View of the Literature

Total Page:16

File Type:pdf, Size:1020Kb

View of the Literature Roles of Adipose Tissue-Derived Factors in Adipose Tissue Development and Lipid Metabolism Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Jinsoo Ahn, M.S. Graduate Program in Ohio State University Nutrition The Ohio State University 2015 Dissertation Committee: Kichoon Lee, Ph.D., Advisor Earl H. Harrison, Ph.D. Ramesh Selvaraj, Ph.D. Ouliana Ziouzenkova, Ph.D. Copyright by Jinsoo Ahn 2015 Abstract Obesity is a global trend and major risk factor for serious diseases including type 2 diabetes, heart disease, and hypertension. Obesity is characterized by excess fat accumulation, especially in the visceral area. The pathogenic effects related to common obesity are largely attributed to dysregulated secretion of adipokines followed by insulin resistance in peripheral tissues when adipose tissue mass is altered. White adipose tissue serves as a dynamic endocrine organ as well as a major energy reservoir for whole-body energy homeostasis. Adipokines influence various metabolic processes in the body including adipocyte differentiation; however, precise physiological roles of adipokines need to be further investigated. In addition, a large proportion of adipokines still needs to be identified. Information from the gene expression omnibus (GEO) profile, a public repository for microarray data, combined with confirmatory studies on mRNA and protein expression were used to identify a novel adipose tissue-specific gene, chordin-like 1 (Chrdl1). Further analysis showed that Chrdl1 encodes a putative secreted protein which is a new adipokine. Chrdl1 expression increases during 3T3-L1 adipocyte development in vitro and mouse adipose tissue development in vivo. This pattern, combined with a dramatically increased lipid accumulation and adipocyte differentiation in Chrdl1- overexpressing 3T3-L1 cells suggests that Chrdl1 is a novel pro-adipogenic adipokine which plays stimulatory roles during adipocyte development. ii Adipose tissue is also of great significance in the production of food animals. Reduction of adipose tissue mass will lead to partitioning dietary nutrients towards muscle instead of storage as fat, which enhances feed efficiency and decreases production costs. The net decrease in adiposity is achieved by down-regulation of fat accumulation and up-regulation of fat breakdown or lipolysis. The regulation of lipolysis is likely to be applied to control fat content and increase meat production. The initial step of lipolysis is catalyzed by adipose triglyceride lipase (ATGL) which is the rate-limiting step in this process. Comparative gene identification-58 (CGI-58) and G0/G1 switch gene 2 (G0S2) are known to be an activator and an inhibitor of ATGL-mediated lipolysis, respectively. In the current study, porcine G0S2 was abundantly expressed in adipose tissue and the liver, and its expression was spatially confined in fat cell fraction and temporally specified in late developmental stages, suggesting that G0S2 expression is related to adipocyte development (pro-adipogenic) as well as inhibition of ATGL (anti-lipolytic). In another study, the expression of bovine G0S2 and CGI-58 in muscle of high-marbled steers of Hanwoo, a Korean cattle, was investigated. The regulation of lipolysis in muscle has a potential to increase marbling (intramuscular fat) in beef carcasses. The expression of G0S2 and CGI-58 was significantly higher in longissimus dorsi muscle of high- marbled steers than in less-marbled bulls, suggesting that both genes are novel candidate biomarkers of marbling in beef cattle. In addition, G0S2 was highly expressed in intramuscular fat portion separated from the longissimus dorsi muscle, whereas the expresson of CGI-58 was significantly higher in the remaining portion consisting of the longissimus dorsi muscle without intramuscular fat. It suggests that G0S2 inhibits ATGL- mediated lipolysis in intramuscular fat while CGI-58 activates ATGL in lipids of iii myocytes (intramyocellular triglycerides) which serves as an immediate source of energy during exercise. In another recent study, RBP7 was identified as a novel adipose-specific gene in avian species through gene expression profiling after performing chicken microarray along with real-time PCR and Western blot analysis. Because the RBP7 promoter region was revealed to contain several potential binding sites for adipogenic transcription factors, transgenic quail containing a green fluorescent protein (GFP) gene under the control of the RBP7 promoter were generated by lentivirus-mediated gene transfer. GFP expression in transgenic quail was specific to adipose tissue and increased after adipocyte differentiation. These findings provide compelling evidence that the RBP7 promoter-gene construct can be used to overexpress target genes in adipose tissue. In conclusion, this study has found a new visceral adipokine (Chrdl1), marbling biomarkers (G0S2 and CGI-58), and an adipose-specific gene (RBP7) and its promoter for overexpression of target genes in vivo. It has been shown that Chrdl1 increases lipid accumulation and adipocyte differentiation of 3T3L1 preadipocytes. Expressions of G0S2 and CGI-58, regulators of ATGL-mediated lipolysis, were significantly higher in longissimus dorsi muscle of high-marbled steers. Avian RBP7 gene showed an exclusive expression adipose tissue, and its promoter was used to generate transgenic quail expressing a target gene (GFP) in adipose tissue. Together, this study advances adipose tissue biology through identification of genes related to adipokine, marbling, and adipose-specific expression. iv Acknowledgements First, I would like to express my sincere gratitude to my advisor, Dr. Kichoon Lee, for offering me the opportunity to conduct this research. His continuous guidance and support helped me the entire time required to accomplish my doctoral research. I am grateful of sharing his experience, knowledge, and enthusiasm. Without his advice, this study would not have been successful. I also would like to sincerely thank members of my dissertation committee, Dr. Earl Harrison, Dr. Ramesh Selvaraj and Dr. Ouliana Ziouzenkova for their insightful comments and all the encouragements. I would like to appreciate to Dr. Jeff Firkins, the director of my Interdisciplinary Ph.D. Program in Nutrition, and Ms. Amanda Hargett, the program manager, for their instructions and advice from start to finish. I would also thank all of previous and current members in the Lee Lab and my colleagues and fellow students: Ms. Yeunsu Suh, Dr. Sangsu Shin, Aishlin Lee, Xiang Li, Dr. Yan Song, Shujin Yang, Dr. Young Min Choi, Jibin Zhang, Paula Chen, Elizabeth Kim, Ju Yeon Park for their suggestions and kind assistance, and Dr. Henry Zerby, Dr. Steven Moeller, Dr. Macdonald Wick, Dr. Joe Ottobre, Ann Ottobre, Ben Wenner, Mike Cressman, Yang Cheng, and all other colleagues in the Dept. Animal Sciences for their support and collaborations. v Finally, I would like to give my gratefulness to my late father (Prof. Jong-Cheol Ahn), mother (Seung-Hae Jung), and brother (Taesoo Ahn) for encouraging me to pursue this degree and supporting me throughout my life. vi Vita 1999 ...............................................................B.S. Biotechnology, Yonsei University, Seoul, Korea 2011 ...............................................................M.S. Foods and Nutrition, Ohio University 2011 to present ..............................................Graduate Research Associate, Ohio State University Nutrition, The Ohio State University Publications 1. Ahn J, Oh SA, Suh Y, Moeller SL, Lee K. (2013) Porcine G0/G1 switch gene 2 (G0S2) expression is regulated during adipogenesis and short-term in-vivo nutritional interventions. Lipids, 48(3):209–18. 2. [Song Y, Ahn J], Suh Y, Davis ME, Lee K. (2013) Identification of novel tissue- specific genes by analysis of microarray databases: a human and mouse model. PLoS One, 8(5):e64483. 3. Ahn J, Li X, Choi YM, Shin S, Oh SA, Suh Y, Nguyen TH, Baik M, Hwang S, Lee K. (2014) Differential expressions of G0/G1 switch gene 2 and comparative gene identification 58 are associated with fat content in bovine muscle. Lipids, 49(1):1–14. 4. [Hassan A, Ahn J], Suh Y, Choi YM, Chen P, Lee K. (2014) Selenium promotes adipogenic determination and differentiation of chicken embryonic fibroblasts with regulation of genes in fatty acid uptake, triacylglycerol synthesis, and lipolysis. Journal of Nutritional Biochemistry, 25(8):858–67. vii 5. Zhang J, Suh Y, Choi YM, Ahn J, Davis ME, Lee K. (2014) Differential expression of cyclin G2, cyclin dependent kinase inhibitor 2C and peripheral myelin protein 22 genes during adipogenesis. Animal, 8(5):800–9. 6. Choi YM, Suh Y, Ahn J, Lee K. (2014) Muscle hypertrophy in heavy weight Japanese quail line: Delayed muscle maturation and continued muscle growth with prolonged upregulation of myogenic regulatory factors. Poult Sci, 93(9):2271–7. 7. Ahn J, Shin S, Suh Y, Park JY, Hwang S, Lee K. (2015) Identification of the avian RBP7 gene as a new adipose-specific gene and RBP7 promoter-driven GFP expression in adipose tissue of transgenic quail. PLoS One, 10(4):e0124768. Fields of study Major Field: Ohio State University Nutrition viii Table of Contents Abstract ............................................................................................................................... ii Acknowledgments..............................................................................................................
Recommended publications
  • RBP2 Belongs to a Family of Demethylases, Specific For
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector RBP2 Belongs to a Family of Demethylases, Specific for Tri- and Dimethylated Lysine 4 on Histone 3 Jesper Christensen,1,2,4 Karl Agger,1,2,4 Paul A.C. Cloos,1,2,4 Diego Pasini,1,2 Simon Rose,2 Lau Sennels,3 Juri Rappsilber,3 Klaus H. Hansen,1,2 Anna Elisabetta Salcini,2,* and Kristian Helin1,2,* 1 Centre for Epigenetics 2 Biotech Research and Innovation Centre (BRIC) University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark 3 Wellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh, EH9 3JR, UK 4 These authors contributed equally to this work. *Correspondence: [email protected] (K.H.), [email protected] (A.E.S.) DOI 10.1016/j.cell.2007.02.003 SUMMARY activity (Strahl and Allis, 2000; Turner, 2000). Thus, some of these modifications appear to play important roles in Methylation of histones has been regarded as dividing the genome into transcriptionally active and a stable modification defining the epigenetic inactive areas. program of the cell, which regulates chromatin As an example of this, tri- and dimethylation of histone structure and transcription. However, the recent H3 at lysine 4 (H3K4me3/me2) is restricted to euchromatin discovery of histone demethylases has chal- and is generally associated with active transcription (Sims lenged the stable nature of histone methylation. and Reinberg, 2006). The H3K4 tri- and dimethylation marks may facilitate transcription by the recruitment of nu- Here we demonstrate that the JARID1 proteins cleosome remodeling complexes and histone-modifying RBP2, PLU1, and SMCX are histone demethy- enzymes or by preventing transcriptional repressors lases specific for di- and trimethylated histone from binding to chromatin.
    [Show full text]
  • ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed
    ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed Probe Sets in Livers of GK Rats. A. Immune/Inflammatory (67 probe sets, 63 genes) Age Strain Probe ID Gene Name Symbol Accession Gene Function 5 WKY 1398390_at small inducible cytokine B13 precursor Cxcl13 AA892854 chemokine activity; lymph node development 5 WKY 1389581_at interleukin 33 Il33 BF390510 cytokine activity 5 WKY *1373970_at interleukin 33 Il33 AI716248 cytokine activity 5 WKY 1369171_at macrophage stimulating 1 (hepatocyte growth factor-like) Mst1; E2F2 NM_024352 serine-throenine kinase; tumor suppression 5 WKY 1388071_x_at major histocompatability antigen Mhc M24024 antigen processing and presentation 5 WKY 1385465_at sialic acid binding Ig-like lectin 5 Siglec5 BG379188 sialic acid-recognizing receptor 5 WKY 1393108_at major histocompatability antigen Mhc BM387813 antigen processing and presentation 5 WKY 1388202_at major histocompatability antigen Mhc BI395698 antigen processing and presentation 5 WKY 1371171_at major histocompatability antigen Mhc M10094 antigen processing and presentation 5 WKY 1370382_at major histocompatability antigen Mhc BI279526 antigen processing and presentation 5 WKY 1371033_at major histocompatability antigen Mhc AI715202 antigen processing and presentation 5 WKY 1383991_at leucine rich repeat containing 8 family, member E Lrrc8e BE096426 proliferation and activation of lymphocytes and monocytes. 5 WKY 1383046_at complement component factor H Cfh; Fh AA957258 regulation of complement cascade 4 WKY 1369522_a_at CD244 natural killer
    [Show full text]
  • Downloaded from Or Mesak Et Al
    Mesak et al. BMC Genomics (2015) 16:989 DOI 10.1186/s12864-015-2210-0 RESEARCH ARTICLE Open Access Transcriptomics of diapause in an isogenic self-fertilizing vertebrate Felix Mesak1,2*, Andrey Tatarenkov1 and John C. Avise1 Abstract Background: Many vertebrate species have the ability to undergo weeks or even months of diapause (a temporary arrest of development during early ontogeny). Identification of diapause genes has been challenging due in part to the genetic heterogeneity of most vertebrate animals. Results: Here we take the advantage of the mangrove rivulus fish (Kryptolebias marmoratus or Kmar)—the only vertebrate that is extremely inbred due to consistent self-fertilization—to generate isogenic lineages for transcriptomic dissection. Because the Kmar genome is not publicly available, we built de novo genomic (642 Mb) and transcriptomic assemblies to serve as references for global genetic profiling of diapause in Kmar, via RNA-Seq. Transcripts unique to diapause in Kmar proved to constitute only a miniscule fraction (0.1 %) of the total pool of transcribed products. Most genes displayed lower expression in diapause than in post-diapause. However, some genes (notably dusp27, klhl38 and sqstm1) were significantly up-regulated during diapause, whereas others (col9a1, dspp and fmnl1) were substantially down-regulated, compared to both pre-diapause and post-diapause. Conclusion: Kmar offers a strong model for understanding patterns of gene expression during diapause. Our study highlights the importance of using a combination of genome and transcriptome assemblies as references for NGS-based RNA-Seq analyses. As for all identified diapause genes, in future studies it will be critical to link various levels of RNA expression with the functional roles of the coded products.
    [Show full text]
  • MALE Protein Name Accession Number Molecular Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean H Mean PDAC Mean T-Test PDAC Vs. H T-Test
    MALE t-test t-test Accession Molecular H PDAC PDAC vs. PDAC vs. Protein Name Number Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean Mean Mean H CP PDAC/H PDAC/CP - 22 kDa protein IPI00219910 22 kDa 7 5 4 8 1 0 6 6 1 0.1126 0.0456 0.1 0.1 - Cold agglutinin FS-1 L-chain (Fragment) IPI00827773 12 kDa 32 39 34 26 53 57 36 30 55 0.0309 0.0388 1.8 1.5 - HRV Fab 027-VL (Fragment) IPI00827643 12 kDa 4 6 0 0 0 0 5 0 0 - 0.0574 - 0.0 - REV25-2 (Fragment) IPI00816794 15 kDa 8 12 5 7 8 9 10 6 8 0.2225 0.3844 1.3 0.8 A1BG Alpha-1B-glycoprotein precursor IPI00022895 54 kDa 115 109 106 112 111 100 112 109 105 0.6497 0.4138 1.0 0.9 A2M Alpha-2-macroglobulin precursor IPI00478003 163 kDa 62 63 86 72 14 18 63 79 16 0.0120 0.0019 0.2 0.3 ABCB1 Multidrug resistance protein 1 IPI00027481 141 kDa 41 46 23 26 52 64 43 25 58 0.0355 0.1660 2.4 1.3 ABHD14B Isoform 1 of Abhydrolase domain-containing proteinIPI00063827 14B 22 kDa 19 15 19 17 15 9 17 18 12 0.2502 0.3306 0.7 0.7 ABP1 Isoform 1 of Amiloride-sensitive amine oxidase [copper-containing]IPI00020982 precursor85 kDa 1 5 8 8 0 0 3 8 0 0.0001 0.2445 0.0 0.0 ACAN aggrecan isoform 2 precursor IPI00027377 250 kDa 38 30 17 28 34 24 34 22 29 0.4877 0.5109 1.3 0.8 ACE Isoform Somatic-1 of Angiotensin-converting enzyme, somaticIPI00437751 isoform precursor150 kDa 48 34 67 56 28 38 41 61 33 0.0600 0.4301 0.5 0.8 ACE2 Isoform 1 of Angiotensin-converting enzyme 2 precursorIPI00465187 92 kDa 11 16 20 30 4 5 13 25 5 0.0557 0.0847 0.2 0.4 ACO1 Cytoplasmic aconitate hydratase IPI00008485 98 kDa 2 2 0 0 0 0 2 0 0 - 0.0081 - 0.0
    [Show full text]
  • Vertebrate Fatty Acid and Retinoid Binding Protein Genes and Proteins: Evidence for Ancient and Recent Gene Duplication Events
    In: Advances in Genetics Research. Volume 11 ISBN: 978-1-62948-744-1 Editor: Kevin V. Urbano © 2014 Nova Science Publishers, Inc. Chapter 7 Vertebrate Fatty Acid and Retinoid Binding Protein Genes and Proteins: Evidence for Ancient and Recent Gene Duplication Events Roger S. Holmes Eskitis Institute for Drug Discovery and School of Biomolecular and Physical Sciences, Griffith University, Nathan, QLD, Australia Abstract Fatty acid binding proteins (FABP) and retinoid binding proteins (RBP) are members of a family of small, highly conserved cytoplasmic proteins that function in binding and facilitating the cellular uptake of fatty acids, retinoids and other hydrophobic compounds. Several human FABP-like genes are expressed in the body: FABP1 (liver); FABP2 (intestine); FABP3 (heart and skeletal muscle); FABP4 (adipocyte); FABP5 (epidermis); FABP6 (ileum); FABP7 (brain); FABP8 (nervous system); FABP9 (testis); and FABP12 (retina and testis). A related gene (FABP10) is expressed in lower vertebrate liver and other tissues. Four RBP genes are expressed in human tissues: RBP1 (many tissues); RBP2 (small intestine epithelium); RBP5 (kidney and liver); and RBP7 (kidney and heart). Comparative FABP and RBP amino acid sequences and structures and gene locations were examined using data from several vertebrate genome projects. Sequence alignments, key amino acid residues and conserved predicted secondary and tertiary structures were also studied, including lipid binding regions. Vertebrate FABP- and RBP- like genes usually contained 4 coding exons in conserved locations, supporting a common evolutionary origin for these genes. Phylogenetic analyses examined the relationships and evolutionary origins of these genes, suggesting division into three FABP gene classes: 1: FABP1, FABP6 and FABP10; 2: FABP2; and 3, with 2 groups: 3A: FABP4, FABP8, FABP9 and FABP12; and 3B: and FABP3, FABP5 and FABP7.
    [Show full text]
  • Regulation of Peripheral Nerve Myelin Maintenance by Gene Repression Through Polycomb Repressive Complex 2
    8640 • The Journal of Neuroscience, June 3, 2015 • 35(22):8640–8652 Cellular/Molecular Regulation of Peripheral Nerve Myelin Maintenance by Gene Repression through Polycomb Repressive Complex 2 X Ki H. Ma,1,2 Holly A. Hung,1,2 Rajini Srinivasan,1 Huafeng Xie,4 Stuart H. Orkin,4 and John Svaren1,3 1Waisman Center, 2Cellular and Molecular Pathology Graduate Program, 3Department of Comparative Biosciences, University of Wisconsin-Madison, Madison, Wisconsin 53705, and 4Dana Farber Cancer Institute and Boston Children’s Hospital, Harvard Medical School and Howard Hughes Medical Institute, Boston, Massachusetts 02115 Myelination of peripheral nerves by Schwann cells requires coordinate regulation of gene repression as well as gene activation. Several chromatin remodeling pathways critical for peripheral nerve myelination have been identified, but the functions of histone methylation in the peripheral nerve have not been elucidated. To determine the role of histone H3 Lys27 methylation, we have generated mice with a Schwann cell-specific knock-out of Eed, which is an essential subunit of the polycomb repressive complex 2 (PRC2) that catalyzes methylation of histone H3 Lys27. Analysis of this mutant revealed no significant effects on early postnatal development of myelin. However, its loss eventually causes progressive hypermyelination of small-diameter axons and apparent fragmentation of Remak bun- dles. These data identify the PRC2 complex as an epigenomic modulator of mature myelin thickness, which is associated with changes in Akt phosphorylation. Interestingly, we found that Eed inactivation causes derepression of several genes, e.g., Sonic hedgehog (Shh) and Insulin-like growth factor-binding protein 2 (Igfbp2), that become activated after nerve injury, but without activation of a primary regulator of the injury program, c-Jun.
    [Show full text]
  • Trim24-Regulated Estrogen Response Is Dependent on Specific Histone Modifications in Breast Cancer Cells
    The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 12-2012 TRIM24-REGULATED ESTROGEN RESPONSE IS DEPENDENT ON SPECIFIC HISTONE MODIFICATIONS IN BREAST CANCER CELLS Teresa T. Yiu Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Biochemistry Commons, Cancer Biology Commons, Medicine and Health Sciences Commons, and the Molecular Biology Commons Recommended Citation Yiu, Teresa T., "TRIM24-REGULATED ESTROGEN RESPONSE IS DEPENDENT ON SPECIFIC HISTONE MODIFICATIONS IN BREAST CANCER CELLS" (2012). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 313. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/313 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. TRIM24-REGULATED ESTROGEN RESPONSE IS DEPENDENT ON SPECIFIC HISTONE
    [Show full text]
  • Downloaded from Bioscientifica.Com at 10/03/2021 12:22:59PM Via Free Access
    61 1 Journal of Molecular S Iyer and S K Agarwal Epigenetic regulation in 61:1 R13–R24 Endocrinology endocrine cells REVIEW Epigenetic regulation in the tumorigenesis of MEN1-associated endocrine cell types Sucharitha Iyer and Sunita K Agarwal Metabolic Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, Maryland, USA Correspondence should be addressed to S K Agarwal: [email protected] Abstract Epigenetic regulation is emerging as a key feature in the molecular characteristics of Key Words various human diseases. Epigenetic aberrations can occur from mutations in genes f neuroendocrine associated with epigenetic regulation, improper deposition, removal or reading of f pancreas histone modifications, DNA methylation/demethylation and impaired non-coding f parathyroid RNA interactions in chromatin. Menin, the protein product of the gene causative for f pituitary the multiple endocrine neoplasia type 1 (MEN1) syndrome, interacts with chromatin- associated protein complexes and also regulates some non-coding RNAs, thus participating in epigenetic control mechanisms. Germline inactivating mutations in the MEN1 gene that encodes menin predispose patients to develop endocrine tumors of the parathyroids, anterior pituitary and the duodenopancreatic neuroendocrine tissues. Therefore, functional loss of menin in the various MEN1-associated endocrine cell types can result in epigenetic changes that promote tumorigenesis. Because epigenetic changes are reversible, they can be targeted to develop therapeutics for restoring the tumor epigenome to the normal state. Irrespective of whether epigenetic alterations are the cause or consequence of the tumorigenesis process, targeting the endocrine tumor- associated epigenome offers opportunities for exploring therapeutic options. This review presents epigenetic control mechanisms relevant to the interactions and targets of menin, and the contribution of epigenetics in the tumorigenesis of endocrine cell types Journal of Molecular from menin loss.
    [Show full text]
  • Differential Expression Profile Prioritization of Positional Candidate Glaucoma Genes the GLC1C Locus
    LABORATORY SCIENCES Differential Expression Profile Prioritization of Positional Candidate Glaucoma Genes The GLC1C Locus Frank W. Rozsa, PhD; Kathleen M. Scott, BS; Hemant Pawar, PhD; John R. Samples, MD; Mary K. Wirtz, PhD; Julia E. Richards, PhD Objectives: To develop and apply a model for priori- est because of moderate expression and changes in tization of candidate glaucoma genes. expression. Transcription factor ZBTB38 emerges as an interesting candidate gene because of the overall expres- Methods: This Affymetrix GeneChip (Affymetrix, Santa sion level, differential expression, and function. Clara, Calif) study of gene expression in primary cul- ture human trabecular meshwork cells uses a positional Conclusions: Only1geneintheGLC1C interval fits our differential expression profile model for prioritization of model for differential expression under multiple glau- candidate genes within the GLC1C genetic inclusion in- coma risk conditions. The use of multiple prioritization terval. models resulted in filtering 7 candidate genes of higher interest out of the 41 known genes in the region. Results: Sixteen genes were expressed under all condi- tions within the GLC1C interval. TMEM22 was the only Clinical Relevance: This study identified a small sub- gene within the interval with differential expression in set of genes that are most likely to harbor mutations that the same direction under both conditions tested. Two cause glaucoma linked to GLC1C. genes, ATP1B3 and COPB2, are of interest in the con- text of a protein-misfolding model for candidate selec- tion. SLC25A36, PCCB, and FNDC6 are of lesser inter- Arch Ophthalmol. 2007;125:117-127 IGH PREVALENCE AND PO- identification of additional GLC1C fami- tential for severe out- lies7,18-20 who provide optimal samples for come combine to make screening candidate genes for muta- adult-onset primary tions.7,18,20 The existence of 2 distinct open-angle glaucoma GLC1C haplotypes suggests that muta- (POAG) a significant public health prob- tions will not be limited to rare descen- H1 lem.
    [Show full text]
  • Insulin-Like Growth Factor Receptor Signaling in Tumorigenesis and Drug
    Hua et al. Journal of Hematology & Oncology (2020) 13:64 https://doi.org/10.1186/s13045-020-00904-3 REVIEW Open Access Insulin-like growth factor receptor signaling in tumorigenesis and drug resistance: a challenge for cancer therapy Hui Hua1, Qingbin Kong2, Jie Yin2, Jin Zhang2 and Yangfu Jiang2* Abstract Insulin-like growth factors (IGFs) play important roles in mammalian growth, development, aging, and diseases. Aberrant IGFs signaling may lead to malignant transformation and tumor progression, thus providing the rationale for targeting IGF axis in cancer. However, clinical trials of the type I IGF receptor (IGF-IR)-targeted agents have been largely disappointing. Accumulating evidence demonstrates that the IGF axis not only promotes tumorigenesis, but also confers resistance to standard treatments. Furthermore, there are diverse pathways leading to the resistance to IGF-IR-targeted therapy. Recent studies characterizing the complex IGFs signaling in cancer have raised hope to refine the strategies for targeting the IGF axis. This review highlights the biological activities of IGF-IR signaling in cancer and the contribution of IGF-IR to cytotoxic, endocrine, and molecular targeted therapies resistance. Moreover, we update the diverse mechanisms underlying resistance to IGF-IR-targeted agents and discuss the strategies for future development of the IGF axis-targeted agents. Keywords: Insulin-like growth factor, Cancer, Receptor tyrosine kinase, Tumorigenesis, Drug resistance Introduction macrophages (Fig. 1). Furthermore, the bioavailability of Sustained growth is a typical hallmark of cancer. Growth IGF is regulated by IGF-binding proteins (IGFBPs), factors, such as epidermal growth factor (EGF), trans- which are identified as the serum reservoirs of IGF [1].
    [Show full text]
  • Robles JTO Supplemental Digital Content 1
    Supplementary Materials An Integrated Prognostic Classifier for Stage I Lung Adenocarcinoma based on mRNA, microRNA and DNA Methylation Biomarkers Ana I. Robles1, Eri Arai2, Ewy A. Mathé1, Hirokazu Okayama1, Aaron Schetter1, Derek Brown1, David Petersen3, Elise D. Bowman1, Rintaro Noro1, Judith A. Welsh1, Daniel C. Edelman3, Holly S. Stevenson3, Yonghong Wang3, Naoto Tsuchiya4, Takashi Kohno4, Vidar Skaug5, Steen Mollerup5, Aage Haugen5, Paul S. Meltzer3, Jun Yokota6, Yae Kanai2 and Curtis C. Harris1 Affiliations: 1Laboratory of Human Carcinogenesis, NCI-CCR, National Institutes of Health, Bethesda, MD 20892, USA. 2Division of Molecular Pathology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 3Genetics Branch, NCI-CCR, National Institutes of Health, Bethesda, MD 20892, USA. 4Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 5Department of Chemical and Biological Working Environment, National Institute of Occupational Health, NO-0033 Oslo, Norway. 6Genomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), 08916 Badalona (Barcelona), Spain. List of Supplementary Materials Supplementary Materials and Methods Fig. S1. Hierarchical clustering of based on CpG sites differentially-methylated in Stage I ADC compared to non-tumor adjacent tissues. Fig. S2. Confirmatory pyrosequencing analysis of DNA methylation at the HOXA9 locus in Stage I ADC from a subset of the NCI microarray cohort. 1 Fig. S3. Methylation Beta-values for HOXA9 probe cg26521404 in Stage I ADC samples from Japan. Fig. S4. Kaplan-Meier analysis of HOXA9 promoter methylation in a published cohort of Stage I lung ADC (J Clin Oncol 2013;31(32):4140-7). Fig. S5. Kaplan-Meier analysis of a combined prognostic biomarker in Stage I lung ADC.
    [Show full text]
  • Supplementary Table 1: Selected Gene Products Used in Cdna Based Array 31
    Supplementary Table 1: Selected gene products used in cDNA based array 31. Betacellulin BC011618 analysis 32. 3beta hydroxysteroid dehydrogenase M27137 33. 17beta hydroxy steroid degydrogenase BC020710 Serial Gene name (GenBank accession #) 34. Bone morphogenetic protein 1 M22488 35. Bone morphogenetic protein 2 M22489 1. Actin beta X00351 36. Bone morphogenetic protein 3 M22491 2. Actinin alpha 1 X15804 37. Bone morphogenetic protein 4 D30751 3. Actinin alpha 2 M86406 38. Bone morphogenetic protein 5 M60314 4. Actinin alpha 3 M86407 39. Bone morphogenetic protein 6 M60315 5. Activin A receptor type II-like 1 L17075 40. Bone morphogenetic protein 7 M60316 6. Activin A receptor type IB U14722 41. Bone morphogenetic protein 8 M97016 7. Actvin A receptor type II X77533 42. Bradykinin NM_000623 8. Alpha 1anti-trypsin K01396 43. Bradykinin beta2 receptor M88714 9. Alpha fetoproteinV V51514 44. Bystin L36720 10. Alphav beta3 integrin NM_002210 45. C3 complement AY513239 11. Alpha macroglobulin 1 M163959 46. Cdx 2 U51096 12. Alpha macroglobulin 2 M11313 47. C-fos U62538 13. 5alpha reductase NM_000348 48. C-jun NM_002228 14. 17 alpha hydroxylase AH002665 49. C-myc V00568 15. Aminopeptidase A L12468 50. CA 125 EF026424 16. Aminopeptidase N NM_001935 51. Cadherin P X63629 17. Amphiregulin L41352 52. Calcitonin alpha J00109 18. Androgen receptor M20132 53. Calcitonin beta BC093468 19. Angiopoietin 1 U83508 54. Calcitonin receptor L00587 20. Angiotensin receptor 1 M87290 55. Cardiotrophin 1 U43030 21. Angiopoietin 2 NM_001147 56. Cathepsin B M14221 22. Apolipoprotein E M12529 57. Cathepsin D M11233 23. Apolipoprotein J NM_001831 58. Cathepsin L X12451 24. Arachidonate 5-lipooxygenase J03571 59.
    [Show full text]