A NGS-Based Blood Test for the Diagnosis of Invasive HPV-Associated Carcinomas with Extensive Viral Genomic Characterization
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Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Integrated Bioinformatic Analysis of RNA Binding Proteins in Hepatocellular Carcinoma
www.aging-us.com AGING 2021, Vol. 13, No. 2 Research Paper Integrated bioinformatic analysis of RNA binding proteins in hepatocellular carcinoma Ling Wang1,*, Zhen Zhang2,3,*, Yuan Li1, Yanyan Wan1, Baocai Xing1,& 1Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Hepatopancreatobiliary Surgery Department I, Peking University Cancer Hospital and Institute, Beijing 100142, China 2Department of Gastroenterological Surgery, Peking University People’s Hospital, Beijing 100044, China 3Laboratory of Surgical Oncology, Beijing Key Laboratory of Colorectal Cancer Diagnosis and Treatment Research, Peking University People’s Hospital, Beijing 100044, China *Equal contribution Correspondence to: Baocai Xing; email: [email protected] Keywords: RNA binding protein, hepatocellular carcinoma, biomarker, transcriptomics, proteomics Received: June 8, 2020 Accepted: November 3, 2020 Published: December 19, 2020 Copyright: © 2020 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT RNA binding proteins (RBPs) are aberrantly expressed in a tissue-specific manner across many tumors. These proteins, which play a vital role in post-transcriptional gene regulation, are involved in RNA splicing, maturation, transport, stability, degradation, and translation. We set out to establish an accurate risk score model based on RBPs to estimate prognosis in hepatocellular carcinoma (HCC). RNA-sequencing data, proteomic data and corresponding clinical information were acquired from the Cancer Genome Atlas database and the Clinical Proteomic Tumor Analysis Consortium database respectively. We identified 406 differentially expressed RBPs between HCC tumor and normal tissues at the transcriptional and protein level. -
Herpes Simplex Virus Blocks Host Transcription Termination Via the Bimodal Activities of ICP27
ARTICLE https://doi.org/10.1038/s41467-019-14109-x OPEN Herpes simplex virus blocks host transcription termination via the bimodal activities of ICP27 Xiuye Wang 1, Thomas Hennig2, Adam W. Whisnant 2, Florian Erhard 2, Bhupesh K. Prusty 2, Caroline C. Friedel 3, Elmira Forouzmand4,5, William Hu1, Luke Erber 6, Yue Chen6, Rozanne M. Sandri-Goldin 1*, Lars Dölken 2,7* & Yongsheng Shi1* Infection by viruses, including herpes simplex virus-1 (HSV-1), and cellular stresses cause 1234567890():,; widespread disruption of transcription termination (DoTT) of RNA polymerase II (RNAPII) in host genes. However, the underlying mechanisms remain unclear. Here, we demonstrate that the HSV-1 immediate early protein ICP27 induces DoTT by directly binding to the essential mRNA 3’ processing factor CPSF. It thereby induces the assembly of a dead-end 3’ processing complex, blocking mRNA 3’ cleavage. Remarkably, ICP27 also acts as a sequence- dependent activator of mRNA 3’ processing for viral and a subset of host transcripts. Our results unravel a bimodal activity of ICP27 that plays a key role in HSV-1-induced host shutoff and identify CPSF as an important factor that mediates regulation of transcription termination. These findings have broad implications for understanding the regulation of transcription termination by other viruses, cellular stress and cancer. 1 Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA. 2 Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany. 3 Institute of Informatics, Ludwig-Maximilians-Universität München, München, Germany. 4 Institute for Genomics and Bioinformatics, University of California, Irvine, Irvine, CA 92697, USA. -
Long Intergenic Non-Coding Rnas in Hepatocellular Carcinoma—A Focus on Linc00176
Editorial Page 1 of 4 Long intergenic non-coding RNAs in hepatocellular carcinoma—a focus on Linc00176 Marco Y. W. Zaki1,2, Helen L. Reeves1,3 1Northern Institute for Cancer Research, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK; 2Department of Biochemistry, Faculty of Pharmacy, Minia University, Minia, Egypt; 3Hepatopancreatobiliary Multidisciplinary Team, Freeman Hospital, Newcastle- upon-Tyne Hospitals NHS foundation, Newcastle upon Tyne, UK Correspondence to: Professor Helen L. Reeves. Northern Institute for Cancer Research, The Medical School, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK. Email: [email protected]. Provenance: This is a Guest Editorial commissioned by Section Editor Meiyi Song (Division of Gastroenterology and Hepatology, Digestive Disease Institute, Tongji Hospital, Tongji University School of Medicine, Shanghai, China). Comment on: Tran DD, Kessler C, Niehus SE, et al. Myc target gene, long intergenic noncoding RNA, Linc00176 in hepatocellular carcinoma regulates cell cycle and cell survival by titrating tumor suppressor microRNAs. Oncogene 2018;37:75-85. Received: 06 February 2018; Accepted: 13 February 2018; Published: 19 March 2018. doi: 10.21037/ncri.2018.03.02 View this article at: http://dx.doi.org/10.21037/ncri.2018.03.02 Liver cancer is a common type of cancer that ranks the identification of novel candidate therapeutic targets. the second in cancer-related mortality world-wide (1). High-throughput sequencing techniques in combination Hepatocellular carcinoma (HCC) is the predominant type with advanced computational predicting software and of liver cancer and it usually arises on the background of epigenetic tools have identified novel RNA transcripts and cirrhosis. Risk factors associated with the incidence of are even capable of predicting specific functions. -
Universidade Nova De Lisboa Instituto De Higiene E Medicina Tropical
Universidade Nova de Lisboa Instituto de Higiene e Medicina Tropical Regulation of the apoptosis pathway in Rhipicephalus annulatus ticks by the protozoan Babesia bigemina Catarina Sofia Bento Monteiro DISSERTAÇÃO PARA A OBTENÇÃO DO GRAU DE MESTRE EM PARASITOLOGIA MÉDICA JANEIRO, 2018 Universidade Nova de Lisboa Instituto de Higiene e Medicina Tropical Regulation of the apoptosis pathway in Rhipicephalus annulatus ticks by the protozoan Babesia bigemina Autor: Catarina Sofia Bento Monteiro Orientador: Doutora Ana Isabel Amaro Gonçalves Domingos (IHMT, UNL) Coorientador: Doutora Sandra Isabel da Conceição Antunes (IHMT, UNL) Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de mestre em parasitologia médica The results obtained during the development of this master project were reported at two international conferences: Monteiro, C, Domingos, A, and Antunes, S 2017, ´Regulation of the apoptosis pathway in Rhipicephalus annulatus ticks by the protozoan Babesia bigemina´, COST action: EuroNegVec, 11-13 September, Crete, Greece. Monteiro, C, Domingos, A, and Antunes, S 2017 ´Is the apoptosis pathway in Rhipicephalus annulatus ticks regulated by the protozoan Babesia bigemina?´ Conference: Biotecnología Habana 2017: ´La Biotecnología Agropecuaria en el siglo XXI´, 3-6 December, Varadero, Cuba. i Acknowledgments Quero, desde já, agradecer à Doutora Ana Domingos por se ter disponibilizado a orientar-me e por não ter desistido de mim. À Doutora Sandra Antunes, pelo apoio constante e compreensão durante toda esta longa jornada. Admiro a simplicidade com que encaras a vida. À Joana Couto pela boa disposição e prontidão em ajudar. És das pessoas mais genuínas que já conheci. À Joana Ferrolho com quem partilho o mesmo gosto pela medicina veterinária. -
Master Biomedizin 2018 1) UCSC & Uniprot 2) Homology 3) MSA 4) Phylogeny
Master Biomedizin 2018 1) UCSC & UniProt 2) Homology 3) MSA 4) Phylogeny Pablo Mier 1 [email protected] Genomics *Images from: Wikipedia 1 a. Get the fasta sequence of the human (Homo sapiens) protein P53 from UniProt (https://www.uniprot.org/). Which one of all the isoforms should you download? P04637 b. Find the P53 protein from mouse (Mus musculus). As you see, there is more than one entry for mouse. Which UniProt entry should you select? P02340 c. BLAT the human P53 using “hg38” as database (in UCSC, http://genome.ucsc.edu/cgi-bin/hgBlat), and answer: How many amino acids has the query sequence? 393 aa And how many nucleotides? 1179 nt Is it a perfect alignment? No Which is the genomic locus of the target? Chr17 7669612-7676594 d. Visualize and navigate through the P53 genome region, and answer: Which genes are around? ATP1B2 and WRAP53 How many exons does it have? 9 exons e. BLAT the mouse P53 against the human genome “hg38”. What do you observe? The result is worse (85%) Human Mouse (Homo sapiens) (Mus musculus) Pablo Mier 2 [email protected] Genomics *Images from: UniProt 1 a. P04637 (P53_HUMAN). The canonical. b. P02340 (P53_MOUSE). Pablo Mier 3 [email protected] Genomics *Images from: UCSC 1 c. 393 amino acids Not a perfect alignment chr17 393*3 = 1179 nucleotides (“lpennvl”) 7669612-7676594 d. ATP1B2 and WRAP53. 9 exons (9 blocks). 9 8 7 6 5 4 3 2 1 e. The result is worse (85%). Pablo Mier 4 [email protected] UniProt database 2 a. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Depletion of Three Combined THOC5 Mrna Export Protein Target Genes Synergistically Induces Human Hepatocellular Carcinoma Cell Death
Oncogene (2016) 35, 3872–3879 © 2016 Macmillan Publishers Limited All rights reserved 0950-9232/16 www.nature.com/onc SHORT COMMUNICATION Depletion of three combined THOC5 mRNA export protein target genes synergistically induces human hepatocellular carcinoma cell death S Saran1,4, DDH Tran1,4, F Ewald2, A Koch1, A Hoffmann3, M Koch2, B Nashan2 and T Tamura1 Hepatocellular carcinoma (HCC) is a frequent form of cancer with a poor prognosis and with limited possibilities of medical intervention. It has been shown that over 100 putative driver genes are associated with multiple recurrently altered pathways in HCC, suggesting that multiple pathways will need to be inhibited for any therapeutic method. mRNA processing is regulated by a complex RNA–protein network that is essential for the maintenance of homeostasis. THOC5, a member of mRNA export complex, has a role in less than 1% of mRNA processing, and is required for cell growth and differentiation, but not for cell survival in normal fibroblasts, hepatocytes and macrophages. In this report, we show that 50% depletion of THOC5 in human HCC cell lines Huh7 and HepG2 induced apoptosis. Transcriptome analysis using THOC5-depleted cells revealed that 396 genes, such as transmembrane BAX inhibitor motif containing 4 (TMBIM4), transmembrane emp24-like trafficking protein 10 (Tmed10) and D-tyrosyl-tRNA deacylase 2 (Dtd2) genes were downregulated in both cell lines. The depletion of one of these THOC5 target genes in Huh7 or HepG2 did not significantly induce cell death, suggesting that these may be fine tuners for HCC cell survival. However, the depletion of a combination of these genes synergistically increased the number of TUNEL (terminal deoxynucleotidyl transferase dUTP nick end labeling)-positive HCC. -
Product Sheet CA1009
API5 Antibody Applications: WB, IHC Detected MW: 51 kDa Cat. No. CA1009 Species & Reactivity: Human, Rat Isotype: Rabbit IgG BACKGROUND APPLICATIONS The apoptosis inhibitor-5 [API5; antiapoptosis Application: *Dilution: clone 11 (AAC-11); fibroblast growth factor-2 WB 1:1000 (FGF2)-interacting factor (FIF)] is a 504-aa IP n/d nuclear protein whose expression has been shown IHC 1:50-200 to prevent apoptosis after growth factor ICC n/d deprivation. It was shown that its antiapoptotic action seems to be mediated, at least in part, by FACS n/d *Optimal dilutions must be determined by end user. the suppression of the transcription factor E2F1- induced apoptosis. Moreover, it was also reported that API5 interacts with, and negatively regulates Acinus, a protein involved in apoptotic DNA QUALITY CONTROL DATA fragmentation. API5 can form homo-oligomers, through a leucine-zipper (LZ) motif, and oligomerization-deficient mutants of AAC-11 can no longer inhibit apoptosis nor interact with Acinus.1 The API5gene has been shown to be highly expressed in multiple cancer cell lines as well as in some metastatic lymph node tissues and in B-cell chronic lymphoid leukemia. API5 expression seems to confer a poor outcome in subgroups of patients with non-small cell lung carcinoma, whereas its depletion seems to be tumor cell lethal under condition of low-serum stress. Interestingly, API5 overexpression has been reported to promote both cervical cancer cells growth and invasiveness. Combined, these observations implicate API5as a putative metastatic oncogene and suggest that API5 could constitute a therapeutic target in cancer.2 References: 1. -
API5 Confers Tumoral Immune Escape Through FGF2- Dependent Cell Survival Pathway
Published OnlineFirst April 25, 2014; DOI: 10.1158/0008-5472.CAN-13-3225 Cancer Therapeutics, Targets, and Chemical Biology Research API5 Confers Tumoral Immune Escape through FGF2- Dependent Cell Survival Pathway Kyung Hee Noh1, Seok-Ho Kim1,3, Jin Hee Kim1, Kwon-Ho Song1, Young-Ho Lee1, Tae Heung Kang4, Hee Dong Han4,6, Anil K. Sood5,6, Joanne Ng2, Kwanghee Kim2,7,9, Chung Hee Sonn2, Vinay Kumar8, Cassian Yee7,9, Kyung-Mi Lee2, and Tae Woo Kim1,2 Abstract Identifying immune escape mechanisms used by tumors may define strategies to sensitize them to immu- notherapies to which they are otherwise resistant. In this study, we show that the antiapoptotic gene API5 acts as an immune escape gene in tumors by rendering them resistant to apoptosis triggered by tumor antigen-specificT cells. Its RNAi-mediated silencing in tumor cells expressing high levels of API5 restored antigen-specific immune sensitivity. Conversely, introducing API5 into API5low cells conferred immune resistance. Mechanistic investiga- tions revealed that API5 mediated resistance by upregulating FGF2 signaling through a FGFR1/PKCd/ERK effector pathway that triggered degradation of the proapoptotic molecule BIM. Blockade of FGF2, PKCd, or ERK phenocopied the effect of API5 silencing in tumor cells expressing high levels of API5 to either murine or human antigen-specific T cells. Our results identify a novel mechanism of immune escape that can be inhibited to potentiate the efficacy of targeted active immunotherapies. Cancer Res; 74(13); 3556–66. Ó2014 AACR. Introduction of immunosuppressive cytokines such as TGFb and IL10 and – Despite the presence of a competent immune system, tumor the accumulation of regulatory cells (1 4) can exacerbate the cells may elude detection from host immune surveillance immune inhibitory milieu, whereas intrinsic genetic instability through a process of cancer immune editing. -
Transcriptome Analysis of Signaling Pathways of Human Peritoneal
Liu et al. BMC Nephrology (2019) 20:181 https://doi.org/10.1186/s12882-019-1376-0 RESEARCH ARTICLE Open Access Transcriptome analysis of signaling pathways of human peritoneal mesothelial cells in response to different osmotic agents in a peritoneal dialysis solution Bin Liu1,2†, Shijian Feng1,3†, Ghida Dairi1,4, Qiunong Guan1, Irina Chafeeva5, Hao Wang2, Richard Liggins6, Gerald da Roza7, Jayachandran N. Kizhakkedathu5,8 and Caigan Du1,9* Abstract Background: Glucose is a primary osmotic agent in peritoneal dialysis (PD) solutions, but its long-term use causes structural alteration of the peritoneal membrane (PM). Hyperbranched polyglycerol (HPG) is a promising alternative to glucose. This study was designed to compare the cellular responses of human peritoneal mesothelial cells (HPMCs) to these two different osmotic agents in a hypertonic solution using transcriptome analysis. Methods: Cultured HPMCs were repeatedly exposed to HPG-based or Physioneal 40 (PYS, glucose 2.27%) hypertonic solutions. Transcriptome datasets were produced using Agilent SurePrint G3 Human GE 8 × 60 microarray. Cellular signaling pathways were examined by Ingenuity Pathway Analysis (IPA). Protein expression was examined by flow cytometry analysis and Western blotting. Results: The HPG-containing solution was better tolerated compared with PYS, with less cell death and disruption of cell transcriptome. The levels of cell death in HPG- or PYS- exposed cells were positively correlated with the number of affected transcripts (HPG: 128 at day 3, 0 at day 7; PYS: 1799 at day 3, 212 at day 7). In addition to more affected “biosynthesis” and “cellular stress and death” pathways by PYS, both HPG and PYS commonly affected “sulfate biosynthesis”, “unfolded protein response”, “apoptosis signaling” and “NRF2-mediated oxidative stress response” pathways at day 3. -
Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis
Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you.