Identification of GNA12‑Driven Gene Signatures and Key Signaling Networks in Ovarian Cancer
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Proteomic Analysis of the Role of the Quality Control Protease LONP1 in Mitochondrial Protein Aggregation
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.12.439502; this version posted April 16, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Proteomic analysis of the role of the quality control protease LONP1 in mitochondrial protein aggregation Karen Pollecker1, Marc Sylvester2 and Wolfgang Voos1,* 1Institute of Biochemistry and Molecular Biology (IBMB), University of Bonn, Faculty of Medicine, Nussallee 11, 53115 Bonn, Germany 2Core facility for mass spectrometry, Institute of Biochemistry and Molecular Biology (IBMB), University of Bonn, Faculty of Medicine, Nussallee 11, 53115 Bonn, Germany *Corresponding author Email: [email protected] Phone: +49-228-732426 Abbreviations: AAA+, ATPases associated with a wide variety of cellular activities; Δψ, mitochondrial membrane potential; gKD, genetic knockdown; HSP, heat shock protein; m, mature form; mt, mitochondrial; p, precursor form; PQC, protein quality control; qMS, quantitative mass spectrometry; ROS, reactive oxygen species; SILAC, stable isotope labeling with amino acids in cell culture; siRNA, small interfering RNA; TIM, preprotein translocase complex of the inner membrane; TMRE, tetramethylrhodamine; TOM, preprotein translocase complex of the outer membrane; UPRmt, mitochondrial unfolded protein response; WT, wild type. bioRxiv preprint doi: https://doi.org/10.1101/2021.04.12.439502; this version posted April 16, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Supporting Information
Supporting Information Figure S1. The functionality of the tagged Arp6 and Swr1 was confirmed by monitoring cell growth and sensitivity to hydeoxyurea (HU). Five-fold serial dilutions of each strain were plated on YPD with or without 50 mM HU and incubated at 30°C or 37°C for 3 days. Figure S2. Localization of Arp6 and Swr1 on chromosome 3. The binding of Arp6-FLAG (top), Swr1-FLAG (middle), and Arp6-FLAG in swr1 cells (bottom) are compared. The position of Tel 3L, Tel 3R, CEN3, and the RP gene are shown under the panels. Figure S3. Localization of Arp6 and Swr1 on chromosome 4. The binding of Arp6-FLAG (top), Swr1-FLAG (middle), and Arp6-FLAG in swr1 cells (bottom) in the whole chromosome region are compared. The position of Tel 4L, Tel 4R, CEN4, SWR1, and RP genes are shown under the panels. Figure S4. Localization of Arp6 and Swr1 on the region including the SWR1 gene of chromosome 4. The binding of Arp6- FLAG (top), Swr1-FLAG (middle), and Arp6-FLAG in swr1 cells (bottom) are compared. The position and orientation of the SWR1 gene is shown. Figure S5. Localization of Arp6 and Swr1 on chromosome 5. The binding of Arp6-FLAG (top), Swr1-FLAG (middle), and Arp6-FLAG in swr1 cells (bottom) are compared. The position of Tel 5L, Tel 5R, CEN5, and the RP genes are shown under the panels. Figure S6. Preferential localization of Arp6 and Swr1 in the 5′ end of genes. Vertical bars represent the binding ratio of proteins in each locus. -
The Involvement of Ubiquitination Machinery in Cell Cycle Regulation and Cancer Progression
International Journal of Molecular Sciences Review The Involvement of Ubiquitination Machinery in Cell Cycle Regulation and Cancer Progression Tingting Zou and Zhenghong Lin * School of Life Sciences, Chongqing University, Chongqing 401331, China; [email protected] * Correspondence: [email protected] Abstract: The cell cycle is a collection of events by which cellular components such as genetic materials and cytoplasmic components are accurately divided into two daughter cells. The cell cycle transition is primarily driven by the activation of cyclin-dependent kinases (CDKs), which activities are regulated by the ubiquitin-mediated proteolysis of key regulators such as cyclins, CDK inhibitors (CKIs), other kinases and phosphatases. Thus, the ubiquitin-proteasome system (UPS) plays a pivotal role in the regulation of the cell cycle progression via recognition, interaction, and ubiquitination or deubiquitination of key proteins. The illegitimate degradation of tumor suppressor or abnormally high accumulation of oncoproteins often results in deregulation of cell proliferation, genomic instability, and cancer occurrence. In this review, we demonstrate the diversity and complexity of the regulation of UPS machinery of the cell cycle. A profound understanding of the ubiquitination machinery will provide new insights into the regulation of the cell cycle transition, cancer treatment, and the development of anti-cancer drugs. Keywords: cell cycle regulation; CDKs; cyclins; CKIs; UPS; E3 ubiquitin ligases; Deubiquitinases (DUBs) Citation: Zou, T.; Lin, Z. The Involvement of Ubiquitination Machinery in Cell Cycle Regulation and Cancer Progression. 1. Introduction Int. J. Mol. Sci. 2021, 22, 5754. https://doi.org/10.3390/ijms22115754 The cell cycle is a ubiquitous, complex, and highly regulated process that is involved in the sequential events during which a cell duplicates its genetic materials, grows, and di- Academic Editors: Kwang-Hyun Bae vides into two daughter cells. -
Predicting Coupling Probabilities of G-Protein Coupled Receptors Gurdeep Singh1,2,†, Asuka Inoue3,*,†, J
Published online 30 May 2019 Nucleic Acids Research, 2019, Vol. 47, Web Server issue W395–W401 doi: 10.1093/nar/gkz392 PRECOG: PREdicting COupling probabilities of G-protein coupled receptors Gurdeep Singh1,2,†, Asuka Inoue3,*,†, J. Silvio Gutkind4, Robert B. Russell1,2,* and Francesco Raimondi1,2,* 1CellNetworks, Bioquant, Heidelberg University, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany, 2Biochemie Zentrum Heidelberg (BZH), Heidelberg University, Im Neuenheimer Feld 328, 69120 Heidelberg, Germany, 3Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi 980-8578, Japan and 4Department of Pharmacology and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA Received February 10, 2019; Revised April 13, 2019; Editorial Decision April 24, 2019; Accepted May 01, 2019 ABSTRACT great use in tinkering with signalling pathways in living sys- tems (5). G-protein coupled receptors (GPCRs) control multi- Ligand binding to GPCRs induces conformational ple physiological states by transducing a multitude changes that lead to binding and activation of G-proteins of extracellular stimuli into the cell via coupling to situated on the inner cell membrane. Most of mammalian intra-cellular heterotrimeric G-proteins. Deciphering GPCRs couple with more than one G-protein giving each which G-proteins couple to each of the hundreds receptor a distinct coupling profile (6) and thus specific of GPCRs present in a typical eukaryotic organism downstream cellular responses. Determining these coupling is therefore critical to understand signalling. Here, profiles is critical to understand GPCR biology and phar- we present PRECOG (precog.russelllab.org): a web- macology. Despite decades of research and hundreds of ob- server for predicting GPCR coupling, which allows served interactions, coupling information is still missing for users to: (i) predict coupling probabilities for GPCRs many receptors and sequence determinants of coupling- specificity are still largely unknown. -
Atherosclerosis-Susceptible and Atherosclerosis-Resistant Pigeon Aortic Cells Express Different Genes in Vivo
University of New Hampshire University of New Hampshire Scholars' Repository New Hampshire Agricultural Experiment Station Publications New Hampshire Agricultural Experiment Station 7-1-2013 Atherosclerosis-susceptible and atherosclerosis-resistant pigeon aortic cells express different genes in vivo Janet L. Anderson University of New Hampshire, [email protected] C. M. Ashwell University of New Hampshire - Main Campus S. C. Smith University of New Hampshire - Main Campus R. Shine University of New Hampshire - Main Campus E. C. Smith University of New Hampshire - Main Campus See next page for additional authors Follow this and additional works at: https://scholars.unh.edu/nhaes Part of the Poultry or Avian Science Commons Recommended Citation J. L. Anderson, C. M. Ashwell, S. C. Smith, R. Shine, E. C. Smith and R. L. Taylor, Jr. Atherosclerosis- susceptible and atherosclerosis-resistant pigeon aortic cells express different genes in vivo Poultry Science (2013) 92 (10): 2668-2680 doi:10.3382/ps.2013-03306 This Article is brought to you for free and open access by the New Hampshire Agricultural Experiment Station at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in New Hampshire Agricultural Experiment Station Publications by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. Authors Janet L. Anderson, C. M. Ashwell, S. C. Smith, R. Shine, E. C. Smith, and Robert L. Taylor Jr. This article is available at University of New Hampshire Scholars' Repository: https://scholars.unh.edu/nhaes/207 Atherosclerosis-susceptible and atherosclerosis-resistant pigeon aortic cells express different genes in vivo J. -
The APC/C in Female Mammalian Meiosis I
REPRODUCTIONREVIEW The APC/C in female mammalian meiosis I Hayden Homer1,2 1Mammalian Oocyte and Embryo Research Laboratory, Cell and Developmental Biology, UCL, London WC1E 6BT, UK and 2Reproductive Medicine Unit, Institute for Women’s Health, UCLH Elizabeth Garrett Anderson Wing, London NW1 2BU, UK Correspondence should be addressed to H Homer; Email: [email protected] Abstract The anaphase-promoting complex or cyclosome (APC/C) orchestrates a meticulously controlled sequence of proteolytic events critical for proper cell cycle progression, the details of which have been most extensively elucidated during mitosis. It has become apparent, however, that the APC/C, particularly when acting in concert with its Cdh1 co-activator (APC/CCdh1), executes a staggeringly diverse repertoire of functions that extend its remit well outside the bounds of mitosis. Findings over the past decade have not only earmarked mammalian oocyte maturation as one such case in point but have also begun to reveal a complex pattern of APC/C regulation that underpins many of the oocyte’s unique developmental attributes. This review will encompass the latest findings pertinent to the APC/C, especially APC/CCdh1, in mammalian oocytes and how its activity and substrates shape the stop–start tempo of female mammalian first meiotic division and the challenging requirement for assembling spindles in the absence of centrosomes. Reproduction (2013) 146 R61–R71 Introduction associated somatic follicular compartment at the time of ovulation. Significantly, although primordial germ cells Meiosis is the unique cell division that halves the in the ovary commit to meiosis during fetal life, it is chromosome compliment by coupling two successive not until postnatal adulthood that mature oocytes (or nuclear divisions with a single round of DNA replication. -
1 Spindle Assembly Checkpoint Is Sufficient for Complete Cdc20
Spindle assembly checkpoint is sufficient for complete Cdc20 sequestering in mitotic control Bashar Ibrahim Bio System Analysis Group, Friedrich-Schiller-University Jena, and Jena Centre for Bioinformatics (JCB), 07743 Jena, Germany Email: [email protected] Abstract The spindle checkpoint assembly (SAC) ensures genome fidelity by temporarily delaying anaphase onset, until all chromosomes are properly attached to the mitotic spindle. The SAC delays mitotic progression by preventing activation of the ubiquitin ligase anaphase-promoting complex (APC/C) or cyclosome; whose activation by Cdc20 is required for sister-chromatid separation marking the transition into anaphase. The mitotic checkpoint complex (MCC), which contains Cdc20 as a subunit, binds stably to the APC/C. Compelling evidence by Izawa and Pines (Nature 2014; 10.1038/nature13911) indicates that the MCC can inhibit a second Cdc20 that has already bound and activated the APC/C. Whether or not MCC per se is sufficient to fully sequester Cdc20 and inhibit APC/C remains unclear. Here, a dynamic model for SAC regulation in which the MCC binds a second Cdc20 was constructed. This model is compared to the MCC, and the MCC-and-BubR1 (dual inhibition of APC) core model variants and subsequently validated with experimental data from the literature. By using ordinary nonlinear differential equations and spatial simulations, it is shown that the SAC works sufficiently to fully sequester Cdc20 and completely inhibit APC/C activity. This study highlights the principle that a systems biology approach is vital for molecular biology and could also be used for creating hypotheses to design future experiments. Keywords: Mathematical biology, Spindle assembly checkpoint; anaphase promoting complex, MCC, Cdc20, systems biology 1 Introduction Faithful DNA segregation, prior to cell division at mitosis, is vital for maintaining genomic integrity. -
Recurrent GNAQ Mutation Encoding T96S in Natural Killer/T Cell Lymphoma
ARTICLE https://doi.org/10.1038/s41467-019-12032-9 OPEN Recurrent GNAQ mutation encoding T96S in natural killer/T cell lymphoma Zhaoming Li 1,2,9, Xudong Zhang1,2,9, Weili Xue1,3,9, Yanjie Zhang1,3,9, Chaoping Li1,3, Yue Song1,3, Mei Mei1,3, Lisha Lu1,3, Yingjun Wang1,3, Zhiyuan Zhou1,3, Mengyuan Jin1,3, Yangyang Bian4, Lei Zhang1,2, Xinhua Wang1,2, Ling Li1,2, Xin Li1,2, Xiaorui Fu1,2, Zhenchang Sun1,2, Jingjing Wu1,2, Feifei Nan1,2, Yu Chang1,2, Jiaqin Yan1,2, Hui Yu1,2, Xiaoyan Feng1,2, Guannan Wang5, Dandan Zhang5, Xuefei Fu6, Yuan Zhang7, Ken H. Young8, Wencai Li5 & Mingzhi Zhang1,2 1234567890():,; Natural killer/T cell lymphoma (NKTCL) is a rare and aggressive malignancy with a higher prevalence in Asia and South America. However, the molecular genetic mechanisms underlying NKTCL remain unclear. Here, we identify somatic mutations of GNAQ (encoding the T96S alteration of Gαq protein) in 8.7% (11/127) of NKTCL patients, through whole- exome/targeted deep sequencing. Using conditional knockout mice (Ncr1-Cre-Gnaqfl/fl), we demonstrate that Gαqdeficiency leads to enhanced NK cell survival. We also find that Gαq suppresses tumor growth of NKTCL via inhibition of the AKT and MAPK signaling pathways. Moreover, the Gαq T96S mutant may act in a dominant negative manner to promote tumor growth in NKTCL. Clinically, patients with GNAQ T96S mutations have inferior survival. Taken together, we identify recurrent somatic GNAQ T96S mutations that may contribute to the pathogenesis of NKTCL. Our work thus has implications for refining our understanding of the genetic mechanisms of NKTCL and for the development of therapies. -
ANALYSIS Doi:10.1038/Nature14663
ANALYSIS doi:10.1038/nature14663 Universal allosteric mechanism for Ga activation by GPCRs Tilman Flock1, Charles N. J. Ravarani1*, Dawei Sun2,3*, A. J. Venkatakrishnan1{, Melis Kayikci1, Christopher G. Tate1, Dmitry B. Veprintsev2,3 & M. Madan Babu1 G protein-coupled receptors (GPCRs) allosterically activate heterotrimeric G proteins and trigger GDP release. Given that there are 800 human GPCRs and 16 different Ga genes, this raises the question of whether a universal allosteric mechanism governs Ga activation. Here we show that different GPCRs interact with and activate Ga proteins through a highly conserved mechanism. Comparison of Ga with the small G protein Ras reveals how the evolution of short segments that undergo disorder-to-order transitions can decouple regions important for allosteric activation from receptor binding specificity. This might explain how the GPCR–Ga system diversified rapidly, while conserving the allosteric activation mechanism. proteins bind guanine nucleotides and act as molecular switches almost 30 A˚ away from the GDP binding region5 and allosterically trig- in a number of signalling pathways by interconverting between ger GDP release to activate them. 1,2 G a GDP-bound inactive and a GTP-bound active state . They The high-resolution structure of the Gas-bound b2-adrenergic recep- 3 5 consist of two major classes: monomeric small G proteins and hetero- tor (b2AR) provided crucial insights into the receptor–G protein inter- trimeric G proteins4. While small G proteins and the a-subunit (Ga)of face and conformational changes in Ga upon receptor binding6,7. Recent 6 8 heterotrimeric G proteins both contain a GTPase domain (G-domain), studies described dynamic regions in Gas and Gai , the importance of ˚ Ga contains an additional helical domain (H-domain) and also forms a displacement of helix 5 (H5) of Gas and Gat by up to 6 A into the complex with the Gb and Gc subunits. -
Bub1 Positions Mad1 Close to KNL1 MELT Repeats to Promote Checkpoint Signalling
ARTICLE Received 14 Dec 2016 | Accepted 3 May 2017 | Published 12 June 2017 DOI: 10.1038/ncomms15822 OPEN Bub1 positions Mad1 close to KNL1 MELT repeats to promote checkpoint signalling Gang Zhang1, Thomas Kruse1, Blanca Lo´pez-Me´ndez1, Kathrine Beck Sylvestersen1, Dimitriya H. Garvanska1, Simone Schopper1, Michael Lund Nielsen1 & Jakob Nilsson1 Proper segregation of chromosomes depends on a functional spindle assembly checkpoint (SAC) and requires kinetochore localization of the Bub1 and Mad1/Mad2 checkpoint proteins. Several aspects of Mad1/Mad2 kinetochore recruitment in human cells are unclear and in particular the underlying direct interactions. Here we show that conserved domain 1 (CD1) in human Bub1 binds directly to Mad1 and a phosphorylation site exists in CD1 that stimulates Mad1 binding and SAC signalling. Importantly, fusion of minimal kinetochore-targeting Bub1 fragments to Mad1 bypasses the need for CD1, revealing that the main function of Bub1 is to position Mad1 close to KNL1 MELTrepeats. Furthermore, we identify residues in Mad1 that are critical for Mad1 functionality, but not Bub1 binding, arguing for a direct role of Mad1 in the checkpoint. This work dissects functionally relevant molecular interactions required for spindle assembly checkpoint signalling at kinetochores in human cells. 1 The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark. Correspondence and requests for materials should be addressed to G.Z. -
Screening of Potential Genes and Transcription Factors Of
ANIMAL STUDY e-ISSN 1643-3750 © Med Sci Monit, 2018; 24: 503-510 DOI: 10.12659/MSM.907445 Received: 2017.10.08 Accepted: 2018.01.01 Screening of Potential Genes and Transcription Published: 2018.01.25 Factors of Postoperative Cognitive Dysfunction via Bioinformatics Methods Authors’ Contribution: ABE 1 Yafeng Wang 1 Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical Study Design A AB 1 Ailan Huang University, Nanning, Guangxi, P.R. China Data Collection B 2 Department of Gynecology, People’s Hospital of Guangxi Zhuang Autonomous Statistical Analysis C BEF 1 Lixia Gan Region, The First Affiliated Hospital of Guangxi Medical University, Nanning, Data Interpretation D BCF 1 Yanli Bao Guangxi, P.R. China Manuscript Preparation E BDF 1 Weilin Zhu 3 Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical Literature Search F University, Nanning, Guangxi, P.R. China Funds Collection G EF 1 Yanyan Hu AE 1 Li Ma CF 2 Shiyang Wei DE 3 Yuyan Lan Corresponding Author: Yafeng Wang, e-mail: [email protected] Source of support: Departmental sources Background: The aim of this study was to explore the potential genes and transcription factors involved in postoperative cognitive dysfunction (POCD) via bioinformatics analysis. Material/Methods: GSE95070 miRNA expression profiles were downloaded from Gene Expression Omnibus database, which in- cluded five hippocampal tissues from POCD mice and controls. Moreover, the differentially expressed miRNAs (DEMs) between the two groups were identified. In addition, the target genes of DEMs were predicted using Targetscan 7.1, followed by protein-protein interaction (PPI) network construction, functional enrichment anal- ysis, pathway analysis, and prediction of transcription factors (TFs) targeting the potential targets. -
Table S2.Up Or Down Regulated Genes in Tcof1 Knockdown Neuroblastoma N1E-115 Cells Involved in Differentbiological Process Anal
Table S2.Up or down regulated genes in Tcof1 knockdown neuroblastoma N1E-115 cells involved in differentbiological process analysed by DAVID database Pop Pop Fold Term PValue Genes Bonferroni Benjamini FDR Hits Total Enrichment GO:0044257~cellular protein catabolic 2.77E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 537 13588 1.944851 8.64E-07 8.64E-07 5.02E-07 process ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, USP17L5, FBXO11, RAD23B, NEDD8, UBE2V2, RFFL, CDC GO:0051603~proteolysis involved in 4.52E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 534 13588 1.93519 1.41E-06 7.04E-07 8.18E-07 cellular protein catabolic process ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, USP17L5, FBXO11, RAD23B, NEDD8, UBE2V2, RFFL, CDC GO:0044265~cellular macromolecule 6.09E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 609 13588 1.859332 1.90E-06 6.32E-07 1.10E-06 catabolic process ISG15, RBM8A, ATG7, LOC100046898, PSENEN, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, XRN2, USP17L5, FBXO11, RAD23B, UBE2V2, NED GO:0030163~protein catabolic process 1.81E-09 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 556 13588 1.87839 5.64E-06 1.41E-06 3.27E-06 ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4,