Using Mrna Deep Sequencing to Analyze Differentially Expressed Genes During Panax Notoginseng Saponin Treatment of Ischemic Stroke
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Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10. -
Effects of Stressors on Differential Gene Expression And
EFFECTS OF STRESSORS ON DIFFERENTIAL GENE EXPRESSION AND SECONDARY METABOLITES BY AXINELLA CORRUGATA by Jennifer Grima A Thesis Submitted to the Faculty of Charles E. Schmidt College of Science in Partial Fulfillment of the Requirements for the Degree of Master of Science Florida Atlantic University Boca Raton, Florida May 2013 ACKNOWLEDGEMENTS This thesis was made possible by the help and support of my mentors and friends. Without their guidance and expertise, I would not have been able to accomplish all that I have. Their belief and encouragement in my efforts have motivated and inspired me along through this journey and into a new era in my life. First and foremost, I am grateful to Dr. Shirley Pomponi for taking on the role as my advisor and giving me the opportunity to experience life as a researcher. Not only has she guided me in my scientific studies, she has become a wonderful, lifelong friend. Dr. Pomponi and Dr. Amy Wright have also provided financial support that enabled me to conduct the research and complete this thesis. I would also like to acknowledge Dr. Amy Wright for her willingness to tender advice on all things chemistry related as well as providing me with the space, equipment, and supplies to conduct the chemical analyses. I am grateful to Dr. Esther Guzman who not only served as a committee member, but has also been readily available to help me in any endeavor, whether it be research or personal related. She is truly one of kind with her breadth of knowledge in research and her loyal and caring character. -
DNA·RNA Triple Helix Formation Can Function As a Cis-Acting Regulatory
DNA·RNA triple helix formation can function as a cis-acting regulatory mechanism at the human β-globin locus Zhuo Zhoua, Keith E. Gilesa,b,c, and Gary Felsenfelda,1 aLaboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892; bUniversity of Alabama at Birmingham Stem Cell Institute, University of Alabama at Birmingham, Birmingham, AL 35294; and cDepartment of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL 35294 Contributed by Gary Felsenfeld, February 4, 2019 (sent for review January 4, 2019; reviewed by James Douglas Engel and Sergei M. Mirkin) We have identified regulatory mechanisms in which an RNA tran- of the criteria necessary to establish the presence of a triplex script forms a DNA duplex·RNA triple helix with a gene or one of its structure, we first describe and characterize triplex formation at regulatory elements, suggesting potential auto-regulatory mecha- the FAU gene in human erythroid K562 cells. FAU encodes a nisms in vivo. We describe an interaction at the human β-globin protein that is a fusion containing fubi, a ubiquitin-like protein, locus, in which an RNA segment embedded in the second intron of and ribosomal protein S30. Although fubi function is unknown, the β-globin gene forms a DNA·RNA triplex with the HS2 sequence posttranslational processing produces S30, a component of the within the β-globin locus control region, a major regulator of glo- 40S ribosome. We used this system to refine methods necessary bin expression. We show in human K562 cells that the triplex is to detect triplex formation and to distinguish it from R-loop stable in vivo. -
Primate Specific Retrotransposons, Svas, in the Evolution of Networks That Alter Brain Function
Title: Primate specific retrotransposons, SVAs, in the evolution of networks that alter brain function. Olga Vasieva1*, Sultan Cetiner1, Abigail Savage2, Gerald G. Schumann3, Vivien J Bubb2, John P Quinn2*, 1 Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, U.K 2 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK 3 Division of Medical Biotechnology, Paul-Ehrlich-Institut, Langen, D-63225 Germany *. Corresponding author Olga Vasieva: Institute of Integrative Biology, Department of Comparative genomics, University of Liverpool, Liverpool, L69 7ZB, [email protected] ; Tel: (+44) 151 795 4456; FAX:(+44) 151 795 4406 John Quinn: Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK, [email protected]; Tel: (+44) 151 794 5498. Key words: SVA, trans-mobilisation, behaviour, brain, evolution, psychiatric disorders 1 Abstract The hominid-specific non-LTR retrotransposon termed SINE–VNTR–Alu (SVA) is the youngest of the transposable elements in the human genome. The propagation of the most ancient SVA type A took place about 13.5 Myrs ago, and the youngest SVA types appeared in the human genome after the chimpanzee divergence. Functional enrichment analysis of genes associated with SVA insertions demonstrated their strong link to multiple ontological categories attributed to brain function and the disorders. SVA types that expanded their presence in the human genome at different stages of hominoid life history were also associated with progressively evolving behavioural features that indicated a potential impact of SVA propagation on a cognitive ability of a modern human. -
A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules Natasha L
www.nature.com/scientificreports OPEN A Multi-Omics Interpretable Machine Learning Model Reveals Modes of Action of Small Molecules Natasha L. Patel-Murray1, Miriam Adam2, Nhan Huynh2, Brook T. Wassie2, Pamela Milani2 & Ernest Fraenkel 2,3* High-throughput screening and gene signature analyses frequently identify lead therapeutic compounds with unknown modes of action (MoAs), and the resulting uncertainties can lead to the failure of clinical trials. We developed an approach for uncovering MoAs through an interpretable machine learning model of transcriptomics, epigenomics, metabolomics, and proteomics. Examining compounds with benefcial efects in models of Huntington’s Disease, we found common MoAs for compounds with unrelated structures, connectivity scores, and binding targets. The approach also predicted highly divergent MoAs for two FDA-approved antihistamines. We experimentally validated these efects, demonstrating that one antihistamine activates autophagy, while the other targets bioenergetics. The use of multiple omics was essential, as some MoAs were virtually undetectable in specifc assays. Our approach does not require reference compounds or large databases of experimental data in related systems and thus can be applied to the study of agents with uncharacterized MoAs and to rare or understudied diseases. Unknown modes of action of drug candidates can lead to unpredicted consequences on efectiveness and safety. Computational methods, such as the analysis of gene signatures, and high-throughput experimental methods have accelerated the discovery of lead compounds that afect a specifc target or phenotype1–3. However, these advances have not dramatically changed the rate of drug approvals. Between 2000 and 2015, 86% of drug can- didates failed to earn FDA approval, with toxicity or a lack of efcacy being common reasons for their clinical trial termination4,5. -
Genes with 5' Terminal Oligopyrimidine Tracts Preferentially Escape Global Suppression of Translation by the SARS-Cov-2 NSP1 Protein
Downloaded from rnajournal.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Genes with 5′ terminal oligopyrimidine tracts preferentially escape global suppression of translation by the SARS-CoV-2 Nsp1 protein Shilpa Raoa, Ian Hoskinsa, Tori Tonna, P. Daniela Garciaa, Hakan Ozadama, Elif Sarinay Cenika, Can Cenika,1 a Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA 1Corresponding author: [email protected] Key words: SARS-CoV-2, Nsp1, MeTAFlow, translation, ribosome profiling, RNA-Seq, 5′ TOP, Ribo-Seq, gene expression 1 Downloaded from rnajournal.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Viruses rely on the host translation machinery to synthesize their own proteins. Consequently, they have evolved varied mechanisms to co-opt host translation for their survival. SARS-CoV-2 relies on a non-structural protein, Nsp1, for shutting down host translation. However, it is currently unknown how viral proteins and host factors critical for viral replication can escape a global shutdown of host translation. Here, using a novel FACS-based assay called MeTAFlow, we report a dose-dependent reduction in both nascent protein synthesis and mRNA abundance in cells expressing Nsp1. We perform RNA-Seq and matched ribosome profiling experiments to identify gene-specific changes both at the mRNA expression and translation level. We discover that a functionally-coherent subset of human genes are preferentially translated in the context of Nsp1 expression. These genes include the translation machinery components, RNA binding proteins, and others important for viral pathogenicity. Importantly, we uncovered a remarkable enrichment of 5′ terminal oligo-pyrimidine (TOP) tracts among preferentially translated genes. -
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. -
Supplementary Table S2
1-high in cerebrotropic Gene P-value patients Definition BCHE 2.00E-04 1 Butyrylcholinesterase PLCB2 2.00E-04 -1 Phospholipase C, beta 2 SF3B1 2.00E-04 -1 Splicing factor 3b, subunit 1 BCHE 0.00022 1 Butyrylcholinesterase ZNF721 0.00028 -1 Zinc finger protein 721 GNAI1 0.00044 1 Guanine nucleotide binding protein (G protein), alpha inhibiting activity polypeptide 1 GNAI1 0.00049 1 Guanine nucleotide binding protein (G protein), alpha inhibiting activity polypeptide 1 PDE1B 0.00069 -1 Phosphodiesterase 1B, calmodulin-dependent MCOLN2 0.00085 -1 Mucolipin 2 PGCP 0.00116 1 Plasma glutamate carboxypeptidase TMX4 0.00116 1 Thioredoxin-related transmembrane protein 4 C10orf11 0.00142 1 Chromosome 10 open reading frame 11 TRIM14 0.00156 -1 Tripartite motif-containing 14 APOBEC3D 0.00173 -1 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3D ANXA6 0.00185 -1 Annexin A6 NOS3 0.00209 -1 Nitric oxide synthase 3 SELI 0.00209 -1 Selenoprotein I NYNRIN 0.0023 -1 NYN domain and retroviral integrase containing ANKFY1 0.00253 -1 Ankyrin repeat and FYVE domain containing 1 APOBEC3F 0.00278 -1 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3F EBI2 0.00278 -1 Epstein-Barr virus induced gene 2 ETHE1 0.00278 1 Ethylmalonic encephalopathy 1 PDE7A 0.00278 -1 Phosphodiesterase 7A HLA-DOA 0.00305 -1 Major histocompatibility complex, class II, DO alpha SOX13 0.00305 1 SRY (sex determining region Y)-box 13 ABHD2 3.34E-03 1 Abhydrolase domain containing 2 MOCS2 0.00334 1 Molybdenum cofactor synthesis 2 TTLL6 0.00365 -1 Tubulin tyrosine ligase-like family, member 6 SHANK3 0.00394 -1 SH3 and multiple ankyrin repeat domains 3 ADCY4 0.004 -1 Adenylate cyclase 4 CD3D 0.004 -1 CD3d molecule, delta (CD3-TCR complex) (CD3D), transcript variant 1, mRNA. -
Accepted Version
Article A catalog of genetic loci associated with kidney function from analyses of a million individuals WUTTKE, Matthias, et al. Abstract Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n?=?1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n?=?416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority [...] Reference WUTTKE, Matthias, et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nature Genetics, 2019, vol. 51, no. 6, p. 957-972 DOI : 10.1038/s41588-019-0407-x PMID : 31152163 Available at: http://archive-ouverte.unige.ch/unige:147447 Disclaimer: layout of this document may differ from the published version. 1 / 1 HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nat Genet Manuscript Author . Author manuscript; Manuscript Author available in PMC 2019 August 19. -
UNDERGRADUATE RESEARCH SYMPOSIUM 03.31.17 March 31St, 2017
Sev ent h Annu a l UNDERGRADUATE RESEARCH SYMPOSIUM 03.31.17 March 31st, 2017 Live Oak Pavilion and Grand Palm Room Boca Raton Campus WELCOME Welcome to the 7th Annual Undergraduate Research Sym- posium, which showcases undergraduate students at FAU who are engaged in research, scholarship and creative ac- tivities. Students present their findings through poster or visual and oral or performing arts presentations, and rep- resent all disciplines, all colleges, and all campuses of FAU. Few activities are as rewarding intellectually as research and inquiry. In addition to the acquisition of invaluable re- search skills, students learn how knowledge is created and how that knowledge can be overturned with new evidence or new perspectives. Such scholarly activities engage stu- dents in working independently, overcoming obstacles, and learning the importance of ethics and personal conduct in the research process. The Office of Undergraduate Research and Inquiry (OURI) serves as a centralized support office of both faculty and students who are engaged in undergraduate research and inquiry. We offer and support university wide programs such as undergraduate research grants, annual undergraduate research symposia, and undergraduate research journals, to name a few. We also support all departments and all col- leges across all campuses in their undergraduate research and inquiry initiatives. The Undergraduate Research Symposium is part of our University’s Quality Enhancement Plan (QEP) efforts aimed at expanding a culture of undergraduate research -
Lorena Novoa-Aponte
A Strain: fl/fl ∆hep Strain: fl/fl ∆hep AnalysisAAV: ofLuc the ironLuc chaperonePCBP1-WT PCBP1PCBP1-∆Fe interactome:PCBP1-∆RNA PCBP1 variant intersection of DNA repair and iron traffickingAAV: Luc Luc WT ∆Fe ∆RNA PCBP1 −40 Lorena Novoa-Aponte a*, Sarju J. Patel a, Olga Protchenko a, James Wohlschlegel b, Caroline C. Philpott a −40 PCBP1, IHC PCBP1, GAPDH - a Genetics and Metabolism Section,a NIDDK, NIH, Bethesda, MD, USA. b Department of Biological Chemistry, UCLA, Los Angeles, CA, USA C.C. Philpott, et al. *[email protected] 80 B P = 0.0262 60 40 1. Iron is essential but toxic 2. Increased DNA damage in cells lacking PCBP1 ns H&E ? + 20 C.C. Philpott, et al. Iron is used as an essential cofactor by several enzymes involved in DNA ⦿ Increased TUNEL in cells and tissue livers from mice lacking PCBP1. ? replication and repair. However, unchaperoned iron promotes redox ⦿ PCBP1 binds both, iron and single-stranded nucleicTG, nmol/mg protein 0 acids. stress that may affect DNA stability. Strain: Δhep Δhep Δhep ? ⦿ The iron binding activity of PCBP1 controls suppressionAAV: of DNA damage C WT ∆Fe ∆RNA PCBP1 variant ? Iron storage HEK293 cells Mouse Liver ? A 8 siNT+P1var 100 ? A 8 var siPCBP1 2 ? Mammals use the iron siNT+P1 ns var Fe-S cluster assembly 6 siPCBP1+P1siPCBP1 80 ADI1 TUNEL chaperone PCBP1 to var ? 6 siPCBP1+P1 metalate several iron- 60 = 0.0468 = 0.0354 = 0.0465 cell / mm population P P P population + dependent enzymes + 4 + 4 ? 40 Degradation of HIF1α Fig. 3. Iron chaperone-mediated handling of cytosolic labile iron pool. -
Screening and Association Testing of Common Coding Variation in Steroid
BMC Cancer BioMed Central Research article Open Access Screening and association testing of common coding variation in steroid hormone receptor co-activator and co-repressor genes in relation to breast cancer risk: the Multiethnic Cohort Christopher A Haiman*1, Rachel R Garcia1, Chris Hsu1, Lucy Xia1, Helen Ha2, Xin Sheng1, Loic Le Marchand3, Laurence N Kolonel3, Brian E Henderson1, Michael R Stallcup4, Geoffrey L Greene5 and Michael F Press6 Address: 1Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, USA, 2Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, California, USA, 3Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, Hawaii, USA, 4Department of Biochemistry and Molecular Biology, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, USA, 5The Ben May Department for Cancer Research, The University of Chicago, Chicago Illinois, USA and 6Department of Pathology, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, USA Email: Christopher A Haiman* - [email protected]; Rachel R Garcia - [email protected]; Chris Hsu - [email protected]; Lucy Xia - [email protected]; Helen Ha - [email protected]; Xin Sheng - [email protected]; Loic Le Marchand - [email protected]; Laurence N Kolonel - [email protected]; Brian E Henderson - [email protected]; Michael R Stallcup - [email protected]; Geoffrey L Greene - [email protected]; Michael F Press - [email protected] * Corresponding author Published: 30 January 2009 Received: 26 November 2008 Accepted: 30 January 2009 BMC Cancer 2009, 9:43 doi:10.1186/1471-2407-9-43 This article is available from: http://www.biomedcentral.com/1471-2407/9/43 © 2009 Haiman et al; licensee BioMed Central Ltd.