Determined by Radiation Hybrid Mapping Synteny Between
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Evolution, Expression and Meiotic Behavior of Genes Involved in Chromosome Segregation of Monotremes
G C A T T A C G G C A T genes Article Evolution, Expression and Meiotic Behavior of Genes Involved in Chromosome Segregation of Monotremes Filip Pajpach , Linda Shearwin-Whyatt and Frank Grützner * School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia; fi[email protected] (F.P.); [email protected] (L.S.-W.) * Correspondence: [email protected] Abstract: Chromosome segregation at mitosis and meiosis is a highly dynamic and tightly regulated process that involves a large number of components. Due to the fundamental nature of chromosome segregation, many genes involved in this process are evolutionarily highly conserved, but duplica- tions and functional diversification has occurred in various lineages. In order to better understand the evolution of genes involved in chromosome segregation in mammals, we analyzed some of the key components in the basal mammalian lineage of egg-laying mammals. The chromosome passenger complex is a multiprotein complex central to chromosome segregation during both mitosis and meio- sis. It consists of survivin, borealin, inner centromere protein, and Aurora kinase B or C. We confirm the absence of Aurora kinase C in marsupials and show its absence in both platypus and echidna, which supports the current model of the evolution of Aurora kinases. High expression of AURKBC, an ancestor of AURKB and AURKC present in monotremes, suggests that this gene is performing all necessary meiotic functions in monotremes. Other genes of the chromosome passenger complex complex are present and conserved in monotremes, suggesting that their function has been preserved Citation: Pajpach, F.; in mammals. -
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. -
CSNK2B Monoclonal Antibody Catalog Number:67866-1-Ig
For Research Use Only CSNK2B Monoclonal antibody www.ptgcn.com Catalog Number:67866-1-Ig Catalog Number: GenBank Accession Number: CloneNo.: Basic Information 67866-1-Ig BC112017 1B5A6 Size: GeneID (NCBI): Recommended Dilutions: 1000 μg/ml 1460 WB 1:5000-1:20000 Source: Full Name: IF 1:200-1:800 Mouse casein kinase 2, beta polypeptide Isotype: Calculated MW: IgG1 215 aa, 25 kDa Purification Method: Observed MW: Protein G purification 27 kDa Immunogen Catalog Number: AG19180 Applications Tested Applications: Positive Controls: IF, WB,ELISA WB : A549 cells; LNCaP cells, HeLa cells, Jurkat cells, Species Specificity: pig brain tissue, rat brain tissue, mouse brain tissue Human, mouse, rat, pig IF : HeLa cells; CSNK2B is a ubiquitous protein kinase which regulates metabolic pathways, signal transduction, transcription, Background Information translation, and replication. The enzyme is composed of three subunits, alpha, alpha prime and beta, which form a tetrameric holoenzyme. The alpha and alpha prime subunits are catalytic, while the beta subunit serves regulatory functions. The enzyme localizes to the endoplasmic reticulum and the Golgi apparatus. It participates in Wnt signaling, and plays a complex role in regulating the basal catalytic activity of the alpha subunit. Storage: Storage Store at -20ºC. Stable for one year after shipment. Storage Buffer: PBS with 0.02% sodium azide and 50% glycerol pH 7.3. Aliquoting is unnecessary for -20ºC storage For technical support and original validation data for this product please contact: This product is exclusively available under Proteintech T: 4006900926 E: [email protected] W: ptgcn.com Group brand and is not available to purchase from any other manufacturer. -
The Porcine Major Histocompatibility Complex and Related Paralogous Regions: a Review Patrick Chardon, Christine Renard, Claire Gaillard, Marcel Vaiman
The porcine Major Histocompatibility Complex and related paralogous regions: a review Patrick Chardon, Christine Renard, Claire Gaillard, Marcel Vaiman To cite this version: Patrick Chardon, Christine Renard, Claire Gaillard, Marcel Vaiman. The porcine Major Histocom- patibility Complex and related paralogous regions: a review. Genetics Selection Evolution, BioMed Central, 2000, 32 (2), pp.109-128. 10.1051/gse:2000101. hal-00894302 HAL Id: hal-00894302 https://hal.archives-ouvertes.fr/hal-00894302 Submitted on 1 Jan 2000 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Genet. Sel. Evol. 32 (2000) 109–128 109 c INRA, EDP Sciences Review The porcine Major Histocompatibility Complex and related paralogous regions: a review Patrick CHARDON, Christine RENARD, Claire ROGEL GAILLARD, Marcel VAIMAN Laboratoire de radiobiologie et d’etude du genome, Departement de genetique animale, Institut national de la recherche agronomique, Commissariat al’energie atomique, 78352, Jouy-en-Josas Cedex, France (Received 18 November 1999; accepted 17 January 2000) Abstract – The physical alignment of the entire region of the pig major histocompat- ibility complex (MHC) has been almost completed. In swine, the MHC is called the SLA (swine leukocyte antigen) and most of its class I region has been sequenced. -
Genetic Predictors of Response to Anti-Tumor Necrosis Factor Drugs In
Rheumatology Reports 2009; volume 1:e1 Genetic predictors of response of the human immunoglobulin Ig-G1. It works by binding to soluble TNF and neutralizing it Correspondence: Anne Barton, to anti-tumor necrosis factor but can also bind lymphotoxin-α (LTA). Arthritis Research Campaign Epidemiology Unit, drugs in rheumatoid arthritis Adalimumab and infliximab are monoclonal University of Manchester, M13 9PT, UK antibodies directed against membrane-bound E-mail: [email protected] Rachael Tan and Anne Barton and soluble TNFα.1 Whilst DMARDs may slow radiological progression, studies using anti- Key words: genetics, rheumatoid arthritis, ARC Epidemiology Unit, Stopford response, etanercept, infliximab, adalimumab. Building, The University of Manchester, TNF drugs have shown their superiority in suppressing structural change.2 However, anti- Manchester, UK Conflict of interest: the authors reported no potential TNFs are not without their drawbacks. As well conflict of interests. as being expensive, studies have shown links with malignancy and serious infections.3 Received for publication: 24 March 2009. Furthermore, for unknown reasons, up to 30% Revision received: 18 May 2009. Abstract of patients fail to respond to treatment with Accepted for publication: 18 May 2009. anti-TNFs.4 In many countries, these concerns This work is licensed under a Creative Commons limit the wholesale use of these drugs. In the The introduction of anti-tumor necrosis fac- Attribution 3.0 License (by-nc 3.0). tor (anti-TNF) agents has dramatically UK, for example, the National Institute for improved the outlook for many patients with Health and Clinical Excellence (NICE) advises ©Copyright R. Tan and A. -
Detection Rate. FC: Fold Change. GO: Gene Ontology. AUC: Area Under
Figure S1. Flow chart of the study. DR: detection rate. FC: fold change. GO: Gene Ontology. AUC: area under curve. KEGG: Kyoto Encyclopedia of Genes and Genomes. GEO: Gene Expression Omnibus. Figure S2. Independent validation of miRNAs and the classifier. A, ΔCt of 6 selected miRNAs in the independent cohort. *, P < 0.05. **, P < 0.01. ***, P < 0.001. B, Receiver operating curve of the classifier in the independent cohort. AUC: area under curve. Figure S3. Venn of predicted target genes from 3 platforms. Figure S4. GO enrichment analysis. GO: Gene Ontology. Table S1. miRNA expression profile in screening stage. Table S2. miRNA expression profile in validation stage. Table S3. Efficacy of the classifier. Table S4. miRNA expression profile in independent validation stage. Table S5. Predicted target genes. Table S6a. KEGG enrichment analysis. KEGG: Kyoto Encyclopedia of Genes and Genomes. Table S6b. GO_BP enrichment analysis. GO: Gene Ontology. BP: Biological Process. Table S6c. GO_CC enrichment analysis. CC: Cellular Component. Table S6d. GO_MF enrichment analysis. MF: Molecular Function. Table S7. GEO expression array datasets involved in this study. GEO: Gene Expression Omnibus. Table S8a. Predicted target genes covered by the selected GEO datasets. GEO: Gene Expression Omnibus. 1 Table S8b. Expression profiles of predicted target genes of hsa-miR-26b-5p in GEO datasets. Table S8c. Expression profiles of predicted target genes of hsa-miR-146b-5p in GEO datasets. Table S8d. Expression profiles of predicted target genes of hsa-miR-191-5p in GEO datasets. Table S8e. Expression profiles of predicted target genes of hsa-miR-484 in GEO datasets. -
The Milk-Derived Fusion Peptide, ACFP, Suppresses The
Zhou et al. BMC Cancer (2016) 16:246 DOI 10.1186/s12885-016-2281-6 RESEARCH ARTICLE Open Access The milk-derived fusion peptide, ACFP, suppresses the growth of primary human ovarian cancer cells by regulating apoptotic gene expression and signaling pathways Juan Zhou1†, Mengjing Zhao1†, Yigui Tang1, Jing Wang2, Cai Wei3, Fang Gu1, Ting Lei3, Zhiwu Chen4 and Yide Qin1* Abstract Background: ACFP is an anti-cancer fusion peptide derived from bovine milk protein. This study was to investigate the anti-cancer function and underlying mechanisms of ACFP in ovarian cancer. Methods: Fresh ovarian tumor tissues were collected from 53 patients who underwent initial debulking surgery, and primary cancer cells were cultured. Normal ovarian surface epithelium cells (NOSECs), isolated from 7 patients who underwent surgery for uterine fibromas, were used as normal control tissue. Anti-viabilities of ACFP were assessed by WST-1 (water-soluble tetrazolium 1), and apoptosis was measured using a flow cytometry-based assay. Gene expression profiles of ovarian cancer cells treated with ACFP were generated by cDNA microarray, and the expression of apoptotic-specific genes, such as bcl-xl, bax, akt, caspase-3, CDC25C and cyclinB1, was assessed by real time PCR and western blot analysis. Results: Treatment with ACFP inhibited the viability and promoted apoptosis of primary ovarian cancer cells but exhibited little or no cytotoxicity toward normal primary ovarian cells. Mechanistically, the anti-cancer effects of ACFP in ovarian cells were shown to occur partially via changes in gene expression and related signal pathways. Gene expression profiling highlighted that ACFP treatment in ovarian cancer cells repressed the expression of bcl-xl, akt, CDC25C and cyclinB1andpromotedtheexpressionofbax and caspase-3 in a time- and dose-dependent manner. -
Palmitic Acid Effects on Hypothalamic Neurons
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.03.454666; this version posted August 4, 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. Running title: Oleic and palmitic acid effects on hypothalamic neurons Concentration-dependent change in hypothalamic neuronal transcriptome by the dietary fatty acids: oleic and palmitic acids Fabiola Pacheco Valencia1^, Amanda F. Marino1^, Christos Noutsos1, Kinning Poon1* 1Department of Biological Sciences, SUNY Old Westbury, Old Westbury NY, United States ^Authors contributed equally to this work *Corresponding Author: Kinning Poon 223 Store Hill Rd Old Westbury, NY 11568, USA 1-516-876-2735 [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2021.08.03.454666; this version posted August 4, 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 Prenatal high-fat diet exposure increases hypothalamic neurogenesis events in embryos and programs offspring to be obesity-prone. The molecular mechanism involved in these dietary effects of neurogenesis are unknown. This study investigated the effects of oleic and palmitic acids, which are abundant in a high-fat diet, on the hypothalamic neuronal transcriptome and how these changes impact neurogenesis events. The results show differential effects of low and high concentrations of oleic or palmitic acid treatment on differential gene transcription. -
Flotillin 1 Antibody (R31142)
Flotillin 1 Antibody (R31142) Catalog No. Formulation Size R31142 0.5mg/ml if reconstituted with 0.2ml sterile DI water 100 ug Bulk quote request Availability 1-3 business days Species Reactivity Human, Mouse, Rat Format Antigen affinity purified Clonality Polyclonal (rabbit origin) Isotype Rabbit IgG Purity Antigen affinity Buffer Lyophilized from 1X PBS with 2.5% BSA and 0.025% sodium azide/thimerosal UniProt O75955 Applications Western blot : 0.5-1ug/ml Limitations This Flotillin 1 antibody is available for research use only. Western blot testing of Flotillin 1 antbody; Lane 1: rat lung; 2: (r) brain; 3: (r) ovary; 4: human SMMC-7721; 5: (h) MFC-7 cell lysate. Expected/observed molecular weight ~49kDa. Description Flotillin 1 is a protein that in humans is encoded by the FLOT1 gene. The International Radiation Hybrid Mapping Consortium mapped the gene to chromosome 6. Bickel et al.(1997) found that mouse Flot1 behaves as a resident integral membrane protein of caveolae. It consistently copurified with Flot2 and with caveolin-1 in the purification of caveolin-rich membranes. Hazarika et al.(1999) found that stable transfection of Flot1, which they called ESA/flotillin-2, in COS-1 cells induced filopodia formation and changed the epithelial morphology to that of neuronal cells. Santamaria et al.(2005) found that prostate tumor overexpressed gene-1 interacted with Flotillin1 in detergent-insoluble membrane fractions. Flotillin1 colocalized with PTOV1 at the plasma membrane and in the nucleus, and it entered the nucleus concomitant with PTOV1 shortly before initiation of S phase. Application Notes The stated application concentrations are suggested starting amounts. -
Transcription Mediated Insulation and Interference Direct Gene Cluster
1 Transcription mediated insulation and interference direct gene 2 cluster expression switches 3 Tania Nguyen1, Harry Fischl1#, Françoise S. Howe1#, Ronja Woloszczuk1#, Ana Serra 4 Barros1*, Zhenyu Xu2*, David Brown1, Struan C. Murray1, Simon Haenni1, James M. 5 Halstead1, Leigh O’Connor1, Gergana Shipkovenska1, Lars M. Steinmetz2 and Jane Mellor1§ 6 1Department of Biochemistry, South Parks Road, Oxford, OX1 3QU, UK 7 2European Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, 8 Germany 9 10 . 11 # , * Equal contribution 12 § Corresponding author: [email protected] 13 14 Competing interests statement: JM is an advisor to Oxford Biodynamics Ltd and Sibelius Ltd and sits 15 on the board of Chronos Therapeutics Ltd. OBD supported this work but have no commercial 16 interest in the study design, data collection and interpretation, or the decision to submit the work 17 for publication. 1 18 Abstract 19 In yeast, many tandemly arranged genes show peak expression in different phases of the 20 metabolic cycle (YMC) or in different carbon sources, indicative of regulation by a bi- 21 modal switch, but it is not clear how these switches are controlled. Using native 22 elongating transcript analysis (NET-seq), we show that transcription itself is a component 23 of bi-modal switches, facilitating reciprocal expression in gene clusters. HMS2, encoding a 24 growth-regulated transcription factor, switches between sense- or antisense-dominant 25 states that also coordinate up- and down-regulation of transcription at neighbouring 26 genes. Engineering HMS2 reveals alternative mono-, di- or tri-cistronic and antisense 27 transcription units (TUs), using different promoter and terminator combinations, that 28 underlie state-switching. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
Effects of Chronic Stress on Prefrontal Cortex Transcriptome in Mice Displaying Different Genetic Backgrounds
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Springer - Publisher Connector J Mol Neurosci (2013) 50:33–57 DOI 10.1007/s12031-012-9850-1 Effects of Chronic Stress on Prefrontal Cortex Transcriptome in Mice Displaying Different Genetic Backgrounds Pawel Lisowski & Marek Wieczorek & Joanna Goscik & Grzegorz R. Juszczak & Adrian M. Stankiewicz & Lech Zwierzchowski & Artur H. Swiergiel Received: 14 May 2012 /Accepted: 25 June 2012 /Published online: 27 July 2012 # The Author(s) 2012. This article is published with open access at Springerlink.com Abstract There is increasing evidence that depression signaling pathway (Clic6, Drd1a,andPpp1r1b). LA derives from the impact of environmental pressure on transcriptome affected by CMS was associated with genetically susceptible individuals. We analyzed the genes involved in behavioral response to stimulus effects of chronic mild stress (CMS) on prefrontal cor- (Fcer1g, Rasd2, S100a8, S100a9, Crhr1, Grm5,and tex transcriptome of two strains of mice bred for high Prkcc), immune effector processes (Fcer1g, Mpo,and (HA)and low (LA) swim stress-induced analgesia that Igh-VJ558), diacylglycerol binding (Rasgrp1, Dgke, differ in basal transcriptomic profiles and depression- Dgkg,andPrkcc), and long-term depression (Crhr1, like behaviors. We found that CMS affected 96 and 92 Grm5,andPrkcc) and/or coding elements of dendrites genes in HA and LA mice, respectively. Among genes (Crmp1, Cntnap4,andPrkcc) and myelin proteins with the same expression pattern in both strains after (Gpm6a, Mal,andMog). The results indicate significant CMS, we observed robust upregulation of Ttr gene contribution of genetic background to differences in coding transthyretin involved in amyloidosis, seizures, stress response gene expression in the mouse prefrontal stroke-like episodes, or dementia.