Genome-Wide Atlas of Promoter Expression Reveals Contribution of Transcribed Regulatory Elements to Genetic Control of Disuse-Mediated Atrophy of Skeletal Muscle
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Plasma Based Protein Signatures Associated with Small Cell Lung Cancer
cancers Article Plasma Based Protein Signatures Associated with Small Cell Lung Cancer Johannes F. Fahrmann 1,†, Hiroyuki Katayama 1,† , Ehsan Irajizad 1,†, Ashish Chakraborty 1 , Taketo Kato 1 , Xiangying Mao 1 , Soyoung Park 1, Eunice Murage 1, Leona Rusling 1, Chuan-Yih Yu 1, Yinging Cai 1, Fu Chung Hsiao 1, Jennifer B. Dennison 1, Hai Tran 2, Edwin Ostrin 3 , David O. Wilson 4, Jian-Min Yuan 5,6, Jody Vykoukal 1 and Samir Hanash 1,* 1 Department of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA; [email protected] (J.F.F.); [email protected] (H.K.); [email protected] (E.I.); [email protected] (A.C.); [email protected] (T.K.); [email protected] (X.M.); [email protected] (S.P.); [email protected] (E.M.); [email protected] (L.R.); [email protected] (C.-Y.Y.); [email protected] (Y.C.); [email protected] (F.C.H.); [email protected] (J.B.D.); [email protected] (J.V.) 2 Department of Thoracic-Head & Neck Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA; [email protected] 3 Department of Pulmonary Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA; [email protected] 4 Division of Pulmonary, Allergy and Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; [email protected] 5 Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, USA; [email protected] 6 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA Citation: Fahrmann, J.F.; Katayama, * Correspondence: [email protected] † These authors contributed equally to this work. -
WO 2014/135655 Al 12 September 2014 (12.09.2014) P O P C T
(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 WO 2014/135655 Al 12 September 2014 (12.09.2014) P O P C T (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every C12Q 1/68 (2006.01) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, (21) International Application Number: BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, PCT/EP2014/054384 DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (22) International Filing Date: HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, 6 March 2014 (06.03.2014) KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, (25) Filing Language: English OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (26) Publication Language: English SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, (30) Priority Data: ZW. 13305253.0 6 March 2013 (06.03.2013) EP (84) Designated States (unless otherwise indicated, for every (71) Applicants: INSTITUT CURIE [FR/FR]; 26 rue d'Ulm, kind of regional protection available): ARIPO (BW, GH, F-75248 Paris cedex 05 (FR). CENTRE NATIONAL DE GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, LA RECHERCHE SCIENTIFIQUE [FR/FR]; 3 rue UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, Michel Ange, F-75016 Paris (FR). -
Mir-145 Inhibits Breast Cancer Cell Growth Through RTKN
1461-1466 24/3/2009 01:35 ÌÌ ™ÂÏ›‰·1461 INTERNATIONAL JOURNAL OF ONCOLOGY 34: 1461-1466, 2009 miR-145 inhibits breast cancer cell growth through RTKN SHIHUA WANG, CHUNJING BIAN, ZHUO YANG, YE BO, JING LI, LIFEN ZENG, HONG ZHOU and ROBERT CHUNHUA ZHAO Center of Tissue Engineering, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, P.R. China Received November 25, 2008; Accepted February 3, 2009 DOI: 10.3892/ijo_00000275 Abstract. MicroRNAs (miRNAs) represent a class of small miR-15a and miR-16 are down-regulated by hemizygous or non-coding RNAs regulating gene expression by inducing homozygous deletion or other unknown mechanisms in RNA degradation or interfering with translation. Aberrant 68% of CLLs (7) and miR-17-92 cluster is markedly over- miRNA expression has been described for several human expressed in B-cell lymphomas (8). Also in a large-scale malignancies. Herein, we show that miR-145 is down-regulated analysis of 540 tumor samples from lung, breast, stomach, in human cancer cell line MCF-7 when compared to normal prostate, colon, and pancreatic tumors, a so-called solid human mammary epithelial cell line MCF10A. Overexpression cancer microRNA signature was identified (9). However, of miR-145 by plasmid inhibits MCF-7 cell growth and induces although miRNAs have been the subject of extensive research apoptosis. Subsequently, RTKN is identified as a potential in recent years, the molecular basis of miRNA-mediated gene miR-145 target by bioinformatics. Using reporter constructs, regulation and the effect of these genes on tumor growth we show that the RTKN 3' untranslated region (3'UTR) remain largely unknown because of our limited understanding carries the directly binding site of miR-145. -
Bioinformatics Approaches to Identify Pain Mediators, Novel Lncrnas and Distinct Modalities of Neuropathic Pain
Bioinformatics approaches to identify pain mediators, novel LncRNAs and distinct modalities of neuropathic pain by Georgios Baskozos A thesis submitted to University College London for the degree of Doctor of Philosophy Institute of Structural and Molecular Biology University College London September 2016 1 Declaration I, Georgios Baskozos, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. ……………………………………… Georgios Baskozos 29 September 2016 2 Abstract This thesis presents a number of studies in the general subject of bioinformatics and functional genomics. The studies were made in collaboration with experimental scientists of the London Pain Consortium (LPC), an initiative that has promoted collaborations between experimental and computational scientists to further understanding of pain. The studies are mainly concerned with the molecular biology of pain and deal with data gathered from high throughput technologies aiming to assess the transcriptional changes involved in well induced pain states, both from animal models of pain and human patients. We have analysed next generation sequencing data (NGS data) in order to assess the transcriptional changes in rodent’s dorsal root ganglions under well induced pain states. We have also developed a customised computational pipeline to analyse RNA- sequencing data in order to identify novel Long non-coding RNAs (LncRNAs), which may function as mediators of neuropathic pain. Our analyses detected hundreds of novel LncRNAs significantly dysregulated between sham-operated animals and animal models of pain. In addition, in order to gain valuable insights into neuropathic pain, including both its molecular signature, somatosensory profiles and clusters of individuals related to pain severity, we analysed clinical data together with data obtained from quality of life pain-questionnaires. -
Chip-Seq Annotation and Visualization How to Add Biological Meaning to Peaks
ChIP-seq Annotation and Visualization How to add biological meaning to peaks M. Defrance, C. Herrmann, D. Puthier, M. Thomas-Chollier, S Le Gras, J van Helden Our data in the context Custom track uploded by the user (here ESR1 peaks in siGATA3 context) public UCSC annotation/data tracks Typical questions - What are the genes associated to the peaks? ChIP-seq peaks - Are some genomic categories over-represented? - Are some functional categories over-represented? - Are the peaks close to the TSS, …? ChIP-seq peaks Annotation Visualisation Enrichment profiles Annotated peaks Genomic & functional Average Profile near TSS Average Profile near TTS Annotation Genomic location Relation to CpG island 0.30 1.0 2500 0.8 chr start end Gene 0.25 chr15 65294195 65295186 0.6 chrX 19635923 19638359 Chst7 Average Profile Average Profile Average 3000 chr8 33993863 33995559 1500 0.4 0.20 chr10 114236977 114239326 Trhde # of regions # of regions 0.2 Distribution of Peak Heights chrX 69515082 69516482 Gabre 500 chr4 49857142 49858913 Grin3a 1000 −3000 −2000 −1000 0 1000 2000 3000 −3000 −2000 −1000 0 1000 2000 3000 0 5 10 15 chr16 7352861 7353410 Rbfox1 0 0 Relative Distance to TSS (bp) Relative Distance to TTS (bp) chr7 64764156 64765421 Gabra5 ChIP Regions (Peaks) over Chromosomes Average Gene Profile chrX 83436881 83438330 Nr0b1 CGI Shore Distant chr10 120288598 120289143 Msrb3 Multiple 1 Promoter Intergenic 2 chr5 67446361 67446855 Limch1 Gene Body 3 0.8 4 5 6 7 0.6 8 9 Average Profile Average 10 0.4 11 12 Chromosome 13 0.2 14 15 −1000 0 1000 2000 3000 4000 16 Upstream (bp), 3000 bp of Meta−gene, Downstream (bp) 17 18 19 Average Concatenated Exon Profile Average Concatenated Intron Profile X Y 0.0e+00 5.0e+07 1.0e+08 1.5e+08 2.0e+08 1.0 Chromosome Size (bp) 1.0 0.8 0.8 0.6 0.6 Average Profile Average Profile Average 0.4 0.4 0.2 0.2 0 20 40 60 80 100 0 20 40 60 80 100 Relative Location (%) Relative Location (%) Distribution of Peak Heights 0 5 10 15 ChIP Regions (Peaks) over Chromosomes 1 2 3 4 5 6 7 8 9 10 11 12 Chromosome W.Huang et al. -
A Robust 11-Genes Prognostic Model Can
Lin et al. Cancer Cell Int (2020) 20:402 https://doi.org/10.1186/s12935-020-01491-6 Cancer Cell International PRIMARY RESEARCH Open Access A robust 11-genes prognostic model can predict overall survival in bladder cancer patients based on fve cohorts Jiaxing Lin1†, Jieping Yang1†, Xiao Xu2, Yutao Wang1, Meng Yu3* and Yuyan Zhu1* Abstract Background: Bladder cancer is the tenth most common cancer globally, but existing biomarkers and prognostic models are limited. Method: In this study, we used four bladder cancer cohorts from The Cancer Genome Atlas and Gene Expression Omnibus databases to perform univariate Cox regression analysis to identify common prognostic genes. We used the least absolute shrinkage and selection operator regression to construct a prognostic Cox model. Kaplan–Meier analysis, receiver operating characteristic curve, and univariate/multivariate Cox analysis were used to evaluate the prognostic model. Finally, a co-expression network, CIBERSORT, and ESTIMATE algorithm were used to explore the mechanism related to the model. Results: A total of 11 genes were identifed from the four cohorts to construct the prognostic model, including eight risk genes (SERPINE2, PRR11, DSEL, DNM1, COMP, ELOVL4, RTKN, and MAPK12) and three protective genes (FABP6, C16orf74, and TNK1). The 11-genes model could stratify the risk of patients in all fve cohorts, and the prognosis was worse in the group with a high-risk score. The area under the curve values of the fve cohorts in the frst year are all greater than 0.65. Furthermore, this model’s predictive ability is stronger than that of age, gender, grade, and T stage. -
Involvement of Microrna in Solid Cancer: Role and Regulatory Mechanisms
biomedicines Review Involvement of microRNA in Solid Cancer: Role and Regulatory Mechanisms Ying-Chin Lin 1,2,†, Tso-Hsiao Chen 3,†, Yu-Min Huang 4,5 , Po-Li Wei 4,6,7,8,9,* and Jung-Chun Lin 10,11,12,* 1 Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan 2 Department of Family Medicine, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan; [email protected] 3 Division of Nephrology, Wan Fang Hospital, Taipei Medical University, Taipei 116, Taiwan; [email protected] 4 Department of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan 5 Division of Gastrointestinal Surgery, Department of Surgery, Taipei Medical University Hospital, Taipei Medical University, Taipei 110, Taiwan; [email protected] 6 Division of Colorectal Surgery, Department of Surgery, Taipei Medical University Hospital, Taipei Medical University, Taipei 110, Taiwan 7 Cancer Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei 110, Taiwan 8 Translational Laboratory, Department of Medical Research, Taipei Medical University Hospital, Taipei Medical University, Taipei 110, Taiwan 9 Graduate Institute of Cancer Biology and Drug Discovery, Taipei Medical University, Taipei 110, Taiwan 10 School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan 11 Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan 12 Pulmonary Research Center, Wan Fang Hospital, Taipei Medical University, Taipei 110, Taiwan Citation: Lin, Y.-C.; Chen, T.-H.; * Correspondence: [email protected] (P.-L.W.); [email protected] (J.-C.L.); Huang, Y.-M.; Wei, P.-L.; Lin, J.-C. -
Supplementary Information For
Supplementary Information for Increased Muscleblind levels by chloroquine treatment improve myotonic dystrophy type 1 phenotypes in in vitro and in vivo models. Ariadna Bargiela, Maria Sabater-Arcis, Jorge Espinosa-Espinosa, Miren Zulaica, Adolfo Lopez de Munain and Ruben Artero. Corresponding author: Ruben Artero Email: [email protected] This PDF file includes: Supplementary text Figs. S1 to S13 Tables S1 References for SI reference citations 1 www.pnas.org/cgi/doi/10.1073/pnas.1820297116 Supplementary Information Text Materials and methods. Fly strains and crosses w1118 line was obtained from the Bloomington Drosophila Stock Center (Indiana University, Bloomington, IN, USA). Mhc-Gal4 flies were described in (1). Mhc-Gal4 UAS-(CTG)480 flies were generated in (2). All crosses were carried out at 25 °C with standard fly food. For oral administration of chloroquine (Chloroquine diphosphate salt solid, ≥98%, C6628 Sigma Aldrich), a maximum of 25 one-day adult flies were collected in tubes containing standard food supplemented with chloroquine (10 or 100 μM). Flies were transferred to tubes containing fresh food every 2-3 days for a total administration time of 7 days. Determination of caspase-3 and caspase-7 activity Ten adult female flies of the indicated genotypes were homogenized in 100 μl of cold PBS buffer using TissueLyser LT (Qiagen, Hilden, Germany). After a 10 min centrifugation, the supernatant was transferred into a white 96-well plate. Caspase-3 and caspase-7 activity was measured using the Caspase-Glo 3/7 Assay Systems (Promega, Fitchburg, WI, USA). Briefly, 100 μl of Caspase-Glo 3/7 reagent was added per well and the plate was incubated at room temperature for 30 min. -
Rho/Rhotekin-Mediated NF-Jb Activation Confers Resistance to Apoptosis
Oncogene (2004) 23, 8731–8742 & 2004 Nature Publishing Group All rights reserved 0950-9232/04 $30.00 www.nature.com/onc Rho/Rhotekin-mediated NF-jB activation confers resistance to apoptosis Ching-Ann Liu1, Mei-Jung Wang2, Chin-Wen Chi3, Chew-Wun Wu4 and Jeou-Yuan Chen*,2 1Graduate Institute of Life Sciences, National Defense Medical Center, Taiwan, ROC; 2Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, ROC; 3Department of Medical Research and Education, Taiwan, ROC; 4Department of Surgery, Veterans General Hospital, Taipei, Taiwan, ROC Rhotekin (RTKN), the gene coding for the Rho effector, Introduction RTKN, was shown to be overexpressed in human gastric cancer (GC). In this study, we further showed that RTKN The Rho GTPases are members of the Ras superfamily is expressed at a low level in normal cells and is of monomeric low molecular mass (approx. 21 kDa) overexpressed in many cancer-derived cell lines. The guanine nucleotide-binding proteins. By cycling between function of RTKN as an effector protein in Rho GTPase- an active (GTP-bound) and an inactive (GDP-bound) mediated pathways regulating apoptosis was investigated. state, Rho GTPases function as molecular switches to By transfection and expression of RTKN in cells that control signal transduction pathways in regulation of a expressed endogenous RTKN at a low basal level, we plethora of cellular processes, including cytoskeleton showed that RTKN overexpression conferred cell resis- reorganization, gene transcription, cell-cycle progres- tance to apoptosis induced by serum deprivation or sion, and survival (Bishop and Hall, 2000). The diverse treatment with sodium butyrate, and the increased function of Rho GTPases is mediated through interact- resistance correlated to the level of RTKN. -
Microarray and Pattern Miner Analysis of AXL and VIM Gene Networks in MDA‑MB‑231 Cells
MOLECULAR MEDICINE REPORTS 18: 4147-4155, 2018 Microarray and pattern miner analysis of AXL and VIM gene networks in MDA‑MB‑231 cells SUDHAKAR NATARAJAN1, VENIL N SUMANTRAN2, MOHAN RANGANATHAN1 and SURESH MADHESWARAN1 1Department of Biotechnology, Faculty of Engineering and Technology; 2Dr. A.P.J. Abdul Kalam Centre for Excellence in Innovation and Entrepreneurship, Dr. M.G.R. Educational and Research Institute, Tamil Nadu, Chennai 600095, India Received March 20, 2018; Accepted August 2, 2018 DOI: 10.3892/mmr.2018.9404 Abstract. MDA-MB-231 cells represent malignant triple-nega- migration, metastasis and chemoresistance, whereas the VIM tive breast cancer, which overexpress epidermal growth factor gene network regulates novel tumorigenic processes, such as receptor (EGFR) and two genes (AXL and VIM) associated lipogenesis, senescence and autophagy. Notably, these two with poor prognosis. The present study aimed to identify novel networks contain 12 genes not reported for TNBC. therapeutic targets and elucidate the functional networks for the AXL and VIM genes in MDA-MB-231 cells. We identi- Introduction fied 71 genes upregulated in MDA-MB-231 vs. MCF7 cells using BRB-Array tool to re-analyse microarray data from six Triple negative breast cancers (TNBC) lack expression of three GEO datasets. Gene ontology and STRING analysis showed important receptors (ER, PR, and HER2). These cancers account that 43/71 genes upregulated in MDA-MB-231 compared with for 10-15% of breast cancers, and are characterized by overex- MCF7 cells, regulate cell survival and migration. Another pression of epidermal growth factor receptor (EGFR), high 19 novel genes regulate migration, metastases, senescence, proliferative rate, and mutations in the p53 and BRCA1 tumour autophagy and chemoresistance. -
Identification of Predictive Biomarkers of Response to HSP90 Inhibitors In
International Journal of Molecular Sciences Article Identification of Predictive Biomarkers of Response to HSP90 Inhibitors in Lung Adenocarcinoma Ángela Marrugal 1, Irene Ferrer 1,2, David Gómez-Sánchez 1,2, Álvaro Quintanal-Villalonga 3, María Dolores Pastor 4, Laura Ojeda 1, Luis Paz-Ares 1,2,5,6,*,† and Sonia Molina-Pinelo 2,4,*,† 1 H12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Hospital 12 de Octubre & Centro Nacional de Investigaciones Oncológicas (CNIO), 28029 Madrid, Spain; [email protected] (Á.M.); [email protected] (I.F.); [email protected] (D.G.-S.); [email protected] (L.O.) 2 CIBERONC, Respiratory Tract Tumors Program, 28029 Madrid, Spain 3 Program in Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; [email protected] 4 Institute of Biomedicine of Seville (IBIS) (HUVR, CSIC, Universidad de Sevilla), 41013 Sevilla, Spain; [email protected] 5 Medical Oncology Department, Hospital Universitario Doce de Octubre, 28041 Madrid, Spain 6 Medical School, Universidad Complutense, 28040 Madrid, Spain * Correspondence: [email protected] (L.P.-A.); [email protected] (S.M.-P.) † These authors contributed equally to this work. Abstract: Heat shock protein 90 (HSP90) plays an essential role in lung adenocarcinoma, acting as a key chaperone involved in the correct functioning of numerous highly relevant protein drivers of this disease. To this end, HSP90 inhibitors have emerged as promising therapeutic strategies, even Citation: Marrugal, Á.; Ferrer, I.; though responses to them have been limited to date. Given the need to maximize treatment efficacy, Gómez-Sánchez, D.; the objective of this study was to use isobaric tags for relative and absolute quantitation (iTRAQ)- Quintanal-Villalonga, Á.; Pastor, based proteomic techniques to identify proteins in human lung adenocarcinoma cell lines whose M.D.; Ojeda, L.; Paz-Ares, L.; basal abundances were correlated with response to HSP90 inhibitors (geldanamycin and radicicol Molina-Pinelo, S. -
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bioRxiv preprint doi: https://doi.org/10.1101/017566; this version posted November 19, 2015. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 1 Testing for ancient selection using cross-population allele 2 frequency differentiation 1;∗ 3 Fernando Racimo 4 1 Department of Integrative Biology, University of California, Berkeley, CA, USA 5 ∗ E-mail: [email protected] 6 1 Abstract 7 A powerful way to detect selection in a population is by modeling local allele frequency changes in a 8 particular region of the genome under scenarios of selection and neutrality, and finding which model is 9 most compatible with the data. Chen et al. [2010] developed a composite likelihood method called XP- 10 CLR that uses an outgroup population to detect departures from neutrality which could be compatible 11 with hard or soft sweeps, at linked sites near a beneficial allele. However, this method is most sensitive 12 to recent selection and may miss selective events that happened a long time ago. To overcome this, 13 we developed an extension of XP-CLR that jointly models the behavior of a selected allele in a three- 14 population tree. Our method - called 3P-CLR - outperforms XP-CLR when testing for selection that 15 occurred before two populations split from each other, and can distinguish between those events and 16 events that occurred specifically in each of the populations after the split.