Complement Activation in Peritoneal Dialysis–Induced Arteriolopathy
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DEPs in osteosarcoma cells comparing to osteoblastic cells Biological Process Protein Percentage of Hits metabolic process (GO:0008152) 29.3 29.3% cellular process (GO:0009987) 20.2 20.2% localization (GO:0051179) 9.4 9.4% biological regulation (GO:0065007) 8 8.0% developmental process (GO:0032502) 7.8 7.8% response to stimulus (GO:0050896) 5.6 5.6% cellular component organization (GO:0071840) 5.6 5.6% multicellular organismal process (GO:0032501) 4.4 4.4% immune system process (GO:0002376) 4.2 4.2% biological adhesion (GO:0022610) 2.7 2.7% apoptotic process (GO:0006915) 1.6 1.6% reproduction (GO:0000003) 0.8 0.8% locomotion (GO:0040011) 0.4 0.4% cell killing (GO:0001906) 0.1 0.1% 100.1% Genes 2179Hits 3870 biological adhesion apoptotic process … reproduction (GO:0000003) , 0.8% (GO:0022610) , 2.7% locomotion (GO:0040011) ,… immune system process cell killing (GO:0001906) , 0.1% (GO:0002376) , 4.2% multicellular organismal process (GO:0032501) , metabolic process 4.4% (GO:0008152) , 29.3% cellular component organization (GO:0071840) , 5.6% response to stimulus (GO:0050896), 5.6% developmental process (GO:0032502) , 7.8% biological regulation (GO:0065007) , 8.0% cellular process (GO:0009987) , 20.2% localization (GO:0051179) , 9. -
Amplitaq and Amplitaq Gold DNA Polymerase
AmpliTaq and AmpliTaq Gold DNA Polymerase The Most Referenced Brand of DNA Polymerase in the World Date: 2005-05 Notes: Authors are listed alphabetically J. Biol. Chem. (223) Ezoe, S., I. Matsumura, et al. (2005). "GATA Transcription Factors Inhibit Cytokine-dependent Growth and Survival of a Hematopoietic Cell Line through the Inhibition of STAT3 Activity." J. Biol. Chem. 280(13): 13163-13170. http://www.jbc.org/cgi/content/abstract/280/13/13163 Although GATA-1 and GATA-2 were shown to be essential for the development of hematopoietic cells by gene targeting experiments, they were also reported to inhibit the growth of hematopoietic cells. Therefore, in this study, we examined the effects of GATA-1 and GATA-2 on cytokine signals. A tamoxifen-inducible form of GATA-1 (GATA-1/ERT) showed a minor inhibitory effect on interleukin-3 (IL-3)-dependent growth of an IL-3-dependent cell line Ba/F3. On the other hand, it drastically inhibited TPO-dependent growth and gp130-mediated growth/survival of Ba/F3. Similarly, an estradiol-inducible form of GATA-2 (GATA-2/ER) disrupted thrombopoietin (TPO)-dependent growth and gp130-mediated growth/survival of Ba/F3. As for this mechanism, we found that both GATA-1 and GATA-2 directly bound to STAT3 both in vitro and in vivo and inhibited its DNA-binding activity in gel shift assays and chromatin immunoprecipitation assays, whereas they hardly affected STAT5 activity. In addition, endogenous GATA-1 was found to interact with STAT3 in normal megakaryocytes, suggesting that GATA-1 may inhibit STAT3 activity in normal hematopoietic cells. -
Acetyl-Coa Synthetase 3 Promotes Bladder Cancer Cell Growth Under Metabolic Stress Jianhao Zhang1, Hongjian Duan1, Zhipeng Feng1,Xinweihan1 and Chaohui Gu2
Zhang et al. Oncogenesis (2020) 9:46 https://doi.org/10.1038/s41389-020-0230-3 Oncogenesis ARTICLE Open Access Acetyl-CoA synthetase 3 promotes bladder cancer cell growth under metabolic stress Jianhao Zhang1, Hongjian Duan1, Zhipeng Feng1,XinweiHan1 and Chaohui Gu2 Abstract Cancer cells adapt to nutrient-deprived tumor microenvironment during progression via regulating the level and function of metabolic enzymes. Acetyl-coenzyme A (AcCoA) is a key metabolic intermediate that is crucial for cancer cell metabolism, especially under metabolic stress. It is of special significance to decipher the role acetyl-CoA synthetase short chain family (ACSS) in cancer cells confronting metabolic stress. Here we analyzed the generation of lipogenic AcCoA in bladder cancer cells under metabolic stress and found that in bladder urothelial carcinoma (BLCA) cells, the proportion of lipogenic AcCoA generated from glucose were largely reduced under metabolic stress. Our results revealed that ACSS3 was responsible for lipogenic AcCoA synthesis in BLCA cells under metabolic stress. Interestingly, we found that ACSS3 was required for acetate utilization and histone acetylation. Moreover, our data illustrated that ACSS3 promoted BLCA cell growth. In addition, through analyzing clinical samples, we found that both mRNA and protein levels of ACSS3 were dramatically upregulated in BLCA samples in comparison with adjacent controls and BLCA patients with lower ACSS3 expression were entitled with longer overall survival. Our data revealed an oncogenic role of ACSS3 via regulating AcCoA generation in BLCA and provided a promising target in metabolic pathway for BLCA treatment. 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; Introduction acetyl-CoA synthetase short chain family (ACSS), which In cancer cells, considerable number of metabolic ligates acetate and CoA6. -
Β-Catenin Confers Resistance to PI3K and AKT Inhibitors and Subverts Foxo3a to Promote Metastasis in Colon Cancer
β-catenin Confers Resistance to PI3K and AKT inhibitors and Subverts FOXO3a to Promote Metastasis in Colon Cancer Stephan P. Tenbaum1§, Paloma Ordóñez-Morán2§#, Isabel Puig1§, Irene Chicote1, Oriol Arqués1, Stefania Landolfi3, Yolanda Fernández4, José Raúl Herance5, Juan D. Gispert5, Leire Mendizabal6, Susana Aguilar7, Santiago Ramón y Cajal3, Simó Schwartz Jr4, Ana Vivancos6, Eloy Espín8, Santiago Rojas5, José Baselga9, Josep Tabernero10, Alberto Muñoz2, Héctor G. Palmer1* 1 Vall d’Hebrón Institut d´Oncología (VHIO). Stem Cells and Cancer Laboratory. Barcelona, Spain. 2 Instituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain. 3 Department of Pathology, Hospital Universitari Vall d'Hebrón, Universitat Autònoma de Barcelona, Barcelona, Spain. 4 Group of Drug Delivery and Targeting, CIBBIM-Nanomedicine and Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Hospital Universitari Vall d’Hebrón, Institut de Recerca Vall d’Hebrón, Universitat Autònoma de Barcelona, Barcelona, Spain. 5 Parc de Recerca Biomèdica de Barcelona (PRBB), Centre d´Imatge Molecular (CRC) Corporació Sanitària, Barcelona, Spain. 6 Vall d’Hebrón Institut d´Oncología (VHIO). Genomics Cancer Group. Barcelona, Spain. 7 Centre for Respiratory Research, Rayne Institute, University College London, London, United Kingdom, Hematopoietic Stem Cell Laboratory, London Research Institute, Cancer Research UK, London, United Kingdom. 8 General Surgery Service, Hospital Universitari Vall d'Hebrón, Barcelona, Spain. 9 Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, USA; Howard Hughes Medical Institute, Chevy Chase, USA. 10 Medical Oncology Department, Hospital Universitari Vall d'Hebrón, Barcelona, Spain. # Swiss Institute for Experimental Cancer Research, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. -
CYP2A6) by P53
Transcriptional Regulation of Human Stress Responsive Cytochrome P450 2A6 (CYP2A6) by p53 Hao Hu M.Biotech. (Biotechnology) 2012 The University of Queensland B.B.A. 2009 University of Electronic Science and Technology of China B.Sc. (Pharmacy) 2009 University of Electronic Science and Technology of China A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2016 School of Medicine ABSTRACT Human cytochrome P450 (CYP) 2A6 is highly expressed in the liver and the encoding gene is regulated by various stress activated transcription factors, such as the nuclear factor (erythroid-derived 2)-like 2 (Nrf-2). Unlike the other xenobiotic metabolising CYP enzymes (XMEs), CYP2A6 only plays a minor role in xenobiotic metabolism. The CYP2A6 is highly induced by multiple forms of cellular stress conditions, where XMEs expression is normally inhibited. Recent findings suggest that the CYP2A6 plays an important role in regulating BR homeostasis. A computer based sequence analysis on the 3 kb proximate CYP2A6 promoter revealed several putative binding sites for p53, a protein that mediates regulation of antioxidant and apoptosis pathways. In this study, the role of p53 in CYP2A6 gene regulation is demonstrated. The site closest to transcription start site (TSS) is highly homologous with the p53 consensus sequence. The p53 responsiveness of this site was confirmed by transfections with various stepwise deleted of CYP2A6-5’-Luc constructs containing the putative p53RE. Deletion of the putative p53RE resulted in a total abolishment of p53 responsiveness of CYP2A6 promoter. Specific binding of p53 to the putative p53RE was detected by electrophoresis mobility shift assay. -
1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN. -
Supplementary Materials
1 Supplementary Materials: Supplemental Figure 1. Gene expression profiles of kidneys in the Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice. (A) A heat map of microarray data show the genes that significantly changed up to 2 fold compared between Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice (N=4 mice per group; p<0.05). Data show in log2 (sample/wild-type). 2 Supplemental Figure 2. Sting signaling is essential for immuno-phenotypes of the Fcgr2b-/-lupus mice. (A-C) Flow cytometry analysis of splenocytes isolated from wild-type, Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice at the age of 6-7 months (N= 13-14 per group). Data shown in the percentage of (A) CD4+ ICOS+ cells, (B) B220+ I-Ab+ cells and (C) CD138+ cells. Data show as mean ± SEM (*p < 0.05, **p<0.01 and ***p<0.001). 3 Supplemental Figure 3. Phenotypes of Sting activated dendritic cells. (A) Representative of western blot analysis from immunoprecipitation with Sting of Fcgr2b-/- mice (N= 4). The band was shown in STING protein of activated BMDC with DMXAA at 0, 3 and 6 hr. and phosphorylation of STING at Ser357. (B) Mass spectra of phosphorylation of STING at Ser357 of activated BMDC from Fcgr2b-/- mice after stimulated with DMXAA for 3 hour and followed by immunoprecipitation with STING. (C) Sting-activated BMDC were co-cultured with LYN inhibitor PP2 and analyzed by flow cytometry, which showed the mean fluorescence intensity (MFI) of IAb expressing DC (N = 3 mice per group). 4 Supplemental Table 1. Lists of up and down of regulated proteins Accession No. -
Circular RNA Hsa Circ 0005114‑Mir‑142‑3P/Mir‑590‑5P‑ Adenomatous
ONCOLOGY LETTERS 21: 58, 2021 Circular RNA hsa_circ_0005114‑miR‑142‑3p/miR‑590‑5p‑ adenomatous polyposis coli protein axis as a potential target for treatment of glioma BO WEI1*, LE WANG2* and JINGWEI ZHAO1 1Department of Neurosurgery, China‑Japan Union Hospital of Jilin University, Changchun, Jilin 130033; 2Department of Ophthalmology, The First Hospital of Jilin University, Jilin University, Changchun, Jilin 130021, P.R. China Received September 12, 2019; Accepted October 22, 2020 DOI: 10.3892/ol.2020.12320 Abstract. Glioma is the most common type of brain tumor APC expression with a good overall survival rate. UALCAN and is associated with a high mortality rate. Despite recent analysis using TCGA data of glioblastoma multiforme and the advances in treatment options, the overall prognosis in patients GSE25632 and GSE103229 microarray datasets showed that with glioma remains poor. Studies have suggested that circular hsa‑miR‑142‑3p/hsa‑miR‑590‑5p was upregulated and APC (circ)RNAs serve important roles in the development and was downregulated. Thus, hsa‑miR‑142‑3p/hsa‑miR‑590‑5p‑ progression of glioma and may have potential as therapeutic APC‑related circ/ceRNA axes may be important in glioma, targets. However, the expression profiles of circRNAs and their and hsa_circ_0005114 interacted with both of these miRNAs. functions in glioma have rarely been studied. The present study Functional analysis showed that hsa_circ_0005114 was aimed to screen differentially expressed circRNAs (DECs) involved in insulin secretion, while APC was associated with between glioma and normal brain tissues using sequencing the Wnt signaling pathway. In conclusion, hsa_circ_0005114‑ data collected from the Gene Expression Omnibus database miR‑142‑3p/miR‑590‑5p‑APC ceRNA axes may be potential (GSE86202 and GSE92322 datasets) and explain their mecha‑ targets for the treatment of glioma. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Genes Investigated
BabyNEXTTM EXTENDED Investigated genes and associated diseases Gene Disease OMIM OMIM Condition RUSP gene Disease ABCC8 Familial hyperinsulinism 600509 256450 Metabolic disorder - ABCC8-related Inborn error of amino acid metabolism ABCD1 Adrenoleukodystrophy 300371 300100 Miscellaneous RUSP multisystem (C) * diseases ABCD4 Methylmalonic aciduria and 603214 614857 Metabolic disorder - homocystinuria, cblJ type Inborn error of amino acid metabolism ACAD8 Isobutyryl-CoA 604773 611283 Metabolic Disorder - RUSP dehydrogenase deficiency Inborn error of (S) ** organic acid metabolism ACAD9 acyl-CoA dehydrogenase-9 611103 611126 Metabolic Disorder - (ACAD9) deficiency Inborn error of fatty acid metabolism ACADM Acyl-CoA dehydrogenase, 607008 201450 Metabolic Disorder - RUSP medium chain, deficiency of Inborn error of fatty (C) acid metabolism ACADS Acyl-CoA dehydrogenase, 606885 201470 Metabolic Disorder - RUSP short-chain, deficiency of Inborn error of fatty (S) acid metabolism ACADSB 2-methylbutyrylglycinuria 600301 610006 Metabolic Disorder - RUSP Inborn error of (S) organic acid metabolism ACADVL very long-chain acyl-CoA 609575 201475 Metabolic Disorder - RUSP dehydrogenase deficiency Inborn error of fatty (C) acid metabolism ACAT1 Alpha-methylacetoacetic 607809 203750 Metabolic Disorder - RUSP aciduria Inborn error of (C) organic acid metabolism ACSF3 Combined malonic and 614245 614265 Metabolic Disorder - methylmalonic aciduria Inborn error of organic acid metabolism 1 ADA Severe combined 608958 102700 Primary RUSP immunodeficiency due -
SUPPLEMENTARY TABLES and FIGURE LEGENDS Supplementary
SUPPLEMENTARY TABLES AND FIGURE LEGENDS Supplementary Figure 1. Quantitation of MYC levels in vivo and in vitro. a) MYC levels in cell lines 6814, 6816, 5720, 966, and 6780 (corresponding to first half of Figure 1a in main text). MYC is normalized to tubulin. b) MYC quantitations (normalized to tubulin) for cell lines Daudi, Raji, Jujoye, KRA, KRB, GM, and 6780 corresponding to second half of Figure 1a. c) In vivo MYC quantitations, for mice treated with 0-0.5 ug/ml doxycycline in their drinking water. MYC is normalized to tubulin. d) Quantitation of changing MYC levels during in vitro titration, normalized to tubulin. e) Levels of Odc (normalized to tubulin) follow MYC levels in titration series. Supplementary Figure 2. Evaluation of doxycycline concentration in the plasma of mice treated with doxycycline in their drinking water. Luciferase expressing CHO cells (Tet- off) (Clonethech Inc) that is responsive to doxycycline by turning off luciferase expression was treated with different concentrations of doxycycline in culture. A standard curve (blue line) correlating luciferase activity (y-axis) with treatment of doxycycline (x- axis) was generated for the CHO cell in culture. Plasma from mice treated with different concentrations of doxycycline in their drinking water was separated and added to the media of the CHO cells. Luciferase activity was measured and plotted on the standard curve (see legend box). The actual concentration of doxycycline in the plasma was extrapolated for the luciferase activity measured. The doxycycline concentration 0.2 ng/ml measured in the plasma of mice correlates with 0.05 μg/ml doxycycline treatment in the drinking water of mice, the in vivo threshold for tumor regression. -
Type of the Paper (Article
Supplementary Material A Proteomics Study on the Mechanism of Nutmeg-induced Hepatotoxicity Wei Xia 1, †, Zhipeng Cao 1, †, Xiaoyu Zhang 1 and Lina Gao 1,* 1 School of Forensic Medicine, China Medical University, Shenyang 110122, P. R. China; lessen- [email protected] (W.X.); [email protected] (Z.C.); [email protected] (X.Z.) † The authors contributed equally to this work. * Correspondence: [email protected] Figure S1. Table S1. Peptide fraction separation liquid chromatography elution gradient table. Time (min) Flow rate (mL/min) Mobile phase A (%) Mobile phase B (%) 0 1 97 3 10 1 95 5 30 1 80 20 48 1 60 40 50 1 50 50 53 1 30 70 54 1 0 100 1 Table 2. Liquid chromatography elution gradient table. Time (min) Flow rate (nL/min) Mobile phase A (%) Mobile phase B (%) 0 600 94 6 2 600 83 17 82 600 60 40 84 600 50 50 85 600 45 55 90 600 0 100 Table S3. The analysis parameter of Proteome Discoverer 2.2. Item Value Type of Quantification Reporter Quantification (TMT) Enzyme Trypsin Max.Missed Cleavage Sites 2 Precursor Mass Tolerance 10 ppm Fragment Mass Tolerance 0.02 Da Dynamic Modification Oxidation/+15.995 Da (M) and TMT /+229.163 Da (K,Y) N-Terminal Modification Acetyl/+42.011 Da (N-Terminal) and TMT /+229.163 Da (N-Terminal) Static Modification Carbamidomethyl/+57.021 Da (C) 2 Table S4. The DEPs between the low-dose group and the control group. Protein Gene Fold Change P value Trend mRNA H2-K1 0.380 0.010 down Glutamine synthetase 0.426 0.022 down Annexin Anxa6 0.447 0.032 down mRNA H2-D1 0.467 0.002 down Ribokinase Rbks 0.487 0.000