Table S2: Differentially Expressed Genes in Monocytes from SJIA
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
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. -
Tranexamic Acid Inhibits the Plasma and Non-Irradiated Skin Markers Of
Biomedicine & Pharmacotherapy 107 (2018) 54–58 Contents lists available at ScienceDirect Biomedicine & Pharmacotherapy journal homepage: www.elsevier.com/locate/biopha Original Article Tranexamic acid inhibits the plasma and non-irradiated skin markers of photoaging induced by long-term UVA eye irradiation in female mice T ⁎ Keiichi Hiramotoa, , Yurika Yamatea, Daijiro Sugiyamab, Kazunari Matsudab, Yasutaka Iizukab, Tomohiko Yamaguchib a Department of Pharmaceutical Sciences, Suzuka University of Medical Science, 3500-3 Minamitamagakicho, Suzuka, Mie, 513-8670, Japan b R&D Department, Daiichi Sankyo Healthcare Co., LTD., 3-14-10 Nihonbashi, Chuo-ku, Tokyo, 103-8234, Japan ARTICLE INFO ABSTRACT Keywords: Photoaging can be induced by long-term ultraviolet (UV)A eye irradiation, but an ameliorating method for such Tranexamic acid photoaging is not known. In this study, we examined the effects of tranexamic acid (trans-4-aminomethylcy- Photoaging clohexanecarboxylic acid) on photoaging of the skin induced by UVA eye irradiation. We used the C57BL/6 j Urocortin 2 female mice and locally exposed their eyes to UVA at a dose of 110 kJ/m2 using an FL20SBLB-A lamp multiple β-Endorphin times a week for one year. The plasma urocortin 2, β-endorphin, methionine enkephalin (OGF), and histamine Methionine encephalin content, as well as the expression of the corticotropin-releasing hormone receptor (CRHR) type 2, μ-opioid Histamine Estrogen receptor-β receptor, opioid growth factor receptor (OGFR), T-bet, and GATA3 increased in the mice subjected to UVA eye irradiation. However, the increased levels of urocortin 2, methionine enkephalin, histamine, OGFR, T-bet, and GATA3 were suppressed by tranexamic acid treatment. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Synthetic Lethal Screen Demonstrates That a JAK2 Inhibitor Suppresses a BCL6 Dependent IL10RA/JAK2/STAT3 Pathway in High Grade B-Cell Lymphoma
BCL6 suppresses an IL10RA/JAK2/STAT3 pathway Synthetic lethal screen demonstrates that a JAK2 inhibitor suppresses a BCL6 dependent IL10RA/JAK2/STAT3 pathway in high grade B-cell lymphoma. Daniel Beck1,6, Jenny Zobel3,6, Ruth Barber1,2,6, Sian Evans1, Larissa Lezina1, Rebecca L. Allchin1, Matthew Blades4, Richard Elliott5, Christopher J. Lord5, Alan Ashworth5, Andrew C.G. Porter3, Simon D. Wagner1 1Department of Cancer Studies, Ernest and Helen Scott Haematology Research Institute and, 2 Leicester Diagnostic and Drug Development (LD3) Centre, University of Leicester, Lancaster Road, Leicester LE1 7HB, UK, 3Department of Haematology, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, UK. 4Bioinformatics and Biostatistics Analysis Support Hub (B/BASH), University of Leicester, Lancaster Road, Leicester LE1 9HN and 5The Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK. 6The first three authors contributed equally to this work Running title: BCL6 suppresses an IL10RA/JAK2/STAT3 pathway. To whom correspondence should be addressed: Simon D. Wagner, Department of Cancer Studies, Room 104, Hodgkin Building, University of Leicester, Lancaster Road, Leicester LE1 7HB, UK. Tel: 0441162525584, Fax: 0441162525616, Email: [email protected] Keywords: cancer therapy, Janus kinase (JAK), lymphocyte, lymphoma, transcription factor, B-cell lymphoma 6 (BCL-6), synthetic lethal screen. ABSTRACT which shows higher levels of IL10RA, JAK2 and We demonstrate the usefulness of synthetic lethal STAT3 but lower levels of BCL6 than GC- screening of a conditionally BCL6 deficient DLBCL and might be usefully combined with Burkitt lymphoma cell line, DG75-AB7, with a novel approaches such as inhibition of IL10RA. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Supplementary Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
Tpit (TBX19) (NM 005149) Human Recombinant Protein Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TP310787 Tpit (TBX19) (NM_005149) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Recombinant protein of human T-box 19 (TBX19) Species: Human Expression Host: HEK293T Tag: C-Myc/DDK Predicted MW: 48.1 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25 mM Tris.HCl, pH 7.3, 100 mM glycine, 10% glycerol Bioactivity: ELISpot (PMID: 30008158) Preparation: Recombinant protein was captured through anti-DDK affinity column followed by conventional chromatography steps. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_005140 Locus ID: 9095 UniProt ID: O60806, B3KRD9 RefSeq Size: 2882 Cytogenetics: 1q24.2 RefSeq ORF: 1344 Synonyms: dJ747L4.1; TBS19; TPIT This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 Tpit (TBX19) (NM_005149) Human Recombinant Protein – TP310787 Summary: This gene is a member of a phylogenetically conserved family of genes that share a common DNA-binding domain, the T-box. T-box genes encode transcription factors involved in the regulation of developmental processes. Mutations in this gene were found in patients with isolated deficiency of pituitary POMC-derived ACTH, suggesting an essential role for this gene in differentiation of the pituitary POMC lineage. -
Genome-Wide DNA Methylation Profiling Reveals Methylation Markers
Author Manuscript Published OnlineFirst on January 24, 2017; DOI: 10.1158/1078-0432.CCR-16-2641 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. 1 Genome-wide DNA methylation profiling reveals methylation markers 2 associated with 3q gain for detection of cervical pre-cancer and cancer 3 4 Wina Verlaat1, Peter J.F. Snijders1, Putri W. Novianti1,2, Saskia M. Wilting1, Lise M.A. De Strooper1, 5 Geert Trooskens3,Johan Vandersmissen3, Wim Van Criekinge3, G. Bea A. Wisman4, Chris J.L.M. 6 Meijer1, Daniëlle A.M. Heideman1, Renske D.M. Steenbergen1 * 7 8 1Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands 9 2Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The 10 Netherlands 11 3Department of Mathematical Modeling, Statistics and Bioinformatics, Ghent University, Ghent, 12 Belgium. 13 4Department of Gynecologic Oncology, Cancer Research Center Groningen, University of Groningen, 14 University Medical Center Groningen, Groningen, The Netherlands 15 16 Running title: 17 Methylation markers at 3q for cervical pre(cancer) detection 18 19 Key words: 20 Methyl Binding Domain/MBD-Seq, epigenetics, copy number aberrations, cervical carcinogenesis, 21 biomarkers 22 23 Additional information: 24 * Corresponding author: 25 Renske D.M. Steenbergen, PhD, Department of Pathology, VU University Medical Center, PO Box 26 7057, 1007 MB Amsterdam; The Netherlands, E-mail: [email protected] 27 28 Financial support: 29 This study was sponsored by Eurostars E!6679 Cervix-care and the European Research Council (ERC 30 advanced 2012- AdG, proposal 322986; Mass-Care). The sources of funding did not have any 31 influence on the design of the study, collection, analysis and interpretation of the data and in writing 32 the manuscript. -
Investigation Into the Effect of LRRK2-Rab10 Protein Interactions on the Proboscis Extension Response of the Fruit Fly Drosophila Melanogaster
Investigation into the effect of LRRK2-Rab10 protein interactions on the Proboscis Extension Response of the fruit fly Drosophila melanogaster Laura Covill Masters by Research University of York Biology December 2018 Abstract Parkinson’s Disease (PD) is a debilitating disease which affects 1% of the population worldwide and is characterised by stiffness, tremor and bradykinesia. PD is a complex disease with many suspected genetic and environmental causes, and it is critical to understand all the pathways involved in disease progression to develop effective therapies for PD, which currently has no cure. A kinase- coding gene, LRRK2 has emerged as a focal point for much PD research, particularly PD-associated SNP LRRK2-G2019S, which leads to LRRK2 overactivity. Rab proteins, a series of small GTPases, have been identified among the proteins phosphorylated by LRRK2. These interactions may be modelled in the fruit fly Drosophila melanogaster. Using optogenetics in the fly, this project investigates the relationship between the LRRK2-G2019S and Rab10 interaction, and the speed and degree of tremor of Proboscis Extension Response (PER) by triggering a PER in fly lines of different genotypes. Significant bradykinesia in Rab10 null flies which was not recreated in flies with dopaminergic neuron Rab10RNAi suggests that the bradykinesia PER phenotype is caused by off-target effect of Rab10-KO in another tissue of the fly than the dopaminergic neurons. Over-expression of Rab10 in dopaminergic neurons of flies also expressing LRRK2-G2019S produced -
CHML Promotes Liver Cancer Metastasis by Facilitating Rab14 Recycle
ARTICLE https://doi.org/10.1038/s41467-019-10364-0 OPEN CHML promotes liver cancer metastasis by facilitating Rab14 recycle Tian-Wei Chen1,2,3, Fen-Fen Yin1,2, Yan-Mei Yuan1,2, Dong-Xian Guan1, Erbin Zhang1,2, Feng-Kun Zhang1,2, Hao Jiang1,2, Ning Ma1,2, Jing-Jing Wang1, Qian-Zhi Ni1,2, Lin Qiu1, Jing Feng3, Xue-Li Zhang3, Ying Bao4, Kang Wang5, Shu-Qun Cheng5, Xiao-Fan Wang6, Xiang Wang7, Jing-Jing Li1,2 & Dong Xie1,2,8,9 Metastasis-associated recurrence is the major cause of poor prognosis in hepatocellular 1234567890():,; carcinoma (HCC), however, the underlying mechanisms remain largely elusive. In this study, we report that expression of choroideremia-like (CHML) is increased in HCC, associated with poor survival, early recurrence and more satellite nodules in HCC patients. CHML promotes migration, invasion and metastasis of HCC cells, in a Rab14-dependent manner. Mechanism study reveals that CHML facilitates constant recycling of Rab14 by escorting Rab14 to the membrane. Furthermore, we identify several metastasis regulators as cargoes carried by Rab14-positive vesicles, including Mucin13 and CD44, which may contribute to metastasis- promoting effects of CHML. Altogether, our data establish CHML as a potential promoter of HCC metastasis, and the CHML-Rab14 axis may be a promising therapeutic target for HCC. 1 CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Xuhui district 200031, China. 2 University of Chinese Academy of Sciences, Chinese Academy of Sciences, Xuhui district 200031, China. 3 Department of General Surgery, Fengxian Hospital Affiliated to Southern Medical University, 6600 Nanfeng Road, Shanghai 201499, China. -
G Protein-Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading.