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Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
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. -
HMGB1 in Health and Disease R
Donald and Barbara Zucker School of Medicine Journal Articles Academic Works 2014 HMGB1 in health and disease R. Kang R. C. Chen Q. H. Zhang W. Hou S. Wu See next page for additional authors Follow this and additional works at: https://academicworks.medicine.hofstra.edu/articles Part of the Emergency Medicine Commons Recommended Citation Kang R, Chen R, Zhang Q, Hou W, Wu S, Fan X, Yan Z, Sun X, Wang H, Tang D, . HMGB1 in health and disease. 2014 Jan 01; 40():Article 533 [ p.]. Available from: https://academicworks.medicine.hofstra.edu/articles/533. Free full text article. This Article is brought to you for free and open access by Donald and Barbara Zucker School of Medicine Academic Works. It has been accepted for inclusion in Journal Articles by an authorized administrator of Donald and Barbara Zucker School of Medicine Academic Works. Authors R. Kang, R. C. Chen, Q. H. Zhang, W. Hou, S. Wu, X. G. Fan, Z. W. Yan, X. F. Sun, H. C. Wang, D. L. Tang, and +8 additional authors This article is available at Donald and Barbara Zucker School of Medicine Academic Works: https://academicworks.medicine.hofstra.edu/articles/533 NIH Public Access Author Manuscript Mol Aspects Med. Author manuscript; available in PMC 2015 December 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Mol Aspects Med. 2014 December ; 0: 1–116. doi:10.1016/j.mam.2014.05.001. HMGB1 in Health and Disease Rui Kang1,*, Ruochan Chen1, Qiuhong Zhang1, Wen Hou1, Sha Wu1, Lizhi Cao2, Jin Huang3, Yan Yu2, Xue-gong Fan4, Zhengwen Yan1,5, Xiaofang Sun6, Haichao Wang7, Qingde Wang1, Allan Tsung1, Timothy R. -
DNA Supercoiling with a Twist Edwin Kamau Louisiana State University and Agricultural and Mechanical College, [email protected]
Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School 2005 DNA supercoiling with a twist Edwin Kamau Louisiana State University and Agricultural and Mechanical College, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Recommended Citation Kamau, Edwin, "DNA supercoiling with a twist" (2005). LSU Doctoral Dissertations. 999. https://digitalcommons.lsu.edu/gradschool_dissertations/999 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. DNA SUPERCOILING WITH A TWIST A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The Department of Biological Sciences By Edwin Kamau B.S. Horticulture, Egerton University, Kenya, 1996, May, 2005 DEDICATIONS I would like to dedicate this dissertation to my son, Ashford Kimani Kamau. Your age marks the life of my graduate school career. I have been a weekend dad, broke and with enormous financial responsibilities; it kills me to see how sometimes you cry your heart out on Sunday evening when our weekend time together is over. I miss you too every moment, you have encouraged me to be a better person, a better dad so that I can make you proud. At your tender age, I have learned a lot from you. We will soon spend all the time in the world we need together; travel, sports, music, pre-historic discoveries and adventures; the road is wide open. -
The Forkhead-Box Family of Transcription Factors: Key Molecular Players in Colorectal Cancer Pathogenesis Paul Laissue
Laissue Molecular Cancer (2019) 18:5 https://doi.org/10.1186/s12943-019-0938-x REVIEW Open Access The forkhead-box family of transcription factors: key molecular players in colorectal cancer pathogenesis Paul Laissue Abstract Colorectal cancer (CRC) is the third most commonly occurring cancer worldwide and the fourth most frequent cause of death having an oncological origin. It has been found that transcription factors (TF) dysregulation, leading to the significant expression modifications of genes, is a widely distributed phenomenon regarding human malignant neoplasias. These changes are key determinants regarding tumour’s behaviour as they contribute to cell differentiation/proliferation, migration and metastasis, as well as resistance to chemotherapeutic agents. The forkhead box (FOX) transcription factor family consists of an evolutionarily conserved group of transcriptional regulators engaged in numerous functions during development and adult life. Their dysfunction has been associated with human diseases. Several FOX gene subgroup transcriptional disturbances, affecting numerous complex molecular cascades, have been linked to a wide range of cancer types highlighting their potential usefulness as molecular biomarkers. At least 14 FOX subgroups have been related to CRC pathogenesis, thereby underlining their role for diagnosis, prognosis and treatment purposes. This manuscript aims to provide, for the first time, a comprehensive review of FOX genes’ roles during CRC pathogenesis. The molecular and functional characteristics of most relevant FOX molecules (FOXO, FOXM1, FOXP3) have been described within the context of CRC biology, including their usefulness regarding diagnosis and prognosis. Potential CRC therapeutics (including genome-editing approaches) involving FOX regulation have also been included. Taken together, the information provided here should enable a better understanding of FOX genes’ function in CRC pathogenesis for basic science researchers and clinicians. -
FOXQ1 Controls the Induced Differentiation of Melanocytic Cells
Cell Death & Differentiation (2018) 25:1040–1049 https://doi.org/10.1038/s41418-018-0066-y ARTICLE FOXQ1 controls the induced differentiation of melanocytic cells 1,7 1 1 1 1 Archis Bagati ● Anna Bianchi-Smiraglia ● Sudha Moparthy ● Kateryna Kolesnikova ● Emily E. Fink ● 1 1 1 1 1 1 Masha Kolesnikova ● Matthew V. Roll ● Peter Jowdy ● David W. Wolff ● Anthony Polechetti ● Dong Hyun Yun ● 1 1 1 1 1 Brittany C. Lipchick ● Leslie M. Paul ● Brian Wrazen ● Kalyana Moparthy ● Shaila Mudambi ● 2 3 4 1 4 1 Galina E. Morozevich ● Sofia G. Georgieva ● Jianmin Wang ● Gal Shafirstein ● Song Liu ● Eugene S. Kandel ● 2 5 1,6 1 Albert E. Berman ● Neil F. Box ● Gyorgy Paragh ● Mikhail A. Nikiforov Received: 9 October 2017 / Revised: 26 December 2017 / Accepted: 11 January 2018 / Published online: 20 February 2018 © ADMC Associazione Differenziamento e Morte Cellulare 2018 Abstract Oncogenic transcription factor FOXQ1 has been implicated in promotion of multiple transformed phenotypes in carcinoma cells. Recently, we have characterized FOXQ1 as a melanoma tumor suppressor that acts via repression of N-cadherin gene, and invasion and metastasis. Here we report that FOXQ1 induces differentiation in normal and transformed melanocytic cells at least partially via direct transcriptional activation of MITF gene, melanocytic lineage-specific regulator of differentiation. Importantly, we demonstrate that pigmentation induced in cultured melanocytic cells and in mice by 1234567890();,: activation of cAMP/CREB1 pathway depends in large part on FOXQ1. Moreover, our data reveal that FOXQ1 acts as a critical mediator of BRAFV600E-dependent regulation of MITF levels, thus providing a novel link between two major signal transduction pathways controlling MITF and differentiation in melanocytic cells. -
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 -
Rats and Axolotls Share a Common Molecular Signature After Spinal Cord Injury Enriched in Collagen-1
Rats and axolotls share a common molecular signature after spinal cord injury enriched in collagen-1 Athanasios Didangelos1, Katalin Bartus1, Jure Tica1, Bernd Roschitzki2, Elizabeth J. Bradbury1 1Wolfson CARD King’s College London, United Kingdom. 2Centre for functional Genomics, ETH Zurich, Switzerland. Running title: spinal cord injury in rats and axolotls Correspondence: A Didangelos: [email protected] SUPPLEMENTAL FIGURES AND LEGENDS Supplemental Fig. 1: Rat 7 days microarray differentially regulated transcripts. A-B: Protein-protein interaction networks of upregulated (A) and downregulated (B) transcripts identified by microarray gene expression profiling of rat SCI (4 sham versus 4 injured spinal cord samples) 7 days post-injury. Microarray expression data and experimental information is publicly available online (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45006) and is also summarised in Supplemental Table 1. Protein-protein interaction networks were performed in StringDB using the full range of protein interaction scores (0.15 – 0.99) to capture maximum evidence of proteins’ interactions. Networks were then further analysed for betweeness centrality and gene ontology (GO) annotations (BinGO) in Cytoscape. Node colour indicates betweeness centrality while edge colour and thickness indicate interaction score based on predicted functional links between nodes (green: low values; red: high values). C-D: The top 10 upregulated (C) or downregulated (D) transcripts sorted by betweeness centrality score in protein-protein interaction networks shown in A & B. E-F: Biological process GO analysis was performed on networks of upregulated and downregulated genes using BinGO in Cytoscape. Graphs indicate the 20 most significant GO categories and the number of genes in each category. -
CAR-Null, Cyp3a-Null, and Cyp2b9/10/13-Null Mice
UC Berkeley UC Berkeley Previously Published Works Title Compensatory changes in CYP expression in three different toxicology mouse models: CAR- null, Cyp3a-null, and Cyp2b9/10/13-null mice. Permalink https://escholarship.org/uc/item/2h40v9s9 Journal PloS one, 12(3) ISSN 1932-6203 Authors Kumar, Ramiya Mota, Linda C Litoff, Elizabeth J et al. Publication Date 2017 DOI 10.1371/journal.pone.0174355 Peer reviewed eScholarship.org Powered by the California Digital Library University of California RESEARCH ARTICLE Compensatory changes in CYP expression in three different toxicology mouse models: CAR-null, Cyp3a-null, and Cyp2b9/10/13-null mice Ramiya Kumar1, Linda C. Mota2, Elizabeth J. Litoff1, John P. Rooney3, W. Tyler Boswell1, Elliott Courter1, Charles M. Henderson1, Juan P. Hernandez4, J. Christopher Corton3, David D. Moore4, William S. Baldwin1,2* a1111111111 a1111111111 1 Biological Sciences, Clemson University, Clemson, SC, United States of America, 2 Environmental Toxicology, Clemson University, Pendleton, SC, United States of America, 3 NHEERL, US-EPA, Research a1111111111 Triangle Park, NC, United States of America, 4 Molecular and Cellular Biology, Baylor College of Medicine, a1111111111 Houston, TX, United States of America a1111111111 * [email protected] Abstract OPEN ACCESS Citation: Kumar R, Mota LC, Litoff EJ, Rooney JP, Targeted mutant models are common in mechanistic toxicology experiments investigating Boswell WT, Courter E, et al. (2017) Compensatory the absorption, metabolism, distribution, or elimination (ADME) of chemicals from individu- changes in CYP expression in three different als. Key models include those for xenosensing transcription factors and cytochrome P450s toxicology mouse models: CAR-null, Cyp3a-null, and Cyp2b9/10/13-null mice. -
Lack of Rybp in Mouse Embryonic Stem Cells Impairs Cardiac Differentiation O
Page 1 of 43 1 Lack of Rybp in Mouse Embryonic Stem Cells Impairs Cardiac Differentiation O. Ujhelly1, V. Szabo2, G. Kovacs2, F. Vajda2, S. Mallok4, J. Prorok5, K. Acsai6, Z. Hegedus3, S. Krebs4, A. Dinnyes1,7 and M. K. Pirity2 * 1 BioTalentum Ltd, H-2100 Gödöllö, Hungary 2 Institute of Genetics, Biological Research Centre, Hungarian Academy of Sciences, H-6726 Szeged, Hungary 3 Institute of Biophysics, Biological Research Centre, Hungarian Academy of Sciences, H-6726 Szeged, Hungary 4 Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, Munich, Germany 5 Department of Pharmacology and Pharmacotherapy, University of Szeged, Szeged, Hungary 6 MTA-SZTE Research Group of Cardiovascular Pharmacology, Szeged, Hungary 7 Molecular Animal Biotechnology Laboratory, Szent Istvan University, Gödöllö, Hungary * Author for correspondence at Institute of Genetics, Biological Research Centre, Hungarian Academy of Sciences, H-6726 Szeged, Hungary Stem Cells and Development Ring1 and Yy1 Binding Protein (Rybp) has been implicated in transcriptional regulation, apoptotic signaling and as a member of the polycomb repressive complex 1 has important function in regulating pluripotency and differentiation of embryonic stem cells. Earlier, we have proven that Rybp plays essential role in mouse embryonic and central nervous system development. This work identifies Rybp, as a critical regulator of heart development. Rybp is readily detectable in the developing mouse heart from day 8.5 of embryonic development. Prominent Rybp expression persists during all embryonic stages and Rybp marks differentiated cell types of the heart. By utilizing rybp null embryonic stem cells (ESCs) in an in vitro cardiac Lack of Rybp in Mouse Embryonic Stem Cells Impairs Cardiac Differentiation (doi: 10.1089/scd.2014.0569) differentiation assay we found that rybp null ESCs do not form rhythmically beating cardiomyocytes. -
Table SII. Significantly Differentially Expressed Mrnas of GSE23558 Data Series with the Criteria of Adjusted P<0.05 And
Table SII. Significantly differentially expressed mRNAs of GSE23558 data series with the criteria of adjusted P<0.05 and logFC>1.5. Probe ID Adjusted P-value logFC Gene symbol Gene title A_23_P157793 1.52x10-5 6.91 CA9 carbonic anhydrase 9 A_23_P161698 1.14x10-4 5.86 MMP3 matrix metallopeptidase 3 A_23_P25150 1.49x10-9 5.67 HOXC9 homeobox C9 A_23_P13094 3.26x10-4 5.56 MMP10 matrix metallopeptidase 10 A_23_P48570 2.36x10-5 5.48 DHRS2 dehydrogenase A_23_P125278 3.03x10-3 5.40 CXCL11 C-X-C motif chemokine ligand 11 A_23_P321501 1.63x10-5 5.38 DHRS2 dehydrogenase A_23_P431388 2.27x10-6 5.33 SPOCD1 SPOC domain containing 1 A_24_P20607 5.13x10-4 5.32 CXCL11 C-X-C motif chemokine ligand 11 A_24_P11061 3.70x10-3 5.30 CSAG1 chondrosarcoma associated gene 1 A_23_P87700 1.03x10-4 5.25 MFAP5 microfibrillar associated protein 5 A_23_P150979 1.81x10-2 5.25 MUCL1 mucin like 1 A_23_P1691 2.71x10-8 5.12 MMP1 matrix metallopeptidase 1 A_23_P350005 2.53x10-4 5.12 TRIML2 tripartite motif family like 2 A_24_P303091 1.23x10-3 4.99 CXCL10 C-X-C motif chemokine ligand 10 A_24_P923612 1.60x10-5 4.95 PTHLH parathyroid hormone like hormone A_23_P7313 6.03x10-5 4.94 SPP1 secreted phosphoprotein 1 A_23_P122924 2.45x10-8 4.93 INHBA inhibin A subunit A_32_P155460 6.56x10-3 4.91 PICSAR P38 inhibited cutaneous squamous cell carcinoma associated lincRNA A_24_P686965 8.75x10-7 4.82 SH2D5 SH2 domain containing 5 A_23_P105475 7.74x10-3 4.70 SLCO1B3 solute carrier organic anion transporter family member 1B3 A_24_P85099 4.82x10-5 4.67 HMGA2 high mobility group AT-hook 2 A_24_P101651 -
DNMT Inhibitors Increase Methylation at Subset of Cpgs in Colon
bioRxiv preprint doi: https://doi.org/10.1101/395467; this version posted August 25, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Title: DNMT inhibitors increase methylation at subset of CpGs in colon, bladder, lymphoma, 2 breast, and ovarian, cancer genome 3 Running title: Decitabine/azacytidine increases DNA methylation 4 Anil K Giri1, Tero Aittokallio1,2 5 1Institute for Molecular Medicine Finland, FIMM, University of Helsinki, Helsinki, Finland. 6 2Department of Mathematics and Statistics, University of Turku, Turku, Finland. 7 Correspondence to 8 Dr. Anil K Giri 9 Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland. 10 Email: [email protected] 11 Financial disclosure: This work was funded by the Academy of Finland (grants 269862, 292611, 12 310507 and 313267), Cancer Society of Finland, and the Sigrid Juselius Foundation. 13 Ethical disclosure: This study is an independent analysis of existing data available in the public 14 domain and does not involve any animal or human samples that have been collected by the authors 15 themselves. 16 Author contribution: AKG conceptualized, analyzed the data and wrote the manuscript. TA 17 critically revised and edited the manuscript. The authors report no conflict of interest. 18 19 Word count: 20 Figure number: 5 21 Table number: 1 22 23 Abstract 24 Background: DNA methyltransferase inhibitors (DNMTi) decitabine and azacytidine are approved 25 therapies for acute myeloid leukemia and myelodysplastic syndrome.