And Durum Wheat (Simeto) on the Physical Map
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Liver Med23 Ablation Improves Glucose and Lipid Metabolism Through Modulating FOXO1 Activity
Cell Research (2014) 24:1250-1265. npg © 2014 IBCB, SIBS, CAS All rights reserved 1001-0602/14 ORIGINAL ARTICLE www.nature.com/cr Liver Med23 ablation improves glucose and lipid metabolism through modulating FOXO1 activity Yajing Chu1, Leonardo Gómez Rosso1, Ping Huang2, Zhichao Wang1, Yichi Xu3, Xiao Yao1, Menghan Bao1, Jun Yan3, Haiyun Song2, Gang Wang1 1State Key Laboratory of Cell Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chi- nese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China; 2Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shang- hai 200031, China; 3CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China Mediator complex is a molecular hub integrating signaling, transcription factors, and RNA polymerase II (RNAPII) machinery. Mediator MED23 is involved in adipogenesis and smooth muscle cell differentiation, suggesting its role in energy homeostasis. Here, through the generation and analysis of a liver-specific Med23-knockout mouse, we found that liver Med23 deletion improved glucose and lipid metabolism, as well as insulin responsiveness, and prevented diet-induced obesity. Remarkably, acute hepatic Med23 knockdown in db/db mice significantly improved the lipid profile and glucose tolerance. Mechanistically, MED23 participates in gluconeogenesis and cholesterol synthesis through modulating the transcriptional activity of FOXO1, a key metabolic transcription factor. Indeed, hepatic Med23 deletion impaired the Mediator and RNAPII recruitment and attenuated the expression of FOXO1 target genes. Moreover, this functional interaction between FOXO1 and MED23 is evolutionarily conserved, as the in vivo activities of dFOXO in larval fat body and in adult wing can be partially blocked by Med23 knockdown in Drosophila. -
Generated by SRI International Pathway Tools Version 25.0, Authors S
An online version of this diagram is available at BioCyc.org. Biosynthetic pathways are positioned in the left of the cytoplasm, degradative pathways on the right, and reactions not assigned to any pathway are in the far right of the cytoplasm. Transporters and membrane proteins are shown on the membrane. Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_000238675-HmpCyc: Bacillus smithii 7_3_47FAA Cellular Overview Connections between pathways are omitted for legibility. -
Supplementary Table S1. Table 1. List of Bacterial Strains Used in This Study Suppl
Supplementary Material Supplementary Tables: Supplementary Table S1. Table 1. List of bacterial strains used in this study Supplementary Table S2. List of plasmids used in this study Supplementary Table 3. List of primers used for mutagenesis of P. intermedia Supplementary Table 4. List of primers used for qRT-PCR analysis in P. intermedia Supplementary Table 5. List of the most highly upregulated genes in P. intermedia OxyR mutant Supplementary Table 6. List of the most highly downregulated genes in P. intermedia OxyR mutant Supplementary Table 7. List of the most highly upregulated genes in P. intermedia grown in iron-deplete conditions Supplementary Table 8. List of the most highly downregulated genes in P. intermedia grown in iron-deplete conditions Supplementary Figures: Supplementary Figure 1. Comparison of the genomic loci encoding OxyR in Prevotella species. Supplementary Figure 2. Distribution of SOD and glutathione peroxidase genes within the genus Prevotella. Supplementary Table S1. Bacterial strains Strain Description Source or reference P. intermedia V3147 Wild type OMA14 isolated from the (1) periodontal pocket of a Japanese patient with periodontitis V3203 OMA14 PIOMA14_I_0073(oxyR)::ermF This study E. coli XL-1 Blue Host strain for cloning Stratagene S17-1 RP-4-2-Tc::Mu aph::Tn7 recA, Smr (2) 1 Supplementary Table S2. Plasmids Plasmid Relevant property Source or reference pUC118 Takara pBSSK pNDR-Dual Clonetech pTCB Apr Tcr, E. coli-Bacteroides shuttle vector (3) plasmid pKD954 Contains the Porpyromonas gulae catalase (4) -
(12) Patent Application Publication (10) Pub. No.: US 2014/0155567 A1 Burk Et Al
US 2014O155567A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2014/0155567 A1 Burk et al. (43) Pub. Date: Jun. 5, 2014 (54) MICROORGANISMS AND METHODS FOR (60) Provisional application No. 61/331,812, filed on May THE BIOSYNTHESIS OF BUTADENE 5, 2010. (71) Applicant: Genomatica, Inc., San Diego, CA (US) Publication Classification (72) Inventors: Mark J. Burk, San Diego, CA (US); (51) Int. Cl. Anthony P. Burgard, Bellefonte, PA CI2P 5/02 (2006.01) (US); Jun Sun, San Diego, CA (US); CSF 36/06 (2006.01) Robin E. Osterhout, San Diego, CA CD7C II/6 (2006.01) (US); Priti Pharkya, San Diego, CA (52) U.S. Cl. (US) CPC ................. CI2P5/026 (2013.01); C07C II/I6 (2013.01); C08F 136/06 (2013.01) (73) Assignee: Genomatica, Inc., San Diego, CA (US) USPC ... 526/335; 435/252.3:435/167; 435/254.2: (21) Appl. No.: 14/059,131 435/254.11: 435/252.33: 435/254.21:585/16 (22) Filed: Oct. 21, 2013 (57) ABSTRACT O O The invention provides non-naturally occurring microbial Related U.S. Application Data organisms having a butadiene pathway. The invention addi (63) Continuation of application No. 13/101,046, filed on tionally provides methods of using Such organisms to produce May 4, 2011, now Pat. No. 8,580,543. butadiene. Patent Application Publication Jun. 5, 2014 Sheet 1 of 4 US 2014/O155567 A1 ?ueudos!SMS |?un61– Patent Application Publication Jun. 5, 2014 Sheet 2 of 4 US 2014/O155567 A1 VOJ OO O Z?un61– Patent Application Publication US 2014/O155567 A1 {}}} Hººso Patent Application Publication Jun. -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal -
Properties of Chlorophyllase from Capsicum Annuum L. Fruits
Properties of Chlorophyllase from Capsicum annuum L. Fruits Dámaso Hornero-Méndez and Marí a Isabel Mínguez-Mosquera* Departamento de Biotecnologia de Alimentos, Instituto de la Grasa (CSIC), Av. Padre Garcia Tejero, 4, 41012-Sevilla, SPAIN. Fax: +34-954691262. E-mail: [email protected] * Author for correspondence and reprint requests Z. Naturforsch. 56c, 1015-1021 (2001); received June 27/August 6 , 2001 Chlorophyll, Chlorophyllase, Capsicum annuum The in vitro properties of semi-purified chlorophyllase (chlorophyll-chlorophyllido hy drolase, EC 3.1.1.14) from Capsicum annuum fruits have been studied. The enzyme showed an optimum of activity at pH 8.5 and 50 °C. Substrate specificity was studied for chlorophyll (Chi) a, Chi b, pheophytin (Phe) a and Phe b, with K m values of 10.70, 4.04, 2.67 and 6.37 ^im respectively. Substrate inhibition was found for Phe b at concentrations higher than 5 ^m. Chlorophyllase action on Chi a ’ and Chi b' was also studied but no hydrolysis was observed, suggesting that the mechanism of action depends on the configuration at C-132 in the chloro phyll molecule, with the enzyme acting only on compounds with R132 stereochemistry. The effect of various metals (Mg2+, Hg2+, Cu2+, Zn2+, Co , Fe2+ and Fe3+) was also investigated, and a general inhibitory effect was found, this being more marked for Hg2+ and Fe2+. Func tional groups such as -SH and -S-S- seemed to participate in the formation of the enzyme- substrate complex. Chelating ion and the carbonyl group at C3 appeared to be important in substrate recognition by the enzyme. -
770.Full-Text.Pdf
Published OnlineFirst January 14, 2019; DOI: 10.1158/1055-9965.EPI-18-0936 Research Article Cancer Epidemiology, Biomarkers Serum Metabolic Profiling Identified a Distinct & Prevention Metabolic Signature in Bladder Cancer Smokers: A Key Metabolic Enzyme Associated with Patient Survival Chandra Sekhar Amara1, Chandrashekar R. Ambati2, Venkatrao Vantaku1, Danthasinghe Waduge Badrajee Piyarathna1, Sri Ramya Donepudi2, Shiva Shankar Ravi1, James M. Arnold3, Vasanta Putluri2, Gurkamal Chatta4, Khurshid A. Guru5, Hoda Badr6, Martha K. Terris7, Roni J. Bollag7, Arun Sreekumar1,3, Andrea B. Apolo8, and Nagireddy Putluri1 Abstract Background: The current system to predict the outcome of nylalanine, proline, serine, valine, isoleucine, glycine, and smokers with bladder cancer is insufficient due to complex asparagine) and taurine were observed in bladder cancer genomic and transcriptomic heterogeneities. This study aims smokers. Integration of differential metabolomic gene signa- to identify serum metabolite-associated genes related to sur- ture and transcriptomics data from TCGA cohort revealed an vival in this population. intersection of 17 genes that showed significant correlation Methods: We performed LC/MS-based targeted metabo- with patient survival in bladder cancer smokers. Importantly, lomic analysis for >300 metabolites in serum obtained catechol-O-methyltransferase, iodotyrosine deiodinase, and from two independent cohorts of bladder cancer never tubulin tyrosine ligase showed a significant association with smokers, smokers, healthy smokers, and healthy never patient survival in publicly available bladder cancer smoker smokers. A subset of differential metabolites was validated datasets and did not have any clinical association in never using Biocrates absoluteIDQ p180 Kit. Genes associated smokers. with differential metabolites were integrated with a publicly Conclusions: Serum metabolic profiling of bladder cancer available cohort of The Cancer Genome Atlas (TCGA) to smokers revealed dysregulated amino acid metabolism. -
Structure of Pigment Metabolic Pathways and Their Contributions to White Tepal Color Formation of Chinese Narcissus Tazetta Var
International Journal of Molecular Sciences Article Structure of Pigment Metabolic Pathways and Their Contributions to White Tepal Color Formation of Chinese Narcissus tazetta var. chinensis cv Jinzhanyintai Yujun Ren † ID , Jingwen Yang †, Bingguo Lu, Yaping Jiang, Haiyang Chen, Yuwei Hong, Binghua Wu and Ying Miao * Center for Molecular Cell and Systems Biology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China; [email protected] (Y.R.); [email protected] (J.Y.); [email protected] (B.L.); [email protected] (Y.J.); [email protected] (H.C.); [email protected] (Y.H.); [email protected] (B.W.) * Correspondence: [email protected]; Tel.:/Fax: +86-591-8639-2987 † These authors contributed equally to this work. Received: 7 August 2017; Accepted: 4 September 2017; Published: 8 September 2017 Abstract: Chinese narcissus (Narcissus tazetta var. chinensis) is one of the ten traditional flowers in China and a famous bulb flower in the world flower market. However, only white color tepals are formed in mature flowers of the cultivated varieties, which constrains their applicable occasions. Unfortunately, for lack of genome information of narcissus species, the explanation of tepal color formation of Chinese narcissus is still not clear. Concerning no genome information, the application of transcriptome profile to dissect biological phenomena in plants was reported to be effective. As known, pigments are metabolites of related metabolic pathways, which dominantly decide flower color. In this study, transcriptome profile and pigment metabolite analysis methods were used in the most widely cultivated Chinese narcissus “Jinzhanyintai” to discover the structure of pigment metabolic pathways and their contributions to white tepal color formation during flower development and pigmentation processes. -
Sudips Revised Thesis
Investigation Of The Behavior Of The Gal4 Inhibitor Gal80 Of The GAL Genetic Switch In The Yeast Saccharomyces Cerevisiae Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Sudip Goswami, M.S. Graduate Program in Molecular Genetics The Ohio State University 2014 Dissertation Committee Dr. James Hopper, Advisor Dr. Stephen Osmani Dr. Hay-Oak Park Dr. Jian-Qiu Wu ii Copyright by Sudip Goswami 2014 iii ABSTRACT The DNA-binding transcriptional activator Gal4 and its regulators Gal80 and Gal3 constitute a galactose-responsive switch for the GAL genes of Saccharomyces cerevisiae. Gal4 binds to upstream activation sequences or UASGAL sites on GAL gene promoters as a dimer both in the absence and presence of galactose. In the absence of galactose, a Gal80 dimer binds to and masKs the Gal4 activation domain, inhibiting its activity. In the presence of galactose, Gal3 interacts with Gal80 and relieves Gal80’s inhibition of Gal4 activity allowing rapid induction of expression of GAL genes. In the first part of this work (Chapter 2) in-vitro chemical crosslinking coupled with SDS PAGE and native PAGE analysis were employed to show that the presence of Gal3 that can interact with Gal80 impairs Gal80 self association. In addition, live cell spinning disK confocal imaging showed that dissipation of newly discovered Gal80-2mYFP/2GFP clusters in galactose is dependent on Gal3’s ability to interact with Gal80. In the second part (Chapter 3), extensive analysis of Gal80 clusters was carried out which showed that these clusters associate strongly with the GAL1-10-7 locus and this association is dependent on the presence of the UASGAL sites at this locus. -
Table S1. List of Oligonucleotide Primers Used
Table S1. List of oligonucleotide primers used. Cla4 LF-5' GTAGGATCCGCTCTGTCAAGCCTCCGACC M629Arev CCTCCCTCCATGTACTCcgcGATGACCCAgAGCTCGTTG M629Afwd CAACGAGCTcTGGGTCATCgcgGAGTACATGGAGGGAGG LF-3' GTAGGCCATCTAGGCCGCAATCTCGTCAAGTAAAGTCG RF-5' GTAGGCCTGAGTGGCCCGAGATTGCAACGTGTAACC RF-3' GTAGGATCCCGTACGCTGCGATCGCTTGC Ukc1 LF-5' GCAATATTATGTCTACTTTGAGCG M398Arev CCGCCGGGCAAgAAtTCcgcGAGAAGGTACAGATACGc M398Afwd gCGTATCTGTACCTTCTCgcgGAaTTcTTGCCCGGCGG LF-3' GAGGCCATCTAGGCCATTTACGATGGCAGACAAAGG RF-5' GTGGCCTGAGTGGCCATTGGTTTGGGCGAATGGC RF-3' GCAATATTCGTACGTCAACAGCGCG Nrc2 LF-5' GCAATATTTCGAAAAGGGTCGTTCC M454Grev GCCACCCATGCAGTAcTCgccGCAGAGGTAGAGGTAATC M454Gfwd GATTACCTCTACCTCTGCggcGAgTACTGCATGGGTGGC LF-3' GAGGCCATCTAGGCCGACGAGTGAAGCTTTCGAGCG RF-5' GAGGCCTGAGTGGCCTAAGCATCTTGGCTTCTGC RF-3' GCAATATTCGGTCAACGCTTTTCAGATACC Ipl1 LF-5' GTCAATATTCTACTTTGTGAAGACGCTGC M629Arev GCTCCCCACGACCAGCgAATTCGATagcGAGGAAGACTCGGCCCTCATC M629Afwd GATGAGGGCCGAGTCTTCCTCgctATCGAATTcGCTGGTCGTGGGGAGC LF-3' TGAGGCCATCTAGGCCGGTGCCTTAGATTCCGTATAGC RF-5' CATGGCCTGAGTGGCCGATTCTTCTTCTGTCATCGAC RF-3' GACAATATTGCTGACCTTGTCTACTTGG Ire1 LF-5' GCAATATTAAAGCACAACTCAACGC D1014Arev CCGTAGCCAAGCACCTCGgCCGAtATcGTGAGCGAAG D1014Afwd CTTCGCTCACgATaTCGGcCGAGGTGCTTGGCTACGG LF-3' GAGGCCATCTAGGCCAACTGGGCAAAGGAGATGGA RF-5' GAGGCCTGAGTGGCCGTGCGCCTGTGTATCTCTTTG RF-3' GCAATATTGGCCATCTGAGGGCTGAC Kin28 LF-5' GACAATATTCATCTTTCACCCTTCCAAAG L94Arev TGATGAGTGCTTCTAGATTGGTGTCggcGAAcTCgAGCACCAGGTTG L94Afwd CAACCTGGTGCTcGAgTTCgccGACACCAATCTAGAAGCACTCATCA LF-3' TGAGGCCATCTAGGCCCACAGAGATCCGCTTTAATGC RF-5' CATGGCCTGAGTGGCCAGGGCTAGTACGACCTCG -
SUPPLEMENTARY INFORMATION in Silico Signature Prediction
SUPPLEMENTARY INFORMATION In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains Maryam Javadi, Mana Oloomi*, Saeid Bouzari Department of Molecular Biology, Pasteur Institute of Iran, Tehran 13164, Iran http://www.genominfo.org/src/sm/gni-15-69-s001.pdf Supplementary Table 6. Aalphabetic abbreviation and description of putative conserved domains Alphabetic Abbreviation Description 17 Large terminase protein 2_A_01_02 Multidrug resistance protein 2A0115 Benzoate transport; [Transport and binding proteins, Carbohydrates, organic alcohols] 52 DNA topisomerase II medium subunit; Provisional AAA_13 AAA domain; This family of domains contain a P-loop motif AAA_15 AAA ATPase domain; This family of domains contain a P-loop motif AAA_21 AAA domain AAA_23 AAA domain ABC_RecF ATP-binding cassette domain of RecF; RecF is a recombinational DNA repair ATPase ABC_SMC_barmotin ATP-binding cassette domain of barmotin, a member of the SMC protein family AcCoA-C-Actrans Acetyl-CoA acetyltransferases AHBA_syn 3-Amino-5-hydroxybenzoic acid synthase family (AHBA_syn) AidA Type V secretory pathway, adhesin AidA [Cell envelope biogenesis] Ail_Lom Enterobacterial Ail/Lom protein; This family consists of several bacterial and phage Ail_Lom proteins AIP3 Actin interacting protein 3; Aip3p/Bud6p is a regulator of cell and cytoskeletal polarity Aldose_epim_Ec_YphB Aldose 1-epimerase, similar to Escherichia coli YphB AlpA Predicted transcriptional regulator [Transcription] AntA AntA/AntB antirepressor AraC AraC-type