High-Throughput CRISPR Screening Identifies Genes Involved in Macrophage Viability and Inflammatory Pathways
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A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Xenopus Piwi Proteins Interact with a Broad Proportion of the Oocyte Transcriptome
Downloaded from rnajournal.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press Xenopus Piwi proteins interact with a broad proportion of the oocyte transcriptome JAMES A. TOOMBS,1,2,4 YULIYA A. SYTNIKOVA,3,5 GUNG-WEI CHIRN,3,6 IGNATIUS ANG,3,7 NELSON C. LAU,3 and MICHAEL D. BLOWER1,2 1Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA 2Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA 3Department of Biology and Rosenstiel Basic Medical Science Research Center, Brandeis University, Waltham, Massachusetts 02454, USA ABSTRACT Piwi proteins utilize small RNAs (piRNAs) to recognize target transcripts such as transposable elements (TE). However, extensive piRNA sequence diversity also suggests that Piwi/piRNA complexes interact with many transcripts beyond TEs. To determine Piwi target RNAs, we used ribonucleoprotein-immunoprecipitation (RIP) and cross-linking and immunoprecipitation (CLIP) to identify thousands of transcripts associated with the Piwi proteins XIWI and XILI (Piwi-protein-associated transcripts, PATs) from early stage oocytes of X. laevis and X. tropicalis. Most PATs associate with both XIWI and XILI and include transcripts of developmentally important proteins in oogenesis and embryogenesis. Only a minor fraction of PATs in both frog species displayed near perfect matches to piRNAs. Since predicting imperfect pairing between all piRNAs and target RNAs remains intractable, we instead determined that PAT read counts correlate well with the lengths and expression levels of transcripts, features that have also been observed for oocyte mRNAs associated with Drosophila Piwi proteins. We used an in vitro assay with exogenous RNA to confirm that XIWI associates with RNAs in a length- and concentration-dependent manner. -
Application of Microarray-Based Comparative Genomic Hybridization in Prenatal and Postnatal Settings: Three Case Reports
SAGE-Hindawi Access to Research Genetics Research International Volume 2011, Article ID 976398, 9 pages doi:10.4061/2011/976398 Case Report Application of Microarray-Based Comparative Genomic Hybridization in Prenatal and Postnatal Settings: Three Case Reports Jing Liu, Francois Bernier, Julie Lauzon, R. Brian Lowry, and Judy Chernos Department of Medical Genetics, University of Calgary, 2888 Shaganappi Trail NW, Calgary, AB, Canada T3B 6A8 Correspondence should be addressed to Judy Chernos, [email protected] Received 16 February 2011; Revised 20 April 2011; Accepted 20 May 2011 Academic Editor: Reha Toydemir Copyright © 2011 Jing Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Microarray-based comparative genomic hybridization (array CGH) is a newly emerged molecular cytogenetic technique for rapid evaluation of the entire genome with sub-megabase resolution. It allows for the comprehensive investigation of thousands and millions of genomic loci at once and therefore enables the efficient detection of DNA copy number variations (a.k.a, cryptic genomic imbalances). The development and the clinical application of array CGH have revolutionized the diagnostic process in patients and has provided a clue to many unidentified or unexplained diseases which are suspected to have a genetic cause. In this paper, we present three clinical cases in both prenatal and postnatal settings. Among all, array CGH played a major discovery role to reveal the cryptic and/or complex nature of chromosome arrangements. By identifying the genetic causes responsible for the clinical observation in patients, array CGH has provided accurate diagnosis and appropriate clinical management in a timely and efficient manner. -
The RNA-Protein Interactome of Differentiated Kidney Tubular Epithelial Cells
BASIC RESEARCH www.jasn.org The RNA-Protein Interactome of Differentiated Kidney Tubular Epithelial Cells Michael Ignarski,1 Constantin Rill,1 Rainer W.J. Kaiser,1 Madlen Kaldirim,1 René Neuhaus,1 Reza Esmaillie,1 Xinping Li,2 Corinna Klein,3 Katrin Bohl,1 Maike Petersen,1 Christian K. Frese,3 Martin Höhne ,1 Ilian Atanassov,2 Markus M. Rinschen,1 Katja Höpker,1 Bernhard Schermer,1,4,5 Thomas Benzing,1,4,5 Christoph Dieterich,6,7 Francesca Fabretti,1 and Roman-Ulrich Müller 1,4,5 1Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany; 2Proteomics Core Facility, Max Planck Institute for Biology of Ageing, Cologne, Germany; 3Proteomics Facility, Cologne Excellence Cluster on Cellular Stress Responses in Aging-associated Diseases, 4Nephrolab, Cologne Excellence Cluster on Cellular Stress Responses in Aging- associated Diseases, Faculty of Medicine and University Hospital Cologne, and 5Systems Biology of Ageing Cologne, University of Cologne, Cologne, Germany; 6Department of Internal Medicine III, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, Germany; and 7German Center for Cardiovascular Research (DZHK)–Partner site, Heidelberg/Mannheim, Germany ABSTRACT Background RNA-binding proteins (RBPs) are fundamental regulators of cellular biology that affect all steps in the generation and processing of RNA molecules. Recent evidence suggests that regulation of RBPs that modulate both RNA stability and translation may have a profound effect on the proteome. However, regulation of RBPs in clinically relevant experimental conditions has not been studied systematically. Methods We used RNA interactome capture, a method for the global identification of RBPs to characterize the global RNA‐binding proteome (RBPome) associated with polyA-tailed RNA species in murine ciliated epithelial cells of the inner medullary collecting duct. -
CREB-Dependent Transcription in Astrocytes: Signalling Pathways, Gene Profiles and Neuroprotective Role in Brain Injury
CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Tesis doctoral Luis Pardo Fernández Bellaterra, Septiembre 2015 Instituto de Neurociencias Departamento de Bioquímica i Biologia Molecular Unidad de Bioquímica y Biologia Molecular Facultad de Medicina CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Memoria del trabajo experimental para optar al grado de doctor, correspondiente al Programa de Doctorado en Neurociencias del Instituto de Neurociencias de la Universidad Autónoma de Barcelona, llevado a cabo por Luis Pardo Fernández bajo la dirección de la Dra. Elena Galea Rodríguez de Velasco y la Dra. Roser Masgrau Juanola, en el Instituto de Neurociencias de la Universidad Autónoma de Barcelona. Doctorando Directoras de tesis Luis Pardo Fernández Dra. Elena Galea Dra. Roser Masgrau In memoriam María Dolores Álvarez Durán Abuela, eres la culpable de que haya decidido recorrer el camino de la ciencia. Que estas líneas ayuden a conservar tu recuerdo. A mis padres y hermanos, A Meri INDEX I Summary 1 II Introduction 3 1 Astrocytes: physiology and pathology 5 1.1 Anatomical organization 6 1.2 Origins and heterogeneity 6 1.3 Astrocyte functions 8 1.3.1 Developmental functions 8 1.3.2 Neurovascular functions 9 1.3.3 Metabolic support 11 1.3.4 Homeostatic functions 13 1.3.5 Antioxidant functions 15 1.3.6 Signalling functions 15 1.4 Astrocytes in brain pathology 20 1.5 Reactive astrogliosis 22 2 The transcription -
Chromatin Conformation Links Distal Target Genes to CKD Loci
BASIC RESEARCH www.jasn.org Chromatin Conformation Links Distal Target Genes to CKD Loci Maarten M. Brandt,1 Claartje A. Meddens,2,3 Laura Louzao-Martinez,4 Noortje A.M. van den Dungen,5,6 Nico R. Lansu,2,3,6 Edward E.S. Nieuwenhuis,2 Dirk J. Duncker,1 Marianne C. Verhaar,4 Jaap A. Joles,4 Michal Mokry,2,3,6 and Caroline Cheng1,4 1Experimental Cardiology, Department of Cardiology, Thoraxcenter Erasmus University Medical Center, Rotterdam, The Netherlands; and 2Department of Pediatrics, Wilhelmina Children’s Hospital, 3Regenerative Medicine Center Utrecht, Department of Pediatrics, 4Department of Nephrology and Hypertension, Division of Internal Medicine and Dermatology, 5Department of Cardiology, Division Heart and Lungs, and 6Epigenomics Facility, Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands ABSTRACT Genome-wide association studies (GWASs) have identified many genetic risk factors for CKD. However, linking common variants to genes that are causal for CKD etiology remains challenging. By adapting self-transcribing active regulatory region sequencing, we evaluated the effect of genetic variation on DNA regulatory elements (DREs). Variants in linkage with the CKD-associated single-nucleotide polymorphism rs11959928 were shown to affect DRE function, illustrating that genes regulated by DREs colocalizing with CKD-associated variation can be dysregulated and therefore, considered as CKD candidate genes. To identify target genes of these DREs, we used circular chro- mosome conformation capture (4C) sequencing on glomerular endothelial cells and renal tubular epithelial cells. Our 4C analyses revealed interactions of CKD-associated susceptibility regions with the transcriptional start sites of 304 target genes. Overlap with multiple databases confirmed that many of these target genes are involved in kidney homeostasis. -
Transposable Element Polymorphisms and Human Genome Regulation
TRANSPOSABLE ELEMENT POLYMORPHISMS AND HUMAN GENOME REGULATION A Dissertation Presented to The Academic Faculty by Lu Wang In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in Bioinformatics in the School of Biological Sciences Georgia Institute of Technology December 2017 COPYRIGHT © 2017 BY LU WANG TRANSPOSABLE ELEMENT POLYMORPHISMS AND HUMAN GENOME REGULATION Approved by: Dr. I. King Jordan, Advisor Dr. John F. McDonald School of Biological Sciences School of Biological Sciences Georgia Institute of Technology Georgia Institute of Technology Dr. Fredrik O. Vannberg Dr. Victoria V. Lunyak School of Biological Sciences Aelan Cell Technologies Georgia Institute of Technology San Francisco, CA Dr. Greg G. Gibson School of Biological Sciences Georgia Institute of Technology Date Approved: November 6, 2017 To my family and friends ACKNOWLEDGEMENTS I am truly grateful to my advisor Dr. I. King Jordan for his guidance and support throughout my time working with him as a graduate student. I am fortunate enough to have him as my mentor, starting from very basic, well-defined research tasks, and guided me step-by-step into the exciting world of scientific research. Throughout my PhD training, I have been always impressed by his ability to explain complex ideas – sometimes brilliant ideas of his own – in short and succinct sentences in such a way that his students could easily understand. I am also very impressed and inspired by his diligence and passion for his work. It is my great honor to have Dr. Greg Gibson, Dr. Victoria Lunyak, Dr. John McDonald, Dr. Fredrik Vannberg as my committee members. I really appreciate the guidance they provided me throughout my PhD study and the insightful thoughts they generously share with me during our discussions. -
Principles of RNA Processing from Analysis of Enhanced CLIP Maps for 150 RNA Binding Proteins Eric L
Van Nostrand et al. Genome Biology (2020) 21:90 https://doi.org/10.1186/s13059-020-01982-9 RESEARCH Open Access Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins Eric L. Van Nostrand1,2, Gabriel A. Pratt1,2, Brian A. Yee1,2, Emily C. Wheeler1,2, Steven M. Blue1,2, Jasmine Mueller1,2, Samuel S. Park1,2, Keri E. Garcia1,2, Chelsea Gelboin-Burkhart1,2, Thai B. Nguyen1,2, Ines Rabano1,2, Rebecca Stanton1,2, Balaji Sundararaman1,2, Ruth Wang1,2, Xiang-Dong Fu1,2, Brenton R. Graveley3* and Gene W. Yeo1,2* Abstract Background: A critical step in uncovering rules of RNA processing is to study the in vivo regulatory networks of RNA binding proteins (RBPs). Crosslinking and immunoprecipitation (CLIP) methods enable mapping RBP targets transcriptome-wide, but methodological differences present challenges to large-scale analysis across datasets. The development of enhanced CLIP (eCLIP) enabled the mapping of targets for 150 RBPs in K562 and HepG2, creating a unique resource of RBP interactomes profiled with a standardized methodology in the same cell types. Results: Our analysis of 223 eCLIP datasets reveals a range of binding modalities, including highly resolved positioning around splicing signals and mRNA untranslated regions that associate with distinct RBP functions. Quantification of enrichment for repetitive and abundant multicopy elements reveals 70% of RBPs have enrichment for non-mRNA element classes, enables identification of novel ribosomal RNA processing factors and sites, and suggests that association with retrotransposable elements reflects multiple RBP mechanisms of action. Analysis of spliceosomal RBPs indicates that eCLIP resolves AQR association after intronic lariat formation, enabling identification of branch points with single-nucleotide resolution, and provides genome-wide validation for a branch point-based scanning model for 3′ splice site recognition. -
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Chou et al. BMC Genomics 2018, 19(Suppl 2):103 DOI 10.1186/s12864-018-4463-x RESEARCH Open Access The aquatic animals’ transcriptome resource for comparative functional analysis Chih-Hung Chou1,2†, Hsi-Yuan Huang1,2†, Wei-Chih Huang1,2†, Sheng-Da Hsu1, Chung-Der Hsiao3, Chia-Yu Liu1, Yu-Hung Chen1, Yu-Chen Liu1,2, Wei-Yun Huang2, Meng-Lin Lee2, Yi-Chang Chen4 and Hsien-Da Huang1,2* From The Sixteenth Asia Pacific Bioinformatics Conference 2018 Yokohama, Japan. 15-17 January 2018 Abstract Background: Aquatic animals have great economic and ecological importance. Among them, non-model organisms have been studied regarding eco-toxicity, stress biology, and environmental adaptation. Due to recent advances in next-generation sequencing techniques, large amounts of RNA-seq data for aquatic animals are publicly available. However, currently there is no comprehensive resource exist for the analysis, unification, and integration of these datasets. This study utilizes computational approaches to build a new resource of transcriptomic maps for aquatic animals. This aquatic animal transcriptome map database dbATM provides de novo assembly of transcriptome, gene annotation and comparative analysis of more than twenty aquatic organisms without draft genome. Results: To improve the assembly quality, three computational tools (Trinity, Oases and SOAPdenovo-Trans) were employed to enhance individual transcriptome assembly, and CAP3 and CD-HIT-EST software were then used to merge these three assembled transcriptomes. In addition, functional annotation analysis provides valuable clues to gene characteristics, including full-length transcript coding regions, conserved domains, gene ontology and KEGG pathways. Furthermore, all aquatic animal genes are essential for comparative genomics tasks such as constructing homologous gene groups and blast databases and phylogenetic analysis. -
Bioinformatic Analysis of Chicken Chemokines
BIOINFORMATIC ANALYSIS OF CHICKEN CHEMOKINES, CHEMOKINE RECEPTORS, AND TOLL-LIKE RECEPTOR 21 A Thesis by JIXIN WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 2006 Major Subject: Poultry Science BIOINFORMATIC ANALYSIS OF CHICKEN CHEMOKINES, CHEMOKINE RECEPTORS, AND TOLL-LIKE RECEPTOR 21 A Thesis by JIXIN WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved by: Co-Chairs of Committee, James J. Zhu Luc R. Berghman Committee Member, David L. Adelson Head of Department, Alan R. Sams August 2006 Major Subject: Poultry Science iii ABSTRACT Bioinformatic Analysis of Chicken Chemokines, Chemokine Receptors, and Toll-Like Receptor 21. (August 2006) Jixin Wang, B.S., Tarim University of Agriculture and Reclamation; M.S., South China Agricultural University Co-Chairs of Advisory Committee: Dr. James J. Zhu Dr. Luc R. Berghman Chemokines triggered by Toll-like receptors (TLRs) are small chemoattractant proteins, which mainly regulate leukocyte trafficking in inflammatory reactions via interaction with G protein-coupled receptors. Forty-two chemokines and 19 cognate receptors have been found in the human genome. Prior to this study, only 11 chicken chemokines and 7 receptors had been reported. The objectives of this study were to identify systematically chicken chemokines and their cognate receptor genes in the chicken genome and to annotate these genes and ligand-receptor binding by a comparative genomics approach. Twenty-three chemokine and 14 chemokine receptor genes were identified in the chicken genome. -
Mouse Sdad1 Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Sdad1 Knockout Project (CRISPR/Cas9) Objective: To create a Sdad1 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Sdad1 gene (NCBI Reference Sequence: NM_172713 ; Ensembl: ENSMUSG00000029415 ) is located on Mouse chromosome 5. 22 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 22 (Transcript: ENSMUST00000031364). Exon 2~12 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 2 starts from about 4.42% of the coding region. Exon 2~12 covers 46.34% of the coding region. The size of effective KO region: ~9827 bp. The KO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 4 5 6 7 8 9 10 11 12 22 Legends Exon of mouse Sdad1 Knockout region Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section upstream of Exon 2 is aligned with itself to determine if there are tandem repeats. No significant tandem repeat is found in the dot plot matrix. So this region is suitable for PCR screening or sequencing analysis. Overview of the Dot Plot (down) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 1989 bp section downstream of Exon 12 is aligned with itself to determine if there are tandem repeats. -
Asparaginase Treatment Side-Effects May Be Due to Genes with Homopolymeric Asn Codons (Review-Hypothesis)
INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 36: 607-626, 2015 Asparaginase treatment side-effects may be due to genes with homopolymeric Asn codons (Review-Hypothesis) JULIAN BANERJI Center for Computational and Integrative Biology, MGH, Simches Research Center, Boston, MA 02114, USA Received April 15, 2015; Accepted July 15, 2015 DOI: 10.3892/ijmm.2015.2285 Abstract. The present treatment of childhood T-cell 1. Foundation of the hypothesis leukemias involves the systemic administration of prokary- otic L-asparaginase (ASNase), which depletes plasma Core hypothesis: translocation rates, poly Asparagine (Asn); Asparagine (Asn) and inhibits protein synthesis. The mecha- insulin-receptor-substrate 2 (IRS2) and diabetes; hypothesis nism of therapeutic action of ASNase is poorly understood, tests, poly glutamine (Gln) HTT and ataxias. Despite similar as are the etiologies of the side-effects incurred by treatment. Asn codon usage, ~4%/gene, from plants to humans (1), Protein expression from genes bearing Asn homopolymeric mammals are distinguished by a paucity of genes with a long coding regions (N-hCR) may be particularly susceptible to Asn homopolymeric coding region (N-hCR) (2). The 17 human Asn level fluctuation. In mammals, N-hCR are rare, short and genes with the longest N-hCR (ranging from five to eight conserved. In humans, misfunctions of genes encoding N-hCR consecutive Asn codons) are listed in Fig. 1; Table I lists genes are associated with a cluster of disorders that mimic ASNase with N-hCR greater than three. IRS2, encoding an insulin therapy side-effects which include impaired glycemic control, signal transducer, is the gene at the top of the list in Fig.