CARM1 Inhibition Enables Immunotherapy of Resistant Tumors by Dual Action on Tumor Cells and T Cells
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Figure 2S 4 7 A - C 080125 CSCs 080418 CSCs - + IFN-a 48 h + IFN-a 48 h + IFN-a 72 h 6 + IFN-a 72 h 3 5 MRFI 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 7 B 13 080125 FBS - D 080418 FBS - + IFN-a 48 h 12 + IFN-a 48 h + IFN-a 72 h + IFN-a 72 h 6 080125 FBS 11 10 5 9 8 4 7 6 3 MRFI 5 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 Molecule Molecule FIGURE 4S FIGURE 5S Panel A Panel B FIGURE 6S A B C D Supplemental Results Table 1S. Modulation by IFN-α of APM in GBM CSC and FBS tumor cell lines. Molecule * Cell line IFN-α‡ HLA β2-m# HLA LMP TAP1 TAP2 class II A A HC§ 2 7 10 080125 CSCs - 1∞ (1) 3 (65) 2 (91) 1 (2) 6 (47) 2 (61) 1 (3) 1 (2) 1 (3) + 2 (81) 11 (80) 13 (99) 1 (3) 8 (88) 4 (91) 1 (2) 1 (3) 2 (68) 080125 FBS - 2 (81) 4 (63) 4 (83) 1 (3) 6 (80) 3 (67) 2 (86) 1 (3) 2 (75) + 2 (99) 14 (90) 7 (97) 5 (75) 7 (100) 6 (98) 2 (90) 1 (4) 3 (87) 080418 CSCs - 2 (51) 1 (1) 1 (3) 2 (47) 2 (83) 2 (54) 1 (4) 1 (2) 1 (3) + 2 (81) 3 (76) 5 (75) 2 (50) 2 (83) 3 (71) 1 (3) 2 (87) 1 (2) 080418 FBS - 1 (3) 3 (70) 2 (88) 1 (4) 3 (87) 2 (76) 1 (3) 1 (3) 1 (2) + 2 (78) 7 (98) 5 (99) 2 (94) 5 (100) 3 (100) 1 (4) 2 (100) 1 (2) 070104 CSCs - 1 (2) 1 (3) 1 (3) 2 (78) 1 (3) 1 (2) 1 (3) 1 (3) 1 (2) + 2 (98) 8 (100) 10 (88) 4 (89) 3 (98) 3 (94) 1 (4) 2 (86) 2 (79) * expression of APM molecules was evaluated by intracellular staining and cytofluorimetric analysis; ‡ cells were treatead or not (+/-) for 72 h with 1000 IU/ml of IFN-α; # β-2 microglobulin; § β-2 microglobulin-free HLA-A heavy chain; ∞ values are indicated as ratio between the mean of fluorescence intensity of cells stained with the selected mAb and that of the negative control; bold values indicate significant MRFI (≥ 2). -
Activated Peripheral-Blood-Derived Mononuclear Cells
Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays. -
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. -
The E–Id Protein Axis Modulates the Activities of the PI3K–AKT–Mtorc1
Downloaded from genesdev.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press The E–Id protein axis modulates the activities of the PI3K–AKT–mTORC1– Hif1a and c-myc/p19Arf pathways to suppress innate variant TFH cell development, thymocyte expansion, and lymphomagenesis Masaki Miyazaki,1,8 Kazuko Miyazaki,1,8 Shuwen Chen,1 Vivek Chandra,1 Keisuke Wagatsuma,2 Yasutoshi Agata,2 Hans-Reimer Rodewald,3 Rintaro Saito,4 Aaron N. Chang,5 Nissi Varki,6 Hiroshi Kawamoto,7 and Cornelis Murre1 1Department of Molecular Biology, University of California at San Diego, La Jolla, California 92093, USA; 2Department of Biochemistry and Molecular Biology, Shiga University of Medical School, Shiga 520-2192, Japan; 3Division of Cellular Immunology, German Cancer Research Center, D-69120 Heidelberg, Germany; 4Department of Medicine, University of California at San Diego, La Jolla, California 92093, USA; 5Center for Computational Biology, Institute for Genomic Medicine, University of California at San Diego, La Jolla, California 92093, USA; 6Department of Pathology, University of California at San Diego, La Jolla, California 92093, USA; 7Department of Immunology, Institute for Frontier Medical Sciences, Kyoto University, Kyoto 606-8507, Japan It is now well established that the E and Id protein axis regulates multiple steps in lymphocyte development. However, it remains unknown how E and Id proteins mechanistically enforce and maintain the naı¨ve T-cell fate. Here we show that Id2 and Id3 suppressed the development and expansion of innate variant follicular helper T (TFH) cells. Innate variant TFH cells required major histocompatibility complex (MHC) class I-like signaling and were associated with germinal center B cells. -
2020 Program Book
PROGRAM BOOK Note that TAGC was cancelled and held online with a different schedule and program. This document serves as a record of the original program designed for the in-person meeting. April 22–26, 2020 Gaylord National Resort & Convention Center Metro Washington, DC TABLE OF CONTENTS About the GSA ........................................................................................................................................................ 3 Conference Organizers ...........................................................................................................................................4 General Information ...............................................................................................................................................7 Mobile App ....................................................................................................................................................7 Registration, Badges, and Pre-ordered T-shirts .............................................................................................7 Oral Presenters: Speaker Ready Room - Camellia 4.......................................................................................7 Poster Sessions and Exhibits - Prince George’s Exhibition Hall ......................................................................7 GSA Central - Booth 520 ................................................................................................................................8 Internet Access ..............................................................................................................................................8 -
Arginine Methylation Facilitates the Recruitment of TOP3B to Chromatin to Prevent R Loop Accumulation
Molecular Cell Article Arginine Methylation Facilitates the Recruitment of TOP3B to Chromatin to Prevent R Loop Accumulation Yanzhong Yang,1 Kevin M. McBride,1 Sean Hensley,1 Yue Lu,1 Frederic Chedin,2 and Mark T. Bedford1,* 1The University of Texas MD Anderson Cancer Center, P.O. Box 389, Smithville, TX 78957, USA 2Department of Molecular & Cellular Biology, The University of California at Davis, Davis, CA 95616, USA *Correspondence: [email protected] http://dx.doi.org/10.1016/j.molcel.2014.01.011 SUMMARY nine methyltransferase 1), which deposit the H4R3me2a and H3R17me2a marks, respectively (Yang and Bedford, 2013). Tudor domain-containing protein 3 (TDRD3) is a Both of these marks are recognized by the Tudor domain of major methylarginine effector molecule that reads TDRD3 (Yang et al., 2010), a protein that is enriched at the pro- methyl-histone marks and facilitates gene transcrip- moters of highly transcribed genes and can likely also associate tion. However, the underlying mechanism by which with the C-terminal domain (CTD) of RNA Polymerase II (RNAP II) TDRD3 functions as a transcriptional coactivator is (Sims et al., 2011). TDRD3 has no enzymatic activity of its unknown. We identified topoisomerase IIIB (TOP3B) own, but here we show that it is tightly complexed with DNA topoisomerase IIIb (TOP3B), an interaction that bestows, in as a component of the TDRD3 complex. TDRD3 part, coactivator activity on TDRD3. TOP3B is a member of serves as a molecular bridge between TOP3B and the 1A subfamily of DNA topoisomerases and, as such, targets arginine-methylated histones. The TDRD3-TOP3B underwound or negatively supercoiled DNA (Wang, 2002). -
The YAP/HIF-1Α/Mir-182/EGR2 Axis Is Implicated in Asthma Severity
Zhou et al. Cell Biosci (2021) 11:84 https://doi.org/10.1186/s13578-021-00560-1 Cell & Bioscience RESEARCH Open Access The YAP/HIF-1α/miR-182/EGR2 axis is implicated in asthma severity through the control of Th17 cell diferentiation Jing Zhou1, Ning Zhang2, Wei Zhang1, Caiju Lu1 and Fei Xu1* Abstract Background: Asthma is a heterogeneous chronic infammatory disease of the airway, involving reversible airfow limitation and airway remodeling. T helper 17 (Th17) cells play an important role in the pathogenesis of allergic asthma. However, there is limited understanding of the signaling pathways controlling Th17 cell diferentiation in asthma. The aim of this study was to investigate if the Yes-associated protein (YAP)/hypoxia inducible factor-1α (HIF-1α)/microRNA-182 (miR-182)/early growth response 2 (EGR2) axis is involved in mediating Th17 cell diferentia- tion and disease severity in asthma. Methods: The study included 29 pediatric patients with asthma, 22 healthy volunteers, ovalbumin-induced murine asthma models, and mouse naive CD4+ T cells. The subpopulation of Th17 cells was examined by fow cytometry. The levels of interleukin-17A were determined by enzyme linked immunosorbent assay. Chromatin immunoprecipitation- quantitative polymerase chain reaction assays and dual-luciferase reporter gene assays were performed to examine interactions between HIF-1α and miR-182, and between miR-182 and EGR2. Results: YAP, HIF-1α, and miR-182 were upregulated but EGR2 was downregulated in human and mouse peripheral blood mononuclear cells from the asthma group. Abundant expression of YAP and HIF-1α promoted miR-182 expres- sion and then inhibited EGR2, a target of miR-182, thus enhancing Th17 diferentiation and deteriorating asthma and lipid metabolism dysfunction. -
This Thesis Has Been Submitted in Fulfilment of the Requirements for a Postgraduate Degree (E.G
This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: This work is protected by copyright and other intellectual property rights, which are retained by the thesis author, unless otherwise stated. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the author. The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author. When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given. The CX3CR1/CX3CL1 Axis Drives the Migration and Maturation of Oligodendroglia in the Central Nervous System Catriona Ford Thesis Submitted for the Degree of Doctor of Philosophy The University of Edinburgh 2017 Abstract In the central nervous system, the axons of neurons are protected from damage and aided in electrical conductivity by the myelin sheath, a complex of proteins and lipids formed by oligodendrocytes. Loss or damage to the myelin sheath may result in impairment of electrical axonal conduction and eventually to neuronal death. Such demyelination is responsible, at least in part, for the disabling neurodegeneration observed in pathologies such as Multiple Sclerosis (MS) and Spinal Cord Injury. In the regenerative process of remyelination, oligodendrocyte precursor cells (OPCs), the resident glial stem cell population of the adult CNS, migrate toward the injury site, proliferate and differentiate into adult oligodendrocytes which subsequently reform the myelin sheath. -
The Transcription Factor EGR2 Is the Molecular Linchpin Connecting STAT6 Activation to the Late, Stable Epigenomic Program of Alternative Macrophage Polarization
Downloaded from genesdev.cshlp.org on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press The transcription factor EGR2 is the molecular linchpin connecting STAT6 activation to the late, stable epigenomic program of alternative macrophage polarization Bence Daniel,1,2,3,11,12 Zsolt Czimmerer,4,12 Laszlo Halasz,1,2,3,12 Pal Boto,4 Zsuzsanna Kolostyak,4 Szilard Poliska,4 Wilhelm K. Berger,1,2,3 Petros Tzerpos,4 Gergely Nagy,4 Attila Horvath,4 György Hajas,5 Timea Cseh,4 Aniko Nagy,4 Sascha Sauer,6,7,8,9 Jean Francois-Deleuze,10 Istvan Szatmari,4 Attila Bacsi,5 and Laszlo Nagy1,2,3,4 1Department of Medicine, 2Department of Biological Chemistry, Johns Hopkins University School of Medicine, St. Petersburg, Florida 33701, USA; 3Institute for Fundamental Biomedical Research, Johns Hopkins All Children’s Hospital, St. Petersburg, Florida 33701, USA; 4Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen 4032, Hungary; 5Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen 4032, Hungary; 6Otto Warburg Laboratory, Max Planck Institute for Molecular Genetics, Berlin 14195, Germany; 7CU Systems Medicine, University of Würzburg, Würzburg 97070, Germany; 8Berlin Institute for Medical Systems Biology, 9Berlin Institute of Health, Max-Delbrück- Center for Molecular Medicine, Berlin 13125, Germany; 10Centre National de Génotypage, Institut de Génomique, Commissariat à l’Énergie Atomique, Evry 91000, France Macrophages polarize into functionally distinct subtypes while responding to microenvironmental cues. The identity of proximal transcription factors (TFs) downstream from the polarization signals are known, but their ac- tivity is typically transient, failing to explain the long-term, stable epigenomic programs developed. -
Egr2 and 3 Control Adaptive Immune Responses by Temporally Uncoupling Expansion from T Cell Differentiation
Published Online: 9 May, 2017 | Supp Info: http://doi.org/10.1084/jem.20160553 Downloaded from jem.rupress.org on October 9, 2018 Article Egr2 and 3 control adaptive immune responses by temporally uncoupling expansion from T cell differentiation Tizong Miao,1* Alistair L.J. Symonds,1* Randeep Singh,1,2 Janine D. Symonds,3 Ane Ogbe,2 Becky Omodho,2 Bo Zhu,1,4 Suling Li,2 and Ping Wang1 1The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, England, UK 2Bioscience, Brunel University, Uxbridge UB8 3PH, England, UK 3Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), University College London, London WC1E 6BT, England, UK 4Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, People’s Republic of China Egr2 and 3 are important for maintaining immune homeostasis. Here we define a fundamental function of Egr2 and 3 oper- ating as a checkpoint that controls the transition between clonal expansion and differentiation of effector T cells. Egr2 and 3 deficiency resulted in defective clonal expansion but hyperactivation and excessive differentiation of T cells in response to viral infection. Conversely, sustained Egr2 expression enhanced expansion but severely impaired effector differentiation. Egr2 bound to and controlled the expression of genes regulating proliferation (Myc and Myb) and differentiation repressors (Bcl6, Id3), while repressing transcription factors required for effector function (Zeb2, RORa, RORc, and Bhlhe40). Egr2 and 3 ex- pression in T cells was regulated reciprocally by antigen and IFNγ, providing a mechanism for adjusting proliferation and dif- ferentiation of individual T cells. -
A Dissertation Entitled the Androgen Receptor
A Dissertation entitled The Androgen Receptor as a Transcriptional Co-activator: Implications in the Growth and Progression of Prostate Cancer By Mesfin Gonit Submitted to the Graduate Faculty as partial fulfillment of the requirements for the PhD Degree in Biomedical science Dr. Manohar Ratnam, Committee Chair Dr. Lirim Shemshedini, Committee Member Dr. Robert Trumbly, Committee Member Dr. Edwin Sanchez, Committee Member Dr. Beata Lecka -Czernik, Committee Member Dr. Patricia R. Komuniecki, Dean College of Graduate Studies The University of Toledo August 2011 Copyright 2011, Mesfin Gonit This document is copyrighted material. Under copyright law, no parts of this document may be reproduced without the expressed permission of the author. An Abstract of The Androgen Receptor as a Transcriptional Co-activator: Implications in the Growth and Progression of Prostate Cancer By Mesfin Gonit As partial fulfillment of the requirements for the PhD Degree in Biomedical science The University of Toledo August 2011 Prostate cancer depends on the androgen receptor (AR) for growth and survival even in the absence of androgen. In the classical models of gene activation by AR, ligand activated AR signals through binding to the androgen response elements (AREs) in the target gene promoter/enhancer. In the present study the role of AREs in the androgen- independent transcriptional signaling was investigated using LP50 cells, derived from parental LNCaP cells through extended passage in vitro. LP50 cells reflected the signature gene overexpression profile of advanced clinical prostate tumors. The growth of LP50 cells was profoundly dependent on nuclear localized AR but was independent of androgen. Nevertheless, in these cells AR was unable to bind to AREs in the absence of androgen. -
Original Article a Database and Functional Annotation of NF-Κb Target Genes
Int J Clin Exp Med 2016;9(5):7986-7995 www.ijcem.com /ISSN:1940-5901/IJCEM0019172 Original Article A database and functional annotation of NF-κB target genes Yang Yang, Jian Wu, Jinke Wang The State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, People’s Republic of China Received November 4, 2015; Accepted February 10, 2016; Epub May 15, 2016; Published May 30, 2016 Abstract: Backgrounds: The previous studies show that the transcription factor NF-κB always be induced by many inducers, and can regulate the expressions of many genes. The aim of the present study is to explore the database and functional annotation of NF-κB target genes. Methods: In this study, we manually collected the most complete listing of all NF-κB target genes identified to date, including the NF-κB microRNA target genes and built the database of NF-κB target genes with the detailed information of each target gene and annotated it by DAVID tools. Results: The NF-κB target genes database was established (http://tfdb.seu.edu.cn/nfkb/). The collected data confirmed that NF-κB maintains multitudinous biological functions and possesses the considerable complexity and diversity in regulation the expression of corresponding target genes set. The data showed that the NF-κB was a central regula- tor of the stress response, immune response and cellular metabolic processes. NF-κB involved in bone disease, immunological disease and cardiovascular disease, various cancers and nervous disease. NF-κB can modulate the expression activity of other transcriptional factors. Inhibition of IKK and IκBα phosphorylation, the decrease of nuclear translocation of p65 and the reduction of intracellular glutathione level determined the up-regulation or down-regulation of expression of NF-κB target genes.