Mapping of Leptin and Its Syntenic Genes to Chicken Chromosome
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High Throughput Circrna Sequencing Analysis Reveals Novel Insights Into
Xiong et al. Cell Death and Disease (2019) 10:658 https://doi.org/10.1038/s41419-019-1890-9 Cell Death & Disease ARTICLE Open Access High throughput circRNA sequencing analysis reveals novel insights into the mechanism of nitidine chloride against hepatocellular carcinoma Dan-dan Xiong1, Zhen-bo Feng1, Ze-feng Lai2,YueQin2, Li-min Liu3,Hao-xuanFu2, Rong-quan He4,Hua-yuWu5, Yi-wu Dang1, Gang Chen 1 and Dian-zhong Luo1 Abstract Nitidine chloride (NC) has been demonstrated to have an anticancer effect in hepatocellular carcinoma (HCC). However, the mechanism of action of NC against HCC remains largely unclear. In this study, three pairs of NC-treated and NC-untreated HCC xenograft tumour tissues were collected for circRNA sequencing analysis. In total, 297 circRNAs were differently expressed between the two groups, with 188 upregulated and 109 downregulated, among which hsa_circ_0088364 and hsa_circ_0090049 were validated by real-time quantitative polymerase chain reaction. The in vitro experiments showed that the two circRNAs inhibited the malignant biological behaviour of HCC, suggesting that they may play important roles in the development of HCC. To elucidate whether the two circRNAs function as “miRNA sponges” in HCC, we identified circRNA-miRNA and miRNA-mRNA interactions by using the CircInteractome and miRwalk, respectively. Subsequently, 857 miRNA-associated differently expressed genes in HCC were selected for weighted gene co-expression network analysis. Module Eigengene turquoise with 423 genes was found to be significantly related to the survival time, pathology grade and TNM stage of HCC patients. Gene functional enrichment 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; analysis showed that the 423 genes mainly functioned in DNA replication- and cell cycle-related biological processes and signalling cascades. -
Sox2-RNA Mechanisms of Chromosome Topological Control in Developing Forebrain
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.22.307215; this version posted September 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Title: Sox2-RNA mechanisms of chromosome topological control in developing forebrain Ivelisse Cajigas1, Abhijit Chakraborty2, Madison Lynam1, Kelsey R Swyter1, Monique Bastidas1, Linden Collens1, Hao Luo1, Ferhat Ay2,3, Jhumku D. Kohtz1,4 1Department of Pediatrics, Northwestern University, Feinberg School of Medicine, Department of Human Molecular Genetics, Stanley Manne Children's Research Institute 2430 N Halsted, Chicago, IL 60614 2Centers for Autoimmunity and Cancer Immunotherapy, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA 3School of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA 4To whom correspondence should be addressed: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.22.307215; this version posted September 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Summary Precise regulation of gene expression networks requires the selective targeting of DNA enhancers. The Evf2 long non-coding RNA regulates Dlx5/6 ultraconserved enhancer(UCE) interactions with long-range target genes, controlling gene expression over a 27Mb region in mouse developing forebrain. Here, we show that Evf2 long range gene repression occurs through multi-step mechanisms involving the transcription factor Sox2, a component of the Evf2 ribonucleoprotein complex (RNP). -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
Whole-Genome Rnai Screen Highlights Components of the Endoplasmic Reticulum/Golgi As a Source of Resistance to Immunotoxin-Media
Whole-genome RNAi screen highlights components of PNAS PLUS the endoplasmic reticulum/Golgi as a source of resistance to immunotoxin-mediated cytotoxicity Matteo Pasettoa,1,2, Antonella Antignania,1, Pinar Ormanoglub, Eugen Buehlerb, Rajarshi Guhab, Ira Pastana,3, Scott E. Martinb, and David J. FitzGeralda,3 aLaboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-4264; and bDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850 Contributed by Ira Pastan, February 2, 2015 (sent for review October 6, 2014; reviewed by Arthur Frankel and Wayne I. Lencer) Immunotoxins (antibody–toxin fusion proteins) target surface EF2 no longer functions at the elongation step of protein trans- antigens on cancer cells and kill these cells via toxin-mediated in- lation. Death results from a combination of events: the loss of hibition of protein synthesis. To identify genes controlling this short-lived survival proteins (e.g., Mcl1), triggering apoptosis, process, an RNAi whole-genome screen (∼22,000 genes at three and stress responses that cannot be executed because protein siRNAs per gene) was conducted via monitoring the cytotoxicity of translation is shut down (21). Regarding the constituents of the the mesothelin-directed immunotoxin SS1P. SS1P, a Pseudomonas pathway responsible for transporting the immunotoxin from the exotoxin-based immunotoxin, was chosen because it is now in surface to the cytosol, there are only a handful of experimentally clinical trials and has produced objective tumor regressions in established components. These proteins include the surface patients. High and low concentrations of SS1P were chosen to target itself, the protease furin, and KDELR2 (discussed below). -
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 -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Variation in Protein Coding Genes Identifies Information
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
Functional Annotation of Novel Lineage-Specific Genes Using Co-Expression and Promoter Analysis Charu G Kumar1, Robin E Everts1,3, Juan J Loor1, Harris a Lewin1,2*
Kumar et al. BMC Genomics 2010, 11:161 http://www.biomedcentral.com/1471-2164/11/161 RESEARCH ARTICLE Open Access Functional annotation of novel lineage-specific genes using co-expression and promoter analysis Charu G Kumar1, Robin E Everts1,3, Juan J Loor1, Harris A Lewin1,2* Abstract Background: The diversity of placental architectures within and among mammalian orders is believed to be the result of adaptive evolution. Although, the genetic basis for these differences is unknown, some may arise from rapidly diverging and lineage-specific genes. Previously, we identified 91 novel lineage-specific transcripts (LSTs) from a cow term-placenta cDNA library, which are excellent candidates for adaptive placental functions acquired by the ruminant lineage. The aim of the present study was to infer functions of previously uncharacterized lineage- specific genes (LSGs) using co-expression, promoter, pathway and network analysis. Results: Clusters of co-expressed genes preferentially expressed in liver, placenta and thymus were found using 49 previously uncharacterized LSTs as seeds. Over-represented composite transcription factor binding sites (TFBS) in promoters of clustered LSGs and known genes were then identified computationally. Functions were inferred for nine previously uncharacterized LSGs using co-expression analysis and pathway analysis tools. Our results predict that these LSGs may function in cell signaling, glycerophospholipid/fatty acid metabolism, protein trafficking, regulatory processes in the nucleus, and processes that initiate parturition and immune system development. Conclusions: The placenta is a rich source of lineage-specific genes that function in the adaptive evolution of placental architecture and functions. We have shown that co-expression, promoter, and gene network analyses are useful methods to infer functions of LSGs with heretofore unknown functions. -
Language Impairment Resulting from a De Novo Deletion of 7Q32.1-Q33: a Case
bioRxiv preprint doi: https://doi.org/10.1101/047241; this version posted April 6, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Language impairment resulting from a de novo deletion of 7q32.1-q33: a case report Mª Salud Jiménez-Romero, Montserrat Barcos-Martínez, Isabel Espejo-Portero, Antonio Benítez-Burraco Corresponding author: Antonio Benítez-Burraco, PhD. Department of Spanish Philology and its Didactics, University of Huelva, Huelva, Spain e-mail: [email protected] Affiliations for the other authors: Mª Salud Jiménez-Romero: Department of Psychology, University of Córdoba, Córdoba, Spain & Maimónides Institute of Biomedical Research, Córdoba, Spain Montserrat Barcos-Martínez: Laboratory of Molecular Genetics, University Hospital “Reina Sofía”, Córdoba, Spain &Maimónides Institute of Biomedical Research, Córdoba, Spain Isabel Espejo-Portero: Laboratory of Molecular Genetics, University Hospital “Reina Sofía”, Córdoba, Spain & Maimónides Institute of Biomedical Research, Córdoba, Spain bioRxiv preprint doi: https://doi.org/10.1101/047241; this version posted April 6, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 2 ABSTRACT Chromosome 7 is a hot spot for cognitive disorders involving language deficits. We report on a girl who presents with a cognitive and speech delay, motor problems, hearing loss, and behavioral disturbances, and a de novo deletion within 7q32.1-q33 (chromosome position: chr7:127109685-132492196, hg 18). Several genes involved in brain development and function are located within the deleted region. -
Proteomic Analysis of Mtor Inhibition-Mediated Phosphorylation
Protein Cell DOI 10.1007/s13238-016-0279-0 Protein & Cell LETTER Proteomic analysis of mTOR inhibition- mediated phosphorylation changes in ribosomal proteins and eukaryotic translation initiation factors Dear Editor, analysis based on the SILAC (stable isotope labeling by amino acids in cell culture) method was carried out to analyze affinity The mammalian target of rapamycin (mTOR), as a critical enriched phosphoproteins from the untreated and rapamycin- Cell energy sensor and cell-growth regulator, controls protein treated 293T cells. The experimental workflow was displayed & 12 14 synthesis, autophagy and many important cellular processes in Fig. 1A. Briefly, cells grown in light medium ( C6 N2-Lysine 12 0 0 through forming functional distinct complexes, mTORC1 and and C6-Arginine, K R ) were treated with 200 nmol/L rapa- 13 15 mTORC2. mTORC1 that is sensitive to rapamycin, regulates mycin for 2 h, while cells grown in heavy medium ( C6 N2- 13 8 6 cell growth and protein synthesis, while mTORC2 that is Lysine and C6-Arginine, K R ) were untreated. Sucrose insensitive to rapamycin, regulates cellular metabolism and cushion centrifugation was used to isolate ribosomes. Pro- Protein the cytoskeletal organization (Gingras et al., 2001; Hay and teins extracted from the whole cell lysate or the isolated ribo- Sonenberg, 2004). Translation initiation is the rate-limiting some fraction of the untreated and rapamycin-treated cells step in protein synthesis, which proceeds through a multi- were mixed and trypsin digested. Then phosphopeptides step process that can be divided into three major steps. First, were enriched with TiO2 beads and analyzed by nano-LC-MS/ eukaryotic translation initiation factor 2 (eIF2) binds with GTP MS. -
Interplay of RNA-Binding Proteins and Micrornas in Neurodegenerative Diseases
International Journal of Molecular Sciences Review Interplay of RNA-Binding Proteins and microRNAs in Neurodegenerative Diseases Chisato Kinoshita 1,* , Noriko Kubota 1,2 and Koji Aoyama 1,* 1 Department of Pharmacology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi, Tokyo 173-8605, Japan; [email protected] 2 Teikyo University Support Center for Women Physicians and Researchers, 2-11-1 Kaga, Itabashi, Tokyo 173-8605, Japan * Correspondence: [email protected] (C.K.); [email protected] (K.A.); Tel.: +81-3-3964-3794 (C.K.); +81-3-3964-3793 (K.A.) Abstract: The number of patients with neurodegenerative diseases (NDs) is increasing, along with the growing number of older adults. This escalation threatens to create a medical and social crisis. NDs include a large spectrum of heterogeneous and multifactorial pathologies, such as amyotrophic lateral sclerosis, frontotemporal dementia, Alzheimer’s disease, Parkinson’s disease, Huntington’s disease and multiple system atrophy, and the formation of inclusion bodies resulting from protein misfolding and aggregation is a hallmark of these disorders. The proteinaceous components of the pathological inclusions include several RNA-binding proteins (RBPs), which play important roles in splicing, stability, transcription and translation. In addition, RBPs were shown to play a critical role in regulating miRNA biogenesis and metabolism. The dysfunction of both RBPs and miRNAs is Citation: Kinoshita, C.; Kubota, N.; often observed in several NDs. Thus, the data about the interplay among RBPs and miRNAs and Aoyama, K. Interplay of RNA-Binding Proteins and their cooperation in brain functions would be important to know for better understanding NDs and microRNAs in Neurodegenerative the development of effective therapeutics.