Differentially Expressed Genes
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Strategies to Increase ß-Cell Mass Expansion
This electronic thesis or dissertation has been downloaded from the King’s Research Portal at https://kclpure.kcl.ac.uk/portal/ Strategies to increase -cell mass expansion Drynda, Robert Lech Awarding institution: King's College London The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without proper acknowledgement. END USER LICENCE AGREEMENT Unless another licence is stated on the immediately following page this work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence. https://creativecommons.org/licenses/by-nc-nd/4.0/ You are free to copy, distribute and transmit the work Under the following conditions: Attribution: You must attribute the work in the manner specified by the author (but not in any way that suggests that they endorse you or your use of the work). Non Commercial: You may not use this work for commercial purposes. No Derivative Works - You may not alter, transform, or build upon this work. Any of these conditions can be waived if you receive permission from the author. Your fair dealings and other rights are in no way affected by the above. Take down policy If you believe that this document breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 Strategies to increase β-cell mass expansion A thesis submitted by Robert Drynda For the degree of Doctor of Philosophy from King’s College London Diabetes Research Group Division of Diabetes & Nutritional Sciences Faculty of Life Sciences & Medicine King’s College London 2017 Table of contents Table of contents ................................................................................................. -
PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
Molecular Mechanisms Involved Involved in the Interaction Effects of HCV and Ethanol on Liver Cirrhosis
Virginia Commonwealth University VCU Scholars Compass Theses and Dissertations Graduate School 2010 Molecular Mechanisms Involved Involved in the Interaction Effects of HCV and Ethanol on Liver Cirrhosis Ryan Fassnacht Virginia Commonwealth University Follow this and additional works at: https://scholarscompass.vcu.edu/etd Part of the Physiology Commons © The Author Downloaded from https://scholarscompass.vcu.edu/etd/2246 This Thesis is brought to you for free and open access by the Graduate School at VCU Scholars Compass. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of VCU Scholars Compass. For more information, please contact [email protected]. Ryan C. Fassnacht 2010 All Rights Reserved Molecular Mechanisms Involved in the Interaction Effects of HCV and Ethanol on Liver Cirrhosis A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University. by Ryan Christopher Fassnacht, B.S. Hampden Sydney University, 2005 M.S. Virginia Commonwealth University, 2010 Director: Valeria Mas, Ph.D., Associate Professor of Surgery and Pathology Division of Transplant Department of Surgery Virginia Commonwealth University Richmond, Virginia July 9, 2010 Acknowledgement The Author wishes to thank his family and close friends for their support. He would also like to thank the members of the molecular transplant team for their help and advice. This project would not have been possible with out the help of Dr. Valeria Mas and her endearing -
Serum Levels of Spexin and Kisspeptin Negatively Correlate with Obesity and Insulin Resistance in Women
Physiol. Res. 67: 45-56, 2018 https://doi.org/10.33549/physiolres.933467 Serum Levels of Spexin and Kisspeptin Negatively Correlate With Obesity and Insulin Resistance in Women P. A. KOŁODZIEJSKI1, E. PRUSZYŃSKA-OSZMAŁEK1, E. KOREK4, M. SASSEK1, D. SZCZEPANKIEWICZ1, P. KACZMAREK1, L. NOGOWSKI1, P. MAĆKOWIAK1, K. W. NOWAK1, H. KRAUSS4, M. Z. STROWSKI2,3 1Department of Animal Physiology and Biochemistry, Poznan University of Life Sciences, Poznan, Poland, 2Department of Hepatology and Gastroenterology & The Interdisciplinary Centre of Metabolism: Endocrinology, Diabetes and Metabolism, Charité-University Medicine Berlin, Berlin, Germany, 3Department of Internal Medicine, Park-Klinik Weissensee, Berlin, Germany, 4Department of Physiology, Karol Marcinkowski University of Medical Science, Poznan, Poland Received August 18, 2016 Accepted June 19, 2017 On-line November 10, 2017 Summary Corresponding author Spexin (SPX) and kisspeptin (KISS) are novel peptides relevant in P. A. Kolodziejski, Department of Animal Physiology and the context of regulation of metabolism, food intake, puberty and Biochemistry, Poznan University of Life Sciences, Wolynska Street reproduction. Here, we studied changes of serum SPX and KISS 28, 60-637 Poznan, Poland. E-mail: [email protected] levels in female non-obese volunteers (BMI<25 kg/m2) and obese patients (BMI>35 kg/m2). Correlations between SPX or Introduction KISS with BMI, McAuley index, QUICKI, HOMA IR, serum levels of insulin, glucagon, leptin, adiponectin, orexin-A, obestatin, Kisspeptin (KISS) and spexin (SPX) are peptides ghrelin and GLP-1 were assessed. Obese patients had lower SPX involved in regulation of body weight, metabolism and and KISS levels as compared to non-obese volunteers (SPX: sexual functions. In 2014, Kim and coworkers showed that 4.48±0.19 ng/ml vs. -
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. -
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. -
Long Noncoding RNA UPK1A-AS1 Indicates Poor Prognosis of Hepatocellular Carcinoma and Promotes Cell Proliferation Through Interacting with EZH2
Long noncoding RNA UPK1A-AS1 indicates poor prognosis of hepatocellular carcinoma and promotes cell proliferation through interacting with EZH2 Dong-Yan Zhang ( [email protected] ) Southern Medical University Nanfang Hospital Qing-Can Sun Southern Medical University Nanfang Hospital Xue-Jing Zou Southern Medical University Nanfang Hospital Yang Song Southern Medical University Nanfang Hospital Wen-Wen Li Southern Medical University Nanfang Hospital Ze-Qin Guo Southern Medical University Nanfang Hospital Shan-Shan Liu Southern Medical University Nanfang Hospital Li Liu Southern Medical University Nanfang Hospital De-Hua Wu Southern Medical University Nanfang Hospital Research Keywords: UPK1A antisense RNA 1, EZH2, long non-coding RNA, miR-138-5p, proliferation, Hepatocellular carcinoma Posted Date: October 1st, 2020 DOI: https://doi.org/10.21203/rs.3.rs-40876/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/29 Version of Record: A version of this preprint was published on October 29th, 2020. See the published version at https://doi.org/10.1186/s13046-020-01748-y. Page 2/29 Abstract Background: Dysregulations of lncRNA are responsible for cancer initiation and development, positioning lncRNAs as not only biomarkers but also promising therapeutic targets for cancer treatment. Growing number of lncRNAs have been reported in HCC but their functional and mechanistic roles remain unclear. Methods: Gene Set Enrichment Analysis was used to investigate the molecular mechanism of lncRNA UPK1A antisense RNA 1 (UPK1A-AS1). CCK-8 assay, EdU assay, ow cytometry, western blot, and xenograft assay were used to conrm the role of UPK1A-AS1 in the proliferation of HCC cells both in vitro and in vivo. -
Investigation of Candidate Genes and Mechanisms Underlying Obesity
Prashanth et al. BMC Endocrine Disorders (2021) 21:80 https://doi.org/10.1186/s12902-021-00718-5 RESEARCH ARTICLE Open Access Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules G. Prashanth1 , Basavaraj Vastrad2 , Anandkumar Tengli3 , Chanabasayya Vastrad4* and Iranna Kotturshetti5 Abstract Background: Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. Methods: To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. Results: A total of 820 DEGs were identified between -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Supporting Information
Supporting Information The deubiquitinase USP38 promotes NHEJ repair through regulation of HDAC1 activity and regulates cancer cell response to genotoxic insults Yongfeng Yang1,2, Chuanzhen Yang1,2, Tingting Li3, Shuyu Yu1,2,Tingting Gan4, Jiazhi Hu4, Jun Cui5,6, and Xiaofeng Zheng1,2,* 1 State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China. 2Department of Biochemistry and Molecular Biology, School of Life Sciences, Peking University, Beijing, China. 3State Key Laboratory of Proteomics, National Center of Biomedical Analysis, Institute of Basic Medical Sciences, Beijing, China. 4Department of Cell Biology, School of Life Sciences, Peking University, Beijing, China. 5Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China. 6Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, Guangzhou, China. *To whom correspondence should be addressed. Xiaofeng Zheng, School of Life Sciences, Peking University, Beijing 100871, China. Tel: +86 10-6275-5712; Email: [email protected] Supplementary Materials and Methods: Antibodies and reagents Mouse monoclonal anti-Flag (F3165, RRID: AB_259529) antibodies, anti-HA (H9658, RRID: AB_260092) antibodies, and etoposide (E1383) were purchased from Sigma-Aldrich. Mouse monoclonal anti-Myc (M047-3, RRID: AB_591112), anti-histidine (D291–3, RRID: AB_10597733), and rabbit polyclonal anti-β-actin (PM053, RRID: AB_10598196) antibodies were purchased from MBL. Mouse monoclonal anti-H3 (BE3015) antibodies were purchased from EASYBIO. Mouse monoclonal anti-γH2AX (05–636, RRID: AB_309864) antibodies and MG132 (2772605) were purchased from Millipore. Mouse monoclonal anti-HDAC1 (sc-81598, RRID: AB_2118083) antibodies were purchased from Santa Cruz Biotechnology. -
The Galanin and Galanin Receptor Subtypes, Its Regulatory Role in the Biological and Pathological Functions
Physiol. Res. 66: 729-740, 2017 REVIEW The Galanin and Galanin Receptor Subtypes, its Regulatory Role in the Biological and Pathological Functions J. ŠÍPKOVÁ1, I. KRAMÁRIKOVÁ1, S. HYNIE1, V. KLENEROVÁ1 1Laboratory of Neuropharmacology, Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University, Prague, Czech Republic Received December 16, 2016 Accepted March 31, 2017 On-line July 18, 2017 Summary Corresponding author The multitalented neuropeptide galanin was first discovered V. Klenerová, Laboratory of Neuropharmacology, Institute of 30 years ago but initially no biologic activity was found. Further Medical Biochemistry and Laboratory Diagnostics, First Faculty of research studies discovered the presence of galanin in the brain Medicine, Charles University, Albertov 4, 128 00 Prague 2, Czech and some peripheral tissues, and galanin was identified as Republic. Tel/Fax: +420 224 968 166, +420 224 968 142. a modulator of neurotransmission in the central and peripheral E-mail: [email protected] nervous system. Over the last decade there were performed very intensive studies of the neuronal actions and also of nonneuronal Introduction actions of galanin. Other galanin family peptides have been described, namely galanin, galanin-like peptide, galanin-message The galaninergic system is one of the specific associated peptide and alarin. The effect of these peptides is signaling systems involved in neurotransmission and mediated through three galanin receptors subtypes, GalR1, GalR2 neuromodulation. The principal molecule of this system and GalR3 belonging to G protein coupled receptors, and is the neuropeptide galanin. Galanin molecule was firstly signaling via multiple transduction pathways, including inhibition described more than thirty years ago in the porcine of cyclic AMP/protein kinase A (GalR1, GalR3) and stimulation of intestine (Tatemoto et al.