Differential Long Non-Coding RNA Expression Profiles in Human
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Tricarboxylic Acid Cycle Metabolites As Mediators of DNA Methylation Reprogramming in Bovine Preimplantation Embryos
Supplementary Materials Tricarboxylic Acid Cycle Metabolites as Mediators of DNA Methylation Reprogramming in Bovine Preimplantation Embryos Figure S1. (A) Total number of cells in fast (FBL) and slow (SBL) blastocysts; (B) Fluorescence intensity for 5-methylcytosine and 5-hydroxymethylcytosine of fast and slow blastocysts of cells from Trophoectoderm (TE) or inner cell mass (ICM). Fluorescence intensity for 5-methylcytosine of cells from the ICM or TE in blastocysts cultured with (C) dimethyl-succinate or (D) dimethyl-α- ketoglutarate. Statistical significance is identified by different letters. Figure S2. Experimental design. Table S1. Selected genes related to metabolism and epigenetic mechanisms from RNA-Seq analysis of bovine blastocysts (slow vs. fast). Genes in blue represent upregulation in slow blastocysts, genes in red represent upregulation in fast blastocysts. log2FoldCh Gene p-value p-Adj ange PDHB −1.425 0.000 0.000 MDH1 −1.206 0.000 0.000 APEX1 −1.193 0.000 0.000 OGDHL −3.417 0.000 0.002 PGK1 −0.942 0.000 0.002 GLS2 1.493 0.000 0.002 AICDA 1.171 0.001 0.005 ACO2 0.693 0.002 0.011 CS −0.660 0.002 0.011 SLC25A1 1.181 0.007 0.032 IDH3A −0.728 0.008 0.035 GSS 1.039 0.013 0.053 TET3 0.662 0.026 0.093 GLUD1 −0.450 0.032 0.108 SDHD −0.619 0.049 0.143 FH −0.547 0.054 0.149 OGDH 0.316 0.133 0.287 ACO1 −0.364 0.141 0.297 SDHC −0.335 0.149 0.311 LIG3 0.338 0.165 0.334 SUCLG −0.332 0.174 0.349 SDHA 0.297 0.210 0.396 SUCLA2 −0.324 0.248 0.439 DNMT1 0.266 0.279 0.486 IDH3B1 −0.269 0.296 0.503 SDHB −0.213 0.339 0.544 DNMT3B 0.181 0.386 0.598 APOBEC1 0.629 0.386 0.598 TDG 0.427 0.398 0.611 IDH3G 0.237 0.468 0.675 NEIL2 0.509 0.572 0.720 IDH2 0.298 0.571 0.720 DNMT3L 1.306 0.590 0.722 GLS 0.120 0.706 0.821 XRCC1 0.108 0.793 0.887 TET1 −0.028 0.879 0.919 DNMT3A 0.029 0.893 0.920 MBD4 −0.056 0.885 0.920 PDHX 0.033 0.890 0.920 SMUG1 0.053 0.936 0.954 TET2 −0.002 0.991 0.991 Table S2. -
An Adipocyte-Specific Lncrap2 - Igf2bp2 Complex Enhances Adipogenesis and Energy Expenditure by Stabilizing Target Mrnas
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.29.318980; this version posted September 29, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. An adipocyte-specific lncRAP2 - Igf2bp2 complex enhances adipogenesis and energy expenditure by stabilizing target mRNAs Juan R. Alvarez-Dominguez1,4, Sally Winther2, Jacob B. Hansen2, Harvey F. Lodish1,3,* and Marko Knoll1,5,* 1 Whitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA 02142, USA 2 Department of Biology, University of Copenhagen, Universitetsparken 13, DK-2100 Copenhagen, Denmark 3 Departments of Biology and Biological Engineering, Massachusetts Institute of Technology, 21 Ames Street, Cambridge, MA, 02142, USA 4 Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA 5 Institute for Diabetes Research, Helmholtz Zentrum München, Heidemannstrasse 1, 80939 München, Germany *correspondence: [email protected], [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.09.29.318980; this version posted September 29, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract lncRAP2 is a conserved cytoplasmic adipocyte-specific lncRNA required for adipogenesis. Using hybridization-based purification combined with in vivo interactome analyses, we show that lncRAP2 forms ribonucleoprotein complexes with several mRNA stability and translation modulators, among them Igf2bp2. -
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. -
Novel Regulators of the IGF System in Cancer
biomolecules Review Novel Regulators of the IGF System in Cancer Caterina Mancarella 1, Andrea Morrione 2 and Katia Scotlandi 1,* 1 IRCCS Istituto Ortopedico Rizzoli, Laboratory of Experimental Oncology, 40136 Bologna, Italy; [email protected] 2 Department of Biology, Sbarro Institute for Cancer Research and Molecular Medicine and Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA; [email protected] * Correspondence: [email protected]; Tel.: +39-051-6366-760 Abstract: The insulin-like growth factor (IGF) system is a dynamic network of proteins, which includes cognate ligands, membrane receptors, ligand binding proteins and functional downstream effectors. It plays a critical role in regulating several important physiological processes including cell growth, metabolism and differentiation. Importantly, alterations in expression levels or activa- tion of components of the IGF network are implicated in many pathological conditions including diabetes, obesity and cancer initiation and progression. In this review we will initially cover some general aspects of IGF action and regulation in cancer and then focus in particular on the role of transcriptional regulators and novel interacting proteins, which functionally contribute in fine tuning IGF1R signaling in several cancer models. A deeper understanding of the biological relevance of this network of IGF1R modulators might provide novel therapeutic opportunities to block this system in neoplasia. Keywords: IGF system; cancer; transcriptional regulators; functional regulation; circular RNAs; IGF2BPs; ADAR; DDR1; E-cadherin; decorin Citation: Mancarella, C.; Morrione, A.; Scotlandi, K. Novel Regulators of the IGF System in Cancer. 1. Introduction Biomolecules 2021, 11, 273. https:// doi.org/10.3390/biom11020273 The insulin-like growth factor (IGF) system is a network of ligands, binding proteins and receptors regulating crucial physiological and pathological biological processes. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
DOE Human Genome Program Contractor-Grantee Workshop VI November 9-13, 1997 Santa Fe, New Mexico
CONF-971146 DOE uman ~ ~enome Contact for queries about this publication: Human Genome Program U.S. Department of Energy Office of Biological and Environmental Research ER-72GTN Washington, DC 20585 301/903-6488, Fax: 301/903-8521 E-mail: [email protected] A limited number of print copies are available. Contact: Betty K. Mansfield Oak Ridge National Laboratory 1060 Commerce Park, MS 6480 Oak Ridge, TN 37830 423/576-6669, Fax: 423/574-9888 E-mail: [email protected] An electronic version of this document will be available, after the November 1997 meeting, at the Human Genome Project Information Web site under Publications (http://www.ornl.gov/hgmis). This report has been reproduced directly from the best obtainable copy. Available to DOE and DOE contractors from the Office of Scientific and Technical Information; P.O. Box 62; Oak Ridge, TN 37831. Price information: 423/576-8401. Available to the public from the National Technical Information Service; U.S. Department of Commerce; 5285 Port Royal Road; Springfield, VA 22161. CONF-971146 DOE Human Genome Program Contractor-Grantee Workshop VI November 9-13, 1997 Santa Fe, New Mexico Date Published: October 1997 Prepared for the U.S. Department of Energy Office of Energy Research Office of Biological and Environmental Research Washington, D.C. 20585 under budget and reporting code KP 0404000 Prepared by Hwnan Genome Management Information System Oak Ridge National Laboratory Oak Ridge, 1N 37830-6480 Managed by LOCKHEED MARTIN ENERGY RESEARCH CORP. for the U.S. DEPARTMENT OF ENERGY UNDER CONTRACT DE-AC05-960R22464 Contents Introduction to Contractor-Grantee Workshop VI ............................. -
Genome-Wide DNA Methylation Analysis Reveals Molecular Subtypes of Pancreatic Cancer
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 17), pp: 28990-29012 Research Paper Genome-wide DNA methylation analysis reveals molecular subtypes of pancreatic cancer Nitish Kumar Mishra1 and Chittibabu Guda1,2,3,4 1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA 2Bioinformatics and Systems Biology Core, University of Nebraska Medical Center, Omaha, NE, 68198, USA 3Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA 4Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA Correspondence to: Chittibabu Guda, email: [email protected] Keywords: TCGA, pancreatic cancer, differential methylation, integrative analysis, molecular subtypes Received: October 20, 2016 Accepted: February 12, 2017 Published: March 07, 2017 Copyright: Mishra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Pancreatic cancer (PC) is the fourth leading cause of cancer deaths in the United States with a five-year patient survival rate of only 6%. Early detection and treatment of this disease is hampered due to lack of reliable diagnostic and prognostic markers. Recent studies have shown that dynamic changes in the global DNA methylation and gene expression patterns play key roles in the PC development; hence, provide valuable insights for better understanding the initiation and progression of PC. In the current study, we used DNA methylation, gene expression, copy number, mutational and clinical data from pancreatic patients. -
Comparative Analysis of Pacbio and Oxford Nanopore Sequencing Technologies for Transcriptomic Landscape Identification of Penaeus Monodon
life Brief Report Comparative Analysis of PacBio and Oxford Nanopore Sequencing Technologies for Transcriptomic Landscape Identification of Penaeus monodon Zulema Udaondo 1 , Kanchana Sittikankaew 2, Tanaporn Uengwetwanit 2 , Thidathip Wongsurawat 1,3 , Chutima Sonthirod 4, Piroon Jenjaroenpun 1,3 , Wirulda Pootakham 4, Nitsara Karoonuthaisiri 2 and Intawat Nookaew 1,* 1 Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; [email protected] (Z.U.); [email protected] (T.W.); [email protected] (P.J.) 2 National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Pathum Thani 12120, Thailand; [email protected] (K.S.); [email protected] (T.U.); [email protected] (N.K.) 3 Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand 4 National Omics Center (NOC), National Science and Technology Development Agency (NSTDA), Pathum Thani 12120, Thailand; [email protected] (C.S.); [email protected] (W.P.) * Correspondence: [email protected]; Tel.: +1-501-686-6025; Fax: +1-501-603-1766 Citation: Udaondo, Z.; Sittikankaew, K.; Uengwetwanit, T.; Wongsurawat, Abstract: With the advantages that long-read sequencing platforms such as Pacific Biosciences T.; Sonthirod, C.; Jenjaroenpun, P.; (Menlo Park, CA, USA) (PacBio) and Oxford Nanopore Technologies (Oxford, UK) (ONT) can offer, Pootakham, W.; Karoonuthaisiri, N.; various research fields such as genomics and transcriptomics can exploit their benefits. Selecting an Nookaew, I. Comparative Analysis of appropriate sequencing platform is undoubtedly crucial for the success of the research outcome, PacBio and Oxford Nanopore thus there is a need to compare these long-read sequencing platforms and evaluate them for specific Sequencing Technologies for research questions. -
IGF2BP2-Modified Circular RNA Circarhgap12 Promotes Cervical
www.nature.com/cddiscovery ARTICLE OPEN IGF2BP2-modified circular RNA circARHGAP12 promotes cervical cancer progression by interacting m6A/FOXM1 manner ✉ ✉ Fei Ji1,2,5, Yang Lu1,5, Shaoyun Chen3,YanYu1, Xiaoling Lin4, Yuanfang Zhu1 and Xin Luo2,4 © The Author(s) 2021 Emerging evidence indicates that circular RNA (circRNA) and N6-methyladenosine (m6A) play critical roles in cervical cancer. However, the synergistic effect of circRNA and m6A on cervical cancer progression is unclear. In the present study, our sequencing data revealed that a novel m6A-modified circRNA (circARHGAP12, hsa_circ_0000231) upregulated in the cervical cancer tissue and cells. Interestingly, the m6A modification of circARHGAP12 could amplify its enrichment. Functional experiments illustrated that circARHGAP12 promoted the tumor progression of cervical cancer in vivo and vitro. Furthermore, MeRIP-Seq illustrated that there was a remarkable m6A site in FOXM1 mRNA. CircARHGAP12 interacted with m6A reader IGF2BP2 to combine with FOXM1 mRNA, thereby accelerating the stability of FOXM1 mRNA. In conclusion, we found that circARHGAP12 exerted the oncogenic role in cervical cancer progression through m6A-dependent IGF2BP2/FOXM1 pathway. These findings may provide new concepts for cervical cancer biology and pathological physiology. Cell Death Discovery (2021) 7:215 ; https://doi.org/10.1038/s41420-021-00595-w INTRODUCTION enzymes (m6A readers) could regulate the fate of m6A-containing Cervical cancer is the second most frequent malignant cancer for mRNAs, including nuclear, export, mRNA stability, and mRNA women worldwide and the third primary cause of cancer-related translation. It has been identified that m6A could regulate death in developing countries [1, 2]. Although the increasing tumorigenic progression. -
Bioinformatics Analysis of Potential Key Genes and Mechanisms in Type 2 Diabetes Mellitus Basavaraj Vastrad1, Chanabasayya Vastrad*2
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.28.437386; this version posted March 29, 2021. 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. Bioinformatics analysis of potential key genes and mechanisms in type 2 diabetes mellitus 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, Karnataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.03.28.437386; this version posted March 29, 2021. 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 Type 2 diabetes mellitus (T2DM) is etiologically related to metabolic disorder. The aim of our study was to screen out candidate genes of T2DM and to elucidate the underlying molecular mechanisms by bioinformatics methods. Expression profiling by high throughput sequencing data of GSE154126 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between T2DM and normal control were identified. And then, functional enrichment analyses of gene ontology (GO) and REACTOME pathway analysis was performed. Protein–protein interaction (PPI) network and module analyses were performed based on the DEGs. Additionally, potential miRNAs of hub genes were predicted by miRNet database . Transcription factors (TFs) of hub genes were detected by NetworkAnalyst database. Further, validations were performed by receiver operating characteristic curve (ROC) analysis and real-time polymerase chain reaction (RT-PCR). -
In This Table Protein Name, Uniprot Code, Gene Name P-Value
Supplementary Table S1: In this table protein name, uniprot code, gene name p-value and Fold change (FC) for each comparison are shown, for 299 of the 301 significantly regulated proteins found in both comparisons (p-value<0.01, fold change (FC) >+/-0.37) ALS versus control and FTLD-U versus control. Two uncharacterized proteins have been excluded from this list Protein name Uniprot Gene name p value FC FTLD-U p value FC ALS FTLD-U ALS Cytochrome b-c1 complex P14927 UQCRB 1.534E-03 -1.591E+00 6.005E-04 -1.639E+00 subunit 7 NADH dehydrogenase O95182 NDUFA7 4.127E-04 -9.471E-01 3.467E-05 -1.643E+00 [ubiquinone] 1 alpha subcomplex subunit 7 NADH dehydrogenase O43678 NDUFA2 3.230E-04 -9.145E-01 2.113E-04 -1.450E+00 [ubiquinone] 1 alpha subcomplex subunit 2 NADH dehydrogenase O43920 NDUFS5 1.769E-04 -8.829E-01 3.235E-05 -1.007E+00 [ubiquinone] iron-sulfur protein 5 ARF GTPase-activating A0A0C4DGN6 GIT1 1.306E-03 -8.810E-01 1.115E-03 -7.228E-01 protein GIT1 Methylglutaconyl-CoA Q13825 AUH 6.097E-04 -7.666E-01 5.619E-06 -1.178E+00 hydratase, mitochondrial ADP/ATP translocase 1 P12235 SLC25A4 6.068E-03 -6.095E-01 3.595E-04 -1.011E+00 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 Protein kinase C and casein Q9BY11 PACSIN1 3.837E-03 -5.863E-01 3.680E-06 -1.824E+00 kinase substrate in neurons protein 1 Tubulin polymerization- O94811 TPPP 6.466E-03 -5.755E-01 6.943E-06 -1.169E+00 promoting protein MIC C9JRZ6 CHCHD3 2.912E-02 -6.187E-01 2.195E-03 -9.781E-01 Mitochondrial 2- -
Role of IGF2BP3 in Trophoblast Cell Invasion and Migration
Citation: Cell Death and Disease (2014) 5, e1025; doi:10.1038/cddis.2013.545 OPEN & 2014 Macmillan Publishers Limited All rights reserved 2041-4889/14 www.nature.com/cddis Role of IGF2BP3 in trophoblast cell invasion and migration WLi1,2, D Liu2,3, W Chang4,XLu2,3, Y-L Wang2, H Wang2, C Zhu2, H-Y Lin2, Y Zhang5, J Zhou*,1 and H Wang*,2 The insulin-like growth factor-2 mRNA-binding protein 3 (IGF2BP3) is a member of a highly conserved protein family that is expressed specifically in placenta, testis and various cancers, but is hardly detectable in normal adult tissues. IGF2BP3 has important roles in RNA stabilization and translation, especially during early stages of both human and mouse embryogenesis. Placenta is an indispensable organ in mammalian reproduction that connects developing fetus to the uterine wall, and is responsible for nutrient uptake, waste elimination and gas exchange. Fetus development in the maternal uterine cavity depends on the specialized functional trophoblast. Whether IGF2BP3 plays a role in trophoblast differentiation during placental development has never been examined. The data obtained in this study revealed that IGF2BP3 was highly expressed in human placental villi during early pregnancy, especially in cytotrophoblast cells (CTBs) and trophoblast column, but a much lower level of IGF2BP3 was detected in the third trimester placental villi. Furthermore, the expression level of IGF2BP3 in pre-eclamptic (PE) placentas was significantly lower than the gestational age-matched normal placentas. The role of IGF2BP3 in human trophoblast differentiation was shown by in vitro cell invasion and migration assays and an ex vivo explant culture model.