„Role of STAT3 N-Terminal Domain and GAS-Site Recognition in Signaling and Crosstalk with STAT1 and NF-Κb”
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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. -
Aberrant Activity of Histone–Lysine N-Methyltransferase 2 (KMT2) Complexes in Oncogenesis
International Journal of Molecular Sciences Review Aberrant Activity of Histone–Lysine N-Methyltransferase 2 (KMT2) Complexes in Oncogenesis Elzbieta Poreba 1,* , Krzysztof Lesniewicz 2 and Julia Durzynska 1,* 1 Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University, ul. Uniwersytetu Pozna´nskiego6, 61-614 Pozna´n,Poland 2 Department of Molecular and Cellular Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, ul. Uniwersytetu Pozna´nskiego6, 61-614 Pozna´n,Poland; [email protected] * Correspondence: [email protected] (E.P.); [email protected] (J.D.); Tel.: +48-61-829-5857 (E.P.) Received: 19 November 2020; Accepted: 6 December 2020; Published: 8 December 2020 Abstract: KMT2 (histone-lysine N-methyltransferase subclass 2) complexes methylate lysine 4 on the histone H3 tail at gene promoters and gene enhancers and, thus, control the process of gene transcription. These complexes not only play an essential role in normal development but have also been described as involved in the aberrant growth of tissues. KMT2 mutations resulting from the rearrangements of the KMT2A (MLL1) gene at 11q23 are associated with pediatric mixed-lineage leukemias, and recent studies demonstrate that KMT2 genes are frequently mutated in many types of human cancers. Moreover, other components of the KMT2 complexes have been reported to contribute to oncogenesis. This review summarizes the recent advances in our knowledge of the role of KMT2 complexes in cell transformation. In addition, it discusses the therapeutic targeting of different components of the KMT2 complexes. Keywords: histone–lysine N-methyltransferase 2; COMPASS; COMPASS-like; H3K4 methylation; oncogenesis; cancer; epigenetics; chromatin 1. -
Differential Mitochondrial Proteomic Analysis of A549 Cells Infected With
Yang et al. Virol J (2021) 18:39 https://doi.org/10.1186/s12985-021-01512-4 RESEARCH Open Access Diferential mitochondrial proteomic analysis of A549 cells infected with avian infuenza virus subtypes H5 and H9 Yuting Yang1, Yun Zhang1, Changcheng Yang1, Fang Fang1, Ying Wang1, Haiyan Chang1*, Ze Chen1,2* and Ping Chen1* Abstract Background: Both the highly pathogenic avian infuenza (HPAI) H5N1 and low pathogenic avian infuenza (LPAI) H9N2 viruses have been reported to cross species barriers to infect humans. H5N1 viruses can cause severe damage and are associated with a high mortality rate, but H9N2 viruses do not cause such outcomes. Our purpose was to use proteomics technology to study the diferential expression of mitochondrial-related proteins related to H5N1 and H9N2 virus infections. Methods: According to the determined viral infection titer, A549 cells were infected with 1 multiplicity of infec- tion virus, and the mitochondria were extracted after 24 h of incubation. The protein from lysed mitochondria was analyzed by the BCA method to determine the protein concentration, as well as SDS-PAGE (preliminary analysis), two-dimensional gel electrophoresis, and mass spectrometry. Diferential protein spots were selected, and Western blotting was performed to verify the proteomics results. The identifed proteins were subjected to GO analysis for subcellular localization, KEGG analysis for functional classifcation and signaling pathways assessment, and STRING analysis for functional protein association network construction. Results: In the 2-D gel electrophoresis analysis, 227 protein spots were detected in the H5N1-infected group, and 169 protein spots were detected in the H9N2-infected group. Protein spots were further subjected to mass spectrom- etry identifcation and removal of redundancy, and 32 diferentially expressed proteins were identifed. -
Blueprint Genetics ECHS1 Single Gene Test
ECHS1 single gene test Test code: S00619 Phenotype information Mitochondrial short-chain enoyl-CoA hydratase 1 deficiency Alternative gene names SCEH Panels that include the ECHS1 gene Epileptic Encephalopathy Panel Fatty Acid Oxidation Syndrome Panel Comprehensive Epilepsy Panel Beyond Paediatric Epilepsy Panel – for Europe and Middle East Comprehensive Metabolism Panel Test Strengths The strengths of this test include: CAP accredited laboratory CLIA-certified personnel performing clinical testing in a CLIA-certified laboratory Powerful sequencing technologies, advanced target enrichment methods and precision bioinformatics pipelines ensure superior analytical performance Careful construction of clinically effective and scientifically justified gene panels Our Nucleus online portal providing transparent and easy access to quality and performance data at the patient level Our publicly available analytic validation demonstrating complete details of test performance ~2,000 non-coding disease causing variants in our clinical grade NGS assay for panels (please see ‘Non-coding disease causing variants covered by this test’) Our rigorous variant classification scheme Our systematic clinical interpretation workflow using proprietary software enabling accurate and traceable processing of NGS data Our comprehensive clinical statements Test Limitations This test does not detect the following: Complex inversions Gene conversions Balanced translocations Mitochondrial DNA variants Repeat expansion disorders unless specifically mentioned Non-coding -
The Role of Gata2 in Hematopoietic and Vascular Development By
The Role of Gata2 in Hematopoietic and Vascular Development by William D Brandt A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Cellular and Molecular Biology) in The University of Michigan 2009 Doctoral Committee: Professor James Douglas Engel, Chair Professor Eric R Fearon Professor Deborah L Gumucio Associate Professor Thomas M Glaser William D Brandt 2009 Dedication To my family, without whom this PhD would never have been possible. ii Acknowledgements The Engel lab and the University of Michigan will always have my deepest gratitude, particularly the lab’s proprietor and my thesis advisor Doug Engel, whose love of science and good nature has always been a source of inspiration. Doug has been instrumental in my growth as a nascent scientist and I will forever be indebted to him. My gratitude also goes to Kim-Chew Lim and Tomo Hosoya, whose wealth of knowledge and support were relied upon regularly. To Deb Gumucio, Tom Glaser, and Eric Fearon, whose advice and support facilitated my maturation from a naïve student to a proficient scientist – thank you. And to Lori Longeway and Kristin Hug, whose capabilities as department representatives I repeatedly put to the test; you came through for me every time. Thank you. Finally, no amount of words can express how truly grateful and indebted I am to my parents and sister – Cary, Kim, and Jenelle. I would not be in this position today without their unerring love and support. iii Table of Contents Dedication ii Acknowledgements iii List of Figures v List of Tables vi Abstract vii Chapter 1. -
Inactivation of the AMPK–GATA3–ECHS1 Pathway Induces Fatty Acid Synthesis That Promotes Clear Cell Renal Cell Carcinoma Grow
Published OnlineFirst November 5, 2019; DOI: 10.1158/0008-5472.CAN-19-1023 CANCER RESEARCH | TRANSLATIONAL SCIENCE Inactivation of the AMPK–GATA3–ECHS1 Pathway Induces Fatty Acid Synthesis That Promotes Clear Cell Renal Cell Carcinoma Growth A C Yuan-Yuan Qu1,2,3, Rui Zhao1, Hai-Liang Zhang1,3, Qian Zhou1, Fu-Jiang Xu1,3, Xuan Zhang2, Wen-Hao Xu1,3, Ning Shao1,3, Shu-Xian Zhou1,2, Bo Dai1,3, Yao Zhu1,3, Guo-Hai Shi1,3, Yi-Jun Shen1,3, Yi-Ping Zhu1,3, Cheng-Tao Han1,3, Kun Chang1,3, Yan Lin1,2,4, Wei-Dong Zang5, Wei Xu1,2,4, Ding-Wei Ye1,3, Shi-Min Zhao1,2,4, and Jian-Yuan Zhao1,2,4 ABSTRACT ◥ The tumorigenic role and underlying mechanisms of lipid accu- expression of GATA3, a transcriptional activator of ECHS1. BCAA mulation, commonly observed in many cancers, remain insuffi- accumulation induced activation of mTORC1 and de novo FA ciently understood. In this study, we identified an AMP-activated synthesis, and promoted cell proliferation. Furthermore, GATA3 protein kinase (AMPK)–GATA-binding protein 3 (GATA3)– expression phenocopied ECHS1 in predicting ccRCC progression enoyl-CoA hydratase short-chain 1 (ECHS1) pathway that induces and patient survival. The AMPK–GATA3–ECHS1 pathway may lipid accumulation and promotes cell proliferation in clear cell renal offer new therapeutic approaches and prognostic assessment for cell carcinoma (ccRCC). Decreased expression of ECHS1, which is ccRCC in the clinic. responsible for inactivation of fatty acid (FA) oxidation and acti- vation of de novo FA synthesis, positively associated with ccRCC Significance: These findings uncover molecular mechanisms progression and predicted poor patient survival. -
Downloaded from the App Store and Nucleobase, Nucleotide and Nucleic Acid Metabolism 7 Google Play
Hoytema van Konijnenburg et al. Orphanet J Rare Dis (2021) 16:170 https://doi.org/10.1186/s13023-021-01727-2 REVIEW Open Access Treatable inherited metabolic disorders causing intellectual disability: 2021 review and digital app Eva M. M. Hoytema van Konijnenburg1†, Saskia B. Wortmann2,3,4†, Marina J. Koelewijn2, Laura A. Tseng1,4, Roderick Houben6, Sylvia Stöckler‑Ipsiroglu5, Carlos R. Ferreira7 and Clara D. M. van Karnebeek1,2,4,8* Abstract Background: The Treatable ID App was created in 2012 as digital tool to improve early recognition and intervention for treatable inherited metabolic disorders (IMDs) presenting with global developmental delay and intellectual disabil‑ ity (collectively ‘treatable IDs’). Our aim is to update the 2012 review on treatable IDs and App to capture the advances made in the identifcation of new IMDs along with increased pathophysiological insights catalyzing therapeutic development and implementation. Methods: Two independent reviewers queried PubMed, OMIM and Orphanet databases to reassess all previously included disorders and therapies and to identify all reports on Treatable IDs published between 2012 and 2021. These were included if listed in the International Classifcation of IMDs (ICIMD) and presenting with ID as a major feature, and if published evidence for a therapeutic intervention improving ID primary and/or secondary outcomes is avail‑ able. Data on clinical symptoms, diagnostic testing, treatment strategies, efects on outcomes, and evidence levels were extracted and evaluated by the reviewers and external experts. The generated knowledge was translated into a diagnostic algorithm and updated version of the App with novel features. Results: Our review identifed 116 treatable IDs (139 genes), of which 44 newly identifed, belonging to 17 ICIMD categories. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
Two Novel ECHS1 Variants, Affecting Splicing and Reducing Enzyme
Wu et al. BMC Neurology (2020) 20:165 https://doi.org/10.1186/s12883-020-01735-y CASE REPORT Open Access Two novel ECHS1 variants, affecting splicing and reducing enzyme activity, is associated with mitochondrial encephalopathy in infant: a case report Miaojuan Wu1†, Wenqi Gao2†, Zhifang Deng3†, Zhisheng Liu4, Jiehui Ma4, Han Xiao2,YuXu5 and Dan Sun4* Abstract Background: Short-chain enoyl-CoA hydratase (ECHS1) is a multifunctional mitochondrial matrix enzyme involved in the second step of mitochondrial fatty acid β-oxidation. Mitochondrial diseases resulting from ECHS1 mutations are often characterised by encephalopathy, deafness, epilepsy, optic atrophy, cardiomyopathy, dystonia, and lactic acidosis. In this study, we report two novel heterogeneous variants, c.414 + 5G > A (in intron 3) and c.310C > G (in CDS), of ECHS1 in an infant with mitochondrial encephalopathy. Case presentation: The two novel variants, c.414 + 5G > A (Chr10:135183403) in intron 3 and c.310C > G (Chr10: 135183512) in CDS, were identified by next generation sequencing (NGS). A minigene assay was used to analyse the function of the c.414 + 5G > A variant. ECHS1 enzyme activity was measured by spectrophotometry in the patient-derived myoblasts. The 2-year old patient presented with mitochondrial encephalopathy since birth. Clinical features were encephalopathy, epilepsy, and hindered psychomotor and language development. Serum lactate and blood ammonia levels were elevated, and brain magnetic resonance imaging showed abnormal signals in the bilateral frontal, parietal, and occipital cortices and brainstem and basal ganglia. We found two novel heterogeneous variants in ECHS1 in this patient. Minigene assay revealed the c.414 + 5G > A variant as the cause of intronic cryptic splice site activation and 39 bp deletion in mature mRNA. -
Identification and Functional Characterization of Transcriptional Activators in Human Cells
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454360; this version posted July 30, 2021. 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. Identification and functional characterization of transcriptional activators in human cells Nader Alerasool1,2, Zhen-Yuan Lin3, Anne-Claude Gingras1,3*, and Mikko Taipale1,2* 1) Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada 2) Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada 3) Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health System, Toronto, ON M5G 1X5, Canada Correspondence: [email protected] Lead Contact: Mikko Taipale 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454360; this version posted July 30, 2021. 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. SUMMARY Transcription is orchestrated by thousands of transcription factors and chromatin-associated proteins, but how these are causally connected to transcriptional activation or repression is poorly understood. Here, we conduct an unbiased proteome-scale screen to systematically uncover human proteins that activate transcription in a natural chromatin context. We also identify potent transactivation domains among the hits. By combining interaction proteomics and chemical inhibitors, we delineate the preference of both known and novel transcriptional activators for specific co-activators, highlighting how even closely related TFs can function via distinct co- factors. -
Roles of Krüppel Like Factors Klf1, Klf2, and Klf4 in Embryonic Beta-Globin Gene Expression
Virginia Commonwealth University VCU Scholars Compass Theses and Dissertations Graduate School 2009 ROLES OF KRÜPPEL LIKE FACTORS KLF1, KLF2, AND KLF4 IN EMBRYONIC BETA-GLOBIN GENE EXPRESSION Yousef Alhashem Virginia Commonwealth University Follow this and additional works at: https://scholarscompass.vcu.edu/etd Part of the Medical Genetics Commons © The Author Downloaded from https://scholarscompass.vcu.edu/etd/1880 This Thesis is brought to you for free and open access by the Graduate School at VCU Scholars Compass. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of VCU Scholars Compass. For more information, please contact [email protected]. Virginia Commonwealth University School of Medicine This is to certify that the thesis prepared by Yousef N. Alhashem entitled “Roles Of Krüppel Like Factors KLF1, KLF2, And KLF4 In Embryonic Beta-Globin Gene Expression” has been approved by the student advisory committee as a satisfactory for the completion of the thesis reqirement for the degree of Master of Science. _____________________________________________ Joyce A. Lloyd, Ph.D., Director of Thesis, School of Medicine _____________________________________________ Rita Shiang, Ph.D., School of Medicine _____________________________________________ David C. Williams Jr., Ph.D., School of Medicine _____________________________________________ Paul B. Fisher, Ph.D., Chair, Department of Human and Molecular Genetics _____________________________________________ Jerome F. Strauss, III, M.D., Ph.D., Dean, School of Medicine _____________________________________________ F. Douglas Boudinot, Ph.D., Dean, Graduate School _____________________________________________ Date © Yousef Nassir Alhashem 2009 ROLES OF KRÜPPEL LIKE FACTORS KLF1, KLF2, AND KLF4 IN EMBRYONIC BETA-GLOBIN GENE EXPRESSION A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University By Yousef Nassir Alhashem, B.Sc. -
Nuclear Factor of Activated T3 Is a Negative Regulator of Ras-JNK1/2-AP-1–Induced Cell Transformation
Research Article Nuclear Factor of Activated T3 Is a Negative Regulator of Ras-JNK1/2-AP-1–Induced Cell Transformation Ke Yao,1 Yong-Yeon Cho,1 H. Robert Bergen III,2 Benjamin J. Madden,2 Bu Young Choi,1 Wei-Ya Ma,1 Ann M. Bode,1 and Zigang Dong1 1Hormel Institute, University of Minnesota, Austin, Minnesota and 2Mayo Proteomics Research Center, Mayo Clinic College of Medicine, Rochester, Minnesota Abstract and the activation signal is transmitted to downstream substrate(s) such as c-Jun (11). JNK1 and JNK2 are well known for the activation The c-jun-NH2-kinases (JNK) play a critical role in tumor 63 73 promoter–induced cell transformation and apoptosis. Here, and phosphorylation of c-Jun at Ser and Ser . However, other we showed that the nuclear factor of activated T3 (NFAT3) is downstream target proteins include Elk-1 (12), c-Myc (13), p53 (14), phosphorylated by JNK1 or JNK2 at Ser213 and Ser217, which are and NFATc2 (15), as well as several members of the apoptosis- located in the conserved SP motif. The transactivation domain related family of proteins, including Bcl-2, Bcl-XL, Bim, and Bad of NFAT3 is found between amino acids (aa) 113 and 260 and (16–18). These functions of JNKs have been primarily attributed to includes the phosphorylation targets of JNK1 and JNK2. the fact that JNKs activate different substrates based on the specific À À NFAT3 transactivation activity was suppressed in JNK1 / or stimulus or cell type. À À JNK2 / mouse embryonic fibroblast (MEF) cells compared Although the nuclear factor of activated T cell (NFAT) family of transcription factors has been primarily identified in immune cells, with wild-type MEF cells.