Abnormal Islet Sphingolipid Metabolism in Type 1 Diabetes
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Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
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. -
743914V1.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/743914; this version posted August 24, 2019. 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. 1 Cross-talks of glycosylphosphatidylinositol biosynthesis with glycosphingolipid biosynthesis 2 and ER-associated degradation 3 4 Yicheng Wang1,2, Yusuke Maeda1, Yishi Liu3, Yoko Takada2, Akinori Ninomiya1, Tetsuya 5 Hirata1,2,4, Morihisa Fujita3, Yoshiko Murakami1,2, Taroh Kinoshita1,2,* 6 7 1Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan 8 2WPI Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, 9 Japan 10 3Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, 11 School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China 12 4Current address: Center for Highly Advanced Integration of Nano and Life Sciences (G- 13 CHAIN), Gifu University, 1-1 Yanagido, Gifu-City, Gifu 501-1193, Japan 14 15 *Correspondence and requests for materials should be addressed to T.K. (email: 16 [email protected]) 17 18 19 Glycosylphosphatidylinositol (GPI)-anchored proteins and glycosphingolipids interact with 20 each other in the mammalian plasma membranes, forming dynamic microdomains. How their 21 interaction starts in the cells has been unclear. Here, based on a genome-wide CRISPR-Cas9 22 genetic screen for genes required for GPI side-chain modification by galactose in the Golgi 23 apparatus, we report that b1,3-galactosyltransferase 4 (B3GALT4), also called GM1 24 ganglioside synthase, additionally functions in transferring galactose to the N- 25 acetylgalactosamine side-chain of GPI. -
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 -
Cross-Talks of Glycosylphosphatidylinositol Biosynthesis with Glycosphingolipid Biosynthesis and ER-Associated Degradation
ARTICLE https://doi.org/10.1038/s41467-020-14678-2 OPEN Cross-talks of glycosylphosphatidylinositol biosynthesis with glycosphingolipid biosynthesis and ER-associated degradation Yicheng Wang 1,2, Yusuke Maeda 1, Yi-Shi Liu3, Yoko Takada 2, Akinori Ninomiya 1, Tetsuya Hirata1,2,4, ✉ Morihisa Fujita3, Yoshiko Murakami 1,2 & Taroh Kinoshita 1,2 1234567890():,; Glycosylphosphatidylinositol (GPI)-anchored proteins and glycosphingolipids interact with each other in the mammalian plasma membranes, forming dynamic microdomains. How their interaction starts in the cells has been unclear. Here, based on a genome-wide CRISPR-Cas9 genetic screen for genes required for GPI side-chain modification by galactose in the Golgi apparatus, we report that β1,3-galactosyltransferase 4 (B3GALT4), the previously char- acterized GM1 ganglioside synthase, additionally functions in transferring galactose to the N- acetylgalactosamine side-chain of GPI. Furthermore, B3GALT4 requires lactosylceramide for the efficient GPI side-chain galactosylation. Thus, our work demonstrates previously unex- pected functional relationships between GPI-anchored proteins and glycosphingolipids in the Golgi. Through the same screening, we also show that GPI biosynthesis in the endoplasmic reticulum (ER) is severely suppressed by ER-associated degradation to prevent GPI accu- mulation when the transfer of synthesized GPI to proteins is defective. Our data demon- strates cross-talks of GPI biosynthesis with glycosphingolipid biosynthesis and the ER quality control system. 1 Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan. 2 WPI Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan. 3 Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China. -
Disorders of Sphingolipid Synthesis, Sphingolipidoses, Niemann-Pick Disease Type C and Neuronal Ceroid Lipofuscinoses
551 38 Disorders of Sphingolipid Synthesis, Sphingolipidoses, Niemann-Pick Disease Type C and Neuronal Ceroid Lipofuscinoses Marie T. Vanier, Catherine Caillaud, Thierry Levade 38.1 Disorders of Sphingolipid Synthesis – 553 38.2 Sphingolipidoses – 556 38.3 Niemann-Pick Disease Type C – 566 38.4 Neuronal Ceroid Lipofuscinoses – 568 References – 571 J.-M. Saudubray et al. (Eds.), Inborn Metabolic Diseases, DOI 10.1007/978-3-662-49771-5_ 38 , © Springer-Verlag Berlin Heidelberg 2016 552 Chapter 38 · Disor ders of Sphingolipid Synthesis, Sphingolipidoses, Niemann-Pick Disease Type C and Neuronal Ceroid Lipofuscinoses O C 22:0 (Fatty acid) Ganglio- series a series b HN OH Sphingosine (Sphingoid base) OH βββ β βββ β Typical Ceramide (Cer) -Cer -Cer GD1a GT1b Glc ββββ βββ β Gal -Cer -Cer Globo-series GalNAc GM1a GD1b Neu5Ac βαββ -Cer Gb4 ββ β ββ β -Cer -Cer αβ β -Cer GM2 GD2 Sphingomyelin Pcholine-Cer Gb3 B4GALNT1 [SPG46] [SPG26] β β β ββ ββ CERS1-6 GBA2 -Cer -Cer ST3GAL5 -Cer -Cer So1P So Cer GM3 GD3 GlcCer - LacCer UDP-Glc UDP Gal CMP -Neu5Ac - UDP Gal PAPS Glycosphingolipids GalCer Sulfatide ββ Dihydro -Cer -Cer SO 4 Golgi Ceramide apparatus 2-OH- 2-OH-FA Acyl-CoA FA2H CERS1-6 [SPG35] CYP4F22 ω-OH- ω-OH- FA Acyl-CoA ULCFA ULCFA-CoA ULCFA GM1, GM2, GM3: monosialo- Sphinganine gangliosides Endoplasmic GD3, GD2, GD1a, GD1b: disialo-gangliosides reticulum KetoSphinganine GT1b: trisialoganglioside SPTLC1/2 [HSAN1] N-acetyl-neuraminic acid: sialic acid found in normal human cells Palmitoyl-CoA Deoxy-sphinganine + Serine +Ala or Gly Deoxymethylsphinganine 38 . Fig. 38.1 Schematic representation of the structure of the main sphingolipids , and their biosynthetic pathways. -
Sphingolipids in Type 1 Diabetes: Focus on Beta-Cells
cells Review Sphingolipids in Type 1 Diabetes: Focus on Beta-Cells Ewa Gurgul-Convey Institute of Clinical Biochemistry, Hannover Medical School, Carl-Neuberg-Str.1, 30625 Hannover, Germany; [email protected] Received: 30 June 2020; Accepted: 3 August 2020; Published: 4 August 2020 Abstract: Type 1 diabetes (T1DM) is a chronic autoimmune disease, with a strong genetic background, leading to a gradual loss of pancreatic beta-cells, which secrete insulin and control glucose homeostasis. Patients with T1DM require life-long substitution with insulin and are at high risk for development of severe secondary complications. The incidence of T1DM has been continuously growing in the last decades, indicating an important contribution of environmental factors. Accumulating data indicates that sphingolipids may be crucially involved in T1DM development. The serum lipidome of T1DM patients is characterized by significantly altered sphingolipid composition compared to nondiabetic, healthy probands. Recently, several polymorphisms in the genes encoding the enzymatic machinery for sphingolipid production have been identified in T1DM individuals. Evidence gained from studies in rodent islets and beta-cells exposed to cytokines indicates dysregulation of the sphingolipid biosynthetic pathway and impaired function of several sphingolipids. Moreover, a number of glycosphingolipids have been suggested to act as beta-cell autoantigens. Studies in animal models of autoimmune diabetes, such as the Non Obese Diabetic (NOD) mouse and the LEW.1AR1-iddm (IDDM) rat, indicate a crucial role of sphingolipids in immune cell trafficking, islet infiltration and diabetes development. In this review, the up-to-date status on the findings about sphingolipids in T1DM will be provided, the under-investigated research areas will be identified and perspectives for future studies will be given. -
Altered Mrna Expression Levels of the Major Components of Sphingolipid Metabolism, Ceramide Synthases and Their Clinical Implication in Colorectal Cancer
ONCOLOGY REPORTS 40: 3489-3500, 2018 Altered mRNA expression levels of the major components of sphingolipid metabolism, ceramide synthases and their clinical implication in colorectal cancer SUNG WON JANG1*, WOO-JAE PARK2*, HYEONJI MIN3, TAEG KYU KWON3,4, SEONG KYU BAEK5, ILSEON HWANG6, SHIN KIM3,4 and JONG-WOOK PARK3,4 1Department of Emergency Medicine, Dongsan Medical Center, Keimyung University, Daegu 41931; 2Department of Biochemistry, College of Medicine, Gachon University, Incheon 21999; 3Department of Immunology, School of Medicine and 4Institute of Medical Science, Keimyung University, Daegu 42601; 5Department of Surgery, Dongsan Medical Center, Keimyung University, Daegu 41931; 6Department of Pathology, School of Medicine, Keimyung University, Daegu 42601, Republic of Korea Received January 11, 2018; Accepted September 3, 2018 DOI: 10.3892/or.2018.6712 Abstract. Ceramide synthases (CerSs) synthesize various CERS5 mRNA levels in The Cancer Genome Atlas Colon ceramides of different acyl chain lengths and serve important and Rectal Cancer dataset. Notably, CERS2 and CERS4, as roles in the proliferation and death of cancer cells by regu- well as CERS5 and CERS6 levels, were positively correlated lating sphingolipid metabolism-related signaling pathways. with each other in Korean patients with CRC. However, the The present study investigated the mRNA expression levels mRNA expression levels of these four CerS genes were not of various CerS genes using mRNA expression data from six associated with any clinicopathological characteristics in independent colorectal cancer (CRC) cohorts and a Korean Korean patients with CRC. Finally, overexpressing CERS2 or CRC dataset. Expression levels of CERS2, CERS5 and CERS6 inhibited the in vitro viability of various CRC cells. -
Roles of Gangliosides in Hypothalamic Control of Energy Balance: New Insights
International Journal of Molecular Sciences Review Roles of Gangliosides in Hypothalamic Control of Energy Balance: New Insights Kei-ichiro Inamori * and Jin-ichi Inokuchi * Division of Glycopathology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi 981-8558, Japan * Correspondence: [email protected] (K.-i.I.); [email protected] (J.-i.I.); Tel.: +81-22-727-0116 (K.-i.I.); +81-22-727-0117 (J.-i.I.) Received: 3 July 2020; Accepted: 26 July 2020; Published: 28 July 2020 Abstract: Gangliosides are essential components of cell membranes and are involved in a variety of physiological processes, including cell growth, differentiation, and receptor-mediated signal transduction. They regulate functions of proteins in membrane microdomains, notably receptor tyrosine kinases such as insulin receptor (InsR) and epidermal growth factor receptor (EGFR), through lateral association. Studies during the past two decades using knockout (KO) or pharmacologically inhibited cells, or KO mouse models for glucosylceramide synthase (GCS; Ugcg), GM3 synthase (GM3S; St3gal5), and GD3 synthase (GD3S; St8sia1) have revealed essential roles of gangliosides in hypothalamic control of energy balance. The a-series gangliosides GM1 and GD1a interact with leptin receptor (LepR) and promote LepR signaling through activation of the JAK2/STAT3 pathway. Studies of GM3S KO cells have shown that the extracellular signal-regulated kinase (ERK) pathway, downstream of the LepR signaling pathway, is also modulated by gangliosides. Recent studies have revealed crosstalk between the LepR signaling pathway and other receptor signaling pathways (e.g., InsR and EGFR pathways). Gangliosides thus have the ability to modulate the effects of leptin by regulating functions of such receptors, and by direct interaction with LepR to control signaling. -
Supplemental Figures 04 12 2017
Jung et al. 1 SUPPLEMENTAL FIGURES 2 3 Supplemental Figure 1. Clinical relevance of natural product methyltransferases (NPMTs) in brain disorders. (A) 4 Table summarizing characteristics of 11 NPMTs using data derived from the TCGA GBM and Rembrandt datasets for 5 relative expression levels and survival. In addition, published studies of the 11 NPMTs are summarized. (B) The 1 Jung et al. 6 expression levels of 10 NPMTs in glioblastoma versus non‐tumor brain are displayed in a heatmap, ranked by 7 significance and expression levels. *, p<0.05; **, p<0.01; ***, p<0.001. 8 2 Jung et al. 9 10 Supplemental Figure 2. Anatomical distribution of methyltransferase and metabolic signatures within 11 glioblastomas. The Ivy GAP dataset was downloaded and interrogated by histological structure for NNMT, NAMPT, 12 DNMT mRNA expression and selected gene expression signatures. The results are displayed on a heatmap. The 13 sample size of each histological region as indicated on the figure. 14 3 Jung et al. 15 16 Supplemental Figure 3. Altered expression of nicotinamide and nicotinate metabolism‐related enzymes in 17 glioblastoma. (A) Heatmap (fold change of expression) of whole 25 enzymes in the KEGG nicotinate and 18 nicotinamide metabolism gene set were analyzed in indicated glioblastoma expression datasets with Oncomine. 4 Jung et al. 19 Color bar intensity indicates percentile of fold change in glioblastoma relative to normal brain. (B) Nicotinamide and 20 nicotinate and methionine salvage pathways are displayed with the relative expression levels in glioblastoma 21 specimens in the TCGA GBM dataset indicated. 22 5 Jung et al. 23 24 Supplementary Figure 4. -
Supplemental Data
Supplementary Table 1. Gene sets from Figure 6. Lists of genes from each individual gene set defined in Figure 6, including the fold-change in expression of each gene in treatment group pair-wise comparisons. ENSEMBL: Ensembl gene identifier; Symbol: official gene symbol; logFC: log fold change; p value: significance of fold-change in a pair-wise comparison, P<0.05 cut-off; FDR: false discovery rate, expected proportion of false positives among the differentially expressed genes in a pair-wise comparison (FDR<0.25 cut-off). Sup. Table 1 SET I CP versus Sal CP versus CP+DCA DCA versus Sal ENSEMBL Symbol logFC PValue FDR logFC PValue FDR logFC PValue FDR Desc ENSMUSG00000020326 Ccng1 2.64 0.00 0.00 -0.06 0.13 0.96 0.40 0.00 0.23 cyclin G1 [Source:MGI Symbol;Acc:MGI:102890] ENSMUSG00000031886 Ces2e 3.97 0.00 0.00 -0.24 0.02 0.28 0.01 1.00 1.00 carboxylesterase 2E [Source:MGI Symbol;Acc:MGI:2443170] ENSMUSG00000041959 S100a10 2.31 0.00 0.00 -0.21 0.02 0.23 -0.11 0.53 1.00 S100 calcium binding protein A10 (calpactin) [Source:MGI Symbol;Acc:MGI:1339468] ENSMUSG00000092341 Malat1 1.09 0.00 0.00 -0.11 0.20 1.00 0.66 0.00 0.00 metastasis associated lung adenocarcinoma transcript 1 (non-coding RNA) [Source:MGI Symbol;Acc:MGI:1919539] ENSMUSG00000072949 Acot1 1.73 0.00 0.00 -0.22 0.01 0.12 -0.44 0.01 1.00 acyl-CoA thioesterase 1 [Source:MGI Symbol;Acc:MGI:1349396] ENSMUSG00000064339 mt-Rnr2 1.09 0.00 0.00 -0.08 0.17 1.00 0.67 0.00 0.07 mitochondrially encoded 16S rRNA [Source:MGI Symbol;Acc:MGI:102492] ENSMUSG00000025934 Gsta3 1.86 0.00 0.00 -0.28 -
Altered Expression of Ganglioside Metabolizing Enzymes Results in GM3 Ganglioside Accumulation in Cerebellar Cells of a Mouse Mo
Altered Expression of Ganglioside Metabolizing Enzymes Results in GM3 Ganglioside Accumulation in Cerebellar Cells of a Mouse Model of Juvenile Neuronal Ceroid Lipofuscinosis The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Somogyi, Aleksandra, Anton Petcherski, Benedikt Beckert, Mylene Huebecker, David A. Priestman, Antje Banning, Susan L. Cotman, Frances M. Platt, Mika O. Ruonala, and Ritva Tikkanen. 2018. “Altered Expression of Ganglioside Metabolizing Enzymes Results in GM3 Ganglioside Accumulation in Cerebellar Cells of a Mouse Model of Juvenile Neuronal Ceroid Lipofuscinosis.” International Journal of Molecular Sciences 19 (2): 625. doi:10.3390/ ijms19020625. http://dx.doi.org/10.3390/ijms19020625. Published Version doi:10.3390/ijms19020625 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:35981875 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA International Journal of Molecular Sciences Article Altered Expression of Ganglioside Metabolizing Enzymes Results in GM3 Ganglioside Accumulation in Cerebellar Cells of a Mouse Model of Juvenile Neuronal Ceroid Lipofuscinosis Aleksandra Somogyi 1,†,‡, Anton Petcherski 1,†,§, Benedikt Beckert 2, Mylene Huebecker 3, David A. Priestman 3, Antje Banning 2, Susan L. Cotman 4, Frances M. Platt