Table S1 Ray-Finned Fish Genes of the Non-Genomic and Genomic Androgen Receptor Signaling Pathway According to Netpath, GO0030521, Bennett Et Al
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Mechanical Forces Induce an Asthma Gene Signature in Healthy Airway Epithelial Cells Ayşe Kılıç1,10, Asher Ameli1,2,10, Jin-Ah Park3,10, Alvin T
www.nature.com/scientificreports OPEN Mechanical forces induce an asthma gene signature in healthy airway epithelial cells Ayşe Kılıç1,10, Asher Ameli1,2,10, Jin-Ah Park3,10, Alvin T. Kho4, Kelan Tantisira1, Marc Santolini 1,5, Feixiong Cheng6,7,8, Jennifer A. Mitchel3, Maureen McGill3, Michael J. O’Sullivan3, Margherita De Marzio1,3, Amitabh Sharma1, Scott H. Randell9, Jefrey M. Drazen3, Jefrey J. Fredberg3 & Scott T. Weiss1,3* Bronchospasm compresses the bronchial epithelium, and this compressive stress has been implicated in asthma pathogenesis. However, the molecular mechanisms by which this compressive stress alters pathways relevant to disease are not well understood. Using air-liquid interface cultures of primary human bronchial epithelial cells derived from non-asthmatic donors and asthmatic donors, we applied a compressive stress and then used a network approach to map resulting changes in the molecular interactome. In cells from non-asthmatic donors, compression by itself was sufcient to induce infammatory, late repair, and fbrotic pathways. Remarkably, this molecular profle of non-asthmatic cells after compression recapitulated the profle of asthmatic cells before compression. Together, these results show that even in the absence of any infammatory stimulus, mechanical compression alone is sufcient to induce an asthma-like molecular signature. Bronchial epithelial cells (BECs) form a physical barrier that protects pulmonary airways from inhaled irritants and invading pathogens1,2. Moreover, environmental stimuli such as allergens, pollutants and viruses can induce constriction of the airways3 and thereby expose the bronchial epithelium to compressive mechanical stress. In BECs, this compressive stress induces structural, biophysical, as well as molecular changes4,5, that interact with nearby mesenchyme6 to cause epithelial layer unjamming1, shedding of soluble factors, production of matrix proteins, and activation matrix modifying enzymes, which then act to coordinate infammatory and remodeling processes4,7–10. -
Tamoxifen Erythroid Toxicity Revealed by Studying the Role of Nuclear
COMMENT as in Santana-Codina et al.1 Briefly, 12-week old Sv129/J Tamoxifen erythroid toxicity revealed by studying Ncoa4-ko and wild-type littermates received 200 mg/kg the role of nuclear receptor co-activator 4 in tamoxifen via oral gavage daily for five consecutive days erythropoiesis (day 0-4) and complete blood count was obtained at days 0, 4, 11 and 21. We chose mice on Sv129/J background We read with great interest the paper recently pub- that, unlike C57BL/6 Ncoa4-ko animals,4 do not show lished by Santana-Codina et al.1 about the cell anemia or alterations of iron parameters but only mild autonomous and non-autonomous role of nuclear recep- microcytosis (Figure 1 and Nai et al., 2019, manuscript in tor co-activator 4 (NCOA4). NCOA4 is a cargo receptor preparation). At day 4, only Ncoa4-ko mice showed a sta- that, in conditions of iron deficiency, promotes fer- tistically significant decrease in red blood cell (RBC) ritinophagy to release iron from ferritin.2,3 Inactivation of count, and hematocrit (Hct) and hemoglobin (Hb) levels. Ncoa4 in C57BL/6 mice causes mild microcytic anemia and increases the susceptibility to iron-deficiency anemia At day 11, also wild-type mice showed a reduction in due to iron being trapped in ferritin in several organs.3,4 To RBC count and decreased Hb and Hct, although for the formally prove the role of Ncoa4 inactivation on erythro- latter two parameters levels were higher than those of poiesis, a tamoxifen-inducible CRE-dependent Ncoa4-ko mice. -
UNIVERSITY of CALIFORNIA Los Angeles
UNIVERSITY OF CALIFORNIA Los Angeles Dissecting transcriptional control by Klf4 in somatic cell reprogramming A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biological Chemistry by Huajun Zhou 2017 ABSTRACT OF THE DISSERTATION Dissecting transcriptional control by Klf4 in somatic cell reprogramming by Huajun Zhou Doctor of Philosophy in Biological Chemistry University of California, Los Angeles, 2017 Professor Gregory S. Payne, Chair Ectopic expression of four transcription factors, Oct4, Sox2, Klf4, and c-Myc, coverts somatic cells directly into induced pluripotent stem cells (iPSCs), which are functionally equivalent to embryonic stem cells (ESCs). The discovery of iPSC has been reshaping the methodology of disease modeling and drug screening in the past decade, and provides tremendous promise for regenerative medicine. However, the mechanism underlying this conversion process, reprogramming, is not yet fully understood. I aimed to dissect the reprogramming process, by characterizing the functional domains of one reprogramming factor Klf4. The transcriptional activation domain (TAD) of Klf4 was revealed to be critical for reprogramming. To search for the factors that mediates the functionality of Klf4 TAD, I identified transcriptional coactivators CBP/p300 and Mediator complex as the physical interaction partners of Klf4 TAD, and further showed that this interaction is functionally required ii for Klf4 mediated transcriptional activation in reprograming. Clathrin heavy chain, initially identified as a physical interaction partner of Klf4 TAD, was shown to be not required for Klf4 transcriptional activation. Clathrin heavy chain was furthered characterized for its potential transcriptional activation activity in CHC-TFE3, a chromosomal fusion discovered in renal cell carcinoma. -
NCOA4 Maintains Murine Erythropoiesis Via Cell Autonomous and Non-Autonomous Mechanisms
Red Cell Biology & its Disorders SUPPLEMENTARY APPENDIX NCOA4 maintains murine erythropoiesis via cell autonomous and non-autonomous mechanisms Naiara Santana-Codina,1,* Sebastian Gableske,1,* Maria Quiles del Rey,1 Beata Małachowska,2,3 Mark P. Jedrychowski,1,4 Douglas E. Biancur,1 Paul J. Schmidt,5 Mark D. Fleming,5 Wojciech Fendler,1,2 J. Wade Harper,4,# Alec C. Kimmelman6,# and Joseph D. Mancias1 1Division of Genomic Stability and DNA Repair, Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; 2De- partment of Biostatistics and Translational Medicine, Medical University of Lodz, Poland; 3Postgraduate School of Molecular Medicine, Medical University of Warsaw, Poland; 4Department of Cell Biology, Harvard Medical School, Boston, MA, USA; 5Department of Pathology, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA and 6Department of Radiation Oncology, Perlmutter Cancer Center, New York University School of Medicine, New York, NY, USA * These authors contributed equally to this work ©2019 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2018.204123 Received: August 10, 2018. Accepted: January 9, 2019. Pre-published: January 10, 2019. Correspondence: JOSEPH D. MANCIAS - [email protected] SUPPLEMENTARY INFORMATION SUPPLEMENTAL EXPERIMENTAL PROCEDURES Cell culture. Cells were cultured in a humidified incubator at 37°C and 5% carbon dioxide (CO2). HEK-293T and K562 cell lines were obtained from the American Type Culture Collection (ATCC, Manassas, Virginia) and tested for mycoplasma contamination by PCR. Cells were grown in DMEM (HEK-293T, Life Technologies, 11965) or IMDM (K562, Thermo Fisher 12440053) with 10% FBS and 1% Pen/Strep (Life Technologies 15140). -
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). -
RET/PTC Activation in Papillary Thyroid Carcinoma
European Journal of Endocrinology (2006) 155 645–653 ISSN 0804-4643 INVITED REVIEW RET/PTC activation in papillary thyroid carcinoma: European Journal of Endocrinology Prize Lecture Massimo Santoro1, Rosa Marina Melillo1 and Alfredo Fusco1,2 1Istituto di Endocrinologia ed Oncologia Sperimentale del CNR ‘G. Salvatore’, c/o Dipartimento di Biologia e Patologia Cellulare e Molecolare, University ‘Federico II’, Via S. Pansini, 5, 80131 Naples, Italy and 2NOGEC (Naples Oncogenomic Center)–CEINGE, Biotecnologie Avanzate & SEMM, European School of Molecular Medicine, Naples, Italy (Correspondence should be addressed to M Santoro; Email: [email protected]) Abstract Papillary thyroid carcinoma (PTC) is frequently associated with RET gene rearrangements that generate the so-called RET/PTC oncogenes. In this review, we examine the data about the mechanisms of thyroid cell transformation, activation of downstream signal transduction pathways and modulation of gene expression induced by RET/PTC. These findings have advanced our understanding of the processes underlying PTC formation and provide the basis for novel therapeutic approaches to this disease. European Journal of Endocrinology 155 645–653 RET/PTC rearrangements in papillary growth factor, have been described in a fraction of PTC thyroid carcinoma patients (7). As illustrated in figure 1, many different genes have been found to be rearranged with RET in The rearranged during tansfection (RET) proto-onco- individual PTC patients. RET/PTC1 and 3 account for gene, located on chromosome 10q11.2, was isolated in more than 90% of all rearrangements and are hence, by 1985 and shown to be activated by a DNA rearrange- far, the most frequent variants (8–11). They result from ment (rearranged during transfection) (1).As the fusion of RET to the coiled-coil domain containing illustrated in Fig. -
Orally Bioavailable Androgen Receptor Degrader, Potential Next
Published OnlineFirst September 3, 2019; DOI: 10.1158/1078-0432.CCR-19-1458 Translational Cancer Mechanisms and Therapy Clinical Cancer Research Orally Bioavailable Androgen Receptor Degrader, Potential Next-Generation Therapeutic for Enzalutamide-Resistant Prostate Cancer Suriyan Ponnusamy1, Yali He2, Dong-Jin Hwang2, Thirumagal Thiyagarajan1, Rene Houtman3,Vera Bocharova4, Bobby G. Sumpter4, Elias Fernandez5, Daniel Johnson6, Ziyun Du7, Lawrence M. Pfeffer7, Robert H. Getzenberg8, Iain J. McEwan9, Duane D. Miller2, and Ramesh Narayanan1,10 Abstract Purpose: Androgen receptor (AR)-targeting prostate Results: UT-34 inhibits the wild-type and LBD-mutant cancer drugs, which are predominantly competitive ARs comparably and inhibits the in vitro proliferation and ligand-binding domain (LBD)-binding antagonists, are in vivo growth of enzalutamide-sensitive and -resistant pros- inactivated by common resistance mechanisms. It is tate cancer xenografts. In preclinical models, UT-34 induced important to develop next-generation mechanistically theregressionofenzalutamide-resistanttumorsatdoses distinct drugs to treat castration- and drug-resistant pros- when the AR is degraded; but, at lower doses, when the AR tate cancers. is just antagonized, it inhibits, without shrinking, the Experimental Design: Second-generation AR pan antag- tumors. This indicates that degradation might be a prereq- onist UT-34 was selected from a library of compounds uisite for tumor regression. Mechanistically, UT-34 promotes and tested in competitive AR binding and transactivation -
Genetic Variant in 3' Untranslated Region of the Mouse Pycard Gene
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.26.437184; this version posted March 26, 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. 1 2 3 Title: 4 Genetic Variant in 3’ Untranslated Region of the Mouse Pycard Gene Regulates Inflammasome 5 Activity 6 Running Title: 7 3’UTR SNP in Pycard regulates inflammasome activity 8 Authors: 9 Brian Ritchey1*, Qimin Hai1*, Juying Han1, John Barnard2, Jonathan D. Smith1,3 10 1Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, 11 Cleveland, OH 44195 12 2Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 13 44195 14 3Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western 15 Reserve University, Cleveland, OH 44195 16 *, These authors contributed equally to this study. 17 Address correspondence to Jonathan D. Smith: email [email protected]; ORCID ID 0000-0002-0415-386X; 18 mailing address: Cleveland Clinic, Box NC-10, 9500 Euclid Avenue, Cleveland, OH 44195, USA. 19 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.26.437184; this version posted March 26, 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. 20 Abstract 21 Quantitative trait locus mapping for interleukin-1 release after inflammasome priming and activation 22 was performed on bone marrow-derived macrophages (BMDM) from an AKRxDBA/2 strain intercross. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
RET Gene Fusions in Malignancies of the Thyroid and Other Tissues
G C A T T A C G G C A T genes Review RET Gene Fusions in Malignancies of the Thyroid and Other Tissues Massimo Santoro 1,*, Marialuisa Moccia 1, Giorgia Federico 1 and Francesca Carlomagno 1,2 1 Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy; [email protected] (M.M.); [email protected] (G.F.); [email protected] (F.C.) 2 Institute of Endocrinology and Experimental Oncology of the CNR, 80131 Naples, Italy * Correspondence: [email protected] Received: 10 March 2020; Accepted: 12 April 2020; Published: 15 April 2020 Abstract: Following the identification of the BCR-ABL1 (Breakpoint Cluster Region-ABelson murine Leukemia) fusion in chronic myelogenous leukemia, gene fusions generating chimeric oncoproteins have been recognized as common genomic structural variations in human malignancies. This is, in particular, a frequent mechanism in the oncogenic conversion of protein kinases. Gene fusion was the first mechanism identified for the oncogenic activation of the receptor tyrosine kinase RET (REarranged during Transfection), initially discovered in papillary thyroid carcinoma (PTC). More recently, the advent of highly sensitive massive parallel (next generation sequencing, NGS) sequencing of tumor DNA or cell-free (cfDNA) circulating tumor DNA, allowed for the detection of RET fusions in many other solid and hematopoietic malignancies. This review summarizes the role of RET fusions in the pathogenesis of human cancer. Keywords: kinase; tyrosine kinase inhibitor; targeted therapy; thyroid cancer 1. The RET Receptor RET (REarranged during Transfection) was initially isolated as a rearranged oncoprotein upon the transfection of a human lymphoma DNA [1]. -
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