Mouse Timm50 Conditional Knockout Project (CRISPR/Cas9)

Total Page:16

File Type:pdf, Size:1020Kb

Mouse Timm50 Conditional Knockout Project (CRISPR/Cas9) https://www.alphaknockout.com Mouse Timm50 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Timm50 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Timm50 gene (NCBI Reference Sequence: NM_025616 ; Ensembl: ENSMUSG00000003438 ) is located on Mouse chromosome 7. 11 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 11 (Transcript: ENSMUST00000081946). Exon 2~4 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Timm50 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-89A16 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 2 starts from about 10.29% of the coding region. The knockout of Exon 2~4 will result in frameshift of the gene. The size of intron 1 for 5'-loxP site insertion: 905 bp, and the size of intron 4 for 3'-loxP site insertion: 1666 bp. The size of effective cKO region: ~1441 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 2 3 4 5 6 7 11 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Homology arm Exon of mouse Timm50 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. Tandem repeats are found in the dot plot matrix. It may be difficult to construct this targeting vector. Overview of the GC Content Distribution Window size: 300 bp Sequence 12 Summary: Full Length(7941bp) | A(22.3% 1771) | C(25.64% 2036) | T(26.84% 2131) | G(25.22% 2003) Note: The sequence of homologous arms and cKO region is analyzed to determine the GC content. Significant high GC-content regions are found. It may be difficult to construct this targeting vector. Page 3 of 7 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% chr7 - 28311270 28314269 3000 browser details YourSeq 342 306 851 3000 90.3% chr7 + 30202311 30202729 419 browser details YourSeq 333 143 781 3000 91.2% chr15 + 79073177 79074124 948 browser details YourSeq 323 142 756 3000 86.9% chr8 + 110896314 110896813 500 browser details YourSeq 298 319 840 3000 90.6% chr12 + 55411102 55411495 394 browser details YourSeq 293 319 836 3000 94.0% chr3 + 36562195 36562733 539 browser details YourSeq 289 319 789 3000 91.6% chr4 + 120488817 120489165 349 browser details YourSeq 279 319 829 3000 90.7% chr4 + 132662807 132663227 421 browser details YourSeq 266 319 808 3000 88.1% chr9 + 53602744 53603096 353 browser details YourSeq 255 142 512 3000 91.2% chr15 - 102391387 102391817 431 browser details YourSeq 247 147 507 3000 93.4% chr11 - 74709870 74710516 647 browser details YourSeq 246 142 508 3000 92.5% chr4 + 150278984 150279457 474 browser details YourSeq 243 164 505 3000 93.0% chr2 + 4894469 4895136 668 browser details YourSeq 242 313 788 3000 96.6% chr5 + 5702549 5703116 568 browser details YourSeq 231 244 776 3000 95.0% chr1 - 87824709 87825498 790 browser details YourSeq 227 358 847 3000 86.3% chr4 + 136300128 136300441 314 browser details YourSeq 226 143 525 3000 95.6% chr9 + 44296746 44297264 519 browser details YourSeq 224 321 746 3000 90.6% chr4 - 62337583 62337920 338 browser details YourSeq 223 318 845 3000 90.4% chr4 - 101819882 101820293 412 browser details YourSeq 223 319 825 3000 94.8% chr7 + 29237255 29237909 655 Note: The 3000 bp section upstream of Exon 2 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% chr7 - 28306829 28309828 3000 browser details YourSeq 105 41 543 3000 77.4% chr7 + 81569324 81569493 170 browser details YourSeq 97 379 537 3000 85.2% chr6 + 52405516 52405663 148 browser details YourSeq 97 382 532 3000 89.6% chr4 + 123165400 123165562 163 browser details YourSeq 93 369 521 3000 86.7% chr14 - 55867536 55867692 157 browser details YourSeq 91 383 531 3000 91.0% chr5 + 19791880 19792032 153 browser details YourSeq 91 402 519 3000 88.9% chr11 + 117794587 117794705 119 browser details YourSeq 88 397 521 3000 90.9% chr3 + 107212136 107212262 127 browser details YourSeq 87 377 520 3000 81.0% chr2 - 120908877 120909014 138 browser details YourSeq 87 379 536 3000 85.8% chr12 - 83610001 83610152 152 browser details YourSeq 87 402 537 3000 92.4% chr7 + 80016612 80017007 396 browser details YourSeq 87 391 518 3000 89.2% chr18 + 67336819 67336947 129 browser details YourSeq 86 401 537 3000 89.5% chr10 - 40817715 40817850 136 browser details YourSeq 85 382 537 3000 83.2% chr6 + 24776683 24776827 145 browser details YourSeq 85 403 536 3000 90.6% chr10 + 108588845 108588981 137 browser details YourSeq 84 396 537 3000 88.3% chr2 - 59773735 59773878 144 browser details YourSeq 84 402 536 3000 83.9% chr13 - 73958818 73958952 135 browser details YourSeq 84 407 541 3000 88.3% chr10 - 70295949 70296081 133 browser details YourSeq 84 397 558 3000 87.5% chr11 + 4413683 4413878 196 browser details YourSeq 84 397 532 3000 89.4% chr10 + 39902290 39902424 135 Note: The 3000 bp section downstream of Exon 4 is BLAT searched against the genome. No significant similarity is found. Page 4 of 7 https://www.alphaknockout.com Gene and protein information: Timm50 translocase of inner mitochondrial membrane 50 [ Mus musculus (house mouse) ] Gene ID: 66525, updated on 12-Aug-2019 Gene summary Official Symbol Timm50 provided by MGI Official Full Name translocase of inner mitochondrial membrane 50 provided by MGI Primary source MGI:MGI:1913775 See related Ensembl:ENSMUSG00000003438 Gene type protein coding RefSeq status PROVISIONAL Organism Mus musculus Lineage Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Glires; Rodentia; Myomorpha; Muroidea; Muridae; Murinae; Mus; Mus Also known as TIM50L; AU015082; 2810403L02Rik Expression Ubiquitous expression in large intestine adult (RPKM 30.4), ovary adult (RPKM 29.7) and 28 other tissues See more Orthologs human all Genomic context Location: 7; 7 A3 See Timm50 in Genome Data Viewer Exon count: 11 Annotation release Status Assembly Chr Location 108 current GRCm38.p6 (GCF_000001635.26) 7 NC_000073.6 (28305516..28312046, complement) Build 37.2 previous assembly MGSCv37 (GCF_000001635.18) 7 NC_000073.5 (29090845..29097065, complement) Chromosome 7 - NC_000073.6 Page 5 of 7 https://www.alphaknockout.com Transcript information: This gene has 6 transcripts Gene: Timm50 ENSMUSG00000003438 Description translocase of inner mitochondrial membrane 50 [Source:MGI Symbol;Acc:MGI:1913775] Gene Synonyms 2810403L02Rik, TIM50L Location Chromosome 7: 28,305,516-28,312,072 reverse strand. GRCm38:CM001000.2 About this gene This gene has 6 transcripts (splice variants), 185 orthologues, 5 paralogues, is a member of 1 Ensembl protein family and is associated with 5 phenotypes. Transcripts Name Transcript ID bp Protein Translation ID Biotype CCDS UniProt Flags Timm50-201 ENSMUST00000081946.4 1515 353aa ENSMUSP00000080614.4 Protein coding CCDS21039 Q9D880 TSL:1 GENCODE basic APPRIS P1 Timm50-202 ENSMUST00000131849.7 891 No protein - Retained intron - - TSL:2 Timm50-203 ENSMUST00000134263.1 632 No protein - Retained intron - - TSL:3 Timm50-206 ENSMUST00000151990.1 449 No protein - Retained intron - - TSL:1 Timm50-204 ENSMUST00000135220.1 394 No protein - Retained intron - - TSL:3 Timm50-205 ENSMUST00000136427.1 334 No protein - lncRNA - - TSL:1 26.56 kb Forward strand 28.30Mb 28.31Mb 28.32Mb Genes Gm44709-201 >lncRNA (Comprehensive set... Contigs AC148986.5 > Genes (Comprehensive set... < Dll3-201protein coding < Timm50-201protein coding < Supt5-202nonsense mediated decay < Dll3-203retained intron < Timm50-206retained intron < Timm50-204retained intron < Supt5-201protein coding < Timm50-203retained intron < Timm50-205lncRNA < Supt5-203retained intron < Timm50-202retained intron < Supt5-208protein coding < Supt5-207lncRNA Regulatory Build 28.30Mb 28.31Mb 28.32Mb Reverse strand 26.56 kb Regulation Legend CTCF Open Chromatin Promoter Promoter Flank Transcription Factor Binding Site Gene Legend Protein Coding merged Ensembl/Havana Ensembl protein coding Non-Protein Coding processed transcript RNA gene Page 6 of 7 https://www.alphaknockout.com Transcript: ENSMUST00000081946 < Timm50-201protein coding Reverse strand 6.56 kb ENSMUSP00000080... Transmembrane heli... MobiDB lite Low complexity (Seg) Superfamily HAD-like superfamily SMART FCP1 homology domain Pfam FCP1 homology domain PROSITE profiles FCP1 homology domain PANTHER PTHR12210 Mitochondrial import inner membrane translocase subunit Tim50 Gene3D HAD superfamily CDD cd07521 All sequence SNPs/i... Sequence variants (dbSNP and all other sources) Variant Legend missense variant synonymous variant Scale bar 0 40 80 120 160 200 240 280 353 We wish to acknowledge the following valuable scientific information resources: Ensembl, MGI, NCBI, UCSC. Page 7 of 7.
Recommended publications
  • 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]
  • Supplementary Materials
    Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine
    [Show full text]
  • Molecular Analyses of Malignant Pleural Mesothelioma
    Molecular Analyses of Malignant Pleural Mesothelioma Shir Kiong Lo National Heart and Lung Institute Imperial College Dovehouse Street London SW3 6LY A thesis submitted for MD (Res) Faculty of Medicine, Imperial College London 2016 1 Abstract Malignant pleural mesothelioma (MPM) is an aggressive cancer that is strongly associated with asbestos exposure. Majority of patients with MPM present with advanced disease and the treatment paradigm mainly involves palliative chemotherapy and best supportive care. The current chemotherapy options are limited and ineffective hence there is an urgent need to improve patient outcomes. This requires better understanding of the genetic alterations driving MPM to improve diagnostic, prognostic and therapeutic strategies. This research aims to gain further insights in the pathogenesis of MPM by exploring the tumour transcriptional and mutational profiles. We compared gene expression profiles of 25 MPM tumours and 5 non-malignant pleura. This revealed differentially expressed genes involved in cell migration, invasion, cell cycle and the immune system that contribute to the malignant phenotype of MPM. We then constructed MPM-associated co-expression networks using weighted gene correlation network analysis to identify clusters of highly correlated genes. These identified three distinct molecular subtypes of MPM associated with genes involved in WNT and TGF-ß signalling pathways. Our results also revealed genes involved in cell cycle control especially the mitotic phase correlated significantly with poor prognosis. Through exome analysis of seven paired tumour/blood and 29 tumour samples, we identified frequent mutations in BAP1 and NF2. Additionally, the mutational profile of MPM is enriched with genes encoding FAK, MAPK and WNT signalling pathways.
    [Show full text]
  • Human CLPB) Is a Potent Mitochondrial Protein Disaggregase That Is Inactivated By
    bioRxiv preprint doi: https://doi.org/10.1101/2020.01.17.911016; this version posted January 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Skd3 (human CLPB) is a potent mitochondrial protein disaggregase that is inactivated by 3-methylglutaconic aciduria-linked mutations Ryan R. Cupo1,2 and James Shorter1,2* 1Department of Biochemistry and Biophysics, 2Pharmacology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, U.S.A. *Correspondence: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.01.17.911016; this version posted January 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. ABSTRACT Cells have evolved specialized protein disaggregases to reverse toxic protein aggregation and restore protein functionality. In nonmetazoan eukaryotes, the AAA+ disaggregase Hsp78 resolubilizes and reactivates proteins in mitochondria. Curiously, metazoa lack Hsp78. Hence, whether metazoan mitochondria reactivate aggregated proteins is unknown. Here, we establish that a mitochondrial AAA+ protein, Skd3 (human CLPB), couples ATP hydrolysis to protein disaggregation and reactivation. The Skd3 ankyrin-repeat domain combines with conserved AAA+ elements to enable stand-alone disaggregase activity. A mitochondrial inner-membrane protease, PARL, removes an autoinhibitory peptide from Skd3 to greatly enhance disaggregase activity. Indeed, PARL-activated Skd3 dissolves α-synuclein fibrils connected to Parkinson’s disease. Human cells lacking Skd3 exhibit reduced solubility of various mitochondrial proteins, including anti-apoptotic Hax1.
    [Show full text]
  • Skd3 (Human CLPB) Is a Potent Mitochondrial Protein Disaggregase That Is Inactivated By
    bioRxiv preprint first posted online Jan. 18, 2020; doi: http://dx.doi.org/10.1101/2020.01.17.911016. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Skd3 (human CLPB) is a potent mitochondrial protein disaggregase that is inactivated by 3-methylglutaconic aciduria-linked mutations Ryan R. Cupo1,2 and James Shorter1,2* 1Department of Biochemistry and Biophysics, 2Pharmacology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, U.S.A. *Correspondence: [email protected] 1 bioRxiv preprint first posted online Jan. 18, 2020; doi: http://dx.doi.org/10.1101/2020.01.17.911016. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. ABSTRACT Cells have evolved specialized protein disaggregases to reverse toxic protein aggregation and restore protein functionality. In nonmetazoan eukaryotes, the AAA+ disaggregase Hsp78 resolubilizes and reactivates proteins in mitochondria. Curiously, metazoa lack Hsp78. Hence, whether metazoan mitochondria reactivate aggregated proteins is unknown. Here, we establish that a mitochondrial AAA+ protein, Skd3 (human CLPB), couples ATP hydrolysis to protein disaggregation and reactivation. The Skd3 ankyrin-repeat domain combines with conserved AAA+ elements to enable stand-alone disaggregase activity. A mitochondrial inner-membrane protease, PARL, removes an autoinhibitory peptide from Skd3 to greatly enhance disaggregase activity. Indeed, PARL-activated Skd3 dissolves α-synuclein fibrils connected to Parkinson’s disease.
    [Show full text]
  • Iron‐Sulfur Cluster ISD11 Deficiency
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Repositório Científico do Instituto Nacional de Saúde Received: 5 February 2019 Revised: 23 April 2019 Accepted: 27 May 2019 DOI: 10.1002/jmd2.12058 CASE REPORT Iron-sulfur cluster ISD11 deficiency (LYRM4 gene) presenting as cardiorespiratory arrest and 3-methylglutaconic aciduria Margarida Paiva Coelho1 | Joana Correia1 | Aureliano Dias2 | Célia Nogueira2 | Anabela Bandeira1 | Esmeralda Martins1 | Laura Vilarinho2 1Reference Center for Metabolic Disorders, Centro Hospitalar Universitário do Porto, Abstract Porto, Portugal In the era of genomics, the number of genes linked to mitochondrial disease has been 2Newborn Screening, Metabolism and quickly growing, producing massive knowledge on mitochondrial biochemistry. Genetics Unit, Human Genetics Department, LYRM4 gene codifies for ISD11, a small protein (11 kDa) acting as an iron-sulfur clus- National Institute of Health Doutor Ricardo Jorge, Lisboa, Portugal ter, that has been recently confirmed as a disease-causing gene for mitochondrial disor- ders. We present a 4-year-old girl patient, born from non-consanguineous healthy Correspondence parents, with two episodes of cardiorespiratory arrest after respiratory viral illness with Margarida Paiva Coelho, Reference Center for Metabolic Disorders, Centro Materno progressive decreased activity and lethargy, at the age of 2 and 3 years. She was Infantil do Norte, Largo da Maternidade de asymptomatic between crisis with regular growth and normal development. During Júlio Dinis, 4050-651 Porto, Portugal. Email: mmargaridacoelho.dca@chporto. acute events of illness, she had hyperlactacidemia (maximum lactate 5.2 mmol/L) and min-saude.pt urinary excretion of ketone bodies and 3-methylglutaconic acid, which are normalized after recovery.
    [Show full text]
  • A Study of Alterations in DNA Epigenetic Modifications (5Mc and 5Hmc) and Gene Expression Influenced by Simulated Microgravity I
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Digital Repository @ Iowa State University Genome Informatics Facility Publications Genome Informatics Facility 1-28-2016 A Study of Alterations in DNA Epigenetic Modifications (5mC and 5hmC) and Gene Expression Influenced by Simulated Microgravity in Human Lymphoblastoid Cells Basudev Chowdhury Purdue University Arun S. Seetharam Iowa State University, [email protected] Zhiping Wang Indiana University School of Medicine Yunlong Liu Indiana University School of Medicine Amy C. Lossie Purdue University See next page for additional authors Follow this and additional works at: https://lib.dr.iastate.edu/genomeinformatics_pubs Part of the Bioinformatics Commons, Genetics Commons, and the Genomics Commons Recommended Citation Chowdhury, Basudev; Seetharam, Arun S.; Wang, Zhiping; Liu, Yunlong; Lossie, Amy C.; Thimmapuram, Jyothi; and Irudayaraj, Joseph, "A Study of Alterations in DNA Epigenetic Modifications (5mC and 5hmC) and Gene Expression Influenced by Simulated Microgravity in Human Lymphoblastoid Cells" (2016). Genome Informatics Facility Publications. 4. https://lib.dr.iastate.edu/genomeinformatics_pubs/4 This Article is brought to you for free and open access by the Genome Informatics Facility at Iowa State University Digital Repository. It has been accepted for inclusion in Genome Informatics Facility Publications by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. A Study of Alterations in DNA Epigenetic Modifications (5mC and 5hmC) and Gene Expression Influenced by Simulated Microgravity in Human Lymphoblastoid Cells Abstract Cells alter their gene expression in response to exposure to various environmental changes. Epigenetic mechanisms such as DNA methylation are believed to regulate the alterations in gene expression patterns.
    [Show full text]
  • Chchd10, a Novel Bi-Organellar Regulator of Cellular Metabolism: Implications in Neurodegeneration
    Wayne State University Wayne State University Dissertations January 2018 Chchd10, A Novel Bi-Organellar Regulator Of Cellular Metabolism: Implications In Neurodegeneration Neeraja Purandare Wayne State University, [email protected] Follow this and additional works at: https://digitalcommons.wayne.edu/oa_dissertations Part of the Molecular Biology Commons Recommended Citation Purandare, Neeraja, "Chchd10, A Novel Bi-Organellar Regulator Of Cellular Metabolism: Implications In Neurodegeneration" (2018). Wayne State University Dissertations. 2125. https://digitalcommons.wayne.edu/oa_dissertations/2125 This Open Access Dissertation is brought to you for free and open access by DigitalCommons@WayneState. It has been accepted for inclusion in Wayne State University Dissertations by an authorized administrator of DigitalCommons@WayneState. CHCHD10, A NOVEL BI-ORGANELLAR REGULATOR OF CELLULAR METABOLISM: IMPLICATIONS IN NEURODEGENERATION by NEERAJA PURANDARE DISSERTATION Submitted to the Graduate School of Wayne State University, Detroit, Michigan in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY 2018 MAJOR: MOLECULAR BIOLOGY AND GENETICS Approved By: Advisor Date © COPYRIGHT BY NEERAJA PURANDARE 2018 All Rights Reserved ACKNOWLEDGEMENTS First, I would I like to express the deepest gratitude to my mentor Dr. Grossman for the advice and support and most importantly your patience. Your calm and collected approach during our discussions provided me much needed perspective towards prioritizing and planning my work and I hope to carry this composure in my future endeavors. Words cannot describe my gratefulness for the support of Dr. Siddhesh Aras. You epitomize the scientific mind. I hope that I have inculcated a small fraction of your scientific thought process and I will carry this forth not just in my career, but for everything else that I do.
    [Show full text]
  • A Point Mutation in HIV-1 Integrase Redirects Proviral Integration Into
    bioRxiv preprint doi: https://doi.org/10.1101/2021.01.12.426369; this version posted January 12, 2021. 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. A point mutation in HIV-1 integrase redirects proviral integration into centromeric repeats Shelby Winansa,b,c and Stephen P. Goffa.b,c# aDepartment of Biochemistry and Molecular Biophysics Columbia University Medical Center, New York, NY bDepartment of Microbiology and Immunology Columbia University Medical Center, New York, NY cHoward Hughes Medical Institute, Columbia University, New York, NY #Lead Contact: address correspondence to Stephen P. Goff, [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2021.01.12.426369; this version posted January 12, 2021. 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 Abstract 2 Retroviruses utilize the viral integrase (IN) protein to integrate a DNA copy of their 3 genome into the host chromosomal DNA. HIV-1 integration sites are highly biased towards 4 actively transcribed genes, likely mediated by binding of the IN protein to specific host 5 factors, particularly LEDGF, located at these gene regions. We here report a dramatic 6 redirection of integration site distribution induced by a single point mutation in HIV-1 IN.
    [Show full text]
  • Is a Cell Survival Regulator in Pancreatic Cancer with 19Q13 Amplification
    Research Article Intersex-like (IXL) Is a Cell Survival Regulator in Pancreatic Cancer with 19q13 Amplification Riina Kuuselo,1 Kimmo Savinainen,1 David O. Azorsa,2 Gargi D. Basu,2 Ritva Karhu,1 Sukru Tuzmen,2 Spyro Mousses,2 and Anne Kallioniemi1 1Laboratory of Cancer Genetics, Institute of Medical Technology, University of Tampere and Tampere University Hospital, Tampere, Finland and 2Pharmaceutical Genomics Division, The Translational Genomics Research Institute, Scottsdale, Arizona Abstract 5-year survival rate for pancreatic cancer is <5% and the median survival is <6 months (2, 3). Even for patients who undergo Pancreatic cancer is a highly aggressive disease characterized potentially curative resection, the 5-year survival rate is only by poor prognosis and vast genetic instability. Recent micro- f array-based, genome-wide surveys have identified multiple 20% (2). recurrent copy number aberrations in pancreatic cancer; Aneuploidy and increased genetic instability manifesting as however, the target genes are, for the most part, unknown. complex genetic aberrations, such as losses, gains, and amplifica- Here, we characterized the 19q13 amplicon in pancreatic tions, are common features of pancreatic cancer (4, 5). These cancer to identify putative new drug targets. Copy number genetic alterations are likely to conceal genes involved in disease increases at 19q13 were quantitated in 16 pancreatic cancer pathogenesis, and uncovering such genes might thus provide cell lines and 31 primary tumors by fluorescence in situ targets for the development of new diagnostic and therapeutic hybridization. Cell line copy number data delineated a 1.1 Mb tools. In particular, gene amplification is a common mechanism for activating oncogenes, and other growth-promoting genes in cancer amplicon, the presence of which was also validated in 10% of primary pancreatic tumors.
    [Show full text]
  • Prognostic Value of TIMM50 Expression in Colorectal Cancer
    Clinical research Prognostic value of TIMM50 expression in colorectal cancer Bo Sun1, Jun Wang2, Yan-Feng Zhu3, Zhen-Yang Li2, Jian-Bin Xiang2, Zong-You Chen2, Zhi-Gang He4, Xiao-Dong Gu2 1Department of Gastric Surgery, Fudan University Shanghai Cancer Center, Shanghai, Corresponding authors: China 200032 Zhi-Gang He 2Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, Department of General China 200040 Surgery 3Department of Nursing, Huashan Hospital, Fudan University, Shanghai, China 200040 Shanghai Songjiang District 4Department of General Surgery, Shanghai Songjiang District Central Hospital, Central Hospital Shanghai, China 201600 746 Zhongshan Middle Road Shanghai, China 201600 Submitted: 8 April 2019 Phone: +86-21-67720001 Accepted: 12 September 2019 E-mail: [email protected] Arch Med Sci Xiao-Dong Gu DOI: https://doi.org/10.5114/aoms.2020.94487 Department of General Surgery Copyright © 2020 Termedia & Banach Huashan Hospital Fudan University 12 Wulumuqi Middle Road Abstract Shanghai, China 200040 Phone: +86-21-52887333 Translocase of the inner mitochondrial membrane 50 (TIMM50) Introduction: E-mail: [email protected] is universally considered to play a key role in several malignancies. Howev- er, its role in predicting colorectal cancer (CRC) patient prognosis remains unclear. Material and methods: A total of 192 CRC patients (123 men and 69 women) who underwent radical resection participated in this study. The patients were followed up every three months after surgery for five years. TIMM50 expression in tumour tissues was measured by quantitative real-time PCR, Western blotting and immunohistochemistry. TIMM50 expression was stud- ied to assess correlations with clinicopathological factors and survival time. Results: TIMM50 expression increased significantly in CRC tumour tis- sues.
    [Show full text]
  • From TOM to the TIM23 Complex – Handing Over of a Precursor
    Biol. Chem. 2020; 401(6–7): 709–721 Review Sylvie Callegari, Luis Daniel Cruz-Zaragoza and Peter Rehling* From TOM to the TIM23 complex – handing over of a precursor https://doi.org/10.1515/hsz-2020-0101 imported into their appropriate mitochondrial subcom- Received January 3, 2020; accepted February 13, 2020 partment (Morgenstern et al., 2017; Vogtle et al., 2017). The import process is highly selective and requires spe- Abstract: Mitochondrial precursor proteins with amino- cialized machinery that can recognize and sort the dif- terminal presequences are imported via the presequence ferent categories of mitochondrial precursor proteins. pathway, utilizing the TIM23 complex for inner membrane Approximately two thirds of mitochondrial precursor pro- translocation. Initially, the precursors pass the outer teins have an N-terminal, positively charged, presequence membrane through the TOM complex and are handed over that is approximately 15–50 amino acids long (Chacinska to the TIM23 complex where they are sorted into the inner et al., 2009). The presequence targets precursor proteins membrane or translocated into the matrix. This hando- to the translocase of the outer membrane (TOM complex), ver process depends on the receptor proteins at the inner which is the main entry gate across the outer mitochon- membrane, Tim50 and Tim23, which are critical for effi- drial membrane. From there, presequence-containing cient import. In this review, we summarize key findings precurors are passed onto the translocase of the inner that shaped the current concepts of protein translocation membrane 23 (TIM23 complex) and the presequence is along the presequence import pathway, with a particu- cleaved by the mitochondrial presequence peptidase.
    [Show full text]