University of Birmingham Germline RBBP8 Variants Associated With
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Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins
International Journal of Molecular Sciences Article Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins M. Quadir Siddiqui 1,† , Maulik D. Badmalia 1,† and Trushar R. Patel 1,2,3,* 1 Alberta RNA Research and Training Institute, Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada; [email protected] (M.Q.S.); [email protected] (M.D.B.) 2 Department of Microbiology, Immunology and Infectious Disease, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive, Calgary, AB T2N 4N1, Canada 3 Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB T6G 2E1, Canada * Correspondence: [email protected] † These authors contributed equally to the work. Abstract: Members of the human Zyxin family are LIM domain-containing proteins that perform critical cellular functions and are indispensable for cellular integrity. Despite their importance, not much is known about their structure, functions, interactions and dynamics. To provide insights into these, we used a set of in-silico tools and databases and analyzed their amino acid sequence, phylogeny, post-translational modifications, structure-dynamics, molecular interactions, and func- tions. Our analysis revealed that zyxin members are ohnologs. Presence of a conserved nuclear export signal composed of LxxLxL/LxxxLxL consensus sequence, as well as a possible nuclear localization signal, suggesting that Zyxin family members may have nuclear and cytoplasmic roles. The molecular modeling and structural analysis indicated that Zyxin family LIM domains share Citation: Siddiqui, M.Q.; Badmalia, similarities with transcriptional regulators and have positively charged electrostatic patches, which M.D.; Patel, T.R. -
Gene Expression Signature–Based Prognostic Risk Score in Patients with Primary Central Nervous System Lymphoma
Published OnlineFirst August 20, 2012; DOI: 10.1158/1078-0432.CCR-12-0596 Clinical Cancer Imaging, Diagnosis, Prognosis Research Gene Expression Signature–Based Prognostic Risk Score in Patients with Primary Central Nervous System Lymphoma Atsushi Kawaguchi1, Yasuo Iwadate2, Yoshihiro Komohara3, Masakazu Sano4, Koji Kajiwara5, Naoki Yajima4, Naoto Tsuchiya4, Jumpei Homma4, Hiroshi Aoki4, Tsutomu Kobayashi4, Yuko Sakai7, Hiroaki Hondoh6, Yukihiko Fujii4, Tatsuyuki Kakuma1, and Ryuya Yamanaka7 Abstract Purpose: Better understanding of the underlying biology of primary central nervous system lymphomas (PCNSL) is critical for the development of early detection strategies, molecular markers, and new therapeutics. This study aimed to define genes associated with survival of patients with PCNSL. Experimental Design: Expression profiling was conducted on 32 PCNSLs. A gene classifier was developed using the random survival forests model. On the basis of this, prognosis prediction score (PPS) using immunohistochemical analysis is also developed and validated in another data set with 43 PCNSLs. Results: We identified 23 genes in which expressions were strongly and consistently related to patient survival. A PPS was developed for overall survival (OS) using a univariate Cox model. Survival analyses using the selected 23-gene classifiers revealed a prognostic value for high-dose methotrexate (HD-MTX) and HD- MTX–containing polychemotherapy regimen–treated patients. Patients predicted to have good outcomes by the PPS showed significantly longer survival than those with poor predicted outcomes (P < 0.0001). PPS using immunohistochemical analysis is also significant in test (P ¼ 0.0004) and validation data set (P ¼ 0.0281). The gene-based predictor was an independent prognostic factor in a multivariate model that included clinical risk stratification (P < 0.0001). -
Prognosis Value of RBBP8 Expression in Plasma Cell Myeloma
Cancer Gene Therapy https://doi.org/10.1038/s41417-018-0069-3 ARTICLE Prognosis value of RBBP8 expression in plasma cell myeloma 1 2 3 4 5 1 1 1 Weilong Zhang ● Ying Song ● Xue He ● Xiaoni Liu ● Ye Zhang ● Zuozhen Yang ● Ping Yang ● Jing Wang ● 1 4 3 4 1 Kai Hu ● Weiyou Liu ● Xiuru Zhang ● Xiaoliang Yuan ● Hongmei Jing Received: 30 July 2018 / Revised: 30 October 2018 / Accepted: 2 November 2018 © The Author(s) 2019. This article is published with open access Abstract Plasma cell myeloma (PCM) secretes monoclonal immunoglobulin (Ig) by clonal plasma cells of abnormal proliferation in the bone marrow. As PCM is incurable, it is necessary to find new biomarkers to predict the prognosis and recurrence of PCM. The relationship between cancer and RBBP8 has not been fully studied. The role of RBBP8 in tumorigenesis remains inconsistent. We described the expression of RBBP8 in the gene expression profile of 1930 PCM samples (1878 PCM patients) from seven independent data sets. We analyzed the relationship between RBBP8 and survival prognosis, recurrence, and treatment response in patients with PCM, and the biological significance of RBBP8 in PCM. The gene expression level of RBBP8 was significantly related to the International staging system (ISS) grade of PCM (P = 0.0012). RBBP8 expression in different molecular subtypes was different (P < 2.2e-16). High RBBP8 expression is associated with 1234567890();,: 1234567890();,: poor survival in PCM (P < 0.0001). High expression of RBBP8 indicates that PCM patients are more likely to relapse (P = 0.0078). The biological significance of RBBP8 in PCM is related to the cell cycle (P < 0.05). -
HCC and Cancer Mutated Genes Summarized in the Literature Gene Symbol Gene Name References*
HCC and cancer mutated genes summarized in the literature Gene symbol Gene name References* A2M Alpha-2-macroglobulin (4) ABL1 c-abl oncogene 1, receptor tyrosine kinase (4,5,22) ACBD7 Acyl-Coenzyme A binding domain containing 7 (23) ACTL6A Actin-like 6A (4,5) ACTL6B Actin-like 6B (4) ACVR1B Activin A receptor, type IB (21,22) ACVR2A Activin A receptor, type IIA (4,21) ADAM10 ADAM metallopeptidase domain 10 (5) ADAMTS9 ADAM metallopeptidase with thrombospondin type 1 motif, 9 (4) ADCY2 Adenylate cyclase 2 (brain) (26) AJUBA Ajuba LIM protein (21) AKAP9 A kinase (PRKA) anchor protein (yotiao) 9 (4) Akt AKT serine/threonine kinase (28) AKT1 v-akt murine thymoma viral oncogene homolog 1 (5,21,22) AKT2 v-akt murine thymoma viral oncogene homolog 2 (4) ALB Albumin (4) ALK Anaplastic lymphoma receptor tyrosine kinase (22) AMPH Amphiphysin (24) ANK3 Ankyrin 3, node of Ranvier (ankyrin G) (4) ANKRD12 Ankyrin repeat domain 12 (4) ANO1 Anoctamin 1, calcium activated chloride channel (4) APC Adenomatous polyposis coli (4,5,21,22,25,28) APOB Apolipoprotein B [including Ag(x) antigen] (4) AR Androgen receptor (5,21-23) ARAP1 ArfGAP with RhoGAP domain, ankyrin repeat and PH domain 1 (4) ARHGAP35 Rho GTPase activating protein 35 (21) ARID1A AT rich interactive domain 1A (SWI-like) (4,5,21,22,24,25,27,28) ARID1B AT rich interactive domain 1B (SWI1-like) (4,5,22) ARID2 AT rich interactive domain 2 (ARID, RFX-like) (4,5,22,24,25,27,28) ARID4A AT rich interactive domain 4A (RBP1-like) (28) ARID5B AT rich interactive domain 5B (MRF1-like) (21) ASPM Asp (abnormal -
Signaling Pathway Activities Improve Prognosis for Breast Cancer Yunlong Jiao1,2,3,4, Marta R
bioRxiv preprint doi: https://doi.org/10.1101/132357; this version posted April 29, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Signaling Pathway Activities Improve Prognosis for Breast Cancer Yunlong Jiao1,2,3,4, Marta R. Hidalgo5, Cankut Çubuk6, Alicia Amadoz5, José Carbonell- Caballero5, Jean-Philippe Vert1,2,3,4, and Joaquín Dopazo6,7,8,* 1MINES ParisTech, PSL Research University, Centre for Computational Biology, 77300 Fontainebleau, France; 2Institut Curie, 75248 Paris Cedex, Franc; 3INSERM, U900, 75248 Paris Cedex, France; 4Ecole Normale Supérieure, Department of Mathematics and their Applications, 75005 Paris, France; 5 Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), 46012 Valencia, Spain; 6Clinical Bioinformatics Research Area, Fundación Progreso y Salud (FPS), Hospital Virgen del Rocío, 41013, Sevilla, Spain; 7Functional Genomics Node (INB), FPS, Hospital Virgen del Rocío, 41013 Sevilla, Spain; 8 Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), FPS, Hospital Virgen del Rocío, 41013, Sevilla, Spain *To whom correspondence should be addressed. Abstract With the advent of high-throughput technologies for genome-wide expression profiling, a large number of methods have been proposed to discover gene-based signatures as biomarkers to guide cancer prognosis. However, it is often difficult to interpret the list of genes in a prognostic signature regarding the underlying biological processes responsible for disease progression or therapeutic response. A particularly interesting alternative to gene-based biomarkers is mechanistic biomarkers, derived from signaling pathway activities, which are known to play a key role in cancer progression and thus provide more informative insights into cellular functions involved in cancer mechanism. -
Lipid Droplets Protect Human Β Cells from Lipotoxic-Induced Stress and Cell
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.19.449124; this version posted June 20, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Lipid droplets protect human β cells from lipotoxic-induced stress and cell identity changes Xin Tong1 and Roland Stein1,2 1Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 2Corresponding author: [email protected]; Tel: 615-322-7026 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.06.19.449124; this version posted June 20, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract (200 words) Free fatty acids (FFAs) are often stored in lipid droplet (LD) depots for eventual metabolic and/or synthetic use in many cell types, such a muscle, liver, and fat. In pancreatic islets, overt LD accumulation was detected in humans but not mice. LD buildup in islets was principally observed after roughly 11 years of age, increasing throughout adulthood under physiologic conditions, and also enriched in type 2 diabetes. To obtain insight into the role of LDs in human islet β cell function, the levels of a key LD structural protein, perilipin2 (PLIN2), were manipulated by lentiviral-mediated knock-down (KD) or over-expression (OE) in EndoCβH2-Cre cells, a human cell line with adult islet β-like properties. -
Table S1 Primers Used for Genomic DNA Sequencing of K-Ras and TP53
Table S1 Primers used for genomic DNA sequencing of K-Ras and TP53 Gene, exon Forward primer Reverse primer k-Ras, exon 1 GTTCTAATATAGTCACATTT ACTCATGAAAATGGTCAGAGAAACCTTTAT k-Ras, exon 2 GAAGTAAAAGGTGCACTGTA AACTATAATTACTCCTTAAT TP53, exon 4 AGGACCTGGTCCTCTGAC CTGGGAAGGGACAGAAGA TP53, exon 5 TGACTTTCAACTCTGTCTCCT TCAGTGAGGAATCAGAGGCC TP53, exon 6 CTGGAGAGACGACAGAGGCC CCAGAGACCCCAGTTGCAAAC TP53, exon 7 AAGGCGCACTGGCCTCATCTT CGCCGGAAATGTGATGAGAG TP53, exon 8 TGGTTGGGAGTAGATGGAGCC CACCGCTTCTTGTCCTGCTT TP53, exon 9 GTGGAGGAGACCAAGGGTGCA AGGTAAAACAGTCAAGAAGAA Table S2. Genes in cytogenetic band with recurrent copy number alterations Gains Cytoband Gene Protein name Cytoband Gene Protein name 1 q42.2 KIAA1383 KIAA1383 18 q11.1-11.2 KIAA1772 KIAA1772 establishment of cohesion 1 homolog 1 (S. 1 q42.2 C1orf57 chromosome 1 open reading frame 57 18 q11.1-11.2 ESCO1 cerevisiae) 1 q42.2 PCNXL2 pecanex-like 2 (Drosophila) 18 q11.1-11.2 SNRPD1 small nuclear ribonucleoprotein D1 polypeptide 1 q42.2 KIAA1804 mixed lineage kinase 4 18 q11.1-11.2 ABHD3 abhydrolase domain containing 3 11 q13.1 SLC25A45 solute carrier family 25, member 45 18 q11.1-11.2 MIB1 mindbomb homolog 1 (Drosophila) 11 q13.1 FRMD8 FERM domain containing 8 18 q11.1-11.2 GATA6 GATA binding protein 6 11 q13.1 NCRNA00084 non-protein coding RNA 84 18 q11.1-11.2 CTAGE1 cutaneous T-cell lymphoma-associated antigen 1 metastasis associated lung adenocarcinoma 11 q13.1 MALAT1 18 q11.1-11.2 RBBP8 retinoblastoma binding protein 8 transcript 1 (non-protein coding) 20 q13.13 CEBPB CCAAT/enhancer -
Disparate Binding Kinetics by an Intrinsically Disordered Domain Enables Temporal Regulation of Transcriptional Complex Formation
Disparate binding kinetics by an intrinsically disordered domain enables temporal regulation of transcriptional complex formation Neil O. Robertsona, Ngaio C. Smitha, Athina Manakasa, Mahiar Mahjouba, Gordon McDonaldb, Ann H. Kwana, and Jacqueline M. Matthewsa,1 aSchool of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; and bCentre for Translational Data Science, University of Sydney, Sydney, NSW 2006 Edited by G. Marius Clore, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, and approved March 26, 2018 (received for review August 18, 2017) Intrinsically disordered regions are highly represented among C-terminal domain (Fig. 1A). LIM domain binding protein 1 mammalian transcription factors, where they often contribute to (LDB1) interacts with all LIM-HD/LMO proteins through a the formation of multiprotein complexes that regulate gene expres- disordered LIM interaction domain (LID) (Fig. 1A), which folds sion. An example of this occurs with LIM-homeodomain (LIM-HD) on binding to LIM1+2 domains to form extended modular com- proteins in the developing spinal cord. The LIM-HD protein LHX3 and plexes (9–11). Competition for LDB1 by LIM-HD/LMO proteins the LIM-HD cofactor LDB1 form a binary complex that gives rise to contributes to a so-called transcriptional “LIM code” that helps interneurons, whereas in adjacent cell populations, LHX3 and LDB1 determine cell fate in the developing spinal cord (12). A binary form a rearranged ternary complex with the LIM-HD protein ISL1, complex comprising LDB1 bound to the LIM-HD protein resulting in motor neurons. The protein–protein interactions within LHX3 triggers differentiation of V2-interneurons (V2-INs) these complexes are mediated by ordered LIM domains in the LIM- (Fig. -
An Evolutionarily Acquired Microrna Shapes Development of Mammalian Cortical Projections
An evolutionarily acquired microRNA shapes development of mammalian cortical projections Jessica L. Diaza,1, Verl B. Siththanandana,1, Victoria Lua,1, Nicole Gonzalez-Navaa, Lincoln Pasquinab,c, Jessica L. MacDonaldb,c,2, Mollie B. Woodworthb,c,d, Abdulkadir Ozkanb,c, Ramesh Naire, Zihuai Hea, Vibhu Sahnib,c,3, Peter Sarnowf, Theo D. Palmera, Jeffrey D. Macklisb,c,4,5, and Suzanne Tharina,g,4,5 aDepartment of Neurosurgery, Stanford University, Stanford, CA 94305; bDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138; cCenter for Brain Science, Harvard University, Cambridge, MA 02138; dDepartment of Ophthalmology, Stanford University, Stanford, CA 94305; eDepartment of Genetics, Stanford Center for Genomics and Personalized Medicine, Stanford, CA 94305; fDepartment of Microbiology and Immunology, Stanford University, Stanford, CA 94305; and gDivision of Neurosurgery, Palo Alto Veterans Affairs Health Care System, Palo Alto, CA 94304 Edited by Carla J. Shatz, Stanford University, Stanford, CA, and approved September 29, 2020 (received for review April 8, 2020) The corticospinal tract is unique to mammals and the corpus layers (13). In the mouse, CSMN and a subset of CPN are gen- callosum is unique to placental mammals (eutherians). The emer- erated around embryonic day 13.5 (e13.5), and both reside in the gence of these structures is thought to underpin the evolutionary deep cortical layer V (Fig. 1A). A larger subset of CPN is gener- acquisition of complex motor and cognitive skills. Corticospinal ated around e15.5, and it populates the superficial cortical layer(s) motor neurons (CSMN) and callosal projection neurons (CPN) are II/III (Fig. -
Supplemental Material.Pdf
Supplemental Material ZNF750 Interacts with KLF4 and RCOR1, KDM1A, and CTBP1/2 Chromatin Regulators to Repress Epidermal Progenitor Genes and Induce Differentiation Genes Lisa D. Boxer, Brook Barajas, Shiying Tao, Jiajing Zhang, and Paul Khavari Supplemental Inventory Figure S1. This figure supports Figure 1 and shows the Gene Ontology terms for ZNF750-bound but unaffected genes, the genomic enrichment of ZNF750 ChIP-seq peaks, and the percentage of peaks that contain the ZNF750 motif. Figure S2. This figure supports Figure 2 and shows gene expression changes with depletion of ZNF750-interacting proteins, confirms the knock-down of ZNF750-interacting proteins, and shows the quantification of Ki67 in ZNF750-interacting protein depleted organotypic tissue. Figure S3. This figure supports Figure 3 and shows the quantification of ZNF750 and interacting protein co-IPs, and IPs and Far western blots demonstrating competition between KLF4 and KDM1A for binding to ZNF750. Figure S4. This figure supports Figure 4 and shows the expression of ZNF750 mutant proteins and the effects of full-length or mutant ZNF750 on differentiation in organotypic tissue and on clonogenic growth. Figure S5. This figure supports Figure 5 and shows the effects of mutagenesis of ZNF750 and KLF4 motifs on reporter activity, and the changes in histone marks with depletion of ZNF750 and interacting proteins. Figure S6. This figure supports Figure 6 and shows the changes in mRNA and protein expression of ZNF750-interacting proteins during keratinocyte differentiation, and the expression of ZNF750-interacting proteins with ZNF750 depletion. Table S1. Supports Figure 1 and shows the genomic coordinates of ZNF750 ChIP-seq peaks. -
Prognosis Value of RBBP8 Expression in Plasma Cell Myeloma
Cancer Gene Therapy (2020) 27:22–29 https://doi.org/10.1038/s41417-018-0069-3 ARTICLE Prognosis value of RBBP8 expression in plasma cell myeloma 1 2 3 4 5 1 1 1 Weilong Zhang ● Ying Song ● Xue He ● Xiaoni Liu ● Ye Zhang ● Zuozhen Yang ● Ping Yang ● Jing Wang ● 1 4 3 4 1 Kai Hu ● Weiyou Liu ● Xiuru Zhang ● Xiaoliang Yuan ● Hongmei Jing Received: 30 July 2018 / Revised: 30 October 2018 / Accepted: 2 November 2018 / Published online: 9 January 2019 © The Author(s) 2019. This article is published with open access Abstract Plasma cell myeloma (PCM) secretes monoclonal immunoglobulin (Ig) by clonal plasma cells of abnormal proliferation in the bone marrow. As PCM is incurable, it is necessary to find new biomarkers to predict the prognosis and recurrence of PCM. The relationship between cancer and RBBP8 has not been fully studied. The role of RBBP8 in tumorigenesis remains inconsistent. We described the expression of RBBP8 in the gene expression profile of 1930 PCM samples (1878 PCM patients) from seven independent data sets. We analyzed the relationship between RBBP8 and survival prognosis, recurrence, and treatment response in patients with PCM, and the biological significance of RBBP8 in PCM. The gene expression level of RBBP8 was significantly related to the International staging system (ISS) grade of PCM (P = 0.0012). RBBP8 expression in different molecular subtypes was different (P < 2.2e-16). High RBBP8 expression is associated with 1234567890();,: 1234567890();,: poor survival in PCM (P < 0.0001). High expression of RBBP8 indicates that PCM patients are more likely to relapse (P = 0.0078). -
Aberrant Recombination and Repair During Immunoglobulin Class Switching in BRCA1-Deficient Human B Cells
Aberrant recombination and repair during immunoglobulin class switching in BRCA1-deficient human B cells Andrea Björkmana, Per Qvistb,c, Likun Dua, Margarita Bartisha, Apostolos Zaravinosa, Konstantinos Georgioua, Anders D. Børglumb,c, Richard A. Gattid,e, Therese Törngrenf, and Qiang Pan-Hammarströma,1 aDepartment of Laboratory Medicine, Karolinska Institutet, 141 86 Stockholm, Sweden; bDepartment of Biomedicine and cCentre for Integrative Sequencing, Aarhus University, 8000 Aarhus, Denmark; Departments of dPathology and Laboratory Medicine and eHuman Genetics, University of California, Los Angeles, CA 90095; and fDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund 22100, Sweden Edited by Tak W. Mak, The Campbell Family Institute for Breast Cancer Research at Princess Margaret Cancer Centre, Ontario Cancer Institute, University Health Network, Toronto, Canada, and approved January 7, 2015 (received for review October 3, 2014) Breast cancer type 1 susceptibility protein (BRCA1) has a multitude (1). When the c-NHEJ pathway is defective, alternative end- of functions that contribute to genome integrity and tumor sup- joining (A-EJ) pathway(s), often associated with resections/dele- pression. Its participation in the repair of DNA double-strand tions and longer MHs, may be operating (1–3). breaks (DSBs) during homologous recombination (HR) is well rec- DSBs are not always pathological, but can also be interme- ognized, whereas its involvement in the second major DSB repair diates of physiological processes, such as those that occur during pathway, nonhomologous end-joining (NHEJ), remains controver- B-cell development. Then, extensive gene rearrangements/mod- sial. Here we have studied the role of BRCA1 in the repair of ifications at the Ig gene loci may occur, resulting in production of DSBs in switch (S) regions during immunoglobulin class switch re- functional antibodies that can recognize and act against an im- combination, a physiological, deletion/recombination process that mense number of different pathogens.