Supp Data.Pdf

Total Page:16

File Type:pdf, Size:1020Kb

Supp Data.Pdf Supplementary Methods Verhaak sub-classification The Verhaak called tumor subtype was assigned as determined in the Verhaak et al. manuscript, for those TCGA tumors that were included at the time. TCGA data for expression (Affymetrix platform, level 1) and methylation (Infinium platform level 3) were downloaded from the TCGA portal on 09/29/2011. Affymetrix data were processed using R and Biocondutor with a RMA algorithm using quantile normalization and custom CDF. Level 3 methylation data has already been processed and converted to a beta-value. The genes that make up the signature for each of the 4 Verhaak groups (i.e. Proneural, Neural, Mesenchymal, and Classical) were downloaded. For each tumor, the averaged expression of the 4 genes signatures was calculated generating 4 ‘metagene’ scores, one for each subtype, (Colman et al.2010) for every tumor. Then each subtype metagene score was z-score corrected to allow comparison among the 4 metagenes. Finally, for each tumor the subtype with the highest metagene z-score among the four was used to assign subtype. Thus by this method, a tumor is assigned to the group to which it has the strongest expression signature. The shortcoming is that if a tumor has a ‘dual personality’ – for instance has strong expression of both classical and mesenchymal signature genes, there is some arbitrariness to the tumor’s assignment. Western Blot Analysis and cell fractionation Western blot analysis was performed using standard protocols. To determine protein expression we used the following antibodies: TAZ (Sigma and BD Biosciences), YAP (Santa Cruz Biotechnology), CD44 (Cell Signaling), FN1 (BD Biosciences), TEAD1, TEAD2, TEAD3, TEAD4 (Santa Cruz Biotechnology), MST1, p-MST1, MOB1, LATS1, LATS2, 14-3-3-, 1 ACTG2, (Cell Signaling), p-LATS1/2 (Abcam), Flag (Sigma Aldrich), Actin (Calbiochem), CAV2 (BD Biosciences), CTGF (Santa Cruz), RUNX2 (Sigma Aldrich), Cylin A, Cyclin E, Cyclin B1, p-cdk1, p-cdk4 (Cell Signaling Technologies). Protein extraction of GSCs was performed using 0.5% NP-40 lysis buffer containing 50 mM Tris-HCl (pH7.5), 150 mM NaCl, 50 mM NaF and supplemented with protease inhibitors (Roche) and PMSF just before use. For human glioma specimens, frozen tumors were dissected out and lysed with buffer containing 7M urea, 2M thiourea, 1% CHAPS, 50 mM Tris-HCl (pH 7.5). Protein concentrations were determined using the CB-X Protein Assay (G Biosciences). Nuclear and cytosolic fractionation was performed as previously described (Bhat et al.2004). IHC IHC analyses were performed on paraffin blocks, deparaffinized, and hydrated through an ethanol series. After microwave antigen retrieval, antibodies against TAZ (BD Biosciences or Novus), FN1 (BD Biosciences), CD44 (BD Biosciences) or J1-31 (Millipore) were incubated with the slides overnight at 4 °C. Staining was performed using the DAKO Envision kit according to the manufacturer’s instructions (DAKO, Carpinteria, CA). Methyl light assay DNA was extracted from cell lines using a DNA isolation kit (Epicenter) and the protocol was followed per manufacturer. DNA was then bisulfite converted using a kit from Zymo per manufacturer instructions. Methylation status of TAZ was detected using a fluorescence based Methyl Light PCR technique with COL2A1 as reference gene as previously described (Eads et al.1999, Eads et al.2000). Primers (F: TTATTACGTTTCGATTTCGGAAGTTCG and R: CGCCCAAATAATACCCGCTAAAAC) and probe (CGCGCTCATCCGACACCACTCCAA) 2 were designed against the 2nd CpG island in the TAZ promoter using Primer Express software (Applied Biosystems) against the amplicon; 5’- GGGTAAGAGGAGACGGGTGTTTTTTATTTATTTTTTTCGGTCGCGCGGATTTTTTTCG TTTAGATTTGTATTTGTATTTTTTTGAGTTTATTACGGATTTGGGGCGGGATT-3’. Bisulfite sequencing Genomic DNA was bisulfite converted as described above and the DNA was then inserted into a Topo vector using the TopoTA Cloning for Sequencing kit (Invitrogen). Ten colonies were picked and plasmid DNA was isolated using a miniprep kit (Qiagen). Sequencing was done at the MDACC core facility and compared to the promoter sequence available on the Transcriptional Regulatory Element Database website (http://rulai.cshl.edu/cgi- bin/TRED/tred.cgi?process=home) to identify methylated CpG’s. RT-PCR mRNA was obtained using the QIAshredder kit (Qiagen) and the RNeasy Plus Mini Kit (Qiagen) followed by a two-step RT-PCR method. Briefly, 0.3–0.5 μg total RNA was reverse transcribed to generate first strand DNA (Invitrogen). To amplify the cDNA, Taqman primer probes in conjunction with 1× Taqman Universal PCR Master Mix (Applied Biosystems) were used for the following genes: WWTR1, ACTB1,CTGF, CD44, FN1, ADAMTS1, and IL8. RNase inhibitor (0.4 units/μl; Roche) was included in every reaction. Reaction mixtures were incubated at 95 °C for 10 minutes for 1 cycle and then 15 s at 95 °C and 1 min at 60 °C for 40 cycles. The fluorescent signal was measured using the Applied Biosystems 7500, and the relative level of fold changes were calculated using the absolute Ct method. For the RCAS tumors, core punches representing more than 90% of tumor tissue was used from paraffin embedded tissues. 3 Total cellular RNA was isolated form the core punches using the Epicentre RNA isolation kit according to the manufacturers protocol (Epicentre Biotechnologies, Madison, WI) following de- paraffinization and proteinase K treatment. Real time PCR was performed as above using mouse specific Taqman probes for CD44, FN1, CTGF and RPS3. Small interfering RNA transfection Transient knockdown was performed using siRNA constructs from Dharmacon against: scrambled control, TAZ, STAT3, C/EBP-, and CTGF.. Cells were transfected with siRNAs using Lipofectamine 2000 (Invitrogen) according to manufacturer recommendations. The final siRNA concentration was 60 nM and cells were collected and analyzed 72 h later. Matrigel Invasion Assay Cells were plated on transwells (ISC Bioexpress) coated with Matrigel (BD Biosciences) and allowed to invade through the matrigel overnight. Hema 3 staining kit (Thermo Fisher) was used to stain the cells that invaded through the Matrigel. The dye was extracted using 5% Sodium Deoxycholate (Sigma) and an OD reading was done at 595 nm. EdU labeling and flow cytometric analysis Cells were chased with EdU for 2h followed by detection of S phase cells usingthe Click-iT EdU kit (Invitrogen A10202) per kit instructions. Neurosphere Assay Viability was calculated using the ViCell counter and 3 cells were plated per well in a 96-well flat bottom plate in triplicate. The number of wells containing neurospheres was counted three weeks after plating. 4 Immunoprecipitation Protein G dynabeads (Invitrogen) were cross linked with primary antibody for 1 hour. Then cell lysates were added to the beads and incubated overnight at +4°C. Beads were washed and western analyses were performed to confirm interacting proteins. Osteogenesis and chondrogenesis assays Cells were seeded at a density of 5x104 cells in a 6-well plate. After 24 hours, cell differentiation was induced with Osteogenesis Induction Medium (Lonza). Cells were fed every 3-4 days by completely replacing the medium with fresh Osteogenesis Induction Medium. After 3-4 weeks, cells were rinsed in PBS, fixed with 70% ethanol and stained with Alizarin Red. For chondrogenic assay, cell pellets were prepared by spinning down 3x105 cells in 15 ml polypropylene tubes and grown in Complete Chondrogenic Medium (Lonza). Cell pellets were fed every 2-3 days by completely replacing the medium with freshly prepared Complete Chondrogenic Medium. After 3-4 weeks, pellets were fixed in buffered 10% formalin and embedded in paraffin. 5m sections were slide-mounted and stained for glycosaminoglycans with Safranin O. NSC differentiation assays To induce the differentiation of NSCs, neurospheres were exposed to Accutase for 5–10 minutes and dissociated by triturating. Subsequently, the cells were plated in poly-d-lysine and laminin- coated 12mm glass coverslips, at approximately 15-20,000 cells per well in neurobasal medium supplemented with 5% FBS or without growth factors for 6 days at 5% CO2 and 37°C. At the end of the differentiation period, cells were fixated with 4% PFA washed with PBS and incubated in PBS containing 2% BSA and 10% NGS 1hr at room temperature to block 5 nonspecific antibody binding sites. Cells were then incubated with primary antibodies for 1 hr at room temperature, or at 4°C overnight. After the washing step, cells were incubated with appropriate secondary antibody for 1 hr at room temperature. To visualize nuclei, cells were counterstained with Hoechst 3342 (Sigma). Coverslips were than mounted and examined under a Zeiss fluorescent microscope. Supplementary Figure Legends Supplementary Figure S1. A. The MES subnetwork generated from the ARACNE analysis displaying network map (n=231 genes). The nodes were then color coded to show the membership of a given gene to a regulatory network. B. The expanded MES subnetwork showing first neighbors from the initial subnetwork (n=906 genes). C. Dot plot of TAZ mRNA expression versus MES metagene score in TCGA GBM dataset (Affymetrix platform). Points are color coded as red or blue based on if the given tumor has a more MES or PN signature using composite Phillips and Verhaak definitions. D. Cartoon depicting the HIPPO signaling pathway. Arrows indicate activation, blunt heads indicate repression. E. CpG sites in the TAZ promoter 1000 bp upstream of the transcription start site of TAZ is shown. Blue regions highlight CpG islands as identified using Methprimer software (http://www.urogene.org/methprimer/index1.html). F. Methylation status of HIPPO pathway gene promoters in 62 PN (blue) or 147 MES (red) GBMs from TCGA dataset (Illumina Infinium platform). Black bar is the mean of the methylation beta- score of either probe 1 (P1) or probe 2 (P2). Two-sample t-test between the groups was performed to assess statistical significance. G. Methylation status of TAZ and YAP1 across the four subtypes of GBM based on Verhaak called classification. Black bars in each column represent the mean of the group. H. Methylation status of TAZ and YAP1 across the four subtypes of GBM based on Verhaak calculated method.
Recommended publications
  • KPNA1 Antibody Cat
    KPNA1 Antibody Cat. No.: 5981 Western blot analysis of KPNA1 in Hela cell lysate with KPNA1 antibody at 1μg/mL. Immunocytochemistry of KPNA1 in HeLa cells with KPNA1 antibody at 2.5 μg/mL. Immunofluorescence of KPNA1 in K562 cells with KPNA1 antibody at 20 μg/mL. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human, Mouse, Rat HOMOLOGY: Predicted species reactivity based on immunogen sequence: Bovine: (100%) KPNA1 antibody was raised against a 15 amino acid synthetic peptide near the amino terminus of human KPNA1. IMMUNOGEN: The immunogen is located within amino acids 30 - 80 of KPNA1. TESTED APPLICATIONS: ELISA, ICC, IF, WB September 30, 2021 1 https://www.prosci-inc.com/kpna1-antibody-5981.html KPNA1 antibody can be used for detection of KPNA1 by Western blot at 1 μg/mL. Antibody can also be used for immunocytochemistry starting at 2.5 μg/mL. For immunofluorescence start at 20 μg/mL. APPLICATIONS: Antibody validated: Western Blot in human samples; Immunocytochemistry in human samples and Immunofluorescence in human samples. All other applications and species not yet tested. POSITIVE CONTROL: 1) Cat. No. 1201 - HeLa Cell Lysate 2) Cat. No. 17-001 - HeLa Cell Slide 3) Cat. No. 17-004 - K-562 Cell Slide Properties PURIFICATION: KPNA1 Antibody is affinity chromatography purified via peptide column. CLONALITY: Polyclonal ISOTYPE: IgG CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: KPNA1 Antibody is supplied in PBS containing 0.02% sodium azide. CONCENTRATION: 1 mg/mL KPNA1 antibody can be stored at 4˚C for three months and -20˚C, stable for up to one STORAGE CONDITIONS: year.
    [Show full text]
  • TEAD3 (NM 003214) Human Tagged ORF Clone Product Data
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC210621 TEAD3 (NM_003214) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: TEAD3 (NM_003214) Human Tagged ORF Clone Tag: Myc-DDK Symbol: TEAD3 Synonyms: DTEF-1; ETFR-1; TEAD-3; TEAD5; TEF-5; TEF5 Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RC210621 ORF sequence Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATAGCGTCCAACAGCTGGAACGCCAGCAGCAGCCCCGGGGAGGCCCGGGAGGATGGGCCCGAGGGCCTGG ACAAGGGGCTGGACAACGATGCGGAGGGCGTGTGGAGCCCGGACATCGAGCAGAGCTTCCAGGAGGCCCT GGCCATCTACCCGCCCTGCGGCCGGCGGAAGATCATCCTGTCAGACGAGGGCAAGATGTACGGCCGAAAT GAGTTGATTGCACGCTATATTAAACTGAGGACGGGGAAGACTCGGACGAGAAAACAGGTGTCCAGCCACA TACAGGTTCTAGCTCGGAAGAAGGTGCGGGAGTACCAGGTTGGCATCAAGGCCATGAACCTGGACCAGGT CTCCAAGGACAAAGCCCTTCAGAGCATGGCGTCCATGTCCTCTGCCCAGATCGTCTCTGCCAGTGTCCTG CAGAACAAGTTCAGCCCACCTTCCCCTCTGCCCCAGGCCGTCTTCTCCACTTCCTCGCGGTTCTGGAGCA GCCCCCCTCTCCTGGGACAGCAGCCTGGACCCTCTCAGGACATCAAGCCCTTTGCACAGCCAGCCTACCC CATCCAGCCGCCCCTGCCGCCGACGCTCAGCAGTTATGAGCCCCTGGCCCCGCTCCCCTCAGCTGCTGCC TCTGTGCCTGTGTGGCAGGACCGTACCATTGCCTCCTCCCGGCTGCGGCTCCTGGAGTATTCAGCCTTCA TGGAGGTGCAGCGAGACCCTGACACGTACAGCAAACACCTGTTTGTGCACATCGGCCAGACGAACCCCGC CTTCTCAGACCCACCCCTGGAGGCAGTAGATGTGCGCCAGATCTATGACAAATTCCCCGAGAAAAAGGGA GGATTGAAGGAGCTCTATGAGAAGGGGCCCCCTAATGCCTTCTTCCTTGTCAAGTTCTGGGCCGACCTCA
    [Show full text]
  • IN COLON CANCER a Dissertation by SATYA SREEHARI PATHI Su
    MECHANISMS OF ACTION OF NON-STEROIDAL ANTI-INFLAMMATORY DRUGS (NSAIDs) IN COLON CANCER A Dissertation by SATYA SREEHARI PATHI Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2012 Major Subject: Toxicology MECHANISMS OF ACTION OF NON-STEROIDAL ANTI-INFLAMMATORY DRUGS (NSAIDs) IN COLON CANCER A Dissertation by SATYA SREEHARI PATHI Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, Stephen H. Safe Committee Members, Robert C. Burghardt Timothy Phillips Yanan Tian Interdisciplinary Faculty Chair of Toxicology, Weston Porter August 2012 Major Subject: Toxicology iii ABSTRACT Mechanisms of Action of Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) in Colon Cancer. (August 2012) Satya Sreehari Pathi, B.V.M., Acharya N. G. Ranga Agricultural University, India; M.S., Texas A&M University, Kingsville Chair of Advisory Committee: Dr. Stephen H. Safe Non-steroidal anti-inflammatory drugs (NSAIDs) and their NO derivatives (NO- NSAIDs), and synthetic analogs are highly effective as anticancer agents that exhibit relatively low toxicity compared to most clinically used drugs. However, the mechanisms of action for NSAIDs and NO-NSAIDs are not well defined and this has restricted their clinical applications and applications for combined therapies. Earlier studies from our laboratory reported that specificity protein (Sp) transcription factors (Sp1, Sp3 and Sp4) are overexpressed in several types of human cancers including colon cancer and many Sp-regulated genes are pro-oncogenic and individual targets for cancer chemotherapy.
    [Show full text]
  • Toxicogenomics Article
    Toxicogenomics Article Discovery of Novel Biomarkers by Microarray Analysis of Peripheral Blood Mononuclear Cell Gene Expression in Benzene-Exposed Workers Matthew S. Forrest,1 Qing Lan,2 Alan E. Hubbard,1 Luoping Zhang,1 Roel Vermeulen,2 Xin Zhao,1 Guilan Li,3 Yen-Ying Wu,1 Min Shen,2 Songnian Yin,3 Stephen J. Chanock,2 Nathaniel Rothman,2 and Martyn T. Smith1 1School of Public Health, University of California, Berkeley, California, USA; 2Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA; 3National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China were then ranked and selected for further exam- Benzene is an industrial chemical and component of gasoline that is an established cause of ination using several forms of statistical analysis. leukemia. To better understand the risk benzene poses, we examined the effect of benzene expo- We also specifically examined the expression sure on peripheral blood mononuclear cell (PBMC) gene expression in a population of shoe- of all cytokine genes on the array under the factory workers with well-characterized occupational exposures using microarrays and real-time a priori hypothesis that these key genes polymerase chain reaction (PCR). PBMC RNA was stabilized in the field and analyzed using a involved in immune function are likely to be comprehensive human array, the U133A/B Affymetrix GeneChip set. A matched analysis of six altered by benzene exposure (Aoyama 1986). exposed–control pairs was performed. A combination of robust multiarray analysis and ordering We then attempted to confirm the array find- of genes using paired t-statistics, along with bootstrapping to control for a 5% familywise error ings for the leading differentially expressed rate, was used to identify differentially expressed genes in a global analysis.
    [Show full text]
  • The Title of the Article
    Mechanism-Anchored Profiling Derived from Epigenetic Networks Predicts Outcome in Acute Lymphoblastic Leukemia Xinan Yang, PhD1, Yong Huang, MD1, James L Chen, MD1, Jianming Xie, MSc2, Xiao Sun, PhD2, Yves A Lussier, MD1,3,4§ 1Center for Biomedical Informatics and Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL 60637 USA 2State Key Laboratory of Bioelectronics, Southeast University, 210096 Nanjing, P.R.China 3The University of Chicago Cancer Research Center, and The Ludwig Center for Metastasis Research, The University of Chicago, Chicago, IL 60637 USA 4The Institute for Genomics and Systems Biology, and the Computational Institute, The University of Chicago, Chicago, IL 60637 USA §Corresponding author Email addresses: XY: [email protected] YH: [email protected] JC: [email protected] JX: [email protected] XS: [email protected] YL: [email protected] - 1 - Abstract Background Current outcome predictors based on “molecular profiling” rely on gene lists selected without consideration for their molecular mechanisms. This study was designed to demonstrate that we could learn about genes related to a specific mechanism and further use this knowledge to predict outcome in patients – a paradigm shift towards accurate “mechanism-anchored profiling”. We propose a novel algorithm, PGnet, which predicts a tripartite mechanism-anchored network associated to epigenetic regulation consisting of phenotypes, genes and mechanisms. Genes termed as GEMs in this network meet all of the following criteria: (i) they are co-expressed with genes known to be involved in the biological mechanism of interest, (ii) they are also differentially expressed between distinct phenotypes relevant to the study, and (iii) as a biomodule, genes correlate with both the mechanism and the phenotype.
    [Show full text]
  • Replication of FTO Gene Associated with Lean Mass in a Meta
    www.nature.com/scientificreports OPEN Replication of FTO Gene associated with lean mass in a Meta-Analysis of Genome-Wide Association Studies Shu Ran1, Zi-Xuan Jiang1, Xiao He1, Yu Liu1, Yu-Xue Zhang1, Lei Zhang2,3, Yu-Fang Pei3,4, Meng Zhang5, Rong Hai6, Gui-Shan Gu7, Bao-Lin Liu1, Qing Tian8, Yong-Hong Zhang3,4, Jing-Yu Wang7 & Hong-Wen Deng8* Sarcopenia is characterized by low skeletal muscle, a complex trait with high heritability. With the dramatically increasing prevalence of obesity, obesity and sarcopenia occur simultaneously, a condition known as sarcopenic obesity. Fat mass and obesity-associated (FTO) gene is a candidate gene of obesity. To identify associations between lean mass and FTO gene, we performed a genome-wide association study (GWAS) of lean mass index (LMI) in 2207 unrelated Caucasian subjects and replicated major fndings in two replication samples including 6,004 unrelated Caucasian and 38,292 unrelated Caucasian. We found 29 single nucleotide polymorphisms (SNPs) in FTO signifcantly associated with sarcopenia (combined p-values ranging from 5.92 × 10−12 to 1.69 × 10−9). Potential biological functions of SNPs were analyzed by HaploReg v4.1, RegulomeDB, GTEx, IMPC and STRING. Our results provide suggestive evidence that FTO gene is associated with lean mass. Sarcopenia is a complex disease described as the age-associated loss of skeletal muscle mass, strength and func- tion impairment1,2. Te low skeletal muscle mass will lead to many public health problems such as sarcopenia, osteoporosis and increased mortality3,4, especially in the elderly. Skeletal muscle is heritable with heritability esti- mates of 30–85% for muscle strength and 45–90% for muscle mass5.
    [Show full text]
  • Nuclear Import Protein KPNA7 and Its Cargos Acta Universitatis Tamperensis 2346
    ELISA VUORINEN Nuclear Import Protein KPNA7 and its Cargos ELISA Acta Universitatis Tamperensis 2346 ELISA VUORINEN Nuclear Import Protein KPNA7 and its Cargos Diverse roles in the regulation of cancer cell growth, mitosis and nuclear morphology AUT 2346 AUT ELISA VUORINEN Nuclear Import Protein KPNA7 and its Cargos Diverse roles in the regulation of cancer cell growth, mitosis and nuclear morphology ACADEMIC DISSERTATION To be presented, with the permission of the Faculty Council of the Faculty of Medicine and Life Sciences of the University of Tampere, for public discussion in the auditorium F114 of the Arvo building, Arvo Ylpön katu 34, Tampere, on 9 February 2018, at 12 o’clock. UNIVERSITY OF TAMPERE ELISA VUORINEN Nuclear Import Protein KPNA7 and its Cargos Diverse roles in the regulation of cancer cell growth, mitosis and nuclear morphology Acta Universitatis Tamperensis 2346 Tampere University Press Tampere 2018 ACADEMIC DISSERTATION University of Tampere, Faculty of Medicine and Life Sciences Finland Supervised by Reviewed by Professor Anne Kallioniemi Docent Pia Vahteristo University of Tampere University of Helsinki Finland Finland Docent Maria Vartiainen University of Helsinki Finland The originality of this thesis has been checked using the Turnitin OriginalityCheck service in accordance with the quality management system of the University of Tampere. Copyright ©2018 Tampere University Press and the author Cover design by Mikko Reinikka Acta Universitatis Tamperensis 2346 Acta Electronica Universitatis Tamperensis 1851 ISBN 978-952-03-0641-0 (print) ISBN 978-952-03-0642-7 (pdf) ISSN-L 1455-1616 ISSN 1456-954X ISSN 1455-1616 http://tampub.uta.fi Suomen Yliopistopaino Oy – Juvenes Print Tampere 2018 441 729 Painotuote CONTENTS List of original communications ................................................................................................
    [Show full text]
  • Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
    University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R.
    [Show full text]
  • Identification of Novel Pathways That Promote Anoikis Through Genome-Wide Screens
    University of Massachusetts Medical School eScholarship@UMMS GSBS Dissertations and Theses Graduate School of Biomedical Sciences 2016-10-14 Identification of Novel Pathways that Promote Anoikis through Genome-wide Screens Victoria E. Pedanou University of Massachusetts Medical School Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/gsbs_diss Part of the Biology Commons, and the Cancer Biology Commons Repository Citation Pedanou VE. (2016). Identification of Novel Pathways that Promote Anoikis through Genome-wide Screens. GSBS Dissertations and Theses. https://doi.org/10.13028/M27G6D. Retrieved from https://escholarship.umassmed.edu/gsbs_diss/889 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in GSBS Dissertations and Theses by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. i TITLE PAGE IDENTIFICATION OF NOVEL PATHWAYS THAT PROMOTE ANOIKIS THROUGH GENOME-WIDE SCREENS A Dissertation Presented By VICTORIA ELIZABETH PEDANOU Submitted to the Faculty of the University of Massachusetts Graduate School of Biomedical Sciences, Worcester in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY OCTOBER 14TH, 2016 CANCER BIOLOGY ii SIGNATURE PAGE IDENTIFICATION OF NOVEL PATHWAYS THAT PROMOTE ANOIKIS THROUGH GENOME-WIDE SCREENS A Dissertation Presented By VICTORIA ELIZABETH PEDANOU This work was undertaken in the Graduate School of Biomedical Sciences Cancer Biology The signature of the Thesis Advisor signifies validation of Dissertation content ___________________________ Michael R. Green, Thesis Advisor The signatures of the Dissertation Defense Committee signify completion and approval as to style and content of the Dissertation __________________________________ Eric H.
    [Show full text]
  • ` Probing the Epigenome Andrea Huston1, Cheryl H Arrowsmith1,2
    ` Probing the Epigenome Andrea Huston1, Cheryl H Arrowsmith1,2, Stefan Knapp3,4,*, Matthieu Schapira1,5,* 1. Structural Genomics Consortium, University of Toronto, Toronto, ON M5G 1L7, Canada 2. Princess Margaret Cancer Centre and Department of Medical Biophysics, University of Toronto , Toronto, ON M5G 1L7, Canada 3. Nuffield Department of Clinical Medicine, Target Discovery Institute, and Structural Genomic Consortium, University of Oxford, Headington, Oxford OX3 7DQ, United Kingdom 4. Institute for Pharmaceutical Chemistry, Johann Wolfgang Goethe University, D-60438 Frankfurt am Main, Germany 5. Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON M5S 1A8, Canada * Correspondence: [email protected], [email protected] Epigenetic chemical probes are having a strong impact on biological discovery and target validation. Systematic coverage of emerging epigenetic target classes with these potent, selective, cell-active chemical tools will profoundly influence our understanding of the human biology and pathology of chromatin-templated mechanisms. ` Chemical probes are research-enablers Advances in genomics and proteomics methodologies in recent years have made it possible to associate thousands of genes and proteins with specific diseases, biological processes, molecular networks and pathways. However, data from these large scale initiatives alone has not translated widely into new studies on these disease-associated proteins, and the biomedical research community still tends to focus on proteins that were already known before the sequencing of the human genome1. The human kinome for instance, a target class of direct relevance to cancer and other disease areas, is a telling example: based on the number of research articles indexed in pubmed in 2011, 75% of the research activity focused on only 10% of the 518 human kinases – largely the same kinases that were the focus of research before sequencing of the human genome - while 60% of the kinome, some 300 enzymes, was virtually ignored by the community2.
    [Show full text]
  • Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
    Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897
    [Show full text]
  • Table 2. Significant
    Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S.
    [Show full text]