Protein Kinase A-Mediated Septin7 Phosphorylation Disrupts Septin Filaments and Ciliogenesis
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FK506-Binding Protein 12.6/1B, a Negative Regulator of [Ca2+], Rescues Memory and Restores Genomic Regulation in the Hippocampus of Aging Rats
This Accepted Manuscript has not been copyedited and formatted. The final version may differ from this version. A link to any extended data will be provided when the final version is posted online. Research Articles: Neurobiology of Disease FK506-Binding Protein 12.6/1b, a negative regulator of [Ca2+], rescues memory and restores genomic regulation in the hippocampus of aging rats John C. Gant1, Eric M. Blalock1, Kuey-Chu Chen1, Inga Kadish2, Olivier Thibault1, Nada M. Porter1 and Philip W. Landfield1 1Department of Pharmacology & Nutritional Sciences, University of Kentucky, Lexington, KY 40536 2Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL 35294 DOI: 10.1523/JNEUROSCI.2234-17.2017 Received: 7 August 2017 Revised: 10 October 2017 Accepted: 24 November 2017 Published: 18 December 2017 Author contributions: J.C.G. and P.W.L. designed research; J.C.G., E.M.B., K.-c.C., and I.K. performed research; J.C.G., E.M.B., K.-c.C., I.K., and P.W.L. analyzed data; J.C.G., E.M.B., O.T., N.M.P., and P.W.L. wrote the paper. Conflict of Interest: The authors declare no competing financial interests. NIH grants AG004542, AG033649, AG052050, AG037868 and McAlpine Foundation for Neuroscience Research Corresponding author: Philip W. Landfield, [email protected], Department of Pharmacology & Nutritional Sciences, University of Kentucky, 800 Rose Street, UKMC MS 307, Lexington, KY 40536 Cite as: J. Neurosci ; 10.1523/JNEUROSCI.2234-17.2017 Alerts: Sign up at www.jneurosci.org/cgi/alerts to receive customized email alerts when the fully formatted version of this article is published. -
Regulation and Dysregulation of Chromosome Structure in Cancer
Regulation and Dysregulation of Chromosome Structure in Cancer The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Hnisz, Denes et al. “Regulation and Dysregulation of Chromosome Structure in Cancer.” Annual Review of Cancer Biology 2, 1 (March 2018): 21–40 © 2018 Annual Reviews As Published https://doi.org/10.1146/annurev-cancerbio-030617-050134 Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/117286 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ Regulation and dysregulation of chromosome structure in cancer Denes Hnisz1*, Jurian Schuijers1, Charles H. Li1,2, Richard A. Young1,2* 1 Whitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA 02142, USA 2 Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA * Corresponding authors Corresponding Authors: Denes Hnisz Whitehead Institute for Biomedical Research 455 Main Street Cambridge, MA 02142 Tel: (617) 258-7181 Fax: (617) 258-0376 [email protected] Richard A. Young Whitehead Institute for Biomedical Research 455 Main Street Cambridge, MA 02142 Tel: (617) 258-5218 Fax: (617) 258-0376 [email protected] 1 Summary Cancer arises from genetic alterations that produce dysregulated gene expression programs. Normal gene regulation occurs in the context of chromosome loop structures called insulated neighborhoods, and recent studies have shown that these structures are altered and can contribute to oncogene dysregulation in various cancer cells. We review here the types of genetic and epigenetic alterations that influence neighborhood structures and contribute to gene dysregulation in cancer, present models for insulated neighborhoods associated with the most prominent human oncogenes, and discuss how such models may lead to further advances in cancer diagnosis and therapy. -
A Complete Compendium of Crystal Structures for the Human SEPT3 Subgroup Reveals Functional Plasticity at a Specific Septin Inte
research papers A complete compendium of crystal structures for IUCrJ the human SEPT3 subgroup reveals functional ISSN 2052-2525 plasticity at a specific septin interface BIOLOGYjMEDICINE Danielle Karoline Silva do Vale Castro,a,b‡ Sabrina Matos de Oliveira da Silva,a,b‡ Humberto D’Muniz Pereira,a Joci Neuby Alves Macedo,a,c Diego Antonio Leonardo,a Napolea˜o Fonseca Valadares,d Patricia Suemy Kumagai,a Jose´ Branda˜o- Received 2 December 2019 Neto,e Ana Paula Ulian Arau´joa and Richard Charles Garratta* Accepted 3 March 2020 aInstituto de Fı´sica de Sa˜o Carlos, Universidade de Sa˜o Paulo, Avenida Joao Dagnone 1100, Sa˜o Carlos-SP 13563-723, b Edited by Z.-J. Liu, Chinese Academy of Brazil, Instituto de Quı´mica de Sa˜o Carlos, Universidade de Sa˜o Paulo, Avenida Trabalhador Sa˜o-carlense 400, c Sciences, China Sa˜o Carlos-SP 13566-590, Brazil, Federal Institute of Education, Science and Technology of Rondonia, Rodovia BR-174, Km 3, Vilhena-RO 76980-000, Brazil, dDepartamento de Biologia Celular, Universidade de Brası´lia, Instituto de Cieˆncias Biolo´gicas, Brası´lia-DF 70910900, Brazil, and eDiamond Light Source, Diamond House, Harwell Science and Innovation ‡ These authors contributed equally to this Campus, Didcot OX11 0DE, United Kingdom. *Correspondence e-mail: [email protected] work. Keywords: septins; GTP binding/hydrolysis; Human septins 3, 9 and 12 are the only members of a specific subgroup of septins filaments; protein structure; X-ray that display several unusual features, including the absence of a C-terminal crystallography. coiled coil. This particular subgroup (the SEPT3 septins) are present in rod-like octameric protofilaments but are lacking in similar hexameric assemblies, which PDB references: SEPT3G–GTP S, 4z51; only contain representatives of the three remaining subgroups. -
Dissection of Molecular Assembly Dynamics by Tracking Orientation
Dissection of molecular assembly dynamics by tracking PNAS PLUS orientation and position of single molecules in live cells Shalin B. Mehtaa,1, Molly McQuilkenb,c, Patrick J. La Riviered, Patricia Occhipintib,c, Amitabh Vermaa, Rudolf Oldenbourga,e, Amy S. Gladfeltera,b,c, and Tomomi Tania,2 aEugene Bell Center for Regenerative Biology and Tissue Engineering, Marine Biological Laboratory, Woods Hole, MA 02543; bDepartment of Biological Sciences, Dartmouth College, Hanover, NH 03755; cDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599; dDepartment of Radiology, University of Chicago, Chicago, IL 60637; and ePhysics Department, Brown University, Providence, RI 02912 Edited by Jennifer Lippincott-Schwartz, National Institutes of Health, Bethesda, MD, and approved August 19, 2016 (received for review May 12, 2016) Regulation of order, such as orientation and conformation, drives excitation (3–5, 14–18) or polarization-resolved detection (1, 2, 19– the function of most molecular assemblies in living cells but 21) has allowed measurement of orientations of fluorophores. remains difficult to measure accurately through space and time. For fluorescent assemblies that exhibit simple geometries, such We built an instantaneous fluorescence polarization microscope, as planar (3), spherical (2), or cylindrical (19) shapes, two or- which simultaneously images position and orientation of fluorophores thogonal polarization-resolved measurements suffice to retrieve in living cells with single-molecule sensitivity and a time resolution fluorophore orientations relative to these geometries. However, of 100 ms. We developed image acquisition and analysis methods unbiased measurement of dipole orientation in a complex as- to track single particles that interact with higher-order assemblies sembly requires exciting or analyzing the fluorescent dipoles using of molecules. -
Bayesian Hierarchical Modeling of High-Throughput Genomic Data with Applications to Cancer Bioinformatics and Stem Cell Differentiation
BAYESIAN HIERARCHICAL MODELING OF HIGH-THROUGHPUT GENOMIC DATA WITH APPLICATIONS TO CANCER BIOINFORMATICS AND STEM CELL DIFFERENTIATION by Keegan D. Korthauer A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) at the UNIVERSITY OF WISCONSIN–MADISON 2015 Date of final oral examination: 05/04/15 The dissertation is approved by the following members of the Final Oral Committee: Christina Kendziorski, Professor, Biostatistics and Medical Informatics Michael A. Newton, Professor, Statistics Sunduz Kele¸s,Professor, Biostatistics and Medical Informatics Sijian Wang, Associate Professor, Biostatistics and Medical Informatics Michael N. Gould, Professor, Oncology © Copyright by Keegan D. Korthauer 2015 All Rights Reserved i in memory of my grandparents Ma and Pa FL Grandma and John ii ACKNOWLEDGMENTS First and foremost, I am deeply grateful to my thesis advisor Christina Kendziorski for her invaluable advice, enthusiastic support, and unending patience throughout my time at UW-Madison. She has provided sound wisdom on everything from methodological principles to the intricacies of academic research. I especially appreciate that she has always encouraged me to eke out my own path and I attribute a great deal of credit to her for the successes I have achieved thus far. I also owe special thanks to my committee member Professor Michael Newton, who guided me through one of my first collaborative research experiences and has continued to provide key advice on my thesis research. I am also indebted to the other members of my thesis committee, Professor Sunduz Kele¸s,Professor Sijian Wang, and Professor Michael Gould, whose valuable comments, questions, and suggestions have greatly improved this dissertation. -
Universidade Estadual De Campinas Instituto De Biologia
UNIVERSIDADE ESTADUAL DE CAMPINAS INSTITUTO DE BIOLOGIA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA CAMPINAS 2016 1 VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA Dissertação apresentada ao Instituto de Biologia da Universidade Estadual de Campinas como parte dos requisitos exigidos para a obtenção do Título de Mestra em Biologia Funcional e Molecular na área de concentração de Bioquímica. Dissertation presented to the Institute of Biology of the University of Campinas in partial fulfillment of the requirements for the degree of Master in Functional and Molecular Biology, in the area of Biochemistry. ESTE ARQUIVO DIGITAL CORRESPONDE À VERSÃO FINAL DA DISSERTAÇÃO DEFENDIDA PELA ALUNA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA E ORIENTADA PELO DANIEL MARTINS-DE-SOUZA. Orientador: Daniel Martins-de-Souza CAMPINAS 2016 2 Agência(s) de fomento e nº(s) de processo(s): CNPq, 151787/2F2014-0 Ficha catalográfica Universidade Estadual de Campinas Biblioteca do Instituto de Biologia Mara Janaina de Oliveira - CRB 8/6972 Saia-Cereda, Verônica Aparecida Monteiro, 1988- Sa21p O proteoma do corpo caloso da esquizofrenia / Verônica Aparecida Monteiro Saia Cereda. – Campinas, SP : [s.n.], 2016. Orientador: Daniel Martins de Souza. Dissertação (mestrado) – Universidade Estadual de Campinas, Instituto de Biologia. 1. Esquizofrenia. 2. Espectrometria de massas. 3. Corpo caloso. -
Sequencing-Based Computational Methods for Identifying Impactful Genomic Alterations in Cancers
Sequencing-based computational methods for identifying impactful genomic alterations in cancers by Isaac Charles Joseph A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computational Biology in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Lior Pachter, Chair Professor Joseph Costello Associate Professor Haiyan Huang Professor Anthony Joseph Fall 2016 Sequencing-based computational methods for identifying impactful genomic alterations in cancers Copyright 2016 by Isaac Charles Joseph 1 Abstract Sequencing-based computational methods for identifying impactful genomic alterations in cancers by Isaac Charles Joseph Doctor of Philosophy in Computational Biology University of California, Berkeley Professor Lior Pachter, Chair Recent advances in collecting sequencing data from tumors is promising for both immediate individual patient treatment and investigation of cancer mechanisms. A resultant central goal is identifying changes in tumors that are impactful towards these ends. Here, we develop two tools to identify impactful changes at different levels. We develop both methods in the context of gliomas, a common form of brain cancer. Firstly, we develop and assess a tool for assessing the impact of fusion genes, a type of common mutation using RNA-sequencing data. We validate the tool by working with collaborators in The Cancer Genome Atlas. Secondly, we develop a tool for an overall assessment of patient outcome by integrating data from diverse sequencing platforms. We validate this tool using simulation, data from consortiums, and collaborators at UCSF. i To those that suffer It is you that have convinced me that there is something still worth fighting for in this world. -
Supplementary Information Integrative Analyses of Splicing in the Aging Brain: Role in Susceptibility to Alzheimer’S Disease
Supplementary Information Integrative analyses of splicing in the aging brain: role in susceptibility to Alzheimer’s Disease Contents 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project 1.2. Mount Sinai Brain Bank Alzheimer’s Disease 1.3. CommonMind Consortium 1.4. Data Availability 2. Supplementary Tables 3. Supplementary Figures Note: Supplementary Tables are provided as separate Excel files. 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project Gene expression data1. Gene expression data were generated using RNA- sequencing from Dorsolateral Prefrontal Cortex (DLPFC) of 540 individuals, at an average sequence depth of 90M reads. Detailed description of data generation and processing was previously described2 (Mostafavi, Gaiteri et al., under review). Samples were submitted to the Broad Institute’s Genomics Platform for transcriptome analysis following the dUTP protocol with Poly(A) selection developed by Levin and colleagues3. All samples were chosen to pass two initial quality filters: RNA integrity (RIN) score >5 and quantity threshold of 5 ug (and were selected from a larger set of 724 samples). Sequencing was performed on the Illumina HiSeq with 101bp paired-end reads and achieved coverage of 150M reads of the first 12 samples. These 12 samples will serve as a deep coverage reference and included 2 males and 2 females of nonimpaired, mild cognitive impaired, and Alzheimer's cases. The remaining samples were sequenced with target coverage of 50M reads; the mean coverage for the samples passing QC is 95 million reads (median 90 million reads). The libraries were constructed and pooled according to the RIN scores such that similar RIN scores would be pooled together. -
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. -
Cell Type-Specific Gene Expression Patterns Associated with Posttraumatic Stress Disorder in World Trade Center Responders
Kuan et al. Translational Psychiatry (2019) 9:1 https://doi.org/10.1038/s41398-018-0355-8 Translational Psychiatry ARTICLE Open Access Cell type-specific gene expression patterns associated with posttraumatic stress disorder in World Trade Center responders Pei-Fen Kuan1, Xiaohua Yang2,SeanClouston 3,XuRen1,RomanKotov4, Monika Waszczuk4,PrashantK.Singh5, Sean T. Glenn5, Eduardo Cortes Gomez 6, Jianmin Wang6,EvelynBromet4 and Benjamin J. Luft2 Abstract Posttraumatic stress disorder (PTSD), a chronic disorder resulting from severe trauma, has been linked to immunologic dysregulation. Gene expression profiling has emerged as a promising tool for understanding the pathophysiology of PTSD. However, to date, all but one gene expression study was based on whole blood or unsorted peripheral blood mononuclear cell (PBMC), a complex tissue consisting of several populations of cells. The objective of this study was to utilize RNA sequencing to simultaneously profile the gene expression of four immune cell subpopulations (CD4T, CD8T, B cells, and monocytes) in 39 World Trade Center responders (20 with and 19 without PTSD) to determine which immune subsets play a role in the transcriptomic changes found in whole blood. Transcriptome-wide analyses identified cell-specific and shared differentially expressed genes across the four cell types. FKBP5 and PI4KAP1 genes were consistently upregulated across all cell types. Notably, REST and SEPT4, genes linked to neurodegeneration, were among the top differentially expressed genes in monocytes. Pathway analyses identified differentially expressed gene sets involved in mast cell activation and regulation in CD4T, interferon-beta production in CD8T, and neutrophil- fi 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; related gene sets in monocytes. -
Chromatin Dysregulation and DNA Methylation at Transcription Start Sites Associated with Transcriptional Repression in Cancers
Corrected: Publisher correction ARTICLE https://doi.org/10.1038/s41467-019-09937-w OPEN Chromatin dysregulation and DNA methylation at transcription start sites associated with transcriptional repression in cancers Mizuo Ando 1,2, Yuki Saito1,2, Guorong Xu3, Nam Q. Bui 4,5, Kate Medetgul-Ernar1, Minya Pu1, Kathleen Fisch 3, Shuling Ren1, Akihiro Sakai1, Takahito Fukusumi1, Chao Liu1, Sunny Haft1, John Pang1, Adam Mark3, Daria A. Gaykalova6, Theresa Guo6, Alexander V. Favorov 7,8, Srinivasan Yegnasubramanian7, Elana J. Fertig7, Patrick Ha 9, Pablo Tamayo 1, Tatsuya Yamasoba 2, Trey Ideker4, Karen Messer1 & Joseph A. Califano1,10 1234567890():,; Although promoter-associated CpG islands have been established as targets of DNA methylation changes in cancer, previous studies suggest that epigenetic dysregulation out- side the promoter region may be more closely associated with transcriptional changes. Here we examine DNA methylation, chromatin marks, and transcriptional alterations to define the relationship between transcriptional modulation and spatial changes in chromatin structure. Using human papillomavirus-related oropharyngeal carcinoma as a model, we show aberrant enrichment of repressive H3K9me3 at the transcriptional start site (TSS) with methylation- associated, tumor-specific gene silencing. Further analysis identifies a hypermethylated subtype which shows a functional convergence on MYC targets and association with CREBBP/EP300 mutation. The tumor-specific shift to transcriptional repression associated with DNA methylation at TSSs was confirmed in multiple tumor types. Our data may show a common underlying epigenetic dysregulation in cancer associated with broad enrichment of repressive chromatin marks and aberrant DNA hypermethylation at TSSs in combination with MYC network activation. 1 Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr, La Jolla, CA 92093, USA. -
Anti-SEPT7 Antibody (ARG55299)
Product datasheet [email protected] ARG55299 Package: 100 μl anti-SEPT7 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes 7-Sep Tested Reactivity Hu, Ms, Rat Tested Application ICC/IF, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name SEPT7 Antigen Species Human Immunogen Recombinant protein of Human SEPT7 Conjugation Un-conjugated Alternate Names Septin-7; CDC10; CDC10 protein homolog; NBLA02942; SEPT7A; CDC3 Application Instructions Application table Application Dilution ICC/IF 1:50 - 1:100 WB 1:500 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control HepG2 Calculated Mw 51 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol Preservative 0.02% Sodium azide Stabilizer 50% Glycerol Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. www.arigobio.com 1/2 Bioinformation Gene Symbol 42254 Gene Full Name septin 7 Background This gene encodes a protein that is highly similar to the CDC10 protein of Saccharomyces cerevisiae. The protein also shares similarity with Diff 6 of Drosophila and with H5 of mouse. Each of these similar proteins, including the yeast CDC10, contains a GTP-binding motif.