Correlation of Tumor Growth Suppression and Methionine Aminopetidase-2 Activity Blockade Using an Orally Active Inhibitor
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Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10. -
The Global Architecture Shaping the Heterogeneity and Tissue-Dependency of the MHC Class I Immunopeptidome Is Evolutionarily Conserved
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.28.317750; this version posted September 29, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The Global Architecture Shaping the Heterogeneity and Tissue-Dependency of the MHC Class I Immunopeptidome is Evolutionarily Conserved Authors Peter Kubiniok†1, Ana Marcu†2,3, Leon Bichmann†2,4, Leon Kuchenbecker4, Heiko Schuster1,5, David Hamelin1, Jérome Despault1, Kevin Kovalchik1, Laura Wessling1, Oliver Kohlbacher4,7,8,9,10 Stefan Stevanovic2,3,6, Hans-Georg Rammensee2,3,6, Marian C. Neidert11, Isabelle Sirois1, Etienne Caron1,12* Affiliations *Corresponding and Leading author: Etienne Caron ([email protected]) †Equal contribution to this work 1CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada 2Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Baden-Württemberg, 72076, Germany. 3Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Baden-Württemberg, 72076, Germany. 4Applied Bioinformatics, Dept. of Computer Science, University of Tübingen, Tübingen, Baden- Württemberg, 72074, Germany. 5Immatics Biotechnologies GmbH, Tübingen, 72076, Baden-Württemberg, Germany. 6DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Baden- Württemberg, 72076, Germany. 7Institute for Bioinformatics and Medical Informatics, -
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. -
Elucidation of the Function of Type 1 Human Methionine Aminopeptidase During Cell Cycle Progression
Elucidation of the function of type 1 human methionine aminopeptidase during cell cycle progression Xiaoyi Hu*, Anthony Addlagatta†, Jun Lu*, Brian W. Matthews†‡, and Jun O. Liu*‡§ *Department of Pharmacology and Molecular Sciences and §Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, 725 North Wolfe Street, Baltimore, MD 21205; and †Institute of Molecular Biology, Howard Hughes Medical Institute and Department of Physics, University of Oregon, Eugene, OR 97403-1229 Contributed by Brian W. Matthews, October 4, 2006 (sent for review September 7, 2006) Processing of the N-terminal initiator methionine is an essential notion that HsMetAP2 plays an important role in endothelial cell cellular process conserved from prokaryotes to eukaryotes. The proliferation and is likely to mediate inhibition of endothelial cells enzymes that remove N-terminal methionine are known as methi- by fumagillin and related analogs (5, 6, 9). onine aminopeptidases (MetAPs). Human MetAP2 has been shown In contrast to HsMetAP2, little is known about the physiological to be required for the proliferation of endothelial cells and angio- function of human MetAP1, although genetic studies in yeast have genesis. The physiological function of MetAP1, however, has suggested a more dominant role for ScMetAP1, as evidenced by the remained elusive. In this report we demonstrate that a family of more severe growth defect observed in ScMetAP1 knockout strain inhibitors with a core structure of pyridine-2-carboxylic acid pre- than that in ScMetAP2 knockout strain (10). There has also been viously developed for the bacterial and yeast MetAP1 is also circumstantial evidence implicating a role of HsMetAP1 in tumor specific for human MetAP1 (HsMetAP1), as confirmed by both cell proliferation. -
Secreted Metalloproteinase ADAMTS-3 Inactivates Reelin
The Journal of Neuroscience, March 22, 2017 • 37(12):3181–3191 • 3181 Cellular/Molecular Secreted Metalloproteinase ADAMTS-3 Inactivates Reelin Himari Ogino,1* Arisa Hisanaga,1* XTakao Kohno,1 Yuta Kondo,1 Kyoko Okumura,1 Takana Kamei,1 Tempei Sato,2 Hiroshi Asahara,2 Hitomi Tsuiji,1 Masaki Fukata,3 and Mitsuharu Hattori1 1Department of Biomedical Science, Graduate School of Pharmaceutical Sciences, Nagoya City University, Nagoya, Aichi 467-8603, Japan, 2Department of Systems BioMedicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan, and 3Division of Membrane Physiology, Department of Molecular and Cellular Physiology, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan The secreted glycoprotein Reelin regulates embryonic brain development and adult brain functions. It has been suggested that reduced Reelin activity contributes to the pathogenesis of several neuropsychiatric and neurodegenerative disorders, such as schizophrenia and Alzheimer’s disease; however, noninvasive methods that can upregulate Reelin activity in vivo have yet to be developed. We previously found that the proteolytic cleavage of Reelin within Reelin repeat 3 (N-t site) abolishes Reelin activity in vitro, but it remains controversial as to whether this effect occurs in vivo. Here we partially purified the enzyme that mediates the N-t cleavage of Reelin from the culture supernatant of cerebral cortical neurons. This enzyme was identified as a disintegrin and metalloproteinase with thrombospondin motifs-3 (ADAMTS-3). Recombinant ADAMTS-3 cleaved Reelin at the N-t site. ADAMTS-3 was expressed in excitatory neurons in the cerebral cortex and hippocampus. -
What Is a Protease?
What is a Protease? Proteases (or peptidases) are enzymes secreted by animals for a number of physiological processes, among which is the Dr. Rolando A. Valientes digestion of feed protein. Regional Category Manager- Animals normally secrete suffi - Eubiotics / RONOZYME ProAct cient amount of enzymes to ade - Asia Pacific, DSM quately digest enough of their [email protected] feed so that they grow and remain healthy under normal conditions, such as those found in the wild. Any increased needs for protein (amino acids) for more rapid growth due to improved genetics has been traditionally met by adding more protein (or synthetic amino acids) into the feed. This was facilitated by a relative low cost for most protein-rich ingredi - Dr. Katrine Pontoppidan ents, such as soybean meal, and Research Scientist synthetic amino acids, such as Novozymes L-lysine HCL. Thus, an exogenous [email protected] protease (as a feed supplement) was not considered essential; that is, until recently. size, the rate of passage of feed Today we face not only the prob - through the digestive tract, the lem of feeding animals of continu - age of the animal, and its physio - ously increasing genetic potential logical/health condition. All of (this requires diets increasingly these variables are rather difficult richer in amino acids), but also an to control, but supplementing unprecedented rise in ingredient animal feeds with extra enzymes prices, leaving very small (if any) is rather easy if it can be done in a margin for profitability. Thus, it profitable way. has been deemed essential to seek ways to improve the nutritive Up until recently, any protease value of existing ingredients activity in commercial enzyme reducing feed cost. -
The Involvement of Cysteine Proteases and Protease Inhibitor Genes in the Regulation of Programmed Cell Death in Plants
The Plant Cell, Vol. 11, 431–443, March 1999, www.plantcell.org © 1999 American Society of Plant Physiologists The Involvement of Cysteine Proteases and Protease Inhibitor Genes in the Regulation of Programmed Cell Death in Plants Mazal Solomon,a,1 Beatrice Belenghi,a,1 Massimo Delledonne,b Ester Menachem,a and Alex Levine a,2 a Department of Plant Sciences, Hebrew University of Jerusalem, Givat-Ram, Jerusalem 91904, Israel b Istituto di Genetica, Università Cattolica S.C., Piacenza, Italy Programmed cell death (PCD) is a process by which cells in many organisms die. The basic morphological and bio- chemical features of PCD are conserved between the animal and plant kingdoms. Cysteine proteases have emerged as key enzymes in the regulation of animal PCD. Here, we show that in soybean cells, PCD-activating oxidative stress in- duced a set of cysteine proteases. The activation of one or more of the cysteine proteases was instrumental in the PCD of soybean cells. Inhibition of the cysteine proteases by ectopic expression of cystatin, an endogenous cysteine pro- tease inhibitor gene, inhibited induced cysteine protease activity and blocked PCD triggered either by an avirulent strain of Pseudomonas syringae pv glycinea or directly by oxidative stress. Similar expression of serine protease inhib- itors was ineffective. A glutathione S-transferase–cystatin fusion protein was used to purify and characterize the in- duced proteases. Taken together, our results suggest that plant PCD can be regulated by activity poised between the cysteine proteases and the cysteine protease inhibitors. We also propose a new role for proteinase inhibitor genes as modulators of PCD in plants. -
Methionine Aminopeptidase Emerging Role in Angiogenesis
Chapter 2 Methionine Aminopeptidase Emerging role in angiogenesis Joseph A. Vetro1, Benjamin Dummitt2, and Yie-Hwa Chang2 1Department of Pharmaceutical Chemistry, University of Kansas, 2095 Constant Ave., Lawrence, KS 66047, USA. 2Edward A. Doisy Department of Biochemistry and Molecular Biology, St. Louis University Health Sciences Center, 1402 S. Grand Blvd., St. Louis, MO 63104, USA. Abstract: Angiogenesis, the formation of new blood vessels from existing vasculature, is a key factor in a number of vascular-related pathologies such as the metastasis and growth of solid tumors. Thus, the inhibition of angiogenesis has great potential as a therapeutic modality in the treatment of cancer and other vascular-related diseases. Recent evidence suggests that the inhibition of mammalian methionine aminopeptidase type 2 (MetAP2) catalytic activity in vascular endothelial cells plays an essential role in the pharmacological activity of the most potent small molecule angiogenesis inhibitors discovered to date, the fumagillin class. Methionine aminopeptidase (MetAP, EC 3.4.11.18) catalyzes the non-processive, co-translational hydrolysis of initiator N-terminal methionine when the second residue of the nascent polypeptide is small and uncharged. Initiator Met removal is a ubiquitous and essential modification. Indirect evidence suggests that removal of initiator Met by MetAP is important for the normal function of many proteins involved in DNA repair, signal transduction, cell transformation, secretory vesicle trafficking, and viral capsid assembly and infection. Currently, much effort is focused on understanding the essential nature of methionine aminopeptidase activity and elucidating the role of methionine aminopeptidase type 2 catalytic activity in angiogenesis. In this chapter, we give an overview of the MetAP proteins, outline the importance of initiator Met hydrolysis, and discuss the possible mechanism(s) through which MetAP2 inhibition by the fumagillin class of angiogenesis inhibitors leads to cytostatic growth arrest in vascular endothelial cells. -
Arxiv:2007.15681V2 [Cs.CL] 9 Nov 2020 Method by a Large Margin
COVID-19 therapy target discovery with context-aware literature mining Matej Martinc1;2, Blaˇz Skrljˇ 1;2, Sergej Pirkmajer3, Nada Lavraˇc1;2;4, Bojan Cestnik5;1, Martin Marzidovˇsek1;2, and Senja Pollak2 1 JoˇzefStefan International Postgraduate School, Ljubljana, Slovenia 2 JoˇzefStefan Institute, Ljubljana, Slovenia 3 Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia 4 University of Nova Gorica, Vipava, Slovenia 5 Temida d.o.o, Ljubljana, Slovenia The final reviewed publication was published in Proceedings of the 23rd International Conference on Discovery Science (DS 2020), Thessaloniki, Greece, October 19{21, 2020 and is available online at https://doi.org/ 10.1007/978-3-030-61527-7 8. Abstract. The abundance of literature related to the widespread COVID- 19 pandemic is beyond manual inspection of a single expert. Develop- ment of systems, capable of automatically processing tens of thousands of scientific publications with the aim to enrich existing empirical evidence with literature-based associations is challenging and relevant. We propose a system for contextualization of empirical expression data by approxi- mating relations between entities, for which representations were learned from one of the largest COVID-19-related literature corpora. In order to exploit a larger scientific context by transfer learning, we propose a novel embedding generation technique that leverages SciBERT language model pretrained on a large multi-domain corpus of scientific publications and fine-tuned for domain adaptation on the CORD-19 dataset. The con- ducted manual evaluation by the medical expert and the quantitative evaluation based on therapy targets identified in the related work suggest that the proposed method can be successfully employed for COVID-19 therapy target discovery and that it outperforms the baseline FastText arXiv:2007.15681v2 [cs.CL] 9 Nov 2020 method by a large margin. -
Supplementary Table 9. Functional Annotation Clustering Results for the Union (GS3) of the Top Genes from the SNP-Level and Gene-Based Analyses (See ST4)
Supplementary Table 9. Functional Annotation Clustering Results for the union (GS3) of the top genes from the SNP-level and Gene-based analyses (see ST4) Column Header Key Annotation Cluster Name of cluster, sorted by descending Enrichment score Enrichment Score EASE enrichment score for functional annotation cluster Category Pathway Database Term Pathway name/Identifier Count Number of genes in the submitted list in the specified term % Percentage of identified genes in the submitted list associated with the specified term PValue Significance level associated with the EASE enrichment score for the term Genes List of genes present in the term List Total Number of genes from the submitted list present in the category Pop Hits Number of genes involved in the specified term (category-specific) Pop Total Number of genes in the human genome background (category-specific) Fold Enrichment Ratio of the proportion of count to list total and population hits to population total Bonferroni Bonferroni adjustment of p-value Benjamini Benjamini adjustment of p-value FDR False Discovery Rate of p-value (percent form) Annotation Cluster 1 Enrichment Score: 3.8978262119731335 Category Term Count % PValue Genes List Total Pop Hits Pop Total Fold Enrichment Bonferroni Benjamini FDR GOTERM_CC_DIRECT GO:0005886~plasma membrane 383 24.33290978 5.74E-05 SLC9A9, XRCC5, HRAS, CHMP3, ATP1B2, EFNA1, OSMR, SLC9A3, EFNA3, UTRN, SYT6, ZNRF2, APP, AT1425 4121 18224 1.18857065 0.038655922 0.038655922 0.086284383 UP_KEYWORDS Membrane 626 39.77128335 1.53E-04 SLC9A9, HRAS, -
Human Methionine Aminopeptidase 2/ METAP2 Antibody Antigen Affinity-Purified Polyclonal Sheep Igg Catalog Number: AF3795
Human Methionine Aminopeptidase 2/ METAP2 Antibody Antigen Affinity-purified Polyclonal Sheep IgG Catalog Number: AF3795 DESCRIPTION Species Reactivity Human Specificity Detects human Methionine Aminopeptidase 2/METAP2 in direct ELISAs and Western blots. In direct ELISAs, less than 1% crossreactivity with recombinant human METAP1 is observed. Source Polyclonal Sheep IgG Purification Antigen Affinitypurified Immunogen S. frugiperda insect ovarian cell line Sf 21derived recombinant human Aminopeptidase 2/METAP2 Ala2Tyr478 Accession # P50579 Formulation Lyophilized from a 0.2 μm filtered solution in PBS with Trehalose. See Certificate of Analysis for details. *Small pack size (SP) is supplied either lyophilized or as a 0.2 μm filtered solution in PBS. APPLICATIONS Please Note: Optimal dilutions should be determined by each laboratory for each application. General Protocols are available in the Technical Information section on our website. Recommended Sample Concentration Western Blot 1 µg/mL See Below Immunoprecipitation 25 µg/mL Conditioned cell culture medium spiked with Recombinant Human Methionine Aminopeptidase 2/METAP2 (Catalog # 3795ZN), see our available Western blot detection antibodies DATA Western Blot Detection of Human Methionine Aminopeptidase 2 by Western Blot. Western blot shows lysates of COLO 205 human colorectal adenocarcinoma cell line, LS180 human colorectal adenocarcinoma cell line, and HT29 human colon adenocarcinoma cell line. PVDF membrane was probed with 1 µg/mL of Sheep Anti Human Methionine Aminopeptidase 2 Antigen Affinitypurified Polyclonal Antibody (Catalog # AF3795) followed by HRP conjugated AntiSheep IgG Secondary Antibody (Catalog # HAF016). A specific band was detected for Methionine Aminopeptidase 2 at approximately 70 kDa (as indicated). This experiment was conducted under reducing conditions and using Immunoblot Buffer Group 8. -
Common Genetic Aberrations Associated with Metabolic Interferences in Human Type-2 Diabetes and Acute Myeloid Leukemia: a Bioinformatics Approach
International Journal of Molecular Sciences Article Common Genetic Aberrations Associated with Metabolic Interferences in Human Type-2 Diabetes and Acute Myeloid Leukemia: A Bioinformatics Approach Theodora-Christina Kyriakou 1, Panagiotis Papageorgis 1,2 and Maria-Ioanna Christodoulou 3,* 1 Tumor Microenvironment, Metastasis and Experimental Therapeutics Laboratory, Basic and Translational Cancer Research Center, Department of Life Sciences, European University Cyprus, Nicosia 2404, Cyprus; [email protected] (T.-C.K.); [email protected] (P.P.) 2 European University Cyprus Research Center, Nicosia 2404, Cyprus 3 Tumor Immunology and Biomarkers Laboratory, Basic and Translational Cancer Research Center, Department of Life Sciences, European University Cyprus, Nicosia 2404, Cyprus * Correspondence: [email protected] Abstract: Type-2 diabetes mellitus (T2D) is a chronic metabolic disorder, associated with an increased risk of developing solid tumors and hematological malignancies, including acute myeloid leukemia (AML). However, the genetic background underlying this predisposition remains elusive. We herein aimed at the exploration of the genetic variants, related transcriptomic changes and disturbances in metabolic pathways shared by T2D and AML, utilizing bioinformatics tools and repositories, as well as publicly available clinical datasets. Our approach revealed that rs11709077 and rs1801282, on PPARG, rs11108094 on USP44, rs6685701 on RPS6KA1 and rs7929543 on AC118942.1 comprise Citation: Kyriakou, T.-C.; common SNPs susceptible to the two diseases and, together with 64 other co-inherited proxy SNPs, Papageorgis, P.; Christodoulou, M.-I. may affect the expression patterns of metabolic genes, such as USP44, METAP2, PPARG, TIMP4 and Common Genetic Aberrations RPS6KA1, in adipose tissue, skeletal muscle, liver, pancreas and whole blood.