DOCSLIB.ORG

WO2012031008A2.Pdf

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau „ (10) International Publication Number (43) International Publication Date \ r / n n n A 8 March 2012 (08.03.2012) W / (51) International Patent Classification: (72) Inventors; and CI2Q 1/68 (2006.01) (75) Inventors/Applicants (for US only): BALAJ, Leonora [IT/US]; 9 Cedar Street, Charlestown, Massachusetts (21) International Application Number: 02129 (US). NOERHOLM, Mikkel [DK/DE]; PCT/US201 1/050041 Preysingstrasse 21, 8213 1 Gauting (DE). BREAKE- (22) International Filing Date: FIELD, Xandra O . [US/US]; 127 Homer Street, Newton, 31 August 201 1 (3 1.08.201 1) Massachusetts 02459 (US). (25) Filing Language: English (74) Agents: RESNICK, David S . et al; Nixon Peabody LLP, 100 Summer St., Boston, Massachusetts 021 10-21 3 1 (26) Publication Langi English (US). (30) Priority Data: (81) Designated States (unless otherwise indicated, for every 61/378,860 31 August 2010 (3 1.08.2010) US kind of national protection available): AE, AG, AL, AM, 61/421,421 9 December 2010 (09.12.2010) US AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, 61/437,547 28 January 201 1 (28.01 .201 1) us CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, 61/438,1 99 31 January 201 1 (3 1.01 .201 1) us DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, 61/493,261 3 June 201 1 (03.06.201 1) us HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, (71) Applicant (for all designated States except US): THE KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, GENERAL HOSPITAL CORPORATION [US/US]; ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, 55 Fruit Street, Boston, Massachusetts 021 14 (US). NO, NZ, OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, (72) Inventor; and TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, (71) Applicant : SKOG, Johan Karl Olov [SE/US]; 400 ZM, ZW. West 63rd Street, Apt. 407, New York, NY 10069 (US). [Continued on next page] (54) Title: CANCER-RELATED BIOLOGICAL MATERIALS IN MICROVESICLES (57) Abstract: Disclosed herein are AMPLIFICATION PLOT methods for assaying a biological sample rom a subject by analyzing components of microvesicle fractions in aid of risk, diagnosis, prognosis or monitoring of, or directing treatment of the subject for, a disease or other medical condition in the subject. Also disclosed are methods of treat ment and identifying biomarkers u s ing a microvesicle fraction of a sub ject. Kits, pharmaceutical composi tions, and profiles related to the 0.01 methods are also disclosed. / / 3. 0 10 12 14 1 6 18 0 22 24 2 28 30 32 34 3 38 4 CYCLE < ∞ 1 r. o o w o 2012/031008 A2 1II III II II III III I llll 1 1II III I III II I II (84) Designated States (unless otherwise indicated, for every SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, kind of regional protection available): ARIPO (BW, GH, GW, ML, MR, NE, SN, TD, TG). GM, KE, LR, LS, MW, ML, NA, SD, SL, SZ, TZ, UG, Published: ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, without international search report and to be republished EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, upon receipt of that report (Rule 48.2(g)) LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, CANCER-RELATED BIOLOGICAL MATERIALS IN MICROVESICLES CROSS REFERENCE TO RELATED APPLICATIONS [0001] This application claims the benefit of 35 U.S.C. § 119(e) to U.S. Provisional Application serial numbers 61/378,860 filed August 31, 2010; 61/421,421 filed December 9, 2010; 61/437,547 filed January 28, 2011; 61/438,199 filed January 31, 2011; and 61/493,261 filed June 03, 2011, the contents of each of which are incorporated herein by reference in their entirety. GOVERNMENT SUPPORT [0002] This invention was made with Government support under grants CA86355, CA69246, CA141226, and CA141150 awarded by National Cancer Institute. The Government has certain rights in the invention. FIELD OF INVENTION [0003] The present invention relates to the fields of biomarker analysis, diagnosis, prognosis, patient monitoring, therapy selection, risk assessment, and novel therapeutic agents for human or other animal subjects, particularly the profiling of biological materials from a microvesicle fraction of a biological sample, and novel therapies related to microvesicles. BACKGROUND OF THE INVENTION [0004] Increasing knowledge of the genetic and epigenetic changes occurring in cancer cells provides an opportunity to detect, characterize, and monitor tumors by analysing tumor-related nucleic acid sequences and profiles. Cancer-related changes include specific mutations in gene sequences (Cortez and Calin, 2009; Diehl et al., 2008; Network, 2008; Parsons et al., 2008), up- and down-regulation of mRNA and miRNA expression (Cortez and Calin, 2009; Itadani et al., 2008; Novakova et al., 2009), mRNA splicing variations, changes in DNA methylation patterns (Cadieux et al., 2006; Kristensen and Hansen, 2009), amplification and deletion of genomic regions (Cowell and Lo, 2009), and aberrant expression of repeated DNA sequences (Ting et al., 2011). Various molecular diagnostic tests such as mutational analysis, methylation status of genomic DNA, and gene expression analysis may detect these changes. [0005] Research uncovering the molecular mechanisms underlying cancer improves our understanding of how to select and design optimal treatment regimes for a patient' s disease based on the molecular makeup of his or her particular cancer. Over the past few years, this has led to a significant increase in the development of therapies specifically targeting gene mutations involved in disease progression. In parallel, the use of molecular diagnostic testing for cancer diagnosis, prognosis and treatment selection has expanded, driven by the need for more cost efficient applications of expensive therapies. Current molecular diagnostics has so far almost exclusively relied on assaying cancer cells from tissue biopsy by needle aspiration or surgical resection. [0006] However, the ability to perform these tests using a blood sample is sometimes more desirable than using a tissue sample from a cancer patient because, frequently, fresh tissue samples are difficult or impossible to obtain, and archival tissue samples are often less relevant to the current status of the patient's disease. A less invasive approach using a more easily accessible biological sample, e.g., a blood sample, has wide ranging implications in terms of patient welfare, the ability to conduct longitudinal disease monitoring, and the ability to obtain expression profiles even when tissue cells are not easily accessible, e.g., in ovarian or brain cancer patients. [0007] Currently, gene expression profiling of blood samples involves the analysis of RNA extracted from peripheral blood mononuclear cells (PBMC) (Hakonarson et al., 2005) or circulating tumor cells (CTC) (Cristofanilli and Mendelsohn, 2006). [0008] Many types of cancer cells release an abundance of small membrane-bound vesicles, which have been observed on their surface in culture (Skog et al., 2008). These microvesicles are generated and released through several processes and vary in size (from about 30 nm to about 1 µ in diameter) and content (Simons and Raposo, 2009). Microvesicles can bud/bleb off the plasma membrane of cells, much like retrovirus particles (Booth et al., 2006), be released by fusion of endosomal-derived multivesicular bodies with the plasma membrane (Lakkaraju and Rodriguez-Boulan, 2008), or be formed as apoptotic bodies during programmed cell death (Halicka et al., 2000). In addition, defective (i.e., non infectious without helper-virus) retrovirus particles derived from human endogenous retroviral (HERV) elements may be found within microvesicle populations (Voisset et al., 2008). [0009] Microvesicles from various cell sources have been studied with respect to protein and lipid content (Iero et al., 2008; Thery et al., 2002; Wieckowski and Whiteside, 2006). They have also been observed to contain cellular RNAs and mitochondria DNA (Baj- Krzyworzeka et al., 2006; Guescini et al.; Skog et al., 2008; Valadi et al., 2007) and may facilitate the transfer of genetic information between cells and/or act as a "release hatch" for DNA, RNA, and/or proteins that the cell is trying to eliminate. Both mRNA and miRNA in microvesicles are observed to be functional following uptake by recipient cells (Burghoff et al., 2008; Deregibus et al., 2007; Ratajczak et al., 2006; Skog et al., 2008; Valadi et al., 2007; Yuan et al., 2009) and it has also been shown that apoptotic bodies can mediate horizontal gene transfer between cells (Bergsmedh et al., 2001). [0010] Knowing the expression profile, mutational profile, or both expression and mutational profiles of individual cancer is helpful for personalized medicine as many drugs target specific pathways affected by the genetic status of the tumors. Detection of genetic biomarkers in blood samples from tumor patients is challenging due to the need for high sensitivity against a background of normal cellular nucleic acids found circulating in blood. Microvesicles released by tumor cells into the circulation can provide a window into the genetic status of individual tumors (Skog et al., 2008). [0011] The present invention is directed to microvesicular nucleic acid profiles of microvesicle fractions obtained from a biological sample from a subject, methods for aiding in diagnosis, prognosis, patient monitoring, treatment selection, and risk assessment based on detecting the presence or absence of a genetic aberration in a nucleic acid profile, or changes in a polypeptide profile of a microvesicle fraction obtained from a biological sample from a patient, and therapeutic agents and methods of cancer treatment or prevention.
Recommended publications
  • Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids

    Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids

    Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10.
  • Core Transcriptional Regulatory Circuitries in Cancer

    Core Transcriptional Regulatory Circuitries in Cancer

    Oncogene (2020) 39:6633–6646 https://doi.org/10.1038/s41388-020-01459-w REVIEW ARTICLE Core transcriptional regulatory circuitries in cancer 1 1,2,3 1 2 1,4,5 Ye Chen ● Liang Xu ● Ruby Yu-Tong Lin ● Markus Müschen ● H. Phillip Koeffler Received: 14 June 2020 / Revised: 30 August 2020 / Accepted: 4 September 2020 / Published online: 17 September 2020 © The Author(s) 2020. This article is published with open access Abstract Transcription factors (TFs) coordinate the on-and-off states of gene expression typically in a combinatorial fashion. Studies from embryonic stem cells and other cell types have revealed that a clique of self-regulated core TFs control cell identity and cell state. These core TFs form interconnected feed-forward transcriptional loops to establish and reinforce the cell-type- specific gene-expression program; the ensemble of core TFs and their regulatory loops constitutes core transcriptional regulatory circuitry (CRC). Here, we summarize recent progress in computational reconstitution and biologic exploration of CRCs across various human malignancies, and consolidate the strategy and methodology for CRC discovery. We also discuss the genetic basis and therapeutic vulnerability of CRC, and highlight new frontiers and future efforts for the study of CRC in cancer. Knowledge of CRC in cancer is fundamental to understanding cancer-specific transcriptional addiction, and should provide important insight to both pathobiology and therapeutics. 1234567890();,: 1234567890();,: Introduction genes. Till now, one critical goal in biology remains to understand the composition and hierarchy of transcriptional Transcriptional regulation is one of the fundamental mole- regulatory network in each specified cell type/lineage.
  • Examination of the Transcription Factors Acting in Bone Marrow

    Examination of the Transcription Factors Acting in Bone Marrow

    THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY (PHD) Examination of the transcription factors acting in bone marrow derived macrophages by Gergely Nagy Supervisor: Dr. Endre Barta UNIVERSITY OF DEBRECEN DOCTORAL SCHOOL OF MOLECULAR CELL AND IMMUNE BIOLOGY DEBRECEN, 2016 Table of contents Table of contents ........................................................................................................................ 2 1. Introduction ............................................................................................................................ 5 1.1. Transcriptional regulation ................................................................................................... 5 1.1.1. Transcriptional initiation .................................................................................................. 5 1.1.2. Co-regulators and histone modifications .......................................................................... 8 1.2. Promoter and enhancer sequences guiding transcription factors ...................................... 11 1.2.1. General transcription factors .......................................................................................... 11 1.2.2. The ETS superfamily ..................................................................................................... 17 1.2.3. The AP-1 and CREB proteins ........................................................................................ 20 1.2.4. Other promoter specific transcription factor families ...................................................
  • Early B-Cell Factors Are Required for Specifying Multiple Retinal Cell Types and Subtypes from Postmitotic Precursors

    Early B-Cell Factors Are Required for Specifying Multiple Retinal Cell Types and Subtypes from Postmitotic Precursors

    11902 • The Journal of Neuroscience, September 8, 2010 • 30(36):11902–11916 Development/Plasticity/Repair Early B-Cell Factors Are Required for Specifying Multiple Retinal Cell Types and Subtypes from Postmitotic Precursors Kangxin Jin,1,2 Haisong Jiang,1,2 Zeqian Mo,3 and Mengqing Xiang1,2 1Center for Advanced Biotechnology and Medicine and Department of Pediatrics, 2Graduate Program in Molecular Genetics, Microbiology and Immunology, and 3Department of Cell Biology and Neuroscience, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, Piscataway, New Jersey 08854 The establishment of functional retinal circuits in the mammalian retina depends critically on the proper generation and assembly of six classes of neurons, five of which consist of two or more subtypes that differ in morphologies, physiological properties, and/or sublaminar positions. How these diverse neuronal types and subtypes arise during retinogenesis still remains largely to be defined at the molecular level. Here we show that all four family members of the early B-cell factor (Ebf) helix-loop-helix transcription factors are similarly expressedduringmouseretinogenesisinseveralneuronaltypesandsubtypesincludingganglion,amacrine,bipolar,andhorizontalcells, and that their expression in ganglion cells depends on the ganglion cell specification factor Brn3b. Misexpressed Ebfs bias retinal precursors toward the fates of non-AII glycinergic amacrine, type 2 OFF-cone bipolar and horizontal cells, whereas a dominant-negative Ebf suppresses the differentiation of these cells as well as ganglion cells. Reducing Ebf1 expression by RNA interference (RNAi) leads to an inhibitory effect similar to that of the dominant-negative Ebf, effectively neutralizes the promotive effect of wild-type Ebf1, but has no impact on the promotive effect of an RNAi-resistant Ebf1.
  • Genomic Analyses Reveal Foxg As an Upstream Regulator of Wnt1 Required For

    Genomic Analyses Reveal Foxg As an Upstream Regulator of Wnt1 Required For

    bioRxiv preprint doi: https://doi.org/10.1101/2020.12.08.416008; this version posted December 9, 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. Genomic analyses reveal FoxG as an upstream regulator of wnt1 required for posterior identity specification in planarians E. Pascual-Carreras1, M. Marín-Barba3, S. Castillo-Lara1, P. Coronel-Córdoba1, M.S. Magri2, G.N. Wheeler3 J.F. Abril1, J.L. Gomez-Skarmeta2, E. Saló1* & T. Adell1* 1 Department of Genetics, Microbiology and Statistics, Universitat de Barcelona (UB) & Institute of Biomedicine of Universitat de Barcelona (IBUB), Barcelona, Spain. 2 Centro Andaluz de Biología del Desarollo (CABD), Universidad Pablo de Olavide, Sevilla, Spain. 3 School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, UK. *Corresponding authors: Emili Saló ([email protected]) and Teresa Adell ([email protected]) 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.12.08.416008; this version posted December 9, 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 Embryonic specification of the first body axis requires the formation of an Organizer, a group of cells with the ability to instruct fates in the surrounding tissue. The existence of organizing regions in adults, i.e.
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus

    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.
  • ARTICLE Doi:10.1038/Nature10523

    ARTICLE Doi:10.1038/Nature10523

    ARTICLE doi:10.1038/nature10523 Spatio-temporal transcriptome of the human brain Hyo Jung Kang1*, Yuka Imamura Kawasawa1*, Feng Cheng1*, Ying Zhu1*, Xuming Xu1*, Mingfeng Li1*, Andre´ M. M. Sousa1,2, Mihovil Pletikos1,3, Kyle A. Meyer1, Goran Sedmak1,3, Tobias Guennel4, Yurae Shin1, Matthew B. Johnson1,Zˇeljka Krsnik1, Simone Mayer1,5, Sofia Fertuzinhos1, Sheila Umlauf6, Steven N. Lisgo7, Alexander Vortmeyer8, Daniel R. Weinberger9, Shrikant Mane6, Thomas M. Hyde9,10, Anita Huttner8, Mark Reimers4, Joel E. Kleinman9 & Nenad Sˇestan1 Brain development and function depend on the precise regulation of gene expression. However, our understanding of the complexity and dynamics of the transcriptome of the human brain is incomplete. Here we report the generation and analysis of exon-level transcriptome and associated genotyping data, representing males and females of different ethnicities, from multiple brain regions and neocortical areas of developing and adult post-mortem human brains. We found that 86 per cent of the genes analysed were expressed, and that 90 per cent of these were differentially regulated at the whole-transcript or exon level across brain regions and/or time. The majority of these spatio-temporal differences were detected before birth, with subsequent increases in the similarity among regional transcriptomes. The transcriptome is organized into distinct co-expression networks, and shows sex-biased gene expression and exon usage. We also profiled trajectories of genes associated with neurobiological categories and diseases, and identified associations between single nucleotide polymorphisms and gene expression. This study provides a comprehensive data set on the human brain transcriptome and insights into the transcriptional foundations of human neurodevelopment.
  • Epigenetic Mechanisms of Lncrnas Binding to Protein in Carcinogenesis

    Epigenetic Mechanisms of Lncrnas Binding to Protein in Carcinogenesis

    cancers Review Epigenetic Mechanisms of LncRNAs Binding to Protein in Carcinogenesis Tae-Jin Shin, Kang-Hoon Lee and Je-Yoel Cho * Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine, Seoul National University, Seoul 08826, Korea; [email protected] (T.-J.S.); [email protected] (K.-H.L.) * Correspondence: [email protected]; Tel.: +82-02-800-1268 Received: 21 September 2020; Accepted: 9 October 2020; Published: 11 October 2020 Simple Summary: The functional analysis of lncRNA, which has recently been investigated in various fields of biological research, is critical to understanding the delicate control of cells and the occurrence of diseases. The interaction between proteins and lncRNA, which has been found to be a major mechanism, has been reported to play an important role in cancer development and progress. This review thus organized the lncRNAs and related proteins involved in the cancer process, from carcinogenesis to metastasis and resistance to chemotherapy, to better understand cancer and to further develop new treatments for it. This will provide a new perspective on clinical cancer diagnosis, prognosis, and treatment. Abstract: Epigenetic dysregulation is an important feature for cancer initiation and progression. Long non-coding RNAs (lncRNAs) are transcripts that stably present as RNA forms with no translated protein and have lengths larger than 200 nucleotides. LncRNA can epigenetically regulate either oncogenes or tumor suppressor genes. Nowadays, the combined research of lncRNA plus protein analysis is gaining more attention. LncRNA controls gene expression directly by binding to transcription factors of target genes and indirectly by complexing with other proteins to bind to target proteins and cause protein degradation, reduced protein stability, or interference with the binding of other proteins.
  • Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K

    Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K

    www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1.
  • Chromatin Remodeling in Epstein-Barr Virus After Induction of the Lytic Phase: Molecular Characterization of the Role of Bzlf1 and Its Interactions

    Chromatin Remodeling in Epstein-Barr Virus After Induction of the Lytic Phase: Molecular Characterization of the Role of Bzlf1 and Its Interactions

    DISSERTATION ZUR ERLANGUNG DES DOKTORGRADES DER FAKULTÄT FÜR BIOLOGIE DER LUDWIG-MAXIMILIANS-UNIVERSITÄT MÜNCHEN CHROMATIN REMODELING IN EPSTEIN-BARR VIRUS AFTER INDUCTION OF THE LYTIC PHASE: MOLECULAR CHARACTERIZATION OF THE ROLE OF BZLF1 AND ITS INTERACTIONS MARISA SCHÄFFNER Dissertation eingereicht am 30. April 2015 Erstgutachter: Prof. Dr. Dirk Eick Zweitgutachter: Prof. Dr. Heinrich Leonhardt Tag der mündlichen Prüfung: 26.11.2015 ERKLÄRUNG Hiermit erkläre ich, dass die vorliegende Arbeit mit dem Titel „CHROMATIN REMODELING IN EPSTEIN-BARR VIRUS AFTER INDUCTION OF THE LYTIC PHASE: MOLECULAR CHARACTERIZATION OF THE ROLE OF BZLF1 AND ITS INTERACTIONS“ von mir selbstständig und ohne unerlaubte Hilfsmittel angefertigt wurde, und ich mich dabei nur der ausdrücklich bezeichneten Quellen und Hilfsmittel bedient habe. Die Arbeit wurde weder in der jetzigen noch in einer abgewandelten Form einer anderen Prüfungskommission vorgelegt. München, 30. April 2015 Marisa Schäffner CONTENT 1. Introduction....................................................................................................................... 7 1.1 The architecture of chromatin.......................................................................................... 7 1.1.1 Nucleosomes are histone octamers ........................................................................ 7 1.1.1.1 Nucleosome components.................................................................................. 7 1.1.1.2 Histone modifications and histone variants.....................................................
  • CDH12 Cadherin 12, Type 2 N-Cadherin 2 RPL5 Ribosomal

    CDH12 Cadherin 12, Type 2 N-Cadherin 2 RPL5 Ribosomal

    5 6 6 5 . 4 2 1 1 1 2 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 A A A A A A A A A A A A A A A A A A A A C C C C C C C C C C C C C C C C C C C C R R R R R R R R R R R R R R R R R R R R B , B B B B B B B B B B B B B B B B B B B , 9 , , , , 4 , , 3 0 , , , , , , , , 6 2 , , 5 , 0 8 6 4 , 7 5 7 0 2 8 9 1 3 3 3 1 1 7 5 0 4 1 4 0 7 1 0 2 0 6 7 8 0 2 5 7 8 0 3 8 5 4 9 0 1 0 8 8 3 5 6 7 4 7 9 5 2 1 1 8 2 2 1 7 9 6 2 1 7 1 1 0 4 5 3 5 8 9 1 0 0 4 2 5 0 8 1 4 1 6 9 0 0 6 3 6 9 1 0 9 0 3 8 1 3 5 6 3 6 0 4 2 6 1 0 1 2 1 9 9 7 9 5 7 1 5 8 9 8 8 2 1 9 9 1 1 1 9 6 9 8 9 7 8 4 5 8 8 6 4 8 1 1 2 8 6 2 7 9 8 3 5 4 3 2 1 7 9 5 3 1 3 2 1 2 9 5 1 1 1 1 1 1 5 9 5 3 2 6 3 4 1 3 1 1 4 1 4 1 7 1 3 4 3 2 7 6 4 2 7 2 1 2 1 5 1 6 3 5 6 1 3 6 4 7 1 6 5 1 1 4 1 6 1 7 6 4 7 e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m
  • Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses

    Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses

    bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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 The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes.