Recurring DNA Copy Number Gain at Chromosome 9P13 Plays a Role In
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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. -
Bppart and Bpmax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model
BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model Ali Ebrahimpour-Boroojeny, Sanjay Rajopadhye, and Hamidreza Chitsaz ∗ Department of Computer Science, Colorado State University Abstract A few elite classes of RNA-RNA interaction (RRI), with complex roles in cellular functions such as miRNA-target and lncRNAs in human health, have already been studied. Accordingly, RRI bioinfor- matics tools tailored for those elite classes have been proposed in the last decade. Interestingly, there are somewhat unnoticed mRNA-mRNA interactions in the literature with potentially drastic biological roles. Hence, there is a need for high-throughput generic RRI bioinformatics tools. We revisit our RRI partition function algorithm, piRNA, which happens to be the most comprehensive and computationally-intensive thermodynamic model for RRI. We propose simpler models that are shown to retain the vast majority of the thermodynamic information that piRNA captures. We simplify the energy model and instead consider only weighted base pair counting to obtain BPPart for Base-pair Partition function and BPMax for Base-pair Maximization which are 225 and 1350 faster ◦ × × than piRNA, with a correlation of 0.855 and 0.836 with piRNA at 37 C on 50,500 experimentally charac- terized RRIs. This correlation increases to 0.920 and 0.904, respectively, at 180◦C. − Finally, we apply our algorithm BPPart to discover two disease-related RNAs, SNORD3D and TRAF3, and hypothesize their potential roles in Parkinson's disease and Cerebral Autosomal Dominant Arteri- opathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). 1 Introduction Since mid 1990s with the advent of RNA interference discovery, RNA-RNA interaction (RRI) has moved to the spotlight in modern, post-genome biology. -
DCTN3 Antibody (Internal Region) Peptide-Affinity Purified Goat Antibody Catalog # Af3366a
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 DCTN3 Antibody (internal region) Peptide-affinity purified goat antibody Catalog # AF3366a Specification DCTN3 Antibody (internal region) - Product Information Application WB Primary Accession O75935 Other Accession NP_009165.1, NP_077324.1, 11258, 53598 (mouse), 362504 (rat) Reactivity Human, Mouse, Rat Predicted Dog, Cow Host Goat Clonality Polyclonal Concentration 0.5 mg/ml Isotype IgG Calculated MW 21119 AF3366a (0.03 µg/ml) staining of Human Kidney lysate (35 µg protein in RIPA buffer). DCTN3 Antibody (internal region) - Additional Primary incubation was 1 hour. Detected by Information chemiluminescence. Gene ID 11258 Other Names Dynactin subunit 3, Dynactin complex subunit 22 kDa subunit, p22, DCTN3 {ECO:0000312|EMBL:CAG46687.1}, DCTN22 Format 0.5 mg/ml in Tris saline, 0.02% sodium azide, pH7.3 with 0.5% bovine serum albumin Storage Maintain refrigerated at 2-8°C for up to 6 months. For long term storage store at -20°C in small aliquots to prevent freeze-thaw cycles. AF3366a (0.2 µg/ml) staining of Mouse (A) and Rat (B) Skeletal Muscle lysates (35 µg Precautions protein in RIPA buffer). Primary incubation DCTN3 Antibody (internal region) is for was 1 hour. Detected by chemiluminescence. research use only and not for use in diagnostic or therapeutic procedures. DCTN3 Antibody (internal region) - Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Background DCTN3 Antibody (internal region) - Protein Information This antibody is expected to recognize both reported isoforms (NP_009165.1; Name DCTN3 NP_077324.1). -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Mutation Analysis of Genes Within the Dynactin Complex in a Cohort of Hereditary Peripheral Neuropathies
Clin Genet 2016: 90: 127–133 © 2015 John Wiley & Sons A/S. Printed in Singapore. All rights reserved Published by John Wiley & Sons Ltd CLINICAL GENETICS doi: 10.1111/cge.12712 Original Article Mutation analysis of genes within the dynactin complex in a cohort of hereditary peripheral neuropathies a a Tey S., Ahmad-Annuar A., Drew A.P., Shahrizaila N., Nicholson G.A., S. Tey , A. Ahmad-Annuar , Kennerson M.L. Mutation analysis of genes within the dynactin complex in A.P. Drewb, N. Shahrizailac, , a cohort of hereditary peripheral neuropathies. G.A. Nicholsonb d and Clin Genet 2016: 90: 127–133. © John Wiley & Sons A/S. Published by M.L. Kennersonb,d John Wiley & Sons Ltd, 2015 aDepartment of Biomedical Science, The cytoplasmic dynein–dynactin genes are attractive candidates for Faculty of Medicine, University of Malaya, b neurodegenerative disorders given their functional role in retrograde Kuala Lumpur, Malaysia, Northcott transport along neurons. The cytoplasmic dynein heavy chain (DYNC1H1) Neuroscience Laboratory, ANZAC Research Institute, and Sydney Medical gene has been implicated in various neurodegenerative disorders, and School, University of Sydney, Sydney, dynactin 1 (DCTN1) genes have been implicated in a wide spectrum of Australia, cDepartment of Medicine, disorders including motor neuron disease, Parkinson’s disease, spinobulbar Faculty of Medicine, University of Malaya, muscular atrophy and hereditary spastic paraplegia. However, the Kuala Lumpur, Malaysia, and dMolecular involvement of other dynactin genes with inherited peripheral neuropathies Medicine Laboratory, Concord Hospital, (IPN) namely, hereditary sensory neuropathy, hereditary motor neuropathy Sydney, Australia and Charcot–Marie–Tooth disease is under reported. We screened eight genes; DCTN1-6 and ACTR1A and ACTR1B in 136 IPN patients using Key words: Charcot–Marie–Tooth – whole-exome sequencing and high-resolution melt (HRM) analysis. -
DCTN3 Antibody (Internal Region) Peptide-Affinity Purified Goat Antibody Catalog # Af3365a
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 DCTN3 Antibody (internal region) Peptide-affinity purified goat antibody Catalog # AF3365a Specification DCTN3 Antibody (internal region) - DCTN3 Antibody (internal region) - Product Background Information This antibody is expected to recognize both Application E reported isoforms (NP_009165.1; Primary Accession O75935 NP_077324.1). Other Accession NP_009165.1, NP_077324.1, DCTN3 Antibody (internal region) - 11258, 53598 References (mouse), 362504 (rat) A protein-protein interaction network for Predicted Human, Mouse, human inherited ataxias and disorders of Rat, Dog, Cow Purkinje cell degeneration. Lim J, Hao T, Shaw Host Goat C, Patel AJ, Szabó G, Rual JF, Fisk CJ, Li N, Clonality Polyclonal Smolyar A, Hill DE, Barabási AL, Vidal M, Concentration 0.5 mg/ml Zoghbi HY. Cell 2006 May 125 (4): 801-14. Isotype IgG PMID: 16713569 Calculated MW 21119 DCTN3 Antibody (internal region) - Additional Information Gene ID 11258 Other Names Dynactin subunit 3, Dynactin complex subunit 22 kDa subunit, p22, DCTN3 {ECO:0000312|EMBL:CAG46687.1}, DCTN22 Format 0.5 mg/ml in Tris saline, 0.02% sodium azide, pH7.3 with 0.5% bovine serum albumin Storage Maintain refrigerated at 2-8°C for up to 6 months. For long term storage store at -20°C in small aliquots to prevent freeze-thaw cycles. Precautions DCTN3 Antibody (internal region) is for research use only and not for use in diagnostic or therapeutic procedures. Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 DCTN3 Antibody (internal region) - Protein Information Name DCTN3 {ECO:0000312|EMBL:CAG46687.1} Synonyms DCTN22 Function Together with dynein may be involved in spindle assembly and cytokinesis. -
Dynein Activators and Adaptors at a Glance Mara A
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs227132. doi:10.1242/jcs.227132 CELL SCIENCE AT A GLANCE Dynein activators and adaptors at a glance Mara A. Olenick and Erika L. F. Holzbaur* ABSTRACT ribonucleoprotein particles for BICD2, and signaling endosomes for Cytoplasmic dynein-1 (hereafter dynein) is an essential cellular motor Hook1. In this Cell Science at a Glance article and accompanying that drives the movement of diverse cargos along the microtubule poster, we highlight the conserved structural features found in dynein cytoskeleton, including organelles, vesicles and RNAs. A long- activators, the effects of these activators on biophysical parameters, standing question is how a single form of dynein can be adapted to a such as motor velocity and stall force, and the specific intracellular wide range of cellular functions in both interphase and mitosis. functions they mediate. – Recent progress has provided new insights dynein interacts with a KEY WORDS: BICD2, Cytoplasmic dynein, Dynactin, Hook1, group of activating adaptors that provide cargo-specific and/or Microtubule motors, Trafficking function-specific regulation of the motor complex. Activating adaptors such as BICD2 and Hook1 enhance the stability of the Introduction complex that dynein forms with its required activator dynactin, leading Microtubule-based transport is vital to cellular development and to highly processive motility toward the microtubule minus end. survival. Microtubules provide a polarized highway to facilitate Furthermore, activating adaptors mediate specific interactions of the active transport by the molecular motors dynein and kinesin. While motor complex with cargos such as Rab6-positive vesicles or many types of kinesins drive transport toward microtubule plus- ends, there is only one major form of dynein, cytoplasmic dynein-1, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, which drives the trafficking of a wide array of minus-end-directed USA. -
Mouse Dctn3 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Dctn3 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Dctn3 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Dctn3 gene (NCBI Reference Sequence: NM_016890 ; Ensembl: ENSMUSG00000028447 ) is located on Mouse chromosome 4. 7 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 7 (Transcript: ENSMUST00000030158). Exon 4~5 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Dctn3 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-32N21 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 4 starts from about 48.21% of the coding region. The knockout of Exon 4~5 will result in frameshift of the gene. The size of intron 3 for 5'-loxP site insertion: 2396 bp, and the size of intron 5 for 3'-loxP site insertion: 940 bp. The size of effective cKO region: ~1545 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 4 5 6 7 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Dctn3 Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Profilin 1 Associates with Stress Granules and ALS-Linked Mutations Alter Stress Granule Dynamics
The Journal of Neuroscience, June 11, 2014 • 34(24):8083–8097 • 8083 Neurobiology of Disease Profilin 1 Associates with Stress Granules and ALS-Linked Mutations Alter Stress Granule Dynamics Matthew D. Figley,1,2 Gregor Bieri,1,2 Regina-Maria Kolaitis,3 J. Paul Taylor,3 and Aaron D. Gitler1 1Department of Genetics and 2Neuroscience Graduate Program, Stanford University School of Medicine, Stanford, California 94305, and 3Department of Cell and Molecular Biology, St Jude Children’s Research Hospital, Memphis, Tennessee 38105 Mutations in the PFN1 gene encoding profilin 1 are a rare cause of familial amyotrophic lateral sclerosis (ALS). Profilin 1 is a well studied actin-binding protein but how PFN1 mutations cause ALS is unknown. The budding yeast, Saccharomyces cerevisiae, has one PFN1 ortholog. We expressed the ALS-linked profilin 1 mutant proteins in yeast, demonstrating a loss of protein stability and failure to restore growth to profilin mutant cells, without exhibiting gain-of-function toxicity. This model provides for simple and rapid screening of novel ALS-linked PFN1 variants. To gain insight into potential novel roles for profilin 1, we performed an unbiased, genome-wide synthetic lethal screen with yeast cells lacking profilin (pfy1⌬). Unexpectedly, deletion of several stress granule and processing body genes, including pbp1⌬, were found to be synthetic lethal with pfy1⌬. Mutations in ATXN2, the human ortholog of PBP1, are a known ALS genetic risk factor and ataxin 2 is a stress granule component in mammalian cells. Given this genetic interaction and recent evidence linking stress granule dynamics to ALS pathogenesis, we hypothesized that profilin 1 might also associate with stress granules. -
Setd1 Histone 3 Lysine 4 Methyltransferase Complex Components in Epigenetic Regulation
SETD1 HISTONE 3 LYSINE 4 METHYLTRANSFERASE COMPLEX COMPONENTS IN EPIGENETIC REGULATION Patricia A. Pick-Franke Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Master of Science in the Department of Biochemistry and Molecular Biology Indiana University December 2010 Accepted by the Faculty of Indiana University, in partial fulfillment of the requirements for the degree of Master of Science. _____________________________________ David Skalnik, Ph.D., Chair _____________________________________ Kristin Chun, Ph.D. Master’s Thesis Committee _____________________________________ Simon Rhodes, Ph.D. ii DEDICATION This thesis is dedicated to my sons, Zachary and Zephaniah who give me great joy, hope and continuous inspiration. I can only hope that I successfully set a good example demonstrating that one can truly accomplish anything, if you never give up and reach for your dreams. iii ACKNOWLEDGEMENTS I would like to thank my committee members Dr. Skalnik, Dr. Chun and Dr. Rhodes for allowing me to complete this dissertation. They have been incredibly generous with their flexibility. I must make a special thank you to Jeanette McClintock, who willingly gave her expertise in statistical analysis with the Cfp1 microarray data along with encouragement, support and guidance to complete this work. I would like to thank Courtney Tate for her ceaseless willingness to share ideas, and her methods and materials, and Erika Dolbrota for her generous instruction as well as the name of a good doctor. I would also like to acknowledge the superb mentorship of Dr. Jeon Heong Lee, PhD and the contagious passion and excitement for the life of science of Dr. -
Detection of Novel Amplicons in Prostate Cancer by Comprehensive
Detection of Novel Amplicons in Prostate Cancer by Comprehensive Genomic Profiling of Prostate Cancer Cell Lines Using Oligonucleotide-Based ArrayCGH Joern Kamradt1.*, Volker Jung1., Kerstin Wahrheit1, Laura Tolosi2, Joerg Rahnenfuehrer3, Martin Schilling4, Robert Walker5, Sean Davis5, Michael Stoeckle1, Paul Meltzer5, Bernd Wullich1 1 Department of Urology and Pediatric Urology, University of Saarland, Homburg/Saar, Germany, 2 Department of Computational Biology and Applied Algorithmics, Max-Planck Institute for Informatics, Saarbru¨cken, Germany, 3 Statistische Methoden in der Genetik und Chemometrie Fachbereich Statistik, Universita¨t Dortmund, Dortmund, Germany, 4 Department of General, Visceral, Vascular and Pediatric Surgery, University of the Saarland, Homburg/Saar, Germany, 5 Genetics Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America Background. The purpose of this study was to prove the feasibility of a longmer oligonucleotide microarray platform to profile gene copy number alterations in prostate cancer cell lines and to quickly indicate novel candidate genes, which may play a role in carcinogenesis. Methods/Results and Findings. Genome-wide screening for regions of genetic gains and losses on nine prostate cancer cell lines (PC3, DU145, LNCaP, CWR22, and derived sublines) was carried out using comparative genomic hybridization on a 35,000 feature oligonucleotide microarray (arrayCGH). Compared to conventional chromosomal CGH, more deletions and small regions of gains, particularly in pericentromeric regions and regions next to the telomeres, were detected. As validation of the high-resolution of arrayCGH we further analyzed a small amplicon of 1.7 MB at 9p13.3, which was found in CWR22 and CWR22-Rv1. Increased copy number was confirmed by fluorescence in situ hybridization using the BAC clone RP11- 165H19 from the amplified region comprising the two genes interleukin 11 receptor alpha (IL11-RA) and dynactin 3 (DCTN3). -
Signatures of Adaptive Evolution in Platyrrhine Primate Genomes 5 6 Hazel Byrne*, Timothy H
1 2 Supplementary Materials for 3 4 Signatures of adaptive evolution in platyrrhine primate genomes 5 6 Hazel Byrne*, Timothy H. Webster, Sarah F. Brosnan, Patrícia Izar, Jessica W. Lynch 7 *Corresponding author. Email [email protected] 8 9 10 This PDF file includes: 11 Section 1: Extended methods & results: Robust capuchin reference genome 12 Section 2: Extended methods & results: Signatures of selection in platyrrhine genomes 13 Section 3: Extended results: Robust capuchins (Sapajus; H1) positive selection results 14 Section 4: Extended results: Gracile capuchins (Cebus; H2) positive selection results 15 Section 5: Extended results: Ancestral Cebinae (H3) positive selection results 16 Section 6: Extended results: Across-capuchins (H3a) positive selection results 17 Section 7: Extended results: Ancestral Cebidae (H4) positive selection results 18 Section 8: Extended results: Squirrel monkeys (Saimiri; H5) positive selection results 19 Figs. S1 to S3 20 Tables S1–S3, S5–S7, S10, and S23 21 References (94 to 172) 22 23 Other Supplementary Materials for this manuscript include the following: 24 Tables S4, S8, S9, S11–S22, and S24–S44 1 25 1) Extended methods & results: Robust capuchin reference genome 26 1.1 Genome assembly: versions and accessions 27 The version of the genome assembly used in this study, Sape_Mango_1.0, was uploaded to a 28 Zenodo repository (see data availability). An assembly (Sape_Mango_1.1) with minor 29 modifications including the removal of two short scaffolds and the addition of the mitochondrial 30 genome assembly was uploaded to NCBI under the accession JAGHVQ. The BioProject and 31 BioSample NCBI accessions for this project and sample (Mango) are PRJNA717806 and 32 SAMN18511585.