The Long Non-Coding RNA Meg3 Is Dispensable for Hematopoietic Stem Cells
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Biochemical Mechanisms of Thyroid Hormone Deiodination
THYROID Volume 15, Number 8, 2005 © Mary Ann Liebert, Inc. Biochemical Mechanisms of Thyroid Hormone Deiodination George G.J.M. Kuiper, Monique H.A. Kester, Robin P. Peeters, and Theo J. Visser Deiodination is the foremost pathway of thyroid hormone metabolism not only in quantitative terms but also because thyroxine (T4) is activated by outer ring deiodination (ORD) to 3,3’,5-triiodothyronine (T3), whereas both T4 and T3 are inactivated by inner ring deiodination (IRD) to 3,3’,5-triiodothyronine and 3,3’- diiodothyronine, respectively. These reactions are catalyzed by three iodothyronine deiodinases, D1-3. Although they are homologous selenoproteins, they differ in important respects such as catalysis of ORD and/or IRD, deiodination of sulfated iodothyronines, inhibition by the thyrostatic drug propylthiouracil, and regulation during fetal and neonatal development, by thyroid state, and during illness. In this review we will briefly discuss recent developments in these different areas. These have resulted in the emerging view that the biological activity of thyroid hormone is regulated locally by tissue-specific regulation of the different deiodinases. HYROID HORMONE is essential for growth, development, thyrostatic drug 6-propyl-2-thiouracil (PTU). D1 activity is Tand regulation of energy metabolism (1–3). Amphibian positively regulated by T3, reflecting regulation of D1 ex- metamorphosis is an important example of thyroid hormone pression by T3 at the pretranslational level. actions on development (4). Equally well known is the crit- In humans, D2 activity is found in brain, anterior pitu- ical role of thyroid hormone in development and function itary, placenta, thyroid and skeletal muscle, and D2 mRNA of the human central nervous system (5,6). -
The Imprinted DLK1-MEG3 Gene Region on Chromosome 14Q32.2 Alters Susceptibility to Type 1 Diabetes
LETTERS The imprinted DLK1-MEG3 gene region on chromosome 14q32.2 alters susceptibility to type 1 diabetes Chris Wallace, Deborah J Smyth, Meeta Maisuria-Armer, Neil M Walker, John A Todd & David G Clayton Genome-wide association (GWA) studies to map common score tests were based on the Cochran-Armitage test, with a Mantel disease susceptibility loci have been hugely successful, with extension to allow combination over different strata (UK region in over 300 reproducibly associated loci reported to date1. the case of the WTCCC and T1DGC samples, and estimated ancestry However, these studies have not yet provided convincing score derived from principal components in the case of the GoKinD- evidence for any susceptibility locus subject to parent-of-origin NIMH samples3). For imputed SNPs, we calculated the score statistics effects. Using imputation to extend existing GWA datasets2–4, using the expected value of the imputed SNP, given observed SNPs, we have obtained robust evidence at rs941576 for paternally with the expectation calculated under the null hypothesis. inherited risk of type 1 diabetes (T1D; ratio of allelic effects for Overall, there was some overdispersion of test statistics (λ = 1.14 and paternal versus maternal transmissions = 0.75; 95% confidence 1.09 for 1 and 2 degrees of freedom, respectively). This was consistent interval (CI) = 0.71–0.79). This marker is in the imprinted with the large sample size (almost 17,000 samples) and the overdisper- region of chromosome 14q32.2, which contains the functional sion observed in earlier analysis of these data without HapMap imputa- candidate gene DLK1. Our meta-analysis also provided support tion4. -
REVIEW Iodothyronine Deiodinase Structure and Function
189 REVIEW Iodothyronine deiodinase structure and function: from ascidians to humans Veerle M Darras and Stijn L J Van Herck Animal Physiology and Neurobiology Section, Department of Biology, Laboratory of Comparative Endocrinology, KU Leuven, Naamsestraat 61, PO Box 2464, B-3000 Leuven, Belgium (Correspondence should be addressed to V M Darras; Email: [email protected]) Abstract Iodothyronine deiodinases are important mediators of thyroid of each of them, however, varies amongst species, develop- hormone (TH) action. They are present in tissues throughout mental stages and tissues. This is especially true for 0 the body where they catalyse 3,5,3 -triiodothyronine (T3) amphibians, where the impact of D1 may be minimal. D2 production and degradation via, respectively, outer and inner and D3 expression and activity respond to thyroid status in ring deiodination. Three different types of iodothyronine an opposite and conserved way, while the response of D1 is deiodinases (D1, D2 and D3) have been identified in variable, especially in fish. Recently, a number of deiodinases vertebrates from fish to mammals. They share several have been cloned from lower chordates. Both urochordates common characteristics, including a selenocysteine residue and cephalochordates possess selenodeiodinases, although in their catalytic centre, but show also some type-specific they cannot be classified in one of the three vertebrate types. differences. These specific characteristics seem very well In addition, the cephalochordate amphioxus also expresses conserved for D2 and D3, while D1 shows more evolutionary a non-selenodeiodinase. Finally, deiodinase-like sequences diversity related to its Km, 6-n-propyl-2-thiouracil sensitivity have been identified in the genome of non-deuterostome and dependence on dithiothreitol as a cofactor in vitro. -
Imprinted Gene Expression at the Dlk1-Dio3 Cluster Is Controlled by Both Maternal and Paternal
bioRxiv preprint doi: https://doi.org/10.1101/536102; this version posted January 31, 2019. 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. Imprinted gene expression at the Dlk1-Dio3 cluster is controlled by both maternal and paternal IG-DMRs in a tissue-specific fashion. Katherine A. Alexander 2 and María J. García-García 1* 1 Department of Molecular Biology and Genetics, Cornell University. Ithaca. NY. 14853. USA 2 Current address: Department of Cellular and Developmental Biology, University of Pennsylvania. Philadelphia PA, 19103, USA * corresponding author: [email protected] Short title: Tissue-specific imprinting control Keywords: imprinting, TRIM28, IG-DMR, Dlk1, Gtl2, PRO-seq 1 bioRxiv preprint doi: https://doi.org/10.1101/536102; this version posted January 31, 2019. 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. ABSTRACT Imprinting at the Dlk1-Dio3 cluster is controlled by the IG-DMR, an imprinting control region differentially methylated between maternal and paternal chromosomes. The maternal IG-DMR is essential for imprinting control, functioning as a cis enhancer element. Meanwhile, DNA methylation at the paternal IG-DMR is thought to prevent enhancer activity. To explore whether suppression of enhancer activity at the methylated IG-DMR requires the transcriptional repressor TRIM28, we analyzed Trim28chatwo embryos and performed epistatic experiments with IG-DMR deletion mutants. We found that while TRIM28 regulates the enhancer properties of the paternal IG-DMR, it also controls imprinting through other mechanisms. -
Decreased Expression of the Thyroid Hormone-Inactivating Enzyme Type
www.nature.com/scientificreports OPEN Decreased expression of the thyroid hormone‑inactivating enzyme type 3 deiodinase is associated with lower survival rates in breast cancer Iuri Martin Goemann1, Vicente Rodrigues Marczyk1,5, Mariana Recamonde‑Mendoza2,3, Simone Magagnin Wajner1,5, Marcia Silveira Graudenz4,5 & Ana Luiza Maia 1,5* Thyroid hormones (THs) are critical regulators of cellular processes, while changes in their levels impact all the hallmarks of cancer. Disturbed expression of type 3 deiodinase (DIO3), the main TH‑inactivating enzyme, occurs in several human neoplasms and has been associated with adverse outcomes. Here, we investigated the patterns of DIO3 expression and its prognostic signifcance in breast cancer. DIO3 expression was evaluated by immunohistochemistry in a primary cohort of patients with breast cancer and validated in a second cohort using RNA sequencing data from the TCGA database. DNA methylation data were obtained from the same database. DIO3 expression was present in normal and tumoral breast tissue. Low levels of DIO3 expression were associated with increased mortality in the primary cohort. Accordingly, low DIO3 mRNA levels were associated with an increased risk of death in a multivariate model in the validation cohort. DNA methylation analysis revealed that the DIO3 gene promoter is hypermethylated in tumors when compared to normal tissue. In conclusion, DIO3 is expressed in normal and tumoral breast tissue, while decreased expression relates to poor overall survival in breast cancer patients. Finally, loss of DIO3 expression is associated with hypermethylation of the gene promoter and might have therapeutic implications. Breast cancer is the most common cancer in women worldwide, accounting for more than two million new cancer cases and 14.9% of all cancer-related deaths in women in 2018 1. -
DLK (DLK1) (NM 003836) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC202923 DLK (DLK1) (NM_003836) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: DLK (DLK1) (NM_003836) Human Tagged ORF Clone Tag: Myc-DDK Symbol: DLK1 Synonyms: Delta1; DLK; DLK-1; FA1; pG2; Pref-1; PREF1; ZOG Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RC202923 ORF sequence Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGACCGCGACCGAAGCCCTCCTGCGCGTCCTCTTGCTCCTGCTGGCTTTCGGCCACAGCACCTATGGGG CTGAATGCTTCCCGGCCTGCAACCCCCAAAATGGATTCTGCGAGGATGACAATGTTTGCAGGTGCCAGCC TGGCTGGCAGGGTCCCCTTTGTGACCAGTGCGTGACCTCTCCCGGCTGCCTTCACGGACTCTGTGGAGAA CCCGGGCAGTGCATTTGCACCGACGGCTGGGACGGGGAGCTCTGTGATAGAGATGTTCGGGCCTGCTCCT CGGCCCCCTGTGCCAACAACGGGACCTGCGTGAGCCTGGACGATGGCCTCTATGAATGCTCCTGTGCCCC CGGGTACTCGGGAAAGGACTGCCAGAAAAAGGACGGGCCCTGTGTGATCAACGGCTCCCCCTGCCAGCAC GGAGGCACCTGCGTGGATGATGAGGGCCGGGCCTCCCATGCCTCCTGCCTGTGCCCCCCTGGCTTCTCAG GCAATTTCTGCGAGATCGTGGCCAACAGCTGCACCCCCAACCCATGCGAGAACGACGGCGTCTGCACTGA CATCGGGGGCGACTTCCGCTGCCGGTGCCCAGCCGGCTTCATCGACAAGACCTGCAGCCGCCCGGTGACC AACTGCGCCAGCAGCCCGTGCCAGAACGGGGGCACCTGCCTGCAGCACACCCAGGTGAGCTACGAGTGTC TGTGCAAGCCCGAGTTCACAGGTCTCACCTGTGTCAAGAAGCGCGCGCTGAGCCCCCAGCAGGTCACCCG TCTGCCCAACGGCTATGGGCTGGCCTACCGCCTGACCCCTGGGGTGCACGAGCTGCCGGTGCAGCAGCCG -
The Lncrna Toolkit: Databases and in Silico Tools for Lncrna Analysis
non-coding RNA Review The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis Holly R. Pinkney † , Brandon M. Wright † and Sarah D. Diermeier * Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand; [email protected] (H.R.P.); [email protected] (B.M.W.) * Correspondence: [email protected] † These authors contributed equally to this work. Received: 29 November 2020; Accepted: 15 December 2020; Published: 16 December 2020 Abstract: Long non-coding RNAs (lncRNAs) are a rapidly expanding field of research, with many new transcripts identified each year. However, only a small subset of lncRNAs has been characterized functionally thus far. To aid investigating the mechanisms of action by which new lncRNAs act, bioinformatic tools and databases are invaluable. Here, we review a selection of computational tools and databases for the in silico analysis of lncRNAs, including tissue-specific expression, protein coding potential, subcellular localization, structural conformation, and interaction partners. The assembled lncRNA toolkit is aimed primarily at experimental researchers as a useful starting point to guide wet-lab experiments, mainly containing multi-functional, user-friendly interfaces. With more and more new lncRNA analysis tools available, it will be essential to provide continuous updates and maintain the availability of key software in the future. Keywords: non-coding RNAs; long non-coding RNAs; databases; computational analysis; bioinformatic prediction software; RNA interactions; coding potential; RNA structure; RNA function 1. Introduction For decades, the human genome was thought to be a desert of ‘junk DNA’ with sporadic oases of transcriptionally active genes, most of them coding for proteins. -
The Dlk1 and Gtl2 Genes Are Linked and Reciprocally Imprinted
Downloaded from genesdev.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press RESEARCH COMMUNICATION entially methylated cis-acting imprinting control ele- The Dlk1 and Gtl2 genes are ment (Thorvaldson et al. 1998). Third, a majority of im- linked and reciprocally printed genes for which a function has been identified imprinted code for proteins involved in the control of embryonic growth (Tilghman 1999). Jennifer V. Schmidt,1,2 Paul G. Matteson,2 Given the role of imprinted genes in fetal growth it is Beverly K. Jones, Xiao-Juan Guan, not surprising that they are often expressed in the pla- and Shirley M. Tilghman3 centa, the primary tissue regulating nutrient transfer be- tween mother and fetus. To identify new imprinted Howard Hughes Medical Institute and Department genes, we designed an allelic differential display strategy of Molecular Biology, Princeton University, Princeton, (Hagiwara et al. 1997) using placental mRNA derived New Jersey 08544 USA from two closely related species of North American deer mice, Peromyscus maniculatus (BW) and Peromyscus Genes subject to genomic imprinting exist in large chro- polionotus (PO). These mice display a high degree of mosomal domains, probably reflecting coordinate regu- polymorphism (Vrana et al. 1998), making them useful lation of the genes within a cluster. Such regulation has for screens that depend on allelic differences. been demonstrated for the H19, Igf2, and Ins2 genes that We report here the paternal-specific expression of the share a bifunctional imprinting control region. We have Delta-like (Dlk1) gene in both Peromyscus and the labo- identified the Dlk1 gene as a new imprinted gene that is ratory mouse genus Mus. -
Dysfunction of the WT1-MEG3 Signaling Promotes AML Leukemogenesis Via P53-Dependent and -Independent Pathways
OPEN Leukemia (2017) 31, 2543–2551 www.nature.com/leu ORIGINAL ARTICLE Dysfunction of the WT1-MEG3 signaling promotes AML leukemogenesis via p53-dependent and -independent pathways YLyu1,2,7, J Lou1,3,7, Y Yang1,2,7, J Feng1,7, Y Hao1, S Huang1, L Yin1,2,JXu1, D Huang1,2,BMa1,3, D Zou1, Y Wang1,2, Y Zhang1, B Zhang3, P Chen4,KYu5, EW-F Lam6, X Wang1, Q Liu1,JYan1,2 and B Jin1 Long non-coding RNAs (lncRNAs) play a pivotal role in tumorigenesis, exemplified by the recent finding that lncRNA maternally expressed gene 3 (MEG3) inhibits tumor growth in a p53-dependent manner. Acute myeloid leukemia (AML) is the most common malignant myeloid disorder in adults, and TP53 mutations or loss are frequently detected in patients with therapy-related AML or AML with complex karyotype. Here, we reveal that MEG3 is significantly downregulated in AML and suppresses leukemogenesis not only in a p53-dependent, but also a p53-independent manner. In addition, MEG3 is proven to be transcriptionally activated by Wilms’ tumor 1 (WT1), dysregulation of which by epigenetic silencing or mutations is causally involved in AML. Therefore MEG3 is identified as a novel target of the WT1 molecule. Ten–eleven translocation-2 (TET2) mutations frequently occur in AML and significantly promote leukemogenesis of this disorder. In our study, TET2, acting as a cofactor of WT1, increases MEG3 expression. Taken together, our work demonstrates that TET2 dysregulated WT1-MEG3 axis significantly promotes AML leukemogenesis, paving a new avenue for diagnosis and treatment of AML patients. -
The Interaction Between P53 and Mdm2 Is Independent of MEG3–P53 Association
bioRxiv preprint doi: https://doi.org/10.1101/857912; this version posted November 29, 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 4.0 International license. The interaction between p53 and Mdm2 is independent of MEG3–p53 association Nicholas C. Bauera, Anli Yangb,†,§, Xin Wangb,†,‖, Yunli Zhoub, Anne Klibanskib,‡,¶, Roy J. Sobermana,*,‡ a Division of Nephrology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129 b Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114 * To whom correspondence should be addressed. Tel: +1 617-455-2003; Email: [email protected] † These authors contributed equally to the work ‡ These authors contributed equally to the work § Current affiliation: Department of Histology and Embryology, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China ‖ Current affiliation: Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China ¶ Current affiliation: Partners Healthcare, Somerville, MA bioRxiv preprint doi: https://doi.org/10.1101/857912; this version posted November 29, 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 4.0 International license. Bauer et al. – Page 2 ABSTRACT The ability of the long noncoding RNA MEG3 to suppress cell proliferation led to its recognition as a tumor suppressor. -
New Mesh Headings for 2018 Single Column After Cutover
New MeSH Headings for 2018 Listed in alphabetical order with Heading, Scope Note, Annotation (AN), and Tree Locations 2-Hydroxypropyl-beta-cyclodextrin Derivative of beta-cyclodextrin that is used as an excipient for steroid drugs and as a lipid chelator. Tree locations: beta-Cyclodextrins D04.345.103.333.500 D09.301.915.400.375.333.500 D09.698.365.855.400.375.333.500 AAA Domain An approximately 250 amino acid domain common to AAA ATPases and AAA Proteins. It consists of a highly conserved N-terminal P-Loop ATPase subdomain with an alpha-beta-alpha conformation, and a less-conserved C- terminal subdomain with an all alpha conformation. The N-terminal subdomain includes Walker A and Walker B motifs which function in ATP binding and hydrolysis. Tree locations: Amino Acid Motifs G02.111.570.820.709.275.500.913 AAA Proteins A large, highly conserved and functionally diverse superfamily of NTPases and nucleotide-binding proteins that are characterized by a conserved 200 to 250 amino acid nucleotide-binding and catalytic domain, the AAA+ module. They assemble into hexameric ring complexes that function in the energy-dependent remodeling of macromolecules. Members include ATPASES ASSOCIATED WITH DIVERSE CELLULAR ACTIVITIES. Tree locations: Acid Anhydride Hydrolases D08.811.277.040.013 Carrier Proteins D12.776.157.025 Abuse-Deterrent Formulations Drug formulations or delivery systems intended to discourage the abuse of CONTROLLED SUBSTANCES. These may include physical barriers to prevent chewing or crushing the drug; chemical barriers that prevent extraction of psychoactive ingredients; agonist-antagonist combinations to reduce euphoria associated with abuse; aversion, where controlled substances are combined with others that will produce an unpleasant effect if the patient manipulates the dosage form or exceeds the recommended dose; delivery systems that are resistant to abuse such as implants; or combinations of these methods. -
Epigenetic Regulation of the Dlk1-Meg3 Imprinted Locus in Human Islets
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2016 Epigenetic Regulation of the Dlk1-Meg3 Imprinted Locus in Human Islets Vasumathi Kameswaran University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Cell Biology Commons, Genetics Commons, and the Molecular Biology Commons Recommended Citation Kameswaran, Vasumathi, "Epigenetic Regulation of the Dlk1-Meg3 Imprinted Locus in Human Islets" (2016). Publicly Accessible Penn Dissertations. 1798. https://repository.upenn.edu/edissertations/1798 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1798 For more information, please contact [email protected]. Epigenetic Regulation of the Dlk1-Meg3 Imprinted Locus in Human Islets Abstract Type 2 diabetes mellitus (T2DM) is a complex metabolic disease characterized by inadequate insulin secretion by the pancreatic β-cell in response to increased blood glucose levels. Despite compelling evidence that T2DM has a high rate of familial aggregation, known genetic risk variants account for less than 10% of the observed heritability. Consequently, post-transcriptional regulators of gene expression, including microRNAs and other noncoding RNAs, have been implicated in the etiology of T2DM, in part due to their ability to simultaneously regulate the expression of hundreds of targets. To determine if microRNAs are involved in the pathogenesis of human T2DM, I sequenced the small RNAs of human islets from diabetic and non-diabetic organ donors. From this screen, I identified the maternally-expressed genes in the imprinted DLK1-MEG3 locus as highly- and specifically-expressed in human β-cells, but repressed in T2DM islets. Repression of this noncoding transcript was strongly correlated with hyper-methylation of the promoter that drives transcription of all the maternal noncoding RNAs including the long noncoding RNA MEG3, several microRNAs and snoRNAs.