Hepatic Posttranscriptional Network Comprised of CCR4–NOT Deadenylase and FGF21 Maintains Systemic Metabolic Homeostasis
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Functional Annotation of Exon Skipping Event in Human Pora Kim1,*,†, Mengyuan Yang1,†,Keyiya2, Weiling Zhao1 and Xiaobo Zhou1,3,4,*
D896–D907 Nucleic Acids Research, 2020, Vol. 48, Database issue Published online 23 October 2019 doi: 10.1093/nar/gkz917 ExonSkipDB: functional annotation of exon skipping event in human Pora Kim1,*,†, Mengyuan Yang1,†,KeYiya2, Weiling Zhao1 and Xiaobo Zhou1,3,4,* 1School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA, 2College of Electronics and Information Engineering, Tongji University, Shanghai, China, 3McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA and 4School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA Received August 13, 2019; Revised September 21, 2019; Editorial Decision October 03, 2019; Accepted October 03, 2019 ABSTRACT been used as therapeutic targets (3–8). For example, MET has lost the binding site of E3 ubiquitin ligase CBL through Exon skipping (ES) is reported to be the most com- exon 14 skipping event (9), resulting in an enhanced expres- mon alternative splicing event due to loss of func- sion level of MET. MET amplification drives the prolifera- tional domains/sites or shifting of the open read- tion of tumor cells. Multiple tyrosine kinase inhibitors, such ing frame (ORF), leading to a variety of human dis- as crizotinib, cabozantinib and capmatinib, have been used eases and considered therapeutic targets. To date, to treat patients with MET exon 14 skipping (10). Another systematic and intensive annotations of ES events example is the dystrophin gene (DMD) in Duchenne mus- based on the skipped exon units in cancer and cular dystrophy (DMD), a progressive neuromuscular dis- normal tissues are not available. -
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. -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
Genome-Scale Identification of Transcription Factors That Mediate An
ARTICLE DOI: 10.1038/s41467-018-04406-2 OPEN Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation Zhe Ji 1,2,4, Lizhi He1, Asaf Rotem1,2,5, Andreas Janzer1,6, Christine S. Cheng2,7, Aviv Regev2,3 & Kevin Struhl 1 Transient activation of Src oncoprotein in non-transformed, breast epithelial cells can initiate an epigenetic switch to the stably transformed state via a positive feedback loop that involves 1234567890():,; the inflammatory transcription factors STAT3 and NF-κB. Here, we develop an experimental and computational pipeline that includes 1) a Bayesian network model (AccessTF) that accurately predicts protein-bound DNA sequence motifs based on chromatin accessibility, and 2) a scoring system (TFScore) that rank-orders transcription factors as candidates for being important for a biological process. Genetic experiments validate TFScore and suggest that more than 40 transcription factors contribute to the oncogenic state in this model. Interestingly, individual depletion of several of these factors results in similar transcriptional profiles, indicating that a complex and interconnected transcriptional network promotes a stable oncogenic state. The combined experimental and computational pipeline represents a general approach to comprehensively identify transcriptional regulators important for a biological process. 1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA. 2 Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. 3 Department of Biology, Howard Hughes Medical Institute and David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 20140, USA. 4Present address: Department of Pharmacology and Biomedical Engineering, Northwestern University, Evanston 60611 IL, USA. -
FOXK Transcription Factors Regulation and Critical Role in Cancer
Cancer Letters 458 (2019) 1–12 Contents lists available at ScienceDirect Cancer Letters journal homepage: www.elsevier.com/locate/canlet Mini-review FOXK transcription factors: Regulation and critical role in cancer T Ying Liua, Wei Dingb,HuGea,d, Murugavel Ponnusamya, Qiong Wangd, Xiaodan Haoa, Wei Wua, ∗∗ ∗ Yuan Zhanga, Wanpeng Yua, Xiang Aoa, , Jianxun Wanga,c, a Institute for Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China b Department of Comprehensive Internal Medicine, Affiliated Hospital, Qingdao University, Qingdao 266003, China c School of Basic Medical Sciences, Qingdao University, Qingdao 266071, China d Molecular Informatics Department, Hengrui Pharmaceutical Co., Ltd., Shanghai 200245, China ARTICLE INFO ABSTRACT Keywords: Growing evidence suggests that alterations of gene expression including expression and activities of transcription FOXK1 factors are closely associated with carcinogenesis. Forkhead Box Class K (FOXK) proteins, FOXK1 and FOXK2, FOXK2 are a family of evolutionarily conserved transcriptional factors, which have recently been recognized as key ncRNAs transcriptional regulators involved in many types of cancer. Members of the FOXK family mediate a wide Biomarker spectrum of biological processes, including cell proliferation, differentiation, apoptosis, autophagy, cell cycle Therapeutic target progression, DNA damage and tumorigenesis. Therefore, the deregulation of FOXKs can affect the cell fate and they promote tumorigenesis as well as cancer progression. The mechanisms of FOXKs regulation including post- translational modifications (PTMs), microRNAs (miRNAs) and protein–protein interactions are well demon- strated. However, the detailed mechanisms of FOXKs activation and deregulation in cancer progression are still inconclusive. In this review, we summarize the regulatory mechanisms of FOXKs expression and activity, and their role in the development and progression of cancer. -
Using Liver Mirna Profiles to Predict Chemical Hepatocarcinogenesis”
“Using liver miRNA profiles to predict chemical hepatocarcinogenesis” By Costas Koufaris A thesis submitted to Imperial College London for the degree of Doctor of Philosophy Department of Surgery and Cancer Biomolecular Medicine Imperial College London April- 12011 - ABSTRACT Industrial, agricultural, and pharmaceutical requirements drive the development of a plethora of new chemical entities each year, many of which -for example drugs, pesticides, and food additives- have to be assessed for potential human health hazard. The current benchmark for risk assessement is the lifetime rodent bioassay which is expensive, time-consuming, laborious, requires the sacrifice of numerous animals, and is often irrelevant to humans. Hence alternative strategies to the rodent lifetime bioassay for prediction of chemical carcinogens are being pursued, especially for the liver which is an organ frequently affected by exogenous chemicals due to its detoxifying and metabolic roles. Numerous studies in recent years support the important role of microRNAs in cancer development, including hepatocellular carcinoma. The principal hypothesis of this project was that hepatic microRNA signatures can contribute to the earlier prediction of chemical hepatocarcinogens. Examination of livers from male Fischer rats treated with six chemical hepatocarcinogens, with diverse mode of actions for 90 days revealed that all the tested hepatocarcinogens affected the liver miRNAome from that early stage. Interestingly, a small set of microRNAs were identified whose expression -
2NCOMMS-18-06274-A Revise Supplementary Figure
Supplementary Information FoxK1 and FoxK2 are Components in Insulin Regulation of Cellular and Mitochondrial Metabolism Sakaguchi et al a ProteomicsProteomics screening screening of IR/IGF1Rof IR/IGF1R binding binding proteins proteinsin the in insulinthe insulin dependent DepenDent manner manner Total: 1469proteins 5 quantified peptide: 707 proteins (Including IRS1 and IRS2) (IR+/IR-1.5, IGF1R+/IGF1R-1.5, IR/IGF1R+/ IR/IGF1R-1.5 ) IGF1R/IR+/ IGf1R/IR-1.5 ) Total 11 proteins IR +/- 2 1.5 3 IGF1R +/-1.5 11 Common proteins →protein 5 FoxK1 (Forkhead box protein K1) 3 IR/IGF1R +/- 1.5 IGF1R/IR +/-1.5 b 5000 4000 3000 2000 1000 FoxK1 Expression FoxK1 … 0 … TA SCF EDL PGF liver Skin Lung Heart RETF BATF Testis Uterus Spleen Soleus Kidney Bladder Stomach Pancreas Cerebellum Quadriceps Epidydimus Gall bladder Hippocampus Adrenal gland Hypothalamus Small intestine Raphe nucleus Gastrocnemius Nucleus tractus Substantia nigra Prefrontal cortex Caudate putamen Ventral tegmental c Nucleus accumbens 3000 2000 Expression 1000 FoxK2 FoxK2 … … 0 … TA SCF EDL PGF liver Skin Lung Heart RETF BATF Testis Uterus Spleen Soleus Kidney Bladder Nucleus Stomach Pancreas Cerebellum Quadriceps Epidydimus Gall bladder Hippocampus Adrenal gland Hypothalamus Small intestine Raphe nucleus Gastrocnemius Nucleus tractus Substantia nigra Prefrontal cortex Caudate putamen Ventral tegmental Sakaguchi et al., Supplementary Figure 1 d DifferentiateD brown adipocytes e Astrocytes Cytoplasm Nucleus Cytoplasm Nucleus Insulin 0 5 10 30 0 5 10 30 min Insulin 0 5 10 30 0 5 10 30 min FoxK1 FoxK1 75 75 75 FoxO1 75 FoxO1 75 75 LaminA/C LaminA/C 37 37 GAPDH GAPDH Supplementary Figure 1. -
Susceptibility Loci of CNOT6 in the General Mrna Degradation Pathway and Lung Cancer Risk-A Re-Analysis of Eight Gwass
Providence St. Joseph Health Providence St. Joseph Health Digital Commons Articles, Abstracts, and Reports 4-1-2017 Susceptibility loci of CNOT6 in the general mRNA degradation pathway and lung cancer risk-A re-analysis of eight GWASs. Fei Zhou Yanru Wang Hongliang Liu Neal Ready Younghun Han See next page for additional authors Follow this and additional works at: https://digitalcommons.psjhealth.org/publications Part of the Oncology Commons Authors Fei Zhou, Yanru Wang, Hongliang Liu, Neal Ready, Younghun Han, Rayjean J Hung, Yonathan Brhane, John McLaughlin, Paul Brennan, Heike Bickeböller, Albert Rosenberger, Richard S Houlston, Neil Caporaso, Maria Teresa Landi, Irene Brüske, Angela Risch, Yuanqing Ye, Xifeng Wu, David C Christiani, Gary Goodman, Chu Chen, Christopher I Amos, and Qingyi Wei HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Mol Carcinog Manuscript Author . Author manuscript; Manuscript Author available in PMC 2017 April 01. Published in final edited form as: Mol Carcinog. 2017 April ; 56(4): 1227–1238. doi:10.1002/mc.22585. Susceptibility loci of CNOT6 in the general mRNA degradation pathway and lung cancer risk - a re-analysis of eight GWASs Fei Zhou1,2,3,4,5,*, Yanru Wang1,2,*, Hongliang Liu1,2, Neal Ready1,2, Younghun Han6, Rayjean J. Hung7, Yonathan Brhane7, John McLaughlin8, Paul Brennan9, Heike Bickeböller10, Albert Rosenberger10, Richard S. Houlston11, Neil Caporaso12, Maria Teresa Landi12, Irene Brüske13, Angela Risch14, Yuanqing Ye15, Xifeng Wu15, David C. Christiani16, Gary Goodman17,18, -
FOXK2 Downregulation Suppresses EMT in Hepatocellular Carcinoma
Open Medicine 2020; 15: 702–708 Research Article Jian Kong#, Qingyun Zhang#, Xuefeng Liang, Wenbing Sun* FOXK2 downregulation suppresses EMT in hepatocellular carcinoma https://doi.org/10.1515/med-2020-0129 Keywords: hepatocellular carcinoma, FOXK2, epithe- received December 22, 2019; accepted March 31, 2020 lial–mesenchymal transition, Akt Abstract: Forkhead box K2 (FOXK2) was first identified as an NFAT-like interleukin-binding factor. FOXK2 has been reported to act as either oncogene or tumor suppressor. However, functional and regulating mechan- 1 Introduction isms of FOXK2 in epithelial–mesenchymal transition ( ) (EMT) in hepatocellular carcinoma (HCC) remain un- Hepatocellular carcinoma HCC is listed as the sixth clear. An FOXK2-specific siRNA was employed to most common neoplasm and the third leading cause of decrease the endogenous expression of FOXK2. MTT cancer death, which has been recognized as a major [ ] assay, colony formation and transwell assay were used cause of death among cirrhotic patients 1 . Surgical to evaluate proliferation, migration and invasion of resection, liver transplantation and radiofrequency [ ] Hep3B and HCCLM3 cells, respectively. The protein ablation are considered potentially curative for HCC 2 . expression associated with EMT and Akt signaling However, most HCC patients are diagnosed at advanced pathways was evaluated using western blot. FOXK2 stages when surgical treatments are unsuitable. Only downregulation could inhibit cell proliferation and sorafenib and regorafenib are proven to prolong survival [ – ] colony formation and suppress migration and invasion in HCC 3 8 . Therefore, development of new targeted in Hep3B and HCCLM3 cells. The expression of E- therapy for HCC treatment is urgent. ( ) cadherin was significantly upregulated, and the expres- The structure of Forkhead box FOX proteins contains fi sion of snail and p-Akt was significantly downregulated conserved DNA binding domain, which is de ned as the - - in siFOXK2-transfected cells compared with control cells. -
A Single Gene Network Accurately Predicts Phenotypic Effects of Gene Perturbation in Caenorhabditis Elegans
ARTICLES A single gene network accurately predicts phenotypic effects of gene perturbation in Caenorhabditis elegans Insuk Lee1,4, Ben Lehner2–4, Catriona Crombie2, Wendy Wong2, Andrew G Fraser2 & Edward M Marcotte1 The fundamental aim of genetics is to understand how an organism’s phenotype is determined by its genotype, and implicit in this is predicting how changes in DNA sequence alter phenotypes. A single network covering all the genes of an organism might guide such predictions down to the level of individual cells and tissues. To validate this approach, we computationally generated a network covering most C. elegans genes and tested its predictive capacity. Connectivity within this network predicts essentiality, identifying this relationship as an evolutionarily conserved biological principle. Critically, the network makes tissue-specific predictions—we accurately identify genes for most systematically assayed loss-of-function phenotypes, which span diverse http://www.nature.com/naturegenetics cellular and developmental processes. Using the network, we identify 16 genes whose inactivation suppresses defects in the retinoblastoma tumor suppressor pathway, and we successfully predict that the dystrophin complex modulates EGF signaling. We conclude that an analogous network for human genes might be similarly predictive and thus facilitate identification of disease genes and rational therapeutic targets. The central goal of genetics is to understand how heritable informa- not explicitly reflect multiple cell types, tissues or stages of -
39UTR Shortening Identifies High-Risk Cancers with Targeted Dysregulation
OPEN 39UTR shortening identifies high-risk SUBJECT AREAS: cancers with targeted dysregulation of GENE REGULATORY NETWORKS the ceRNA network REGULATORY NETWORKS Li Li1*, Duolin Wang2*, Mengzhu Xue1*, Xianqiang Mi1, Yanchun Liang2 & Peng Wang1,3 Received 1 2 15 April 2014 Key Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, College of Computer Science and Technology, Jilin University, 3School of Life Science and Technology, ShanghaiTech University. Accepted 3 June 2014 Competing endogenous RNA (ceRNA) interactions form a multilayered network that regulates gene Published expression in various biological pathways. Recent studies have demonstrated novel roles of ceRNA 23 June 2014 interactions in tumorigenesis, but the dynamics of the ceRNA network in cancer remain unexplored. Here, we examine ceRNA network dynamics in prostate cancer from the perspective of alternative cleavage and polyadenylation (APA) and reveal the principles of such changes. Analysis of exon array data revealed that both shortened and lengthened 39UTRs are abundant. Consensus clustering with APA data stratified Correspondence and cancers into groups with differing risks of biochemical relapse and revealed that a ceRNA subnetwork requests for materials enriched with cancer genes was specifically dysregulated in high-risk cancers. The novel connection between should be addressed to 39UTR shortening and ceRNA network dysregulation was supported by the unusually high number of P.W. (wangpeng@ microRNA response elements (MREs) shared by the dysregulated ceRNA interactions and the significantly sari.ac.cn) altered 39UTRs. The dysregulation followed a fundamental principle in that ceRNA interactions connecting genes that show opposite trends in expression change are preferentially dysregulated. This targeted dysregulation is responsible for the majority of the observed expression changes in genes with significant * These authors ceRNA dysregulation and represents a novel mechanism underlying aberrant oncogenic expression. -
Functional Characterization of CNOT3 Variants Identified in Familial Adenomatous Polyposis Adenomas
www.oncotarget.com Oncotarget, 2019, Vol. 10, (No. 39), pp: 3939-3951 Research Paper Functional characterization of CNOT3 variants identified in familial adenomatous polyposis adenomas Richard Glenn C. Delacruz1, Imelda T. Sandoval1, Kyle Chang2,7, Braden N. Miller1,8, Laura Reyes-Uribe2, Ester Borras2, Patrick M. Lynch3,6, Melissa W. Taggart4, Ernest T. Hawk2, Eduardo Vilar2,5,6,7,* and David A. Jones1,* 1Functional and Chemical Genomics, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA 2Department of Clinical Cancer Prevention, The University of Texas UTHealth MD Anderson Cancer Center, Houston, TX, USA 3Department of Gastroenterology, Hepatology and Nutrition, The University of Texas UTHealth MD Anderson Cancer Center, Houston, TX, USA 4Department of Pathology, The University of Texas UTHealth MD Anderson Cancer Center, Houston, TX, USA 5Department of GI Medical Oncology, The University of Texas UTHealth MD Anderson Cancer Center, Houston, TX, USA 6Clinical Genetics Program, The University of Texas UTHealth MD Anderson Cancer Center, Houston, TX, USA 7Graduate School of Biomedical Sciences, The University of Texas UTHealth MD Anderson Cancer Center, Houston, TX, USA 8College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA *These authors contributed equally to this work Correspondence to: David A. Jones, email: [email protected] Eduardo Vilar, email: [email protected] Keywords: familial adenomatous polyposis; colon cancer; APC; CNOT3; CtBP1 Received: April 16, 2019 Accepted: May 20, 2019 Published: June 11, 2019 Copyright: Delacruz et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.