Comprehensive Analysis Reveals a Four-Gene Signature in Colorectal Cancer
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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. -
Investigating the Genetic Basis of Cisplatin-Induced Ototoxicity in Adult South African Patients
--------------------------------------------------------------------------- Investigating the genetic basis of cisplatin-induced ototoxicity in adult South African patients --------------------------------------------------------------------------- by Timothy Francis Spracklen SPRTIM002 SUBMITTED TO THE UNIVERSITY OF CAPE TOWN In fulfilment of the requirements for the degree MSc(Med) Faculty of Health Sciences UNIVERSITY OF CAPE TOWN University18 December of Cape 2015 Town Supervisor: Prof. Rajkumar S Ramesar Co-supervisor: Ms A Alvera Vorster Division of Human Genetics, Department of Pathology, University of Cape Town 1 The copyright of this thesis vests in the author. No quotation from it or information derived from it is to be published without full acknowledgement of the source. The thesis is to be used for private study or non- commercial research purposes only. Published by the University of Cape Town (UCT) in terms of the non-exclusive license granted to UCT by the author. University of Cape Town Declaration I, Timothy Spracklen, hereby declare that the work on which this dissertation/thesis is based is my original work (except where acknowledgements indicate otherwise) and that neither the whole work nor any part of it has been, is being, or is to be submitted for another degree in this or any other university. I empower the university to reproduce for the purpose of research either the whole or any portion of the contents in any manner whatsoever. Signature: Date: 18 December 2015 ' 2 Contents Abbreviations ………………………………………………………………………………….. 1 List of figures …………………………………………………………………………………... 6 List of tables ………………………………………………………………………………….... 7 Abstract ………………………………………………………………………………………… 10 1. Introduction …………………………………………………………………………………. 11 1.1 Cancer …………………………………………………………………………….. 11 1.2 Adverse drug reactions ………………………………………………………….. 12 1.3 Cisplatin …………………………………………………………………………… 12 1.3.1 Cisplatin’s mechanism of action ……………………………………………… 13 1.3.2 Adverse reactions to cisplatin therapy ………………………………………. -
Transcriptome, Spliceosome and Editome Expression Patterns of The
International Journal of Molecular Sciences Article Transcriptome, Spliceosome and Editome Expression Patterns of the Porcine Endometrium in Response to a Single Subclinical Dose of Salmonella Enteritidis Lipopolysaccharide Lukasz Paukszto 1, Anita Mikolajczyk 2, Jan P. Jastrzebski 1,3 , Marta Majewska 4 , Kamil Dobrzyn 5, Marta Kiezun 5 , Nina Smolinska 5 and Tadeusz Kaminski 5,* 1 Department of Plant Physiology, Genetics and Biotechnology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 1A, 10-719 Olsztyn, Poland; [email protected] (L.P.); [email protected] (J.P.J.) 2 Department of Public Health, Faculty of Health Sciences, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Warszawska 30, 10-082 Olsztyn, Poland; [email protected] 3 Bioinformatics Core Facility, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego Str 1A/113, 10-719 Olsztyn, Poland 4 Department of Human Physiology and Pathophysiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, Warszawska Str 30, 10-082 Olsztyn, Poland; [email protected] 5 Department of Animal Anatomy and Physiology, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Oczapowskiego 1A, 10-719 Olsztyn, Poland; [email protected] (K.D.); [email protected] (M.K.); [email protected] (N.S.) * Correspondence: [email protected]; Tel.: +48-89-523-44-20 Received: 15 May 2020; Accepted: 12 June 2020; Published: 13 June 2020 Abstract: Endometrial infections at a young age can lead to fertility issues in adulthood. Bacterial endotoxins, such as lipopolysaccharide (LPS), can participate in long-term molecular changes even at low concentrations. -
And SPP-Like Proteases☆
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Biochimica et Biophysica Acta 1828 (2013) 2828–2839 Contents lists available at ScienceDirect Biochimica et Biophysica Acta journal homepage: www.elsevier.com/locate/bbamem Review Mechanism, specificity, and physiology of signal peptide peptidase (SPP) and SPP-like proteases☆ Matthias Voss a, Bernd Schröder c, Regina Fluhrer a,b,⁎ a Adolf Butenandt Institute for Biochemistry, Ludwig-Maximilians University Munich, Schillerstr. 44, 80336 Munich, Germany b DZNE — German Center for Neurodegenerative Diseases, Munich, Schillerstr. 44, 80336 Munich, Germany c Biochemical Institute, Christian-Albrechts-University Kiel, Olshausenstrasse 40, 24118 Kiel, Germany article info abstract Article history: Signal peptide peptidase (SPP) and the homologous SPP-like (SPPL) proteases SPPL2a, SPPL2b, SPPL2c and Received 27 December 2012 SPPL3 belong to the family of GxGD intramembrane proteases. SPP/SPPLs selectively cleave transmembrane Received in revised form 25 March 2013 domains in type II orientation and do not require additional co-factors for proteolytic activity. Orthologues of Accepted 29 March 2013 SPP and SPPLs have been identified in other vertebrates, plants, and eukaryotes. In line with their diverse subcellular localisations ranging from the ER (SPP, SPPL2c), the Golgi (SPPL3), the plasma membrane Keywords: (SPPL2b) to lysosomes/late endosomes (SPPL2a), the different members of the SPP/SPPL family seem to Regulated intramembrane proteolysis fi Intramembrane-cleaving proteases exhibit distinct functions. Here, we review the substrates of these proteases identi ed to date as well as GxGD proteases the current state of knowledge about the physiological implications of these proteolytic events as deduced Signal peptide peptidase from in vivo studies. -
(P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds. -
Exome Sequencing in Sporadic Autism Spectrum Disorders Identifies Severe De Novo Mutations
LETTERS Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations Brian J O’Roak1, Pelagia Deriziotis2, Choli Lee1, Laura Vives1, Jerrod J Schwartz1, Santhosh Girirajan1, Emre Karakoc1, Alexandra P MacKenzie1, Sarah B Ng1, Carl Baker1, Mark J Rieder1, Deborah A Nickerson1, Raphael Bernier3, Simon E Fisher2,4, Jay Shendure1 & Evan E Eichler1,5 Evidence for the etiology of autism spectrum disorders (ASDs) In contrast with arraybased analysis of large de novo copy number has consistently pointed to a strong genetic component variants (CNVs), this approach has greater potential to implicate complicated by substantial locus heterogeneity1,2. We single genes in ASDs. sequenced the exomes of 20 individuals with sporadic ASD We selected 20 trios with an idiopathic ASD, each consistent with a (cases) and their parents, reasoning that these families sporadic ASD based on clinical evaluations (Supplementary Table 1), would be enriched for de novo mutations of major effect. pedigree structure, familial phenotypic evaluation, family history We identified 21 de novo mutations, 11 of which were and/or elevated parental age. Each family was initially screened by protein altering. Protein-altering mutations were significantly array comparative genomic hybridization (CGH) using a customized enriched for changes at highly conserved residues. We microarray9. We identified no large (>250 kb) de novo CNVs but did identified potentially causative de novo events in 4 out of identify a maternally inherited deletion (~350 kb) at 15q11.2 in one 20 probands, particularly among more severely affected family (Supplementary Fig. 1). This deletion has been associated individuals, in FOXP1, GRIN2B, SCN1A and LAMC3. -
Ejhg2009157.Pdf
European Journal of Human Genetics (2010) 18, 342–347 & 2010 Macmillan Publishers Limited All rights reserved 1018-4813/10 $32.00 www.nature.com/ejhg ARTICLE Fine mapping and association studies of a high-density lipoprotein cholesterol linkage region on chromosome 16 in French-Canadian subjects Zari Dastani1,2,Pa¨ivi Pajukanta3, Michel Marcil1, Nicholas Rudzicz4, Isabelle Ruel1, Swneke D Bailey2, Jenny C Lee3, Mathieu Lemire5,9, Janet Faith5, Jill Platko6,10, John Rioux6,11, Thomas J Hudson2,5,7,9, Daniel Gaudet8, James C Engert*,2,7, Jacques Genest1,2,7 Low levels of high-density lipoprotein cholesterol (HDL-C) are an independent risk factor for cardiovascular disease. To identify novel genetic variants that contribute to HDL-C, we performed genome-wide scans and quantitative association studies in two study samples: a Quebec-wide study consisting of 11 multigenerational families and a study of 61 families from the Saguenay– Lac St-Jean (SLSJ) region of Quebec. The heritability of HDL-C in these study samples was 0.73 and 0.49, respectively. Variance components linkage methods identified a LOD score of 2.61 at 98 cM near the marker D16S515 in Quebec-wide families and an LOD score of 2.96 at 86 cM near the marker D16S2624 in SLSJ families. In the Quebec-wide sample, four families showed segregation over a 25.5-cM (18 Mb) region, which was further reduced to 6.6 Mb with additional markers. The coding regions of all genes within this region were sequenced. A missense variant in CHST6 segregated in four families and, with additional families, we observed a P value of 0.015 for this variant. -
UC Berkeley UC Berkeley Electronic Theses and Dissertations
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Networks of Splice Factor Regulation by Unproductive Splicing Coupled With NMD Permalink https://escholarship.org/uc/item/4md923q7 Author Desai, Anna Publication Date 2017 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Networks of Splice Factor Regulation by Unproductive Splicing Coupled With NMD by Anna Maria Desai A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Comparative Biochemistry in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Steven E. Brenner, Chair Professor Donald Rio Professor Lin He Fall 2017 Abstract Networks of Splice Factor Regulation by Unproductive Splicing Coupled With NMD by Anna Maria Desai Doctor of Philosophy in Comparative Biochemistry University of California, Berkeley Professor Steven E. Brenner, Chair Virtually all multi-exon genes undergo alternative splicing (AS) to generate multiple protein isoforms. Alternative splicing is regulated by splicing factors, such as the serine/arginine rich (SR) protein family and the heterogeneous nuclear ribonucleoproteins (hnRNPs). Splicing factors are essential and highly conserved. It has been shown that splicing factors modulate alternative splicing of their own transcripts and of transcripts encoding other splicing factors. However, the extent of this alternative splicing regulation has not yet been determined. I hypothesize that the splicing factor network extends to many SR and hnRNP proteins, and is regulated by alternative splicing coupled to the nonsense mediated mRNA decay (NMD) surveillance pathway. The NMD pathway has a role in preventing accumulation of erroneous transcripts with dominant negative phenotypes. -
Downloaded from Here
bioRxiv preprint doi: https://doi.org/10.1101/017566; this version posted November 19, 2015. 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 1 Testing for ancient selection using cross-population allele 2 frequency differentiation 1;∗ 3 Fernando Racimo 4 1 Department of Integrative Biology, University of California, Berkeley, CA, USA 5 ∗ E-mail: [email protected] 6 1 Abstract 7 A powerful way to detect selection in a population is by modeling local allele frequency changes in a 8 particular region of the genome under scenarios of selection and neutrality, and finding which model is 9 most compatible with the data. Chen et al. [2010] developed a composite likelihood method called XP- 10 CLR that uses an outgroup population to detect departures from neutrality which could be compatible 11 with hard or soft sweeps, at linked sites near a beneficial allele. However, this method is most sensitive 12 to recent selection and may miss selective events that happened a long time ago. To overcome this, 13 we developed an extension of XP-CLR that jointly models the behavior of a selected allele in a three- 14 population tree. Our method - called 3P-CLR - outperforms XP-CLR when testing for selection that 15 occurred before two populations split from each other, and can distinguish between those events and 16 events that occurred specifically in each of the populations after the split. -
Identification of the Long, Edited Dsrnaome of LPS-Stimulated Immune Cells
Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Identification of the long, edited dsRNAome of LPS-stimulated immune cells Matthew G. Blango and Brenda L. Bass* Department of Biochemistry, University of Utah, Salt Lake City, Utah 84112, USA * Correspondence: [email protected] Phone: 801-581-4884 Running title: dsRNAome of mammalian immune cells Keywords: dsRNA, RNA binding protein, ADAR, Inosine, RNA editing, LPS 1 Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Endogenous double-stranded RNA (dsRNA) must be intricately regulated in mammals to prevent aberrant activation of host inflammatory pathways by cytosolic dsRNA binding proteins. Here we define the long, endogenous dsRNA repertoire in mammalian macrophages and monocytes during the inflammatory response to bacterial lipopolysaccharide. Hyperediting by adenosine deaminases that act on RNA (ADAR) enzymes was quantified over time using RNA-seq data from activated mouse macrophages to identify 342 Editing Enriched Regions (EERs), indicative of highly structured dsRNA. Analysis of publicly available datasets for samples of human peripheral blood monocytes resulted in discovery of 3,438 EERs in the human transcriptome. Human EERs had predicted secondary structures that were significantly more stable than those of mouse EERs and were located primarily in introns, whereas nearly all mouse EERs were in 3’UTRs. Seventy-four mouse EER-associated genes contained an EER in the orthologous human gene, although nucleotide sequence and position were only rarely conserved. Among these conserved EER-associated genes were several TNFα-signaling genes, including Sppl2a and Tnfrsf1b, important for processing and recognition of TNFα, respectively. -
A Second Generation Human Haplotype Map of Over 3.1 Million Snps the International Hapmap Consortium1
doi: 10.1038/nature06258 SUPPLEMENTARY INFORMATION A second generation human haplotype map of over 3.1 million SNPs The International HapMap Consortium1 Supplementary material S1 The density of common SNPs in the Phase II HapMap and the assembled human genome S2 Analysis of data quality S2.1 Analysis of amplicon structure to genotyping error S2.2 Analysis of genotype discordance from overlap with Seattle SNPs S2.3 Analysis of genotype discordance from fosmid end sequences S2.4 Analysis of monomorphism/polymorphism discrepancies S2.5 Interchromosomal LD S3. Analysis of population stratification S4. Analysis of relatedness S5. Segmental analysis of relatedness S6. Analysis of homozygosity S7. Perlegen genotyping protocols Supplementary tables Legends to supplementary figures 1 See end of manuscript for Consortium details www.nature.com/nature 1 doi: 10.1038/nature06258 SUPPLEMENTARY INFORMATION Supplementary text 1. The density of common SNPs in the Phase II HapMap and the assembled human genome. To estimate the fraction of all common variants on the autosomes that have been successfully genotyped in the consensus Phase II HapMap we note that in YRI (release 21) there are 2,334,980 SNPs with MAF≥0.05. Across the autosomes, the completed reference sequence assembled in contigs is 2.68 billion bp. Assuming that the allele frequency distribution in the YRI is well approximated by that of a simple coalescent model and using an estimate of the population mutation rate of θ = 1.2 per kb for African populations1,2 the expected number of variants with MAF≥0.05 in a sample of 120 chromosomes is 114 = θ E(S MAF≥5% ) L ∑ /1 i i=6 where L is the total length of the sequence3. -
Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands That Promote Axonal Growth
Research Article: New Research Development Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands that Promote Axonal Growth Jeremy S. Toma,1 Konstantina Karamboulas,1,ª Matthew J. Carr,1,2,ª Adelaida Kolaj,1,3 Scott A. Yuzwa,1 Neemat Mahmud,1,3 Mekayla A. Storer,1 David R. Kaplan,1,2,4 and Freda D. Miller1,2,3,4 https://doi.org/10.1523/ENEURO.0066-20.2020 1Program in Neurosciences and Mental Health, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada, 2Institute of Medical Sciences University of Toronto, Toronto, Ontario M5G 1A8, Canada, 3Department of Physiology, University of Toronto, Toronto, Ontario M5G 1A8, Canada, and 4Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1A8, Canada Abstract Peripheral nerves provide a supportive growth environment for developing and regenerating axons and are es- sential for maintenance and repair of many non-neural tissues. This capacity has largely been ascribed to paracrine factors secreted by nerve-resident Schwann cells. Here, we used single-cell transcriptional profiling to identify ligands made by different injured rodent nerve cell types and have combined this with cell-surface mass spectrometry to computationally model potential paracrine interactions with peripheral neurons. These analyses show that peripheral nerves make many ligands predicted to act on peripheral and CNS neurons, in- cluding known and previously uncharacterized ligands. While Schwann cells are an important ligand source within injured nerves, more than half of the predicted ligands are made by nerve-resident mesenchymal cells, including the endoneurial cells most closely associated with peripheral axons. At least three of these mesen- chymal ligands, ANGPT1, CCL11, and VEGFC, promote growth when locally applied on sympathetic axons.