Transcriptional Regulation of RKIP in Prostate Cancer Progression
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Whole Brain and Brain Regional Coexpression Network Interactions Associated with Predisposition to Alcohol Consumption Lauren A
Virginia Commonwealth University VCU Scholars Compass Study of Biological Complexity Publications Center for the Study of Biological Complexity 2013 Whole Brain and Brain Regional Coexpression Network Interactions Associated with Predisposition to Alcohol Consumption Lauren A. Vanderlinden University of Colorado at Aurora Laura M. Saba University of Colorado at Aurora Katerina Kechris University of Colorado at Aurora See next page for additional authors Follow this and additional works at: http://scholarscompass.vcu.edu/csbc_pubs Part of the Life Sciences Commons © 2013 Vanderlinden et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Downloaded from http://scholarscompass.vcu.edu/csbc_pubs/24 This Article is brought to you for free and open access by the Center for the Study of Biological Complexity at VCU Scholars Compass. It has been accepted for inclusion in Study of Biological Complexity Publications by an authorized administrator of VCU Scholars Compass. For more information, please contact [email protected]. Authors Lauren A. Vanderlinden, Laura M. Saba, Katerina Kechris, Michael F. Miles, Paula L. Hoffman, and Boris Tabakoff This article is available at VCU Scholars Compass: http://scholarscompass.vcu.edu/csbc_pubs/24 Whole Brain and Brain Regional Coexpression Network Interactions Associated with Predisposition to Alcohol Consumption Lauren -
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources Chung-Feng Kao1, Yu-Sheng Fang2, Zhongming Zhao3, Po-Hsiu Kuo1,2,4* 1 Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan, 2 Institute of Clinical Medicine, School of Medicine, National Cheng-Kung University, Tainan, Taiwan, 3 Departments of Biomedical Informatics and Psychiatry, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 4 Research Center for Genes, Environment and Human Health, National Taiwan University, Taipei, Taiwan Abstract Background: Large scale and individual genetic studies have suggested numerous susceptible genes for depression in the past decade without conclusive results. There is a strong need to review and integrate multi-dimensional data for follow up validation. The present study aimed to apply prioritization procedures to build-up an evidence-based candidate genes dataset for depression. Methods: Depression candidate genes were collected in human and animal studies across various data resources. Each gene was scored according to its magnitude of evidence related to depression and was multiplied by a source-specific weight to form a combined score measure. All genes were evaluated through a prioritization system to obtain an optimal weight matrix to rank their relative importance with depression using the combined scores. The resulting candidate gene list for depression (DEPgenes) was further evaluated by a genome-wide association (GWA) dataset and microarray gene expression in human tissues. Results: A total of 5,055 candidate genes (4,850 genes from human and 387 genes from animal studies with 182 being overlapped) were included from seven data sources. -
Bioinformatic Analyses of Integral Membrane Transport Proteins Encoded Within the Genome of the Planctomycetes Species, Rhodopirellula Baltica
UC San Diego UC San Diego Previously Published Works Title Bioinformatic analyses of integral membrane transport proteins encoded within the genome of the planctomycetes species, Rhodopirellula baltica. Permalink https://escholarship.org/uc/item/0f85q1z7 Journal Biochimica et biophysica acta, 1838(1 Pt B) ISSN 0006-3002 Authors Paparoditis, Philipp Västermark, Ake Le, Andrew J et al. Publication Date 2014 DOI 10.1016/j.bbamem.2013.08.007 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Biochimica et Biophysica Acta 1838 (2014) 193–215 Contents lists available at ScienceDirect Biochimica et Biophysica Acta journal homepage: www.elsevier.com/locate/bbamem Bioinformatic analyses of integral membrane transport proteins encoded within the genome of the planctomycetes species, Rhodopirellula baltica Philipp Paparoditis a, Åke Västermark a,AndrewJ.Lea, John A. Fuerst b, Milton H. Saier Jr. a,⁎ a Department of Molecular Biology, Division of Biological Sciences, University of California at San Diego, La Jolla, CA, 92093–0116, USA b School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland, 9072, Australia article info abstract Article history: Rhodopirellula baltica (R. baltica) is a Planctomycete, known to have intracellular membranes. Because of its un- Received 12 April 2013 usual cell structure and ecological significance, we have conducted comprehensive analyses of its transmembrane Received in revised form 8 August 2013 transport proteins. The complete proteome of R. baltica was screened against the Transporter Classification Data- Accepted 9 August 2013 base (TCDB) to identify recognizable integral membrane transport proteins. 342 proteins were identified with a Available online 19 August 2013 high degree of confidence, and these fell into several different classes. -
Proteomic Analysis of the Venom of Jellyfishes Rhopilema Esculentum and Sanderia Malayensis
marine drugs Article Proteomic Analysis of the Venom of Jellyfishes Rhopilema esculentum and Sanderia malayensis 1, 2, 2 2, Thomas C. N. Leung y , Zhe Qu y , Wenyan Nong , Jerome H. L. Hui * and Sai Ming Ngai 1,* 1 State Key Laboratory of Agrobiotechnology, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China; [email protected] 2 Simon F.S. Li Marine Science Laboratory, State Key Laboratory of Agrobiotechnology, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China; [email protected] (Z.Q.); [email protected] (W.N.) * Correspondence: [email protected] (J.H.L.H.); [email protected] (S.M.N.) Contributed equally. y Received: 27 November 2020; Accepted: 17 December 2020; Published: 18 December 2020 Abstract: Venomics, the study of biological venoms, could potentially provide a new source of therapeutic compounds, yet information on the venoms from marine organisms, including cnidarians (sea anemones, corals, and jellyfish), is limited. This study identified the putative toxins of two species of jellyfish—edible jellyfish Rhopilema esculentum Kishinouye, 1891, also known as flame jellyfish, and Amuska jellyfish Sanderia malayensis Goette, 1886. Utilizing nano-flow liquid chromatography tandem mass spectrometry (nLC–MS/MS), 3000 proteins were identified from the nematocysts in each of the above two jellyfish species. Forty and fifty-one putative toxins were identified in R. esculentum and S. malayensis, respectively, which were further classified into eight toxin families according to their predicted functions. Amongst the identified putative toxins, hemostasis-impairing toxins and proteases were found to be the most dominant members (>60%). -
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. -
Identification of the Binding Partners for Hspb2 and Cryab Reveals
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2013-12-12 Identification of the Binding arP tners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non- Redundant Roles for Small Heat Shock Proteins Kelsey Murphey Langston Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Microbiology Commons BYU ScholarsArchive Citation Langston, Kelsey Murphey, "Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins" (2013). Theses and Dissertations. 3822. https://scholarsarchive.byu.edu/etd/3822 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Julianne H. Grose, Chair William R. McCleary Brian Poole Department of Microbiology and Molecular Biology Brigham Young University December 2013 Copyright © 2013 Kelsey Langston All Rights Reserved ABSTRACT Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactors and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston Department of Microbiology and Molecular Biology, BYU Master of Science Small Heat Shock Proteins (sHSP) are molecular chaperones that play protective roles in cell survival and have been shown to possess chaperone activity. -
Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
Nuclear Organization and the Epigenetic Landscape of the Mus Musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected]
University of Connecticut OpenCommons@UConn Doctoral Dissertations University of Connecticut Graduate School 8-9-2019 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected] Follow this and additional works at: https://opencommons.uconn.edu/dissertations Recommended Citation Liu, Alicia, "Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome" (2019). Doctoral Dissertations. 2273. https://opencommons.uconn.edu/dissertations/2273 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia J. Liu, Ph.D. University of Connecticut, 2019 ABSTRACT X-linked imprinted genes have been hypothesized to contribute parent-of-origin influences on social cognition. A cluster of imprinted genes Xlr3b, Xlr4b, and Xlr4c, implicated in cognitive defects, are maternally expressed and paternally silent in the murine brain. These genes defy classic mechanisms of autosomal imprinting, suggesting a novel method of imprinted gene regulation. Using Xlr3b and Xlr4c as bait, this study uses 4C-Seq on neonatal whole brain of a 39,XO mouse model, to provide the first in-depth analysis of chromatin dynamics surrounding an imprinted locus on the X-chromosome. Significant differences in long-range contacts exist be- tween XM and XP monosomic samples. In addition, XM interaction profiles contact a greater number of genes linked to cognitive impairment, abnormality of the nervous system, and abnormality of higher mental function. This is not a pattern that is unique to the imprinted Xlr3/4 locus. Additional Alicia J. Liu - University of Connecticut - 2019 4C-Seq experiments show that other genes on the X-chromosome, implicated in intellectual disability and/or ASD, also produce more maternal contacts to other X-linked genes linked to cognitive impairment. -
Ageing-Associated Changes in DNA Methylation in X and Y Chromosomes
Kananen and Marttila Epigenetics & Chromatin (2021) 14:33 Epigenetics & Chromatin https://doi.org/10.1186/s13072-021-00407-6 RESEARCH Open Access Ageing-associated changes in DNA methylation in X and Y chromosomes Laura Kananen1,2,3,4* and Saara Marttila4,5* Abstract Background: Ageing displays clear sexual dimorphism, evident in both morbidity and mortality. Ageing is also asso- ciated with changes in DNA methylation, but very little focus has been on the sex chromosomes, potential biological contributors to the observed sexual dimorphism. Here, we sought to identify DNA methylation changes associated with ageing in the Y and X chromosomes, by utilizing datasets available in data repositories, comprising in total of 1240 males and 1191 females, aged 14–92 years. Results: In total, we identifed 46 age-associated CpG sites in the male Y, 1327 age-associated CpG sites in the male X, and 325 age-associated CpG sites in the female X. The X chromosomal age-associated CpGs showed signifcant overlap between females and males, with 122 CpGs identifed as age-associated in both sexes. Age-associated X chro- mosomal CpGs in both sexes were enriched in CpG islands and depleted from gene bodies and showed no strong trend towards hypermethylation nor hypomethylation. In contrast, the Y chromosomal age-associated CpGs were enriched in gene bodies, and showed a clear trend towards hypermethylation with age. Conclusions: Signifcant overlap in X chromosomal age-associated CpGs identifed in males and females and their shared features suggest that despite the uneven chromosomal dosage, diferences in ageing-associated DNA methylation changes in the X chromosome are unlikely to be a major contributor of sex dimorphism in ageing. -
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. -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
Extensive Genomic and Transcriptional Diversity Identified Through Massively Parallel DNA and RNA Sequencing of Eighteen Korean Individuals
ARTICLES Extensive genomic and transcriptional diversity identified through massively parallel DNA and RNA sequencing of eighteen Korean individuals Young Seok Ju1,2,9, Jong-Il Kim1,3–5,9, Sheehyun Kim1,2,9, Dongwan Hong1,8, Hansoo Park1,6, Jong-Yeon Shin1,5, Seungbok Lee1,4, Won-Chul Lee1,4, Sujung Kim5, Saet-Byeol Yu5, Sung-Soo Park5, Seung-Hyun Seo5, Ji-Young Yun5, Hyun-Jin Kim1,4, Dong-Sung Lee1,4, Maryam Yavartanoo1,4, Hyunseok Peter Kang1, Omer Gokcumen6, Diddahally R Govindaraju6, Jung Hee Jung2, Hyonyong Chong2,7, Kap-Seok Yang2, Hyungtae Kim2, Charles Lee6 & Jeong-Sun Seo1–5,7 Massively parallel sequencing technologies have identified a broad spectrum of human genome diversity. Here we deep sequenced and correlated 18 genomes and 17 transcriptomes of unrelated Korean individuals. This has allowed us to construct a genome- wide map of common and rare variants and also identify variants formed during DNA-RNA transcription. We identified 9.56 million genomic variants, 23.2% of which appear to be previously unidentified. From transcriptome sequencing, we discovered 4,414 transcripts not previously annotated. Finally, we revealed 1,809 sites of transcriptional base modification, where the transcriptional landscape is different from the corresponding genomic sequences, and 580 sites of allele-specific expression. Our findings suggest that a considerable number of unexplored genomic variants still remain to be identified in the human genome, and that the integrated analysis of genome and transcriptome sequencing is powerful for understanding the diversity and functional aspects of human genomic variants. Massively parallel sequencing technologies have revolutionized traits has actually been explained18, presumably because, in part, of our understanding of human genome architecture.