Two Separate Functions of NME3 Critical for Cell Survival Underlie a Neurodegenerative Disorder
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Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Dissertation Philip Böhler
Three Tales of Death: New Pathways in the Induction, Inhibition and Execution of Apoptosis Inaugural-Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf vorgelegt von Philip Böhler aus Bonn Düsseldorf, Juni 2019 aus dem Institut für Molekulare Medizin I der Heinrich-Heine-Universität Düsseldorf Gedruckt mit der Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der Heinrich-Heine-Universität Düsseldorf Berichterstatter: 1. Prof. Dr. Sebastian Wesselborg 2. Prof. Dr. Henrike Heise Tag der mündlichen Prüfung: 29. Oktober 2019 “Where the first primal cell was, there was I also. Where man is, there am I. When the last life crawls under freezing stars, there will I be.” — DEATH, in: Mort, by Terry Pratchett “Right away I found out something about biology: it was very easy to find a question that was very interesting, and that nobody knew the answer to.” — Richard Feynman, in: Surely You're Joking, Mr. Feynman! Acknowledgements (Danksagung) Acknowledgements (Danksagung) Viele Menschen haben zum Gelingen meiner Forschungsarbeit und dieser Dissertation beigetragen, und nicht alle können hier namentlich erwähnt werden. Dennoch möchte ich einige besonders hervorheben. An erster Stelle möchte ich Professor Sebastian Wesselborg danken, der diese Dissertation als Erstgutachter betreut hat und der mir die Möglichkeit gab, die dazugehörigen experimentellen Arbeiten am Institut für Molekulare Medizin durchzuführen. Er und Professor Björn Stork, dem ich für die herzliche Aufnahme in seine Arbeitsgruppe danke, legten durch die richtige Mischung aus aktiver Förderung und dem Freiraum zur Umsetzung eigener wissenschaftlicher Ideen die ideale Grundlage für die Forschungsprojekte, aus denen diese Dissertation entstand. Professorin Henrike Heise, die sich freundlicherweise zur Betreuung dieser Dissertation als Zweitgutachterin bereiterklärt hat, gilt ebenfalls mein herzlicher Dank. -
Huang Grad.Sunysb 0771E 10211
SSStttooonnnyyy BBBrrrooooookkk UUUnnniiivvveeerrrsssiiitttyyy The official electronic file of this thesis or dissertation is maintained by the University Libraries on behalf of The Graduate School at Stony Brook University. ©©© AAAllllll RRRiiiggghhhtttsss RRReeessseeerrrvvveeeddd bbbyyy AAAuuuttthhhooorrr... Development of a quantitative assay for mitochondrial fusion and characterization of a lipid signaling pathway on the mitochondrial surface A Dissertation Presented by Huiyan Huang to The Graduate School in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Molecular and Cellular Pharmacology Stony Brook University August 2010 Stony Brook University The Graduate School Huiyan Huang We, the dissertation committee for the above candidate for the Doctor of Philosophy degree, hereby recommend acceptance of this dissertation. Michael A. Frohman, M.D., Ph.D. - Dissertation Advisor Professor Department of Pharmacological Sciences Daniel F. Bogenhagen, MD - Chairperson of the Defense Professor Department of Pharmacological Sciences Robert S. Haltiwanger, Ph.D. Professor Department of Biochemistry and Structural Biology Deborah A. Brown, Ph.D. Professor Department of Biochemistry and Structural Biology This dissertation is accepted by the Graduate School. Lawrence Martin Dean of the Graduate School ii Abstract of the Dissertation Development of a quantitative assay for mitochondrial fusion and characterization of a lipid signaling pathway on the mitochondrial surface by Huiyan Huang Doctor of Philosophy in Molecular and Cellular Pharmacology Stony Brook University 2010 Mitochondria continuously undergo fusion and fission, the relative rates of which define their morphology. Mitochondrial fusion is currently assayed by fusing together cells expressing GFP or RFP in their mitochondria and then scoring the frequency of cells with yellow mitochondria (representing fused green and red mitochondria). -
In Silico Prediction of High-Resolution Hi-C Interaction Matrices
ARTICLE https://doi.org/10.1038/s41467-019-13423-8 OPEN In silico prediction of high-resolution Hi-C interaction matrices Shilu Zhang1, Deborah Chasman 1, Sara Knaack1 & Sushmita Roy1,2* The three-dimensional (3D) organization of the genome plays an important role in gene regulation bringing distal sequence elements in 3D proximity to genes hundreds of kilobases away. Hi-C is a powerful genome-wide technique to study 3D genome organization. Owing to 1234567890():,; experimental costs, high resolution Hi-C datasets are limited to a few cell lines. Computa- tional prediction of Hi-C counts can offer a scalable and inexpensive approach to examine 3D genome organization across multiple cellular contexts. Here we present HiC-Reg, an approach to predict contact counts from one-dimensional regulatory signals. HiC-Reg pre- dictions identify topologically associating domains and significant interactions that are enri- ched for CCCTC-binding factor (CTCF) bidirectional motifs and interactions identified from complementary sources. CTCF and chromatin marks, especially repressive and elongation marks, are most important for HiC-Reg’s predictive performance. Taken together, HiC-Reg provides a powerful framework to generate high-resolution profiles of contact counts that can be used to study individual locus level interactions and higher-order organizational units of the genome. 1 Wisconsin Institute for Discovery, 330 North Orchard Street, Madison, WI 53715, USA. 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53715, USA. *email: [email protected] NATURE COMMUNICATIONS | (2019) 10:5449 | https://doi.org/10.1038/s41467-019-13423-8 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-13423-8 he three-dimensional (3D) organization of the genome has Results Temerged as an important component of the gene regulation HiC-Reg for predicting contact count using Random Forests. -
Mitochondrial Rhomboid PARL Regulates Cytochrome C Release During Apoptosis Via OPA1-Dependent Cristae Remodeling
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Mitochondrial Rhomboid PARL Regulates Cytochrome c Release during Apoptosis via OPA1-Dependent Cristae Remodeling Sara Cipolat,1,7 Tomasz Rudka,2,7 Dieter Hartmann,2,7 Veronica Costa,1 Lutgarde Serneels,2 Katleen Craessaerts,2 Kristine Metzger,2 Christian Frezza,1 Wim Annaert,3 Luciano D’Adamio,5 Carmen Derks,2 Tim Dejaegere,2 Luca Pellegrini,6 Rudi D’Hooge,4 Luca Scorrano,1,* and Bart De Strooper2,* 1 Dulbecco-Telethon Institute, Venetian Institute of Molecular Medicine, Padova, Italy 2 Neuronal Cell Biology and Gene Transfer Laboratory 3 Membrane Trafficking Laboratory Center for Human Genetics, Flanders Interuniversity Institute for Biotechnology (VIB4) and K.U.Leuven, Leuven, Belgium 4 Laboratory of Biological Psychology, K.U.Leuven, Leuven, Belgium 5 Albert Einstein College of Medicine, Bronx, NY 10461, USA 6 Centre de Recherche Robert Giffard, Universite` Laval, G1J 2G3 Quebec, Canada 7 These authors contribute equally to this work. *Contact: [email protected] (L.S.); [email protected] (B.D.S.) DOI 10.1016/j.cell.2006.06.021 SUMMARY been identified in D. melanogaster (Freeman, 2004), where they function as essential activators of the epidermal Rhomboids, evolutionarily conserved integral growth factor (EGF) signaling pathway, proteolytically membrane proteases, participate in crucial sig- cleaving the EGF receptor ligands Spitz, Gurken, and naling pathways. Presenilin-associated rhom- Keren. Since all Rhomboids share a conserved serine boid-like (PARL) is an inner mitochondrial protease catalytic dyad (Lemberg et al., 2005), it has membrane rhomboid of unknown function, been suggested that they are able to cleave proteins in whose yeast ortholog is involved in mito- the transmembrane domain. -
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. -
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Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/) -
Identification of Conserved Genes Triggering Puberty in European Sea
Blázquez et al. BMC Genomics (2017) 18:441 DOI 10.1186/s12864-017-3823-2 RESEARCHARTICLE Open Access Identification of conserved genes triggering puberty in European sea bass males (Dicentrarchus labrax) by microarray expression profiling Mercedes Blázquez1,2* , Paula Medina1,2,3, Berta Crespo1,4, Ana Gómez1 and Silvia Zanuy1* Abstract Background: Spermatogenesisisacomplexprocesscharacterized by the activation and/or repression of a number of genes in a spatio-temporal manner. Pubertal development in males starts with the onset of the first spermatogenesis and implies the division of primary spermatogonia and their subsequent entry into meiosis. This study is aimed at the characterization of genes involved in the onset of puberty in European sea bass, and constitutes the first transcriptomic approach focused on meiosis in this species. Results: European sea bass testes collected at the onset of puberty (first successful reproduction) were grouped in stage I (resting stage), and stage II (proliferative stage). Transition from stage I to stage II was marked by an increase of 11ketotestosterone (11KT), the main fish androgen, whereas the transcriptomic study resulted in 315 genes differentially expressed between the two stages. The onset of puberty induced 1) an up-regulation of genes involved in cell proliferation, cell cycle and meiosis progression, 2) changes in genes related with reproduction and growth, and 3) a down-regulation of genes included in the retinoic acid (RA) signalling pathway. The analysis of GO-terms and biological pathways showed that cell cycle, cell division, cellular metabolic processes, and reproduction were affected, consistent with the early events that occur during the onset of puberty. -
Mitochondrial Network Fragmentation Modulates Mutant Mtdna Accumulation Independently of Absolute Fission-Fusion Rates
bioRxiv preprint doi: https://doi.org/10.1101/409128; this version posted September 5, 2018. 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-ND 4.0 International license. Mitochondrial network fragmentation modulates mutant mtDNA accumulation independently of absolute fission-fusion rates Juvid Aryaman1, Charlotte Bowles2, Nick S. Jones1,3*, Iain G. Johnston2,3,4† 1 Department of Mathematics, Imperial College London, London, United Kingdom 2 School of Biosciences, University of Birmingham, Birmingham, United Kingdom 3 EPSRC Centre for the Mathematics of Precision Healthcare, Imperial College London, London, United Kingdom 4 Lead Contact *[email protected] †[email protected] Summary Mitochondrial DNA (mtDNA) mutations cause severe congenital diseases but may also be associated with healthy aging. MtDNA is stochastically replicated and degraded, and exists within organelles which undergo dynamic fusion and fission. The role of the resulting mitochondrial networks in determining the time evolution of the cellular proportion of mutated mtDNA molecules (heteroplasmy), and cell-to-cell variability in heteroplasmy (heteroplasmy variance), remains incompletely understood. Heteroplasmy variance is particularly important since it modulates the number of pathological cells in a tissue. Here, we provide the first wide- reaching mathematical treatment which bridges mitochondrial network and genetic states. We show that, for a range of models, the rate of increase in heteroplasmy variance, and the rate of de novo mutation, is proportionately modulated by the fraction of unfused mitochondria, independently of the absolute fission- fusion rate. -
Characterization of the Small RNA Transcriptomes of Cell Protrusions and Cell Bodies of Highly Metastatic Hepatocellular Carcinoma Cells Via RNA Sequencing
ONCOLOGY LETTERS 22: 568, 2021 Characterization of the small RNA transcriptomes of cell protrusions and cell bodies of highly metastatic hepatocellular carcinoma cells via RNA sequencing WENPIN CAI1*, JINGZHANG JI2*, BITING WU2*, KAIXUAN HAO2, PING REN2, YU JIN2, LIHONG YANG2, QINGCHAO TONG2 and ZHIFA SHEN2 1Department of Laboratory Medicine, Wen Zhou Traditional Chinese Medicine Hospital; 2Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang 325035, P.R. China Received July 11, 2020; Accepted February 23, 2021 DOI: 10.3892/ol.2021.12829 Abstract. Increasing evidence suggest that hepatocellular differentially expressed miRNAs and circRNAs. The interac‑ carcinoma (HCC) HCCLM3 cells initially develop pseudo‑ tion maps between miRNAs and circRNAs were constructed, podia when they metastasize, and microRNAs (miRNAs/miRs) and signaling pathway maps were analyzed to determine the and circular RNAs (circRNAs) have been demonstrated to molecular mechanism and regulation of the differentially serve important roles in the development, progression and expressed miRNAs and circRNAs. Taken together, the results metastasis of cancer. The present study aimed to isolate the of the present study suggest that the Boyden chamber assay cell bodies (CBs) and cell protrusions (CPs) from HCCLM3 can be used to effectively isolate the somatic CBs and CPs of cells, and screen the miRNAs and circRNAs associated with HCC, which can be used to screen the miRNAs and circRNAs HCC infiltration and metastasis in CBs and CPs. The Boyden associated with invasion and metastasis of HCC. chamber assay has been confirmed to effectively isolate the CBs and CPs from HCCLM3 cells via observation of microtu‑ Introduction bule immunofluorescence, DAPI staining and nuclear protein H3 western blotting. -
The Function of NM23-H1/NME1 and Its Homologs in Major Processes Linked to Metastasis
University of Dundee The Function of NM23-H1/NME1 and Its Homologs in Major Processes Linked to Metastasis Mátyási, Barbara; Farkas, Zsolt; Kopper, László; Sebestyén, Anna; Boissan, Mathieu; Mehta, Anil Published in: Pathology and Oncology Research DOI: 10.1007/s12253-020-00797-0 Publication date: 2020 Licence: CC BY Document Version Publisher's PDF, also known as Version of record Link to publication in Discovery Research Portal Citation for published version (APA): Mátyási, B., Farkas, Z., Kopper, L., Sebestyén, A., Boissan, M., Mehta, A., & Takács-Vellai, K. (2020). The Function of NM23-H1/NME1 and Its Homologs in Major Processes Linked to Metastasis. Pathology and Oncology Research, 26(1), 49-61. https://doi.org/10.1007/s12253-020-00797-0 General rights Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine