 International license . NOVELTY AND IMPACT: Colorectal peritoneal metastasis (CPM) are associated with limited and variable survival despite patient selection using known prognostic factors and optimal currently available treatments.