Identification of a Proteomic Signature of Senescence in Primary Human
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NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer
Florida International University FIU Digital Commons FIU Electronic Theses and Dissertations University Graduate School 11-7-2018 Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer Jairo Ramos [email protected] Follow this and additional works at: https://digitalcommons.fiu.edu/etd Part of the Clinical Epidemiology Commons Recommended Citation Ramos, Jairo, "Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer" (2018). FIU Electronic Theses and Dissertations. 3872. https://digitalcommons.fiu.edu/etd/3872 This work is brought to you for free and open access by the University Graduate School at FIU Digital Commons. It has been accepted for inclusion in FIU Electronic Theses and Dissertations by an authorized administrator of FIU Digital Commons. For more information, please contact [email protected]. FLORIDA INTERNATIONAL UNIVERSITY Miami, Florida DECIPHER MECHANISMS BY WHICH NUCLEAR RESPIRATORY FACTOR ONE (NRF1) COORDINATES CHANGES IN THE TRANSCRIPTIONAL AND CHROMATIN LANDSCAPE AFFECTING DEVELOPMENT AND PROGRESSION OF INVASIVE BREAST CANCER A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in PUBLIC HEALTH by Jairo Ramos 2018 To: Dean Tomás R. Guilarte Robert Stempel College of Public Health and Social Work This dissertation, Written by Jairo Ramos, and entitled Decipher Mechanisms by Which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer, having been approved in respect to style and intellectual content, is referred to you for judgment. -
13Q Deletion Syndrome Involving RB1: Characterization of a New Minimal Critical Region for Psychomotor Delay
G C A T T A C G G C A T genes Article 13q Deletion Syndrome Involving RB1: Characterization of a New Minimal Critical Region for Psychomotor Delay Flavia Privitera 1,2, Arianna Calonaci 3, Gabriella Doddato 1,2, Filomena Tiziana Papa 1,2, Margherita Baldassarri 1,2 , Anna Maria Pinto 4, Francesca Mari 1,2,4, Ilaria Longo 4, Mauro Caini 3, Daniela Galimberti 3, Theodora Hadjistilianou 5, Sonia De Francesco 5, Alessandra Renieri 1,2,4 and Francesca Ariani 1,2,4,* 1 Medical Genetics, University of Siena, 53100 Siena, Italy; fl[email protected] (F.P.); [email protected] (G.D.); fi[email protected] (F.T.P.); [email protected] (M.B.); [email protected] (F.M.); [email protected] (A.R.) 2 Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy 3 Unit of Pediatrics, Department of Maternal, Newborn and Child Health, Azienda Ospedaliera Universitaria Senese, Policlinico ‘Santa Maria alle Scotte’, 53100 Siena, Italy; [email protected] (A.C.); [email protected] (M.C.); [email protected] (D.G.) 4 Genetica Medica, Azienda Ospedaliera Universitaria Senese, 53100 Siena, Italy; [email protected] (A.M.P.); [email protected] (I.L.) 5 Unit of Ophthalmology and Retinoblastoma Referral Center, Department of Surgery, University of Siena, Policlinico ‘Santa Maria alle Scotte’, 53100 Siena, Italy; [email protected] (T.H.); [email protected] (S.D.F.) * Correspondence: [email protected]; Tel.: +39-057-723-3303 Citation: Privitera, F.; Calonaci, A.; Abstract: Retinoblastoma (RB) is an ocular tumor of the pediatric age caused by biallelic inactivation Doddato, G.; Papa, F.T.; Baldassarri, of the RB1 gene (13q14). -
Identification of EMT-Related High-Risk Stage II Colorectal Cancer And
www.nature.com/bjc ARTICLE Molecular Diagnostics Identification of EMT-related high-risk stage II colorectal cancer and characterisation of metastasis-related genes Kai Wang1, Kai Song1, Zhigang Ma2, Yang Yao2, Chao Liu2, Jing Yang1, Huiting Xiao1, Jiashuai Zhang1, Yanqiao Zhang2 and Wenyuan Zhao1 BACKGROUND: Our laboratory previously reported an individual-level prognostic signature for patients with stage II colorectal cancer (CRC). However, this signature was not applicable for RNA-sequencing datasets. In this study, we constructed a robust epithelial-to-mesenchymal transition (EMT)- related gene pair prognostic signature. METHODS: Based on EMT-related genes, metastasis-associated gene pairs were identified between metastatic and non-metastatic samples. Then, we selected prognosis-associated gene pairs, which were significantly correlated with disease-free survival of stage II CRC using multivariate Cox regression model, as the EMT-related prognosis signature. RESULTS: An EMT-related signature composed of fifty-one gene pairs (51-GPS) for prediction-relapse risk of patients with stage II CRC was developed, whose prognostic efficiency was validated in independent datasets. Moreover, 51-GPS achieved better predictive performance than other reported signatures, including a commercial signature Oncotype Dx colon cancer and an immune-related gene pair signature. Besides, EMT-related functional gene sets achieved high enrichment scores in high-risk samples. Especially, loss-of-function antisense approach showed that DEGs between the predicted two clusters were metastasis- related. CONCLUSIONS: The EMT-related gene pair signature can identify the high relapse-risk patients with stage II CRC, which can facilitate individualised management of patients. British Journal of Cancer (2020) 123:410–417; https://doi.org/10.1038/s41416-020-0902-y BACKGROUND greatly affected by the sampling locations10,11 and RNA degrada- Colorectal cancer (CRC) ranks third in terms of incidence, but tion problem during sample preparation12 of tumour tissues. -
What Do the Structures of GCN5-Containing Complexes Teach Us About Their Function? Dominique Helmlinger, Gábor Papai, Didier Devys, Làszlo Tora
What do the structures of GCN5-containing complexes teach us about their function? Dominique Helmlinger, Gábor Papai, Didier Devys, Làszlo Tora To cite this version: Dominique Helmlinger, Gábor Papai, Didier Devys, Làszlo Tora. What do the structures of GCN5- containing complexes teach us about their function?. Biochimica et Biophysica Acta - Gene Regulatory Mechanisms , Elsevier, 2020, pp.194614. 10.1016/j.bbagrm.2020.194614. hal-02990243 HAL Id: hal-02990243 https://hal.archives-ouvertes.fr/hal-02990243 Submitted on 5 Nov 2020 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 BBA - Gene Regulatory Mechanisms xxx (xxxx) xxxx Contents lists available at ScienceDirect BBA - Gene Regulatory Mechanisms journal homepage: www.elsevier.com/locate/bbagrm Review What do the structures of GCN5-containing complexes teach us about their ☆ function? ⁎ ⁎ Dominique Helmlingera, Gábor Papaib,c,d,e, Didier Devysb,c,d,e, , László Torab,c,d,e, a CRBM, University of Montpellier, CNRS, Montpellier, France b Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch, France c Centre National de la Recherche Scientifique (CNRS), UMR7104, 67404 Illkirch, France d Institut National de la Santé et de la Recherche Médicale (INSERM), U1258, 67404 Illkirch, France e Université de Strasbourg, 67404 Illkirch, France ARTICLE INFO ABSTRACT Keywords: Transcription initiation is a major regulatory step in eukaryotic gene expression. -
SUPPORTING INFORMATION for Regulation of Gene Expression By
SUPPORTING INFORMATION for Regulation of gene expression by the BLM helicase correlates with the presence of G4 motifs Giang Huong Nguyen1,2, Weiliang Tang3, Ana I. Robles1, Richard P. Beyer4, Lucas T. Gray5, Judith A. Welsh1, Aaron J. Schetter1, Kensuke Kumamoto1,6, Xin Wei Wang1, Ian D. Hickson2,7, Nancy Maizels5, 3,8 1 Raymond J. Monnat, Jr. and Curtis C. Harris 1Laboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, U.S.A; 2Department of Medical Oncology, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, U.K.; 3Department of Pathology, University of Washington, Seattle, WA U.S.A.; 4 Center for Ecogenetics and Environmental Health, University of Washington, Seattle, WA U.S.A.; 5Department of Immunology and Department of Biochemistry, University of Washington, Seattle, WA U.S.A.; 6Department of Organ Regulatory Surgery, Fukushima Medical University, Fukushima, Japan; 7Cellular and Molecular Medicine, Nordea Center for Healthy Aging, University of Copenhagen, Denmark; 8Department of Genome Sciences, University of WA, Seattle, WA U.S.A. SI Index: Supporting Information for this manuscript includes the following 19 items. A more detailed Materials and Methods section is followed by 18 Tables and Figures in order of their appearance in the manuscript text: 1) SI Materials and Methods 2) Figure S1. Study design and experimental workflow. 3) Figure S2. Immunoblot verification of BLM depletion from human fibroblasts. 4) Figure S3. PCA of mRNA and miRNA expression in BLM-depleted human fibroblasts. 5) Figure S4. qPCR confirmation of mRNA array data. 6) Table S1. BS patient and control detail. -
Α De Novo 3.8-Mb Inversion Affecting the EDA and XIST Genes in A
Escouflaire et al. BMC Genomics (2019) 20:715 https://doi.org/10.1186/s12864-019-6087-1 RESEARCH ARTICLE Open Access Α de novo 3.8-Mb inversion affecting the EDA and XIST genes in a heterozygous female calf with generalized hypohidrotic ectodermal dysplasia Clémentine Escouflaire1,2* , Emmanuelle Rebours1, Mathieu Charles1,3, Sébastien Orellana1, Margarita Cano1, Julie Rivière1,4, Cécile Grohs1, Hélène Hayes1 and Aurélien Capitan1,2* Abstract Background: In mammals, hypohidrotic ectodermal dysplasia (HED) is a genetic disorder that is characterized by sparse hair, tooth abnormalities, and defects in cutaneous glands. Only four genes, EDA, EDAR, EDARADD and WNT10A account for more than 90% of HED cases, and EDA, on chromosome X, is involved in 50% of the cases. In this study, we explored an isolated case of a female Holstein calf with symptoms similar to HED. Results: Clinical examination confirmed the diagnosis. The affected female showed homogeneous hypotrichosis and oligodontia as previously observed in bovine EDAR homozygous and EDA hemizygous mutants. Under light microscopy, the hair follicles were thinner and located higher in the dermis of the frontal skin in the affected animal than in the control. Moreover, the affected animal showed a five-fold increase in the number of hair follicles and a four-fold decrease in the diameter of the pilary canals. Pedigree analysis revealed that the coefficient of inbreeding of the affected calf (4.58%) was not higher than the average population inbreeding coefficient (4.59%). This animal had ten ancestors in its paternal and maternal lineages. By estimating the number of affected cases that would be expected if any of these common ancestors carried a recessive mutation, we concluded that, if they existed, other cases of HED should have been reported in France, which is not the case. -
Identification of Pathways Modulating Vemurafenib Resistance in Melanoma Cells Via a 2 Genome-Wide CRISPR/Cas9 Screen
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.11.198911; this version posted July 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Identification of pathways modulating Vemurafenib resistance in melanoma cells via a 2 genome-wide CRISPR/Cas9 screen 3 4 Corinna Jie Hui Goh1#, Jin Huei Wong1#, Chadi El Farran3, Ban Xiong Tan4, Cynthia Coffill2, 5 Yuin-Hain Loh3, David Lane2 and Prakash Arumugam1 6 7 8 9 10 11 Affiliations: 12 13 1. Bioinformatics Institute (BII), A*STAR, 30 Biopolis Street, #07-01 Matrix, 14 Singapore, 138671, Singapore 15 2. p53Lab, A*STAR, 8A Biomedical Grove, #06-04/05 Neuros/Immunos, Singapore, 16 138648, Singapore 17 3. Epigenetics and Cell Fates Laboratory, A*STAR Institute of Molecular and Cell 18 Biology, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore 19 4. Experimental Drug Development Centre, , A*STAR, 10 Biopolis Road, Chromos, 20 Singapore, 138670, Singapore 21 22 # these authors contributed equally to the work 23 *To whom the correspondence should be addressed. Email: [email protected] 24 25 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.11.198911; this version posted July 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 26 ABSTRACT 27 Vemurafenib is a BRAF kinase inhibitor (BRAFi) that is used to treat melanoma patients 28 harbouring the constitutively active BRAF-V600E mutation. -
Splicing Changes in SMA Mouse Motoneurons and SMN-Depleted Neuroblastoma Cells
RESEARCH PAPER RNA Biology 11:11, 1430--1446; November 2014; Published with license by Taylor & Francis Group, LLC Splicing changes in SMA mouse motoneurons and SMN-depleted neuroblastoma cells: Evidence for involvement of splicing regulatory proteins Qing Huo1,2, Melis Kayikci3, Philipp Odermatt1,2, Kathrin Meyer1,#, Olivia Michels1, Smita Saxena1,4, Jernej Ule3,C, and Daniel Schumperli€ 1,* 1Institute of Cell Biology; University of Bern; Bern, Switzerland; 2Graduate School for Cellular and Biomedical Sciences; University of Bern; Bern, Switzerland; 3MRC Laboratory of Molecular Biology; Cambridge, UK; 4Friedrich Miescher Institute for Biomedical Research; Basel, Switzerland Current affiliation: #Center for Gene Therapy; Nationwide Children’s Hospital; Columbus, OH USA;CDepartment of Molecular Neuroscience; UCL Institute of Neurology; London, UK Keywords: exon junction microarray, laser capture microdissection, major spliceosome, minor spliceosome, motoneurons, neurodegerative disease, snRNP assembly, Spinal Muscular Atrophy, splicing, splicing regulators Abbreviations: ESE, exonic splicing enhancer; FCS, fetal calf serum; hz, heterozygote, LCM; laser capture microdissection; MN, motoneuron; NMD, nonsense-mediated mRNA decay; NMJ, neuromuscular junction, PCR; polymerase chain reaction, qPCR; real-time (quantitative) PCR; RT, reverse transcription; sh, short hairpin; SMA, Spinal Muscular Atrophy; SMN, Survival Motor Neuron; snRNP, small nuclear ribonucleoprotein; snRNA, small nuclear ribonucleic acid; TcRb, T-cell receptor b chain. Spinal Muscular Atrophy (SMA) is caused by deletions or mutations in the Survival Motor Neuron 1 (SMN1) gene. The second gene copy, SMN2, produces some, but not enough, functional SMN protein. SMN is essential to assemble small nuclear ribonucleoproteins (snRNPs) that form the spliceosome. However, it is not clear whether SMA is caused by defects in this function that could lead to splicing changes in all tissues, or by the impairment of an additional, less well characterized, but motoneuron-specific SMN function. -
Demographic Histories and Genome-Wide Patterns of Divergence in Incipient Species of Shorebirds
Supplementary Material Demographic histories and genome-wide patterns of divergence in incipient species of shorebirds Xuejing Wang1§, Kathryn H. Maher2§, Nan Zhang1§, Pingjia Que3, Chenqing Zheng1,4, Simin Liu1, Biao Wang5, Qin Huang1, De Chen3, Xu Yang4, Zhengwang Zhang3, Tamás Székely2, Araxi O. Urrutia2,6*, Yang Liu1* 1. State Key Laboratory of Biocontrol, Department of Ecology, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P. R. China 2. Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK 3. Ministry of Education Key Laboratory for Biodiversity and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, P. R. China 4. Shenzhen Realomics Biological Technology Ltd, Shenzhen, 518000, P. R. China 5. Research Center of Precision Medicine, College of Life Sciences and Oceanography, Key laboratory of Optoelectronic Devices and System of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P. R. China 6. Instituto de Ecología, Universidad Nacional Autónoma de México, 04510 Ciudad de México, Mexico. Running title: Population genomics of two plover species Abbreviation: KP:Kentish plover (Charadrius alexandrinus) WFP: White-faced plover (Charadrius dealbatus) Supplementary Table 1 Sampling sites of KP and WFP Species site amount Yangjiang, 1 Guangdong* Qinghai Lake, Qinghai 2 Kentish plover Tangshan, Hebei 2 Lianyungang, Jiangsu 2 Rudong, Jiangsu 2 Zhoushan, Zhejiang 2 Minjiang Estuary, 2 Fuzhou, Fujian Xiamen, Fujian 1 White-faced Shanwei, Guangdong 2 plover Zhanjiang, Guangdong 2 Beihai, Guangxi 2 Dongfang, Hainan 2 Total 22 * The wintering female individual used for de novo sequencing. Supplementary Figure 1 Schematic overview of the different analyses of the study 1. -
Evidence for Involvement of Splicing Regulatory Proteins
RESEARCH PAPER RNA Biology 11:11, 1430--1446; November 2014; Published with license by Taylor & Francis Group, LLC Splicing changes in SMA mouse motoneurons and SMN-depleted neuroblastoma cells: Evidence for involvement of splicing regulatory proteins Qing Huo1,2, Melis Kayikci3, Philipp Odermatt1,2, Kathrin Meyer1,#, Olivia Michels1, Smita Saxena1,4, Jernej Ule3,C, and Daniel Schumperli€ 1,* 1Institute of Cell Biology; University of Bern; Bern, Switzerland; 2Graduate School for Cellular and Biomedical Sciences; University of Bern; Bern, Switzerland; 3MRC Laboratory of Molecular Biology; Cambridge, UK; 4Friedrich Miescher Institute for Biomedical Research; Basel, Switzerland Current affiliation: #Center for Gene Therapy; Nationwide Children’s Hospital; Columbus, OH USA;CDepartment of Molecular Neuroscience; UCL Institute of Neurology; London, UK Keywords: exon junction microarray, laser capture microdissection, major spliceosome, minor spliceosome, motoneurons, neurodegerative disease, snRNP assembly, Spinal Muscular Atrophy, splicing, splicing regulators Abbreviations: ESE, exonic splicing enhancer; FCS, fetal calf serum; hz, heterozygote, LCM; laser capture microdissection; MN, motoneuron; NMD, nonsense-mediated mRNA decay; NMJ, neuromuscular junction, PCR; polymerase chain reaction, qPCR; real-time (quantitative) PCR; RT, reverse transcription; sh, short hairpin; SMA, Spinal Muscular Atrophy; SMN, Survival Motor Neuron; snRNP, small nuclear ribonucleoprotein; snRNA, small nuclear ribonucleic acid; TcRb, T-cell receptor b chain. Spinal Muscular Atrophy (SMA) is caused by deletions or mutations in the Survival Motor Neuron 1 (SMN1) gene. The second gene copy, SMN2, produces some, but not enough, functional SMN protein. SMN is essential to assemble small nuclear ribonucleoproteins (snRNPs) that form the spliceosome. However, it is not clear whether SMA is caused by defects in this function that could lead to splicing changes in all tissues, or by the impairment of an additional, less well characterized, but motoneuron-specific SMN function. -
MDV) Reveals Major Candidate Genes and Variants
G C A T T A C G G C A T genes Article Mapping QTL Associated with Resistance to Avian Oncogenic Marek’s Disease Virus (MDV) Reveals Major Candidate Genes and Variants 1, 2 2 3 1, Jacqueline Smith * , Ehud Lipkin , Morris Soller , Janet E. Fulton and David W. Burt y 1 The Roslin Institute and Royal (Dick) School of Veterinary Studies R(D)SVS, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, UK; [email protected] 2 Department of Genetics, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, Jerusalem 91904, Israel; [email protected] (E.L.); [email protected] (M.S.) 3 Hy-Line International, P.O. Box 310, 2583 240th St., Dallas Center, IA 50063, USA; [email protected] * Correspondence: [email protected] Current address: Office of Deputy Vice-Chancellor (Research), University of Queensland, 306 Carmody y Road, St Lucia QLD 4072, Australia. Received: 2 August 2020; Accepted: 26 August 2020; Published: 30 August 2020 Abstract: Marek’s disease (MD) represents a significant global economic and animal welfare issue. Marek’s disease virus (MDV) is a highly contagious oncogenic and highly immune-suppressive α-herpes virus, which infects chickens, causing neurological effects and tumour formation. Though partially controlled by vaccination, MD continues to have a profound impact on animal health and on the poultry industry. Genetic selection provides an alternative and complementary method to vaccination. However, even after years of study, the genetic mechanisms underlying resistance to MDV remain poorly understood. -
Cenliau Thesis Final.Pdf (14.34Mb)
Application of second and third generation sequencing in pharmacogenetics A thesis submitted for the degree of Doctor of Philosophy in Pathology and Biomedical Science Yusmiati Liau University of Otago, Christchurch, New Zealand May 2020 Attribution of collaborative contributions to work in this thesis Chapter 3 The candidate carried out all laboratory work and bioinformatic analysis for nanopore sequencing with guidance from Dr Simone Cree (this laboratory). Dr Patrick A. Gladding (Theranostics Laboratory, Auckland, NZ) provided clinical samples with CYP2C19*2, CYP2C19*3, and CYP2C19*17 genotype information derived from Nanosphere Verigene® or Sequenom MassARRAY platform. Wubin Qu (iGeneTech Bioscience, Beijing, China) assisted with the primer design for multiplex assay using MFEprimer. Chapter 4 Dr Simran Maggo (this laboratory) consented all participants of the ADR biobanks. Dr Simran Maggo and Allison Miller (this laboratory) extracted the DNA samples. The candidate carried out all laboratory work and bioinformatic analysis on nanopore sequencing and some of the Sanger sequencing. Dr Simran Maggo performed some of the Sanger sequencing. Will Taylor (Department of Surgery, University of Otago, Christchurch) and Assoc. Prof John Pearson (Department of Pathology, University of Otago, Christchurch) helped with installation of several bioinformatic tools. Assoc. Prof John Pearson also helped with the statistics for detecting duplicated alleles. Chapter 5 Participants of the UDRUGS and GAARD biobank were consented by clinicians and nurses within the Clinical Pharmacology Department, University of Otago, Christchurch. Dr Simran Maggo and Allison Miller extracted the DNA samples. Dr Klaus Lehnert (School of Biological Sciences, The University of Auckland, NZ) processed the raw data and generated the final VCF files for WGS.