Disruption of the Scaffolding Function of Mlst8 Selectively Inhibits Mtorc2 Assembly and Function and Suppresses Mtorc2-Dependen
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Effects of Rapamycin on Social Interaction Deficits and Gene
Kotajima-Murakami et al. Molecular Brain (2019) 12:3 https://doi.org/10.1186/s13041-018-0423-2 RESEARCH Open Access Effects of rapamycin on social interaction deficits and gene expression in mice exposed to valproic acid in utero Hiroko Kotajima-Murakami1,2, Toshiyuki Kobayashi3, Hirofumi Kashii1,4, Atsushi Sato1,5, Yoko Hagino1, Miho Tanaka1,6, Yasumasa Nishito7, Yukio Takamatsu7, Shigeo Uchino1,2 and Kazutaka Ikeda1* Abstract The mammalian target of rapamycin (mTOR) signaling pathway plays a crucial role in cell metabolism, growth, and proliferation. The overactivation of mTOR has been implicated in the pathogenesis of syndromic autism spectrum disorder (ASD), such as tuberous sclerosis complex (TSC). Treatment with the mTOR inhibitor rapamycin improved social interaction deficits in mouse models of TSC. Prenatal exposure to valproic acid (VPA) increases the incidence of ASD. Rodent pups that are exposed to VPA in utero have been used as an animal model of ASD. Activation of the mTOR signaling pathway was recently observed in rodents that were exposed to VPA in utero, and rapamycin ameliorated social interaction deficits. The present study investigated the effect of rapamycin on social interaction deficits in both adolescence and adulthood, and gene expressions in mice that were exposed to VPA in utero. We subcutaneously injected 600 mg/kg VPA in pregnant mice on gestational day 12.5 and used the pups as a model of ASD. The pups were intraperitoneally injected with rapamycin or an equal volume of vehicle once daily for 2 consecutive days. The social interaction test was conducted in the offspring after the last rapamycin administration at 5–6 weeks of ages (adolescence) or 10–11 weeks of age (adulthood). -
Ribosomal RNA‑Depleted RNA Sequencing Reveals the Pathogenesis of Refractory Mycoplasma Pneumoniae Pneumonia in Children
MOLECULAR MEDICINE REPORTS 24: 761, 2021 Ribosomal RNA‑depleted RNA sequencing reveals the pathogenesis of refractory Mycoplasma pneumoniae pneumonia in children FENG HUANG1,2*, HUIFENG FAN1*, DIYUAN YANG1, JUNSONG ZHANG3, TINGTING SHI1, DONGWEI ZHANG1 and GEN LU1 1Department of Respiration, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510120; 2Institute of Human Virology, Zhongshan School of Medicine, Sun Yat‑sen University; 3Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, P.R. China Received April 17, 2020; Accepted May 28, 2021 DOI: 10.3892/mmr.2021.12401 Abstract. Pneumonia caused by Mycoplasma pneumoniae in the NRMPP and RMPP comparative groups were primarily (M. pneumoniae) is a major cause of community‑acquired enriched in ‘herpes simplex virus 1 infection’, ‘viral carcinogen‑ pneumonia in children. In some cases, M. pneumoniae pneu‑ esis’ and ‘RNA transport’. In the present study, a comprehensive monia (MPP) can develop into refractory MPP (RMPP), which analysis of the differences between the NRMPP and RMPP shows no clinical or radiological response to macrolides, and cases was performed based on rRNA‑depleted RNA‑sequencing can progress to severe and complicated pneumonia. However, techniques, and the selected genes and circRNAs may be closely the pathogenesis of RMPP remains poorly understood. The associated with the complex pathogenesis of RMPP. present study aimed to identify target genes that could be used as biomarkers for the clinical diagnosis of early‑stage RMPP Introduction through high‑throughput sequencing technology. The differences in long non‑coding (lnc)RNAs, mRNAs and circular (circ)RNAs Mycoplasma pneumoniae (M. pneumoniae) is one of the were examined between whole‑blood samples from two patients main pathogens that cause respiratory tract infections in with non‑refractory MPP (NRMPP), two patients with RMPP humans (1,2). -
Genetics of Tuberous Sclerosis Complex: Implications for Clinical Practice
Journal name: The Application of Clinical Genetics Article Designation: REVIEW Year: 2017 Volume: 10 The Application of Clinical Genetics Dovepress Running head verso: Caban et al Running head recto: Genetics of TSC open access to scientific and medical research DOI: http://dx.doi.org/10.2147/TACG.S90262 Open Access Full Text Article REVIEW Genetics of tuberous sclerosis complex: implications for clinical practice Carolina Caban1,2 Abstract: Tuberous sclerosis complex (TSC) is a multisystem disorder that results from hetero- Nubaira Khan1,2 zygous mutations in either TSC1 or TSC2. The primary organ systems that are affected include Daphne M Hasbani3 the brain, skin, lung, kidney, and heart, all with variable frequency, penetrance, and severity. Peter B Crino1,2 Neurological features include epilepsy, autism, and intellectual disability. There are more than 1,500 known pathogenic variants for TSC1 and TSC2, including deletion, nonsense, and missense 1Department of Neurology, 2Shriners Hospitals Pediatric Research mutations, and all pathogenic mutations are inactivating, leading to loss of function effects on Center, Temple University School of the encoded proteins TSC1 and TSC2. These proteins form a complex to constitutively inhibit 3 Medicine, Department of Neurology, mechanistic target of rapamycin (mTOR) signaling cascade, and as a consequence, mTOR signal- St. Christopher’s Hospital for Children, Drexel University College ing is constitutively active within all TSC-associated lesions. The mTOR inhibitors rapamycin For personal use only. of Medicine, Philadelphia, PA, USA (sirolimus) and everolimus have been shown to reduce the size of renal and brain lesions and improve pulmonary function in TSC, and these compounds may also decrease seizure frequency. -
Mir-7 in Cancer Development
biomedicines Review MiR-7 in Cancer Development Petra Kora´c 1 , Mariastefania Antica 2 and Maja Matuli´c 1,* 1 Department of Biology, Division of Molecular Biology, Faculty of Science, University of Zagreb, Horvatovac 102, 10000 Zagreb, Croatia; [email protected] 2 Division of Molecular Biology, Rudjer Boskovi´cInstitute, Bijeniˇcka54, 10000 Zagreb, Croatia; [email protected] * Correspondence: [email protected] Abstract: MicroRNAs (miRNAs) are short non-coding RNA involved in the regulation of specific mRNA translation. They participate in cellular signaling circuits and can act as oncogenes in tumor development, so-called oncomirs, as well as tumor suppressors. miR-7 is an ancient miRNA involved in the fine-tuning of several signaling pathways, acting mainly as tumor suppressor. Through downregulation of PI3K and MAPK pathways, its dominant role is the suppression of proliferation and survival, stimulation of apoptosis and inhibition of migration. Besides these functions, it has numerous additional roles in the differentiation process of different cell types, protection from stress and chromatin remodulation. One of the most investigated tissues is the brain, where its downregulation is linked with glioblastoma cell proliferation. Its deregulation is found also in other tumor types, such as in liver, lung and pancreas. In some types of lung and oral carcinoma, it can act as oncomir. miR-7 roles in cell fate determination and maintenance of cell homeostasis are still to be discovered, as well as the possibilities of its use as a specific biotherapeutic. Keywords: microRNAs; miR-7; gene expression; tumor suppressor; cancer cell Citation: Kora´c,P.; Antica, M.; Matuli´c,M. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Ras Functional Proximity Proteomics Establishes Mtorc2 As New Direct Ras Effector
www.oncotarget.com Oncotarget, 2019, Vol. 10, (No. 50), pp: 5126-5135 Research Perspective Ras functional proximity proteomics establishes mTORC2 as new direct ras effector Joanna R. Kovalski1,2, Ronald L. Shanderson1,2, and Paul A. Khavari1,2,3 1Program in Epithelial Biology, Stanford University, Stanford, CA 94305, USA 2Program in Cancer Biology, Stanford University, Stanford, CA 94305, USA 3VA Palo Alto Healthcare System, Palo Alto, CA 94304, USA Correspondence to: Paul A. Khavari, email: [email protected] Keywords: Ras; BioID; proteomics; CRISPR; mTORC2 Received: May 20, 2019 Accepted: May 29, 2019 Published: August 27, 2019 Copyright: Kovalski et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Although oncogenic mutations in the three major Ras isoforms, KRAS, HRAS and NRAS, are present in nearly a third of human cancers, therapeutic targeting of Ras remains a challenge due to its structure and complex regulation. However, an in-depth examination of the protein interactome of oncogenic Ras may provide new insights into key regulators, effectors and other mediators of its tumorigenic functions. Previous proteomic analyses have been limited by experimental tools that fail to capture the dynamic, transient nature of Ras cellular interactions. Therefore, in a recent study, we integrated proximity-dependent biotin labeling (BioID) proteomics with CRISPR screening of identified proteins to identify Ras proximal proteins required for Ras-dependent cancer cell growth. Oncogenic Ras was proximal to proteins involved in unexpected biological processes, such as vesicular trafficking and solute transport. -
Molecular Docking and Pharmacokinetic of Highly Specific Novel Pan-Mtor Inhibitors Against Solid Tumors
MOJ Proteomics & Bioinformatics Research Article Open Access Molecular docking and pharmacokinetic of highly specific novel pan-mtor inhibitors against solid tumors Abstract Volume 5 Issue 6 - 2017 Mechanistic/mammalian target of rapamycin (mTOR) a serine/threonine kinase belonging Muhammad Naveed,1,2 Safia Zia,1 Maryam to PI3K/Akt/mTOR pathway is involved in different cellular functions cell survival, 1 1 1 metabolism, growth, proliferation, apoptosis and autophagy. Pan-mTOR inhibitors are Akhtar, Fatima Ashraf, Amber Afroz 1Department of Biochemistry and Biotechnology, University of targeted towards mTOR dysregulation, inhibiting the kinase domain of both mTORC1 Gujrat, Pakistan and mTORC2. The present study analyzes the binding modes and molecular interactions 2Department of Biotechnology, University of Gujrat, Pakistan of highly specific mTOR inhibitors, AZD8055 and its sister compoundAZD2014using computational approach. Both inhibitors proved to be effective against solid tumors in Correspondence: Muhammad Naveed, Department of vitro and in vivo. Docking analysis was performed using Auto Dock Vina, conformations Biochemistry and Biotechnology, University of Gujrat, Pakistan, were scored based upon their binding energy (kcal/mol) and illustrated using Discovery Tel 00923015524624, Email [email protected] Studio Visualizer 4.5 version. Inhibitors fit between N- and C-lobes of mTOR kinase domain into the inner hydrophobic core. The results indicated interactions with distinctive Received: February 03, 2017 | Published: June 27, 2017 mTOR residues Trp-2239, Leu-2185 and newly developed interactions with Asp-2375 for AZD2014 and with Ala-2248, His-2247, Thr-2245 for AZD8055. The binding pattern of both inhibitors was slightly different, responsible for better pharmacokinetic profile of AZD2014 and 5 fold increase in efficacy of AZD8055. -
Structural and Functional Dissection of Reovirus Capsid Folding and Assembly by the Prefoldin-Tric/CCT Chaperone Network
Structural and functional dissection of reovirus capsid folding and assembly by the prefoldin-TRiC/CCT chaperone network Jonathan J. Knowltona,b,1, Daniel Gestautc,1, Boxue Mad,e,f,2, Gwen Taylora,g,2, Alpay Burak Sevenh,i, Alexander Leitnerj, Gregory J. Wilsonk, Sreejesh Shankerl, Nathan A. Yatesm, B. V. Venkataram Prasadl, Ruedi Aebersoldj,n, Wah Chiud,e,f, Judith Frydmanc,3, and Terence S. Dermodya,g,o,3 aDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15224; bDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232; cDepartment of Biology, Stanford University, Stanford, CA 94305; dDepartment of Bioengineering, Stanford University, Stanford, CA 94305; eDepartment of Microbiology and Immunology, Stanford University, Stanford, CA 94305; fDepartment of Photon Science, Stanford University, Stanford, CA 94305; gCenter for Microbial Pathogenesis, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA 15224; hDepartment of Structural Biology, Stanford University, Stanford, CA 94305; iDepartment of Molecular and Cellular Physiology, Stanford University, Palo Alto, CA 94305; jDepartment of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland; kDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232; lVerna and Marrs Mclean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030; mDepartment of Cell Biology, University of Pittsburgh School of Medicine, -
Mapping of Craniofacial Traits in Outbred Mice Identifies Major Developmental Genes Involved in Shape Determination
Mapping of craniofacial traits in outbred mice identifies major developmental genes involved in shape determination Luisa F Pallares1, Peter Carbonetto2,3, Shyam Gopalakrishnan2,4, Clarissa C Parker2,5, Cheryl L Ackert-Bicknell6, Abraham A Palmer2,7, Diethard Tautz1 # 1Max Planck Institute for Evolutionary Biology, Plön, Germany 2University of Chicago, Chicago, Illinois, USA 3AncestryDNA, San Francisco, California, USA 4Museum of Natural History, Copenhagen University, Copenhagen, Denmark 5Middlebury College, Department of Psychology and Program in Neuroscience, Middlebury VT, USA 6Center for Musculoskeletal Research, University of Rochester, Rochester, NY USA 7University of California San Diego, La Jolla, CA, USA # corresponding author: [email protected] short title: craniofacial shape mapping Abstract The vertebrate cranium is a prime example of the high evolvability of complex traits. While evidence of genes and developmental pathways underlying craniofacial shape determination 1 is accumulating, we are still far from understanding how such variation at the genetic level is translated into craniofacial shape variation. Here we used 3D geometric morphometrics to map genes involved in shape determination in a population of outbred mice (Carworth Farms White, or CFW). We defined shape traits via principal component analysis of 3D skull and mandible measurements. We mapped genetic loci associated with shape traits at ~80,000 candidate single nucleotide polymorphisms in ~700 male mice. We found that craniofacial shape and size are highly heritable, polygenic traits. Despite the polygenic nature of the traits, we identified 17 loci that explain variation in skull shape, and 8 loci associated with variation in mandible shape. Together, the associated variants account for 11.4% of skull and 4.4% of mandible shape variation, however, the total additive genetic variance associated with phenotypic variation was estimated in ~45%. -
The Human Gene Connectome As a Map of Short Cuts for Morbid Allele Discovery
The human gene connectome as a map of short cuts for morbid allele discovery Yuval Itana,1, Shen-Ying Zhanga,b, Guillaume Vogta,b, Avinash Abhyankara, Melina Hermana, Patrick Nitschkec, Dror Friedd, Lluis Quintana-Murcie, Laurent Abela,b, and Jean-Laurent Casanovaa,b,f aSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; bLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Paris Descartes University, Institut National de la Santé et de la Recherche Médicale U980, Necker Medical School, 75015 Paris, France; cPlateforme Bioinformatique, Université Paris Descartes, 75116 Paris, France; dDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel; eUnit of Human Evolutionary Genetics, Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Institut Pasteur, F-75015 Paris, France; and fPediatric Immunology-Hematology Unit, Necker Hospital for Sick Children, 75015 Paris, France Edited* by Bruce Beutler, University of Texas Southwestern Medical Center, Dallas, TX, and approved February 15, 2013 (received for review October 19, 2012) High-throughput genomic data reveal thousands of gene variants to detect a single mutated gene, with the other polymorphic genes per patient, and it is often difficult to determine which of these being of less interest. This goes some way to explaining why, variants underlies disease in a given individual. However, at the despite the abundance of NGS data, the discovery of disease- population level, there may be some degree of phenotypic homo- causing alleles from such data remains somewhat limited. geneity, with alterations of specific physiological pathways under- We developed the human gene connectome (HGC) to over- come this problem. -
A Concise Review of Human Brain Methylome During Aging and Neurodegenerative Diseases
BMB Rep. 2019; 52(10): 577-588 BMB www.bmbreports.org Reports Invited Mini Review A concise review of human brain methylome during aging and neurodegenerative diseases Renuka Prasad G & Eek-hoon Jho* Department of Life Science, University of Seoul, Seoul 02504, Korea DNA methylation at CpG sites is an essential epigenetic mark position of carbon in the cytosine within CG dinucleotides that regulates gene expression during mammalian development with resultant formation of 5mC. The symmetrical CG and diseases. Methylome refers to the entire set of methylation dinucleotides are also called as CpG, due to the presence of modifications present in the whole genome. Over the last phosphodiester bond between cytosine and guanine. The several years, an increasing number of reports on brain DNA human genome contains short lengths of DNA (∼1,000 bp) in methylome reported the association between aberrant which CpG is commonly located (∼1 per 10 bp) in methylation and the abnormalities in the expression of critical unmethylated form and referred as CpG islands; they genes known to have critical roles during aging and neuro- commonly overlap with the transcription start sites (TSSs) of degenerative diseases. Consequently, the role of methylation genes. In human DNA, 5mC is present in approximately 1.5% in understanding neurodegenerative diseases has been under of the whole genome and CpG base pairs are 5-fold enriched focus. This review outlines the current knowledge of the human in CpG islands than other regions of the genome (3, 4). CpG brain DNA methylomes during aging and neurodegenerative islands have the following salient features. In the human diseases. -
The Human Gene Connectome As a Map of Short Cuts for Morbid Allele Discovery
The human gene connectome as a map of short cuts for morbid allele discovery Yuval Itana,1, Shen-Ying Zhanga,b, Guillaume Vogta,b, Avinash Abhyankara, Melina Hermana, Patrick Nitschkec, Dror Friedd, Lluis Quintana-Murcie, Laurent Abela,b, and Jean-Laurent Casanovaa,b,f aSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; bLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Paris Descartes University, Institut National de la Santé et de la Recherche Médicale U980, Necker Medical School, 75015 Paris, France; cPlateforme Bioinformatique, Université Paris Descartes, 75116 Paris, France; dDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel; eUnit of Human Evolutionary Genetics, Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Institut Pasteur, F-75015 Paris, France; and fPediatric Immunology-Hematology Unit, Necker Hospital for Sick Children, 75015 Paris, France Edited* by Bruce Beutler, University of Texas Southwestern Medical Center, Dallas, TX, and approved February 15, 2013 (received for review October 19, 2012) High-throughput genomic data reveal thousands of gene variants to detect a single mutated gene, with the other polymorphic genes per patient, and it is often difficult to determine which of these being of less interest. This goes some way to explaining why, variants underlies disease in a given individual. However, at the despite the abundance of NGS data, the discovery of disease- population level, there may be some degree of phenotypic homo- causing alleles from such data remains somewhat limited. geneity, with alterations of specific physiological pathways under- We developed the human gene connectome (HGC) to over- come this problem.