Post-Traumatic Stress Disorder
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Primate Specific Retrotransposons, Svas, in the Evolution of Networks That Alter Brain Function
Title: Primate specific retrotransposons, SVAs, in the evolution of networks that alter brain function. Olga Vasieva1*, Sultan Cetiner1, Abigail Savage2, Gerald G. Schumann3, Vivien J Bubb2, John P Quinn2*, 1 Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, U.K 2 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK 3 Division of Medical Biotechnology, Paul-Ehrlich-Institut, Langen, D-63225 Germany *. Corresponding author Olga Vasieva: Institute of Integrative Biology, Department of Comparative genomics, University of Liverpool, Liverpool, L69 7ZB, [email protected] ; Tel: (+44) 151 795 4456; FAX:(+44) 151 795 4406 John Quinn: Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK, [email protected]; Tel: (+44) 151 794 5498. Key words: SVA, trans-mobilisation, behaviour, brain, evolution, psychiatric disorders 1 Abstract The hominid-specific non-LTR retrotransposon termed SINE–VNTR–Alu (SVA) is the youngest of the transposable elements in the human genome. The propagation of the most ancient SVA type A took place about 13.5 Myrs ago, and the youngest SVA types appeared in the human genome after the chimpanzee divergence. Functional enrichment analysis of genes associated with SVA insertions demonstrated their strong link to multiple ontological categories attributed to brain function and the disorders. SVA types that expanded their presence in the human genome at different stages of hominoid life history were also associated with progressively evolving behavioural features that indicated a potential impact of SVA propagation on a cognitive ability of a modern human. -
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. -
Supplemental Table 1. Complete Gene Lists and GO Terms from Figure 3C
Supplemental Table 1. Complete gene lists and GO terms from Figure 3C. Path 1 Genes: RP11-34P13.15, RP4-758J18.10, VWA1, CHD5, AZIN2, FOXO6, RP11-403I13.8, ARHGAP30, RGS4, LRRN2, RASSF5, SERTAD4, GJC2, RHOU, REEP1, FOXI3, SH3RF3, COL4A4, ZDHHC23, FGFR3, PPP2R2C, CTD-2031P19.4, RNF182, GRM4, PRR15, DGKI, CHMP4C, CALB1, SPAG1, KLF4, ENG, RET, GDF10, ADAMTS14, SPOCK2, MBL1P, ADAM8, LRP4-AS1, CARNS1, DGAT2, CRYAB, AP000783.1, OPCML, PLEKHG6, GDF3, EMP1, RASSF9, FAM101A, STON2, GREM1, ACTC1, CORO2B, FURIN, WFIKKN1, BAIAP3, TMC5, HS3ST4, ZFHX3, NLRP1, RASD1, CACNG4, EMILIN2, L3MBTL4, KLHL14, HMSD, RP11-849I19.1, SALL3, GADD45B, KANK3, CTC- 526N19.1, ZNF888, MMP9, BMP7, PIK3IP1, MCHR1, SYTL5, CAMK2N1, PINK1, ID3, PTPRU, MANEAL, MCOLN3, LRRC8C, NTNG1, KCNC4, RP11, 430C7.5, C1orf95, ID2-AS1, ID2, GDF7, KCNG3, RGPD8, PSD4, CCDC74B, BMPR2, KAT2B, LINC00693, ZNF654, FILIP1L, SH3TC1, CPEB2, NPFFR2, TRPC3, RP11-752L20.3, FAM198B, TLL1, CDH9, PDZD2, CHSY3, GALNT10, FOXQ1, ATXN1, ID4, COL11A2, CNR1, GTF2IP4, FZD1, PAX5, RP11-35N6.1, UNC5B, NKX1-2, FAM196A, EBF3, PRRG4, LRP4, SYT7, PLBD1, GRASP, ALX1, HIP1R, LPAR6, SLITRK6, C16orf89, RP11-491F9.1, MMP2, B3GNT9, NXPH3, TNRC6C-AS1, LDLRAD4, NOL4, SMAD7, HCN2, PDE4A, KANK2, SAMD1, EXOC3L2, IL11, EMILIN3, KCNB1, DOK5, EEF1A2, A4GALT, ADGRG2, ELF4, ABCD1 Term Count % PValue Genes regulation of pathway-restricted GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, SMAD protein phosphorylation 9 6.34 1.31E-08 ENG pathway-restricted SMAD protein GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, phosphorylation -
Oas1b-Dependent Immune Transcriptional Profiles of West Nile
MULTIPARENTAL POPULATIONS Oas1b-dependent Immune Transcriptional Profiles of West Nile Virus Infection in the Collaborative Cross Richard Green,*,† Courtney Wilkins,*,† Sunil Thomas,*,† Aimee Sekine,*,† Duncan M. Hendrick,*,† Kathleen Voss,*,† Renee C. Ireton,*,† Michael Mooney,‡,§ Jennifer T. Go,*,† Gabrielle Choonoo,‡,§ Sophia Jeng,** Fernando Pardo-Manuel de Villena,††,‡‡ Martin T. Ferris,†† Shannon McWeeney,‡,§,** and Michael Gale Jr.*,†,1 *Department of Immunology and †Center for Innate Immunity and Immune Disease (CIIID), University of Washington, § Seattle, Washington 98109, ‡OHSU Knight Cancer Institute, Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, and **Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, Oregon 97239, ††Department of Genetics and ‡‡Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27514 ABSTRACT The oligoadenylate-synthetase (Oas) gene locus provides innate immune resistance to virus KEYWORDS infection. In mouse models, variation in the Oas1b gene influences host susceptibility to flavivirus infection. Oas However, the impact of Oas variation on overall innate immune programming and global gene expression flavivirus among tissues and in different genetic backgrounds has not been defined. We examined how Oas1b acts viral infection in spleen and brain tissue to limit West Nile virus (WNV) susceptibility and disease across a range of innate immunity genetic backgrounds. The laboratory founder strains of the mouse Collaborative Cross (CC) (A/J, C57BL/6J, multiparental 129S1/SvImJ, NOD/ShiLtJ, and NZO/HlLtJ) all encode a truncated, defective Oas1b, whereas the three populations wild-derived inbred founder strains (CAST/EiJ, PWK/PhJ, and WSB/EiJ) encode a full-length OAS1B pro- Multi-parent tein. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Open Chen-Thesis Finalv5.Pdf
The Pennsylvania State University The Graduate School Department of Neural and Behavioral Sciences EPIGENETIC ANALYSIS OF IMMUNE ASSOCIATED SIGNALING MOLECULES DURING MOUSE RETINA DEVELOPMENT A Thesis in Anatomy by Chen Yang © 2013 Chen Yang Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science May 2013 The thesis of Chen Yang was reviewed and approved* by the following: Samuel Shao-Min Zhang Assistant Professor of Neural and Behavioral Sciences Thesis Advisor Colin J. Barnstable Department Head of Neural and Behavioral Sciences Professor of Neural and Behavioral Sciences Patricia J. McLaughlin Professor of Neural and Behavioral Sciences Director of Graduate Program in Anatomy *Signatures are on file in the Graduate School. ii ABSTRACT The retina is an immune-privileged organ. Many autoimmune diseases, such as AMD, glaucoma, and diabetic retinopathy, are caused by excessive inflammatory responses targeting self-tissue. The physiological functions of extracellular and intracellular signaling molecules of immune responses have been well characterized. The epigenetic aspects of these molecules in the retina, however, have not been well elucidated. In this study, we examined the expression of selected immune-related genes, and their transcriptional accessibility via epigenetic mapping, cluster analysis, and RT-PCR. Among these genes, interleukin receptor related genes and intracellular signaling molecules exhibit higher transcriptional accessibility. Epigenetic mapping of the toll-like receptor (TLR) family revealed that 3 out of 13 TLRs exhibit H3K4me2 accumulation during retina development, suggesting that TLR2, TLR3, and TLR9 are the only TLR members expressed in the retina. Most of the NF-κB signaling molecules exhibited transcriptional accessibility, implying their essential roles in inflammatory regulation during retina maturation. -
TRAFD1 (FLN29) Interacts with Plekhm1 and Regulates Osteoclast Acidification and Resorption
University of Massachusetts Medical School eScholarship@UMMS Open Access Articles Open Access Publications by UMMS Authors 2015-05-19 TRAFD1 (FLN29) Interacts with Plekhm1 and Regulates Osteoclast Acidification and Resorption Hanna Witwicka University of Massachusetts Medical School Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/oapubs Part of the Cell Biology Commons, and the Developmental Biology Commons Repository Citation Witwicka H, Jia H, Kutikov AB, Reyes-Gutierrez P, Li X, Odgren PR. (2015). TRAFD1 (FLN29) Interacts with Plekhm1 and Regulates Osteoclast Acidification and Resorption. Open Access Articles. https://doi.org/ 10.1371/journal.pone.0127537. Retrieved from https://escholarship.umassmed.edu/oapubs/2540 Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 License. This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Open Access Articles by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. RESEARCH ARTICLE TRAFD1 (FLN29) Interacts with Plekhm1 and Regulates Osteoclast Acidification and Resorption Hanna Witwicka, Hong Jia¤a, Artem Kutikov, Pablo Reyes-Gutierrez, Xiangdong Li¤b, Paul R. Odgren* Department of Cell and Developmental Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01655 United States of America ¤a Current address: Developmental Neurobiology Department, St. Jude Children's Research Hospital, Memphis, Tennessee, 38105 United States of America ¤b Current address: Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China * [email protected] Abstract Plekhm1 is a large, multi-modular, adapter protein implicated in osteoclast vesicle trafficking and bone resorption. -
Anti-TRAFD1 Antibody (ARG59831)
Product datasheet [email protected] ARG59831 Package: 100 μl anti-TRAFD1 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes TRAFD1 Tested Reactivity Hu Tested Application WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name TRAFD1 Antigen Species Human Immunogen Recombinant fusion protein corresponding to aa. 1-260 of Human TRAFD1 (NP_006691.1). Conjugation Un-conjugated Alternate Names TRAF-type zinc finger domain-containing protein 1; FLN29; Protein FLN29 Application Instructions Application table Application Dilution WB 1:500 - 1:1000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control A-375 Calculated Mw 65 kDa Observed Size 78 kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. www.arigobio.com 1/2 Bioinformation Gene Symbol TRAFD1 Gene Full Name TRAF-type zinc finger domain containing 1 Background The innate immune system confers host defense against viral and microbial infection, and TRAFD1 is a negative feedback regulator that controls excessive immune responses (Sanada et al., 2008 [PubMed 18849341]).[supplied by OMIM, Dec 2009] Function Negative feedback regulator that controls excessive innate immune responses. -
Egfr Activates a Taz-Driven Oncogenic Program in Glioblastoma
EGFR ACTIVATES A TAZ-DRIVEN ONCOGENIC PROGRAM IN GLIOBLASTOMA by Minling Gao A thesis submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland March 2020 ©2020 Minling Gao All rights reserved Abstract Hyperactivated EGFR signaling is associated with about 45% of Glioblastoma (GBM), the most aggressive and lethal primary brain tumor in humans. However, the oncogenic transcriptional events driven by EGFR are still incompletely understood. We studied the role of the transcription factor TAZ to better understand master transcriptional regulators in mediating the EGFR signaling pathway in GBM. The transcriptional coactivator with PDZ- binding motif (TAZ) and its paralog gene, the Yes-associated protein (YAP) are two transcriptional co-activators that play important roles in multiple cancer types and are regulated in a context-dependent manner by various upstream signaling pathways, e.g. the Hippo, WNT and GPCR signaling. In GBM cells, TAZ functions as an oncogene that drives mesenchymal transition and radioresistance. This thesis intends to broaden our understanding of EGFR signaling and TAZ regulation in GBM. In patient-derived GBM cell models, EGF induced TAZ and its known gene targets through EGFR and downstream tyrosine kinases (ERK1/2 and STAT3). In GBM cells with EGFRvIII, an EGF-independent and constitutively active mutation, TAZ showed EGF- independent hyperactivation when compared to EGFRvIII-negative cells. These results revealed a novel EGFR-TAZ signaling axis in GBM cells. The second contribution of this thesis is that we performed next-generation sequencing to establish the first genome-wide map of EGF-induced TAZ target genes. -
Differential Gene Network Analysis for the Identification of Asthma-Associated Therapeutic Targets in Allergen-Specific T-Helper Memory Responses Niamh M
Troy et al. BMC Medical Genomics (2016) 9:9 DOI 10.1186/s12920-016-0171-z RESEARCH ARTICLE Open Access Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses Niamh M. Troy1*, Elysia M. Hollams1, Patrick G. Holt1,2† and Anthony Bosco1† Abstract Background: Asthma is strongly associated with allergic sensitization, but the mechanisms that determine why only a subset of atopics develop asthma are not well understood. The aim of this study was to test the hypothesis that variations in allergen-driven CD4 T cell responses are associated with susceptibility to expression of asthma symptoms. Methods: The study population consisted of house dust mite (HDM) sensitized atopics with current asthma (n = 22), HDM-sensitized atopics without current asthma (n = 26), and HDM-nonsensitized controls (n =24). Peripheral blood mononuclear cells from these groups were cultured in the presence or absence of HDM extract for 24 h. CD4 T cells were then isolated by immunomagnetic separation, and gene expression patterns were profiled on microarrays. Results: Differential network analysis of HDM-induced CD4 T cell responses in sensitized atopics with or without asthma unveiled a cohort of asthma-associated genes that escaped detection by more conventional data analysis techniques. These asthma-associated genes were enriched for targets of STAT6 signaling, and they were nested within a larger coexpression module comprising 406 genes. Upstream regulator analysis suggested that this module was driven primarily by IL-2, IL-4, and TNF signaling; reconstruction of the wiring diagram of the module revealed a series of hub genes involved in inflammation (IL-1B, NFkB, STAT1, STAT3), apoptosis (BCL2, MYC), and regulatory T cells (IL-2Ra, FoxP3). -
Heterogeneity Between Primary Colon Carcinoma and Paired Lymphatic and Hepatic Metastases
MOLECULAR MEDICINE REPORTS 6: 1057-1068, 2012 Heterogeneity between primary colon carcinoma and paired lymphatic and hepatic metastases HUANRONG LAN1, KETAO JIN2,3, BOJIAN XIE4, NA HAN5, BINBIN CUI2, FEILIN CAO2 and LISONG TENG3 Departments of 1Gynecology and Obstetrics, and 2Surgical Oncology, Taizhou Hospital, Wenzhou Medical College, Linhai, Zhejiang; 3Department of Surgical Oncology, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang; 4Department of Surgical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang; 5Cancer Chemotherapy Center, Zhejiang Cancer Hospital, Zhejiang University of Chinese Medicine, Hangzhou, Zhejiang, P.R. China Received January 26, 2012; Accepted May 8, 2012 DOI: 10.3892/mmr.2012.1051 Abstract. Heterogeneity is one of the recognized characteris- Introduction tics of human tumors, and occurs on multiple levels in a wide range of tumors. A number of studies have focused on the Intratumor heterogeneity is one of the recognized charac- heterogeneity found in primary tumors and related metastases teristics of human tumors, which occurs on multiple levels, with the consideration that the evaluation of metastatic rather including genetic, protein and macroscopic, in a wide range than primary sites could be of clinical relevance. Numerous of tumors, including breast, colorectal cancer (CRC), non- studies have demonstrated particularly high rates of hetero- small cell lung cancer (NSCLC), prostate, ovarian, pancreatic, geneity between primary colorectal tumors and their paired gastric, brain and renal clear cell carcinoma (1). Over the past lymphatic and hepatic metastases. It has also been proposed decade, a number of studies have focused on the heterogeneity that the heterogeneity between primary colon carcinomas and found in primary tumors and related metastases with the their paired lymphatic and hepatic metastases may result in consideration that the evaluation of metastatic rather than different responses to anticancer therapies. -
Gene Duplication and Neofunctionalization: POLR3G and POLR3GL
Downloaded from genome.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press Research Gene duplication and neofunctionalization: POLR3G and POLR3GL Marianne Renaud,1 Viviane Praz,1,2 Erwann Vieu,1,5 Laurence Florens,3 Michael P. Washburn,3,4 Philippe l’Hoˆte,1 and Nouria Hernandez1,6 1Center for Integrative Genomics, Faculty of Biology and Medicine, University of Lausanne, 1015 Lausanne, Switzerland; 2Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland; 3Stowers Institute for Medical Research, Kansas City, Missouri 64110, USA; 4Department of Pathology and Laboratory Medicine, The University of Kansas Medical Center, Kansas City, Kansas 66160, USA RNA polymerase III (Pol III) occurs in two versions, one containing the POLR3G subunit and the other the closely related POLR3GL subunit. It is not clear whether these two Pol III forms have the same function, in particular whether they recognize the same target genes. We show that the POLR3G and POLR3GL genes arose from a DNA-based gene duplication, probably in a common ancestor of vertebrates. POLR3G- as well as POLR3GL-containing Pol III are present in cultured cell lines and in normal mouse liver, although the relative amounts of the two forms vary, with the POLR3G-containing Pol III relatively more abundant in dividing cells. Genome-wide chromatin immunoprecipitations followed by high-throughput sequencing (ChIP-seq) reveal that both forms of Pol III occupy the same target genes, in very constant proportions within one cell line, suggesting that the two forms of Pol III have a similar function with regard to specificity for target genes. In contrast, the POLR3G promoter—not the POLR3GL promoter—binds the transcription factor MYC, as do all other pro- moters of genes encoding Pol III subunits.