Systematic Multiomics Analysis of C1QBP Mrna Expression Alterations and Its Relevance of Clinical Outcomes in Cancers

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Supplementary information: Systematic Multiomics Analysis of C1QBP mRNA Expression Alterations and Its Relevance of Clinical Outcomes in Cancers Subbroto Kumar Saha1, Kyung Eun Kim2, S.M. Riazul Islam3, Ssang-Goo Cho1,* and Minchan Gil1,* 1 Department of Stem Cell and Regenerative Biotechnology, Incurable Disease Animal Model & Stem Cell Institute (IDASI), Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029 Republic of Korea; [email protected] (S.K.S.), [email protected] (S-G. C), [email protected] (M.G.) 2 Department of Cosmetic Sciences, Sookmyung Women's University, Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul 04310, Republic of Korea; [email protected] 3 Department of Computer Science and Engineering, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul, 05006, Republic of Korea; [email protected] (S.M.R.I.) * Correspondence: [email protected]; [email protected]; Tel.: +82-10-2773-0173 (M.G.) +82-2-450- 4207 (S.-G.C.); Fax.: +82-2-444-4207 (S.-G.C. and M.G.) Supplementary Table S1. Datasets of C1QBP expression in breast cancer (Oncomine database). Normal Fold p- Rank Dataset Tumor (Cases) t-Test (Cases) change value (%) 2.82E- Curtis Breast (144) Tubular Breast Carcinoma (67) 1.45 9.507 16 8 3.94E- Breast (144) Breast Carcinoma (14) 1.585 4.275 04 9 1.67E- Breast (144) Invasive Breast Carcinoma (21) 1.382 4.217 04 11 Invasive Ductal Breast Carcinoma 9.46E- Breast (144) (1,556) 1.359 14.336 34 15 Invasive Ductal and Invasive 1.06E- Breast (144) Lobular Breast Carcinoma (90) 1.326 7.262 11 15 Ductal Breast Carcinoma in Situ 5.00E- Breast (144) (10) 1.393 3.215 03 15 1.70E- Breast (144) Mucinous Breast Carcinoma (46) 1.399 5.779 07 16 7.12E- Breast (144) Medullary Breast Carcinoma (32) 1.445 4.28 05 18 Turash Ductal Breast Invasive Ductal Breast Carcinoma vili Cell (10) (5) -1.584 -2.25 0.022 7 1.20E- Finak Breast (6) Invasive Breast Carcinoma (53) -2.716 -9.253 11 15 Supplementary Table S2. Survival analyses of C1QBP in breast cancer (PrognoScan database). COX p- HR [95% CI- DATASET ENDPOINT ARRAY TYPE PROBE ID N VALUE low CI-upp] Distant Metastasis Free HG- 0.52 [0.12 - GSE19615 208910_s_at 115 0.371956 Survival U133_Plus_2 2.20] Distant Metastasis Free HG- 0.35 [0.08 - GSE19615 214214_s_at 115 0.169939 Survival U133_Plus_2 1.57] HG- 1.14 [0.82 - GSE12276 Relapse Free Survival 214214_s_at 204 0.43914 U133_Plus_2 1.59] HG- 1.10 [0.81 - GSE12276 Relapse Free Survival 208910_s_at 204 0.537201 U133_Plus_2 1.50] GSE6532- HG- 1.24 [0.59 - Relapse Free Survival 214214_s_at 87 0.565589 GPL570 U133_Plus_2 2.62] GSE6532- HG- 1.30 [0.65 - Relapse Free Survival 208910_s_at 87 0.462749 GPL570 U133_Plus_2 2.60] GSE6532- Distant Metastasis Free HG- 1.24 [0.59 - 214214_s_at 87 0.565589 GPL570 Survival U133_Plus_2 2.62] GSE6532- Distant Metastasis Free HG- 1.30 [0.65 - 208910_s_at 87 0.462749 GPL570 Survival U133_Plus_2 2.60] HG- 0.68 [0.25 - GSE9195 Relapse Free Survival 214214_s_at 77 0.439715 U133_Plus_2 1.83] HG- 0.66 [0.29 - GSE9195 Relapse Free Survival 208910_s_at 77 0.314056 U133_Plus_2 1.49] Distant Metastasis Free HG- 0.76 [0.30 - GSE9195 208910_s_at 77 0.566883 Survival U133_Plus_2 1.94] Distant Metastasis Free HG- 0.83 [0.27 - GSE9195 214214_s_at 77 0.746708 Survival U133_Plus_2 2.58] Distant Metastasis Free 0.77 [0.38 - GSE12093 HG-U133A 208910_s_at 136 0.468174 Survival 1.57] Distant Metastasis Free 1.50 [0.55 - GSE12093 HG-U133A 214214_s_at 136 0.423397 Survival 4.07] Distant Metastasis Free 0.80 [0.36 - GSE11121 HG-U133A 208910_s_at 200 0.578022 Survival 1.77] Distant Metastasis Free 2.07 [0.96 - GSE11121 HG-U133A 214214_s_at 200 0.063933 Survival 4.49] MLRG Human 1.32 [1.06 - GSE9893 Overall Survival 19328 155 0.011484 21K V12.0 1.64] Distant Metastasis Free 0.81 [0.51 - GSE2034 HG-U133A 208910_s_at 286 0.354935 Survival 1.27] Distant Metastasis Free 1.04 [0.64 - GSE2034 HG-U133A 214214_s_at 286 0.878539 Survival 1.68] GSE1456- 1.49 [0.80 - Overall Survival HG-U133A 208910_s_at 159 0.207785 GPL96 2.79] GSE1456- 1.85 [0.79 - Disease Specific Survival HG-U133A 214214_s_at 159 0.155031 GPL96 4.34] GSE1456- 1.66 [0.89 - Relapse Free Survival HG-U133A 208910_s_at 159 0.110369 GPL96 3.11] GSE1456- 1.49 [0.72 - Overall Survival HG-U133A 214214_s_at 159 0.28609 GPL96 3.12] GSE1456- 1.58 [0.76 - Disease Specific Survival HG-U133A 208910_s_at 159 0.221318 GPL96 3.29] GSE1456- 1.90 [0.93 - Relapse Free Survival HG-U133A 214214_s_at 159 0.080311 GPL96 3.90] 1.44 [0.75 - GSE7378 Disease Free Survival U133AAofAv2 208910_s_at 54 0.275125 2.79] 1.62 [0.71 - GSE7378 Disease Free Survival U133AAofAv2 214214_s_at 54 0.254049 3.72] Distant Metastasis Free 0.86 [0.59 - E-TABM-158 HG-U133A 208910_s_at 117 0.406336 Survival 1.23] 0.94 [0.69 - E-TABM-158 Overall Survival HG-U133A 208910_s_at 117 0.6718 1.27] 0.94 [0.66 - E-TABM-158 Relapse Free Survival HG-U133A 214214_s_at 117 0.73798 1.35] 0.87 [0.58 - E-TABM-158 Disease Specific Survival HG-U133A 214214_s_at 117 0.489297 1.30] 0.94 [0.66 - E-TABM-158 Overall Survival HG-U133A 214214_s_at 117 0.73798 1.35] Distant Metastasis Free 0.91 [0.59 - E-TABM-158 HG-U133A 214214_s_at 117 0.668049 Survival 1.41] 0.94 [0.69 - E-TABM-158 Relapse Free Survival HG-U133A 208910_s_at 117 0.6718 1.27] 0.86 [0.61 - E-TABM-158 Disease Specific Survival HG-U133A 208910_s_at 117 0.377166 1.21] GSE3494- 1.22 [0.70 - Disease Specific Survival HG-U133A 208910_s_at 236 0.477552 GPL96 2.12] GSE3494- 1.25 [0.66 - Disease Specific Survival HG-U133A 214214_s_at 236 0.494525 GPL96 2.38] GSE4922- 1.39 [0.86 - Disease Free Survival HG-U133A 214214_s_at 249 0.174824 GPL96 2.25] GSE4922- 1.37 [0.89 - Disease Free Survival HG-U133A 208910_s_at 249 0.151466 GPL96 2.09] Distant Metastasis Free 1.28 [0.79 - GSE2990 HG-U133A 208910_s_at 125 0.310531 Survival 2.06] 0.78 [0.37 - GSE2990 Relapse Free Survival HG-U133A 214214_s_at 62 0.502492 1.63] 1.12 [0.78 - GSE2990 Relapse Free Survival HG-U133A 208910_s_at 125 0.536003 1.63] Distant Metastasis Free 1.54 [0.83 - GSE2990 HG-U133A 214214_s_at 125 0.169222 Survival 2.87] Distant Metastasis Free 0.82 [0.35 - GSE2990 HG-U133A 208910_s_at 54 0.638987 Survival 1.90] 1.28 [0.80 - GSE2990 Relapse Free Survival HG-U133A 214214_s_at 125 0.307875 2.06] Distant Metastasis Free 0.73 [0.31 - GSE2990 HG-U133A 214214_s_at 54 0.457043 Survival 1.69] 0.90 [0.44 - GSE2990 Relapse Free Survival HG-U133A 208910_s_at 62 0.784708 1.86] Distant Metastasis Free 1.11 [0.74 - GSE7390 HG-U133A 214214_s_at 198 0.618647 Survival 1.65] 1.11 [0.73 - GSE7390 Overall Survival HG-U133A 214214_s_at 198 0.624726 1.69] 1.10 [0.80 - GSE7390 Relapse Free Survival HG-U133A 208910_s_at 198 0.547065 1.52] Distant Metastasis Free 1.06 [0.72 - GSE7390 HG-U133A 208910_s_at 198 0.775386 Survival 1.55] 1.14 [0.81 - GSE7390 Relapse Free Survival HG-U133A 214214_s_at 198 0.444162 1.60] 1.05 [0.70 - GSE7390 Overall Survival HG-U133A 208910_s_at 198 0.818554 1.57] Supplementary Table S3. Datasets of C1QBP expression in lung cancer (Oncomine database). Normal Fold p- Rank Dataset Tumor (Cases) t-Test (Cases) change value (%) Squamous Cell Lung Wachi Lung (5) 1.838 4.106 0.003 6 Carcinoma (5) Large Cell Lung Carcinoma 4.39E- Hou Lung (65) 1.928 5.892 6 (19) 06 Squamous Cell Lung 2.32E- Lung (65) 1.867 7.139 8 Carcinoma (27) 08 4.16E- Lung (65) Lung Adenocarcinoma (45) 1.363 4.857 13 06 9.42E- Landi Lung (49) Lung Adenocarcinoma (58) 1.468 5.59 12 08 Su Lung (30) Lung Adenocarcinoma (27) 1.235 2.037 0.024 23 Okayama Lung (20) Lung Adenocarcinoma (226) 1.182 3.143 0.002 33 Supplementary Table S4. Survival analyses of C1QBP in lung cancer (PrognoScan database). COX p- DATASE HR [95% CI- SUBTYPE ENDPOINT ARRAY TYPE PROBE ID N VALU T low CI-upp] E jacob- Adenocarcinom Overall 1.10 [0.61 - 00182- HG-U133A 208910_s_at 82 0.75218 a Survival 1.98] CANDF jacob- Adenocarcinom Overall 1.21 [0.57 - 00182- HG-U133A 214214_s_at 82 0.61874 a Survival 2.59] CANDF jacob- Adenocarcinom Overall 1.60 [0.94 - 00182- HG-U133A 208910_s_at 79 0.08171 a Survival 2.71] HLM jacob- Adenocarcinom Overall 1.77 [1.00 - 00182- HG-U133A 214214_s_at 79 0.04994 a Survival 3.13] HLM jacob- Adenocarcinom Overall 10 0.74 [0.36 - 00182- HG-U133A 214214_s_at 0.41293 a Survival 4 1.53] MSK jacob- Adenocarcinom Overall 10 0.80 [0.48 - 00182- HG-U133A 208910_s_at 0.40605 a Survival 4 1.35] MSK Adenocarcinom Overall A_23_P37043 11 1.65 [0.93 - GSE13213 G4112F 0.08626 a Survival 4 7 2.91] Adenocarcinom Overall HG- 20 0.65 [0.21 - GSE31210 208910_s_at 0.45502 a Survival U133_Plus_2 4 2.03] Adenocarcinom Overall HG- 20 0.74 [0.21 - GSE31210 214214_s_at 0.64079 a Survival U133_Plus_2 4 2.63] Adenocarcinom Relapse Free HG- 20 1.52 [0.62 - GSE31210 214214_s_at 0.36443 a Survival U133_Plus_2 4 3.73] Adenocarcinom Relapse Free HG- 20 1.41 [0.63 - GSE31210 208910_s_at 0.40748 a Survival U133_Plus_2 4 3.18] jacob- Adenocarcinom Overall 17 0.97 [0.64 - HG-U133A 208910_s_at 0.90606 00182-UM a Survival 8 1.48] jacob- Adenocarcinom Overall 17 1.10 [0.69 - HG-U133A 214214_s_at 0.69053 00182-UM a Survival 8 1.75] Overall Novachip 0.93 [0.49 - GSE11117 NSCLC H200006536 41 0.82862 Survival human 34.5k 1.78] Overall HG- 11 0.82 [0.54 - GSE3141 NSCLC 208910_s_at 0.36701 Survival U133_Plus_2 1 1.26] Overall HG- 11 1.00 [0.66 - GSE3141 NSCLC 214214_s_at 0.99807 Survival U133_Plus_2 1 1.51] Overall 1.18 [0.78 - GSE14814 NSCLC HG-U133A 208910_s_at 90 0.43197 Survival 1.81] Disease 1.22 [0.76 - GSE14814 NSCLC Specific HG-U133A 208910_s_at 90 0.41344 1.97] Survival Disease 1.13 [0.75 - GSE14814 NSCLC Specific HG-U133A 214214_s_at 90 0.55358 1.70]
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    Supplementary Materials Cyclin-dependent kinase 18 controls trafficking of aquaporin-2 and its abundance through ubiquitin ligase STUB1, which functions as an AKAP Dema Alessandro1,2¶, Dörte Faust1¶, Katina Lazarow3, Marc Wippich3, Martin Neuenschwander3, Kerstin Zühlke1, Andrea Geelhaar1, Tamara Pallien1, Eileen Hallscheidt1, Jenny Eichhorst3, Burkhard Wiesner3, Hana Černecká1, Oliver Popp1, Philipp Mertins1, Gunnar Dittmar1, Jens Peter von Kries3, Enno Klussmann1,4* ¶These authors contributed equally to this work 1Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Robert- Rössle-Strasse 10, 13125 Berlin, Germany 2current address: University of California, San Francisco, 513 Parnassus Avenue, CA 94122 USA 3Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), Robert-Rössle-Strasse 10, 13125 Berlin, Germany 4DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Oudenarder Strasse 16, 13347 Berlin, Germany *Corresponding author Enno Klussmann Max Delbrück Center for Molecular Medicine Berlin in the Helmholtz Association (MDC) Robert-Rössle-Str. 10, 13125 Berlin Germany Tel. +49-30-9406 2596 FAX +49-30-9406 2593 E-mail: [email protected] 1 Content 1. CELL-BASED SCREENING BY AUTOMATED IMMUNOFLUORESCENCE MICROSCOPY 3 1.1 Screening plates 3 1.2 Image analysis using CellProfiler 17 1.4 Identification of siRNA affecting cell viability 18 1.7 Hits 18 2. SUPPLEMENTARY TABLE S4, FIGURES S2-S4 20 2 1. Cell-based screening by automated immunofluorescence microscopy 1.1 Screening plates Table S1. Genes targeted with the Mouse Protein Kinases siRNA sub-library. Genes are sorted by plate and well. Accessions refer to National Center for Biotechnology Information (NCBI, BLA) entries. The siRNAs were arranged on three 384-well microtitre platres.
  • Molecular Targeting and Enhancing Anticancer Efficacy of Oncolytic HSV-1 to Midkine Expressing Tumors

    Molecular Targeting and Enhancing Anticancer Efficacy of Oncolytic HSV-1 to Midkine Expressing Tumors

    University of Cincinnati Date: 12/20/2010 I, Arturo R Maldonado , hereby submit this original work as part of the requirements for the degree of Doctor of Philosophy in Developmental Biology. It is entitled: Molecular Targeting and Enhancing Anticancer Efficacy of Oncolytic HSV-1 to Midkine Expressing Tumors Student's name: Arturo R Maldonado This work and its defense approved by: Committee chair: Jeffrey Whitsett Committee member: Timothy Crombleholme, MD Committee member: Dan Wiginton, PhD Committee member: Rhonda Cardin, PhD Committee member: Tim Cripe 1297 Last Printed:1/11/2011 Document Of Defense Form Molecular Targeting and Enhancing Anticancer Efficacy of Oncolytic HSV-1 to Midkine Expressing Tumors A dissertation submitted to the Graduate School of the University of Cincinnati College of Medicine in partial fulfillment of the requirements for the degree of DOCTORATE OF PHILOSOPHY (PH.D.) in the Division of Molecular & Developmental Biology 2010 By Arturo Rafael Maldonado B.A., University of Miami, Coral Gables, Florida June 1993 M.D., New Jersey Medical School, Newark, New Jersey June 1999 Committee Chair: Jeffrey A. Whitsett, M.D. Advisor: Timothy M. Crombleholme, M.D. Timothy P. Cripe, M.D. Ph.D. Dan Wiginton, Ph.D. Rhonda D. Cardin, Ph.D. ABSTRACT Since 1999, cancer has surpassed heart disease as the number one cause of death in the US for people under the age of 85. Malignant Peripheral Nerve Sheath Tumor (MPNST), a common malignancy in patients with Neurofibromatosis, and colorectal cancer are midkine- producing tumors with high mortality rates. In vitro and preclinical xenograft models of MPNST were utilized in this dissertation to study the role of midkine (MDK), a tumor-specific gene over- expressed in these tumors and to test the efficacy of a MDK-transcriptionally targeted oncolytic HSV-1 (oHSV).
  • Research Article

    Research Article

    Breast Cancer Research Vol 6 No 2 Clarkson et al. Research article Open Access Gene expression profiling of mammary gland development reveals putative roles for death receptors and immune mediators in post-lactational regression Richard WE Clarkson1, Matthew T Wayland2, Jennifer Lee2, Tom Freeman2 and Christine J Watson1 1Department of Pathology, University of Cambridge, Cambridge, UK 2MRC-HGMP Resource Centre, Hinxton, UK Correspondence: Richard WE Clarkson (e-mail: [email protected]) Received: 22 Sep 2003 Revisions requested: 12 Nov 2003 Revisions received: 15 Nov 2003 Accepted: 21 Nov 2003 Published: 18 Dec 2003 Breast Cancer Res 2004, 6:R92-R109 (DOI 10.1186/bcr754) © 2004 Clarkson et al., licensee BioMed Central Ltd (Print ISSN 1465-5411; Online ISSN 1465-542X). This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. See related Research article: http://breast-cancer-research.com/content/6/2/R75 and related Commentary: http://breast-cancer-research.com/content/6/2/89 Abstract Introduction In order to gain a better understanding of the transducer and activator of signalling-3) signalling. Before molecular processes that underlie apoptosis and tissue involution, expected increases in cell proliferation, biosynthesis regression in mammary gland, we undertook a large-scale and metabolism-related genes were observed. During analysis of transcriptional changes during the mouse mammary involution, the first 24 hours after weaning was characterized pregnancy cycle, with emphasis on the transition from lactation by a transient increase in expression of components of the to involution.
  • Program in Human Neutrophils Fails To

    Program in Human Neutrophils Fails To

    Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 is online at: average * The Journal of Immunology Anaplasma phagocytophilum , 20 of which you can access for free at: 2005; 174:6364-6372; ; from submission to initial decision 4 weeks from acceptance to publication J Immunol doi: 10.4049/jimmunol.174.10.6364 http://www.jimmunol.org/content/174/10/6364 Insights into Pathogen Immune Evasion Mechanisms: Fails to Induce an Apoptosis Differentiation Program in Human Neutrophils Dori L. Borjesson, Scott D. Kobayashi, Adeline R. Whitney, Jovanka M. Voyich, Cynthia M. Argue and Frank R. DeLeo cites 28 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/2005/05/03/174.10.6364.DC1 This article http://www.jimmunol.org/content/174/10/6364.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 © 2005 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Insights into Pathogen Immune Evasion Mechanisms: Anaplasma phagocytophilum Fails to Induce an Apoptosis Differentiation Program in Human Neutrophils1 Dori L.