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Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Targeting Toxoplasma Gondii CPSF3 As a New Approach to Control Toxoplasmosis
Published online: February 1, 2017 Research Article Targeting Toxoplasma gondii CPSF3 as a new approach to control toxoplasmosis Andrés Palencia1,2,*,† , Alexandre Bougdour1,**,† , Marie-Pierre Brenier-Pinchart1, Bastien Touquet1, Rose-Laurence Bertini1, Cristina Sensi2, Gabrielle Gay1, Julien Vollaire3, Véronique Josserand3, Eric Easom4, Yvonne R Freund4, Hervé Pelloux1, Philip J Rosenthal5, Stephen Cusack2 & Mohamed-Ali Hakimi1,*** Abstract Introduction Toxoplasma gondii is an important food and waterborne Toxoplasma gondii chronically infects about 30–50% of the pathogen causing toxoplasmosis, a potentially severe disease in human population (Pappas et al, 2009; Flegr et al, 2014; Parlog immunocompromised or congenitally infected humans. Available et al, 2015). Toxoplasmosis is usually an unapparent or mild therapeutic agents are limited by suboptimal efficacy and disease in immunocompetent individuals, but it is a serious threat frequent side effects that can lead to treatment discontinuation. in immunocompromised patients, who can experience lethal or Here we report that the benzoxaborole AN3661 had potent chronic cardiac, pulmonary or cerebral pathologies. Moreover, in vitro activity against T. gondii. Parasites selected to be resis- congenital toxoplasmosis can cause a range of problems including tant to AN3661 had mutations in TgCPSF3, which encodes a foetal malformations and retinochoroiditis. Current therapies for homologue of cleavage and polyadenylation specificity factor toxoplasmosis are reasonably effective, but they require long subunit 3 (CPSF-73 or CPSF3), an endonuclease involved in mRNA durations of treatment, often with toxic side effects (Farthing processing in eukaryotes. Point mutations in TgCPSF3 introduced et al, 1992; Fung & Kirschenbaum, 1996), underlining the need into wild-type parasites using the CRISPR/Cas9 system recapitu- for new classes of drugs to treat this infection (Neville et al, lated the resistance phenotype. -
Downloaded the “Top Edge” Version
bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 4.0 International license. 1 Drosophila models of pathogenic copy-number variant genes show global and 2 non-neuronal defects during development 3 Short title: Non-neuronal defects of fly homologs of CNV genes 4 Tanzeen Yusuff1,4, Matthew Jensen1,4, Sneha Yennawar1,4, Lucilla Pizzo1, Siddharth 5 Karthikeyan1, Dagny J. Gould1, Avik Sarker1, Yurika Matsui1,2, Janani Iyer1, Zhi-Chun Lai1,2, 6 and Santhosh Girirajan1,3* 7 8 1. Department of Biochemistry and Molecular Biology, Pennsylvania State University, 9 University Park, PA 16802 10 2. Department of Biology, Pennsylvania State University, University Park, PA 16802 11 3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802 12 4 contributed equally to work 13 14 *Correspondence: 15 Santhosh Girirajan, MBBS, PhD 16 205A Life Sciences Building 17 Pennsylvania State University 18 University Park, PA 16802 19 E-mail: [email protected] 20 Phone: 814-865-0674 21 1 bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 4.0 International license. 22 ABSTRACT 23 While rare pathogenic copy-number variants (CNVs) are associated with both neuronal and non- 24 neuronal phenotypes, functional studies evaluating these regions have focused on the molecular 25 basis of neuronal defects. -
The Landscape of Human Mutually Exclusive Splicing
bioRxiv preprint doi: https://doi.org/10.1101/133215; this version posted May 2, 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-ND 4.0 International license. The landscape of human mutually exclusive splicing Klas Hatje1,2,#,*, Ramon O. Vidal2,*, Raza-Ur Rahman2, Dominic Simm1,3, Björn Hammesfahr1,$, Orr Shomroni2, Stefan Bonn2§ & Martin Kollmar1§ 1 Group of Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany 2 Group of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany 3 Theoretical Computer Science and Algorithmic Methods, Institute of Computer Science, Georg-August-University Göttingen, Germany § Corresponding authors # Current address: Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland $ Current address: Research and Development - Data Management (RD-DM), KWS SAAT SE, Einbeck, Germany * These authors contributed equally E-mail addresses: KH: [email protected], RV: [email protected], RR: [email protected], DS: [email protected], BH: [email protected], OS: [email protected], SB: [email protected], MK: [email protected] - 1 - bioRxiv preprint doi: https://doi.org/10.1101/133215; this version posted May 2, 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. -
Antisense Oligonucleotide-Based Therapeutic Against Menin for Triple-Negative Breast Cancer Treatment
biomedicines Article Antisense Oligonucleotide-Based Therapeutic against Menin for Triple-Negative Breast Cancer Treatment Dang Tan Nguyen 1,†, Thi Khanh Le 1,2,† , Clément Paris 1,†, Chaïma Cherif 1 , Stéphane Audebert 3 , Sandra Oluchi Udu-Ituma 1,Sébastien Benizri 4 , Philippe Barthélémy 4 , François Bertucci 1, David Taïeb 1,5 and Palma Rocchi 1,* 1 Predictive Oncology Laboratory, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm UMR 1068, CNRS UMR 7258, Institut Paoli-Calmettes, Aix-Marseille University, 27 Bd. Leï Roure, 13273 Marseille, France; [email protected] (D.T.N.); [email protected] (T.K.L.); [email protected] (C.P.); [email protected] (C.C.); [email protected] (S.O.U.-I.); [email protected] (F.B.); [email protected] (D.T.) 2 Department of Life Science, University of Science and Technology of Hanoi (USTH), Hanoi 000084, Vietnam 3 Marseille Protéomique, Centre de Recherche en Cancérologie de Marseille, INSERM, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, 13009 Marseille, France; [email protected] 4 ARNA Laboratory, INSERM U1212, CNRS UMR 5320, University of Bordeaux, 33076 Bordeaux, France; [email protected] (S.B.); [email protected] (P.B.) 5 Biophysics and Nuclear Medicine Department, La Timone University Hospital, European Center for Research in Medical Imaging, Aix-Marseille University, 13005 Marseille, France * Correspondence: [email protected]; Tel.: +33-626-941-287 † These authors contributed equally. Citation: Nguyen, D.T.; Le, T.K.; Paris, C.; Cherif, C.; Audebert, S.; Abstract: The tumor suppressor menin has dual functions, acting either as a tumor suppressor or Oluchi Udu-Ituma, S.; Benizri, S.; as an oncogene/oncoprotein, depending on the oncological context. -
Overexpressed HSF1 Cancer Signature Genes Cluster in Human Chromosome 8Q Christopher Q
Zhang et al. Human Genomics (2017) 11:35 DOI 10.1186/s40246-017-0131-5 PRIMARY RESEARCH Open Access Overexpressed HSF1 cancer signature genes cluster in human chromosome 8q Christopher Q. Zhang1,4, Heinric Williams3,4, Thomas L. Prince3,4† and Eric S. Ho1,2*† Abstract Background: HSF1 (heat shock factor 1) is a transcription factor that is found to facilitate malignant cancer development and proliferation. In cancer cells, HSF1 mediates a set of genes distinct from heat shock that contributes to malignancy. This set of genes is known as the HSF1 Cancer Signature genes or simply HSF1-CanSig genes. HSF1-CanSig genes function and operate differently than typical cancer-causing genes, yet it is involved in fundamental oncogenic processes. Results: By utilizing expression data from 9241 cancer patients, we identified that human chromosome 8q21-24 is a location hotspot for the most frequently overexpressed HSF1-CanSig genes. Intriguingly, the strength of the HSF1 cancer program correlates with the number of overexpressed HSF1-CanSig genes in 8q, illuminating the essential role of HSF1 in mediating gene expression in different cancers. Chromosome 8q21-24 is found under selective pressure in preserving gene order as it exhibits strong synteny among human, mouse, rat, and bovine, although the biological significance remains unknown. Statistical modeling, hierarchical clustering, and gene ontology-based pathway analyses indicate crosstalk between HSF1-mediated responses and pre-mRNA 3′ processing in cancers. Conclusions: Our results confirm the unique role of chromosome 8q mediated by the master regulator HSF1 in cancer cases. Additionally, this study highlights the connection between cellular processes triggered by HSF1 and pre-mRNA 3′ processing in cancers. -
Extensive Alternative Polyadenylation During Zebrafish Development
Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Extensive alternative polyadenylation during zebrafish development Igor Ulitsky1,2,3, Alena Shkumatava1,2,3, Calvin H. Jan1,2,3,4, Alexander O. Subtelny1,2,3, David Koppstein1,2,3, George Bell1, Hazel Sive1,3, David P. Bartel1,2,3,* 1 Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA. 2 Howard Hughes Medical Institute 3 Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. 4 Present address: Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco and California Institute for Quantitative Biosciences, San Francisco, California 94158, USA. * Corresponding author Running title: alternative polyadenylation in zebrafish Keywords: Cleavage and polyadenylation, Alterative polyadenylation, Maternal to zygotic transition, Zebrafish, 3P-seq, MicroRNAs 1 Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract The post-transcriptional fate of messenger RNAs (mRNAs) is largely dictated by their 3′ untranslated regions (3′UTRs), which are defined by cleavage and polyadenylation (CPA) of pre-mRNAs. We used poly(A)-position profiling by sequencing (3P-seq) to map poly(A) sites at eight developmental stages and tissues in the zebrafish. Analysis of over 60 million 3P-seq reads substantially increased and improved existing 3′UTR annotations, resulting in confidently identified 3′UTRs for more than 79% of the annotated protein-coding genes in zebrafish. mRNAs from most zebrafish genes undergo alternative CPA, with those from more than a thousand genes using different dominant 3′UTRs at different stages. -
Development of Novel Analysis and Data Integration Systems to Understand Human Gene Regulation
Development of novel analysis and data integration systems to understand human gene regulation Dissertation zur Erlangung des Doktorgrades Dr. rer. nat. der Fakult¨atf¨urMathematik und Informatik der Georg-August-Universit¨atG¨ottingen im PhD Programme in Computer Science (PCS) der Georg-August University School of Science (GAUSS) vorgelegt von Raza-Ur Rahman aus Pakistan G¨ottingen,April 2018 Prof. Dr. Stefan Bonn, Zentrum f¨urMolekulare Neurobiologie (ZMNH), Betreuungsausschuss: Institut f¨urMedizinische Systembiologie, Hamburg Prof. Dr. Tim Beißbarth, Institut f¨urMedizinische Statistik, Universit¨atsmedizin, Georg-August Universit¨at,G¨ottingen Prof. Dr. Burkhard Morgenstern, Institut f¨urMikrobiologie und Genetik Abtl. Bioinformatik, Georg-August Universit¨at,G¨ottingen Pr¨ufungskommission: Prof. Dr. Stefan Bonn, Zentrum f¨urMolekulare Neurobiologie (ZMNH), Referent: Institut f¨urMedizinische Systembiologie, Hamburg Prof. Dr. Tim Beißbarth, Institut f¨urMedizinische Statistik, Universit¨atsmedizin, Korreferent: Georg-August Universit¨at,G¨ottingen Prof. Dr. Burkhard Morgenstern, Weitere Mitglieder Institut f¨urMikrobiologie und Genetik Abtl. Bioinformatik, der Pr¨ufungskommission: Georg-August Universit¨at,G¨ottingen Prof. Dr. Carsten Damm, Institut f¨urInformatik, Georg-August Universit¨at,G¨ottingen Prof. Dr. Florentin W¨org¨otter, Physikalisches Institut Biophysik, Georg-August-Universit¨at,G¨ottingen Prof. Dr. Stephan Waack, Institut f¨urInformatik, Georg-August Universit¨at,G¨ottingen Tag der m¨undlichen Pr¨ufung: der 30. M¨arz2018 -
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 -
The C. Elegans 3′ Utrome V2 Resource for Studying Mrna Cleavage and Polyadenylation, 3′-UTR Biology, and Mirna Targeting
Downloaded from genome.cshlp.org on October 8, 2021 - Published by Cold Spring Harbor Laboratory Press Resource The C. elegans 3′ UTRome v2 resource for studying mRNA cleavage and polyadenylation, 3′-UTR biology, and miRNA targeting Hannah S. Steber,1,2 Christina Gallante,3 Shannon O’Brien,2 Po-Lin Chiu,4 and Marco Mangone1,2,5 1Molecular and Cellular Biology Graduate Program, School of Life Sciences, Tempe, Arizona 85287; 2Virginia G. Piper Center for Personalized Diagnostics, The Biodesign Institute at Arizona State University, Tempe, Arizona 85281, USA; 3Barrett, The Honors College, Arizona State University, Tempe, Arizona 85281, USA; 4Center for Applied Structural Discovery, The Biodesign Institute at Arizona State University, Tempe, Arizona 85287, USA 3′ Untranslated regions (3′ UTRs) of mRNAs emerged as central regulators of cellular function because they contain im- portant but poorly characterized cis-regulatory elements targeted by a multitude of regulatory factors. The model nema- tode Caenorhabditis elegans is ideal to study these interactions because it possesses a well-defined 3′ UTRome. To improve its annotation, we have used a genome-wide bioinformatics approach to download raw transcriptome data for 1088 transcrip- tome data sets corresponding to the entire collection of C. elegans trancriptomes from 2015 to 2018 from the Sequence Read Archive at the NCBI. We then extracted and mapped high-quality 3′-UTR data at ultradeep coverage. Here, we describe and release to the community the updated version of the worm 3′ UTRome, which we named 3′ UTRome v2. This resource contains high-quality 3′-UTR data mapped at single-base ultraresolution for 23,084 3′-UTR isoform variants corresponding to 14,788 protein-coding genes and is updated to the latest release of WormBase. -
Selectivity of ORC Binding Sites and the Relation to Replication Timing, Fragile Sites, and Deletions in Cancers
Selectivity of ORC binding sites and the relation to replication timing, fragile sites, and deletions in cancers Benoit Miottoa,b,c,d,1, Zhe Jia,e,1, and Kevin Struhla,2 aDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115; bINSERM, U1016, Institut Cochin, 75014 Paris, France; cCNRS, UMR8104, 75014 Paris, France; dUniversite Paris Descartes, Sorbonne Paris Cite, 75006 Paris, France; and eBroad Institute of MIT and Harvard, Cambridge, MA 02142 Contributed by Kevin Struhl, June 14, 2016 (sent for review April 27, 2016; reviewed by Bing Ren and Nicholas Rhind) The origin recognition complex (ORC) binds sites from which DNA regions are replicated late (18–20). One possible explanation for the replication is initiated. We address ORC binding selectivity in vivo by replication timing pattern is that origins are programmed to generate mapping ∼52,000 ORC2 binding sites throughout the human genome. the same pattern in all cells. Alternatively, origins could fire sto- The ORC binding profile is broader than those of sequence-specific chastically so that the pattern varies from cell to cell. Early versions transcription factors, suggesting that ORC is not bound or recruited of the stochastic firing model invoked functional differences between to specific DNA sequences. Instead, ORC binds nonspecifically to open early versus late origins. However, the finding of more ORC binding (DNase I-hypersensitive) regions containing active chromatin marks sites in early replicating regions of the Drosophila genome suggested such as H3 acetylation and H3K4 methylation. ORC sites in early and the possibility that the timing pattern might arise from stochastic late replicating regions have similar properties, but there are far more firing from all origins (4, 5). -
A Plant-Like Mechanism Coupling M6a Reading to Polyadenylation
RESEARCH ARTICLE A plant-like mechanism coupling m6A reading to polyadenylation safeguards transcriptome integrity and developmental gene partitioning in Toxoplasma Dayana C Farhat1, Matthew W Bowler2, Guillaume Communie3, Dominique Pontier4, Lucid Belmudes5, Caroline Mas6, Charlotte Corrao1, Yohann Coute´ 5, Alexandre Bougdour1, Thierry Lagrange4, Mohamed-Ali Hakimi1†*, Christopher Swale1†* 1IAB,Team Host-Pathogen Interactions & Immunity to Infection, INSERMU1209, CNRSUMR5309, Grenoble Alpes University, Grenoble, France; 2European Molecular Biology Laboratory, Grenoble, France; 3Institut Laue-Langevin, Grenoble, France; 4Laboratoire Genome et Developpement des Plantes (LGDP), UMR5096, Centre National de la Recherche Scientifique (CNRS), Universitede Perpignan via Domitia (UPVD), Perpignan, France; 5Univ. Grenoble Alpes, INSERM, CEA, UMR BioSante´ U1292, CNRS, CEA, Grenoble, France; 6Integrated Structural Biology Grenoble (ISBG) CNRS, CEA, Universite´ Grenoble Alpes, EMBL, Grenoble, France *For correspondence: [email protected] Abstract Correct 3’end processing of mRNAs is one of the regulatory cornerstones of gene (M-AH); expression. In a parasite that must adapt to the regulatory requirements of its multi-host life style, christopher.swale@univ-grenoble- there is a need to adopt additional means to partition the distinct transcriptional signatures of the alpes.fr (CS) closely and tandemly arranged stage-specific genes. In this study, we report our findings in T. †These authors contributed gondii of an m6A-dependent 3’end polyadenylation serving as a transcriptional barrier at these loci. equally to this work We identify the core polyadenylation complex within T. gondii and establish CPSF4 as a reader for Competing interests: The m6A-modified mRNAs, via a YTH domain within its C-terminus, a feature which is shared with authors declare that no plants.