Frequent Nonrandom Activation of Germ-Line Genes in Human Cancer
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Genome-Wide Analyses on Single Disease Samples for Potential
Int. J. Biol. Sci. 2018, Vol. 14 833 Ivyspring International Publisher International Journal of Biological Sciences 2018; 14(8): 833-842. doi: 10.7150/ijbs.24816 Research Paper Genome-wide Analyses on Single Disease Samples for Potential Biomarkers and Biological Features of Molecular Subtypes: A Case Study in Gastric Cancer Wei Zeng1,2,3,5, Nini Rao1,2,3,4, Qian Li1,2,3, Guangbin Wang1,2,3, Dingyun Liu1,2,3, Zhengwen Li1,2,3, Yuntao Yang1,2,3 1. Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China. 2. School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China. 3. Key Laboratory for NeuroInformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China. 4. Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan, 523808, China. 5. Department of Biomedical Engineering, School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, 643000, China Corresponding author: © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2018.01.08; Accepted: 2018.03.06; Published: 2018.05.22 Abstract Purpose: Based on the previous 3 well-defined subtypes of gastric adenocarcinoma (invasive, proliferative and metabolic), we aimed to find potential biomarkers and biological features of each subtype. Methods: The genome-wide co-expression network of each subtype of gastric cancer was firstly constructed. -
Computational Genome-Wide Identification of Heat Shock Protein Genes in the Bovine Genome [Version 1; Peer Review: 2 Approved, 1 Approved with Reservations]
F1000Research 2018, 7:1504 Last updated: 08 AUG 2021 RESEARCH ARTICLE Computational genome-wide identification of heat shock protein genes in the bovine genome [version 1; peer review: 2 approved, 1 approved with reservations] Oyeyemi O. Ajayi1,2, Sunday O. Peters3, Marcos De Donato2,4, Sunday O. Sowande5, Fidalis D.N. Mujibi6, Olanrewaju B. Morenikeji2,7, Bolaji N. Thomas 8, Matthew A. Adeleke 9, Ikhide G. Imumorin2,10,11 1Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Nigeria 2International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA 3Department of Animal Science, Berry College, Mount Berry, GA, 30149, USA 4Departamento Regional de Bioingenierias, Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Queretaro, Mexico 5Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Nigeria 6Usomi Limited, Nairobi, Kenya 7Department of Animal Production and Health, Federal University of Technology, Akure, Nigeria 8Department of Biomedical Sciences, Rochester Institute of Technology, Rochester, NY, 14623, USA 9School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa 10School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30032, USA 11African Institute of Bioscience Research and Training, Ibadan, Nigeria v1 First published: 20 Sep 2018, 7:1504 Open Peer Review https://doi.org/10.12688/f1000research.16058.1 Latest published: 20 Sep 2018, 7:1504 https://doi.org/10.12688/f1000research.16058.1 Reviewer Status Invited Reviewers Abstract Background: Heat shock proteins (HSPs) are molecular chaperones 1 2 3 known to bind and sequester client proteins under stress. Methods: To identify and better understand some of these proteins, version 1 we carried out a computational genome-wide survey of the bovine 20 Sep 2018 report report report genome. -
Environmental Influences on Endothelial Gene Expression
ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community. -
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. -
Taf7l Cooperates with Trf2 to Regulate Spermiogenesis
Taf7l cooperates with Trf2 to regulate spermiogenesis Haiying Zhoua,b, Ivan Grubisicb,c, Ke Zhengd,e, Ying Heb, P. Jeremy Wangd, Tommy Kaplanf, and Robert Tjiana,b,1 aHoward Hughes Medical Institute and bDepartment of Molecular and Cell Biology, Li Ka Shing Center for Biomedical and Health Sciences, California Institute for Regenerative Medicine Center of Excellence, University of California, Berkeley, CA 94720; cUniversity of California Berkeley–University of California San Francisco Graduate Program in Bioengineering, University of California, Berkeley, CA 94720; dDepartment of Animal Biology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104; eState Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 210029, People’s Republic of China; and fSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel Contributed by Robert Tjian, September 11, 2013 (sent for review August 20, 2013) TATA-binding protein (TBP)-associated factor 7l (Taf7l; a paralogue (Taf4b; a homolog of Taf4) (9), TBP-related factor 2 (Trf2) (10, of Taf7) and TBP-related factor 2 (Trf2) are components of the core 11), and Taf7l (12, 13). For example, mice bearing mutant or promoter complex required for gene/tissue-specific transcription deficient CREM showed decreased postmeiotic gene expression of protein-coding genes by RNA polymerase II. Previous studies and defective spermiogenesis (14). Mice deficient in Taf4b, reported that Taf7l knockout (KO) mice exhibit structurally abnor- a testis-specific homolog of Taf4, are initially normal but undergo mal sperm, reduced sperm count, weakened motility, and compro- progressive germ-cell loss and become infertile by 3 mo of age −/Y mised fertility. -
Alterations of Genetic Variants and Transcriptomic Features of Response to Tamoxifen in the Breast Cancer Cell Line
Alterations of Genetic Variants and Transcriptomic Features of Response to Tamoxifen in the Breast Cancer Cell Line Mahnaz Nezamivand-Chegini Shiraz University Hamed Kharrati-Koopaee Shiraz University https://orcid.org/0000-0003-2345-6919 seyed taghi Heydari ( [email protected] ) Shiraz University of Medical Sciences https://orcid.org/0000-0001-7711-1137 Hasan Giahi Shiraz University Ali Dehshahri Shiraz University of Medical Sciences Mehdi Dianatpour Shiraz University of Medical Sciences Kamran Bagheri Lankarani Shiraz University of Medical Sciences Research Keywords: Tamoxifen, breast cancer, genetic variants, RNA-seq. Posted Date: August 17th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-783422/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/33 Abstract Background Breast cancer is one of the most important causes of mortality in the world, and Tamoxifen therapy is known as a medication strategy for estrogen receptor-positive breast cancer. In current study, two hypotheses of Tamoxifen consumption in breast cancer cell line (MCF7) were investigated. First, the effect of Tamoxifen on genes expression prole at transcriptome level was evaluated between the control and treated samples. Second, due to the fact that Tamoxifen is known as a mutagenic factor, there may be an association between the alterations of genetic variants and Tamoxifen treatment, which can impact on the drug response. Methods In current study, the whole-transcriptome (RNA-seq) dataset of four investigations (19 samples) were derived from European Bioinformatics Institute (EBI). At transcriptome level, the effect of Tamoxifen was investigated on gene expression prole between control and treatment samples. -
Co-Expression Module Analysis Reveals Biological Processes
Shi et al. BMC Systems Biology 2010, 4:74 http://www.biomedcentral.com/1752-0509/4/74 RESEARCH ARTICLE Open Access Co-expressionResearch article module analysis reveals biological processes, genomic gain, and regulatory mechanisms associated with breast cancer progression Zhiao Shi1,2, Catherine K Derow3 and Bing Zhang*3 Abstract Background: Gene expression signatures are typically identified by correlating gene expression patterns to a disease phenotype of interest. However, individual gene-based signatures usually suffer from low reproducibility and interpretability. Results: We have developed a novel algorithm Iterative Clique Enumeration (ICE) for identifying relatively independent maximal cliques as co-expression modules and a module-based approach to the analysis of gene expression data. Applying this approach on a public breast cancer dataset identified 19 modules whose expression levels were significantly correlated with tumor grade. The correlations were reproducible for 17 modules in an independent breast cancer dataset, and the reproducibility was considerably higher than that based on individual genes or modules identified by other algorithms. Sixteen out of the 17 modules showed significant enrichment in certain Gene Ontology (GO) categories. Specifically, modules related to cell proliferation and immune response were up-regulated in high- grade tumors while those related to cell adhesion was down-regulated. Further analyses showed that transcription factors NYFB, E2F1/E2F3, NRF1, and ELK1 were responsible for the up-regulation of the cell proliferation modules. IRF family and ETS family proteins were responsible for the up-regulation of the immune response modules. Moreover, inhibition of the PPARA signaling pathway may also play an important role in tumor progression. -
The Role of the X Chromosome in Embryonic and Postnatal Growth
The role of the X chromosome in embryonic and postnatal growth Daniel Mark Snell A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy of University College London. Francis Crick Institute/Medical Research Council National Institute for Medical Research University College London January 28, 2018 2 I, Daniel Mark Snell, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the work. Abstract Women born with only a single X chromosome (XO) have Turner syndrome (TS); and they are invariably of short stature. XO female mice are also small: during embryogenesis, female mice with a paternally-inherited X chromosome (XPO) are smaller than XX littermates; whereas during early postnatal life, both XPO and XMO (maternal) mice are smaller than their XX siblings. Here I look to further understand the genetic bases of these phenotypes, and potentially inform areas of future investigation into TS. Mouse pre-implantation embryos preferentially silence the XP via the non-coding RNA Xist.XPO embryos are smaller than XX littermates at embryonic day (E) 10.5, whereas XMO embryos are not. Two possible hypotheses explain this obser- vation. Inappropriate expression of Xist in XPO embryos may cause transcriptional silencing of the single X chromosome and result in embryos nullizygous for X gene products. Alternatively, there could be imprinted genes on the X chromosome that impact on growth and manifest in growth retarded XPO embryos. In contrast, dur- ing the first three weeks of postnatal development, both XPO and XMO mice show a growth deficit when compared with XX littermates. -
Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School July 2017 Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Pathology Commons Scholar Commons Citation Mohamed, Mai, "Role of Amylase in Ovarian Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6907 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Role of Amylase in Ovarian Cancer by Mai Mohamed A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Pathology and Cell Biology Morsani College of Medicine University of South Florida Major Professor: Patricia Kruk, Ph.D. Paula C. Bickford, Ph.D. Meera Nanjundan, Ph.D. Marzenna Wiranowska, Ph.D. Lauri Wright, Ph.D. Date of Approval: June 29, 2017 Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion Copyright © 2017, Mai Mohamed Dedication This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the importance of education, and, throughout my education, have been my strongest source of encouragement and support. They always believed in me and I am eternally grateful to them. I would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also like to thank my husband, Ahmed. -
Anti-CST8 Polyclonal Antibody Cat: K002485P Summary
Anti-CST8 Polyclonal Antibody Cat: K002485P Summary: 【Product name】: Anti-CST8 antibody 【Source】: Rabbit 【Isotype】: IgG 【Species reactivity】: Human Mouse 【Swiss Prot】: O60676 【Gene ID】: 10047 【Calculated】: MW:16kDa 【Observed】: MW:28kDa 【Purification】: Affinity purification 【Tested applications】: WB, IF 【Recommended dilution】: WB 1:500-2000. IF 1:50-200. 【WB Positive sample】: Mouse testis,Mouse liver 【Subcellular location】: Secreted 【Immunogen】: Recombinant protein of human CST8 【Storage】: Shipped at 4°C. Upon delivery aliquot and store at -20°C Background: The cystatin superfamily encompasses proteins that contain multiple cystatin-like sequences. Some of the members are active cysteine protease inhibitors, while others have lost or perhaps never acquired this inhibitory activity. There are three inhibitory families in the superfamily, including the type 1 cystatins (stefins), type 2 cystatins and the kininogens. The type 2 cystatin proteins are a class of cysteine proteinase inhibitors found in a variety of human fluids and secretions. The cystatin locus on chromosome 20 contains the majority of the type 2 cystatin genes and pseudogenes. This gene is located in the cystatin locus and encodes a protein similar to type 2 cystatins. The encoded protein exhibits highly tissue-specific expression in the reproductive tract, suggesting implicit roles in reproduction. Alternative splicing results in multiple transcript variants. Sales:[email protected] For research purposes only. Tech:[email protected] Please visit www.solarbio.com for a more product information Verified picture Western blot analysis with CST8 antibody diluted at 1:1000 Sales:[email protected] For research purposes only. Tech:[email protected] Please visit www.solarbio.com for a more product information. -
35Th International Society for Animal Genetics Conference 7
35th INTERNATIONAL SOCIETY FOR ANIMAL GENETICS CONFERENCE 7. 23.16 – 7.27. 2016 Salt Lake City, Utah ABSTRACT BOOK https://www.asas.org/meetings/isag2016 INVITED SPEAKERS S0100 – S0124 https://www.asas.org/meetings/isag2016 epigenetic modifications, such as DNA methylation, and measuring different proteins and cellular metab- INVITED SPEAKERS: FUNCTIONAL olites. These advancements provide unprecedented ANNOTATION OF ANIMAL opportunities to uncover the genetic architecture GENOMES (FAANG) ASAS-ISAG underlying phenotypic variation. In this context, the JOINT SYMPOSIUM main challenge is to decipher the flow of biological information that lies between the genotypes and phe- notypes under study. In other words, the new challenge S0100 Important lessons from complex genomes. is to integrate multiple sources of molecular infor- T. R. Gingeras* (Cold Spring Harbor Laboratory, mation (i.e., multiple layers of omics data to reveal Functional Genomics, Cold Spring Harbor, NY) the causal biological networks that underlie complex traits). It is important to note that knowledge regarding The ~3 billion base pairs of the human DNA rep- causal relationships among genes and phenotypes can resent a storage devise encoding information for be used to predict the behavior of complex systems, as hundreds of thousands of processes that can go on well as optimize management practices and selection within and outside a human cell. This information is strategies. Here, we describe a multi-step procedure revealed in the RNAs that are composed of 12 billion for inferring causal gene-phenotype networks underly- nucleotides, considering the strandedness and allelic ing complex phenotypes integrating multi-omics data. content of each of the diploid copies of the genome. -
CST8 Polyclonal Antibody Gene Summary: the Cystatin Superfamily Encompasses Proteins That Contain Multiple Cystatin-Like Sequences
CST8 polyclonal antibody Gene Summary: The cystatin superfamily encompasses proteins that contain multiple cystatin-like sequences. Catalog Number: PAB19022 Some of the members are active cysteine protease inhibitors, while others have lost or perhaps never Regulatory Status: For research use only (RUO) acquired this inhibitory activity. There are three inhibitory families in the superfamily, including the type 1 cystatins Product Description: Goat polyclonal antibody raised (stefins), type 2 cystatins and the kininogens. The type 2 against synthetic peptide of CST8. cystatin proteins are a class of cysteine proteinase inhibitors found in a variety of human fluids and Immunogen: A synthetic peptide corresponding to secretions. The cystatin locus on chromosome 20 amino acids 100-112 at internal region of human CST8. contains the majority of the type 2 cystatin genes and pseudogenes. This gene is located in the cystatin locus Sequence: STNEICAIQENSK and encodes a protein similar to type 2 cystatins. The Host: Goat protein exhibits highly tissue-specific expression in the reproductive tract, suggesting implicit roles in Theoretical MW (kDa): 23 reproduction. Alternative splicing identified in mouse is suggested in human based on EST evidence but the Reactivity: Human full-length nature of putative variants has not been determined. [provided by RefSeq] Applications: ELISA, WB-Tr (See our web site product page for detailed applications information) Protocols: See our web site at http://www.abnova.com/support/protocols.asp or product page for detailed protocols Form: Liquid Purification: Antigen affinity purification Concentration: 0.5 mg/mL Recommend Usage: ELISA (1:16000) Western Blot (1-3 ug/mL) The optimal working dilution should be determined by the end user.