Expression Gene Network Analyses Reveal Molecular Mechanisms And
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Product Data Sheet
Product Data Sheet ExProfileTM Human AMPK Signaling Related Gene qPCR Array For focused group profiling of human AMPK signaling genes expression Cat. No. QG004-A (4 x 96-well plate, Format A) Cat. No. QG004-B (4 x 96-well plate, Format B) Cat. No. QG004-C (4 x 96-well plate, Format C) Cat. No. QG004-D (4 x 96-well plate, Format D) Cat. No. QG004-E (4 x 96-well plate, Format E) Plates available individually or as a set of 6. Each set contains 336 unique gene primer pairs deposited in one 96-well plate. Introduction The ExProfile human AMPK signaling related gene qPCR array profiles the expression of 336 human genes related to AMPK-mediated signal transduction. These genes are carefully chosen for their close pathway correlation based on a thorough literature search of peer-reviewed publications, mainly including genes that encode AMP-activated protein kinase complex,its regulators and targets involved in many important biological processes, such as glucose uptake, β-oxidation of fatty acids and modulation of insulin secretion. This array allows researchers to study the pathway-related genes to gain understanding of their roles in the different biological processes. QG004 plate 01: 84 unique gene PCR primer pairs QG004 plate 02: 84 unique gene PCR primer pairs QG004 plate 03: 84 unique gene PCR primer pairs QG004 plate 04: 84 unique gene PCR primer pairs Shipping and storage condition Shipped at room temperate Stable for at least 6 months when stored at -20°C Array format GeneCopoeia provides five qPCR array formats (A, B, C, D, and E) suitable for use with the following real- time cyclers. -
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. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
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. -
Disrupted Iron Homeostasis Causes Dopaminergic Neurodegeneration in Mice
Disrupted iron homeostasis causes dopaminergic neurodegeneration in mice Pavle Mataka, Andrija Mataka, Sarah Moustafaa, Dipendra K. Aryalb,c,d,e, Eric J. Bennerf, William Wetselb,c,d,e, and Nancy C. Andrewsa,f,1 aDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27705; bDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27705; cDepartment of Cell Biology, Duke University School of Medicine, Durham, NC 27705; dDepartment of Neurobiology, Duke University School of Medicine, Durham, NC 27705; eMouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University School of Medicine, Durham, NC 27705; and fDepartment of Pediatrics, Duke University School of Medicine, Durham, NC 27705 This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2015. Contributed by Nancy C. Andrews, January 27, 2016 (sent for review September 30, 2015; reviewed by Michael K. Georgieff and Barry H. Paw) Disrupted brain iron homeostasis is a common feature of neuro- offers a very sensitive approach to detect cellular iron deficiency degenerative disease. To begin to understand how neuronal iron and surfeit (12). handling might be involved, we focused on dopaminergic neurons Iron homeostasis is altered locally, in the affected part of the and asked how inactivation of transport proteins affected iron brain, in most human neurodegenerative disorders (13). Iron ac- homeostasis in vivo in mice. Loss of the cellular iron exporter, cumulates in the substantia nigra (SN) in Parkinson’s disease (PD) ferroportin, had no apparent consequences. However, loss of (14–16), although it is unsettled whether increased iron is in neu- transferrin receptor 1, involved in iron uptake, caused neuronal ropil (17) or dopaminergic (DA) neurons (18), or both. -
CD147 Knockdown Improves the Antitumor Efficacy of Trastuzumab in HER2-Positive Breast Cancer Cells
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 36 Research Paper CD147 knockdown improves the antitumor efficacy of trastuzumab in HER2-positive breast cancer cells Lijuan Xiong1,*, Li Ding2,*, Haoyong Ning3,*, Chenglin Wu1, Kaifei Fu1, Yuxiao Wang1, Yan Zhang4, Yan Liu2, Lijun Zhou1 1Central Laboratory, Navy General Hospital, Beijing 100048, P.R. China 2The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, 510630, P.R.China 3Department of Pathology, Navy General Hospital, Beijing 100048, P.R. China 4Department of Surgery, Navy General Hospital, Beijing 100048, P.R. China *These authors equally contributed to this work Correspondence to: Lijun Zhou, e-mail: [email protected] Keywords: CD147, HER2, breast cancer, antibody drug resistance/sensitivity, trastuzumab efficacy Received: January 13, 2016 Accepted: May 04, 2016 Published: June 23, 2016 ABSTRACT Trastuzumab is widely used in the clinical treatment of human epidermal growth factor receptor-2 (HER2)-positive breast cancer, but the patient response rate is low. CD147 stimulates cancer cell proliferation, migration, metastasis and differentiation and is involved in chemoresistance in many types of cancer cells. Whether CD147 alters the effect of trastuzumab on HER2-positive breast cancer cells has not been previously reported. Our study confirmed that CD147 suppression enhances the effects of trastuzumab both in vitro and in vivo. CD147 suppression increased the inhibitory rate of trastuzumab and cell apoptosis in SKBR3, BT474, HCC1954 and MDA- MB453 cells compared with the controls. Furthermore, CD147 knockdown increased expression of cleaved Caspase-3/9 and poly (ADP-ribose) polymerase (PARP) and decreased both mitogen-activated protein kinase (MAPK) and Akt phosphorylation in the four cell lines. -
ATP8B1 Gene Atpase Phospholipid Transporting 8B1
ATP8B1 gene ATPase phospholipid transporting 8B1 Normal Function The ATP8B1 gene (also known as FIC1) provides instructions for making a protein that is found throughout the body. It is thought to control the distribution of certain fat molecules known as aminophospholipids on the inner surface of liver cell membranes. Based on this role, the ATP8B1 protein is sometimes known as an aminophospholipid translocase. In particular, this protein performs its function in the membranes of liver cells that transport fat-digesting acids called bile acids into bile, and it likely plays a role in maintaining an appropriate balance of bile acids. This process, known as bile acid homeostasis, is critical for the normal secretion of bile and the proper functioning of liver cells. Health Conditions Related to Genetic Changes Benign recurrent intrahepatic cholestasis Mutations in the ATP8B1 gene can cause benign recurrent intrahepatic cholestasis type 1 (BRIC1). People with BRIC1 have occasional episodes of impaired bile secretion that lead to severe itching (pruritus), and yellowing of the skin and whites of the eyes ( jaundice). Most ATP8B1 gene mutations that cause BRIC1 change single protein building blocks (amino acids) in the ATP8B1 protein. These mutations likely alter the structure or function of the ATP8B1 protein only moderately. Through unknown mechanisms, mutations in the ATP8B1 gene result in the buildup of bile acids in liver cells, which leads to the signs and symptoms of BRIC1. It is unclear what causes the episodes to begin or end. On occasion, people with BRIC1 have been later diagnosed with a more severe condition called progressive familial intrahepatic cholestasis ( described below) when their symptoms worsened. -
Research Article Identification of ATP8B1 As a Tumor Suppressor Gene for Colorectal Cancer and Its Involvement in Phospholipid Homeostasis
Hindawi BioMed Research International Volume 2020, Article ID 2015648, 16 pages https://doi.org/10.1155/2020/2015648 Research Article Identification of ATP8B1 as a Tumor Suppressor Gene for Colorectal Cancer and Its Involvement in Phospholipid Homeostasis Li Deng,1,2 Geng-Ming Niu,1 Jun Ren,1 and Chong-Wei Ke 1 1Department of General Surgery, The Fifth People’s Hospital of Shanghai, Fudan University, Shanghai, China 2Department of General Surgery, The Shanghai Public Health Clinical Center, Fudan University, Shanghai, China Correspondence should be addressed to Chong-Wei Ke; [email protected] Received 5 May 2020; Revised 16 July 2020; Accepted 17 August 2020; Published 29 September 2020 Academic Editor: Luis Loura Copyright © 2020 Li Deng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Homeostasis of membrane phospholipids plays an important role in cell oncogenesis and cancer progression. The flippase ATPase class I type 8b member 1 (ATP8B1), one of the P4-ATPases, translocates specific phospholipids from the exoplasmic to the cytoplasmic leaflet of membranes. ATP8B1 is critical for maintaining the epithelium membrane stability and polarity. However, the prognostic values of ATP8B1 in colorectal cancer (CRC) patients remain unclear. We analyzed transcriptomics, genomics, and clinical data of CRC samples from The Cancer Genome Atlas (TCGA). ATP8B1 was the only potential biomarker of phospholipid transporters in CRC. Its prognostic value was also validated with the data from the Gene Expression Omnibus (GEO). Compared to the normal group, the expression of ATP8B1 was downregulated in the tumor group and the CRC cell lines, which declined with disease progression. -
Type of the Paper (Article
Table S1. Gene expression of pro-angiogenic factors in tumor lymph nodes of Ibtk+/+Eµ-myc and Ibtk+/-Eµ-myc mice. Fold p- Symbol Gene change value 0,007 Akt1 Thymoma viral proto-oncogene 1 1,8967 061 0,929 Ang Angiogenin, ribonuclease, RNase A family, 5 1,1159 481 0,000 Angpt1 Angiopoietin 1 4,3916 117 0,461 Angpt2 Angiopoietin 2 0,7478 625 0,258 Anpep Alanyl (membrane) aminopeptidase 1,1015 737 0,000 Bai1 Brain-specific angiogenesis inhibitor 1 4,0927 202 0,001 Ccl11 Chemokine (C-C motif) ligand 11 3,1381 149 0,000 Ccl2 Chemokine (C-C motif) ligand 2 2,8407 298 0,000 Cdh5 Cadherin 5 2,5849 744 0,000 Col18a1 Collagen, type XVIII, alpha 1 3,8568 388 0,003 Col4a3 Collagen, type IV, alpha 3 2,9031 327 0,000 Csf3 Colony stimulating factor 3 (granulocyte) 4,3332 258 0,693 Ctgf Connective tissue growth factor 1,0195 88 0,000 Cxcl1 Chemokine (C-X-C motif) ligand 1 2,67 21 0,067 Cxcl2 Chemokine (C-X-C motif) ligand 2 0,7507 631 0,000 Cxcl5 Chemokine (C-X-C motif) ligand 5 3,921 328 0,000 Edn1 Endothelin 1 3,9931 042 0,001 Efna1 Ephrin A1 1,6449 601 0,002 Efnb2 Ephrin B2 2,8858 042 0,000 Egf Epidermal growth factor 1,726 51 0,000 Eng Endoglin 0,2309 467 0,000 Epas1 Endothelial PAS domain protein 1 2,8421 764 0,000 Ephb4 Eph receptor B4 3,6334 035 V-erb-b2 erythroblastic leukemia viral oncogene homolog 2, 0,000 Erbb2 3,9377 neuro/glioblastoma derived oncogene homolog (avian) 024 0,000 F2 Coagulation factor II 3,8295 239 1 0,000 F3 Coagulation factor III 4,4195 293 0,002 Fgf1 Fibroblast growth factor 1 2,8198 748 0,000 Fgf2 Fibroblast growth factor -
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 -
Transcriptomic and Proteomic Profiling Provides Insight Into
BASIC RESEARCH www.jasn.org Transcriptomic and Proteomic Profiling Provides Insight into Mesangial Cell Function in IgA Nephropathy † † ‡ Peidi Liu,* Emelie Lassén,* Viji Nair, Celine C. Berthier, Miyuki Suguro, Carina Sihlbom,§ † | † Matthias Kretzler, Christer Betsholtz, ¶ Börje Haraldsson,* Wenjun Ju, Kerstin Ebefors,* and Jenny Nyström* *Department of Physiology, Institute of Neuroscience and Physiology, §Proteomics Core Facility at University of Gothenburg, University of Gothenburg, Gothenburg, Sweden; †Division of Nephrology, Department of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan; ‡Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan; |Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and ¶Integrated Cardio Metabolic Centre, Karolinska Institutet Novum, Huddinge, Sweden ABSTRACT IgA nephropathy (IgAN), the most common GN worldwide, is characterized by circulating galactose-deficient IgA (gd-IgA) that forms immune complexes. The immune complexes are deposited in the glomerular mesangium, leading to inflammation and loss of renal function, but the complete pathophysiology of the disease is not understood. Using an integrated global transcriptomic and proteomic profiling approach, we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsy specimens from patients with IgAN (n=19) and controls (n=22). Using curated glomerular cell type–specific genes from the published literature, we found differential expression of a much higher percentage of mesangial cell–positive standard genes than podocyte-positive standard genes in IgAN. Principal coordinate analysis of expression data revealed clear separation of patient and control samples on the basis of mesangial but not podocyte cell–positive standard genes. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7,