IGFBP2 Is a Candidate Biomarker for Ink4a-Arf Status and a Therapeutic Target for High-Grade Gliomas
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CDH12 Cadherin 12, Type 2 N-Cadherin 2 RPL5 Ribosomal
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IGFBP5) Reverses Cisplatin-Resistance in Esophageal Carcinoma
cells Article Expression of Insulin-Like Growth Factor Binding Protein-5 (IGFBP5) Reverses Cisplatin-Resistance in Esophageal Carcinoma Dessy Chan 1,†, Yuanyuan Zhou 1,†, Chung Hin Chui 1, Kim Hung Lam 1, Simon Law 2, Albert Sun-chi Chan 3, Xingshu Li 3,*, Alfred King-yin Lam 4,* and Johnny Cheuk On Tang 1,* 1 State Key Laboratory of Chemical Biology and Drug Discovery, Lo Ka Chung Centre for Natural Anti-cancer Drug Development, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China; [email protected] (D.C.); [email protected] (Y.Z.); [email protected] (C.H.C.), [email protected] (K.H.L.) 2 Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; [email protected] 3 School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China; [email protected] 4 Griffith Medical School, Griffith University, Gold Coast, QLD 4222, Australia * Correspondence: [email protected] (X.L.); A.Lam@griffith.edu.au (A.K.L.); [email protected] (J.C.O.T.); Tel.: +852-3400-8727 (J.C.O.T.) † These authors contributed equally to this work. Received: 3 September 2018; Accepted: 16 September 2018; Published: 20 September 2018 Abstract: Cisplatin (CDDP) is one of the front-line chemotherapeutic drugs used in the treatment of esophageal squamous cell carcinoma (ESCC). Occurrence of resistance to CDDP has become one of the main challenges in cancer therapy. In this study, the gene expression profile of CDDP-resistant ESCC cells was investigated and molecular approaches were explored in an attempt to reverse the CDDP resistance. -
Contents Supplemental Table 1
Supplementary material Open Heart SUPPLEMENTAL MATERIAL TO “EXPLORATION OF PATHOPHYSIOLOGICAL PATHWAYS FOR INCIDENT ATRIAL FIBRILLATION – THE MALMÖ PREVENTIVE PROJECT” John Molvin, Amra Jujic, Olle Melander, Manan Pareek, Lennart Råstam, Ulf Lindblad, Bledar Daka, Margrét Leósdóttir, Peter M. Nilsson, Michael H. Olsen & Martin Magnusson Contents Supplemental table 1. Unadjusted Cox regression analyses examining all 92 proteins relation to incident atrial fibrillation ................................................................................... 2-3 List of abbreviations……………………………………………………………………………………………………………4 Molvin J, et al. Open Heart 2020; 7:e001190. doi: 10.1136/openhrt-2019-001190 Supplementary material Open Heart Supplemental table 1. Unadjusted Cox regression analyses examining all 92 proteins relation to incident atrial fibrillation Protein Hazard ratio (95% confidence interval) p-value PON3 0.80 (0.72-0.89) 7.3x10-5 IGFBP2 4.47 (1.42-14-1) 0.011 PAI 1.44 (0.65-3.18) 0.371 CTSD 2.45 (1.13-5.30) 0.023 FABP4 1.27 (1.13-1.44) 8.6x10-5 CD163 5.25 (1.14-24.1) 0.033 GAL4 1.30 (1.15-1.47) 3.5x10-5 LDL-receptor 0.81 (0.39-1.69) 0.582 IL1RT2 0.75 (0.24-2.34) 0.614 t-PA 2.75 (1.21-6.27) 0.016 SELE 0.99 (0.51-1.90) 0.969 CTSZ 2.97 (1.00-8.78) 0.050 GDF15 1.41 (1.25-1.59) 9.7x10-9 CSTB 3.75 (1.58-8.92) 0.003 MPO 4.48 (1.73-11.7) 0.002 PCSK9 1.18 (0.73-1.93) 0.501 IGFBP1 2.48 (1.42-4.35) 0.001 RARRES2 64.3 (1.87-2220.8) 0.021 ITGB2 1.01 (0.31-3.29) 0.990 CCL15 3.58 (0.96-13.3) 0.057 SCGB3A2 0.97 (0.71-1.32) 0.839 CHI3L1 1.26 (1.12-1.43) -
Insulin-Like Growth Factor Axis in Pregnancies Affected by Fetal Growth Disorders Aamod R
Nawathe et al. Clinical Epigenetics (2016) 8:11 DOI 10.1186/s13148-016-0178-5 RESEARCH Open Access Insulin-like growth factor axis in pregnancies affected by fetal growth disorders Aamod R. Nawathe1,2, Mark Christian3, Sung Hye Kim2, Mark Johnson1,2, Makrina D. Savvidou1,2 and Vasso Terzidou1,2* Abstract Background: Insulin-like growth factors 1 and 2 (IGF1 and IGF2) and their binding proteins (IGFBPs) are expressed in the placenta and known to regulate fetal growth. DNA methylation is an epigenetic mechanism which involves addition of methyl group to a cytosine base in the DNA forming a methylated cytosine-phosphate-guanine (CpG) dinucleotide which is known to silence gene expression. This silences gene expression, potentially altering the expression of IGFs and their binding proteins. This study investigates the relationship between DNA methylation of components of the IGF axis in the placenta and disorders in fetal growth. Placental samples were obtained from cord insertions immediately after delivery from appropriate, small (defined as birthweight <10th percentile for the gestation [SGA]) and macrosomic (defined as birthweight > the 90th percentile for the gestation [LGA]) neonates. Placental DNA methylation, mRNA expression and protein levels of components of the IGF axis were determined by pyrosequencing, rtPCR and Western blotting. Results: In the placenta from small for gestational age (SGA) neonates (n = 16), mRNA and protein levels of IGF1 were lower and of IGFBPs (1, 2, 3, 4 and 7) were higher (p < 0.05) compared to appropriately grown neonates (n =37).In contrast, in the placenta from large for gestational age (LGA) neonates (n = 20), mRNA and protein levels of IGF1 was not different and those of IGFBPs (1, 2, 3 and 4) were lower (p < 0.05) compared to appropriately grown neonates. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
(Igfbp5) Compromises Survival, Growth, Muscle Development, and Fertility in Mice
Insulin-like growth factor-binding protein 5 (Igfbp5) compromises survival, growth, muscle development, and fertility in mice Dervis A. M. Salih*, Gyanendra Tripathi*, Cathy Holding*, Tadge A. M. Szestak*, M. Ivelisse Gonzalez*, Emma J. Carter*, Laura J. Cobb*, Joan E. Eisemann†, and Jennifer M. Pell*‡ *Signalling Programme, The Babraham Institute, Cambridge CB2 4AT, United Kingdom; and †Department of Animal Science, North Carolina State University, Raleigh, NC 27695 Communicated by Michael J. Berridge, The Babraham Institute, Cambridge, United Kingdom, January 23, 2004 (received for review October 3, 2003) The insulin-like growth factors (IGFs) are essential for development; include a consensus nuclear localization signal (17) and serine͞ bioavailable IGF is tightly regulated by six related IGF-binding pro- threonine phosphorylation sites. These primary motifs are con- teins (IGFBPs). Igfbp5 is the most conserved and is developmentally served, signifying that putative IGF-dependent and -independent up-regulated in key lineages and pathologies; in vitro studies suggest functions have been maintained. that IGFBP-5 functions independently of IGF interaction. Genetic We have therefore pursued the hypothesis that IGFBP-5 has a ablation of individual Igfbps has yielded limited phenotypes because significant role in growth and development. IGFBP function has of substantial compensation by remaining family members. There- been investigated in vivo by using gene ablation by homologous fore, to reveal Igfbp5 actions in vivo, we generated lines of transgenic recombination (e.g., ref. 18); however, to date Igfbp-null mice have mice that ubiquitously overexpressed Igfbp5 from early develop- exhibited a limited phenotype because of compensation and re- ment. Significantly increased neonatal mortality, reduced female dundancy from remaining IGFBPs. -
IGFBP2 Is a Biomarker for Predicting Longitudinal Deterioration in Renal Function in Type 2 Diabetes
R P Narayanan et al. IGFBP2 predicts renal function in 1–8 1:95 Research diabetes Open Access IGFBP2 is a biomarker for predicting longitudinal deterioration in renal function in type 2 diabetes Correspondence 1 2 1 1 1 Ram P Narayanan ,BoFu , Adrian H Heald , Kirk W Siddals , Robert L Oliver , should be addressed to Julie E Hudson1, Antony Payton3, Simon G Anderson4, Anne White5, R P Narayanan 3,6 1,7 B-202, Clinical Sciences William E R Ollier and J Martin Gibson Building, Salford Royal NHS 1Vascular Research Group 2School of Community Based Medicine 3Centre for Integrated Genomic Medical Research Foundation Trust, Stott Lane, Salford 4Cardiovascular Research Group 5Endocrinology and Diabetes, Faculty of Medical, Human and Life Sciences, M6 8HD, UK The University of Manchester, Manchester M13 9PT, UK 6Salford R&D 7Department of Endocrinology and Email Diabetes, Salford Royal Hospital NHS Foundation Trust, Salford M6 8HD, UK ram.narayanan@manchester. ac.uk Abstract Objective: Insulin-like growth factors are implicated in the development of diabetic nephropathy. Key Words IGF-binding protein 2 (IGFBP2) and IGF2 are expressed in the kidney, but their associations with " IGFBP2 diabetic nephropathy are unclear. We therefore tested the hypothesis that circulating levels of " longitudinal trends IGF2 and IGFBP2 predict longitudinal renal function in individuals with type 2 diabetes. " renal function Design and methods: IGFBP2 and IGF2 measurements were performed in 436 individuals (263 " real-world data males) with type 2 diabetes. Linear mixed-effect regression analysis was used to model the Endocrine Connections relationship between plasma IGFBP2 concentration and longitudinal changes in estimated glomerular filtration rate (eGFR) over an 8-year period. -
Protease-Resistant Form of Insulin-Like Growth Factor-Binding Protein 5 Is An
Protease-resistant form of insulin-like growth factor-binding protein 5 is an inhibitor of insulin-like growth factor-I actions on porcine smooth muscle cells in culture. Y Imai, … , C Rees, D R Clemmons J Clin Invest. 1997;100(10):2596-2605. https://doi.org/10.1172/JCI119803. Research Article IGFs are pleiotrophic mitogens for porcine smooth muscle cells (pSMC) in culture. The effects of IGFs on cells are modulated by various insulin-like growth factor-binding proteins (IGFBP). IGFBP-5 is synthesized by pSMC and binds to the extracellular matrix. However, IGFBP-5 is also secreted into conditioned medium of cultured cells and is cleaved into fragments by a concomitantly produced protease. These fragments have reduced affinity for the IGFs and cleavage makes it difficult to assess the role of intact IGFBP-5. To study the consequence of accumulation of intact IGFBP-5 in medium, we determined the cleavage site in IGFBP-5 and prepared a protease resistant mutant. Amino acid sequencing of purified IGFBP-5 fragments suggested Arg138-Arg139 as the primary cleavage site. Arg138-Arg139-->Asn138-Asn139 mutations were introduced to create protease-resistant IGFBP-5, which has the same affinity for IGF-I as the native protein. This mutant IGFBP-5 remained intact even after 24 h of incubation and it inhibited several IGF-I actions when added to pSMC culture medium. The mutant IGFBP-5 (500 ng/ml) decreased IGF-I stimulated cellular DNA synthesis by 84%, protein synthesis by 77%, and it inhibited IGF-I stimulated migration of pSMC by 77%. It also inhibited IGF-I stimulation of IRS-1 phosphorylation. -
Figure S1. Reverse Transcription‑Quantitative PCR Analysis of ETV5 Mrna Expression Levels in Parental and ETV5 Stable Transfectants
Figure S1. Reverse transcription‑quantitative PCR analysis of ETV5 mRNA expression levels in parental and ETV5 stable transfectants. (A) Hec1a and Hec1a‑ETV5 EC cell lines; (B) Ishikawa and Ishikawa‑ETV5 EC cell lines. **P<0.005, unpaired Student's t‑test. EC, endometrial cancer; ETV5, ETS variant transcription factor 5. Figure S2. Survival analysis of sample clusters 1‑4. Kaplan Meier graphs for (A) recurrence‑free and (B) overall survival. Survival curves were constructed using the Kaplan‑Meier method, and differences between sample cluster curves were analyzed by log‑rank test. Figure S3. ROC analysis of hub genes. For each gene, ROC curve (left) and mRNA expression levels (right) in control (n=35) and tumor (n=545) samples from The Cancer Genome Atlas Uterine Corpus Endometrioid Cancer cohort are shown. mRNA levels are expressed as Log2(x+1), where ‘x’ is the RSEM normalized expression value. ROC, receiver operating characteristic. Table SI. Clinicopathological characteristics of the GSE17025 dataset. Characteristic n % Atrophic endometrium 12 (postmenopausal) (Control group) Tumor stage I 91 100 Histology Endometrioid adenocarcinoma 79 86.81 Papillary serous 12 13.19 Histological grade Grade 1 30 32.97 Grade 2 36 39.56 Grade 3 25 27.47 Myometrial invasiona Superficial (<50%) 67 74.44 Deep (>50%) 23 25.56 aMyometrial invasion information was available for 90 of 91 tumor samples. Table SII. Clinicopathological characteristics of The Cancer Genome Atlas Uterine Corpus Endometrioid Cancer dataset. Characteristic n % Solid tissue normal 16 Tumor samples Stagea I 226 68.278 II 19 5.740 III 70 21.148 IV 16 4.834 Histology Endometrioid 271 81.381 Mixed 10 3.003 Serous 52 15.616 Histological grade Grade 1 78 23.423 Grade 2 91 27.327 Grade 3 164 49.249 Molecular subtypeb POLE 17 7.328 MSI 65 28.017 CN Low 90 38.793 CN High 60 25.862 CN, copy number; MSI, microsatellite instability; POLE, DNA polymerase ε. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
SUPPLEMENTAL INFORMATION for LKB1 Loss Promotes Endometrial Cancer Progression Via CCL2-Dependent Recruitment of Macrophages
SUPPLEMENTAL INFORMATION FOR LKB1 loss promotes endometrial cancer progression via CCL2‐dependent recruitment of macrophages Christopher G. Peña, Yuji Nakada, Hatice D. Saatcioglu, Gina M. Aloisio, Ileana Cuevas, Song Zhang, David S. Miller, Jayanthi S. Lea, Kwok‐Kin Wong, Ralph J. DeBerardinis, Anthony L. Amelio, Rolf A. Brekken, and Diego H. Castrillon Figures S1‐6, Tables S2‐S3, and Legends 1 Figure S1. LKB1 knockdown does not affect growth rate or migration of EM cells. A) Growth curve of isogenic EM cells over an 8 day period. Values were obtained by calculating mean intensity of crystal violet staining per day normalized to day 0. B) Wound healing assay showing width of wound (µm) over time. Error bars=S.E.M. 2 Figure S2. Macrophage infiltration distinguishes Lkb1‐based from other murine endometrial cancer models. A) Representative F4/80 immunostaining of four murine endometrial cancer models showing greatest macrophage density in 12 week Lkb1‐/‐ tumors, with H&E stains showing invasive tumor for each model. B) Fold change in F4/80+ cells between each cancer model and respective sibling controls (n=4 per experimental group and sibling controls for every model analyzed). Lkb1‐/‐ mice displayed the greatest fold change in macrophage density (*P<0.01) per student’s t test. Bars=50 µm; panels in the same column are all at the same magnification. Error bars=S.E.M. 3 Figure S3. Quantitation of leukocyte infiltrates in Lkb1‐/‐ tumors. A) Immunostaining of tumors with mature lymphocyte marker CD3, neutrophil marker myeloperoxidase (MYP), and macrophage marker F4/80 in 12 week‐old animals. -
Systematic Elucidation of Neuron-Astrocyte Interaction in Models of Amyotrophic Lateral Sclerosis Using Multi-Modal Integrated Bioinformatics Workflow
ARTICLE https://doi.org/10.1038/s41467-020-19177-y OPEN Systematic elucidation of neuron-astrocyte interaction in models of amyotrophic lateral sclerosis using multi-modal integrated bioinformatics workflow Vartika Mishra et al.# 1234567890():,; Cell-to-cell communications are critical determinants of pathophysiological phenotypes, but methodologies for their systematic elucidation are lacking. Herein, we propose an approach for the Systematic Elucidation and Assessment of Regulatory Cell-to-cell Interaction Net- works (SEARCHIN) to identify ligand-mediated interactions between distinct cellular com- partments. To test this approach, we selected a model of amyotrophic lateral sclerosis (ALS), in which astrocytes expressing mutant superoxide dismutase-1 (mutSOD1) kill wild-type motor neurons (MNs) by an unknown mechanism. Our integrative analysis that combines proteomics and regulatory network analysis infers the interaction between astrocyte-released amyloid precursor protein (APP) and death receptor-6 (DR6) on MNs as the top predicted ligand-receptor pair. The inferred deleterious role of APP and DR6 is confirmed in vitro in models of ALS. Moreover, the DR6 knockdown in MNs of transgenic mutSOD1 mice attenuates the ALS-like phenotype. Our results support the usefulness of integrative, systems biology approach to gain insights into complex neurobiological disease processes as in ALS and posit that the proposed methodology is not restricted to this biological context and could be used in a variety of other non-cell-autonomous communication