Novel Insights Into Chromosomal Conformations in Cancer Ruobing Jia1,2†, Peiwei Chai1,2†, He Zhang1,2* and Xianqun Fan1,2*
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Copy Number Alterations of BCAS1 in Squamous Cell Carcinomas
The Korean Journal of Pathology 2011; 45: 271-275 DOI: 10.4132/KoreanJPathol.2011.45.3.271 Copy Number Alterations of BCAS1 in Squamous Cell Carcinomas Yu Im Kim · Ahwon Lee1 Background: Breast carcinoma amplified sequence 1 BCAS1( ), located in 20q13, is amplified and Jennifer Kim · Bum Hee Lee overexpressed in breast cancers. Even though BCAS1 is expected to be an oncogene candidate, Sung Hak Lee · Suk Woo Nam its contribution to tumorigenesis and copy number status in other malignancies is not reported. To elucidate the role of BCAS1 in squamous cell carcinomas, we investigated the copy number Sug Hyung Lee · Won Sang Park status and expression level of BCAS1 in several squamous cell carcinoma cell lines, normal kera- Nam Jin Yoo · Jung Young Lee tinocytes and primary tumors. Methods: We quantitated BCAS1 gene by real-time polymerase Sang Ho Kim · Su Young Kim chain reaction (PCR). Expression level of BCAS1 was measured by real-time reverse transcrip- tion-PCR and immunoblot. Results: Seven (88%) of 8 squamous cell carcinoma cell lines showed Departments of Pathology and 1Hospital copy number gain of BCAS1 with various degrees. BCAS1 gene in primary tumors (73%) also Pathology, The Catholic University of Korea showed copy number gain. However, expression level did not show a linear correlation with copy College of Medicine, Seoul, Korea number changes. Conclusions: We identified copy number gain of BCAS1 in squamous cell car- cinomas. Due to lack of linear correlation between copy numbers of BCAS1 and its expression Received: March 10, 2010 level, we could not confirm that the overexpression of BCAS1 is a common finding in squamous Accepted: May 24, 2011 cell carcinoma cell lines. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
The N-Cadherin Interactome in Primary Cardiomyocytes As Defined Using Quantitative Proximity Proteomics Yang Li1,*, Chelsea D
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs221606. doi:10.1242/jcs.221606 TOOLS AND RESOURCES The N-cadherin interactome in primary cardiomyocytes as defined using quantitative proximity proteomics Yang Li1,*, Chelsea D. Merkel1,*, Xuemei Zeng2, Jonathon A. Heier1, Pamela S. Cantrell2, Mai Sun2, Donna B. Stolz1, Simon C. Watkins1, Nathan A. Yates1,2,3 and Adam V. Kwiatkowski1,‡ ABSTRACT requires multiple adhesion, cytoskeletal and signaling proteins, The junctional complexes that couple cardiomyocytes must transmit and mutations in these proteins can cause cardiomyopathies (Ehler, the mechanical forces of contraction while maintaining adhesive 2018). However, the molecular composition of ICD junctional homeostasis. The adherens junction (AJ) connects the actomyosin complexes remains poorly defined. – networks of neighboring cardiomyocytes and is required for proper The core of the AJ is the cadherin catenin complex (Halbleib and heart function. Yet little is known about the molecular composition of the Nelson, 2006; Ratheesh and Yap, 2012). Classical cadherins are cardiomyocyte AJ or how it is organized to function under mechanical single-pass transmembrane proteins with an extracellular domain that load. Here, we define the architecture, dynamics and proteome of mediates calcium-dependent homotypic interactions. The adhesive the cardiomyocyte AJ. Mouse neonatal cardiomyocytes assemble properties of classical cadherins are driven by the recruitment of stable AJs along intercellular contacts with organizational and cytosolic catenin proteins to the cadherin tail, with p120-catenin β structural hallmarks similar to mature contacts. We combine (CTNND1) binding to the juxta-membrane domain and -catenin β quantitative mass spectrometry with proximity labeling to identify the (CTNNB1) binding to the distal part of the tail. -
Views of the NIH
CLINICAL EPIDEMIOLOGY www.jasn.org Genetic Variants Associated with Circulating Fibroblast Growth Factor 23 Cassianne Robinson-Cohen ,1 Traci M. Bartz,2 Dongbing Lai,3 T. Alp Ikizler,1 Munro Peacock,4 Erik A. Imel,4 Erin D. Michos,5 Tatiana M. Foroud,3 Kristina Akesson,6,7 Kent D. Taylor,8 Linnea Malmgren,6,7 Kunihiro Matsushita,5,9,10 Maria Nethander,11 Joel Eriksson,12 Claes Ohlsson,12 Daniel Mellström,12 Myles Wolf,13 Osten Ljunggren,14 Fiona McGuigan,6,7 Jerome I. Rotter,8 Magnus Karlsson,6,7 Michael J. Econs,3,4 Joachim H. Ix,15,16 Pamela L. Lutsey,17 Bruce M. Psaty,18,19 Ian H. de Boer ,20 and Bryan R. Kestenbaum 20 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Fibroblast growth factor 23 (FGF23), a bone-derived hormone that regulates phosphorus and vitamin D metabolism, contributes to the pathogenesis of mineral and bone disorders in CKD and is an emerging cardiovascular risk factor. Central elements of FGF23 regulation remain incompletely under- stood; genetic variation may help explain interindividual differences. Methods We performed a meta-analysis of genome-wide association studies of circulating FGF23 con- centrations among 16,624 participants of European ancestry from seven cohort studies, excluding par- ticipants with eGFR,30 ml/min per 1.73 m2 to focus on FGF23 under normal conditions. We evaluated the association of single-nucleotide polymorphisms (SNPs) with natural log–transformed FGF23 concentra- tion, adjusted for age, sex, study site, and principal components of ancestry. -
Coordinate Regulation of Long Non-Coding Rnas and Protein-Coding Genes in Germ- Free Mice Joseph Dempsey, Angela Zhang and Julia Yue Cui*
Dempsey et al. BMC Genomics (2018) 19:834 https://doi.org/10.1186/s12864-018-5235-3 RESEARCHARTICLE Open Access Coordinate regulation of long non-coding RNAs and protein-coding genes in germ- free mice Joseph Dempsey, Angela Zhang and Julia Yue Cui* Abstract Background: Long non-coding RNAs (lncRNAs) are increasingly recognized as regulators of tissue-specific cellular functions and have been shown to regulate transcriptional and translational processes, acting as signals, decoys, guides, and scaffolds. It has been suggested that some lncRNAs act in cis to regulate the expression of neighboring protein-coding genes (PCGs) in a mechanism that fine-tunes gene expression. Gut microbiome is increasingly recognized as a regulator of development, inflammation, host metabolic processes, and xenobiotic metabolism. However, there is little known regarding whether the gut microbiome modulates lncRNA gene expression in various host metabolic organs. The goals of this study were to 1) characterize the tissue-specific expression of lncRNAs and 2) identify and annotate lncRNAs differentially regulated in the absence of gut microbiome. Results: Total RNA was isolated from various tissues (liver, duodenum, jejunum, ileum, colon, brown adipose tissue, white adipose tissue, and skeletal muscle) from adult male conventional and germ-free mice (n = 3 per group). RNA-Seq was conducted and reads were mapped to the mouse reference genome (mm10) using HISAT. Transcript abundance and differential expression was determined with Cufflinks using the reference databases NONCODE 2016 for lncRNAs and UCSC mm10 for PCGs. Although the constitutive expression of lncRNAs was ubiquitous within the enterohepatic (liver and intestine) and the peripheral metabolic tissues (fat and muscle) in conventional mice, differential expression of lncRNAs by lack of gut microbiota was highly tissue specific. -
Small Nucleolar Rnas Determine Resistance to Doxorubicin in Human Osteosarcoma
International Journal of Molecular Sciences Article Small Nucleolar RNAs Determine Resistance to Doxorubicin in Human Osteosarcoma Martina Godel 1, Deborah Morena 1, Preeta Ananthanarayanan 1, Ilaria Buondonno 1, Giulio Ferrero 2,3 , Claudia M. Hattinger 4, Federica Di Nicolantonio 1,5 , Massimo Serra 4 , 1 2 1, , 1, , Riccardo Taulli , Francesca Cordero , Chiara Riganti * y and Joanna Kopecka * y 1 Department of Oncology, University of Torino, 1026 Torino, Italy; [email protected] (M.G.); [email protected] (D.M.); [email protected] (P.A.); [email protected] (I.B.); [email protected] (F.D.N.); [email protected] (R.T.) 2 Department of Computer Science, University of Torino, 10149 Torino, Italy; [email protected] (G.F.); [email protected] (F.C.) 3 Department of Clinical and Biological Sciences, University of Torino, 10043 Orbassano, Italy 4 Laboratory of Experimental Oncology, Pharmacogenomics and Pharmacogenetics Research Unit, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; [email protected] (C.M.H.); [email protected] (M.S.) 5 Candiolo Cancer Institute, FPO–IRCCS, 10060 Candiolo, Italy * Correspondence: [email protected] (C.R.); [email protected] (J.K.); Tel.: +39-0116705857 (C.R.); +39-0116705849 (J.K.) These authors equally contributed to this work. y Received: 31 May 2020; Accepted: 21 June 2020; Published: 24 June 2020 Abstract: Doxorubicin (Dox) is one of the most important first-line drugs used in osteosarcoma therapy. Multiple and not fully clarified mechanisms, however, determine resistance to Dox. With the aim of identifying new markers associated with Dox-resistance, we found a global up-regulation of small nucleolar RNAs (snoRNAs) in human Dox-resistant osteosarcoma cells. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Molecular Effects of Isoflavone Supplementation Human Intervention Studies and Quantitative Models for Risk Assessment
Molecular effects of isoflavone supplementation Human intervention studies and quantitative models for risk assessment Vera van der Velpen Thesis committee Promotors Prof. Dr Pieter van ‘t Veer Professor of Nutritional Epidemiology Wageningen University Prof. Dr Evert G. Schouten Emeritus Professor of Epidemiology and Prevention Wageningen University Co-promotors Dr Anouk Geelen Assistant professor, Division of Human Nutrition Wageningen University Dr Lydia A. Afman Assistant professor, Division of Human Nutrition Wageningen University Other members Prof. Dr Jaap Keijer, Wageningen University Dr Hubert P.J.M. Noteborn, Netherlands Food en Consumer Product Safety Authority Prof. Dr Yvonne T. van der Schouw, UMC Utrecht Dr Wendy L. Hall, King’s College London This research was conducted under the auspices of the Graduate School VLAG (Advanced studies in Food Technology, Agrobiotechnology, Nutrition and Health Sciences). Molecular effects of isoflavone supplementation Human intervention studies and quantitative models for risk assessment Vera van der Velpen Thesis submitted in fulfilment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. Dr M.J. Kropff, in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Friday 20 June 2014 at 13.30 p.m. in the Aula. Vera van der Velpen Molecular effects of isoflavone supplementation: Human intervention studies and quantitative models for risk assessment 154 pages PhD thesis, Wageningen University, Wageningen, NL (2014) With references, with summaries in Dutch and English ISBN: 978-94-6173-952-0 ABSTRact Background: Risk assessment can potentially be improved by closely linked experiments in the disciplines of epidemiology and toxicology. -
Candidate Gene Resequencing to Identify Rare, Pedigree-Specific Variants Influencing Healthy Aging Phenotypes in the Long Life Family Study Todd E
Druley et al. BMC Geriatrics (2016) 16:80 DOI 10.1186/s12877-016-0253-y RESEARCH ARTICLE Open Access Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study Todd E. Druley1,2, Lihua Wang1,3, Shiow J. Lin1,3, Joseph H. Lee4,5,6, Qunyuan Zhang1,3, E. Warwick Daw1,3, Haley J. Abel1,3, Sara E. Chasnoff1,2, Enrique I. Ramos1,2, Benjamin T. Levinson1,2, Bharat Thyagarajan7, Anne B. Newman8, Kaare Christensen9, Richard Mayeux10 and Michael A. Province1,3* Abstract Background: The Long Life Family Study (LLFS) is an international study to identify the genetic components of various healthy aging phenotypes. We hypothesized that pedigree-specific rare variants at longevity-associated genes could have a similar functional impact on healthy phenotypes. Methods: We performed custom hybridization capture sequencing to identify the functional variants in 464 candidate genes for longevity or the major diseases of aging in 615 pedigrees (4,953 individuals) from the LLFS, using a multiplexed, custom hybridization capture. Variants were analyzed individually or as a group across an entire gene for association to aging phenotypes using family based tests. Results: We found significant associations to three genes and nine single variants. Most notably, we found a novel variant significantly associated with exceptional survival in the 3’ UTR OBFC1 in 13 individuals from six pedigrees. OBFC1 (chromosome 10) is involved in telomere maintenance, and falls within a linkage peak recently reported from an analysis of telomere length in LLFS families. Two different algorithms for single gene associations identified three genes with an enrichment of variation that was significantly associated with three phenotypes (GSK3B with the Healthy Aging Index, NOTCH1 with diastolic blood pressure and TP53 with serum HDL). -
Further Evidence of Involvement of TMEM132E in Autosomal Recessive Nonsyndromic Hearing Impairment
Journal of Human Genetics (2020) 65:187–192 https://doi.org/10.1038/s10038-019-0691-4 BRIEF COMMUNICATION Further evidence of involvement of TMEM132E in autosomal recessive nonsyndromic hearing impairment 1,2 1,2 3 4 2,5 Khurram Liaqat ● Shabir Hussain ● Muhammad Bilal ● Abdul Nasir ● Anushree Acharya ● 3,6 1 7 2,5 3 Raja Hussain Ali ● Shoaib Nawaz ● Muhammad Umair ● Isabelle Schrauwen ● Wasim Ahmad ● Suzanne M. Leal2,5 Received: 17 July 2019 / Revised: 1 October 2019 / Accepted: 9 October 2019 / Published online: 28 October 2019 © The Author(s) 2019. This article is published with open access, corrected publication 2021 Abstract Autosomal-recessive (AR) nonsyndromic hearing impairment (NSHI) displays a high degree of genetic heterogeneity with >100 genes identified. Recently, TMEM132E, which is highly expressed in inner hair cells, was suggested as a novel ARNSHI gene for DFNB99. A missense variant c.1259G>A: p.(Arg420Gln) in TMEM132E was identified that segregated with ARNSHI in a single Chinese family with two affected members. In the present study, a family of Pakistani origin with prelingual profound sensorineural hearing impairment displaying AR mode of inheritance was investigated via exome and 1234567890();,: 1234567890();,: Sanger sequencing. Compound heterozygous variants c.382G>T: p.(Ala128Ser) and c.2204C>T: p.(Pro735Leu) in TMEM132E were observed in affected but not in unaffected family members. TMEM132E variants identified in this and the previously reported ARNSHI family are located in the extracellular domain. In conclusion, we present a second ARNSHI family with TMEM132E variants which strengthens the evidence of the involvement of this gene in the etiology of ARNSHI. -
Distinct Gene Expression Patterns in a Tamoxifen-Sensitive Human Mammary Carcinoma Xenograft and Its Tamoxifen-Resistant Subline Maca 3366/TAM
Molecular Cancer Therapeutics 151 Distinct gene expression patterns in a tamoxifen-sensitive human mammary carcinoma xenograft and its tamoxifen-resistant subline MaCa 3366/TAM Michael Becker,1 Anette Sommer,2 of acquired tamoxifen resistance. Finally, genes whose Jo¨rn R. Kra¨tzschmar,2 Henrik Seidel,2 expression profiles are distinctly changed between the Hans-Dieter Pohlenz,2 and Iduna Fichtner1 two xenograft lines will be further evaluated as potential targets for diagnostic or therapeutic approaches of 1 Max-Delbrueck-Center for Molecular Medicine, Experimental tamoxifen-resistant breast cancer. [Mol Cancer Ther Pharmacology, and 2Research Laboratories, Schering AG, Berlin, Germany 2005;4(1):151–68] Abstract Introduction The reasons why human mammary tumors become Breast cancer is the most common type of cancer in women resistant to tamoxifen therapy are mainly unknown. of the Western world. Due to advances in early detection Changes in gene expression may occur as cells acquire and treatment, breast cancer survival rates have increased resistance to antiestrogens. We therefore undertook a com- markedly over the past decades. After surgery, estrogen parative gene expression analysis of tamoxifen-sensitive receptor a (ERa)–positive breast cancer is usually treated and tamoxifen-resistant human breast cancer in vivo with endocrine therapy. Tamoxifen, a nonsteroidal anti- models using Affymetrix oligonucleotide arrays to analyze estrogen, also termed selective estrogen receptor modula- differential gene expression. Total RNAs from the tamox- tor, is the first-line therapy for premenopausal and, until ifen-sensitive patient-derived mammary carcinoma xeno- recently, also for postmenopausal hormone receptor– graft MaCa 3366 and the tamoxifen-resistant model MaCa positive women (1).