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  • 1
    Publication Date: 2008-11-04
    Description: Protein-RNA interactions have critical roles in all aspects of gene expression. However, applying biochemical methods to understand such interactions in living tissues has been challenging. Here we develop a genome-wide means of mapping protein-RNA binding sites in vivo, by high-throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP). HITS-CLIP analysis of the neuron-specific splicing factor Nova revealed extremely reproducible RNA-binding maps in multiple mouse brains. These maps provide genome-wide in vivo biochemical footprints confirming the previous prediction that the position of Nova binding determines the outcome of alternative splicing; moreover, they are sufficiently powerful to predict Nova action de novo. HITS-CLIP revealed a large number of Nova-RNA interactions in 3' untranslated regions, leading to the discovery that Nova regulates alternative polyadenylation in the brain. HITS-CLIP, therefore, provides a robust, unbiased means to identify functional protein-RNA interactions in vivo.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2597294/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2597294/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Licatalosi, Donny D -- Mele, Aldo -- Fak, John J -- Ule, Jernej -- Kayikci, Melis -- Chi, Sung Wook -- Clark, Tyson A -- Schweitzer, Anthony C -- Blume, John E -- Wang, Xuning -- Darnell, Jennifer C -- Darnell, Robert B -- MC_U105185858/Medical Research Council/United Kingdom -- R01 NS034389/NS/NINDS NIH HHS/ -- R01 NS034389-09/NS/NINDS NIH HHS/ -- R01 NS034389-10/NS/NINDS NIH HHS/ -- R01 NS034389-11/NS/NINDS NIH HHS/ -- R01 NS034389-12/NS/NINDS NIH HHS/ -- R01 NS034389-13A1/NS/NINDS NIH HHS/ -- R01 NS040955/NS/NINDS NIH HHS/ -- R01 NS040955-05/NS/NINDS NIH HHS/ -- R01 NS34389/NS/NINDS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2008 Nov 27;456(7221):464-9. doi: 10.1038/nature07488. Epub 2008 Nov 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Molecular Neuro-Oncology and Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, New York 10021, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18978773" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing/*genetics ; Animals ; Antigens, Neoplasm/genetics/*metabolism ; Cell Line ; Cross-Linking Reagents/chemistry/metabolism ; Exons/genetics ; Genome/*genetics ; Genomics ; Humans ; Immunoprecipitation ; Mice ; Neocortex/*cytology ; Neurons/*metabolism ; Organ Specificity ; Polyadenylation/genetics ; RNA, Messenger/genetics/*metabolism ; RNA-Binding Proteins/genetics/*metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2009-06-19
    Description: MicroRNAs (miRNAs) have critical roles in the regulation of gene expression; however, as miRNA activity requires base pairing with only 6-8 nucleotides of messenger RNA, predicting target mRNAs is a major challenge. Recently, high-throughput sequencing of RNAs isolated by crosslinking immunoprecipitation (HITS-CLIP) has identified functional protein-RNA interaction sites. Here we use HITS-CLIP to covalently crosslink native argonaute (Ago, also called Eif2c) protein-RNA complexes in mouse brain. This produced two simultaneous data sets-Ago-miRNA and Ago-mRNA binding sites-that were combined with bioinformatic analysis to identify interaction sites between miRNA and target mRNA. We validated genome-wide interaction maps for miR-124, and generated additional maps for the 20 most abundant miRNAs present in P13 mouse brain. Ago HITS-CLIP provides a general platform for exploring the specificity and range of miRNA action in vivo, and identifies precise sequences for targeting clinically relevant miRNA-mRNA interactions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2733940/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2733940/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chi, Sung Wook -- Zang, Julie B -- Mele, Aldo -- Darnell, Robert B -- R01 NS034389/NS/NINDS NIH HHS/ -- R01 NS034389-14/NS/NINDS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2009 Jul 23;460(7254):479-86. doi: 10.1038/nature08170. Epub 2009 Jun 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Molecular Neuro-Oncology and Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, New York 10021, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19536157" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cross-Linking Reagents/chemistry/metabolism ; *Gene Expression Regulation ; HeLa Cells ; Humans ; Immunoprecipitation/*methods ; Mice ; MicroRNAs/*metabolism ; Protein Interaction Mapping ; Reproducibility of Results
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2012-04-03
    Description: IL-17-producing CD4+ T helper cells (TH17) have been extensively investigated in mouse models of autoimmunity. However, the requirements for differentiation and the properties of pathogen-induced human TH17 cells remain poorly defined. Using an approach that combines the in vitro priming of naive T cells with the ex vivo analysis of memory T cells, we describe here two types of human TH17 cells with distinct effector function and differentiation requirements. Candida albicans-specific TH17 cells produced IL-17 and IFN-gamma, but no IL-10, whereas Staphylococcus aureus-specific TH17 cells produced IL-17 and could produce IL-10 upon restimulation. IL-6, IL-23 and IL-1beta contributed to TH17 differentiation induced by both pathogens, but IL-1beta was essential in C. albicans-induced TH17 differentiation to counteract the inhibitory activity of IL-12 and to prime IL-17/IFN-gamma double-producing cells. In addition, IL-1beta inhibited IL-10 production in differentiating and in memory TH17 cells, whereas blockade of IL-1beta in vivo led to increased IL-10 production by memory TH17 cells. We also show that, after restimulation, TH17 cells transiently downregulated IL-17 production through a mechanism that involved IL-2-induced activation of STAT5 and decreased expression of ROR-gammat. Taken together these findings demonstrate that by eliciting different cytokines C. albicans and S. aureus prime TH17 cells that produce either IFN-gamma or IL-10, and identify IL-1beta and IL-2 as pro- and anti-inflammatory regulators of TH17 cells both at priming and in the effector phase.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zielinski, Christina E -- Mele, Federico -- Aschenbrenner, Dominik -- Jarrossay, David -- Ronchi, Francesca -- Gattorno, Marco -- Monticelli, Silvia -- Lanzavecchia, Antonio -- Sallusto, Federica -- England -- Nature. 2012 Apr 26;484(7395):514-8. doi: 10.1038/nature10957.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute for Research in Biomedicine, Via Vincenzo Vela 6, 6500 Bellinzona, Switzerland. christina.zielinski@charite.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22466287" target="_blank"〉PubMed〈/a〉
    Keywords: Antigen Presentation/immunology ; Candida albicans/*immunology ; Cell Differentiation ; Down-Regulation ; Humans ; Immunologic Memory/immunology ; Interferon-gamma/*biosynthesis ; Interleukin-10/*biosynthesis ; Interleukin-17/biosynthesis ; Interleukin-1beta/*immunology ; Interleukin-2/antagonists & inhibitors/immunology ; Lymphocyte Activation ; Nuclear Receptor Subfamily 1, Group F, Member 3/genetics/metabolism ; STAT5 Transcription Factor/metabolism ; Staphylococcus aureus/*immunology ; Th17 Cells/cytology/*immunology/*metabolism/secretion ; Tumor Necrosis Factor-alpha/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2013-07-05
    Description: Most great ape genetic variation remains uncharacterized; however, its study is critical for understanding population history, recombination, selection and susceptibility to disease. Here we sequence to high coverage a total of 79 wild- and captive-born individuals representing all six great ape species and seven subspecies and report 88.8 million single nucleotide polymorphisms. Our analysis provides support for genetically distinct populations within each species, signals of gene flow, and the split of common chimpanzees into two distinct groups: Nigeria-Cameroon/western and central/eastern populations. We find extensive inbreeding in almost all wild populations, with eastern gorillas being the most extreme. Inferred effective population sizes have varied radically over time in different lineages and this appears to have a profound effect on the genetic diversity at, or close to, genes in almost all species. We discover and assign 1,982 loss-of-function variants throughout the human and great ape lineages, determining that the rate of gene loss has not been different in the human branch compared to other internal branches in the great ape phylogeny. This comprehensive catalogue of great ape genome diversity provides a framework for understanding evolution and a resource for more effective management of wild and captive great ape populations.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3822165/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3822165/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Prado-Martinez, Javier -- Sudmant, Peter H -- Kidd, Jeffrey M -- Li, Heng -- Kelley, Joanna L -- Lorente-Galdos, Belen -- Veeramah, Krishna R -- Woerner, August E -- O'Connor, Timothy D -- Santpere, Gabriel -- Cagan, Alexander -- Theunert, Christoph -- Casals, Ferran -- Laayouni, Hafid -- Munch, Kasper -- Hobolth, Asger -- Halager, Anders E -- Malig, Maika -- Hernandez-Rodriguez, Jessica -- Hernando-Herraez, Irene -- Prufer, Kay -- Pybus, Marc -- Johnstone, Laurel -- Lachmann, Michael -- Alkan, Can -- Twigg, Dorina -- Petit, Natalia -- Baker, Carl -- Hormozdiari, Fereydoun -- Fernandez-Callejo, Marcos -- Dabad, Marc -- Wilson, Michael L -- Stevison, Laurie -- Camprubi, Cristina -- Carvalho, Tiago -- Ruiz-Herrera, Aurora -- Vives, Laura -- Mele, Marta -- Abello, Teresa -- Kondova, Ivanela -- Bontrop, Ronald E -- Pusey, Anne -- Lankester, Felix -- Kiyang, John A -- Bergl, Richard A -- Lonsdorf, Elizabeth -- Myers, Simon -- Ventura, Mario -- Gagneux, Pascal -- Comas, David -- Siegismund, Hans -- Blanc, Julie -- Agueda-Calpena, Lidia -- Gut, Marta -- Fulton, Lucinda -- Tishkoff, Sarah A -- Mullikin, James C -- Wilson, Richard K -- Gut, Ivo G -- Gonder, Mary Katherine -- Ryder, Oliver A -- Hahn, Beatrice H -- Navarro, Arcadi -- Akey, Joshua M -- Bertranpetit, Jaume -- Reich, David -- Mailund, Thomas -- Schierup, Mikkel H -- Hvilsom, Christina -- Andres, Aida M -- Wall, Jeffrey D -- Bustamante, Carlos D -- Hammer, Michael F -- Eichler, Evan E -- Marques-Bonet, Tomas -- 090532/Wellcome Trust/United Kingdom -- 260372/European Research Council/International -- DP1 ES022577/ES/NIEHS NIH HHS/ -- DP1ES022577-04/DP/NCCDPHP CDC HHS/ -- GM100233/GM/NIGMS NIH HHS/ -- HG002385/HG/NHGRI NIH HHS/ -- R01 GM095882/GM/NIGMS NIH HHS/ -- R01 GM100233/GM/NIGMS NIH HHS/ -- R01 HG002385/HG/NHGRI NIH HHS/ -- R01_HG005226/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2013 Jul 25;499(7459):471-5. doi: 10.1038/nature12228. Epub 2013 Jul 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institut de Biologia Evolutiva, CSIC-Universitat Pompeu Fabra, PRBB, Doctor Aiguader 88, Barcelona, Catalonia 08003, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23823723" target="_blank"〉PubMed〈/a〉
    Keywords: Africa ; Animals ; Animals, Wild/genetics ; Animals, Zoo/genetics ; Asia, Southeastern ; Evolution, Molecular ; Gene Flow/genetics ; *Genetic Variation ; Genetics, Population ; Genome/genetics ; Gorilla gorilla/classification/genetics ; Hominidae/classification/*genetics ; Humans ; Inbreeding ; Pan paniscus/classification/genetics ; Pan troglodytes/classification/genetics ; Phylogeny ; Polymorphism, Single Nucleotide/genetics ; Population Density
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2010-06-19
    Description: The control of RNA alternative splicing is critical for generating biological diversity. Despite emerging genome-wide technologies to study RNA complexity, reliable and comprehensive RNA-regulatory networks have not been defined. Here, we used Bayesian networks to probabilistically model diverse data sets and predict the target networks of specific regulators. We applied this strategy to identify approximately 700 alternative splicing events directly regulated by the neuron-specific factor Nova in the mouse brain, integrating RNA-binding data, splicing microarray data, Nova-binding motifs, and evolutionary signatures. The resulting integrative network revealed combinatorial regulation by Nova and the neuronal splicing factor Fox, interplay between phosphorylation and splicing, and potential links to neurologic disease. Thus, we have developed a general approach to understanding mammalian RNA regulation at the systems level.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412410/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412410/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Chaolin -- Frias, Maria A -- Mele, Aldo -- Ruggiu, Matteo -- Eom, Taesun -- Marney, Christina B -- Wang, Huidong -- Licatalosi, Donny D -- Fak, John J -- Darnell, Robert B -- K99 GM095713/GM/NIGMS NIH HHS/ -- NS34389/NS/NINDS NIH HHS/ -- UL1 RR024143/RR/NCRR NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2010 Jul 23;329(5990):439-43. doi: 10.1126/science.1191150. Epub 2010 Jun 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Molecular Neuro-Oncology, Howard Hughes Medical Institute, The Rockefeller University, 1230 York Avenue, New York, NY 10021, USA. czhang@rockefeller.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20558669" target="_blank"〉PubMed〈/a〉
    Keywords: *Alternative Splicing ; Animals ; Antigens, Neoplasm/*metabolism ; Artificial Intelligence ; Bayes Theorem ; Binding Sites ; Brain/*metabolism ; Cell Line ; Computational Biology ; Evolution, Molecular ; Exons ; *Gene Regulatory Networks ; Humans ; Introns ; Mice ; Models, Genetic ; Models, Statistical ; Nerve Tissue Proteins/*metabolism ; Nervous System Diseases/genetics ; Oligonucleotide Array Sequence Analysis ; Phosphorylation ; Protein Binding ; Proteins/genetics/metabolism ; RNA/metabolism ; RNA-Binding Proteins/*metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2015-05-09
    Description: Transcriptional regulation and posttranscriptional processing underlie many cellular and organismal phenotypes. We used RNA sequence data generated by Genotype-Tissue Expression (GTEx) project to investigate the patterns of transcriptome variation across individuals and tissues. Tissues exhibit characteristic transcriptional signatures that show stability in postmortem samples. These signatures are dominated by a relatively small number of genes-which is most clearly seen in blood-though few are exclusive to a particular tissue and vary more across tissues than individuals. Genes exhibiting high interindividual expression variation include disease candidates associated with sex, ethnicity, and age. Primary transcription is the major driver of cellular specificity, with splicing playing mostly a complementary role; except for the brain, which exhibits a more divergent splicing program. Variation in splicing, despite its stochasticity, may play in contrast a comparatively greater role in defining individual phenotypes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mele, Marta -- Ferreira, Pedro G -- Reverter, Ferran -- DeLuca, David S -- Monlong, Jean -- Sammeth, Michael -- Young, Taylor R -- Goldmann, Jakob M -- Pervouchine, Dmitri D -- Sullivan, Timothy J -- Johnson, Rory -- Segre, Ayellet V -- Djebali, Sarah -- Niarchou, Anastasia -- GTEx Consortium -- Wright, Fred A -- Lappalainen, Tuuli -- Calvo, Miquel -- Getz, Gad -- Dermitzakis, Emmanouil T -- Ardlie, Kristin G -- Guigo, Roderic -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- R01 DA006227-17/DA/NIDA NIH HHS/ -- R01 MH090936/MH/NIMH NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):660-5. doi: 10.1126/science.aaa0355.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. McGill University, Montreal, Canada. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Radboud University, Nijmegen, Netherlands. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Broad Institute of MIT and Harvard, Cambridge, MA, USA. McGill University, Montreal, Canada. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. Radboud University, Nijmegen, Netherlands. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. North Carolina State University, Raleigh, NC, USA. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. ; North Carolina State University, Raleigh, NC, USA. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. ; Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. kardlie@broadinstitute.org roderic.guigo@crg.cat. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. kardlie@broadinstitute.org roderic.guigo@crg.cat.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954002" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing ; Female ; Gene Expression Profiling ; *Gene Expression Regulation ; Genome, Human/*genetics ; Humans ; Male ; Organ Specificity/genetics ; Phenotype ; Polymorphism, Single Nucleotide ; Sequence Analysis, RNA ; Sex Factors ; *Transcriptome
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    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2015-07-15
    Description: Human inborn errors of immunity mediated by the cytokines interleukin-17A and interleukin-17F (IL-17A/F) underlie mucocutaneous candidiasis, whereas inborn errors of interferon-gamma (IFN-gamma) immunity underlie mycobacterial disease. We report the discovery of bi-allelic RORC loss-of-function mutations in seven individuals from three kindreds of different ethnic origins with both candidiasis and mycobacteriosis. The lack of functional RORgamma and RORgammaT isoforms resulted in the absence of IL-17A/F-producing T cells in these individuals, probably accounting for their chronic candidiasis. Unexpectedly, leukocytes from RORgamma- and RORgammaT-deficient individuals also displayed an impaired IFN-gamma response to Mycobacterium. This principally reflected profoundly defective IFN-gamma production by circulating gammadelta T cells and CD4(+)CCR6(+)CXCR3(+) alphabeta T cells. In humans, both mucocutaneous immunity to Candida and systemic immunity to Mycobacterium require RORgamma, RORgammaT, or both.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4668938/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4668938/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Okada, Satoshi -- Markle, Janet G -- Deenick, Elissa K -- Mele, Federico -- Averbuch, Dina -- Lagos, Macarena -- Alzahrani, Mohammed -- Al-Muhsen, Saleh -- Halwani, Rabih -- Ma, Cindy S -- Wong, Natalie -- Soudais, Claire -- Henderson, Lauren A -- Marzouqa, Hiyam -- Shamma, Jamal -- Gonzalez, Marcela -- Martinez-Barricarte, Ruben -- Okada, Chizuru -- Avery, Danielle T -- Latorre, Daniela -- Deswarte, Caroline -- Jabot-Hanin, Fabienne -- Torrado, Egidio -- Fountain, Jeffrey -- Belkadi, Aziz -- Itan, Yuval -- Boisson, Bertrand -- Migaud, Melanie -- Arlehamn, Cecilia S Lindestam -- Sette, Alessandro -- Breton, Sylvain -- McCluskey, James -- Rossjohn, Jamie -- de Villartay, Jean-Pierre -- Moshous, Despina -- Hambleton, Sophie -- Latour, Sylvain -- Arkwright, Peter D -- Picard, Capucine -- Lantz, Olivier -- Engelhard, Dan -- Kobayashi, Masao -- Abel, Laurent -- Cooper, Andrea M -- Notarangelo, Luigi D -- Boisson-Dupuis, Stephanie -- Puel, Anne -- Sallusto, Federica -- Bustamante, Jacinta -- Tangye, Stuart G -- Casanova, Jean-Laurent -- 8UL1TR000043/TR/NCATS NIH HHS/ -- HHSN272200900044C/AI/NIAID NIH HHS/ -- HHSN272200900044C/PHS HHS/ -- R37 AI095983/AI/NIAID NIH HHS/ -- R37AI095983/AI/NIAID NIH HHS/ -- T32 AI007512/AI/NIAID NIH HHS/ -- Canadian Institutes of Health Research/Canada -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Aug 7;349(6248):606-13. doi: 10.1126/science.aaa4282. Epub 2015 Jul 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065, USA. Department of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan. ; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065, USA. jmarkle@rockefeller.edu jean-laurent.casanova@rockefeller.edu. ; Immunology Division, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia. St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia. ; Institute for Research in Biomedicine, University of Italian Switzerland, Bellinzona, Switzerland. ; Department of Pediatrics, Hadassah University Hospital, Jerusalem, Israel. ; Department of Immunology, School of Medicine, Universidad de Valparaiso, Santiago, Chile. Department of Pediatrics, Padre Hurtado Hospital and Clinica Alemana, Santiago, Chile. ; Department of Pediatrics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia. ; Department of Pediatrics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia. Department of Pediatrics, Prince Naif Center for Immunology Research, College of Medicine, King Saud University, Riyadh, Saudi Arabia. ; Department of Pediatrics, Prince Naif Center for Immunology Research, College of Medicine, King Saud University, Riyadh, Saudi Arabia. ; Immunology Division, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia. ; Institut Curie, INSERM U932, Paris, France. ; Division of Immunology, Boston Children's Hospital, Boston, MA 02115, USA. ; Caritas Baby Hospital, Post Office Box 11535, Jerusalem, Israel. ; Department of Immunology, School of Medicine, Universidad de Valparaiso, Santiago, Chile. ; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065, USA. ; Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR 1163, Paris, France. Paris Descartes University, Imagine Institute, Paris, France. ; Trudeau Institute, Saranac Lake, NY 12983, USA. ; La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037, USA. ; Department of Radiology, Assistance Publique-Hopitaux de Paris (AP-HP), Necker Hospital for Sick Children, Paris, France. ; Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, Victoria, Australia. ; Department of Biochemistry and Molecular Biology, School of Biomedical Sciences, Monash University, Clayton, Victoria, Australia. Australian Research Council Centre of Excellence for Advanced Molecular Imaging, Monash University, Clayton, Victoria, Australia. Institute of Infection and Immunity, Cardiff University, School of Medicine, Heath Park, Cardiff CF14 4XN, UK. ; Laboratoire Dynamique du Genome et Systeme Immunitaire, INSERM UMR 1163, Universite Paris Descartes-Sorbonne Paris Cite, Imagine Institute, Paris, France. ; Laboratoire Dynamique du Genome et Systeme Immunitaire, INSERM UMR 1163, Universite Paris Descartes-Sorbonne Paris Cite, Imagine Institute, Paris, France. Pediatric Hematology-Immunology Unit, AP-HP, Necker Hospital for Sick Children, Paris, France. ; Institute of Cellular Medicine, Newcastle University and Great North Children's Hospital, Newcastle upon Tyne NE4 6BE, UK. ; Laboratory of Lymphocyte Activation and Susceptibility to EBV Infection, INSERM UMR 1163, Universite Paris Descartes-Sorbonne Paris Cite, Imagine Institute, Paris, France. ; Department of Paediatric Allergy Immunology, University of Manchester, Royal Manchester Children's Hospital, Manchester, UK. ; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065, USA. Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR 1163, Paris, France. Paris Descartes University, Imagine Institute, Paris, France. Pediatric Hematology-Immunology Unit, AP-HP, Necker Hospital for Sick Children, Paris, France. Center for the Study of Primary Immunodeficiencies, AP-HP, Necker Hospital for Sick Children, Paris, France. ; Department of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan. ; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065, USA. Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR 1163, Paris, France. Paris Descartes University, Imagine Institute, Paris, France. ; Division of Immunology, Boston Children's Hospital, Boston, MA 02115, USA. Manton Center for Orphan Disease Research, Children's Hospital, Boston, MA 02115, USA. ; Institute for Research in Biomedicine, University of Italian Switzerland, Bellinzona, Switzerland. Center of Medical Immunology, Institute for Research in Biomedicine, University of Italian Switzerland, Bellinzona, Switzerland. ; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065, USA. Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR 1163, Paris, France. Paris Descartes University, Imagine Institute, Paris, France. Center for the Study of Primary Immunodeficiencies, AP-HP, Necker Hospital for Sick Children, Paris, France. ; St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065, USA. Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM UMR 1163, Paris, France. Paris Descartes University, Imagine Institute, Paris, France. Pediatric Hematology-Immunology Unit, AP-HP, Necker Hospital for Sick Children, Paris, France. Howard Hughes Medical Institute, New York, NY 10065, USA. jmarkle@rockefeller.edu jean-laurent.casanova@rockefeller.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26160376" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Candida albicans/*immunology ; Candidiasis, Chronic Mucocutaneous/complications/*genetics/immunology ; Cattle ; Child ; Child, Preschool ; DNA Mutational Analysis ; Exome/genetics ; Female ; Gene Rearrangement, alpha-Chain T-Cell Antigen Receptor ; Humans ; Immunity/*genetics ; Interferon-gamma/immunology ; Interleukin-17/immunology ; Mice ; Mutation ; Mycobacterium bovis/immunology/isolation & purification ; Mycobacterium tuberculosis/immunology/isolation & purification ; Nuclear Receptor Subfamily 1, Group F, Member 3/*genetics ; Pedigree ; Receptors, Antigen, T-Cell, alpha-beta/genetics/immunology ; Receptors, Antigen, T-Cell, gamma-delta/genetics/immunology ; Severe Combined Immunodeficiency/*genetics ; T-Lymphocytes/immunology ; Thymus Gland/abnormalities/immunology ; Tuberculosis, Bovine/*genetics/immunology ; Tuberculosis, Pulmonary/*genetics/immunology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2014-12-06
    Description: Distinct types of CD4(+) T cells protect the host against different classes of pathogens. However, it is unclear whether a given pathogen induces a single type of polarized T cell. By combining antigenic stimulation and T cell receptor deep sequencing, we found that human pathogen- and vaccine-specific T helper 1 (T(H)1), T(H)2, and T(H)17 memory cells have different frequencies but comparable diversity and comprise not only clones polarized toward a single fate, but also clones whose progeny have acquired multiple fates. Single naive T cells primed by a pathogen in vitro could also give rise to multiple fates. Our results unravel an unexpected degree of interclonal and intraclonal functional heterogeneity of the human T cell response and suggest that polarized responses result from preferential expansion rather than priming.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Becattini, Simone -- Latorre, Daniela -- Mele, Federico -- Foglierini, Mathilde -- De Gregorio, Corinne -- Cassotta, Antonino -- Fernandez, Blanca -- Kelderman, Sander -- Schumacher, Ton N -- Corti, Davide -- Lanzavecchia, Antonio -- Sallusto, Federica -- New York, N.Y. -- Science. 2015 Jan 23;347(6220):400-6. doi: 10.1126/science.1260668. Epub 2014 Dec 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute for Research in Biomedicine, Bellinzona, Universita della Svizzera Italiana, Lugano, Switzerland. Institute of Microbiology, ETH Zurich, Zurich, Switzerland. ; Institute for Research in Biomedicine, Bellinzona, Universita della Svizzera Italiana, Lugano, Switzerland. ; Division of Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands. ; Institute for Research in Biomedicine, Bellinzona, Universita della Svizzera Italiana, Lugano, Switzerland. federica.sallusto@irb.usi.ch.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25477212" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; CD4-Positive T-Lymphocytes/*immunology ; Candida albicans/*immunology ; Cells, Cultured ; Clone Cells ; High-Throughput Nucleotide Sequencing ; Host-Pathogen Interactions/*immunology ; Humans ; *Immunologic Memory ; Lymphocyte Activation ; Molecular Sequence Data ; Mycobacterium tuberculosis/*immunology ; Receptors, Antigen, T-Cell/genetics ; T-Lymphocyte Subsets/*immunology ; Th1 Cells/immunology ; Th17 Cells/immunology ; Th2 Cells/immunology ; Vaccines/*immunology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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