Long Noncoding RNA HCP5, a Hybrid HLA Class I Endogenous Retroviral Gene: Structure, Expression, and Disease Associations
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University of Copenhagen, Copenhagen, Denmark, Citation: Pereira J, Johnson WE, O’Brien SJ, 8
Evolutionary genomics and adaptive evolution of the hedgehog gene family (Shh, Ihh and Dhh) in vertebrates Pereira, Joana; Johnson, Warren E.; O'Brien, Stephen J.; Jarvis, Erich D; Zhang, Guojie; Gilbert, M. Thomas P.; Vasconcelos, Vitor; Antunes, Agostinho Published in: PloS one DOI: 10.1371/journal.pone.0074132 Publication date: 2014 Document version Publisher's PDF, also known as Version of record Document license: CC BY Citation for published version (APA): Pereira, J., Johnson, W. E., O'Brien, S. J., Jarvis, E. D., Zhang, G., Gilbert, M. T. P., Vasconcelos, V., & Antunes, A. (2014). Evolutionary genomics and adaptive evolution of the hedgehog gene family (Shh, Ihh and Dhh) in vertebrates. PloS one, 9(12), [e74132]. https://doi.org/10.1371/journal.pone.0074132 Download date: 24. sep.. 2021 RESEARCH ARTICLE Evolutionary Genomics and Adaptive Evolution of the Hedgehog Gene Family (Shh, Ihh and Dhh) in Vertebrates Joana Pereira1¤, Warren E. Johnson2, Stephen J. O’Brien3,4, Erich D. Jarvis5, Guojie Zhang6, M. Thomas P. Gilbert7, Vitor Vasconcelos1,8, Agostinho Antunes1,8* 1. CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal, 2. Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, Virginia, United States of America, 3. Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia, 4. Oceanographic Center, N. Ocean Drive, Nova Southeastern University, Ft. Lauderdale, Florida, United States of America, 5. Howard Hughes Medical Institute, Department of Neurobiology, Duke University Medical Center, Durham, North Carolina, United States of America, 6. BGI-Shenzhen, Beishan Industrial Zoon, Yantian District, Shenzhen, China, 7. -
Transmission Within Discordant Couples in Relation To
Human Leukocyte Antigen Class I Genotypes in Relation to Heterosexual HIV Type 1 Transmission within Discordant Couples This information is current as Jianming Tang, Wenshuo Shao, Yun Joo Yoo, Ilene Brill, of September 25, 2021. Joseph Mulenga, Susan Allen, Eric Hunter and Richard A. Kaslow J Immunol 2008; 181:2626-2635; ; doi: 10.4049/jimmunol.181.4.2626 http://www.jimmunol.org/content/181/4/2626 Downloaded from References This article cites 67 articles, 19 of which you can access for free at: http://www.jimmunol.org/content/181/4/2626.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 25, 2021 *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 © 2008 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Human Leukocyte Antigen Class I Genotypes in Relation to Heterosexual HIV Type 1 Transmission within Discordant Couples1 Jianming Tang,2* Wenshuo Shao,† Yun Joo Yoo,3‡ Ilene Brill,† Joseph Mulenga,§ Susan Allen,§¶ Eric Hunter,§ʈ and Richard A. -
Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R. -
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. -
Distinguishing Pleiotropy from Linked QTL Between Milk Production Traits
Cai et al. Genet Sel Evol (2020) 52:19 https://doi.org/10.1186/s12711-020-00538-6 Genetics Selection Evolution RESEARCH ARTICLE Open Access Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle Zexi Cai1*†, Magdalena Dusza2†, Bernt Guldbrandtsen1, Mogens Sandø Lund1 and Goutam Sahana1 Abstract Background: Production and health traits are central in cattle breeding. Advances in next-generation sequencing technologies and genotype imputation have increased the resolution of gene mapping based on genome-wide association studies (GWAS). Thus, numerous candidate genes that afect milk yield, milk composition, and mastitis resistance in dairy cattle are reported in the literature. Efect-bearing variants often afect multiple traits. Because the detection of overlapping quantitative trait loci (QTL) regions from single-trait GWAS is too inaccurate and subjective, multi-trait analysis is a better approach to detect pleiotropic efects of variants in candidate genes. However, large sample sizes are required to achieve sufcient power. Multi-trait meta-analysis is one approach to deal with this prob- lem. Thus, we performed two multi-trait meta-analyses, one for three milk production traits (milk yield, protein yield and fat yield), and one for milk yield and mastitis resistance. Results: For highly correlated traits, the power to detect pleiotropy was increased by multi-trait meta-analysis com- pared with the subjective assessment of overlapping of single-trait QTL confdence intervals. Pleiotropic efects of lead single nucleotide polymorphisms (SNPs) that were detected from the multi-trait meta-analysis were confrmed by bivariate association analysis. The previously reported pleiotropic efects of variants within the DGAT1 and MGST1 genes on three milk production traits, and pleiotropic efects of variants in GHR on milk yield and fat yield were con- frmed. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Divergence in Cd8 T Cell Epitopes of Hiv-1 As An
DIVERGENCE IN CD8+ T CELL EPITOPES OF HIV-1 AS AN IMMUNE ESCAPE MECHANISM by Bonnie Colleton B.A., Wheaton College, 1993 Submitted to the Graduate Faculty of Graduate School of Public Health in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2007 UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH This dissertation was presented by Bonnie Colleton It was defended on August 17, 2007 and approved by Simon Barratt-Boyes, BVSc, PhD Associate Professor Department of Infectious Diseases and Microbiology Graduate School of Public Health, University of Pittsburgh Phalguni Gupta, PhD Professor Department of Infectious Diseases and Microbiology Graduate School of Public Health, University of Pittsburgh Russell Salter, PhD Professor Department of Immunology School of Medicine, University of Pittsburgh Walter Storkus, PhD Professor Department of Dermatology School of Medicine, University of Pittsburgh Dissertation Advisor: Charles Rinaldo Jr., PhD Chairman and ProfessorDepartment of Infectious Diseases and Microbiology Graduate School of Public Health, University of Pittsburgh ii Copyright Bonnie Colleton 2007 iii Charles R. Rinaldo, Jr. PhD DIVERGENCE IN CD8+ T CELL EPITOPES OF HIV-1 AS AN IMMUNE ESCAPE MECHANISM Bonnie Colleton, PhD University of Pittsburgh, 2007 More than 40 million people are living with human immunodeficiency virus-1 (HIV-1). A prophylactic vaccine inducing a ‘sterilizing immunity’ is desired to prevent further infections, but will require many years to develop. Moreover, prophylactic vaccines will not help the millions of people who are already infected with the virus, and who face life-long treatment with expensive and toxic antiretroviral therapy (ART). This dissertation is based on the proposal that the best strategy for these individuals is a therapeutic vaccine that will attack residual viral reservoirs by expanding HIV-1 specific, primary T cell responses to the persons’s own, autologous virus. -
Chapter 2 Gene Regulation and Speciation in House Mice
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Gene regulation and the genomic basis of speciation and adaptation in house mice (Mus musculus) Permalink https://escholarship.org/uc/item/8ck133qd Author Mack, Katya L Publication Date 2018 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Gene regulation and the genomic basis of speciation and adaptation in house mice (Mus musculus) By Katya L. Mack A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Integrative Biology in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Michael W. Nachman, Chair Professor Rasmus Nielsen Professor Craig T. Miller Fall 2018 Abstract Gene regulation and the genomic basis of speciation and adaptation in house mice (Mus musculus) by Katya Mack Doctor of Philosophy in Integrative Biology University of California, Berkeley Professor Michael W. Nachman, Chair Gene expression is a molecular phenotype that is essential to organismal form and fitness. However, how gene regulation evolves over evolutionary time and contributes to phenotypic differences within and between species is still not well understood. In my dissertation, I examined the role of gene regulation in adaptation and speciation in house mice (Mus musculus). In chapter 1, I reviewed theoretical models and empirical data on the role of gene regulation in the origin of new species. I discuss how regulatory divergence between species can result in hybrid dysfunction and point to areas that could benefit from future research. In chapter 2, I characterized regulatory divergence between M. -
High-Resolution Mapping of a Genetic Locus Regulating Preferential Carbohydrate Intake, Total Kilocalories, and Food Volume on Mouse Chromosome 17
High-Resolution Mapping of a Genetic Locus Regulating Preferential Carbohydrate Intake, Total Kilocalories, and Food Volume on Mouse Chromosome 17 Rodrigo Gularte-Me´rida1¤, Lisa M. DiCarlo2, Ginger Robertson2, Jacob Simon2, William D. Johnson4, Claudia Kappen3, Juan F. Medrano1, Brenda K. Richards2* 1 Department of Animal Science, University of California Davis, Davis, California, United States of America, 2 Genetics of Eating Behavior Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, United States of America, 3 Department of Developmental Biology, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, United States of America, 4 Biostatistics Department, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, United States of America Abstract The specific genes regulating the quantitative variation in macronutrient preference and food intake are virtually unknown. We fine mapped a previously identified mouse chromosome 17 region harboring quantitative trait loci (QTL) with large effects on preferential macronutrient intake-carbohydrate (Mnic1), total kilcalories (Kcal2), and total food volume (Tfv1) using interval-specific strains. These loci were isolated in the [C57BL/6J.CAST/EiJ-17.1-(D17Mit19-D17Mit50); B6.CAST-17.1] strain, possessing a ,40.1 Mb region of CAST DNA on the B6 genome. In a macronutrient selection paradigm, the B6.CAST-17.1 subcongenic mice eat 30% more calories from the carbohydrate-rich diet, ,10% more total calories, and ,9% more total food volume per body weight. In the current study, a cross between carbohydrate-preferring B6.CAST-17.1 and fat- preferring, inbred B6 mice was used to generate a subcongenic-derived F2 mapping population; genotypes were determined using a high-density, custom SNP panel. -
Mouse Lmbr1l Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Lmbr1l Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Lmbr1l conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Lmbr1l gene (NCBI Reference Sequence: NM_029098 ; Ensembl: ENSMUSG00000022999 ) is located on Mouse chromosome 15. 17 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 17 (Transcript: ENSMUST00000023736). Exon 2~3 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Lmbr1l gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-349E22 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for an ENU-induced allele exhibit altered lymphopoiesis and lymphoid activation. Exon 2 starts from about 4.98% of the coding region. The knockout of Exon 2~3 will result in frameshift of the gene. The size of intron 1 for 5'-loxP site insertion: 2628 bp, and the size of intron 3 for 3'-loxP site insertion: 1019 bp. The size of effective cKO region: ~2165 bp. The cKO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 4 5 6 17 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Lmbr1l Homology arm cKO region loxP site Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Article (Published Version)
Article A whole-genome association study of major determinants for host control of HIV-1 FELLAY, Jacques, et al. Abstract Understanding why some people establish and maintain effective control of HIV-1 and others do not is a priority in the effort to develop new treatments for HIV/AIDS. Using a whole-genome association strategy, we identified polymorphisms that explain nearly 15% of the variation among individuals in viral load during the asymptomatic set-point period of infection. One of these is found within an endogenous retroviral element and is associated with major histocompatibility allele human leukocyte antigen (HLA)-B*5701, whereas a second is located near the HLA-C gene. An additional analysis of the time to HIV disease progression implicated two genes, one of which encodes an RNA polymerase I subunit. These findings emphasize the importance of studying human genetic variation as a guide to combating infectious agents. Reference FELLAY, Jacques, et al. A whole-genome association study of major determinants for host control of HIV-1. Science, 2007, vol. 317, no. 5840, p. 944-947 DOI : 10.1126/science.1143767 PMID : 17641165 Available at: http://archive-ouverte.unige.ch/unige:9171 Disclaimer: layout of this document may differ from the published version. 1 / 1 NIH Public Access Author Manuscript Science. Author manuscript; available in PMC 2007 September 24. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Science. 2007 August 17; 317(5840): 944±947. A Whole-Genome Association Study of Major Determinants for Host Control of HIV-1 Jacques Fellay1, Kevin V. -
Genome-Wide Association for HIV on the Trail of Transcription Factors
R ESEARCH HIGHLIGHTS TechnologY On the trail of transcription factors Recently developed techniques such transcription factors. For each tran- as chromatin immunoprecipitation scription factor fused to Sir4, they Using this coupled to DNA microarray analysis used a Ty5 element that was engi- method, they (ChIP–chip) or ChIPseq, in which neered to contain a short sequence were able immunoprecipitated DNA fragments that could function as a ‘barcode’ (or are sequenced using a ‘next-generation ‘calling card’, as the authors propose) to mark — sequencing’ technology, allow the specific for that factor. through Ty5 identification of any DNA sequence Following cell transformation integration that is bound by a specific protein. (with a plasmid carrying the fusion — the DNA But is it possible to do the opposite gene and another carrying the sequences and identify which proteins bind a corresponding Ty transposon) and that were certain sequence? A recent study in induction of transposition, the DNA yeast offers a promising approach to of the cells selected for the transposi- ‘visited’ by tackle this question. tion events was harvested, amplified transcription The retrotransposon Ty5 encodes and analysed by DNA sequencing factors. an integrase that interacts with the or DNA microarray hybridization. robust; moreover, it identified both silent information regulator 4 (Sir4) The authors tested the method first known and unknown genomic targets. chromatin component and catalyses by using two transcription factors, Implementing this technology for its insertion into the yeast genome, Gal4 and Gcn4, independently, then all of the ~200 yeast DNA-binding near Sir4-binding sites. The authors together with five other transcrip- proteins could allow the whole yeast took advantage of the fact that fusing tion factors, each fused to Sir4 along transcription factor network to be DNA-binding proteins to Sir4 directs with its corresponding Ty5 element.