Rarγ Is Required for Mesodermal Gene Expression Prior to Gastrulation in Xenopus Amanda Janesick1,*, Weiyi Tang1,‡, Toshi Shioda2 and Bruce Blumberg1,3,§
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Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
A Genome-Wide Analysis of the ERF Gene Family in Sorghum
A genome-wide analysis of the ERF gene family in sorghum H.W. Yan, L. Hong, Y.Q. Zhou, H.Y. Jiang, S.W. Zhu, J. Fan and B.J. Cheng Key Laboratory of Crop Biology of Anhui Province, Anhui Agricultural University, Hefei, China Corresponding author: B.J. Cheng E-mail: [email protected] Genet. Mol. Res. 12 (2): 2038-2055 (2013) Received November 9, 2012 Accepted March 8, 2013 Published May 13, 2013 DOI http://dx.doi.org/10.4238/2013.May.13.1 ABSTRACT. The ethylene response factor (ERF) family are members of the APETALA2 (AP2)/ERF transcription factor superfamily; they are known to play an important role in plant adaptation to biotic and abiotic stress. ERF genes have been studied in Arabidopsis, rice, grape, and maize; however, there are few reports of ERF genes in sorghum. We identified 105 sorghum ERF (SbERF) genes, which were categorized into 12 groups (A-1 to A-6 and B-1 to B-6) based on their sequence similarity, and this new method of classification for ERF genes was then further characterized. A comprehensive bioinformatic analysis of SbERF genes was performed using a sorghum genomic database, to analyze the phylogeny of SbERF genes, identify other conserved motifs apart from the AP2/ERF domain, map SbERF genes to the 10 sorghum chromosomes, and determine the tissue-specific expression patterns of SbERF genes. Gene clustering indicates that SbERF genes were generated by tandem duplications. Comparison of SbERF genes with maize ERF homologs suggests lateral gene transfer between monocot species. These results can contribute to our understanting of Genetics and Molecular Research 12 (2): 2038-2055 (2013) ©FUNPEC-RP www.funpecrp.com.br Analysis of the ERF gene family in sorghum 2039 the evolution of the ERF gene family. -
Experimental Chronic Jet Lag Promotes Growth and Lung Metastasis of Lewis Lung Carcinoma in C57BL/6 Mice
ONCOLOGY REPORTS 27: 1417-1428, 2012 Experimental chronic jet lag promotes growth and lung metastasis of Lewis lung carcinoma in C57BL/6 mice 1,2,6 1,3 1,4 1,2 1,5 MINGWEI WU , JING ZENG , YANFENG CHEN , ZHAOLEI ZENG , JINXIN ZHANG , YUCHEN CAI1,2, YANLI YE1,2, LIWU FU1,2, LIJIAN XIAN1,2 and ZHONGPING CHEN1,6 1 2 3 4 State Key Laboratory of Oncology in South China; Departments of Research, Pathology, and Head and Neck Cancer, Cancer Center, Sun Yat-Sen University; 5Department of Medical Statistics and Epidemiology, Sun Yat-Sen University; 6Department of Neurosurgery, Cancer Center, Sun Yat-Sen University, Guangzhou, Guangdong, P.R. China Received December 8, 2011; Accepted January 17, 2012 DOI: 10.3892/or.2012.1688 Abstract. Circadian rhythm has been linked to cancer genesis are governed by a biological clock. The mammalian circadian and development, but the detailed mechanism by which circa- clock contains three components: input pathways, a central dian disruption accelerates tumor growth remains unclear. The pacemaker and output pathways. The mammalian central purpose of this study was to investigate the effect of circadian pacemaker is located in the suprachiasmatic nuclei (SCN) disruption on tumor growth and metastasis in male C57BL/6 of the anterior hypothalamus and controls the activity of the mice, using an experimental chronic jet lag model. Lewis lung peripheral clocks through the neuroendocrine and autonomic carcinoma cells were inoculated into both flanks of the mice nervous systems (1,2). Circadian rhythms govern the rhythmic following 10 days of exposure to experimental chronic jet lag changes in the behavior and/or physiology of mammals, such or control conditions. -
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. -
UNIVERSITY of CALIFORNIA, IRVINE Combinatorial Regulation By
UNIVERSITY OF CALIFORNIA, IRVINE Combinatorial regulation by maternal transcription factors during activation of the endoderm gene regulatory network DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biological Sciences by Kitt D. Paraiso Dissertation Committee: Professor Ken W.Y. Cho, Chair Associate Professor Olivier Cinquin Professor Thomas Schilling 2018 Chapter 4 © 2017 Elsevier Ltd. © 2018 Kitt D. Paraiso DEDICATION To the incredibly intelligent and talented people, who in one way or another, helped complete this thesis. ii TABLE OF CONTENTS Page LIST OF FIGURES vii LIST OF TABLES ix LIST OF ABBREVIATIONS X ACKNOWLEDGEMENTS xi CURRICULUM VITAE xii ABSTRACT OF THE DISSERTATION xiv CHAPTER 1: Maternal transcription factors during early endoderm formation in 1 Xenopus Transcription factors co-regulate in a cell type-specific manner 2 Otx1 is expressed in a variety of cell lineages 4 Maternal otx1 in the endodermal conteXt 5 Establishment of enhancers by maternal transcription factors 9 Uncovering the endodermal gene regulatory network 12 Zygotic genome activation and temporal control of gene eXpression 14 The role of maternal transcription factors in early development 18 References 19 CHAPTER 2: Assembly of maternal transcription factors initiates the emergence 26 of tissue-specific zygotic cis-regulatory regions Introduction 28 Identification of maternal vegetally-localized transcription factors 31 Vegt and OtX1 combinatorially regulate the endodermal 33 transcriptome iii -
The Many Roles of MITF in Melanoma
e Cell Bio gl lo n g i y S Vachtenheim, Single Cell Biol 2017, 6:2 Single-Cell Biology DOI: 10.4172/2168-9431.1000162 ISSN: 2168-9431 Mini Review Open Access The Many Roles of MITF in Melanoma Jiri Vachtenheim* Department of Transcription and Cell Signaling, Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital Prague, Czech Republic Abstract Microphthalmia-associated transcription factor (MITF) plays pivotal role in the maintenance of the melanocyte lineage, differentiation of normal and malignant melanocytes and the survival of melanoma cells. MITF regulates expression of many genes with critical functions in cell differentiation, proliferation, and pro-survival properties. Melanoma is an extremely resilient tumor for which no effective therapy exists when the tumor progresses into metastasis. Melanoma is a heterogenous tumor in which the microheterogeneity arises already in the first stages of the tumor development. Because the dependence of the melanocyte lineage on MITF is critical, MITF is regarded as the paradigmatic lineage-addiction oncogene and its gene is amplified in a smaller subset of melanomas. The level of MITF protein greatly differs among the tumor cells. Intriguingly, low MITF level cells are slowly proliferating but constitute an invasive subpopulation of tumor cells. In this minireview, I briefly discuss the many roles and activities of MITF in melanoma cells and the future prospects for melanoma therapy. Keywords: MITF; Melanoma; Phenotype switching; Melanoma was shown to be the necessary epigenetic transcriptional coactivator of proliferation; Differentiation; Invasion; Apoptosis MITF [21] and some of MITF targets [22]. Introduction Importance of MITF for Melanoma Differentiation and Malignant melanoma is a highly aggressive skin cancer, the Proliferation incidence of which is steadily on the rise. -
University of Birmingham Obeticholic Acid for the Treatment of Primary Biliary Cirrhosis
University of Birmingham Obeticholic acid for the treatment of primary biliary cirrhosis Trivedi, Palak J; Hirschfield, Gideon M; Gershwin, M Eric DOI: 10.1586/17512433.2015.1092381 License: None: All rights reserved Document Version Peer reviewed version Citation for published version (Harvard): Trivedi, PJ, Hirschfield, GM & Gershwin, ME 2016, 'Obeticholic acid for the treatment of primary biliary cirrhosis', Expert Review of Clinical Pharmacology, vol. 9, no. 1, pp. 13-26. https://doi.org/10.1586/17512433.2015.1092381 Link to publication on Research at Birmingham portal Publisher Rights Statement: Eligibility for repository: Checked on 29/2/2016 General rights Unless a licence is specified above, all rights (including copyright and moral rights) in this document are retained by the authors and/or the copyright holders. The express permission of the copyright holder must be obtained for any use of this material other than for purposes permitted by law. •Users may freely distribute the URL that is used to identify this publication. •Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. •User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (?) •Users may not further distribute the material nor use it for the purposes of commercial gain. Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document. When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
The Cis-Trans Binding Strength Defined by Motif Frequencies Facilitates Statistical Inference of Transcriptional Regulation
Feng et al. BMC Bioinformatics 2019, 20(Suppl 7):201 https://doi.org/10.1186/s12859-019-2732-6 RESEARCH Open Access The cis-trans binding strength defined by motif frequencies facilitates statistical inference of transcriptional regulation Yance Feng1,2†, Sheng Zhang1,2†, Liang Li1,2 and Lei M. Li1,2,3* From The 12th International Conference on Computational Systems Biology (ISB 2018) Guiyang, China. 18-21 August 2018 Abstract Background: A key problem in systems biology is the determination of the regulatory mechanism corresponding to a phenotype. An empirical approach in this regard is to compare the expression profiles of cells under two conditions or tissues from two phenotypes and to unravel the underlying transcriptional regulation. We have proposed the method BASE to statistically infer the effective regulatory factors that are responsible for the gene expression differentiation with the help from the binding data between factors and genes. Usually the protein-DNA binding data are obtained by ChIP-seq experiments, which could be costly and are condition-specific. Results: Here we report a definition of binding strength based on a probability model. Using this condition-free definition, the BASE method needs only the frequencies of cis-motifs in regulatory regions, thereby the inferences can be carried out in silico. The directional regulation can be inferred by considering down- and up-regulation separately.Weshowedtheeffectivenessoftheapproachbyonecasestudy.Inthestudyoftheeffectsof polyunsaturated fatty acids (PUFA), namely, docosahexaenoic (DHA) and eicosapentaenoic (EPA) diets on mouse small intestine cells, the inferences of regulations are consistent with those reported in the literature, including PPARα and NFκB, respectively corresponding to enhanced adipogenesis and reduced inflammation. -
Rats and Axolotls Share a Common Molecular Signature After Spinal Cord Injury Enriched in Collagen-1
Rats and axolotls share a common molecular signature after spinal cord injury enriched in collagen-1 Athanasios Didangelos1, Katalin Bartus1, Jure Tica1, Bernd Roschitzki2, Elizabeth J. Bradbury1 1Wolfson CARD King’s College London, United Kingdom. 2Centre for functional Genomics, ETH Zurich, Switzerland. Running title: spinal cord injury in rats and axolotls Correspondence: A Didangelos: [email protected] SUPPLEMENTAL FIGURES AND LEGENDS Supplemental Fig. 1: Rat 7 days microarray differentially regulated transcripts. A-B: Protein-protein interaction networks of upregulated (A) and downregulated (B) transcripts identified by microarray gene expression profiling of rat SCI (4 sham versus 4 injured spinal cord samples) 7 days post-injury. Microarray expression data and experimental information is publicly available online (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45006) and is also summarised in Supplemental Table 1. Protein-protein interaction networks were performed in StringDB using the full range of protein interaction scores (0.15 – 0.99) to capture maximum evidence of proteins’ interactions. Networks were then further analysed for betweeness centrality and gene ontology (GO) annotations (BinGO) in Cytoscape. Node colour indicates betweeness centrality while edge colour and thickness indicate interaction score based on predicted functional links between nodes (green: low values; red: high values). C-D: The top 10 upregulated (C) or downregulated (D) transcripts sorted by betweeness centrality score in protein-protein interaction networks shown in A & B. E-F: Biological process GO analysis was performed on networks of upregulated and downregulated genes using BinGO in Cytoscape. Graphs indicate the 20 most significant GO categories and the number of genes in each category. -
KRAS Drives Immune Evasion in a Genetic Model of Pancreatic Cancer
ARTICLE https://doi.org/10.1038/s41467-021-21736-w OPEN KRAS drives immune evasion in a genetic model of pancreatic cancer Irene Ischenko1, Stephen D’Amico1, Manisha Rao2, Jinyu Li2, Michael J. Hayman1, Scott Powers 2, ✉ ✉ Oleksi Petrenko 1,3 & Nancy C. Reich 1,3 Immune evasion is a hallmark of KRAS-driven cancers, but the underlying causes remain unresolved. Here, we use a mouse model of pancreatic ductal adenocarcinoma to inactivate 1234567890():,; KRAS by CRISPR-mediated genome editing. We demonstrate that at an advanced tumor stage, dependence on KRAS for tumor growth is reduced and is manifested in the sup- pression of antitumor immunity. KRAS-deficient cells retain the ability to form tumors in immunodeficient mice. However, they fail to evade the host immune system in syngeneic wild-type mice, triggering strong antitumor response. We uncover changes both in tumor cells and host immune cells attributable to oncogenic KRAS expression. We identify BRAF and MYC as key mediators of KRAS-driven tumor immune suppression and show that loss of BRAF effectively blocks tumor growth in mice. Applying our results to human PDAC we show that lowering KRAS activity is likewise associated with a more vigorous immune environment. 1 Department of Molecular Genetics and Microbiology, Stony Brook University, Stony Brook, NY, USA. 2 Department of Pathology, Stony Brook University, ✉ Stony Brook, NY, USA. 3These authors jointly supervised this work: Oleksi Petrenko, Nancy C. Reich. email: [email protected]; [email protected] NATURE COMMUNICATIONS | (2021) 12:1482 | https://doi.org/10.1038/s41467-021-21736-w | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-021-21736-w RAS is frequently associated with some of the deadliest and characterization of KRASG12D p53KO mouse cell lines forms of cancer.