Monochromosome Transfer and Microarray Analysis Identify a Critical Tumor-Suppressive Region Mapping to Chromosome 13Q14 and THSD1 in Esophageal Carcinoma
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Supplemental Table S1
Entrez Gene Symbol Gene Name Affymetrix EST Glomchip SAGE Stanford Literature HPA confirmed Gene ID Profiling profiling Profiling Profiling array profiling confirmed 1 2 A2M alpha-2-macroglobulin 0 0 0 1 0 2 10347 ABCA7 ATP-binding cassette, sub-family A (ABC1), member 7 1 0 0 0 0 3 10350 ABCA9 ATP-binding cassette, sub-family A (ABC1), member 9 1 0 0 0 0 4 10057 ABCC5 ATP-binding cassette, sub-family C (CFTR/MRP), member 5 1 0 0 0 0 5 10060 ABCC9 ATP-binding cassette, sub-family C (CFTR/MRP), member 9 1 0 0 0 0 6 79575 ABHD8 abhydrolase domain containing 8 1 0 0 0 0 7 51225 ABI3 ABI gene family, member 3 1 0 1 0 0 8 29 ABR active BCR-related gene 1 0 0 0 0 9 25841 ABTB2 ankyrin repeat and BTB (POZ) domain containing 2 1 0 1 0 0 10 30 ACAA1 acetyl-Coenzyme A acyltransferase 1 (peroxisomal 3-oxoacyl-Coenzyme A thiol 0 1 0 0 0 11 43 ACHE acetylcholinesterase (Yt blood group) 1 0 0 0 0 12 58 ACTA1 actin, alpha 1, skeletal muscle 0 1 0 0 0 13 60 ACTB actin, beta 01000 1 14 71 ACTG1 actin, gamma 1 0 1 0 0 0 15 81 ACTN4 actinin, alpha 4 0 0 1 1 1 10700177 16 10096 ACTR3 ARP3 actin-related protein 3 homolog (yeast) 0 1 0 0 0 17 94 ACVRL1 activin A receptor type II-like 1 1 0 1 0 0 18 8038 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 1 0 0 0 0 19 8751 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 1 0 0 0 0 20 8728 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 1 0 0 0 0 21 81792 ADAMTS12 ADAM metallopeptidase with thrombospondin type 1 motif, 12 1 0 0 0 0 22 9507 ADAMTS4 ADAM metallopeptidase with thrombospondin type 1 -
CLASP2 Antibody Product Type
PRODUCT INFORMATION Product name: CLASP2 antibody Product type: Primary antibodies Description: Rabbit polyclonal to CLASP2 Immunogen:3 synthetic peptides (human) conjugated to KLH Reacts with:Hu, Ms Tested applications:ELISA, WB and IF GENE INFORMATION Gene Symbol: CLASP2 Gene Name:cytoplasmic linker associated protein 2 Ensembl ID:ENSG00000163539 Entrez GeneID:23122 GenBank Accession number:AB014527 Swiss-Prot:O75122 Molecular weight of CLASP2: 165.9 & 108.6kDa Function:Microtubule plus-end tracking protein that promotes the stabilization of dynamic microtubules. Involved in the nucleation of noncentrosomal microtubules originating from the trans-Golgi network (TGN). Required for the polarization of the cytoplasmic microtubule arrays in migrating cells towards the leading edge of the cell. May act at the cell cortex to enhance the frequency of rescue of depolymerizing microtubules by attaching their plus- ends to cortical platforms composed of ERC1 and PHLDB2. This cortical microtubule stabilizing activity is regulated at least in part by phosphatidylinositol 3-kinase signaling. Also performs a similar stabilizing function at the kinetochore which is essential for the bipolar alignment of chromosomes on the mitotic spindle. Acts as a mediator of ERBB2- dependent stabilization of microtubules at the cell cortex. Expected subcellular localization:Cytoplasm › cytoskeleton. Cytoplasm › cytoskeleton › microtubule organizing center › centrosome. Chromosome › centromere › kinetochore. Cytoplasm › cytoskeleton › spindle. Golgi apparatus. Golgi apparatus › trans-Golgi network. Cell membrane. Cell projection › ruffle membrane. Note: Localizes to microtubule plus ends. Localizes to centrosomes, kinetochores and the mitotic spindle from prometaphase. Subsequently localizes to the spindle midzone from anaphase and to the midbody from telophase. In migrating cells localizes to the plus ends of microtubules within the cell body and to the entire microtubule lattice within the lamella. -
Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 2019. 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. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 2019. 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. -
Mouse Phldb2 Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Phldb2 Knockout Project (CRISPR/Cas9) Objective: To create a Phldb2 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Phldb2 gene (NCBI Reference Sequence: NM_001252442 ; Ensembl: ENSMUSG00000033149 ) is located on Mouse chromosome 16. 19 exons are identified, with the ATG start codon in exon 2 and the TAG stop codon in exon 19 (Transcript: ENSMUST00000076333). Exon 2 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for a conditional allele activated in neurons exhibit impaired LTP. Exon 2 starts from the coding region. Exon 2 covers 33.87% of the coding region. The size of effective KO region: ~1337 bp. The KO region does not have any other known gene. Page 1 of 9 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 19 Legends Exon of mouse Phldb2 Knockout region Page 2 of 9 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section upstream of Exon 2 is aligned with itself to determine if there are tandem repeats. Tandem repeats are found in the dot plot matrix. The gRNA site is selected outside of these tandem repeats. Overview of the Dot Plot (down) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section downstream of Exon 2 is aligned with itself to determine if there are tandem repeats. -
Long-Range Chromosome Interactions Mediated by Cohesin Shape Circadian Gene Expression
RESEARCH ARTICLE Long-Range Chromosome Interactions Mediated by Cohesin Shape Circadian Gene Expression Yichi Xu1,2, Weimin Guo1, Ping Li3, Yan Zhang3, Meng Zhao1,4, Zenghua Fan1,2, Zhihu Zhao3, Jun Yan1,4* 1 CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China, 2 University of Chinese Academy of Sciences, Shanghai, China, 3 Beijing Institute of Biotechnology, Beijing, China, 4 Institute of Neuroscience, State Key Laboratory a11111 of Neuroscience, CAS Center for Excellence in Brain Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China * [email protected] Abstract OPEN ACCESS Mammalian circadian rhythm is established by the negative feedback loops consisting of a Citation: Xu Y, Guo W, Li P, Zhang Y, Zhao M, Fan Z, et al. (2016) Long-Range Chromosome Interactions set of clock genes, which lead to the circadian expression of thousands of downstream Mediated by Cohesin Shape Circadian Gene genes in vivo. As genome-wide transcription is organized under the high-order chromosome Expression. PLoS Genet 12(5): e1005992. structure, it is largely uncharted how circadian gene expression is influenced by chromo- doi:10.1371/journal.pgen.1005992 some architecture. We focus on the function of chromatin structure proteins cohesin as well — Editor: Achim Kramer, Charité Universitätsmedizin as CTCF (CCCTC-binding factor) in circadian rhythm. Using circular chromosome confor- Berlin, GERMANY mation capture sequencing, we systematically examined the interacting loci of a Bmal1- Received: October 10, 2015 bound super-enhancer upstream of a clock gene Nr1d1 in mouse liver. These interactions Accepted: March 27, 2016 are largely stable in the circadian cycle and cohesin binding sites are enriched in the interac- Published: May 2, 2016 tome. -
Frequent Variations in Cancer-Related Genes May Play Prognostic Role in Treatment of Patients with Chronic Myeloid Leukemia Alexander V
Lavrov et al. BMC Genetics 2016, 17(Suppl 1):14 DOI 10.1186/s12863-015-0308-7 RESEARCH Open Access Frequent variations in cancer-related genes may play prognostic role in treatment of patients with chronic myeloid leukemia Alexander V. Lavrov1,2*, Ekaterina Y. Chelysheva3, Svetlana A. Smirnikhina1, Oleg A. Shukhov3, Anna G. Turkina3, Elmira P. Adilgereeva1 and Sergey I. Kutsev1,2 From The 7th International Young Scientists School “Systems Biology and Bioinformatics” (SBB’2015) Novosibirsk, Russia. 22-25 June 2015 Abstract Background: Genome variability of host genome and cancer cells play critical role in diversity of response to existing therapies and overall success in treating oncological diseases. In chronic myeloid leukemia targeted therapy with tyrosine kinase inhibitors demonstrates high efficacy in most of the patients. However about 15 % of patients demonstrate primary resistance to standard therapy. Whole exome sequencing is a good tool for unbiased search of genetic variations important for prognosis of survival and therapy efficacy in many cancers. We apply this approach to CML patients with optimal response and failure of tyrosine kinase therapy. Results: We analyzed exome variations between optimal responders and failures and found 7 variants in cancer- related genes with different genotypes in two groups of patients. Five of them were found in optimal responders: rs11579366, rs1990236, rs176037, rs10653661, rs3803264 and two in failures: rs3099950, rs9471966. These variants were found in genes associated with cancers (ANKRD35, DNAH9, MAGEC1, TOX3) or participating in cancer-related signaling pathways (THSD1, MORN2, PTCRA). Conclusion: We found gene variants which may become early predictors of the therapy outcome and allow development of new early prognostic tests for estimation of therapy efficacy in CML patients. -
Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones). -
Caracterización De Complejos CDK-Ciclina Atípicos Humanos Eva Quandt Herrera
Caracterización de complejos CDK-Ciclina atípicos humanos Eva Quandt Herrera ADVERTIMENT. La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX (www.tesisenxarxa.net) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d’investigació i docència. No s’autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d’un lloc aliè al servei TDX. No s’autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora. ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR (www.tesisenred.net) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR. No se autoriza la presentación de su contenido en una ventana o marco ajeno a TDR (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos. En la utilización o cita de partes de la tesis es obligado indicar el nombre de la persona autora. -
ID AKI Vs Control Fold Change P Value Symbol Entrez Gene Name *In
ID AKI vs control P value Symbol Entrez Gene Name *In case of multiple probesets per gene, one with the highest fold change was selected. Fold Change 208083_s_at 7.88 0.000932 ITGB6 integrin, beta 6 202376_at 6.12 0.000518 SERPINA3 serpin peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 3 1553575_at 5.62 0.0033 MT-ND6 NADH dehydrogenase, subunit 6 (complex I) 212768_s_at 5.50 0.000896 OLFM4 olfactomedin 4 206157_at 5.26 0.00177 PTX3 pentraxin 3, long 212531_at 4.26 0.00405 LCN2 lipocalin 2 215646_s_at 4.13 0.00408 VCAN versican 202018_s_at 4.12 0.0318 LTF lactotransferrin 203021_at 4.05 0.0129 SLPI secretory leukocyte peptidase inhibitor 222486_s_at 4.03 0.000329 ADAMTS1 ADAM metallopeptidase with thrombospondin type 1 motif, 1 1552439_s_at 3.82 0.000714 MEGF11 multiple EGF-like-domains 11 210602_s_at 3.74 0.000408 CDH6 cadherin 6, type 2, K-cadherin (fetal kidney) 229947_at 3.62 0.00843 PI15 peptidase inhibitor 15 204006_s_at 3.39 0.00241 FCGR3A Fc fragment of IgG, low affinity IIIa, receptor (CD16a) 202238_s_at 3.29 0.00492 NNMT nicotinamide N-methyltransferase 202917_s_at 3.20 0.00369 S100A8 S100 calcium binding protein A8 215223_s_at 3.17 0.000516 SOD2 superoxide dismutase 2, mitochondrial 204627_s_at 3.04 0.00619 ITGB3 integrin, beta 3 (platelet glycoprotein IIIa, antigen CD61) 223217_s_at 2.99 0.00397 NFKBIZ nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, zeta 231067_s_at 2.97 0.00681 AKAP12 A kinase (PRKA) anchor protein 12 224917_at 2.94 0.00256 VMP1/ mir-21likely ortholog -
Human-Specific Tandem Repeat Expansion and Differential Gene Expression During Primate Evolution
Human-specific tandem repeat expansion and differential gene expression during primate evolution Arvis Sulovaria, Ruiyang Lia, Peter A. Audanoa, David Porubskya, Mitchell R. Vollgera, Glennis A. Logsdona, Human Genome Structural Variation Consortium1, Wesley C. Warrenb, Alex A. Pollenc, Mark J. P. Chaissona,d, and Evan E. Eichlera,e,2 aDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195; bBond Life Sciences Center, University of Missouri, Columbia, MO 65201; cDepartment of Neurology, University of California, San Francisco, CA 94143; dQuantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089; and eHoward Hughes Medical Institute, University of Washington, Seattle, WA 98195 Edited by Stephen T. Warren, Emory University School of Medicine, Atlanta, GA, and approved October 1, 2019 (received for review July 17, 2019) Short tandem repeats (STRs) and variable number tandem repeats Despite their established importance in population genetics (VNTRs) are important sources of natural and disease-causing and disease association, tandem repeats, particularly VNTRs, variation, yet they have been problematic to resolve in reference are among the least characterized forms of genetic variation in genomes and genotype with short-read technology. We created a the human genome (13, 14). Their repetitive nature and some- framework to model the evolution and instability of STRs and VNTRs times extreme GC content make them particularly challenging to in apes. We phased and assembled 3 ape genomes (chimpanzee, sequence and assemble with standard whole-genome shotgun gorilla, and orangutan) using long-read and 10x Genomics linked- sequencing assembly strategies, including next generation se- read sequence data for 21,442 human tandem repeats discovered in quencing approaches that depend on bridge amplification (15). -
Chamber-Enriched Gene Expression Profiles in Failing Human Hearts with Reduced Ejection Fraction
www.nature.com/scientificreports OPEN Chamber‑enriched gene expression profles in failing human hearts with reduced ejection fraction Xin Luo1, Jun Yin1, Denise Dwyer2, Tracy Yamawaki1, Hong Zhou1, Hongfei Ge3, Chun‑Ya Han2, Artem Shkumatov4, Karen Snyder5, Brandon Ason3, Chi‑Ming Li1, Oliver Homann1 & Marina Stolina2* Heart failure with reduced ejection fraction (HFrEF) constitutes 50% of HF hospitalizations and is characterized by high rates of mortality. To explore the underlying mechanisms of HFrEF etiology and progression, we studied the molecular and cellular diferences in four chambers of non‑failing (NF, n = 10) and HFrEF (n = 12) human hearts. We identifed 333 genes enriched within NF heart subregions and often associated with cardiovascular disease GWAS variants. Expression analysis of HFrEF tissues revealed extensive disease‑associated transcriptional and signaling alterations in left atrium (LA) and left ventricle (LV). Common left heart HFrEF pathologies included mitochondrial dysfunction, cardiac hypertrophy and fbrosis. Oxidative stress and cardiac necrosis pathways were prominent within LV, whereas TGF‑beta signaling was evident within LA. Cell type composition was estimated by deconvolution and revealed that HFrEF samples had smaller percentage of cardiomyocytes within the left heart, higher representation of fbroblasts within LA and perivascular cells within the left heart relative to NF samples. We identifed essential modules associated with HFrEF pathology and linked transcriptome discoveries with human genetics fndings. This study contributes to a growing body of knowledge describing chamber‑specifc transcriptomics and revealed genes and pathways that are associated with heart failure pathophysiology, which may aid in therapeutic target discovery. By physiological function, the human heart is a muscular pump that circulates blood, perfusing tissues through- out the body. -
Study of Z-Disc-Associated Signaling Networks in Skeletal Muscle Cells by Functional and Global Phosphoproteomics
PHDTHESIS Study of Z-disc-associated Signaling Networks in Skeletal Muscle Cells by Functional and Global Phosphoproteomics Inaugural-Dissertation zur Erlangung der Doktorwürde der Fakultät für Biologie der Albert-Ludwigs-Universität Freiburg im Breisgau vorgelegt von Lena Reimann geboren in Bielefeld Freiburg im Breisgau 01.08.2016 Angefertigt am Institut für Biologie II AG Biochemie und Funktionelle Proteomforschung zellulärer Systeme unter der Leitung von Prof. Dr. Bettina Warscheid Dekan der Fakultät für Biologie: Prof. Dr. Wolfgang Driever Promotionsvorsitzender: Prof. Dr. Stefan Rotter Betreuer der Arbeit: Prof. Dr. Bettina Warscheid Referent: Prof. Dr. Bettina Warscheid Koreferent:Prof. Dr. Jörn Dengjel Drittprüfer: Prof. Dr. Gerald Radziwill Datum der mündlichen Prüfung:21.10.2016 ART IS I, science is we. - Claude Bernard Zusammenfassung Als essentielle, strukturgebende Komponente des Sarkomers spielt die Z-Scheibe eine maßge- liche Rolle für die Funktionalität der quergestreiften Muskulatur. Die stetige Identifizierung von neuen Z-Scheiben-lokalisierten Proteinen, sowie deren Relevanz in muskulären Krankheits- bildern, hat die Z-Scheibe zunehmend in den Fokus der aktuellen Forschung gerückt. Neben ihrer strukturgebenden Funktion zeigen neuere Studien, dass die Z-Scheibe ein Hotspot für Signalprozesse in Muskelzellen ist. Bisher gibt es jedoch keine globalen Untersuchungen zur Aufklärung der komplexen Signalwege assoziiert mit dieser Struktur. Um Z-Scheiben-assoziierte Signalprozesse näher zu charakterisieren, wurde im ersten Teil dieser Arbeit eine großangelegte Phosphoproteomstudie mit ausdifferenzierten, kon- trahierenden C2C12 Myotuben durchgeführt. Zu diesem Zweck wurden die tryptisch ver- dauten Proteine mittels SCX-Chromatographie fraktioniert. Die anschließende Phosphopep- tidanreicherung erfolgte mit Titandioxid, gefolgt von einer hochauflösenden massenspek- trometrischen Analyse. Insgesamt wurden 11.369 Phosphorylierungsstellen, darunter 586 in sarkomerischen Proteinen gefunden.