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Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptNat Chem Author Manuscript Biol. Author manuscript; Author Manuscript available in PMC 2013 September 01. Published in final edited form as: Nat Chem Biol. 2013 March ; 9(3): 184–191. doi:10.1038/nchembio.1157. Discovery of a chemical probe for the L3MBTL3 methyl-lysine reader domain Lindsey I. James1, Dalia Barsyte-Lovejoy2, Nan Zhong2, Liubov Krichevsky2,3,4, Victoria K. Korboukh1, Martin J. Herold1, Christopher J. MacNevin1,8, Jacqueline L. Norris1, Cari A. Sagum5, Wolfram Tempel2, Edyta Marcon6, Hongbo Guo6, Cen Gao1, Xi-Ping Huang7,8, Shili Duan4, Andrew Emili6, Jack F. Greenblatt6, Dmitri B. Kireev1, Jian Jin1, William P. Janzen1, Peter J. Brown2, Mark T. Bedford5, Cheryl H. Arrowsmith2,3,4,*, and Stephen V. Frye1,* 1Center for Integrative Chemical Biology and Drug Discovery, Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA 2Structural Genomics Consortium, University of Toronto, Toronto, Ontario, M5G 1L7, Canada 3Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario, M5G 1L7, Canada 4Ontario Cancer Institute and Campbell Family Cancer Research Institute, University of Toronto, 101 College Street, Toronto, Ontario, M5G 1L7, Canada 5M. D. Anderson Cancer Center Department of Carcinogenesis, University of Texas, Smithville, TX, USA 6Banting and Best Department of Medical Research, Donnelly Centre, 160 College Street, Toronto, ON, M5S 3E1 7National Institute of Mental Health Psychoactive Drug Screening Program, University of North Carolina at Chapel Hill Medical School, Chapel Hill, North Carolina 27599, USA Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms *Correspondence and requests for materials should be addressed to S.V.F. -
UNIVERSITY of CALIFORNIA Los Angeles a Sterile Alpha Motif
UNIVERSITY OF CALIFORNIA Los Angeles A Sterile Alpha Motif Domain Network Involved in Kidney Development A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biochemistry and Molecular Biology by Catherine Nicole Leettola 2015 ABSTRACT OF THE DISSERTATION A Sterile Alpha Motif Domain Network Involved in Kidney Development by Catherine Nicole Leettola Doctor of Philosophy in Biochemistry and Molecular Biology University of California, Los Angeles, 2015 Professor James U. Bowie, Chair Cystic kidney diseases including polycystic kidney disease (PKD) and nephronophthisis (NPHP) are the most common genetic disorders leading to end-stage renal failure in humans. Animal models and human cases of PKD and NPHP have implicated the sterile alpha motif (SAM) domain containing proteins bicaudal C homolog 1 (BICC1) and ankyrin repeat and SAM- domain containing protein 6 (ANKS6) as being involved in these conditions and important for renal development. SAM domains are known protein-protein interaction domains that are capable of binding each other to form polymers and heterodimers. Using a negGFP native gel assay, we have identified the SAM domain of the previously uncharacterized protein ankyrin repeat and SAM-domain containing protein 3 (ANKS3) as a direct binding partner of the BICC1 and ANKS6 SAM domains. We found the ANKS3 SAM domain to polymerize with moderate affinity and determined the ANKS6 SAM domain can bind to a single end of this polymer. Crystal structures of the ANKS3 SAM domain polymer and the ANKS3 SAM-ANKS6 SAM ii heterodimer are presented to reveal typical ML-EH SAM domain interaction interfaces with a pronounced charge complementarity. -
Mammalian PRC1 Complexes: Compositional Complexity and Diverse Molecular Mechanisms
International Journal of Molecular Sciences Review Mammalian PRC1 Complexes: Compositional Complexity and Diverse Molecular Mechanisms Zhuangzhuang Geng 1 and Zhonghua Gao 1,2,3,* 1 Departments of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, PA 17033, USA; [email protected] 2 Penn State Hershey Cancer Institute, Hershey, PA 17033, USA 3 The Stem Cell and Regenerative Biology Program, Penn State College of Medicine, Hershey, PA 17033, USA * Correspondence: [email protected] Received: 6 October 2020; Accepted: 5 November 2020; Published: 14 November 2020 Abstract: Polycomb group (PcG) proteins function as vital epigenetic regulators in various biological processes, including pluripotency, development, and carcinogenesis. PcG proteins form multicomponent complexes, and two major types of protein complexes have been identified in mammals to date, Polycomb Repressive Complexes 1 and 2 (PRC1 and PRC2). The PRC1 complexes are composed in a hierarchical manner in which the catalytic core, RING1A/B, exclusively interacts with one of six Polycomb group RING finger (PCGF) proteins. This association with specific PCGF proteins allows for PRC1 to be subdivided into six distinct groups, each with their own unique modes of action arising from the distinct set of associated proteins. Historically, PRC1 was considered to be a transcription repressor that deposited monoubiquitylation of histone H2A at lysine 119 (H2AK119ub1) and compacted local chromatin. More recently, there is increasing evidence that demonstrates the transcription activation role of PRC1. Moreover, studies on the higher-order chromatin structure have revealed a new function for PRC1 in mediating long-range interactions. This provides a different perspective regarding both the transcription activation and repression characteristics of PRC1. -
Parent-Of-Origin Effects on Quantitative Phenotypes in a Large Hutterite Pedigree
ARTICLE https://doi.org/10.1038/s42003-018-0267-4 OPEN Parent-of-origin effects on quantitative phenotypes in a large Hutterite pedigree Sahar V. Mozaffari 1,2, Jeanne M. DeCara3, Sanjiv J. Shah4, Carlo Sidore5, Edoardo Fiorillo5, Francesco Cucca5,6, Roberto M. Lang3, Dan L. Nicolae1,2,3,7 & Carole Ober1,2 1234567890():,; The impact of the parental origin of associated alleles in GWAS has been largely ignored. Yet sequence variants could affect traits differently depending on whether they are inherited from the mother or the father, as in imprinted regions, where identical inherited DNA sequences can have different effects based on the parental origin. To explore parent-of-origin effects (POEs), we studied 21 quantitative phenotypes in a large Hutterite pedigree to identify variants with single parent (maternal-only or paternal-only) effects, and then variants with opposite parental effects. Here we show that POEs, which can be opposite in direction, are relatively common in humans, have potentially important clinical effects, and will be missed in traditional GWAS. We identified POEs with 11 phenotypes, most of which are risk factors for cardiovascular disease. Many of the loci identified are characteristic of imprinted regions and are associated with the expression of nearby genes. 1 Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. 2 Committee on Genetics, Genomics, and Systems Biology, University of Chicago, Chicago, IL 60637, USA. 3 Department of Medicine, University of Chicago, Chicago, IL 60637, USA. 4 Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA. 5 Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato 09042, Italy. -
Copy Number Variation, Chromosome Rearrangement, and Their Association with Recombination During Avian Evolution
Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Research Copy number variation, chromosome rearrangement, and their association with recombination during avian evolution Martin Vo¨lker,1 Niclas Backstro¨m,2 Benjamin M. Skinner,1,3 Elizabeth J. Langley,1,4 Sydney K. Bunzey,1 Hans Ellegren,2 and Darren K. Griffin1,5 1School of Biosciences, University of Kent, Canterbury, Kent CT2 7NJ, United Kingdom; 2Department of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Norbyva¨gen 18D, SE-752 36 Uppsala, Sweden Chromosomal rearrangements and copy number variants (CNVs) play key roles in genome evolution and genetic disease; however, the molecular mechanisms underlying these types of structural genomic variation are not fully understood. The availability of complete genome sequences for two bird species, the chicken and the zebra finch, provides, for the first time, an ideal opportunity to analyze the relationship between structural genomic variation (chromosomal and CNV) and recombination on a genome-wide level. The aims of this study were therefore threefold: (1) to combine bioinformatics, physical mapping to produce comprehensive comparative maps of the genomes of chicken and zebra finch. In so doing, this allowed the identification of evolutionary chromosomal rearrangements distinguishing them. The previously reported interchromosomal conservation of synteny was confirmed, but a larger than expected number of intrachromosomal rearrangements were reported; (2) to hybridize zebra finch genomic DNA to a chicken tiling path microarray and identify CNVs in the zebra finch genome relative to chicken; 32 interspecific CNVs were identified; and (3) to test the hypothesis that there is an association between CNV, chromosomal rearrangements, and recombination by correlating data from (1) and (2) with recombination rate data from a high-resolution genetic linkage map of the zebra finch. -
393LN V 393P 344SQ V 393P Probe Set Entrez Gene
393LN v 393P 344SQ v 393P Entrez fold fold probe set Gene Gene Symbol Gene cluster Gene Title p-value change p-value change chemokine (C-C motif) ligand 21b /// chemokine (C-C motif) ligand 21a /// chemokine (C-C motif) ligand 21c 1419426_s_at 18829 /// Ccl21b /// Ccl2 1 - up 393 LN only (leucine) 0.0047 9.199837 0.45212 6.847887 nuclear factor of activated T-cells, cytoplasmic, calcineurin- 1447085_s_at 18018 Nfatc1 1 - up 393 LN only dependent 1 0.009048 12.065 0.13718 4.81 RIKEN cDNA 1453647_at 78668 9530059J11Rik1 - up 393 LN only 9530059J11 gene 0.002208 5.482897 0.27642 3.45171 transient receptor potential cation channel, subfamily 1457164_at 277328 Trpa1 1 - up 393 LN only A, member 1 0.000111 9.180344 0.01771 3.048114 regulating synaptic membrane 1422809_at 116838 Rims2 1 - up 393 LN only exocytosis 2 0.001891 8.560424 0.13159 2.980501 glial cell line derived neurotrophic factor family receptor alpha 1433716_x_at 14586 Gfra2 1 - up 393 LN only 2 0.006868 30.88736 0.01066 2.811211 1446936_at --- --- 1 - up 393 LN only --- 0.007695 6.373955 0.11733 2.480287 zinc finger protein 1438742_at 320683 Zfp629 1 - up 393 LN only 629 0.002644 5.231855 0.38124 2.377016 phospholipase A2, 1426019_at 18786 Plaa 1 - up 393 LN only activating protein 0.008657 6.2364 0.12336 2.262117 1445314_at 14009 Etv1 1 - up 393 LN only ets variant gene 1 0.007224 3.643646 0.36434 2.01989 ciliary rootlet coiled- 1427338_at 230872 Crocc 1 - up 393 LN only coil, rootletin 0.002482 7.783242 0.49977 1.794171 expressed sequence 1436585_at 99463 BB182297 1 - up 393 -
Parent of Origin Effects on Quantitative Phenotypes in a Founder
bioRxiv preprint doi: https://doi.org/10.1101/150185; this version posted June 14, 2017. 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. 1 Title: Parent of Origin Effects on Quantitative Phenotypes in a Founder 2 Population. 3 4 Author list: 5 Sahar V. Mozaffari1,2*, Jeanne M. DeCara3, Sanjiv J. Shah4, Roberto M. Lang3, Dan L. 6 Nicolae1,2,3,5, Carole Ober1,2* 7 8 Affiliations 9 1 Department of Human Genetics, University of Chicago, Chicago, IL 60637 10 2 Committee on Genetics, Genomics, and Systems Biology, University of Chicago, 11 Chicago, IL 60637 12 3 Department of Medicine, University of Chicago, Chicago, IL 60637 13 4 Department of Medicine, Northwestern University Feinberg School of Medicine, 14 Chicago, IL 60611 15 5 Department of Statistics, University of Chicago, Chicago, IL 60637 16 17 Correspondence Emails 18 *smozaffari[at]uchicago.edu 19 *c-ober[at]genetics.uchicago.edu bioRxiv preprint doi: https://doi.org/10.1101/150185; this version posted June 14, 2017. 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. 20 ABSTRACT 21 The impact of the parental origin of associated alleles in GWAS has been largely 22 ignored. Yet sequence variants could affect traits differently depending on whether they 23 are inherited from the mother or the father. -
Bioinformatics Analysis of the Ribosomal Proteins, RPL27, Rpl37a and RPL41: 3-D Protein Modeling and Protein-Protein Interaction Prediction
International Journal of Bioscience, Biochemistry and Bioinformatics, Vol. 3, No. 1, January 2013 Bioinformatics Analysis of the Ribosomal Proteins, RPL27, RPL37a and RPL41: 3-D Protein Modeling and Protein-protein Interaction Prediction Stella L. L. Chan and Edmund U. H. Sim reason may be the unavailability of experimental structures Abstract—Ribosomal proteins (RPs) are constituents of due to difficulties in obtaining ribosome component ribosome important for protein biosynthesis but likely to have structures [8], [9]. extraribosomal functions. Many RPs are associated with various To overcome this problem, our study incorporated diseases and cancers. A previous study reported RPL27, RPL37a and RPL41 gene to be downregulated in bioinformatics approach to understand these three proteins. nasopharyngeal carcinoma (NPC) derived cell lines compared to Three-dimensional (3-D) protein models of these proteins their normal counterpart. However, their actual physiological was constructed and served as template to search for roles in organogenesis or tumorigenesis have not been properly structural neighbor. defined. In this paper, we report on the findings of structural By the assumption that close homologs or analogs almost prediction of these three genes and infer their interactions with always interact in the same way [10], interaction models of other proteins using structural neighbor prediction and molecular docking strategies. Our results revealed that RPL27 queried proteins can be extrapolated from known protein interact with SYNJ2 and UBC9. RPL27 is predicted to mediate behaviors of their structural neighbors with interacting RNA binding protein and deregulate sumolyation. RPL37a is partners. To strengthen our inferences, RPL models were also suggested to interact with CTNNB1, SCMH1 and ATBF1. -
Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
Table S1. 103 ferroptosis-related genes retrieved from the GeneCards. Gene Symbol Description Category GPX4 Glutathione Peroxidase 4 Protein Coding AIFM2 Apoptosis Inducing Factor Mitochondria Associated 2 Protein Coding TP53 Tumor Protein P53 Protein Coding ACSL4 Acyl-CoA Synthetase Long Chain Family Member 4 Protein Coding SLC7A11 Solute Carrier Family 7 Member 11 Protein Coding VDAC2 Voltage Dependent Anion Channel 2 Protein Coding VDAC3 Voltage Dependent Anion Channel 3 Protein Coding ATG5 Autophagy Related 5 Protein Coding ATG7 Autophagy Related 7 Protein Coding NCOA4 Nuclear Receptor Coactivator 4 Protein Coding HMOX1 Heme Oxygenase 1 Protein Coding SLC3A2 Solute Carrier Family 3 Member 2 Protein Coding ALOX15 Arachidonate 15-Lipoxygenase Protein Coding BECN1 Beclin 1 Protein Coding PRKAA1 Protein Kinase AMP-Activated Catalytic Subunit Alpha 1 Protein Coding SAT1 Spermidine/Spermine N1-Acetyltransferase 1 Protein Coding NF2 Neurofibromin 2 Protein Coding YAP1 Yes1 Associated Transcriptional Regulator Protein Coding FTH1 Ferritin Heavy Chain 1 Protein Coding TF Transferrin Protein Coding TFRC Transferrin Receptor Protein Coding FTL Ferritin Light Chain Protein Coding CYBB Cytochrome B-245 Beta Chain Protein Coding GSS Glutathione Synthetase Protein Coding CP Ceruloplasmin Protein Coding PRNP Prion Protein Protein Coding SLC11A2 Solute Carrier Family 11 Member 2 Protein Coding SLC40A1 Solute Carrier Family 40 Member 1 Protein Coding STEAP3 STEAP3 Metalloreductase Protein Coding ACSL1 Acyl-CoA Synthetase Long Chain Family Member 1 Protein -
Supplementary Materials Table of Contents
Supplementary Materials Cost-effectiveness of genetic and clinical predictors for choosing combined psychotherapy and pharmacotherapy in major depression Table of contents Supplementary Methods……………………………………………………………….. p. 1 Supplementary Table 1: genes included in the clinical-genetic predictive model……... p. 5 Supplementary Table 2: estimation of costs …………………………………………... p. 10 Supplementary Table 3: procedure used to calculate response and remission probabilities………………………………………………………………………………. p. 11 Supplementary Table 4: transition probabilities……………………………………...... p. 13 Supplementary Table 5: input for probabilistic sensitivity analysis …………………... p. 14 Supplementary Table 6: samples description…………………………………………... p. 16 Supplementary Table 7: transition probabilities in GENDEP and TRD2……………... p. 16 Supplementary Figure 1: ROC curves in the testing sample…………………………... p. 17 Supplementary Figure 2: health-state distribution of patients in each treatment strategy…………………………………………………………………………………… p. 18 Supplementary Figure 3: cost-effectiveness acceptability curves in GENDEP and TRD2…………………………………………………………………………………….. p. 19 References……………………………………………………………………………….. p. 19 Supplementary Methods Predictive models The predictive models used in this study were developed in a previous paper (Fabbri et al., 2020) and the corresponding ROC curves are shown in Supplementary Figure 1. Each predictive model was developed in a training set of patients treated with serotonergic antidepressants (n=269) and the reported ROC curves were obtained by -
The Human RNA-Binding Proteome and Its Dynamics During Arsenite- Induced Translational Arrest
bioRxiv preprint doi: https://doi.org/10.1101/329995; this version posted May 30, 2018. 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. The Human RNA-Binding Proteome and Its Dynamics During Arsenite- Induced Translational Arrest Jakob Trendel1,2, Thomas Schwarzl2, Ananth Prakash3, Alex Bateman3, Matthias W. Hentze2, Jeroen Krijgsveld1,4* 1 German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, Heidelberg, Germany 2 European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, Heidelberg, Germany 3 European Molecular Biology Laboratory, European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK 4 Excellence Cluster CellNetworks, Heidelberg University, 69120 Heidelberg, Germany * Corresponding author Jeroen Krijgsveld, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany. Email [email protected]; tel +49-6221- 421720 bioRxiv preprint doi: https://doi.org/10.1101/329995; this version posted May 30, 2018. 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. Summary Proteins and RNA functionally and physically intersect in multiple biological processes, however, currently no universal method is available to purify protein-RNA complexes. Here we introduce XRNAX, a method for the generic purification of protein-crosslinked RNA, and demonstrate its versatility to study the composition and dynamics of protein-RNA interactions by various transcriptomic and proteomic approaches.