Detection of 15-Bp Deletion Mutation Within PLAG1 Gene and Its Effects on Growth Traits in Goats
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Multifactorial Erβ and NOTCH1 Control of Squamous Differentiation and Cancer
Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks, … , Karine Lefort, G. Paolo Dotto J Clin Invest. 2014;124(5):2260-2276. https://doi.org/10.1172/JCI72718. Research Article Oncology Downmodulation or loss-of-function mutations of the gene encoding NOTCH1 are associated with dysfunctional squamous cell differentiation and development of squamous cell carcinoma (SCC) in skin and internal organs. While NOTCH1 receptor activation has been well characterized, little is known about how NOTCH1 gene transcription is regulated. Using bioinformatics and functional screening approaches, we identified several regulators of the NOTCH1 gene in keratinocytes, with the transcription factors DLX5 and EGR3 and estrogen receptor β (ERβ) directly controlling its expression in differentiation. DLX5 and ERG3 are required for RNA polymerase II (PolII) recruitment to the NOTCH1 locus, while ERβ controls NOTCH1 transcription through RNA PolII pause release. Expression of several identified NOTCH1 regulators, including ERβ, is frequently compromised in skin, head and neck, and lung SCCs and SCC-derived cell lines. Furthermore, a keratinocyte ERβ–dependent program of gene expression is subverted in SCCs from various body sites, and there are consistent differences in mutation and gene-expression signatures of head and neck and lung SCCs in female versus male patients. Experimentally increased ERβ expression or treatment with ERβ agonists inhibited proliferation of SCC cells and promoted NOTCH1 expression and squamous differentiation both in vitro and in mouse xenotransplants. Our data identify a link between transcriptional control of NOTCH1 expression and the estrogen response in keratinocytes, with implications for differentiation therapy of squamous cancer. Find the latest version: https://jci.me/72718/pdf Research article Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks,1,2 Paola Ostano,3 Seung-Hee Jo,1,2 Jun Dai,1,2 Spiro Getsios,4 Piotr Dziunycz,5 Günther F.L. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Erk Direction of CD4 T Cell Subsets Chiung-Fang Chang, Warren N
Polar Opposites: Erk Direction of CD4 T Cell Subsets Chiung-Fang Chang, Warren N. D'Souza, Irene L. Ch'en, Gilles Pages, Jacques Pouyssegur and Stephen M. Hedrick This information is current as of September 25, 2021. J Immunol 2012; 189:721-731; Prepublished online 6 June 2012; doi: 10.4049/jimmunol.1103015 http://www.jimmunol.org/content/189/2/721 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2012/06/06/jimmunol.110301 Material 5.DC1 References This article cites 67 articles, 28 of which you can access for free at: http://www.jimmunol.org/ http://www.jimmunol.org/content/189/2/721.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 25, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Polar Opposites: Erk Direction of CD4 T Cell Subsets Chiung-Fang Chang,* Warren N. D’Souza,† Irene L. -
Atbf1 Is Required for the Pit1 Gene Early Activation
Atbf1 is required for the Pit1 gene early activation Yingchuan Qi*, Jeffrey A. Ranish†, Xiaoyan Zhu*, Anna Krones*, Jie Zhang*, Ruedi Aebersold†‡, David W. Rose§, Michael G. Rosenfeld*¶, and Catherine Carrie` re¶ʈ *Howard Hughes Medical Institute and Department of Medicine, School of Medicine, University of California at San Diego, La Jolla, CA 92093; †Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Ho¨nggerberg and Faculty of Sciences, University of Zu¨rich, CH-8093 Zu¨rich, Switzerland; §Department of Medicine, Division of Endocrinology and Metabolism, School of Medicine, University of California at San Diego, La Jolla, CA 92093; and ʈDepartment of Medicine, Dartmouth Medical School, Norris Cotton Cancer Center, 1 Medical Center Drive, Lebanon, NH 03756 Contributed by Michael G. Rosenfeld, December 24, 2007 (sent for review November 28, 2007) Enhancers have been functionally described for >35 years, but the Pit1-defective Snell (dw/dw) mutant mice, demonstrating that the molecular principles underlying the integration of regulatory in- elements required for Pit1 early activation were present in the same puts to alternate gene enhancers used during mammalian orga- genomic region (10). Further mapping showed that the regions nogenesis remain incompletely understood. Using a combination required for the Pit1 early activation were located between Ϫ10 kb of in vivo enhancer mapping and proteomics approaches, we have and Ϫ3.5 kb (10). Thus, Pit1 expression appears to be under the established that two distant and distinct early enhancers, each control of multiple enhancers, at least one for its activation and one requiring different transcription complexes, are required for full for its maintained expression. -
Whole-Exome Sequencing of Metastatic Cancer and Biomarkers of Treatment Response
Supplementary Online Content Beltran H, Eng K, Mosquera JM, et al. Whole-exome sequencing of metastatic cancer and biomarkers of treatment response. JAMA Oncol. Published online May 28, 2015. doi:10.1001/jamaoncol.2015.1313 eMethods eFigure 1. A schematic of the IPM Computational Pipeline eFigure 2. Tumor purity analysis eFigure 3. Tumor purity estimates from Pathology team versus computationally (CLONET) estimated tumor purities values for frozen tumor specimens (Spearman correlation 0.2765327, p- value = 0.03561) eFigure 4. Sequencing metrics Fresh/frozen vs. FFPE tissue eFigure 5. Somatic copy number alteration profiles by tumor type at cytogenetic map location resolution; for each cytogenetic map location the mean genes aberration frequency is reported eFigure 6. The 20 most frequently aberrant genes with respect to copy number gains/losses detected per tumor type eFigure 7. Top 50 genes with focal and large scale copy number gains (A) and losses (B) across the cohort eFigure 8. Summary of total number of copy number alterations across PM tumors eFigure 9. An example of tumor evolution looking at serial biopsies from PM222, a patient with metastatic bladder carcinoma eFigure 10. PM12 somatic mutations by coverage and allele frequency (A) and (B) mutation correlation between primary (y- axis) and brain metastasis (x-axis) eFigure 11. Point mutations across 5 metastatic sites of a 55 year old patient with metastatic prostate cancer at time of rapid autopsy eFigure 12. CT scans from patient PM137, a patient with recurrent platinum refractory metastatic urothelial carcinoma eFigure 13. Tracking tumor genomics between primary and metastatic samples from patient PM12 eFigure 14. -
Effects on Production Traits of Haplotypes Among Casein Genes in Norwegian Goats and Evidence for a Site of Preferential Recombination
Copyright Ó 2006 by the Genetics Society of America DOI: 10.1534/genetics.106.058966 Effects on Production Traits of Haplotypes Among Casein Genes in Norwegian Goats and Evidence for a Site of Preferential Recombination Ben Hayes,1,2 Nina Hagesæther,1 Tormod A˚ dnøy, Grunde Pellerud, Paul R. Berg and Sigbjørn Lien Centre for Integrative Genetics and Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, N-1432 A˚ s, Norway Manuscript received April 5, 2006 Accepted for publication July 2, 2006 ABSTRACT In goat milk the most abundant proteins are the casein genes, CSN1S1, CSN2, CSN1S2, and CSN3. Mutations have been identified within these genes affecting the level of gene expression, and effects on milk production traits have been reported. The aim of this study was to detect polymorphisms (SNPs) in the casein genes of Norwegian goats, resolve haplotype structures within the loci, and assess the effect of these haplotypes on milk production traits. Four hundred thirty-six Norwegian bucks were genotyped for 39 polymorphic sites across the four loci. The numbers of unique haplotypes present in each locus were 10, 6, 4, and 8 for CSN1S1, CSN2, CSN1S2, and CSN3, respectively. The effects of the CSN1S1 haplotypes on protein percentage and fat kilograms were significant, as were the effects of CSN3 haplotypes on fat percentage and protein percentage. A deletion in exon 12 of CSN1S1, unique to the Norwegian goat popu- lation, explained the effects of CSN1S1 haplotypes on fat kilograms, but not protein percentage. Inves- tigation of linkage disequilibrium between all possible pairs of SNPs revealed higher levels of linkage disequilbrium for SNP pairs within casein loci than for SNP pairs between casein loci, likely reflecting low levels of intragenic recombination. -
Gene Expression Profile of Amyloid Beta Protein-Injected Mouse Model for Alzheimer Disease
Acta Pharmacologica Sinica 2005 Jun; 26 (6): 666–672 Full-length article Gene expression profile of amyloid beta protein-injected mouse model for Alzheimer disease Ling-na KONG, Ping-ping ZUO1, Liang MU, Yan-yong LIU, Nan YANG Department of Pharmacology, School of Basic Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100005, China Key words Abstract Alzheimer disease; dementia; amyloid beta- Aim: To investigate the gene expression profile changes in the cerebral cortex of protein; cDNA microarray mice injected icv with amyloid beta-protein (Aβ) fragment 25-35 using cDNA microarray. Methods: Balb/c mice were randomly divided into a control group and 1 Correspondence to Prof Ping-ping ZUO. Aβ-treated group. The Morris water maze test was performed to detect the effect Phn/Fax 86-10-6529-6404. of Aβ-injection on the learning and memory of mice. Atlas Mouse 1.2 Expression E-mail [email protected] Arrays containing 1176 genes were used to investigate the gene expression pat- Received 2004-11-25 tern of each group. Results: The gene expression profiles showed that 19 genes Accepted 2005-03-14 including TBX1, NF-κB, AP-1/c-Jun, cadherin, integrin, erb-B2, and FGFR1 were doi: 10.1111/j.1745-7254.2005.00129.x up-regulated after 2 weeks of icv administration of Aβ; while 12 genes were down- regulated, including NGF, glucose phosphate isomerase 1, AT motif binding fac- tor 1, Na+/K+-ATPase, and Akt. Conclusions: The results provide important leads for pursuing a more complete understanding of the molecular events of Aβ- injection into mice with Alzheimer disease. -
A High Plane of Nutrition During Early Life Alters the Hypothalamic Transcriptome of Heifer Calves José M
www.nature.com/scientificreports OPEN A high plane of nutrition during early life alters the hypothalamic transcriptome of heifer calves José M. Sánchez 1,2*, Kate Keogh3, Alan K. Kelly1, Colin J. Byrne3, Pat Lonergan1 & David A. Kenny1,3* The aim was to examine the efect of rapid body weight gain during early calfood consistent with earlier sexual development on the transcriptional profle of the hypothalamus. Angus X Holstein– Friesian heifer calves (19 ± 5 days of age) were ofered a high (HI, n = 14) or moderate (MOD, n = 15) plane of nutrition from 3 to 21 weeks of age to achieve a growth rate of 1.2 kg/d and 0.5 kg/d, respectively. Following euthanasia at 21 weeks, the arcuate nucleus (ARC) region was separated from the remainder of the hypothalamus and both were subjected to RNA-Seq. HI calves exhibited altered expression of 80 and 39 transcripts in the ARC and the remaining hypothalamus, respectively (P < 0.05) including downregulation of AGRP and NPY and upregulation of POMC, previously implicated in precocious sexual development. Stress-signaling pathways were amongst the most highly dysregulated. Organ morphology, reproductive system development and function, and developmental disorder were amongst the networks derived from diferentially expressed genes (DEGs) in the ARC. Gene co-expression analysis revealed DEGs within the ARC (POMC, CBLN2, CHGA) and hypothalamus (PENK) as hub genes. In conclusion, enhanced nutrition during early calfood alters the biochemical regulation of the hypothalamus consistent with advanced sexual development in the prepubertal heifer. Early onset of puberty is a key trait underpinning economically efcient cattle production systems. -
Regulation of Skeletal Muscle Differentiation by ATBF1, a Multiple Homeodomain-Zinc Finger Transcription Factor
University of Calgary PRISM: University of Calgary's Digital Repository Graduate Studies Legacy Theses 2000 Regulation of skeletal muscle differentiation by ATBF1, a multiple homeodomain-zinc finger transcription factor Berry, Fred Brandon Berry, F. B. (2000). Regulation of skeletal muscle differentiation by ATBF1, a multiple homeodomain-zinc finger transcription factor (Unpublished doctoral thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/23689 http://hdl.handle.net/1880/39899 doctoral thesis University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Downloaded from PRISM: https://prism.ucalgary.ca NOTE TO USERS Page(s) not included in the original manuscript and are unavailable from the author or university. The manuscript was microfilmed as received. This reproduction is the best copy available. THE UNIVERSITY OF CALGARY Regulation of Skeletal MuscIe Differentiation by ATBF1, a Multiple Homeodomain-zinc Finger Transcription Factor Fred Brandon Berry A DISSERTATION SUBMITTED TO THlE FACC?TYOF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF BIOCHEMISTRY AND MOLECULAR BIOLOGY CALGARY, ALBERTA APRIL, 2000 O Fred Brandon Berry 2000 National Library Bibliotheque nationale I+IofCanada -
Regulating the Suprachiasmatic Nucleus (SCN) Circadian Clockwork: Interplay Between Cell- Autonomous and Circuit-Level Mechanisms
Downloaded from http://cshperspectives.cshlp.org/ on October 8, 2021 - Published by Cold Spring Harbor Laboratory Press Regulating the Suprachiasmatic Nucleus (SCN) Circadian Clockwork: Interplay between Cell- Autonomous and Circuit-Level Mechanisms Erik D. Herzog,1 Tracey Hermanstyne,1 Nicola J. Smyllie,2 and Michael H. Hastings2 1Department of Biology, Washington University in St. Louis, St. Louis, Missouri 63130-4899 2Division of Neurobiology, MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom Correspondence: [email protected]; [email protected] The suprachiasmatic nucleus (SCN) is the principal circadian clock of the brain, directing daily cycles of behavior and physiology. SCN neurons contain a cell-autonomous transcrip- tion-based clockwork but, in turn, circuit-level interactions synchronize the 20,000 or so SCN neurons into a robust and coherent daily timer. Synchronization requires neuropeptide signaling, regulated by a reciprocal interdependence between the molecular clockwork and rhythmic electrical activity, which in turn depends on a daytime Naþ drive and nighttime Kþ drag. Recent studies exploiting intersectional genetics have started to identify the pacemak- ing roles of particular neuronal groups in the SCN. They support the idea that timekeeping involves nonlinear and hierarchical computations that create and incorporate timing infor- mation through the interactions between key groups of neurons within the SCN circuit. The field is now poised to elucidate these computations, their underlying cellular mechanisms, and how the SCN clock interacts with subordinate circadian clocks across the brain to determine the timing and efficiency of the sleep–wake cycle, and how perturbations of this coherence contribute to neurological and psychiatric illness. -
BMP Signaling Suppresses Gemc1 Expression and Ependymal
www.nature.com/scientificreports OPEN BMP signaling suppresses Gemc1 expression and ependymal diferentiation of mouse telencephalic progenitors Hanae Omiya1, Shima Yamaguchi1, Tomoyuki Watanabe1, Takaaki Kuniya1, Yujin Harada1, Daichi Kawaguchi1* & Yukiko Gotoh1,2* The lateral ventricles of the adult mammalian brain are lined by a single layer of multiciliated ependymal cells, which generate a fow of cerebrospinal fuid through directional beating of their cilia as well as regulate neurogenesis through interaction with adult neural stem cells. Ependymal cells are derived from a subset of embryonic neural stem-progenitor cells (NPCs, also known as radial glial cells) that becomes postmitotic during the late embryonic stage of development. Members of the Geminin family of transcriptional regulators including GemC1 and Mcidas play key roles in the diferentiation of ependymal cells, but it remains largely unclear what extracellular signals regulate these factors and ependymal diferentiation during embryonic and early-postnatal development. We now show that the levels of Smad1/5/8 phosphorylation and Id1/4 protein expression—both of which are downstream events of bone morphogenetic protein (BMP) signaling—decline in cells of the ventricular- subventricular zone in the mouse lateral ganglionic eminence in association with ependymal diferentiation. Exposure of postnatal NPC cultures to BMP ligands or to a BMP receptor inhibitor suppressed and promoted the emergence of multiciliated ependymal cells, respectively. Moreover, treatment of embryonic NPC cultures with BMP ligands reduced the expression level of the ependymal marker Foxj1 and suppressed the emergence of ependymal-like cells. Finally, BMP ligands reduced the expression levels of Gemc1 and Mcidas in postnatal NPC cultures, whereas the BMP receptor inhibitor increased them. -
Target Gene Gene Description Validation Diana Miranda
Supplemental Table S1. Mmu-miR-183-5p in silico predicted targets. TARGET GENE GENE DESCRIPTION VALIDATION DIANA MIRANDA MIRBRIDGE PICTAR PITA RNA22 TARGETSCAN TOTAL_HIT AP3M1 adaptor-related protein complex 3, mu 1 subunit V V V V V V V 7 BTG1 B-cell translocation gene 1, anti-proliferative V V V V V V V 7 CLCN3 chloride channel, voltage-sensitive 3 V V V V V V V 7 CTDSPL CTD (carboxy-terminal domain, RNA polymerase II, polypeptide A) small phosphatase-like V V V V V V V 7 DUSP10 dual specificity phosphatase 10 V V V V V V V 7 MAP3K4 mitogen-activated protein kinase kinase kinase 4 V V V V V V V 7 PDCD4 programmed cell death 4 (neoplastic transformation inhibitor) V V V V V V V 7 PPP2R5C protein phosphatase 2, regulatory subunit B', gamma V V V V V V V 7 PTPN4 protein tyrosine phosphatase, non-receptor type 4 (megakaryocyte) V V V V V V V 7 EZR ezrin V V V V V V 6 FOXO1 forkhead box O1 V V V V V V 6 ANKRD13C ankyrin repeat domain 13C V V V V V V 6 ARHGAP6 Rho GTPase activating protein 6 V V V V V V 6 BACH2 BTB and CNC homology 1, basic leucine zipper transcription factor 2 V V V V V V 6 BNIP3L BCL2/adenovirus E1B 19kDa interacting protein 3-like V V V V V V 6 BRMS1L breast cancer metastasis-suppressor 1-like V V V V V V 6 CDK5R1 cyclin-dependent kinase 5, regulatory subunit 1 (p35) V V V V V V 6 CTDSP1 CTD (carboxy-terminal domain, RNA polymerase II, polypeptide A) small phosphatase 1 V V V V V V 6 DCX doublecortin V V V V V V 6 ENAH enabled homolog (Drosophila) V V V V V V 6 EPHA4 EPH receptor A4 V V V V V V 6 FOXP1 forkhead box P1 V