Mouse Cabin1 Conditional Knockout Project (CRISPR/Cas9)

Total Page:16

File Type:pdf, Size:1020Kb

Mouse Cabin1 Conditional Knockout Project (CRISPR/Cas9) https://www.alphaknockout.com Mouse Cabin1 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Cabin1 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Cabin1 gene (NCBI Reference Sequence: NM_172549 ; Ensembl: ENSMUSG00000020196 ) is located on Mouse chromosome 10. 37 exons are identified, with the ATG start codon in exon 2 and the TGA stop codon in exon 37 (Transcript: ENSMUST00000001712). Exon 5~6 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Cabin1 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-7G24 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: Homozygous null mutants exhibit embryonic lethality during organogenesis. Mice producing a truncated protein exhibit elevated levels of serum IgG1, IgG2b and IgE, produce more IgG1 in response to T-cell dependent antigen, and have enhanced expression of cytokines in response to anti-CD3 stimulation. Exon 5 starts from about 3.23% of the coding region. The knockout of Exon 5~6 will result in frameshift of the gene. The size of intron 4 for 5'-loxP site insertion: 739 bp, and the size of intron 6 for 3'-loxP site insertion: 1262 bp. The size of effective cKO region: ~2576 bp. These transcripts Cabin1-203, Cabin1-204 and Cabin1-212 may not be affected by deleting this cKO region. 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 37 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Cabin1 Homology arm cKO region loxP site Page 2 of 8 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. 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 GC Content Distribution Window size: 300 bp Sequence 12 Summary: Full Length(9076bp) | A(22.61% 2052) | C(22.26% 2020) | T(30.23% 2744) | G(24.9% 2260) Note: The sequence of homologous arms and cKO region is analyzed to determine the GC content. No significant high GC-content region is found. So this region is suitable for PCR screening or sequencing analysis. Page 3 of 8 https://www.alphaknockout.com BLAT Search Results (up) QUERY SCORE START END QSIZE IDENTITY CHROM STRAND START END SPAN ----------------------------------------------------------------------------------------------- browser details YourSeq 3000 1 3000 3000 100.0% chr10 - 75753762 75756761 3000 browser details YourSeq 40 2530 2908 3000 57.8% chr2 + 172611335 172611464 130 browser details YourSeq 38 12 61 3000 93.1% chr4 + 62353368 62353417 50 browser details YourSeq 37 12 52 3000 97.5% chr2 - 26316856 26316896 41 browser details YourSeq 34 11 51 3000 84.7% chr4 - 67762943 67762981 39 browser details YourSeq 34 25 61 3000 97.3% chr2 - 49718084 49718122 39 browser details YourSeq 34 2706 2769 3000 69.5% chr1 + 179482813 179482871 59 browser details YourSeq 32 12 47 3000 97.1% chr2 - 30921671 30921708 38 browser details YourSeq 32 2689 2727 3000 88.9% chr18 - 34670709 34670746 38 browser details YourSeq 32 25 56 3000 100.0% chr14 + 7807090 7807121 32 browser details YourSeq 31 25 65 3000 91.9% chr7 + 127806270 127806316 47 browser details YourSeq 30 24 56 3000 87.1% chr11 - 106750341 106750371 31 browser details YourSeq 30 18 47 3000 100.0% chrX + 97133907 97133936 30 browser details YourSeq 30 88 117 3000 100.0% chr1 + 169731535 169731564 30 browser details YourSeq 29 22 51 3000 100.0% chr7 - 131714021 131714052 32 browser details YourSeq 29 25 56 3000 96.9% chr1 - 65385191 65385224 34 browser details YourSeq 28 27 55 3000 100.0% chr2 - 170678209 170678273 65 browser details YourSeq 27 25 55 3000 93.6% chr15 - 70510531 70510561 31 browser details YourSeq 27 29 61 3000 96.7% chr10 - 117689556 117689588 33 browser details YourSeq 27 439 471 3000 91.0% chr10 + 39208046 39208078 33 Note: The 3000 bp section upstream of Exon 5 is BLAT searched against the genome. No significant similarity is found. BLAT Search Results (down) QUERY SCORE START END QSIZE IDENTITY CHROM STRAND START END SPAN ----------------------------------------------------------------------------------------------- browser details YourSeq 3000 1 3000 3000 100.0% chr10 - 75748186 75751185 3000 browser details YourSeq 346 1838 2260 3000 90.2% chr14 - 24719086 24719496 411 browser details YourSeq 343 1838 2256 3000 90.9% chr10 - 63563114 63563524 411 browser details YourSeq 342 1838 2265 3000 89.8% chr1 - 150376864 150377278 415 browser details YourSeq 338 1838 2260 3000 90.6% chr7 - 129277219 129277633 415 browser details YourSeq 334 1838 2252 3000 91.0% chr19 + 14557180 14557585 406 browser details YourSeq 332 1842 2360 3000 89.6% chr14 - 101533734 101534355 622 browser details YourSeq 331 1838 2250 3000 90.7% chr5 - 21284143 21284543 401 browser details YourSeq 331 1838 2254 3000 89.7% chr16 + 6082673 6083077 405 browser details YourSeq 331 1840 2264 3000 92.0% chr13 + 6553399 6554066 668 browser details YourSeq 330 1838 2254 3000 92.0% chr8 + 110323646 110324065 420 browser details YourSeq 329 1838 2237 3000 90.9% chr11 + 87251714 87252101 388 browser details YourSeq 327 1838 2247 3000 91.4% chr1 - 43638396 43638809 414 browser details YourSeq 326 1838 2250 3000 89.0% chrX - 113388180 113388579 400 browser details YourSeq 326 1838 2250 3000 89.4% chr7 + 92459928 92460331 404 browser details YourSeq 326 1838 2251 3000 89.4% chr17 + 88940088 88940490 403 browser details YourSeq 325 1838 2252 3000 90.7% chr5 - 40703957 40704370 414 browser details YourSeq 325 1838 2252 3000 91.2% chr15 - 58923103 58923505 403 browser details YourSeq 324 1838 2248 3000 91.7% chr3 - 117476168 117476564 397 browser details YourSeq 323 1838 2250 3000 89.0% chr3 + 101772911 101773313 403 Note: The 3000 bp section downstream of Exon 6 is BLAT searched against the genome. No significant similarity is found. Page 4 of 8 https://www.alphaknockout.com Gene and protein information: Cabin1 calcineurin binding protein 1 [ Mus musculus (house mouse) ] Gene ID: 104248, updated on 12-Aug-2019 Gene summary Official Symbol Cabin1 provided by MGI Official Full Name calcineurin binding protein 1 provided by MGI Primary source MGI:MGI:1298375 See related Ensembl:ENSMUSG00000020196 Gene type protein coding RefSeq status VALIDATED Organism Mus musculus Lineage Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Glires; Rodentia; Myomorpha; Muroidea; Muridae; Murinae; Mus; Mus Also known as Cain; Ppp3in; A330070M20Rik Expression Ubiquitous expression in thymus adult (RPKM 14.2), ovary adult (RPKM 14.2) and 28 other tissues See more Orthologs human all Genomic context Location: 10 C1; 10 38.56 cM See Cabin1 in Genome Data Viewer Exon count: 37 Annotation release Status Assembly Chr Location 108 current GRCm38.p6 (GCF_000001635.26) 10 NC_000076.6 (75646110..75764357, complement) Build 37.2 previous assembly MGSCv37 (GCF_000001635.18) 10 NC_000076.5 (75108855..75227102, complement) Chromosome 10 - NC_000076.6 Page 5 of 8 https://www.alphaknockout.com Transcript information: This gene has 13 transcripts Gene: Cabin1 ENSMUSG00000020196 Description calcineurin binding protein 1 [Source:MGI Symbol;Acc:MGI:1298375] Gene Synonyms A330070M20Rik, Cain, Ppp3in Location Chromosome 10: 75,646,112-75,764,341 reverse strand. GRCm38:CM001003.2 About this gene This gene has 13 transcripts (splice variants), 209 orthologues, is a member of 1 Ensembl protein family and is associated with 6 phenotypes. Transcripts Name Transcript ID bp Protein Translation ID Biotype CCDS UniProt Flags Cabin1- ENSMUST00000001712.7 7417 2187aa ENSMUSP00000001712.6 Protein coding CCDS35938 G3X8Q1 TSL:5 201 GENCODE basic APPRIS P1 Cabin1- ENSMUST00000217810.1 2115 473aa ENSMUSP00000152043.1 Protein coding - A0A1W2P8C4 CDS 5' 203 incomplete TSL:1 Cabin1- ENSMUST00000219806.1 573 191aa ENSMUSP00000151879.1 Protein coding - A0A1W2P819 CDS 5' and 3' 212 incomplete TSL:3 Cabin1- ENSMUST00000218469.1 361 18aa ENSMUSP00000151933.1 Protein coding - A0A1W2P8A1 CDS 3' 204 incomplete TSL:3 Cabin1- ENSMUST00000218878.1 705 32aa ENSMUSP00000151485.1 Nonsense mediated - A0A1W2P755 CDS 5' 209 decay incomplete TSL:5 Cabin1- ENSMUST00000218790.1 593 39aa ENSMUSP00000151436.1 Nonsense mediated - A0A1W2P6X4 CDS 5' 207 decay incomplete TSL:3 Cabin1- ENSMUST00000218480.1 3095 No - Retained intron - - TSL:NA 205 protein Cabin1- ENSMUST00000220009.1 854 No - Retained intron - - TSL:3 213 protein Cabin1- ENSMUST00000218486.1 826 No - Retained intron - - TSL:3 206 protein Cabin1- ENSMUST00000218951.1 491 No - Retained intron - - TSL:2 210 protein Cabin1- ENSMUST00000218814.1 718 No - lncRNA - - TSL:2 208 protein Cabin1- ENSMUST00000219682.1 634 No - lncRNA - - TSL:3 211 protein Cabin1- ENSMUST00000217664.1 341 No - lncRNA - - TSL:3 202 protein Page 6 of 8 https://www.alphaknockout.com 138.23 kb Forward strand 75.64Mb 75.66Mb 75.68Mb 75.70Mb 75.72Mb 75.74Mb 75.76Mb Genes Gm19326-201 >processed pseudogene (Comprehensive set... Contigs AC087540.34 > < AC142499.9 Genes (Comprehensive set... < Susd2-202protein
Recommended publications
  • REPORT Germline Mutation of INI1/SMARCB1 in Familial Schwannomatosis
    REPORT Germline Mutation of INI1/SMARCB1 in Familial Schwannomatosis Theo J. M. Hulsebos, Astrid S. Plomp, Ruud A. Wolterman, Els C. Robanus-Maandag, Frank Baas, and Pieter Wesseling Patients with schwannomatosis develop multiple schwannomas but no vestibular schwannomas diagnostic of neurofi- bromatosis type 2. We report an inactivating germline mutation in exon 1 of the tumor-suppressor gene INI1 in a father and daughter who both had schwannomatosis. Inactivation of the wild-type INI1 allele, by a second mutation in exon 5 or by clear loss, was found in two of four investigated schwannomas from these patients. All four schwannomas displayed complete loss of nuclear INI1 protein expression in part of the cells. Although the exact oncogenetic mechanism in these schwannomas remains to be elucidated, our findings suggest that INI1 is the predisposing gene in familial schwannomatosis. Schwannomatosis (MIM 162091) is characterized by the 10 Only two families with an INI1 germline mutation, an development of multiple spinal, peripheral, and cranial- exon 4 frameshift mutation,11 and an exon 7 donor splice nerve schwannomas in the absence of vestibular schwan- site mutation12 have been described in which multiple nomas.1 The presence of vestibular schwannomas is di- generations were affected by malignant (rhabdoid) tumors agnostic of neurofibromatosis type 2 (NF2 [MIM 101000]). in infancy. In both of these families, clear cases of no- Molecular analyses identified somatically acquired mu- nexpressing obligate carriers of the INI1 mutation were
    [Show full text]
  • 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.
    [Show full text]
  • The H3.3 Chaperone Hira Complex Orchestrates Oocyte Developmental Competence
    bioRxiv preprint doi: https://doi.org/10.1101/2020.05.25.114124; this version posted May 26, 2020. 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. The H3.3 chaperone Hira complex orchestrates oocyte developmental competence Rowena Smith1, *, Zongliang Jiang2, *, Andrej Susor3, Hao Ming2, Janet Tait1, Marco Conti4, and Chih-Jen Lin1,5 1MRC Centre For Reproductive Health, University oF Edinburgh Queen’s Medical Research Institute 47 Little France Crescent, Edinburgh, United Kingdom, EH16 4TJ 2 School oF Animal Sciences, AgCenter, Louisiana State University, Baton Rouge, LA, 70803, USA 3 Laboratory oF Biochemistry and Molecular Biology oF Germ Cells, Institute oF Animal Physiology and Genetics, CAS, Rumburska 89, 277 21 Libechov, Czech Republic 4Center For Reproductive Sciences, University oF CaliFornia, San Francisco, CA 94143, USA 5To whom correspondence should be addressed. Tel: +44 131 242 6237; Email: [email protected] *equal contribution bioRxiv preprint doi: https://doi.org/10.1101/2020.05.25.114124; this version posted May 26, 2020. 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. Abstract Reproductive success relies on a healthy oocyte competent For Fertilisation and capable of sustaining early embryo development. By the end oF oogenesis, the oocyte is characterised by a transcriptionally silenced state, but the signiFicance oF this state and how it is achieved remains poorly understood.
    [Show full text]
  • Control Association Analysis of CABIN1 with Schizophrenia in a Japanese Population
    Journal of Human Genetics (2010) 55, 179–181 & 2010 The Japan Society of Human Genetics All rights reserved 1434-5161/10 $32.00 www.nature.com/jhg SHORT COMMUNICATION A case–control association analysis of CABIN1 with schizophrenia in a Japanese population Yuichiro Watanabe1,2, Ayako Nunokawa1, Naoshi Kaneko1 and Toshiyuki Someya1 Calcineurin (CN) is a calcium/calmodulin-dependent serine/threonine protein phosphatase and regulates neuronal structure, neurotransmission and activity-dependent gene expression. Several studies have indicated that CN signaling is likely to be involved in the pathogenesis of schizophrenia. The gene encoding CN-binding protein 1 (CABIN1) is located on 22q11.23, one of the common susceptibility loci for schizophrenia. Therefore, CABIN1 is a promising functional and positional candidate gene for schizophrenia. To assess whether CABIN1 is implicated in vulnerability to schizophrenia, we conducted a case–control association study between CABIN1 and schizophrenia. The results showed no evidence of an association between CABIN1 and schizophrenia using 11 tagging single nucleotide polymorphisms in 1193 Japanese subjects. Our results suggest that CABIN1 may not confer increased susceptibility for schizophrenia in the Japanese population. Journal of Human Genetics (2010) 55, 179–181; doi:10.1038/jhg.2009.136; published online 15 January 2010 Keywords: CABIN1; case–control study; schizophrenia; tagging SNP Schizophrenia is a complex genetic disorder that affects approximately one study. Fallin et al.10 examined seven polymorphisms in CABIN1 1% of the global population. The pathogenesis of schizophrenia is with an average density of one marker per 20.9 kb and failed to find currently unclear, but there is cumulative evidence that calcineurin any association with schizophrenia.
    [Show full text]
  • Molecular-Genetic Mechanisms of Memory Formation in Mouse Models of Neurodevelopmental and Neuropsychiatric Disorders
    University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2014 Molecular-Genetic Mechanisms of Memory Formation in Mouse Models of Neurodevelopmental and Neuropsychiatric Disorders Hannah Schoch University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Neuroscience and Neurobiology Commons Recommended Citation Schoch, Hannah, "Molecular-Genetic Mechanisms of Memory Formation in Mouse Models of Neurodevelopmental and Neuropsychiatric Disorders" (2014). Publicly Accessible Penn Dissertations. 1435. https://repository.upenn.edu/edissertations/1435 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1435 For more information, please contact [email protected]. Molecular-Genetic Mechanisms of Memory Formation in Mouse Models of Neurodevelopmental and Neuropsychiatric Disorders Abstract Neurodevelopmental and neuropsychiatric disorders are a significant and expanding global health crisis. Many individuals affected by these disorders have social and cognitive symptoms represent significant sources of ongoing disability that are refractory to available treatment options. The search for cures and therapies for disorders fundamentally requires an understanding of the core neuropathology and insight into the underlying molecular mechanisms at work. In this dissertation, I describe experiments that we performed to explore molecular and genetic mechanisms underlying memory impairment and enhancement
    [Show full text]
  • Whole-Exome Sequencing of 81 Individuals from 27 Multiply Affected Bipolar Disorder Families Andreas J
    Forstner et al. Translational Psychiatry (2020) 10:57 https://doi.org/10.1038/s41398-020-0732-y Translational Psychiatry ARTICLE Open Access Whole-exome sequencing of 81 individuals from 27 multiply affected bipolar disorder families Andreas J. Forstner1,2,3,4, Sascha B. Fischer 3,5,LorenaM.Schenk2,JanaStrohmaier 6,7, Anna Maaser-Hecker2, Céline S. Reinbold3,5,8, Sugirthan Sivalingam 2, Julian Hecker9,FabianStreit 6, Franziska Degenhardt2, Stephanie H. Witt 6, Johannes Schumacher1,2, Holger Thiele10, Peter Nürnberg10, José Guzman-Parra11, Guillermo Orozco Diaz12, Georg Auburger13,MargotAlbus14, Margitta Borrmann-Hassenbach14,MariaJoséGonzaleź 11, Susana Gil Flores15, Francisco J. Cabaleiro Fabeiro16, Francisco del Río Noriega17, Fermin Perez Perez18, Jesus Haro González19,FabioRivas20, Fermin Mayoral20,MichaelBauer 21, Andrea Pfennig21, Andreas Reif 22, Stefan Herms 2,3,5, Per Hoffmann2,3,5,23, Mehdi Pirooznia24, Fernando S. Goes 24, Marcella Rietschel 6, Markus M. Nöthen2 and Sven Cichon2,3,5,23 Abstract Bipolar disorder (BD) is a highly heritable neuropsychiatric disease characterized by recurrent episodes of depression and mania. Research suggests that the cumulative impact of common alleles explains 25–38% of phenotypic variance, and that rare variants may contribute to BD susceptibility. To identify rare, high-penetrance susceptibility variants for BD, whole-exome sequencing (WES) was performed in three affected individuals from each of 27 multiply affected families from Spain and Germany. WES identified 378 rare, non-synonymous, and potentially functional variants. These spanned 368 genes, and were carried by all three affected members in at least one family. Eight of the 368 genes harbored rare variants that were implicated in at least two independent families.
    [Show full text]
  • Ubinuclein-1 Confers Histone H3.3-Specific-Binding by the HIRA
    ARTICLE Received 22 Apr 2015 | Accepted 1 Jun 2015 | Published 10 Jul 2015 DOI: 10.1038/ncomms8711 OPEN Ubinuclein-1 confers histone H3.3-specific-binding by the HIRA histone chaperone complex M. Daniel Ricketts1,2, Brian Frederick3, Henry Hoff3, Yong Tang3, David C. Schultz3, Taranjit Singh Rai4,5, Maria Grazia Vizioli4, Peter D. Adams4 & Ronen Marmorstein1,2,6 Histone chaperones bind specific histones to mediate their storage, eviction or deposition from/or into chromatin. The HIRA histone chaperone complex, composed of HIRA, ubinuclein-1 (UBN1) and CABIN1, cooperates with the histone chaperone ASF1a to mediate H3.3-specific binding and chromatin deposition. Here we demonstrate that the conserved UBN1 Hpc2-related domain (HRD) is a novel H3.3-specific-binding domain. Biochemical and biophysical studies show the UBN1-HRD preferentially binds H3.3/H4 over H3.1/H4. X-ray crystallographic and mutational studies reveal that conserved residues within the UBN1-HRD and H3.3 G90 as key determinants of UBN1–H3.3-binding specificity. Comparison of the structure with the unrelated H3.3-specific chaperone DAXX reveals nearly identical points of contact between the chaperone and histone in the proximity of H3.3 G90, although the mechanism for H3.3 G90 recognition appears to be distinct. This study points to UBN1 as the determinant of H3.3-specific binding and deposition by the HIRA complex. 1 Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. 2 Graduate Group in Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
    [Show full text]
  • Discovery and Systematic Characterization of Risk Variants and Genes For
    medRxiv preprint doi: https://doi.org/10.1101/2021.05.24.21257377; this version posted June 2, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . 1 Discovery and systematic characterization of risk variants and genes for 2 coronary artery disease in over a million participants 3 4 Krishna G Aragam1,2,3,4*, Tao Jiang5*, Anuj Goel6,7*, Stavroula Kanoni8*, Brooke N Wolford9*, 5 Elle M Weeks4, Minxian Wang3,4, George Hindy10, Wei Zhou4,11,12,9, Christopher Grace6,7, 6 Carolina Roselli3, Nicholas A Marston13, Frederick K Kamanu13, Ida Surakka14, Loreto Muñoz 7 Venegas15,16, Paul Sherliker17, Satoshi Koyama18, Kazuyoshi Ishigaki19, Bjørn O Åsvold20,21,22, 8 Michael R Brown23, Ben Brumpton20,21, Paul S de Vries23, Olga Giannakopoulou8, Panagiota 9 Giardoglou24, Daniel F Gudbjartsson25,26, Ulrich Güldener27, Syed M. Ijlal Haider15, Anna 10 Helgadottir25, Maysson Ibrahim28, Adnan Kastrati27,29, Thorsten Kessler27,29, Ling Li27, Lijiang 11 Ma30,31, Thomas Meitinger32,33,29, Sören Mucha15, Matthias Munz15, Federico Murgia28, Jonas B 12 Nielsen34,20, Markus M Nöthen35, Shichao Pang27, Tobias Reinberger15, Gudmar Thorleifsson25, 13 Moritz von Scheidt27,29, Jacob K Ulirsch4,11,36, EPIC-CVD Consortium, Biobank Japan, David O 14 Arnar25,37,38, Deepak S Atri39,3, Noël P Burtt4, Maria C Costanzo4, Jason Flannick40, Rajat M 15 Gupta39,3,4, Kaoru Ito18, Dong-Keun Jang4,
    [Show full text]
  • UNIVERSITY of CALIFORNIA, SAN DIEGO Measuring
    UNIVERSITY OF CALIFORNIA, SAN DIEGO Measuring and Correlating Blood and Brain Gene Expression Levels: Assays, Inbred Mouse Strain Comparisons, and Applications to Human Disease Assessment A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Biomedical Sciences by Mary Elizabeth Winn Committee in charge: Professor Nicholas J Schork, Chair Professor Gene Yeo, Co-Chair Professor Eric Courchesne Professor Ron Kuczenski Professor Sanford Shattil 2011 Copyright Mary Elizabeth Winn, 2011 All rights reserved. 2 The dissertation of Mary Elizabeth Winn is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California, San Diego 2011 iii DEDICATION To my parents, Dennis E. Winn II and Ann M. Winn, to my siblings, Jessica A. Winn and Stephen J. Winn, and to all who have supported me throughout this journey. iv TABLE OF CONTENTS Signature Page iii Dedication iv Table of Contents v List of Figures viii List of Tables x Acknowledgements xiii Vita xvi Abstract of Dissertation xix Chapter 1 Introduction and Background 1 INTRODUCTION 2 Translational Genomics, Genome-wide Expression Analysis, and Biomarker Discovery 2 Neuropsychiatric Diseases, Tissue Accessibility and Blood-based Gene Expression 4 Mouse Models of Human Disease 5 Microarray Gene Expression Profiling and Globin Reduction 7 Finding and Accessible Surrogate Tissue for Neural Tissue 9 Genetic Background Effect Analysis 11 SPECIFIC AIMS 12 ENUMERATION OF CHAPTERS
    [Show full text]
  • MEF2I JCI-Final-5-30
    Supplemental Materials. 1. Extended Experimental Procedures 2. Supplemental Figure 1. qPCR of cardiac growth-associated genes. 3. Supplemental Figure 2. Echocardiographic measurements - TAC prevention model. 4. Supplemental Figure 3. Additional echocardiographic measurements - reversal model. 5. Supplemental Figure 4. HDAC5 nuclear localization. 6. Supplemental Table 1. Human clinical samples. 7. Supplemental Table 2. Blood chemistries of 8MI treated mice. 8. Supplemental Table 3. Annotations of hypertrophy-associated genes normalized by 8MI. 9. Supplemental Table 4. Ingenuity pathways and networks. 10.Supplemental Table 5. Gene Set Enrichment Analysis. Extended Experimental Procedures Reagents Antibodies were obtained from the following vendors: anti-MEF2 and anti-HDAC4 from Santa Cruz Biotechnology (Santa Cruz, California, USA), anti-GATA4 and anti-acetyl-lysine from Upstate (Charlottesville, Virginia, USA), anti-actin from Chemicon (Danvers, Massachusetts, USA), anti-HDAC5 and anti–p(S498)-HDAC5 were from Millipore and Abcam respectively. Trichostatin A (TSA) was purchased from Selleck Chemicals and MC1568 was provided by Sigma. The Amersham ECL Western detection system (GE Healthcare Bio-Sciences, Piscataway, New Jersey, USA) was used for chemiluminescence visualization of immunoblots. Reagents for real-time polymerase chain reaction (PCR) including Master Mix® and primers with TaqMan® probes were obtained from Applied Biosystems (Foster City, California, USA). RNA extraction was performed using Trizol (Molecular Research Center, Inc, Cincinnati, Ohio, USA). Rhodamine-conjugated phalloidin and wheat germ agglutinin (WGA) were purchased from Invitrogen (Carlsbad, California, USA). Myocyte cell culture Primary neonatal rat ventricular cardiomyocyte cultures were prepared from the hearts of 1- 3 day-old neonatal rat pups (Charles River, Wilmington, Massachusetts, USA) as previously described {Bishopric, 1991 #920}, by sequential digestion in a trypsin-containing calcium- free buffer and trituration.
    [Show full text]
  • Transcriptome Profiling Reveals the Complexity of Pirfenidone Effects in IPF
    ERJ Express. Published on August 30, 2018 as doi: 10.1183/13993003.00564-2018 Early View Original article Transcriptome profiling reveals the complexity of pirfenidone effects in IPF Grazyna Kwapiszewska, Anna Gungl, Jochen Wilhelm, Leigh M. Marsh, Helene Thekkekara Puthenparampil, Katharina Sinn, Miroslava Didiasova, Walter Klepetko, Djuro Kosanovic, Ralph T. Schermuly, Lukasz Wujak, Benjamin Weiss, Liliana Schaefer, Marc Schneider, Michael Kreuter, Andrea Olschewski, Werner Seeger, Horst Olschewski, Malgorzata Wygrecka Please cite this article as: Kwapiszewska G, Gungl A, Wilhelm J, et al. Transcriptome profiling reveals the complexity of pirfenidone effects in IPF. Eur Respir J 2018; in press (https://doi.org/10.1183/13993003.00564-2018). This manuscript has recently been accepted for publication in the European Respiratory Journal. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Copyright ©ERS 2018 Copyright 2018 by the European Respiratory Society. Transcriptome profiling reveals the complexity of pirfenidone effects in IPF Grazyna Kwapiszewska1,2, Anna Gungl2, Jochen Wilhelm3†, Leigh M. Marsh1, Helene Thekkekara Puthenparampil1, Katharina Sinn4, Miroslava Didiasova5, Walter Klepetko4, Djuro Kosanovic3, Ralph T. Schermuly3†, Lukasz Wujak5, Benjamin Weiss6, Liliana Schaefer7, Marc Schneider8†, Michael Kreuter8†, Andrea Olschewski1,
    [Show full text]
  • A Systems Immunology Approach Identifies the Collective Impact of Five Mirs in Th2 Inflammation Supplementary Information
    A systems immunology approach identifies the collective impact of five miRs in Th2 inflammation Supplementary information Ayşe Kılıç, Marc Santolini, Taiji Nakano, Matthias Schiller, Mizue Teranishi,Pascal Gellert, Yuliya Ponomareva, Thomas Braun, Shizuka Uchida, Scott T. Weiss, Amitabh Sharma and Harald Renz Corresponding Author: Harald Renz, MD Institute of Laboratory Medicine Philipps University Marburg 35043 Marburg, Germany Phone +49 6421 586 6235 [email protected] 1 Kılıç A et. al. 2018 A B C D PBS OVA chronic PAS PAS (cm H2O*s/ml (cm Raw Sirius Red Sirius Supplementary figure 1: Characteristic phenotype of the acute and chronic allergic airway inflammatory response in the OVA-induced mouse model. (a) Total and differential cell counts determined in BAL and cytospins show a dominant influx of eosinophils. (b) Serum titers of OVA-specific immunoglobulins are elevated. (c) Representative measurement of airway reactivity to increasing methacholine (Mch) responsiveness measured by head-out body plethysmography. (d) Representative lung section staining depicting airway inflammation and mucus production (PAS, original magnification x 10) and airway remodeling (SiriusRed; original magnification x 20). Data are presented as mean ± SEM and are representative for at least 3 independent experiments with n=8-10 animals per group. Statistical analyses have been performed with one-way ANOVA and Tukey’s post-test and show *p<0.05, **p<0.01 and ***p<0.001. 2 Kılıç A et. al. 2018 lymphocytes A lung activated CD4+-cells CD4+-T-cell-subpopulations SSC FSC ST2 live CD69 CD4 CXCR3 B spleen Naive CD4+- T cells DAPI FSC single cells SSC CD62L CD4 CD44 FSC FSC-W Supplementary figure 2.
    [Show full text]