Assessing the Functional Association of Intronic Mirnas with Their Host Genes
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DOWNREGULATION of PAX2 SUPPRESSES OVARIAN CANCER CELL GROWTH Huijuan Song
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 8-2011 DOWNREGULATION OF PAX2 SUPPRESSES OVARIAN CANCER CELL GROWTH huijuan song Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Biology Commons, Cancer Biology Commons, Cell Biology Commons, Molecular Biology Commons, and the Molecular Genetics Commons Recommended Citation song, huijuan, "DOWNREGULATION OF PAX2 SUPPRESSES OVARIAN CANCER CELL GROWTH" (2011). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 165. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/165 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. DOWNREGULATION OF PAX2 SUPPRESSES OVARIAN CANCER CELL GROWTH by Huijuan Song, MD, MS APPROVED: -------------_.-._.__.._----------- APPROVED: Dean, The University of Texas, Health Science Center at Houston Graduate School of Biomedical Sciences DOWNREGULATION OF PAX2 SUPPRESSES OVARIAN CANCER CELL GROWTH A DISSERTATION Presented to the Faculty of The University of Texas Health Science Center at Houston and The University of Texas M. -
CPTC-TP53BP1-1 (CAB079980) Immunohistochemistry Immunofluorescence
CPTC-TP53BP1-1 (CAB079980) Uniprot ID: Q12888 Protein name: TP53B_HUMAN Full name: TP53-binding protein 1 Function: Double-strand break (DSB) repair protein involved in response to DNA damage, telomere dynamics and class-switch recombination (CSR) during antibody genesis (PubMed:12364621, PubMed:22553214, PubMed:23333306, PubMed:17190600, PubMed:21144835, PubMed:28241136). Plays a key role in the repair of double-strand DNA breaks (DSBs) in response to DNA damage by promoting non-homologous end joining (NHEJ)- mediated repair of DSBs and specifically counteracting the function of the homologous recombination (HR) repair protein BRCA1 (PubMed:22553214, PubMed:23727112, PubMed:23333306). In response to DSBs, phosphorylation by ATM promotes interaction with RIF1 and dissociation from NUDT16L1/TIRR, leading to recruitment to DSBs sites (PubMed:28241136). Recruited to DSBs sites by recognizing and binding histone H2A monoubiquitinated at 'Lys-15' (H2AK15Ub) and histone H4 dimethylated at 'Lys-20' (H4K20me2), two histone marks that are present at DSBs sites (PubMed:23760478, PubMed:28241136, PubMed:17190600). Required for immunoglobulin class-switch recombination (CSR) during antibody genesis, a process that involves the generation of DNA DSBs (PubMed:23345425). Participates in the repair and the orientation of the broken DNA ends during CSR (By similarity). In contrast, it is not required for classic NHEJ and V(D)J recombination (By similarity). Promotes NHEJ of dysfunctional telomeres via interaction with PAXIP1 (PubMed:23727112). Subcellular -
Allele-Specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish
Allele-specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish by Ailu Chen A dissertation submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy Auburn, Alabama August 1, 2015 Keywords: catfish, interspecific hybrids, allele-specific expression, ribosomal protein Copyright 2015 by Ailu Chen Approved by Zhanjiang Liu, Chair, Professor, School of Fisheries, Aquaculture and Aquatic Sciences Nannan Liu, Professor, Entomology and Plant Pathology Eric Peatman, Associate Professor, School of Fisheries, Aquaculture and Aquatic Sciences Aaron M. Rashotte, Associate Professor, Biological Sciences Abstract Interspecific hybridization results in a vast reservoir of allelic variations, which may potentially contribute to phenotypical enhancement in the hybrids. Whether the allelic variations are related to the downstream phenotypic differences of interspecific hybrid is still an open question. The recently developed genome-wide allele-specific approaches that harness high- throughput sequencing technology allow direct quantification of allelic variations and gene expression patterns. In this work, I investigated allele-specific expression (ASE) pattern using RNA-Seq datasets generated from interspecific catfish hybrids. The objective of the study is to determine the ASE genes and pathways in which they are involved. Specifically, my study investigated ASE-SNPs, ASE-genes, parent-of-origins of ASE allele and how ASE would possibly contribute to heterosis. My data showed that ASE was operating in the interspecific catfish system. Of the 66,251 and 177,841 SNPs identified from the datasets of the liver and gill, 5,420 (8.2%) and 13,390 (7.5%) SNPs were identified as significant ASE-SNPs, respectively. -
MLL3 Suppresses Tumorigenesis Through Regulating TNS3 Enhancer Activity
Zheng et al. Cell Death and Disease (2021) 12:364 https://doi.org/10.1038/s41419-021-03647-2 Cell Death & Disease ARTICLE Open Access MLL3 suppresses tumorigenesis through regulating TNS3 enhancer activity Jun-Yi Zheng1,2, Chen-Yu Wang1,2,ChuanGao1,2,QiongXiao1,2,Cheng-WeiHuang1,2,MinWu 1,2 and Lian-Yun Li1,2 Abstract MLL3 is a histone H3K4 methyltransferase that is frequently mutated in cancer, but the underlying molecular mechanisms remain elusive. Here, we found that MLL3 depletion by CRISPR/sgRNA significantly enhanced cell migration, but did not elevate the proliferation rate of cancer cells. Through RNA-Seq and ChIP-Seq approaches, we identified TNS3 as the potential target gene for MLL3. MLL3 depletion caused downregulation of H3K4me1 and H3K27ac on an enhancer ~ 7 kb ahead of TNS3. 3C assay indicated the identified enhancer interacts with TNS3 promoter and repression of enhancer activity by dCas9-KRAB system impaired TNS3 expression. Exogenous expression of TNS3 in MLL3 deficient cells completely blocked the enhanced cell migration phenotype. Taken together, our study revealed a novel mechanism for MLL3 in suppressing cancer, which may provide novel targets for diagnosis or drug development. Introduction lower expression than the average proximal genes, indi- Enhancers are cis-acting elements for transcription cating H3K27ac as an active enhancer hallmark10. 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; factor binding and activate transcription over a long dis- H3K27ac enriched regions in the intergenic chromatin are tance. One of the important features for enhancers is that now used to identify active enhancers3,11,12. Generally, specific patterns of histone modifications occupy the H3K4me3 marks the gene transcription start sites (TSS)13. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Nucleolin and Its Role in Ribosomal Biogenesis
NUCLEOLIN: A NUCLEOLAR RNA-BINDING PROTEIN INVOLVED IN RIBOSOME BIOGENESIS Inaugural-Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf vorgelegt von Julia Fremerey aus Hamburg Düsseldorf, April 2016 2 Gedruckt mit der Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf Referent: Prof. Dr. A. Borkhardt Korreferent: Prof. Dr. H. Schwender Tag der mündlichen Prüfung: 20.07.2016 3 Die vorgelegte Arbeit wurde von Juli 2012 bis März 2016 in der Klinik für Kinder- Onkologie, -Hämatologie und Klinische Immunologie des Universitätsklinikums Düsseldorf unter Anleitung von Prof. Dr. A. Borkhardt und in Kooperation mit dem ‚Laboratory of RNA Molecular Biology‘ an der Rockefeller Universität unter Anleitung von Prof. Dr. T. Tuschl angefertigt. 4 Dedicated to my family TABLE OF CONTENTS 5 TABLE OF CONTENTS TABLE OF CONTENTS ............................................................................................... 5 LIST OF FIGURES ......................................................................................................10 LIST OF TABLES .......................................................................................................12 ABBREVIATION .........................................................................................................13 ABSTRACT ................................................................................................................19 ZUSAMMENFASSUNG -
Comprehensive Array CGH of Normal Karyotype Myelodysplastic
Leukemia (2011) 25, 387–399 & 2011 Macmillan Publishers Limited All rights reserved 0887-6924/11 www.nature.com/leu LEADING ARTICLE Comprehensive array CGH of normal karyotype myelodysplastic syndromes reveals hidden recurrent and individual genomic copy number alterations with prognostic relevance A Thiel1, M Beier1, D Ingenhag1, K Servan1, M Hein1, V Moeller1, B Betz1, B Hildebrandt1, C Evers1,3, U Germing2 and B Royer-Pokora1 1Institute of Human Genetics and Anthropology, Medical Faculty, Heinrich Heine University, Duesseldorf, Germany and 2Department of Hematology, Oncology and Clinical Immunology, Heinrich Heine University, Duesseldorf, Germany About 40% of patients with myelodysplastic syndromes (MDSs) 40–50% of MDS cases have a normal karyotype. MDS patients present with a normal karyotype, and they are facing different with a normal karyotype and low-risk clinical parameters are courses of disease. To advance the biological understanding often assigned into the IPSS low and intermediate-1 risk groups. and to find molecular prognostic markers, we performed a high- resolution oligonucleotide array study of 107 MDS patients In the absence of genetic or biological markers, prognostic (French American British) with a normal karyotype and clinical stratification of these patients is difficult. To better prognosticate follow-up through the Duesseldorf MDS registry. Recurrent these patients, new parameters to identify patients at higher risk hidden deletions overlapping with known cytogenetic aberra- are urgently needed. With the more recently introduced modern tions or sites of known tumor-associated genes were identi- technologies of whole-genome-wide surveys of genetic aberra- fied in 4q24 (TET2, 2x), 5q31.2 (2x), 7q22.1 (3x) and 21q22.12 tions, it is hoped that more insights into the biology of disease (RUNX1, 2x). -
Supplementary Table
Supporting information Additional Supporting Information may be found in the online version of this article: Supplementary Table S1: List of deregulated genes in serum of cancer patients in comparision to serum of healthy individuals (p < 0.05, logFC ≥ 1). ENTREZ Gene ID Symbol Gene Name logFC p-value q-value 8407 TAGLN2 transgelin 2 3,78 3,40E-07 0,0022 7035 TFPI tissue factor pathway inhibitor (lipoprotein-associated coagulation inhibitor) 3,53 4,30E-05 0,022 28996 HIPK2 homeodomain interacting protein kinase 2 3,49 2,50E-06 0,0066 3690 ITGB3 integrin, beta 3 (platelet glycoprotein IIIa, antigen CD61) 3,48 0,00053 0,081 7035 TFPI tissue factor pathway inhibitor (lipoprotein-associated coagulation inhibitor) 3,45 1,80E-05 0,014 4900 NRGN neurogranin (protein kinase C substrate, RC3) 3,32 0,00012 0,037 10398 MYL9 myosin, light chain 9, regulatory 3,22 8,20E-06 0,011 3796 KIF2A kinesin heavy chain member 2A 3,14 0,00015 0,04 5476 CTSA cathepsin A 3,08 0,00015 0,04 6648 SOD2 superoxide dismutase 2, mitochondrial 3,07 4,20E-06 0,0077 2982 GUCY1A3 guanylate cyclase 1, soluble, alpha 3 3,07 0,0015 0,13 8459 TPST2 tyrosylprotein sulfotransferase 2 3,05 0,00043 0,074 2983 GUCY1B3 guanylate cyclase 1, soluble, beta 3 3,04 3,70E-05 0,021 145781 GCOM1 GRINL1A complex locus 3,02 0,00027 0,059 10611 PDLIM5 PDZ and LIM domain 5 2,87 1,80E-05 0,014 5567 PRKACB protein kinase, cAMP-dependent, catalytic, beta 2,85 0,0015 0,13 25907 TMEM158 transmembrane protein 158 (gene/pseudogene) 2,84 0,0068 0,27 8848 TSC22D1 TSC22 domain family, member 1 2,83 0,00058 0,084 26 351 APP amyloid beta (A4) precursor protein 2,82 0,00018 0,045 9240 PNMA1 paraneoplastic antigen MA1 2,78 0,00028 0,06 400073 C12orf76 chromosome 12 open reading frame 76 2,78 0,00069 0,091 649260 ILMN_35781 PREDICTED: Homo sapiens similar to LIM and senescent cell antigen-like domains 1 (LOC649260), mRNA. -
Human C7orf50 ORF Mammalian Expression Plasmid, C-Gfpspark Tag
Human C7orf50 ORF mammalian expression plasmid, C-GFPSpark tag Catalog Number: HG14587-ACG General Information Plasmid Resuspension protocol Gene : chromosome 7 open reading frame 50 1. Centrifuge at 5,000×g for 5 min. Official Symbol : C7ORF50 2. Carefully open the tube and add 100 l of sterile water to Synonym : YCR016W dissolve the DNA. Source : Human 3. Close the tube and incubate for 10 minutes at room cDNA Size: 585bp temperature. RefSeq : BC006224 4. Briefly vortex the tube and then do a quick spin to Description concentrate the liquid at the bottom. Speed is less than Lot : Please refer to the label on the tube 5000×g. Vector : pCMV3-C-GFPSpark 5. Store the plasmid at -20 ℃. Shipping carrier : Each tube contains approximately 10 μg of lyophilized plasmid. The plasmid is ready for: Storage : • Restriction enzyme digestion The lyophilized plasmid can be stored at ambient temperature for three months. • PCR amplification Quality control : • E. coli transformation The plasmid is confirmed by full-length sequencing with primers • DNA sequencing in the sequencing primer list. Sequencing primer list : E.coli strains for transformation (recommended but not limited) pCMV3-F: 5’ CAGGTGTCCACTCCCAGGTCCAAG 3’ Most commercially available competent cells are appropriate for pcDNA3-R : 5’ GGCAACTAGAAGGCACAGTCGAGG 3’ the plasmid, e.g. TOP10, DH5α and TOP10F´. Or Forward T7 : 5’ TAATACGACTCACTATAGGG 3’ ReverseBGH : 5’ TAGAAGGCACAGTCGAGG 3’ pCMV3-F and pcDNA3-R are designed by Sino Biological Inc. Customers can order the primer pair from any oligonucleotide supplier. Manufactured By Sino Biological Inc., FOR RESEARCH USE ONLY. NOT FOR USE IN HUMANS. Fax :+86-10-51029969 Tel:+86- 400-890-9989 http://www.sinobiological.com Human C7orf50 ORF mammalian expression plasmid, C-GFPSpark tag Catalog Number: HG14587-ACG Vector Information All of the pCMV vectors are designed for high-level stable and transient expression in mammalian hosts. -
High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype
Supplementary Information High Constitutive Cytokine Release by Primary Human Acute Myeloid Leukemia Cells Is Associated with a Specific Intercellular Communication Phenotype Håkon Reikvam 1,2,*, Elise Aasebø 1, Annette K. Brenner 2, Sushma Bartaula-Brevik 1, Ida Sofie Grønningsæter 2, Rakel Brendsdal Forthun 2, Randi Hovland 3,4 and Øystein Bruserud 1,2 1 Department of Clinical Science, University of Bergen, 5020, Bergen, Norway 2 Department of Medicine, Haukeland University Hospital, 5021, Bergen, Norway 3 Department of Medical Genetics, Haukeland University Hospital, 5021, Bergen, Norway 4 Institute of Biomedicine, University of Bergen, 5020, Bergen, Norway * Correspondence: [email protected]; Tel.: +55-97-50-00 J. Clin. Med. 2019, 8, x 2 of 36 Figure S1. Mutational studies in a cohort of 71 AML patients. The figure shows the number of patients with the various mutations (upper), the number of mutations in for each patient (middle) and the number of main classes with mutation(s) in each patient (lower). 2 J. Clin. Med. 2019, 8, x; doi: www.mdpi.com/journal/jcm J. Clin. Med. 2019, 8, x 3 of 36 Figure S2. The immunophenotype of primary human AML cells derived from 62 unselected patients. The expression of the eight differentiation markers CD13, CD14, CD15, CD33, CD34, CD45, CD117 and HLA-DR was investigated for 62 of the 71 patients included in our present study. We performed an unsupervised hierarchical cluster analysis and identified four patient main clusters/patient subsets. The mutational profile for each f the 62 patients is also given (middle), no individual mutation of main class of mutations showed any significant association with any of the for differentiation marker clusters (middle). -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
EBF1 Drives Hallmark B Cell Gene Expression by Enabling the Interaction of PAX5 with the MLL H3K4 Methyltransferase Complex Charles E
www.nature.com/scientificreports OPEN EBF1 drives hallmark B cell gene expression by enabling the interaction of PAX5 with the MLL H3K4 methyltransferase complex Charles E. Bullerwell1, Philippe Pierre Robichaud1,2, Pierre M. L. Deprez1, Andrew P. Joy1, Gabriel Wajnberg1, Darwin D’Souza1,3, Simi Chacko1, Sébastien Fournier1, Nicolas Crapoulet1, David A. Barnett1,2, Stephen M. Lewis1,2 & Rodney J. Ouellette1,2* PAX5 and EBF1 work synergistically to regulate genes that are involved in B lymphocyte diferentiation. We used the KIS-1 difuse large B cell lymphoma cell line, which is reported to have elevated levels of PAX5 expression, to investigate the mechanism of EBF1- and PAX5-regulated gene expression. We demonstrate the lack of expression of hallmark B cell genes, including CD19, CD79b, and EBF1, in the KIS-1 cell line. Upon restoration of EBF1 expression we observed activation of CD19, CD79b and other genes with critical roles in B cell diferentiation. Mass spectrometry analyses of proteins co-immunoprecipitated with PAX5 in KIS-1 identifed components of the MLL H3K4 methylation complex, which drives histone modifcations associated with transcription activation. Immunoblotting showed a stronger association of this complex with PAX5 in the presence of EBF1. Silencing of KMT2A, the catalytic component of MLL, repressed the ability of exogenous EBF1 to activate transcription of both CD19 and CD79b in KIS-1 cells. We also fnd association of PAX5 with the MLL complex and decreased CD19 expression following silencing of KMT2A in other human B cell lines. These data support an important role for the MLL complex in PAX5-mediated transcription regulation.