Eukaryotic Initiation Factor 4A2 Promotes Experimental Metastasis
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Translational Control in Cancer Etiology
Downloaded from http://cshperspectives.cshlp.org/ on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Translational Control in Cancer Etiology Davide Ruggero Helen Diller Cancer Center, School of Medicine, University of California, San Francisco, California 94158 Correspondence: [email protected] The link between perturbations in translational control and cancer etiology is becoming a primary focus in cancer research. It has now been established that genetic alterations in several components of the translational apparatus underlie spontaneous cancers as well as an entire class of inherited syndromes known as “ribosomopathies” associated with in- creased cancer susceptibility. These discoveries have illuminated the importance of dereg- ulations in translational control to very specific cellular processes that contribute to cancer etiology. In addition, a growing body of evidence supports the view that deregulation of translational control is a common mechanism by which diverse oncogenic pathways promote cellular transformation and tumor development. Indeed, activation of these key oncogenic pathways induces rapid and dramatic translational reprogramming both by in- creasing overall protein synthesis and by modulating specific mRNA networks. These trans- lational changes promote cellular transformation, impacting almost every phase of tumor development. This paradigm represents a new frontier in the multihit model of cancer for- mation and offers significant promise for innovative cancer therapies. Current research, -
Supplementary Table 1. Primer Sequences Used in RT-PCR Analysis
Supplementary Table 1. Primer sequences used in RT-PCR analysis L32 Forward TGAAGCAGGCATCTGAGGG Reverse CGAAGGTGGAAGAG TGGGAG LIFR Forward CTCTCAGGCCAGAGTTGAGC Reverse GCTGTTCAGTCAGCCCTCTC CCR2 Forward TGTCTTCCCTGAATTGAGCC Reverse AAACGCATTAGTGGACAGGG IL12R Forward CGCAATACGTCGTGCGCTGC Reverse CACTCTGACTCCCACGCGCC CSF1R Forward GCTGGTGCGGATTCGAGGGG Reverse TTCGGCGTTAGTGGCCGAGC TGFbR1 Forward ACGCGCTGACATCTATGCAA Reverse CGTCGAGCAATTTCCCAGAA TGFbR2 Forward GCGCATCGCCAGCACGATCC Reverse TGGGCTTCCATTTCCACATCCGA CXCR1 Forward TCCTCCTGCCGCTGCTCACT Reverse CATGCGCAGTGTGAGCCCGT CXCR2 Forward CCTCGTGCCGCTGCTCATCA Reverse GGTGCGCAGTGTGAACCCGT CXCR3 Forward GGTCGCACTGCTCTGCGTGT Reverse GGGGCAGCAGGAAACCAGCC CXCR4 Forward GAGGCGTTTGGTGCTCCGGT Reverse TCGGTTCCATGGCAACACTCGC VEGFR1 (Flt1) Forward CGCGTGAAGAGTGGGTCCT Reverse CACATGCACGGAGGTGTTG VEGFR2 (Flk1) Forward AGCCCAGACTGTGTCCCGCA Reverse GGTGTCCGCGGAATCGGGTC VEGFR3 (Flt4) Forward GCCCGAGGACGAGGGTGACT Reverse CCTGGCTGCGCCTATCCTGC human Flt1 Forward GCACGTCAGCGAAGGCAAGC Reverse CCAGCTCAGCGTGGTCGTAGG Supplementary Table 2. List of putative miR-200 target genes amplified in human cancers amplified in cancers (Tumorscape)a Gene Symbol Title various cancers NSCLC PCT Errfi1 ERBB receptor feedback inhibitor 1 - yes 0.94 D11Bwg0517e DNA segment, Chr 11, Brigham & Women's Genetics 0517 expressed - yes 0.91 Pvrl4 poliovirus receptor-related 4 yes - 0.91 Mecp2 methyl CpG binding protein 2 yes yes 0.9 Jun Jun oncogene yes - 0.88 Prdm16 PR domain containing 16 - yes 0.88 Flt1 FMS-like tyrosine kinase 1 yes -
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. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Knockdown of EIF5A2 Inhibits the Malignant Potential of Non-Small Cell Lung Cancer Cells
ONCOLOGY LETTERS 15: 4541-4549, 2018 Knockdown of EIF5A2 inhibits the malignant potential of non-small cell lung cancer cells CHENG CHEN1*, BOJIA ZHANG2*, SHANSHAN WU3, YONGXIANG SONG1 and JIAN LI1 1Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi, Guizhou 563000; 2Department of Infectious Disease, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072; 3Department of Nursing, Affiliated Hospital of Zunyi Medical College, Zunyi, Guizhou 563000, P.R. China Received March 16, 2016; Accepted February 23, 2017 DOI: 10.3892/ol.2018.7832 Abstract. Eukaryotic translation initiation factor 5A2 through these proteins. EIF5A2 may therefore serve as a novel (EIF5A2) has been demonstrated to be upregulated in therapeutic target for the treatment of NSCLC. numerous types of human cancer and is associated with cancer progression. However, the expression and role of Introduction EIF5A2 in non-small cell lung cancer (NSCLC) remains unclear. In the present study, the role of EIF5A2 in NSCLC Non-small cell lung cancer (NSCLC) accounts for 85% of was investigated, in addition to the underlying molecular pulmonary malignancies (1) and is one of the leading causes of mechanisms by which EIF5A2 acts. Relative EIF5A2 expres- cancer-associated mortality worldwide. Recurrent and meta- sion levels were determined in NSCLC cells and compared static disease is the main cause of mortality, and the 5-year with levels in non-cancerous lung tissues. Short interfering survival rate for lung cancer is 15% (2). Therefore, in order to (si)RNA targeted against EIF5A2 was used to knock down improve the prognosis for patients with NSCLC, it is impor- EIF5A2 levels in NSCLC cells. -
EIF5A2 Controls Ovarian Tumor Growth and Metastasis by Promoting Epithelial to Mesenchymal Transition Via the Title Tgfβ Pathway
EIF5A2 controls ovarian tumor growth and metastasis by promoting epithelial to mesenchymal transition via the Title TGFβ pathway Zhao, Guannan; Zhang, Wenjing; Dong, Peixin; Watari, Hidemichi; Guo, Yuqi; Pfeffer, Lawrence M; Tigyi, Gabor; Author(s) Yue, Junming Cell & Bioscience, 11, 70 Citation https://doi.org/10.1186/s13578-021-00578-5 Issue Date 2021-04-07 Doc URL http://hdl.handle.net/2115/80967 Rights(URL) https://creativecommons.org/licenses/by/4.0/ Type article File Information Yue EIF5A2 paper.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP Zhao et al. Cell Biosci (2021) 11:70 https://doi.org/10.1186/s13578-021-00578-5 Cell & Bioscience RESEARCH Open Access EIF5A2 controls ovarian tumor growth and metastasis by promoting epithelial to mesenchymal transition via the TGFβ pathway Guannan Zhao1,2, Wenjing Zhang3, Peixin Dong4, Hidemichi Watari4, Yuqi Guo5*, Lawrence M. Pfefer1,2, Gabor Tigyi6 and Junming Yue1,2* Abstract Background: Epithelial to mesenchymal transition (EMT) contributes to tumor metastasis and chemoresistance. Eukaryotic initiation factor 5A2 (EIF5A2) is highly expressed in a variety of human cancers but rarely expressed in normal tissues. While EIF5A2 has oncogenic activity in several cancers and contributes to tumor metastasis, its role in ovarian cancer is unknown. In this study, we investigate whether EIF5A2 contributes to ovarian tumor metastasis by promoting EMT. Methods: To investigate the role of EIF5A2, we knocked out (KO) EIF5A2 using lentiviral CRISPR/Cas9 nickase in high invasive SKOV3 and OVCAR8 cells and overexpressed EIF5A2 in low invasive OVCAR3 cells using lentiviral vector. Cell proliferation, migration and invasion was examined in vitro ovarian cancer cells and tumor metastasis was evaluated in vivo using orthotopic ovarian cancer mouse models. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Translational Control in Cancer Etiology
Downloaded from http://cshperspectives.cshlp.org/ on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press Translational Control in Cancer Etiology Davide Ruggero Helen Diller Cancer Center, School of Medicine, University of California, San Francisco, California 94158 Correspondence: [email protected] The link between perturbations in translational control and cancer etiology is becoming a primary focus in cancer research. It has now been established that genetic alterations in several components of the translational apparatus underlie spontaneous cancers as well as an entire class of inherited syndromes known as “ribosomopathies” associated with in- creased cancer susceptibility. These discoveries have illuminated the importance of dereg- ulations in translational control to very specific cellular processes that contribute to cancer etiology. In addition, a growing body of evidence supports the view that deregulation of translational control is a common mechanism by which diverse oncogenic pathways promote cellular transformation and tumor development. Indeed, activation of these key oncogenic pathways induces rapid and dramatic translational reprogramming both by in- creasing overall protein synthesis and by modulating specific mRNA networks. These trans- lational changes promote cellular transformation, impacting almost every phase of tumor development. This paradigm represents a new frontier in the multihit model of cancer for- mation and offers significant promise for innovative cancer therapies. Current research, -
RNA-Seq Transcriptome Reveals Different Molecular Responses
Zhao et al. BMC Genomics (2020) 21:475 https://doi.org/10.1186/s12864-020-06885-4 RESEARCH ARTICLE Open Access RNA-Seq transcriptome reveals different molecular responses during human and mouse oocyte maturation and fertilization Zheng-Hui Zhao1,2, Tie-Gang Meng1,3, Ang Li1, Heide Schatten4, Zhen-Bo Wang1,2* and Qing-Yuan Sun1,3* Abstract Background: Female infertility is a worldwide concern and the etiology of infertility has not been thoroughly demonstrated. Although the mouse is a good model system to perform functional studies, the differences between mouse and human also need to be considered. The objective of this study is to elucidate the different molecular mechanisms underlying oocyte maturation and fertilization between human and mouse. Results: A comparative transcriptome analysis was performed to identify the differentially expressed genes and associated biological processes between human and mouse oocytes. In total, 8513 common genes, as well as 15, 165 and 6126 uniquely expressed genes were detected in human and mouse MII oocytes, respectively. Additionally, the ratios of non-homologous genes in human and mouse MII oocytes were 37 and 8%, respectively. Functional categorization analysis of the human MII non-homologous genes revealed that cAMP-mediated signaling, sister chromatid cohesin, and cell recognition were the major enriched biological processes. Interestingly, we couldn’t detect any GO categories in mouse non-homologous genes. Conclusions: This study demonstrates that human and mouse oocytes exhibit significant differences in gene expression profiles during oocyte maturation, which probably deciphers the differential molecular responses to oocyte maturation and fertilization. The significant differences between human and mouse oocytes limit the generalizations from mouse to human oocyte maturation. -
Proteomics of Stress Responses in Wheat and Barley—Search for Potential Protein Markers of Stress Tolerance
MINI REVIEW ARTICLE published: 11 December 2014 doi: 10.3389/fpls.2014.00711 Proteomics of stress responses in wheat and barley—search for potential protein markers of stress tolerance Klára Kosová*, Pavel Vítámvás and Ilja T. Prášil Laboratory of Plant Stress Biology and Biotechnology, Division of Crop Genetics and Breeding, Department of Plant Genetics, Breeding and Product Quality, Crop Research Institute, Prague, Czech Republic Edited by: Wheat (Triticum aestivum; T. durum) and barley (Hordeum vulgare) agricultural production Jesus V. Jorrin Novo, University of is severely limited by various abiotic and biotic stress factors. Proteins are directly Cordoba, Spain involved in plant stress response so it is important to study proteome changes Reviewed by: under various stress conditions. Generally, both abiotic and biotic stress factors induce Martin Hajduch, Slovak Academy of Sciences, Slovakia profound alterations in protein network covering signaling, energy metabolism (glycolysis, Jesus V. Jorrin Novo, University of Krebs cycle, ATP biosynthesis, photosynthesis), storage proteins, protein metabolism, Cordoba, Spain several other biosynthetic pathways (e.g., S-adenosylmethionine metabolism, lignin Arkadiusz Kosmala, Institute of Plant metabolism), transport proteins, proteins involved in protein folding and chaperone Genetics of the Polish Academy of Sciences, Poland activities, other protective proteins (LEA, PR proteins), ROS scavenging enzymes as *Correspondence: well as proteins affecting regulation of plant growth and development. Proteins which Klára Kosová, Laboratory of Plant have been reported to reveal significant differences in their relative abundance or Stress Biology and Biotechnology, posttranslational modifications between wheat, barley or related species genotypes under Division of Crop Genetics and stress conditions are listed and their potential role in underlying the differential stress Breeding, Crop Research Institute, Drnovská 507, Prague 6 – Ruzyne,ˇ response is discussed. -
A Master Autoantigen-Ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. 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 4.0 International license. A Master Autoantigen-ome Links Alternative Splicing, Female Predilection, and COVID-19 to Autoimmune Diseases Julia Y. Wang1*, Michael W. Roehrl1, Victor B. Roehrl1, and Michael H. Roehrl2* 1 Curandis, New York, USA 2 Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA * Correspondence: [email protected] or [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.30.454526; this version posted August 4, 2021. 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 4.0 International license. Abstract Chronic and debilitating autoimmune sequelae pose a grave concern for the post-COVID-19 pandemic era. Based on our discovery that the glycosaminoglycan dermatan sulfate (DS) displays peculiar affinity to apoptotic cells and autoantigens (autoAgs) and that DS-autoAg complexes cooperatively stimulate autoreactive B1 cell responses, we compiled a database of 751 candidate autoAgs from six human cell types. At least 657 of these have been found to be affected by SARS-CoV-2 infection based on currently available multi-omic COVID data, and at least 400 are confirmed targets of autoantibodies in a wide array of autoimmune diseases and cancer. -
1 1 2 Pharmacological Dimerization and Activation of the Exchange
1 2 3 Pharmacological dimerization and activation of the exchange factor eIF2B antagonizes the 4 integrated stress response 5 6 7 *Carmela Sidrauski1,2, *Jordan C. Tsai1,2, Martin Kampmann2,3, Brian R. Hearn4, Punitha 8 Vedantham4, Priyadarshini Jaishankar4 , Masaaki Sokabe5, Aaron S. Mendez1,2, Billy W. 9 Newton6, Edward L. Tang6.7, Erik Verschueren6, Jeffrey R. Johnson6,7, Nevan J. Krogan6,7,, 10 Christopher S. Fraser5, Jonathan S. Weissman2,3, Adam R. Renslo4, and Peter Walter 1,2 11 12 1Department of Biochemistry and Biophysics, University of California, San Francisco, United 13 States 14 2Howard Hughes Medical Institute, University of California, San Francisco, United States 15 3Department of Cellular and Molecular Pharmacology, University of California, San Francisco, 16 United States 17 4Department of Pharmaceutical Chemistry and the Small Molecule Discovery Center, University 18 of California at San Francisco, United States 19 5Department of Molecular and Cellular Biology, College of Biological Sciences, University of 20 California, Davis, United States 21 6QB3, California Institute for Quantitative Biosciences, University of California, San Francisco, 22 United States 23 7Gladstone Institutes, San Francisco, United States 24 25 * Both authors contributed equally to this work 26 27 28 Abstract 29 30 The general translation initiation factor eIF2 is a major translational control point. Multiple 31 signaling pathways in the integrated stress response phosphorylate eIF2 serine-51, inhibiting 32 nucleotide exchange by eIF2B. ISRIB, a potent drug-like small molecule, renders cells 33 insensitive to eIF2α phosphorylation and enhances cognitive function in rodents by blocking 34 long-term depression. ISRIB was identified in a phenotypic cell-based screen, and its mechanism 35 of action remained unknown.