WO 2014/172046 A9 O

Total Page:16

File Type:pdf, Size:1020Kb

WO 2014/172046 A9 O (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) CORRECTED VERSION (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2014/172046 A9 23 October 2014 (23.10.2014) P C T (51) International Patent Classification: 61/824,253 16 May 2013 (16.05.2013) US C12Q 1/68 (2006.01) G06F 19/20 (201 1.01) 61/860,1 15 30 July 201 3 (30.07.2013) US 61/907,939 22 November 2013 (22. 11.2013) us (21) International Application Number: 61/915,392 12 December 2013 (12. 12.2013) us PCT/US2014/029592 61/935,650 4 February 2014 (04.02.2014) us (22) International Filing Date: 61/940,226 14 February 2014 (14.02.2014) us 14 March 2014 (14.03.2014) (71) Applicant: LIFE TECHNOLOGIES CORPORATION (25) Filing Language: English [US/US]; Legal Department, Intellectual Property, 5791 Van Allen Way, Carlsbad, California 92008 (US). (26) Publication Language: English (72) Inventors: RHODES, Daniel; Life Technologies Corpora (30) Priority Data: tion, Legal Department, Intellectual Property, 5791 Van 61/813,182 17 April 2013 (17.04.2013) Allen Way, Carlsbad, California 92008 (US). SADIS, 61/813,465 18 April 2013 (18.04.2013) Seth; Life Technologies Corporation, Legal Department, [Continued on nextpage] (54) Title: GENE FUSIONS AND GENE VARIANTS ASSOCIATED WITH CANCER (57) Abstract: The disclosure provides gene fusions, gene variants, and novel as sociations with disease states, as well as kits, probes, and methods of using the same. raw cells Annotate and Filter Fusions 424K annotated fusion cells Summarize and Prioritize Fusions Gene Fusion RNASeq data < processing workflow o w o 2014/172046 A 9 1I II II I III IIII II 11lll l ll III! Ill III II Intellectual Property, 5791 Van Allen Way, Carlsbad, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, California 92008 (US). WYNGAARD, Peter; Life Tech¬ NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, nologies Corporation, Legal Department, Intellectual RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, Property, 5791 Van Allen Way, Carlsbad, California TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, 92008 (US). KHAZANOV, Nikolay; Life Technologies VN, ZA, ZM, ZW. Corporation, Legal Department, Intellectual Property, (84) Designated States (unless otherwise indicated, for every 5791 Van Allen Way, Carlsbad, California 92008 (US). kind of regional protection available): ARIPO (BW, GH, BANDLA, Santhoshi; Life Technologies Corporation, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, Legal Department, Intellectual Property, 5791 Van Allen UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, Way, Carlsbad, California 92008 (US). TOMILO, Mark; TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, Life Technologies Corporation, Legal Department, Intel¬ EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, ΓΓ, LT, LU, lectual Property, 5791 Van Allen Way, Carlsbad, Califor¬ LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, nia 92008 (US). EDDY, Sean; Life Technologies Corpor¬ SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, ation, Legal Department, Intellectual Property, 5791 Van GW, KM, ML, MR, NE, SN, TD, TG). Allen Way, Carlsbad, California 92008 (US). BOWDEN, Emma; Life Technologies Corporation, Legal Depart¬ Declarations under Rule 4.17: ment, Intellectual Property, 5791 Van Allen Way, Carls¬ — of inventorship (Rule 4.17(iv)) bad, California 92008 (US). Published: (74) Agent: DUKE, Jennifer; Life Technologies Corporation, Legal Department, Intellectual Property, 5791 Van Allen — with international search report (Art. 21(3)) Way, Carlsbad, California 92008 (US). (88) Date of publication of the international search report: (81) Designated States (unless otherwise indicated, for every 18 June 2015 kind of national protection available): AE, AG, AL, AM, (48) Date of publication of this corrected version: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, 2 5 February 2016 BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, (15) Information about Correction: GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, see Notice of 2 5 February 2016 KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, GENE FUSIONS AND GENE VARIANTS ASSOCIATED WITH CANCER FIELD OF THE INVENTION [0001] The present invention relates generally to gene fusions and gene variants that are associated with cancer. BACKGROUND [0002] Aberrations such as chromosomal translocations and gene variants are frequently found in human cancer cells. Chromosomal translocations may result in a chimeric gene expressing a fusion transcript which is then translated into a fusion protein that affects normal regulatory pathways and stimulates cancer cell growth. Gene variants may also result in aberrant proteins that affect normal regulatory pathways. [0003] The identification of new fusion genes, new variants of known fusion genes, and gene variants or alleles provides an opportunity for additional diagnostics and cancer treatment targets. BRIEF SUMMARY OF THE INVENTION [0004] The disclosure provides novel gene fusion variants and gene fusion- disease state associations. The gene fusions provided herein are associated with certain cancers. The disclosure further provides probes, such as amplification primer sets and detection probes, as well as methods and systems of detection, diagnosis, and treatment and kits that include or detect the gene fusions disclosed herein. [0005] In one embodiment, the disclosure provides a reaction mixture comprising a probe or a set of probes that specifically recognize a gene fusion selected from Table 1 - Table 3 , Table 19 , and Table 22. The set of probes can be, for example a set of amplification primers. In another embodiment, provided herein is a reaction mixture that includes a set of primers that flank a gene fusion selected from Table 1 - Table 3 , Table 19, and Table 22 in a target nucleic acid. For example, the set of primers can each bind to a target sequence in the human genome within 1000, 750, 500, 250, 100, 90, 80, 75, 70, 65, 50, or 25 nucleotides of opposite sides of the one of the fusion breakpoints identified in Tables 4-6, 20, and 23. The reaction mixture of this embodiment can further include a detector probe that binds to either side of a breakpoint in a gene fusion selected from Table 1 - Table 3 , Table 19, and Table 22, or that binds a binding region that spans the breakpoint in a gene fusion selected from Table 1 - Table 3 , Table 19, and Table 22, including specific embodiments where the breakpoint is identified in Tables 4-6, 20, and 23. In exemplary embodiments, the detector probe binds to a target sequence in the human genome within 1000, 750, 500, 250, 100, 90, 80, 75, 70, 60, 50, or 25 nucleotides of one of the fusion breakpoints identified in Tables 4-6, 20, and 23. The reaction mixture that includes a detector probe, or does not include a detector probe, can further include a polymerase, a reverse transcriptase, dNTPs, and/or a uracil DNA deglycosylase (UDG). The polymerase, the reverse transcriptase, and the UDG are typically not from human origin. The polymerase in illustrative embodiments is a thermostable polymerase such as a Taq polymerase. In certain embodiments, the dNTPs in the reaction mixture include dUTP, and the reaction mixture can in certain examples, be devoid of dTTP. Furthermore, the reaction mixture can include an amplicon, such as a DNA amplicon that includes one or more deoxyuridine ("dU") residues. In certain embodiments the reaction mixture includes a DNA amplicon that includes one or more dU residues for every deoxythymidine residue in the corresponding human genomic sequence. In certain embodiments, the amplicon includes a segment for which a corresponding sequence is not found in the human genome, such as, for example, a DNA barcode sequence. The non-human segment can be for example, 5-10,000, 5-5000, 5-1 000, 5-500, 5-100, 5-50, 5-25, 5-10, 10- 10,000, 10-5000, 10-1 000, 10-500, 10 -100, 10-50, or 10-25 nucleotides in length. In certain embodiments, the amplicon includes segment that corresponds to the region of the human genome that spans an intron, but the amplicon does not include a segment corresponding to the intron. The reaction mixture can further include a target nucleic acid, for example a human target nucleic acid. The human target nucleic acid can be, for example, isolated from a biological sample from a person suspected of having a cancer selected from: BLCA = bladder carcinoma, BRCA = breast carcinoma, CESC = cervical cell carcinoma, COAD = colon adenocarcinoma, GBM = glioblastoma multiforme, HNSC = head and neck squamous cell carcinoma, KIRK = clear cell renal cell carcinoma, KIRP = kidney renal papillary cell carcinoma, LAML = acute myeloid leukemia, LGG = brain lower grade glioma, LIHC = liver hepatocellular carcinoma, LUAD = lung adenocarcinoma, LUSC = squamous cell lung carcinoma, OV = ovarian serous adenocarcinoma, PRAD = prostate adenocarcinoma, READ = rectal adenocarcinoma, SKCM = cutaneous melanoma, STAD = stomach adenocarcinoma, THCA = thyroid carcinoma, and UCEC = uterine corpus endometrioid carcinoma. In certain embodiments, the target nucleic acid is from a tumor, for example a tumor of one of the cancer types listed in the preceding sentence. [0006] In another embodiment, a set of probes that specifically recognizes a nucleic acid comprising at least one of SEQ ID NOs: 1-257 (gene fusions) is provided. In another embodiment, provided herein is a set of primers that specifically amplify a target nucleic acid that includes at least 25, 30, 40, 50, 75, 100, 125, 150, 200, or all of SEQ ID NOs: 1-257, or that amplifies up to 25, 30, 40, 50, 75, 100, 125, 150, 200, or all of SEQ ID NOs: 1-257.
Recommended publications
  • Location Analysis of Estrogen Receptor Target Promoters Reveals That
    Location analysis of estrogen receptor ␣ target promoters reveals that FOXA1 defines a domain of the estrogen response Jose´ e Laganie` re*†, Genevie` ve Deblois*, Ce´ line Lefebvre*, Alain R. Bataille‡, Franc¸ois Robert‡, and Vincent Gigue` re*†§ *Molecular Oncology Group, Departments of Medicine and Oncology, McGill University Health Centre, Montreal, QC, Canada H3A 1A1; †Department of Biochemistry, McGill University, Montreal, QC, Canada H3G 1Y6; and ‡Laboratory of Chromatin and Genomic Expression, Institut de Recherches Cliniques de Montre´al, Montreal, QC, Canada H2W 1R7 Communicated by Ronald M. Evans, The Salk Institute for Biological Studies, La Jolla, CA, July 1, 2005 (received for review June 3, 2005) Nuclear receptors can activate diverse biological pathways within general absence of large scale functional data linking these putative a target cell in response to their cognate ligands, but how this binding sites with gene expression in specific cell types. compartmentalization is achieved at the level of gene regulation is Recently, chromatin immunoprecipitation (ChIP) has been used poorly understood. We used a genome-wide analysis of promoter in combination with promoter or genomic DNA microarrays to occupancy by the estrogen receptor ␣ (ER␣) in MCF-7 cells to identify loci recognized by transcription factors in a genome-wide investigate the molecular mechanisms underlying the action of manner in mammalian cells (20–24). This technology, termed 17␤-estradiol (E2) in controlling the growth of breast cancer cells. ChIP-on-chip or location analysis, can therefore be used to deter- We identified 153 promoters bound by ER␣ in the presence of E2. mine the global gene expression program that characterize the Motif-finding algorithms demonstrated that the estrogen re- action of a nuclear receptor in response to its natural ligand.
    [Show full text]
  • Exploring Autophagy with Gene Ontology
    Autophagy ISSN: 1554-8627 (Print) 1554-8635 (Online) Journal homepage: https://www.tandfonline.com/loi/kaup20 Exploring autophagy with Gene Ontology Paul Denny, Marc Feuermann, David P. Hill, Ruth C. Lovering, Helene Plun- Favreau & Paola Roncaglia To cite this article: Paul Denny, Marc Feuermann, David P. Hill, Ruth C. Lovering, Helene Plun- Favreau & Paola Roncaglia (2018) Exploring autophagy with Gene Ontology, Autophagy, 14:3, 419-436, DOI: 10.1080/15548627.2017.1415189 To link to this article: https://doi.org/10.1080/15548627.2017.1415189 © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. View supplementary material Published online: 17 Feb 2018. Submit your article to this journal Article views: 1097 View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=kaup20 AUTOPHAGY, 2018 VOL. 14, NO. 3, 419–436 https://doi.org/10.1080/15548627.2017.1415189 RESEARCH PAPER - BASIC SCIENCE Exploring autophagy with Gene Ontology Paul Denny a,†,§, Marc Feuermann b,§, David P. Hill c,f,§, Ruth C. Lovering a,§, Helene Plun-Favreau d and Paola Roncaglia e,f,§ aFunctional Gene Annotation, Institute of Cardiovascular Science, University College London, London, UK; bSIB Swiss Institute of Bioinformatics, Geneva, Switzerland; cThe Jackson Laboratory, Bar Harbor, ME, USA; dDepartment of Molecular Neuroscience, UCL Institute of Neurology, London, UK; eEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridge, UK; fThe Gene Ontology Consortium ABSTRACT ARTICLE HISTORY Autophagy is a fundamental cellular process that is well conserved among eukaryotes. It is one of the Received 18 May 2017 strategies that cells use to catabolize substances in a controlled way.
    [Show full text]
  • Exploring Autophagy with Gene Ontology. Paul Denny
    The Jackson Laboratory The Mouseion at the JAXlibrary Faculty Research 2018 Faculty Research 2-17-2018 Exploring autophagy with Gene Ontology. Paul Denny Marc Feuermann David P. Hill The Jackson Laboratory, [email protected] Ruth C Lovering Helene Plun-Favreau See next page for additional authors Follow this and additional works at: https://mouseion.jax.org/stfb2018 Part of the Life Sciences Commons, and the Medicine and Health Sciences Commons Recommended Citation Denny, Paul; Feuermann, Marc; Hill, David P.; Lovering, Ruth C; Plun-Favreau, Helene; and Roncaglia, Paola, "Exploring autophagy with Gene Ontology." (2018). Faculty Research 2018. 44. https://mouseion.jax.org/stfb2018/44 This Article is brought to you for free and open access by the Faculty Research at The ousM eion at the JAXlibrary. It has been accepted for inclusion in Faculty Research 2018 by an authorized administrator of The ousM eion at the JAXlibrary. For more information, please contact [email protected]. Authors Paul Denny, Marc Feuermann, David P. Hill, Ruth C Lovering, Helene Plun-Favreau, and Paola Roncaglia This article is available at The ousM eion at the JAXlibrary: https://mouseion.jax.org/stfb2018/44 Autophagy ISSN: 1554-8627 (Print) 1554-8635 (Online) Journal homepage: http://www.tandfonline.com/loi/kaup20 Exploring autophagy with Gene Ontology Paul Denny, Marc Feuermann, David P. Hill, Ruth C. Lovering, Helene Plun- Favreau & Paola Roncaglia To cite this article: Paul Denny, Marc Feuermann, David P. Hill, Ruth C. Lovering, Helene Plun- Favreau & Paola Roncaglia (2018): Exploring autophagy with Gene Ontology, Autophagy, DOI: 10.1080/15548627.2017.1415189 To link to this article: https://doi.org/10.1080/15548627.2017.1415189 © 2018 The Author(s).
    [Show full text]
  • ER-Targeted Beclin 1 Supports Autophagosome Biogenesis in the Absence of ULK1 and ULK2 Kinases
    cells Article ER-Targeted Beclin 1 Supports Autophagosome Biogenesis in the Absence of ULK1 and ULK2 Kinases Tahira Anwar 1, Xiaonan Liu 2 , Taina Suntio 3, Annika Marjamäki 1, Joanna Biazik 1, Edmond Y. W. Chan 4,5, Markku Varjosalo 2 and Eeva-Liisa Eskelinen 1,6,* 1 Molecular and Integrative Biosciences Research Programme, University of Helsinki, 00014 Helsinki, Finland; tahira.anwar@helsinki.fi (T.A.); [email protected] (A.M.); [email protected] (J.B.) 2 Institute of Biotechnology & HiLIFE, University of Helsinki, 00014 Helsinki, Finland; xiaonan.liu@helsinki.fi (X.L.); markku.varjosalo@helsinki.fi (M.V.) 3 Institute of Biotechnology, University of Helsinki, 00014 Helsinki, Finland; taina.suntio@helsinki.fi 4 Department of Biomedical and Molecular Sciences and Department of Pathology and Molecular Medicine, Queen’s University, Kingston, ON K7L 3N6, Canada; [email protected] 5 Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK 6 Institute of Biomedicine, University of Turku, 20520 Turku, Finland * Correspondence: eeva-liisa.eskelinen@utu.fi; Tel.: +358-505115631 Received: 24 April 2019; Accepted: 15 May 2019; Published: 17 May 2019 Abstract: Autophagy transports cytoplasmic material and organelles to lysosomes for degradation and recycling. Beclin 1 forms a complex with several other autophagy proteins and functions in the initiation phase of autophagy, but the exact role of Beclin 1 subcellular localization in autophagy initiation is still unclear. In order to elucidate the role of Beclin 1 localization in autophagosome biogenesis, we generated constructs that target Beclin 1 to the endoplasmic reticulum (ER) or mitochondria. Our results confirmed the proper organelle-specific targeting of the engineered Beclin 1 constructs, and the proper formation of autophagy-regulatory Beclin 1 complexes.
    [Show full text]
  • NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer
    Florida International University FIU Digital Commons FIU Electronic Theses and Dissertations University Graduate School 11-7-2018 Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer Jairo Ramos [email protected] Follow this and additional works at: https://digitalcommons.fiu.edu/etd Part of the Clinical Epidemiology Commons Recommended Citation Ramos, Jairo, "Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer" (2018). FIU Electronic Theses and Dissertations. 3872. https://digitalcommons.fiu.edu/etd/3872 This work is brought to you for free and open access by the University Graduate School at FIU Digital Commons. It has been accepted for inclusion in FIU Electronic Theses and Dissertations by an authorized administrator of FIU Digital Commons. For more information, please contact [email protected]. FLORIDA INTERNATIONAL UNIVERSITY Miami, Florida DECIPHER MECHANISMS BY WHICH NUCLEAR RESPIRATORY FACTOR ONE (NRF1) COORDINATES CHANGES IN THE TRANSCRIPTIONAL AND CHROMATIN LANDSCAPE AFFECTING DEVELOPMENT AND PROGRESSION OF INVASIVE BREAST CANCER A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in PUBLIC HEALTH by Jairo Ramos 2018 To: Dean Tomás R. Guilarte Robert Stempel College of Public Health and Social Work This dissertation, Written by Jairo Ramos, and entitled Decipher Mechanisms by Which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer, having been approved in respect to style and intellectual content, is referred to you for judgment.
    [Show full text]
  • Mouse Zfyve1 Knockout Project (CRISPR/Cas9)
    https://www.alphaknockout.com Mouse Zfyve1 Knockout Project (CRISPR/Cas9) Objective: To create a Zfyve1 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Zfyve1 gene (NCBI Reference Sequence: NM_183154 ; Ensembl: ENSMUSG00000042628 ) is located on Mouse chromosome 12. 12 exons are identified, with the ATG start codon in exon 2 and the TAA stop codon in exon 12 (Transcript: ENSMUST00000048319). Exon 2 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 the coding region. Exon 2 covers 20.72% of the coding region. The size of effective KO region: ~925 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 12 Legends Exon of mouse Zfyve1 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 1674 bp section upstream of Exon 2 is aligned with itself to determine if there are tandem repeats. Tandem repeats are found in the dot plot matrix. The gRNA site is selected outside of these tandem repeats. Overview of the Dot Plot (down) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section downstream of Exon 2 is aligned with itself to determine if there are tandem repeats.
    [Show full text]
  • Identification of an Individualized Autophagy Prognostic Index in Clear Cell Renal Cell Carcinoma Patients
    2961 Brief Report Identification of an individualized autophagy prognostic index in clear cell renal cell carcinoma patients Yi Jin1,2, Feng Li3, Peiyuan Guo4, Keqin Dong4, Peng Guo5, Haoyuan Wang4, Yujia Chen4, Zhiyu Wang1 1Department of Immuno-Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China; 2Department of Oncology, Affiliated Xingtai People’s Hospital of Hebei Medical University, Xingtai 054001, China; 3Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China; 4School of Basic Medical Sciences, Hebei Medical University, Shijiazhuang 050017, China; 5Department of Orthopedics, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China Correspondence to: Zhiyu Wang. Department of Immuno-Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China. Email: [email protected]. Abstract: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer. ccRCC arises from the proximal tubular epithelium and is associated with high mortality. Autophagy may either promote or suppress tumor cell survival at different stages of cancer development. It is essential to investigate the association between autophagy-related genes (ARGs) and prognosis in ccRCC patients. We used datasets obtained from The Cancer Genome Atlas (TCGA) database to identify the expression level of ARGs in ccRCC patients. Functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using Metascape database. Hub genes were identified by Cytoscape software. We constructed a Cox proportional hazard regression model to identify hub genes that are significantly associated with overall survival (OS) in ccRCC patients. Subsequently, a prognostic index (PI) was calculated and ccRCC patients were stratified into high-risk and low-risk groups based on a median PI value.
    [Show full text]
  • Characterization of Hepatitis B Virus Integrations Identified In
    viruses Article Characterization of Hepatitis B Virus Integrations Identified in Hepatocellular Carcinoma Genomes Pranav P. Mathkar 1, Xun Chen 1,2,* , Arvis Sulovari 1,3 and Dawei Li 1,4,* 1 Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT 05405, USA 2 Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto 606-8501, Japan 3 Cajal Neuroscience Inc., Seattle, WA 98102, USA 4 Department of Biomedical Science, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA * Correspondence: [email protected] (D.L.); [email protected] (X.C.) Abstract: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Almost half of HCC cases are associated with hepatitis B virus (HBV) infections, which often lead to HBV sequence integrations in the human genome. Accurate identification of HBV integration sites at a single nucleotide resolution is critical for developing a better understanding of the cancer genome landscape and of the disease itself. Here, we performed further analyses and characterization of HBV integrations identified by our recently reported VIcaller platform in recurrent or known HCC genes (such as TERT, MLL4, and CCNE1) as well as non-recurrent cancer-related genes (such as CSMD2, NKD2, and RHOU). Our pathway enrichment analysis revealed multiple pathways involving the alcohol dehydrogenase 4 gene, such as the metabolism pathways of retinol, tyrosine, and fatty acid. Further analysis of the HBV integration sites revealed distinct patterns involving the integration upper breakpoints, integrated genome lengths, and integration allele fractions between tumor and normal tissues.
    [Show full text]
  • 38419 DFCP1 (E9Q1S) Rabbit Mab
    Revision 1 C 0 2 - t DFCP1 (E9Q1S) Rabbit mAb a e r o t S Orders: 877-616-CELL (2355) [email protected] 9 Support: 877-678-TECH (8324) 1 4 Web: [email protected] 8 www.cellsignal.com 3 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source/Isotype: UniProt ID: Entrez-Gene Id: WB, IP H Endogenous 82 Rabbit IgG Q9HBF4 53349 Product Usage Information Application Dilution Western Blotting 1:1000 Immunoprecipitation 1:100 Storage Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA, 50% glycerol and less than 0.02% sodium azide. Store at –20°C. Do not aliquot the antibody. Specificity / Sensitivity DFCP1 (E9W1S) Rabbit mAb recognizes endogenous levels of total DFCP1 protein. Species Reactivity: Human Source / Purification Monoclonal antibody is produced by immunizing animals with a synthetic peptide corresponding to residues surrounding Pro336 of human DFCP1 protein. Background Double FYVE-containing protein 1 (DFCP1; gene name ZFYVE1), which was identified from a human bone marrow library, contains two carboxyl terminal FYVE domains that function as binding sites for phosphatidylinositol 3-phosphate (PI3P) (1). PI3P generated predominantly by the class III PI3-kinase VPS34 plays a key role in membrane trafficking as well as autophagy (2,3). DFCP1 is primarily localized to the Golgi and endoplasmic reticulum (ER) (4,5). However, during autophagy DFCP1 re-localizes to subdomains of the ER, the omegasome, which become the sites for autophagosome formation (6,7). 1. Derubeis, A.R.
    [Show full text]
  • Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen
    CLINICAL RESEARCH www.jasn.org Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen Rany M. Salem ,1 Jennifer N. Todd,2,3,4 Niina Sandholm ,5,6,7 Joanne B. Cole ,2,3,4 Wei-Min Chen,8 Darrell Andrews,9 Marcus G. Pezzolesi,10 Paul M. McKeigue,11 Linda T. Hiraki,12 Chengxiang Qiu,13 Viji Nair,14 Chen Di Liao,12 Jing Jing Cao,12 Erkka Valo ,5,6,7 Suna Onengut-Gumuscu,8 Adam M. Smiles,15 Stuart J. McGurnaghan,16 Jani K. Haukka,5,6,7 Valma Harjutsalo,5,6,7,17 Eoin P. Brennan,9 Natalie van Zuydam,18,19 Emma Ahlqvist,20 Ross Doyle,9 Tarunveer S. Ahluwalia ,21 Maria Lajer,21 Maria F. Hughes,9 Jihwan Park,13 Jan Skupien,15 Athina Spiliopoulou,11 Andrew Liu,22 Rajasree Menon,14,23 Carine M. Boustany-Kari,24 Hyun M. Kang,23,25 Robert G. Nelson,26 Ronald Klein,27 Barbara E. Klein,27 Kristine E. Lee ,27 Xiaoyu Gao,28 Michael Mauer,29 Silvia Maestroni,30 Maria Luiza Caramori,29 Ian H. de Boer ,31 Rachel G. Miller,32 Jingchuan Guo ,32 Andrew P. Boright,12 David Tregouet,33,34 Beata Gyorgy,33,34 Janet K. Snell-Bergeon,35 David M. Maahs,36 Shelley B. Bull ,37 Angelo J. Canty,38 Colin N.A. Palmer,39 Lars Stechemesser,40 Bernhard Paulweber,40 Raimund Weitgasser,40,41 Jelizaveta Sokolovska,42 Vita Rovıte,43 Valdis Pırags, 42,44 Edita Prakapiene,45 Lina Radzeviciene,46 Rasa Verkauskiene,46 Nicolae Mircea Panduru,6,47 Leif C.
    [Show full text]
  • Tepzz 8Z6z54a T
    (19) TZZ ZZ_T (11) EP 2 806 054 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 26.11.2014 Bulletin 2014/48 C40B 40/06 (2006.01) C12Q 1/68 (2006.01) C40B 30/04 (2006.01) C07H 21/00 (2006.01) (21) Application number: 14175049.7 (22) Date of filing: 28.05.2009 (84) Designated Contracting States: (74) Representative: Irvine, Jonquil Claire AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HGF Limited HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL 140 London Wall PT RO SE SI SK TR London EC2Y 5DN (GB) (30) Priority: 28.05.2008 US 56827 P Remarks: •Thecomplete document including Reference Tables (62) Document number(s) of the earlier application(s) in and the Sequence Listing can be downloaded from accordance with Art. 76 EPC: the EPO website 09753364.0 / 2 291 553 •This application was filed on 30-06-2014 as a divisional application to the application mentioned (71) Applicant: Genomedx Biosciences Inc. under INID code 62. Vancouver, British Columbia V6J 1J8 (CA) •Claims filed after the date of filing of the application/ after the date of receipt of the divisional application (72) Inventor: Davicioni, Elai R.68(4) EPC). Vancouver British Columbia V6J 1J8 (CA) (54) Systems and methods for expression- based discrimination of distinct clinical disease states in prostate cancer (57) A system for expression-based discrimination of distinct clinical disease states in prostate cancer is provided that is based on the identification of sets of gene transcripts, which are characterized in that changes in expression of each gene transcript within a set of gene transcripts can be correlated with recurrent or non- recur- rent prostate cancer.
    [Show full text]
  • Supplemental Materials and Methods Page
    1 2 Supplementary Information for 3 4 5 Vertebrate adaptive radiation is assembled from an ancient and disjunct spatiotemporal 6 landscape 7 8 Emilie J. Richards, Joseph A. McGirr, Jeremy R. Wang, Michelle E. St. John, Jelmer W. 9 Poelstra, Maria J. Solano, Delaney C. O’Connell, Bruce J. Turner, Christopher H. Martin* 10 11 *Correspondence to: [email protected] 12 13 14 15 This PDF file includes: 16 17 Supplementary text 18 Figures S1 to S17 19 Tables S1 to S19 20 SI References 21 22 Other supplementary materials for this manuscript include the following: 23 24 Datasets S1 to S9 25 26 27 28 29 30 31 32 33 34 35 36 37 1 38 Table of Contents 1. Supplemental Materials and Methods Page 1.1 Sampling 4 1.2 Genomic Library Prep 5 1.3 De novo genome assembly and annotation 5 1.4 Population genotyping. 6 1.5 Population genetic analyses 8 1.6 Mutation rate estimation. 10 1.7 Demographic Inferences 12 1.8 Introgression in SSI specialists 13 1.9 Search for candidate adaptive alleles in SSI specialists 15 1.10 Introgression in outgroup generalist populations 18 1.11. Characterization of adaptive alleles through GO analysis 19 1.12 Characterization of adaptive alleles through genome-wide association mapping 19 1.13 Characterization of adaptive alleles through differential gene expression and QTL 22 analysis from previous studies 1.14 Timing of divergence among adaptive alleles 23 1.15 Timing of selective sweeps on adaptive alleles 26 2. Supplementary Results and Discussion 31 2 2.1 Spatiotemporal stages of adaption based on timing of divergence among adaptive alleles 31 2.2 Spatiotemporal stages of adaptation based on timing of selection on adaptive alleles 35 3.
    [Show full text]