Mutant IDH, (R)-2-Hydroxyglutarate, and Cancer
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Boards' Fodder
boards’ fodder Cosmeceuticals Contributed by Elisabeth Hurliman, MD, PhD; Jennifer Hayes, MD; Hilary Reich MD; and Sarah Schram, MD. INGREDIENT FUNCTION MECHANISM ASSOCIATIONS/SIDE EFFECTS Vitamin A/ Antioxidant (reduces free Affects gene transcription Comedolysis epidermal thickening, dermal Derivatives (retinal, radicals, lowers concentration differentiation and growth of regeneration, pigment lightening retinol, retinoic of matrix metalloproteinases cells in the skin acid, provitamin reduces collagen degradation) Side effects: Irritation, erythema, desquamation A, asthaxanthin, Normalizes follicular Elisabeth Hurliman, lutein) epithelial differentiation and keratinization MD, PhD, is a PGY-4 dermatology resident Vitamin C (L Secondary endogenous Ascorbic acid: necessary L-ascorbic acid + alpha-tocopherol (vitamin E)= ascorbic acid, antioxidant in skin cofactor for prolylhydroxylase UVA and UVB protection at University of tetrahexyldecyl and lysyl hydroxylase Minnesota department ascorbate) Lightens pigment Zinc, resveratrol, L-ergothioneine and tyrosine add of dermatology. (affects melanogenesis) L-ascorbic acid: scavenges to vitamin C bioavailability free oxygen radicals, Protects Vitamin E from oxidation stimulates collagen synthesis Improves skin texture and hydration May interrupt melanogenesis by interacting with copper ions Vitamin E/ Primary endogenous antioxidant Prevents lipid peroxidation; Alpha tocopherol is the most physiologically Tocopherols, in skin scavenges free oxygen active isomer Jennifer Hayes, MD, Tocotrienols -
Hypoxia and Oxygen-Sensing Signaling in Gene Regulation and Cancer Progression
International Journal of Molecular Sciences Review Hypoxia and Oxygen-Sensing Signaling in Gene Regulation and Cancer Progression Guang Yang, Rachel Shi and Qing Zhang * Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; [email protected] (G.Y.); [email protected] (R.S.) * Correspondence: [email protected]; Tel.: +1-214-645-4671 Received: 6 October 2020; Accepted: 29 October 2020; Published: 31 October 2020 Abstract: Oxygen homeostasis regulation is the most fundamental cellular process for adjusting physiological oxygen variations, and its irregularity leads to various human diseases, including cancer. Hypoxia is closely associated with cancer development, and hypoxia/oxygen-sensing signaling plays critical roles in the modulation of cancer progression. The key molecules of the hypoxia/oxygen-sensing signaling include the transcriptional regulator hypoxia-inducible factor (HIF) which widely controls oxygen responsive genes, the central members of the 2-oxoglutarate (2-OG)-dependent dioxygenases, such as prolyl hydroxylase (PHD or EglN), and an E3 ubiquitin ligase component for HIF degeneration called von Hippel–Lindau (encoding protein pVHL). In this review, we summarize the current knowledge about the canonical hypoxia signaling, HIF transcription factors, and pVHL. In addition, the role of 2-OG-dependent enzymes, such as DNA/RNA-modifying enzymes, JmjC domain-containing enzymes, and prolyl hydroxylases, in gene regulation of cancer progression, is specifically reviewed. We also discuss the therapeutic advancement of targeting hypoxia and oxygen sensing pathways in cancer. Keywords: hypoxia; PHDs; TETs; JmjCs; HIFs 1. Introduction Molecular oxygen serves as a co-factor in many biochemical processes and is fundamental for aerobic organisms to maintain intracellular ATP levels [1,2]. -
Hypoxia-Driven Effects in Cancer: Characterization, Mechanisms, and Therapeutic Implications
cells Review Hypoxia-Driven Effects in Cancer: Characterization, Mechanisms, and Therapeutic Implications Rachel Shi, Chengheng Liao and Qing Zhang * Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; [email protected] (R.S.); [email protected] (C.L.) * Correspondence: [email protected]; Tel.: +1-214-645-4671 Abstract: Hypoxia, a common feature of solid tumors, greatly hinders the efficacy of conventional cancer treatments such as chemo-, radio-, and immunotherapy. The depletion of oxygen in proliferat- ing and advanced tumors causes an array of genetic, transcriptional, and metabolic adaptations that promote survival, metastasis, and a clinically malignant phenotype. At the nexus of these intercon- nected pathways are hypoxia-inducible factors (HIFs) which orchestrate transcriptional responses under hypoxia. The following review summarizes current literature regarding effects of hypoxia on DNA repair, metastasis, epithelial-to-mesenchymal transition, the cancer stem cell phenotype, and therapy resistance. We also discuss mechanisms and pathways, such as HIF signaling, mitochon- drial dynamics, exosomes, and the unfolded protein response, that contribute to hypoxia-induced phenotypic changes. Finally, novel therapeutics that target the hypoxic tumor microenvironment or interfere with hypoxia-induced pathways are reviewed. Keywords: hypoxia; metastasis; hypoxia-inducible factors; chemoresistance Citation: Shi, R.; Liao, C.; Zhang, Q. Hypoxia-Driven Effects in Cancer: 1. Introduction Characterization, Mechanisms, and Understanding the mechanisms by which cells sense oxygen and maintain oxygen Therapeutic Implications. Cells 2021, homeostasis is of pivotal importance for science and medicine. Only in recent decades have 10, 678. https://doi.org/10.3390/ breakthrough discoveries of mechanisms for eukaryotic oxygen sensing been made. -
ASPH-Notch Axis Guided Exosomal Delivery of Prometastatic Secretome
Lin et al. Molecular Cancer (2019) 18:156 https://doi.org/10.1186/s12943-019-1077-0 RESEARCH Open Access ASPH-notch Axis guided Exosomal delivery of Prometastatic Secretome renders breast Cancer multi-organ metastasis Qiushi Lin1†, Xuesong Chen2†, Fanzheng Meng3†, Kosuke Ogawa4†, Min Li5, Ruipeng Song3, Shugeng Zhang3, Ziran Zhang3, Xianglu Kong3, Qinggang Xu1,6, Fuliang He1,7, Xuewei Bai8, Bei Sun8, Mien-Chie Hung9,10, Lianxin Liu3,11*, Jack Wands4* and Xiaoqun Dong12,1* Abstract Background: Aspartate β-hydroxylase (ASPH) is silent in normal adult tissues only to re-emerge during oncogenesis where its function is required for generation and maintenance of malignant phenotypes. Exosomes enable prooncogenic secretome delivering and trafficking for long-distance cell-to-cell communication. This study aims to explore molecular mechanisms underlying how ASPH network regulates designated exosomes to program development and progression of breast cancer. Methods: Stable cell lines overexpressing or knocking-out of ASPH were established using lentivirus transfection or CRISPR-CAS9 systems. Western blot, MTT, immunofluorescence, luciferase reporter, co-immunoprecipitation, 2D/3-D invasion, tube formation, mammosphere formation, immunohistochemistry and newly developed in vitro metastasis were applied. Results: Through physical interactions with Notch receptors, ligands (JAGs) and regulators (ADAM10/17), ASPH activates Notch cascade to provide raw materials (especially MMPs/ADAMs) for synthesis/release of pro-metastatic exosomes. Exosomes orchestrate EMT, 2-D/3-D invasion, stemness, angiogenesis, and premetastatic niche formation. Small molecule inhibitors (SMIs) of ASPH’s β-hydroxylase specifically/efficiently abrogated in vitro metastasis, which mimics basement membrane invasion at primary site, intravasation/extravasation (transendothelial migration), and colonization/outgrowth at distant sites. -
Enzymatic Encoding Methods for Efficient Synthesis Of
(19) TZZ__T (11) EP 1 957 644 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: C12N 15/10 (2006.01) C12Q 1/68 (2006.01) 01.12.2010 Bulletin 2010/48 C40B 40/06 (2006.01) C40B 50/06 (2006.01) (21) Application number: 06818144.5 (86) International application number: PCT/DK2006/000685 (22) Date of filing: 01.12.2006 (87) International publication number: WO 2007/062664 (07.06.2007 Gazette 2007/23) (54) ENZYMATIC ENCODING METHODS FOR EFFICIENT SYNTHESIS OF LARGE LIBRARIES ENZYMVERMITTELNDE KODIERUNGSMETHODEN FÜR EINE EFFIZIENTE SYNTHESE VON GROSSEN BIBLIOTHEKEN PROCEDES DE CODAGE ENZYMATIQUE DESTINES A LA SYNTHESE EFFICACE DE BIBLIOTHEQUES IMPORTANTES (84) Designated Contracting States: • GOLDBECH, Anne AT BE BG CH CY CZ DE DK EE ES FI FR GB GR DK-2200 Copenhagen N (DK) HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI • DE LEON, Daen SK TR DK-2300 Copenhagen S (DK) Designated Extension States: • KALDOR, Ditte Kievsmose AL BA HR MK RS DK-2880 Bagsvaerd (DK) • SLØK, Frank Abilgaard (30) Priority: 01.12.2005 DK 200501704 DK-3450 Allerød (DK) 02.12.2005 US 741490 P • HUSEMOEN, Birgitte Nystrup DK-2500 Valby (DK) (43) Date of publication of application: • DOLBERG, Johannes 20.08.2008 Bulletin 2008/34 DK-1674 Copenhagen V (DK) • JENSEN, Kim Birkebæk (73) Proprietor: Nuevolution A/S DK-2610 Rødovre (DK) 2100 Copenhagen 0 (DK) • PETERSEN, Lene DK-2100 Copenhagen Ø (DK) (72) Inventors: • NØRREGAARD-MADSEN, Mads • FRANCH, Thomas DK-3460 Birkerød (DK) DK-3070 Snekkersten (DK) • GODSKESEN, -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Interplay Between Epigenetics and Metabolism in Oncogenesis: Mechanisms and Therapeutic Approaches
OPEN Oncogene (2017) 36, 3359–3374 www.nature.com/onc REVIEW Interplay between epigenetics and metabolism in oncogenesis: mechanisms and therapeutic approaches CC Wong1, Y Qian2,3 and J Yu1 Epigenetic and metabolic alterations in cancer cells are highly intertwined. Oncogene-driven metabolic rewiring modifies the epigenetic landscape via modulating the activities of DNA and histone modification enzymes at the metabolite level. Conversely, epigenetic mechanisms regulate the expression of metabolic genes, thereby altering the metabolome. Epigenetic-metabolomic interplay has a critical role in tumourigenesis by coordinately sustaining cell proliferation, metastasis and pluripotency. Understanding the link between epigenetics and metabolism could unravel novel molecular targets, whose intervention may lead to improvements in cancer treatment. In this review, we summarized the recent discoveries linking epigenetics and metabolism and their underlying roles in tumorigenesis; and highlighted the promising molecular targets, with an update on the development of small molecule or biologic inhibitors against these abnormalities in cancer. Oncogene (2017) 36, 3359–3374; doi:10.1038/onc.2016.485; published online 16 January 2017 INTRODUCTION metabolic genes have also been identified as driver genes It has been appreciated since the early days of cancer research mutated in some cancers, such as isocitrate dehydrogenase 1 16 17 that the metabolic profiles of tumor cells differ significantly from and 2 (IDH1/2) in gliomas and acute myeloid leukemia (AML), 18 normal cells. Cancer cells have high metabolic demands and they succinate dehydrogenase (SDH) in paragangliomas and fuma- utilize nutrients with an altered metabolic program to support rate hydratase (FH) in hereditary leiomyomatosis and renal cell 19 their high proliferative rates and adapt to the hostile tumor cancer (HLRCC). -
The Potential of Histone Demethylases As Therapeutic Targets
Pharmaceuticals 2012, 5, 963-990; doi:10.3390/ph5090963 OPEN ACCESS pharmaceuticals ISSN 1424-8247 www.mdpi.com/journal/pharmaceuticals Review Epigenetic Control and Cancer: The Potential of Histone Demethylases as Therapeutic Targets Fernando Lizcano * and Jeison Garcia Center of Biomedical Research La Sabana University-CIBUS, School of Medicine, Universidad de La Sabana, Campus Del Puente del Común, km 7 Autopista Norte de Bogota, Chía 250001, Colombia; E-Mail: [email protected] (J.G.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +571-861-5555 (ext. 23328); Fax: +571-861-5555 (ext. 10111). Received: 26 June 2012; in revised form: 21 July 2012 / Accepted: 17 August 2012 / Published: 12 September 2012 Abstract: The development of cancer involves an immense number of factors at the molecular level. These factors are associated principally with alterations in the epigenetic mechanisms that regulate gene expression profiles. Studying the effects of chromatin structure alterations, which are caused by the addition/removal of functional groups to specific histone residues, are of great interest as a promising way to identify markers for cancer diagnosis, classify the disease and determine its prognosis, and these markers could be potential targets for the treatment of this disease in its different forms. This manuscript presents the current point of view regarding members of the recently described family of proteins that exhibit histone demethylase activity; histone demethylases are genetic regulators that play a fundamental role in both the activation and repression of genes and whose expression has been observed to increase in many types of cancer. -
Catalysis by the Jmjc Histone Demethylase KDM4A Integrates Substrate Dynamics, Correlated Motions Cite This: Chem
Chemical Science View Article Online EDGE ARTICLE View Journal | View Issue Catalysis by the JmjC histone demethylase KDM4A integrates substrate dynamics, correlated motions Cite this: Chem. Sci., 2020, 11, 9950 † All publication charges for this article and molecular orbital control have been paid for by the Royal Society a a b of Chemistry Rajeev Ramanan, Shobhit S. Chaturvedi, Nicolai Lehnert, Christopher J. Schofield, c Tatyana G. Karabencheva-Christova *a and Christo Z. Christov *a 3 The N -methyl lysine status of histones is important in the regulation of eukaryotic transcription. The Fe(II) and 2-oxoglutarate (2OG) -dependent JmjC domain enzymes are the largest family of histone N3-methyl lysine demethylases (KDMs). The human KDM4 subfamily of JmjC KDMs is linked with multiple cancers and some of its members are medicinal chemistry targets. We describe the use of combined molecular dynamics (MD) and Quantum Mechanical/Molecular Mechanical (QM/MM) methods to study the mechanism of KDM4A, which catalyzes demethylation of both tri- and di-methylated forms of histone Creative Commons Attribution-NonCommercial 3.0 Unported Licence. H3 at K9 and K36. The results show that the oxygen activation at the active site of KDM4A is optimized towards the generation of the reactive Fe(IV)-oxo intermediate. Factors including the substrate binding mode, correlated motions of the protein and histone substrates, and molecular orbital control synergistically contribute to the reactivity of the Fe(IV)-oxo intermediate. In silico substitutions were performed to investigate the roles of residues (Lys241, Tyr177, and Asn290) in substrate orientation. The Lys241Ala substitution abolishes activity due to altered substrate orientation consistent with reported experimental studies. -
Gene PMID WBS Locus ABR 26603386 AASDH 26603386
Supplementary material J Med Genet Gene PMID WBS Locus ABR 26603386 AASDH 26603386 ABCA1 21304579 ABCA13 26603386 ABCA3 25501393 ABCA7 25501393 ABCC1 25501393 ABCC3 25501393 ABCG1 25501393 ABHD10 21304579 ABHD11 25501393 yes ABHD2 25501393 ABHD5 21304579 ABLIM1 21304579;26603386 ACOT12 25501393 ACSF2,CHAD 26603386 ACSL4 21304579 ACSM3 26603386 ACTA2 25501393 ACTN1 26603386 ACTN3 26603386;25501393;25501393 ACTN4 21304579 ACTR1B 21304579 ACVR2A 21304579 ACY3 19897463 ACYP1 21304579 ADA 25501393 ADAM12 21304579 ADAM19 25501393 ADAM32 26603386 ADAMTS1 25501393 ADAMTS10 25501393 ADAMTS12 26603386 ADAMTS17 26603386 ADAMTS6 21304579 ADAMTS7 25501393 ADAMTSL1 21304579 ADAMTSL4 25501393 ADAMTSL5 25501393 ADCY3 25501393 ADK 21304579 ADRBK2 25501393 AEBP1 25501393 AES 25501393 AFAP1,LOC84740 26603386 AFAP1L2 26603386 AFG3L1 21304579 AGAP1 26603386 AGAP9 21304579 Codina-Sola M, et al. J Med Genet 2019; 56:801–808. doi: 10.1136/jmedgenet-2019-106080 Supplementary material J Med Genet AGBL5 21304579 AGPAT3 19897463;25501393 AGRN 25501393 AGXT2L2 25501393 AHCY 25501393 AHDC1 26603386 AHNAK 26603386 AHRR 26603386 AIDA 25501393 AIFM2 21304579 AIG1 21304579 AIP 21304579 AK5 21304579 AKAP1 25501393 AKAP6 21304579 AKNA 21304579 AKR1E2 26603386 AKR7A2 21304579 AKR7A3 26603386 AKR7L 26603386 AKT3 21304579 ALDH18A1 25501393;25501393 ALDH1A3 21304579 ALDH1B1 21304579 ALDH6A1 21304579 ALDOC 21304579 ALG10B 26603386 ALG13 21304579 ALKBH7 25501393 ALPK2 21304579 AMPH 21304579 ANG 21304579 ANGPTL2,RALGPS1 26603386 ANGPTL6 26603386 ANK2 21304579 ANKMY1 26603386 ANKMY2 -
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. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen,