Three Dact Gene Family Members Are Expressed During Embryonic Development
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Investigation of Key Genes and Pathways in Inhibition of Oxycodone on Vincristine-Induced Microglia Activation by Using Bioinformatics Analysis
Hindawi Disease Markers Volume 2019, Article ID 3521746, 10 pages https://doi.org/10.1155/2019/3521746 Research Article Investigation of Key Genes and Pathways in Inhibition of Oxycodone on Vincristine-Induced Microglia Activation by Using Bioinformatics Analysis Wei Liu,1 Jishi Ye,2 and Hong Yan 1 1Department of Anesthesiology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China 2Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, 430060 Hubei, China Correspondence should be addressed to Hong Yan; [email protected] Received 2 November 2018; Accepted 31 December 2018; Published 10 February 2019 Academic Editor: Hubertus Himmerich Copyright © 2019 Wei Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Introduction. The neurobiological mechanisms underlying the chemotherapy-induced neuropathic pain are only partially understood. Among them, microglia activation was identified as the key component of neuropathic pain. The aim of this study was to identify differentially expressed genes (DEGs) and pathways associated with vincristine-induced neuropathic pain by using bioinformatics analysis and observe the effects of oxycodone on these DEG expressions in a vincristine-induced microglia activation model. Methods. Based on microarray profile GSE53897, we identified DEGs between vincristine-induced neuropathic pain rats and the control group. Using the ToppGene database, the prioritization DEGs were screened and performed by gene ontology (GO) and signaling pathway enrichment. A protein-protein interaction (PPI) network was used to explore the relationship among DEGs. -
Mcm2 Is a Target of Regulation by Cdc7–Dbf4 During the Initiation of DNA Synthesis
Downloaded from genesdev.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Mcm2 is a target of regulation by Cdc7–Dbf4 during the initiation of DNA synthesis Ming Lei,1 Yasuo Kawasaki,1,2 Michael R. Young,1,3 Makoto Kihara,2 Akio Sugino,2 and Bik K. Tye1,4 1Section of Biochemistry, Molecular and Cell Biology, Cornell University, Ithaca, New York 14853-2703 USA; 2Research Institute for Microbial Diseases, Osaka University, Osaka 565, Japan The initiation of DNA synthesis is an important cell cycle event that defines the beginning of S phase. This critical event involves the participation of proteins whose functions are regulated by cyclin dependent protein kinases (Cdks). The Mcm2–7 proteins are a family of six conserved proteins that are essential for the initiation of DNA synthesis in all eukaryotes. In Saccharomyces cerevisiae, members of the Mcm2–7 family undergo cell cycle-specific phosphorylation. Phosphorylation of Mcm proteins at the beginning of S phase coincides with the removal of these proteins from chromatin and the onset of DNA synthesis. In this study, we identified DBF4, which encodes the regulatory subunit of a Cdk-like protein kinase Cdc7–Dbf4, in a screen for second site suppressors of mcm2-1. The dbf4 suppressor mutation restores competence to initiate DNA synthesis to the mcm2-1 mutant. Cdc7–Dbf4 interacts physically with Mcm2 and phosphorylates Mcm2 and three other members of the Mcm2–7 family in vitro. Blocking the kinase activity of Cdc7–Dbf4 at the G1-to-S phase transition also blocks the phosphorylation of Mcm2 at this defined point of the cell cycle. -
Oncogenic Role of SFRP2 in P53-Mutant Osteosarcoma Development Via Autocrine and Paracrine Mechanism
Oncogenic role of SFRP2 in p53-mutant osteosarcoma development via autocrine and paracrine mechanism Huensuk Kima,b,c, Seungyeul Yood,e, Ruoji Zhouf,g,AnXuf, Jeffrey M. Bernitza,b,c, Ye Yuana,b,c, Andreia M. Gomesa,b,h,i, Michael G. Daniela,b,c, Jie Sua,b,c,j, Elizabeth G. Demiccok,l, Jun Zhud,e, Kateri A. Moorea,b,c, Dung-Fang Leea,b,f,g,m,n,1,2, Ihor R. Lemischkaa,b,c,o,1,3, and Christoph Schaniela,b,c,o,p,1,2 aDepartment of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029; bThe Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029; cThe Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029; dDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029; eIcahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029; fDepartment of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030; gThe University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030; hCentre for Neuroscience and Cell Biology, University of Coimbra, 3030-789 Coimbra, Portugal; iInstitute for Interdisciplinary Research, University of Coimbra, 3030-789 Coimbra, Portugal; jCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065; kDepartment of Pathology, Icahn School -
DNA Replication Stress Response Involving PLK1, CDC6, POLQ
DNA replication stress response involving PLK1, CDC6, POLQ, RAD51 and CLASPIN upregulation prognoses the outcome of early/mid-stage non-small cell lung cancer patients C. Allera-Moreau, I. Rouquette, B. Lepage, N. Oumouhou, M. Walschaerts, E. Leconte, V. Schilling, K. Gordien, L. Brouchet, Mb Delisle, et al. To cite this version: C. Allera-Moreau, I. Rouquette, B. Lepage, N. Oumouhou, M. Walschaerts, et al.. DNA replica- tion stress response involving PLK1, CDC6, POLQ, RAD51 and CLASPIN upregulation prognoses the outcome of early/mid-stage non-small cell lung cancer patients. Oncogenesis, Nature Publishing Group: Open Access Journals - Option C, 2012, 1, pp.e30. 10.1038/oncsis.2012.29. hal-00817701 HAL Id: hal-00817701 https://hal.archives-ouvertes.fr/hal-00817701 Submitted on 9 Jun 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives| 4.0 International License Citation: Oncogenesis (2012) 1, e30; doi:10.1038/oncsis.2012.29 & 2012 Macmillan Publishers Limited All rights reserved 2157-9024/12 www.nature.com/oncsis ORIGINAL ARTICLE DNA replication stress response involving PLK1, CDC6, POLQ, RAD51 and CLASPIN upregulation prognoses the outcome of early/mid-stage non-small cell lung cancer patients C Allera-Moreau1,2,7, I Rouquette2,7, B Lepage3, N Oumouhou3, M Walschaerts4, E Leconte5, V Schilling1, K Gordien2, L Brouchet2, MB Delisle1,2, J Mazieres1,2, JS Hoffmann1, P Pasero6 and C Cazaux1 Lung cancer is the leading cause of cancer deaths worldwide. -
Systematic Cpg Islands Methylation Profiling of Genes in the Wnt Pathway in Epithelial Ovarian Cancer Identifies Biomarkers of Progression-Free Survival
Published OnlineFirst April 1, 2011; DOI: 10.1158/1078-0432.CCR-10-3021 Clinical Cancer Imaging, Diagnosis, Prognosis Research Systematic CpG Islands Methylation Profiling of Genes in the Wnt Pathway in Epithelial Ovarian Cancer Identifies Biomarkers of Progression-Free Survival Wei Dai1, Jens M. Teodoridis1, Constanze Zeller1, Janet Graham1, Jenny Hersey3, James M. Flanagan1, Euan Stronach2, David W. Millan4, Nadeem Siddiqui5, Jim Paul6, and Robert Brown1,3 Abstract Purpose: Wnt pathways control key biological processes that potentially impact on tumor progression and patient survival. We aimed to evaluate DNA methylation at promoter CpG islands (CGI) of Wnt pathway genes in ovarian tumors at presentation and identify biomarkers of patient progression-free survival (PFS). Experimental Design: Epithelial ovarian tumors (screening study n ¼ 120, validation study n ¼ 61), prospectively collected through a cohort study, were analyzed by differential methylation hybridization at 302 loci spanning 189 promoter CGIs at 137 genes in Wnt pathways. The association of methylation and PFS was examined by Cox proportional hazards model. Results: DNA methylation is associated with PFS at 20 of 302 loci (P < 0.05, n ¼ 111), with 5 loci significant at false discovery rate (FDR) less than 10%. A total of 11 of 20 loci retain significance in an independent validation cohort (n ¼ 48, P 0.05, FDR 10%), and 7 of these loci, at FZD4, DVL1, NFATC3, ROCK1, LRP5, AXIN1, and NKD1 genes, are independent from clinical parameters (adjusted P < 0.05). Increased methylation at these loci associates with increased hazard of disease progression. A multivariate Cox model incorporates only NKD1 and DVL1, identifying two groups differing in PFS [HR ¼ 2.09; 95% CI (1.39–3.15); permutation test P < 0.005]. -
Multivariate Analysis Reveals Differentially Expressed Genes
www.nature.com/scientificreports OPEN Multivariate analysis reveals diferentially expressed genes among distinct subtypes of difuse astrocytic gliomas: diagnostic implications Nerea González‑García1,2, Ana Belén Nieto‑Librero1,2, Ana Luisa Vital3, Herminio José Tao4, María González‑Tablas2,5,6, Álvaro Otero2, Purifcación Galindo‑Villardón1,2, Alberto Orfao2,5,6 & María Dolores Tabernero2,5,6,7* Diagnosis and classifcation of gliomas mostly relies on histopathology and a few genetic markers. Here we interrogated microarray gene expression profles (GEP) of 268 difuse astrocytic gliomas—33 difuse astrocytomas (DA), 52 anaplastic astrocytomas (AA) and 183 primary glioblastoma (GBM)—based on multivariate analysis, to identify discriminatory GEP that might support precise histopathological tumor stratifcation, particularly among inconclusive cases with II–III grade diagnosed, which have diferent prognosis and treatment strategies. Microarrays based GEP was analyzed on 155 difuse astrocytic gliomas (discovery cohort) and validated in another 113 tumors (validation set) via sequential univariate analysis (pairwise comparison) for discriminatory gene selection, followed by nonnegative matrix factorization and canonical biplot for identifcation of discriminatory GEP among the distinct histological tumor subtypes. GEP data analysis identifed a set of 27 genes capable of diferentiating among distinct subtypes of gliomas that might support current histological classifcation. DA + AA showed similar molecular profles with only a few discriminatory genes -
Effects and Mechanisms of Eps8 on the Biological Behaviour of Malignant Tumours (Review)
824 ONCOLOGY REPORTS 45: 824-834, 2021 Effects and mechanisms of Eps8 on the biological behaviour of malignant tumours (Review) KAILI LUO1, LEI ZHANG2, YUAN LIAO1, HONGYU ZHOU1, HONGYING YANG2, MIN LUO1 and CHEN QING1 1School of Pharmaceutical Sciences and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan 650500; 2Department of Gynecology, Yunnan Tumor Hospital and The Third Affiliated Hospital of Kunming Medical University; Kunming, Yunnan 650118, P.R. China Received August 29, 2020; Accepted December 9, 2020 DOI: 10.3892/or.2021.7927 Abstract. Epidermal growth factor receptor pathway substrate 8 1. Introduction (Eps8) was initially identified as the substrate for the kinase activity of EGFR, improving the responsiveness of EGF, which Malignant tumours are uncontrolled cell proliferation diseases is involved in cell mitosis, differentiation and other physiological caused by oncogenes and ultimately lead to organ and body functions. Numerous studies over the last decade have demon- dysfunction (1). In recent decades, great progress has been strated that Eps8 is overexpressed in most ubiquitous malignant made in the study of genes and signalling pathways in tumours and subsequently binds with its receptor to activate tumorigenesis. Eps8 was identified by Fazioli et al in NIH-3T3 multiple signalling pathways. Eps8 not only participates in the murine fibroblasts via an approach that allows direct cloning regulation of malignant phenotypes, such as tumour proliferation, of intracellular substrates for receptor tyrosine kinases (RTKs) invasion, metastasis and drug resistance, but is also related to that was designed to study the EGFR signalling pathway. Eps8 the clinicopathological characteristics and prognosis of patients. -
Identification of Ovarian Cancer Gene Expression Patterns Associated
ORIG I NAL AR TI CLE JOURNALSECTION IdentifiCATION OF Ovarian Cancer Gene Expression PATTERNS Associated WITH Disease Progression AND Mortality Md. Ali Hossain1,2 | Sheikh Muhammad Saiful Islam3 | Julian Quinn4 | Fazlul Huq5 | Mohammad Ali Moni4,5 1Dept OF CSE, ManarAT International UnivERSITY, Dhaka-1212, Bangladesh Ovarian CANCER (OC) IS A COMMON CAUSE OF DEATH FROM can- 2Dept OF CSE, Jahangirnagar UnivERSITY, CER AMONG WOMEN worldwide, SO THERE IS A PRESSING NEED SaVAR, Dhaka, Bangladesh TO IDENTIFY FACTORS INflUENCING MORTALITY. Much OC PATIENT 3Dept. OF Pharmacy, ManarAT International UnivERSITY, Dhaka-1212, Bangladesh CLINICAL DATA IS NOW PUBLICALLY ACCESSIBLE (including PATIENT 4Bone BIOLOGY divisions, Garvan Institute OF age, CANCER SITE STAGE AND SUBTYPE), AS ARE LARGE DATASETS OF Medical Research, SyDNEY, NSW 2010, OC GENE TRANSCRIPTION PROfiles. These HAVE ENABLED STUDIES AustrALIA CORRELATING OC PATIENT SURVIVAL WITH CLINICAL VARIABLES AND 5The UnivERSITY OF SyDNEY, SyDNEY Medical School, School OF Medical Science, WITH GENE EXPRESSION BUT IT IS NOT WELL UNDERSTOOD HOW THESE Discipline OF Biomedical Sciences, NSW TWO ASPECTS INTERACT TO INflUENCE MORTALITY. TO STUDY THIS 1825, AustrALIA WE INTEGRATED CLINICAL AND TISSUE TRANSCRIPTOME DATA FROM Correspondence THE SAME PATIENTS AVAILABLE FROM THE Broad Institute Cancer Dept OF CSE, Jahangirnagar UnivERSITY, Dhaka, Bangladesh Genome Atlas (TCGA) portal. WE INVESTIGATED OC mRNA The UnivERSITY OF SyDNEY, SyDNEY Medical EXPRESSION LEVELS (relativE TO NORMAL PATIENT TISSUE) OF 26 School, School OF Medical Science, Discipline OF Biomedical Sciences, NSW GENES ALREADY STRONGLY IMPLICATED IN OC, ASSESSED HOW THEIR 1825, AustrALIA EXPRESSION IN OC TISSUE PREDICTS PATIENT SURVIVAL THEN em- Email: al i :hossai n@manarat :ac:bd , mohammad :moni @sydney :eduau PLOYED CoX Proportional Hazard REGRESSION MODELS TO anal- YSE BOTH CLINICAL FACTORS AND TRANSCRIPTOMIC INFORMATION TO FUNDING INFORMATION DETERMINE RELATIVE RISK OF DEATH ASSOCIATED WITH EACH FACTOR. -
Identification of Genomic Organisation, Sequence Variants and Analysis of the Role of the Human Dishevelled 1 Gene in Late Onset Alzheimer's Disease
Molecular Psychiatry (2002) 7, 104–109 2002 Nature Publishing Group All rights reserved 1359-4184/02 $15.00 www.nature.com/mp ORIGINAL RESEARCH ARTICLE Identification of genomic organisation, sequence variants and analysis of the role of the human dishevelled 1 gene in late onset Alzheimer’s disease C Russ, S Lovestone and JF Powell Department of Neuroscience, Institute of Psychiatry, London SE5 8AF, UK Keywords: polymorphism; genomic; DVL1; association; kinases, such as c-Jun N-terminal kinase (JNK), and SNP glycogen synthase kinase 3 beta (GSK3) have been Alzheimer’s disease (AD) is a disorder characterised by shown to phosphorylate tau in vitro, in cell at sites that a progressive deterioration in memory and other cogni- are phosphorylated in PHF.4–7 JNK and GSK3 are tive functions. Neurofibrillary tangles (NFT) are a major regulated by the dishevelled 1 gene (DVL1), the latter pathological hallmark of AD, these are aggregations of as part of the wnt signalling pathways.8–11 Activation paired helical filaments (PHF) comprised of the hyper- of the wnt signalling pathway is thought to cause DVL1 phosphorylated microtubule associated protein tau. to inactivate GSK3 through complex-formation with Several kinases, such as glycogen synthase kinase 3   adenomatous poliposis coli (APC), axin and -catenin beta (GSK3 ) and c-Jun N-terminal kinase (JNK), phos- proteins,8 whereas JNK is activated by DVL1.10,11 The phorylate tau at sites that are phosphorylated in PHF. Dishevelled 1 (DVL1) is thought to act as a positive mechanism by which this JNK activation occurs is regulator of the wnt signalling pathway, and inhibits unclear, however, it has been demonstrated that a DEP GSK3 activity preventing -catenin degradation and (dishevelled, egl-10 and pleckstrin) protein binding thus allowing wnt target gene expression. -
Characterization of Budding Yeast Orc6 : a Dimerization Domain Is
Characterization of the role of Orc6 in the cell cycle of the budding yeast Saccharomyces cerevisiae by Jeffrey W. Semple A thesis presented to the University of Waterloo in fulfilment of the thesis requirement for the degree of Doctor of Philosophy in Biology Waterloo, Ontario, Canada, 2006 © Jeffrey W. Semple 2006 I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required finalrevisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract The heterohexameric origin recognition complex (ORC) acts as a scaffold for the G1 phase assembly of pre-replicative complexes. Only the Orc1-5 subunits are required for origin binding in budding yeast, yet Orc6 is an essential protein for cell proliferation. In comparison to other eukaryotic Orc6 proteins, budding yeast Orc6 appears to be quite divergent. Two-hybrid analysis revealed that Orc6 only weakly interacts with other ORC subunits. In this assay Orc6 showed a strong ability to self-associate, although the significance of this dimerization or multimerization remains unclear. Imaging of Orc6- eYFP revealed a punctate sub-nuclear localization pattern throughout the cell cycle, representing the first visualization of replication foci in live budding yeast cells. Orc6 was not detected at the site of division between mother and daughter cells, in contrast to observations from metazoans. An essential role for Orc6 in DNA replication was identified by depleting the protein before and during G1 phase. Surprisingly, Orc6 was required for entry into S phase after pre-replicative complex formation, in contrast to what has been observed for other ORC subunits. -
"The Genecards Suite: from Gene Data Mining to Disease Genome Sequence Analyses". In: Current Protocols in Bioinformat
The GeneCards Suite: From Gene Data UNIT 1.30 Mining to Disease Genome Sequence Analyses Gil Stelzer,1,5 Naomi Rosen,1,5 Inbar Plaschkes,1,2 Shahar Zimmerman,1 Michal Twik,1 Simon Fishilevich,1 Tsippi Iny Stein,1 Ron Nudel,1 Iris Lieder,2 Yaron Mazor,2 Sergey Kaplan,2 Dvir Dahary,2,4 David Warshawsky,3 Yaron Guan-Golan,3 Asher Kohn,3 Noa Rappaport,1 Marilyn Safran,1 and Doron Lancet1,6 1Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel 2LifeMap Sciences Ltd., Tel Aviv, Israel 3LifeMap Sciences Inc., Marshfield, Massachusetts 4Toldot Genetics Ltd., Hod Hasharon, Israel 5These authors contributed equally to the paper 6Corresponding author GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene-disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next-generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It au- tomatically infers direct and indirect scored associations between hundreds or even thousands of variant-containing genes and disease phenotype terms. Var- Elect’s capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses. -
Transcriptomic and Epigenomic Characterization of the Developing Bat Wing
ARTICLES OPEN Transcriptomic and epigenomic characterization of the developing bat wing Walter L Eckalbar1,2,9, Stephen A Schlebusch3,9, Mandy K Mason3, Zoe Gill3, Ash V Parker3, Betty M Booker1,2, Sierra Nishizaki1,2, Christiane Muswamba-Nday3, Elizabeth Terhune4,5, Kimberly A Nevonen4, Nadja Makki1,2, Tara Friedrich2,6, Julia E VanderMeer1,2, Katherine S Pollard2,6,7, Lucia Carbone4,8, Jeff D Wall2,7, Nicola Illing3 & Nadav Ahituv1,2 Bats are the only mammals capable of powered flight, but little is known about the genetic determinants that shape their wings. Here we generated a genome for Miniopterus natalensis and performed RNA-seq and ChIP-seq (H3K27ac and H3K27me3) analyses on its developing forelimb and hindlimb autopods at sequential embryonic stages to decipher the molecular events that underlie bat wing development. Over 7,000 genes and several long noncoding RNAs, including Tbx5-as1 and Hottip, were differentially expressed between forelimb and hindlimb, and across different stages. ChIP-seq analysis identified thousands of regions that are differentially modified in forelimb and hindlimb. Comparative genomics found 2,796 bat-accelerated regions within H3K27ac peaks, several of which cluster near limb-associated genes. Pathway analyses highlighted multiple ribosomal proteins and known limb patterning signaling pathways as differentially regulated and implicated increased forelimb mesenchymal condensation in differential growth. In combination, our work outlines multiple genetic components that likely contribute to bat wing formation, providing insights into this morphological innovation. The order Chiroptera, commonly known as bats, is the only group of To characterize the genetic differences that underlie divergence in mammals to have evolved the capability of flight.