4Q-D4Z4 Chromatin Architecture Regulates the Transcription
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FBXO32 Promotes Microenvironment Underlying Epithelial-Mesenchymal Transition Via Ctbp1 During Tumour Metastasis and Brain Development
FBXO32 promotes microenvironment underlying epithelial- mesenchymal transition via CtBP1 during tumour metastasis and brain development Sahu, S. K., Tiwari, N., Pataskar, A., Zhuang, Y., Borisova, M., Diken, M., Strand, S., Beli, P., & Tiwari, V. K. (2017). FBXO32 promotes microenvironment underlying epithelial-mesenchymal transition via CtBP1 during tumour metastasis and brain development. Nature Communications, 8(1), [1523]. https://doi.org/10.1038/s41467-017-01366-x Published in: Nature Communications Document Version: Publisher's PDF, also known as Version of record Queen's University Belfast - Research Portal: Link to publication record in Queen's University Belfast Research Portal Publisher rights Copyright 2017 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. General rights Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the Research Portal that you believe breaches copyright or violates any law, please contact [email protected]. Download date:27. Sep. 2021 ARTICLE DOI: 10.1038/s41467-017-01366-x OPEN FBXO32 promotes microenvironment underlying epithelial-mesenchymal transition via CtBP1 during tumour metastasis and brain development Sanjeeb Kumar Sahu1, Neha Tiwari2, Abhijeet Pataskar1, Yuan Zhuang1, Marina Borisova1, Mustafa Diken3, Susanne Strand4, Petra Beli1 & Vijay K. -
Anti-FBXO32 Antibody (ARG55503)
Product datasheet [email protected] ARG55503 Package: 100 μl anti-FBXO32 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes FBXO32 Tested Reactivity Ms Predict Reactivity Hu, Rat Tested Application WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name FBXO32 Antigen Species Human Immunogen Recombinant protein of Human FBXO32 Conjugation Un-conjugated Alternate Names Muscle atrophy F-box protein; Atrogin-1; F-box only protein 32; Fbx32; MAFbx Application Instructions Application table Application Dilution WB 1:500 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Mouse heart Calculated Mw 42 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol Preservative 0.02% Sodium azide Stabilizer 50% Glycerol Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. www.arigobio.com 1/2 Bioinformation Database links GeneID: 67731 Mouse Swiss-port # Q9CPU7 Mouse Gene Symbol FBXO32 Gene Full Name F-box protein 32 Background This gene encodes a member of the F-box protein family which is characterized by an approximately 40 amino acid motif, the F-box. The F-box proteins constitute one of the four subunits of the ubiquitin protein ligase complex called SCFs (SKP1-cullin-F-box), which function in phosphorylation-dependent ubiquitination. -
Regulatory Divergence of Transcript Isoforms in a Mammalian Model System
RESEARCH ARTICLE Regulatory Divergence of Transcript Isoforms in a Mammalian Model System Sarah Leigh-Brown1☯, Angela Goncalves2,3☯, David Thybert2, Klara Stefflova4, Stephen Watt3, Paul Flicek2, Alvis Brazma2, John C. Marioni2*, Duncan T. Odom1,3* 1 University of Cambridge, Cancer Research UK - Cambridge Institute, Li Ka Shing Centre, Cambridge, United Kingdom, 2 European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom, 3 Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom, 4 California Institute of Technology, Division of Biology, Pasadena, California, United States of America ☯ These authors contributed equally to this work. * [email protected] (DTO); [email protected] (JCM) Abstract OPEN ACCESS Phenotypic differences between species are driven by changes in gene expression and, by extension, by modifications in the regulation of the transcriptome. Investigation of mamma- Citation: Leigh-Brown S, Goncalves A, Thybert D, Stefflova K, Watt S, Flicek P, et al. (2015) Regulatory lian transcriptome divergence has been restricted to analysis of bulk gene expression levels Divergence of Transcript Isoforms in a Mammalian and gene-internal splicing. Using allele-specific expression analysis in inter-strain hybrids Model System. PLoS ONE 10(9): e0137367. of Mus musculus, we determined the contribution of multiple cellular regulatory systems to doi:10.1371/journal.pone.0137367 transcriptome divergence, including: alternative promoter usage, transcription start site Editor: Barbara E. Stranger, University of Chicago, selection, cassette exon usage, alternative last exon usage, and alternative polyadenylation UNITED STATES site choice. Between mouse strains, a fifth of genes have variations in isoform usage that Received: June 9, 2015 contribute to transcriptomic changes, half of which alter encoded amino acid sequence. -
Satellite Cell Senescence Underlies Myopathy in a Mouse Model of Limb-Girdle Muscular Dystrophy 2H Elena Kudryashova, Irina Kramerova, and Melissa J
Research article Satellite cell senescence underlies myopathy in a mouse model of limb-girdle muscular dystrophy 2H Elena Kudryashova, Irina Kramerova, and Melissa J. Spencer Department of Neurology, Center for Duchenne Muscular Dystrophy at UCLA, David Geffen School of Medicine at UCLA, Los Angeles, California, USA. Mutations in the E3 ubiquitin ligase tripartite motif-containing 32 (TRIM32) are responsible for the disease limb-girdle muscular dystrophy 2H (LGMD2H). Previously, we generated Trim32 knockout mice (Trim32–/– mice) and showed that they display a myopathic phenotype accompanied by neurogenic features. Here, we used these mice to investigate the muscle-specific defects arising from the absence of TRIM32, which underlie the myopathic phenotype. Using 2 models of induced atrophy, we showed that TRIM32 is dispensable for muscle atrophy. Conversely, TRIM32 was necessary for muscle regrowth after atrophy. Furthermore, TRIM32-defi- cient primary myoblasts underwent premature senescence and impaired myogenesis due to accumulation of PIAS4, an E3 SUMO ligase and TRIM32 substrate that was previously shown to be associated with senescence. Premature senescence of myoblasts was also observed in vivo in an atrophy/regrowth model. Trim32–/– muscles had substantially fewer activated satellite cells, increased PIAS4 levels, and growth failure compared with wild- type muscles. Moreover, Trim32–/– muscles exhibited features of premature sarcopenia, such as selective type II fast fiber atrophy. These results imply that premature senescence of muscle satellite cells is an underlying pathogenic feature of LGMD2H and reveal what we believe to be a new mechanism of muscular dystrophy associated with reductions in available satellite cells and premature sarcopenia. Introduction and are primarily characterized by proximal muscle weakness and Tripartite motif-containing 32 (TRIM32) is a member of the tri- wasting. -
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Published OnlineFirst August 29, 2012; DOI: 10.1158/1078-0432.CCR-12-0873 Clinical Cancer Cancer Therapy: Preclinical Research Superior Efficacy of a Combined Epigenetic Therapy against Human Mantle Cell Lymphoma Cells Warren Fiskus1, Rekha Rao1, Ramesh Balusu1, Siddhartha Ganguly1, Jianguo Tao2, Eduardo Sotomayor2, Uma Mudunuru1, Jacqueline E. Smith1, Stacey L. Hembruff1, Peter Atadja3, Victor E. Marquez4, and Kapil Bhalla1 Abstract Purpose: A deregulated epigenome contributes to the transformed phenotype of mantle cell lymphoma (MCL). This involves activity of the polycomb repressive complex (PRC) 2, containing three core proteins, EZH2, SUZ12, and EED, in which the SET domain of EZH2 mediates the histone methyltransferase activity. We determined the effects of 3-deazaneplanocin A (DZNep), an S-adeno- sylhomocysteine hydrolase inhibitor, and/or pan-histone deacetylase inhibitor panobinostat (PS) on cultured and primary MCL cells. Experimental Design: Following treatment with DZNep and/or PS, apoptosis and the levels and activity of EZH2 and PRC2 proteins in cultured and primary MCL cells were determined. Results: Treatment with DZNep depleted EZH2, SUZ12, and 3MeK27H3 in the cultured human MCL cells. DZNep also increased expression of p21, p27, and FBXO32, whereas it depleted Cyclin D1 and Cyclin E1 levels in MCL cells. In addition, DZNep treatment induced cell-cycle arrest and apoptosis in cultured and primary MCL cells. Furthermore, as compared with treatment with each agent alone, cotreatment with DZNep and PS caused greater depletion of EZH2, SUZ12, 3MeK27H3, and Cyclin D1 levels, whereas it induced greater expression of FBXO32, p16, p21, and p27. Combined treatment with DZNep and PS synergistically induced apoptosis of cultured and primary MCL cells while relatively sparing normal CD34 þ cells. -
A Substitution Mutation in Cardiac Ubiquitin Ligase, FBXO32, Is Associated with an Autosomal Recessive Form of Dilated Cardiomyopathy Zuhair N
Al-Hassnan et al. BMC Medical Genetics (2016) 17:3 DOI 10.1186/s12881-016-0267-5 RESEARCH ARTICLE Open Access A substitution mutation in cardiac ubiquitin ligase, FBXO32, is associated with an autosomal recessive form of dilated cardiomyopathy Zuhair N. Al-Hassnan1,2,7,8*, Zarghuna MA. Shinwari1, Salma M. Wakil3, Sahar Tulbah1, Shamayel Mohammed4, Zuhair Rahbeeni2, Mohammed Alghamdi4, Monther Rababh1, Dilek Colak5, Namik Kaya3, Majid Al-Fayyadh1,6 and Jehad Alburaiki6 Abstract Background: Familial dilated cardiomyopathy (DCM) is genetically heterogeneous. Mutations in more than 40 genes have been identified in familial cases, mostly inherited in an autosomal dominant pattern. DCM due to recessive mutations is rarely observed. In consanguineous families, homozygosity mapping and whole exome sequencing (WES) can be utilized to identify the genetic defects in recessively inherited DCM. Methods: In a consanguineous family with four affected siblings with severe DCM, we combined homozygosity mapping, linkage analysis and WES, to uncover the genetic defect. Results: A region of homozygosity (ROH) on chromosome 8q24.13–24.23 was found to be shared by all of the four affected siblings. WES detected ~47,000 variants that were filtered to a homozygous mutation (p.Gly243Arg) in the FBXO32 gene, located within the identified ROH. The mutation segregated with the phenotype, replaced a highly- conserved amino acid, and was not detected in 1986 ethnically-matched chromosomes. FBXO32, which encodes a muscle-specific ubiquitin ligase, has been implicated in the pathogenesis of cardiomyopathy through the ubiquitin proteasome system (UPS). In addition, FBXO32-knockout mice manifest with cardiomyopathy. Screening the index patient for all of the WES variants in 48 genes known to be implicated in hypertrophic and dilated cardiomyopathy was negative. -
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 -
Gene Expression Signature of Menstrual Cyclic Phase in Normal Cycling Endometrium
Gene Expression Signature of Menstrual Cyclic Phase in Normal Cycling Endometrium A Thesis SUBMITTED TO THE FACULTY OF UNIVERSITY OF MINNESOTA BY Ling Cen IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE Adviser: George Vasmatzis Co-Adviser: Claudia Neuhauser December 2014 © Ling Cen 2014 Acknowledgements First, I would like to thank my advisor, Dr. George Vasmatzis for giving me an opportunity to work on this project in his group. This work could not have been completed without his kind guidance. I also would like to thank my co-advisor, Dr. Claudia Neuhauser for her advising and guidance during the study in the program. Further, I also very much appreciate Dr. Peter Li for serving on my committee and for his helpful discussions. Additionally, I’m grateful to Dr. Y.F. Wong for his generosity in sharing the gene expression data for our analysis. Most importantly, I am deeply indebted to my family and friends, for their continuous love, support, patience, and encouragement during the completion of this work. i Abstract Gene expression profiling has been widely used in understanding global gene expression alterations in endometrial cancer vs. normal cells. In many microarray-based endometrial cancer studies, comparisons of cancer with normal cells were generally made using heterogeneous samples in terms of menstrual cycle phases, or status of hormonal therapies, etc, which may confound the search for differentially expressed genes playing roles in the progression of endometrial cancer. These studies will consequently fail to uncover genes that are important in endometrial cancer biology. Thus it is fundamentally important to identify a gene signature for discriminating normal endometrial cyclic phases. -
Genotype Frequency Distributions of 28 SNP Markers in Two Commercial
Li et al. BMC Genetics (2020) 21:12 https://doi.org/10.1186/s12863-020-0815-z RESEARCH ARTICLE Open Access Genotype frequency distributions of 28 SNP markers in two commercial lines and five Chinese native chicken populations Jing-Jing Li1, Long Zhang2, Peng Ren1, Ye Wang1, Ling-Qian Yin1, Jin-Shan Ran1, Xian-Xian Zhang1 and Yi-Ping Liu1* Abstract Background: Modern breeding in the poultry industry mainly aims to produce high-performance poultry lines and breeds in two main directions of productivity, meat and eggs. To understand more about the productive potential of lowly selected Chinese native chicken populations, we selected 14 representative SNP markers strongly associated with growth traits or carcass traits and 14 SNP markers strongly associated with egg laying traits through previous reports. By using the MassArray technology, we detected the genotype frequency distributions of these 28 SNP markers in seven populations including four lowly selected as well as one moderately selected Sichuan native chicken populations, one commercial broiler line and one commercial layer line. Results: Based on the genotype frequency distributions of these 28 SNP markers in 5 native chicken populations and 2 commercial lines, the results suggested that these Chinese indigenous chicken populations have a relatively close relationship with the commercial broiler line but a marked distinction from the commercial layer line. Two native chicken breeds, Shimian Caoke Chicken and Daheng Broilers, share similar genetic structure with the broiler line. Conclusions: Our observations may help us to better select and breed superior domestic chickens and provide new clues for further study of breeding programs in local chicken populations. -
TF–RBP–AS Triplet Analysis Reveals the Mechanisms of Aberrant
International Journal of Molecular Sciences Article TF–RBP–AS Triplet Analysis Reveals the Mechanisms of Aberrant Alternative Splicing Events in Kidney Cancer: Implications for Their Possible Clinical Use as Prognostic and Therapeutic Biomarkers Meng He and Fuyan Hu * Department of Statistics, School of Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan 430070, China; [email protected] * Correspondence: [email protected]; Tel.: +86-027-87108033 Abstract: Aberrant alternative splicing (AS) is increasingly linked to cancer; however, how AS contributes to cancer development still remains largely unknown. AS events (ASEs) are largely regulated by RNA-binding proteins (RBPs) whose ability can be modulated by a variety of genetic and epigenetic mechanisms. In this study, we used a computational framework to investigate the roles of transcription factors (TFs) on regulating RBP-AS interactions. A total of 6519 TF–RBP– AS triplets were identified, including 290 TFs, 175 RBPs, and 16 ASEs from TCGA–KIRC RNA sequencing data. TF function categories were defined according to correlation changes between RBP expression and their targeted ASEs. The results suggested that most TFs affected multiple targets, and six different classes of TF-mediated transcriptional dysregulations were identified. Then, Citation: He, M.; Hu, F. TF–RBP–AS regulatory networks were constructed for TF–RBP–AS triplets. Further pathway-enrichment analysis Triplet Analysis Reveals the showed that these TFs and RBPs involved in triplets were enriched in a variety of pathways that were Mechanisms of Aberrant Alternative associated with cancer development and progression. Survival analysis showed that some triplets Splicing Events in Kidney Cancer: were highly associated with survival rates. -
Engineered Type 1 Regulatory T Cells Designed for Clinical Use Kill Primary
ARTICLE Acute Myeloid Leukemia Engineered type 1 regulatory T cells designed Ferrata Storti Foundation for clinical use kill primary pediatric acute myeloid leukemia cells Brandon Cieniewicz,1* Molly Javier Uyeda,1,2* Ping (Pauline) Chen,1 Ece Canan Sayitoglu,1 Jeffrey Mao-Hwa Liu,1 Grazia Andolfi,3 Katharine Greenthal,1 Alice Bertaina,1,4 Silvia Gregori,3 Rosa Bacchetta,1,4 Norman James Lacayo,1 Alma-Martina Cepika1,4# and Maria Grazia Roncarolo1,2,4# Haematologica 2021 Volume 106(10):2588-2597 1Department of Pediatrics, Division of Stem Cell Transplantation and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, USA; 2Stanford Institute for Stem Cell Biology and Regenerative Medicine, Stanford School of Medicine, Stanford, CA, USA; 3San Raffaele Telethon Institute for Gene Therapy, Milan, Italy and 4Center for Definitive and Curative Medicine, Stanford School of Medicine, Stanford, CA, USA *BC and MJU contributed equally as co-first authors #AMC and MGR contributed equally as co-senior authors ABSTRACT ype 1 regulatory (Tr1) T cells induced by enforced expression of interleukin-10 (LV-10) are being developed as a novel treatment for Tchemotherapy-resistant myeloid leukemias. In vivo, LV-10 cells do not cause graft-versus-host disease while mediating graft-versus-leukemia effect against adult acute myeloid leukemia (AML). Since pediatric AML (pAML) and adult AML are different on a genetic and epigenetic level, we investigate herein whether LV-10 cells also efficiently kill pAML cells. We show that the majority of primary pAML are killed by LV-10 cells, with different levels of sensitivity to killing. Transcriptionally, pAML sensitive to LV-10 killing expressed a myeloid maturation signature. -
Human Leucine-Rich Repeat Proteins: a Genome-Wide Bioinformatic Categorization and Functional Analysis in Innate Immunity
Human leucine-rich repeat proteins: a genome-wide bioinformatic categorization and functional analysis in innate immunity Aylwin C. Y. Nga,b,1, Jason M. Eisenberga,b,1, Robert J. W. Heatha, Alan Huetta, Cory M. Robinsonc, Gerard J. Nauc, and Ramnik J. Xaviera,b,2 aCenter for Computational and Integrative Biology, and Gastrointestinal Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114; bThe Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142; and cMicrobiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261 Edited by Jeffrey I. Gordon, Washington University School of Medicine, St. Louis, MO, and approved June 11, 2010 (received for review February 17, 2010) In innate immune sensing, the detection of pathogen-associated proteins have been implicated in human diseases to date, notably molecular patterns by recognition receptors typically involve polymorphisms in NOD2 in Crohn disease (8, 9), CIITA in leucine-rich repeats (LRRs). We provide a categorization of 375 rheumatoid arthritis and multiple sclerosis (10), and TLR5 in human LRR-containing proteins, almost half of which lack other Legionnaire disease (11). identifiable functional domains. We clustered human LRR proteins Most LRR domains consist of a chain of between 2 and 45 by first assigning LRRs to LRR classes and then grouping the proteins LRRs (12). Each repeat in turn is typically 20 to 30 residues long based on these class assignments, revealing several of the resulting and can be divided into a highly conserved segment (HCS) fol- protein groups containing a large number of proteins with certain lowed by a variable segment (VS).