Hoxa10 and Hoxd10 Coordinately Regulate Lumbar Motor Neuron Patterning
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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. -
1 Single-Cell Mrna Profiling Reveals Heterogeneous Combinatorial Expression of Hoxd Genes During Limb Development Short Title
bioRxiv preprint doi: https://doi.org/10.1101/327619; this version posted May 22, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Single-cell mRNA profiling reveals heterogeneous combinatorial expression of Hoxd genes during limb development Short title: Single-cell Hox combinations in developing limbs Authors : P. J. Fabre1,4,*, M. Leleu1, B. Mascrez2, Q. Lo Giudice4, J. Cobb3 and D. Duboule1,2,* Affiliations: 1School of Life Sciences, Ecole Polytechnique Fédérale, Lausanne, 1015 Lausanne, Switzerland. 2Department of Genetics and Evolution, University of Geneva, 1211 Geneva 4, Switzerland. 3Department of Biological Sciences, University of Calgary, Calgary, Canada. 4Department of Basic Neurosciences, University of Geneva, 1205 Geneva, Switzerland. KEYWORDS: Hox genes, digits, limb, development, enhancers, single-cell, transcriptome, differentiation, gene expression. *Corresponding authors: Pierre Fabre ([email protected]) and Denis Duboule ([email protected]) HIGHLIGHTS • Collinear expression of Hox genes is only weaved at the tissue scale • Enhancer-sharing to specific target genes is reduced at the single-cell level • Hoxd gene combinatorial expression is linked to distinct transcriptional signatures • In presumptive digits, Hoxd combinations follow a pseudotime trajectory 1 bioRxiv preprint doi: https://doi.org/10.1101/327619; this version posted May 22, 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. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K
www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1. -
SUPPLEMENTARY MATERIAL Bone Morphogenetic Protein 4 Promotes
www.intjdevbiol.com doi: 10.1387/ijdb.160040mk SUPPLEMENTARY MATERIAL corresponding to: Bone morphogenetic protein 4 promotes craniofacial neural crest induction from human pluripotent stem cells SUMIYO MIMURA, MIKA SUGA, KAORI OKADA, MASAKI KINEHARA, HIROKI NIKAWA and MIHO K. FURUE* *Address correspondence to: Miho Kusuda Furue. Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka 567-0085, Japan. Tel: 81-72-641-9819. Fax: 81-72-641-9812. E-mail: [email protected] Full text for this paper is available at: http://dx.doi.org/10.1387/ijdb.160040mk TABLE S1 PRIMER LIST FOR QRT-PCR Gene forward reverse AP2α AATTTCTCAACCGACAACATT ATCTGTTTTGTAGCCAGGAGC CDX2 CTGGAGCTGGAGAAGGAGTTTC ATTTTAACCTGCCTCTCAGAGAGC DLX1 AGTTTGCAGTTGCAGGCTTT CCCTGCTTCATCAGCTTCTT FOXD3 CAGCGGTTCGGCGGGAGG TGAGTGAGAGGTTGTGGCGGATG GAPDH CAAAGTTGTCATGGATGACC CCATGGAGAAGGCTGGGG MSX1 GGATCAGACTTCGGAGAGTGAACT GCCTTCCCTTTAACCCTCACA NANOG TGAACCTCAGCTACAAACAG TGGTGGTAGGAAGAGTAAAG OCT4 GACAGGGGGAGGGGAGGAGCTAGG CTTCCCTCCAACCAGTTGCCCCAAA PAX3 TTGCAATGGCCTCTCAC AGGGGAGAGCGCGTAATC PAX6 GTCCATCTTTGCTTGGGAAA TAGCCAGGTTGCGAAGAACT p75 TCATCCCTGTCTATTGCTCCA TGTTCTGCTTGCAGCTGTTC SOX9 AATGGAGCAGCGAAATCAAC CAGAGAGATTTAGCACACTGATC SOX10 GACCAGTACCCGCACCTG CGCTTGTCACTTTCGTTCAG Suppl. Fig. S1. Comparison of the gene expression profiles of the ES cells and the cells induced by NC and NC-B condition. Scatter plots compares the normalized expression of every gene on the array (refer to Table S3). The central line -
Methylome and Transcriptome Maps of Human Visceral and Subcutaneous
www.nature.com/scientificreports OPEN Methylome and transcriptome maps of human visceral and subcutaneous adipocytes reveal Received: 9 April 2019 Accepted: 11 June 2019 key epigenetic diferences at Published: xx xx xxxx developmental genes Stephen T. Bradford1,2,3, Shalima S. Nair1,3, Aaron L. Statham1, Susan J. van Dijk2, Timothy J. Peters 1,3,4, Firoz Anwar 2, Hugh J. French 1, Julius Z. H. von Martels1, Brodie Sutclife2, Madhavi P. Maddugoda1, Michelle Peranec1, Hilal Varinli1,2,5, Rosanna Arnoldy1, Michael Buckley1,4, Jason P. Ross2, Elena Zotenko1,3, Jenny Z. Song1, Clare Stirzaker1,3, Denis C. Bauer2, Wenjia Qu1, Michael M. Swarbrick6, Helen L. Lutgers1,7, Reginald V. Lord8, Katherine Samaras9,10, Peter L. Molloy 2 & Susan J. Clark 1,3 Adipocytes support key metabolic and endocrine functions of adipose tissue. Lipid is stored in two major classes of depots, namely visceral adipose (VA) and subcutaneous adipose (SA) depots. Increased visceral adiposity is associated with adverse health outcomes, whereas the impact of SA tissue is relatively metabolically benign. The precise molecular features associated with the functional diferences between the adipose depots are still not well understood. Here, we characterised transcriptomes and methylomes of isolated adipocytes from matched SA and VA tissues of individuals with normal BMI to identify epigenetic diferences and their contribution to cell type and depot-specifc function. We found that DNA methylomes were notably distinct between diferent adipocyte depots and were associated with diferential gene expression within pathways fundamental to adipocyte function. Most striking diferential methylation was found at transcription factor and developmental genes. Our fndings highlight the importance of developmental origins in the function of diferent fat depots. -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
THE ROLE of HOXD10 in the DEVELOPMENT of MOTONEURONS in the POSTERIOR SPINAL CORD by Veeral Shailesh Shah B.S., University of Pi
THE ROLE OF HOXD10 IN THE DEVELOPMENT OF MOTONEURONS IN THE POSTERIOR SPINAL CORD by Veeral Shailesh Shah B.S., University of Pittsburgh, 2000 Submitted to the Graduate Faculty of University of Pittsburgh School of Medicine Department of Neurobiology in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2006 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE DEPARTMENT OF NEUROBIOLOGY This thesis was presented by Veeral Shailesh Shah It was defended on January 17, 2006 and approved by Paula Monaghan-Nichols, Ph. D, CNUP, Neurobiology Debbie Chapman, Ph. D, Biological Sciences Willi Halfter, Ph. D, CNUP, Neurobiology Carl Lagenaur, Ph. D, CNUP, Neurobiology Cynthia Forehand, Ph. D, University of Vermont, Anatomy and Neurobiology Dissertation Advisor: Cynthia Lance-Jones, Ph. D, CNUP, Neurobiology ii Copyright © by Veeral Shailesh Shah 2007 iii THE ROLE OF HOXD10 IN THE DEVELOPMENT OF MOTONEURONS IN THE POSTERIOR SPINAL CORD Veeral Shah University of Pittsburgh, 2007 Hox genes encode anterior-posterior identity during central nervous system development. Few studies have examined Hox gene function at lumbosacral (LS) levels of the spinal cord, where there is extensive information on normal development. Hoxd10 is expressed at high levels in the embryonic LS spinal cord, but not the thoracic (T) spinal cord. To test the hypothesis that restricted expression of Hoxd10 contributes to the attainment of an LS identity, and specifically an LS motoneuron identity, Hoxd10 was ectopically expressed in T segments in chick embryos via in ovo electroporation. Electroporations were carried out at early neural tube stages (stages 13-15) and at the onset of motoneuron differentiation (stages 17-18). -
The NANOG Transcription Factor Induces Type 2 Deiodinase Expression and Regulates the Intracellular Activation of Thyroid Hormone in Keratinocyte Carcinomas
Cancers 2020, 12 S1 of S18 Supplementary Materials: The NANOG Transcription Factor Induces Type 2 Deiodinase Expression and Regulates the Intracellular Activation of Thyroid Hormone in Keratinocyte Carcinomas Annarita Nappi, Emery Di Cicco, Caterina Miro, Annunziata Gaetana Cicatiello, Serena Sagliocchi, Giuseppina Mancino, Raffaele Ambrosio, Cristina Luongo, Daniela Di Girolamo, Maria Angela De Stefano, Tommaso Porcelli, Mariano Stornaiuolo and Monica Dentice Figure S1. Strategy for the mutagenesis of Dio2 promoter. (A) Schematic representation of NANOG Binding Site within the Dio2 promoter region. (B) Schematic diagram for site‐directed mutagenesis of NANOG Binding Site on Dio2 promoter region by Recombinant PCR. (C) Representation of the mutated NANOG Binding Site on Dio2 promoter region. (D) Electropherogram of the NANOG Binding Site mutation within the Dio2 promoter. Cancers 2020, 12 S2 of S18 Figure S2. Strategy for the silencing of NANOG expression. (A) Cloning strategies for the generation of NANOG shRNA expression vectors. (B) Electropherograms of the NANOG shRNA sequences cloned into pcDNA3.1 vector. (C) Validation of effective NANOG down-modulation by two different NANOG shRNA vectors was assessed by Western Blot analysis of NANOG expression in BCC cells. (D) Quantification of NANOG protein levels versus Tubulin levels in the same experiment as in C is represented by histograms. Cancers 2020, 12 S3 of S18 Figure S3. The CD34+ cells are characterized by the expression of typical epithelial stemness genes. The mRNA levels of a panel of indicated stemness markers of epidermis were measured by Real Time PCR in the same experiment indicated in figure 3F and G. Cancers 2020, 12 S4 of S18 Figure S4. -
Role of HOX Genes in Stem Cell Differentiation and Cancer
Thomas Jefferson University Jefferson Digital Commons Kimmel Cancer Center Papers, Presentations, and Grand Rounds Kimmel Cancer Center 7-22-2018 Role of HOX Genes in Stem Cell Differentiation and Cancer. Seema Bhatlekar Helen F. Graham Cancer Center and Research Institute; University of Delaware Jeremy Z Fields CATX Inc. Bruce M. Boman Thomas Jefferson University; Helen F. Graham Cancer Center and Research Institute; University of Delaware; CATX Inc. Follow this and additional works at: https://jdc.jefferson.edu/kimmelgrandrounds Part of the Oncology Commons Let us know how access to this document benefits ouy Recommended Citation Bhatlekar, Seema; Fields, Jeremy Z; and Boman, Bruce M., "Role of HOX Genes in Stem Cell Differentiation and Cancer." (2018). Kimmel Cancer Center Papers, Presentations, and Grand Rounds. Paper 62. https://jdc.jefferson.edu/kimmelgrandrounds/62 This Article is brought to you for free and open access by the Jefferson Digital Commons. The Jefferson Digital Commons is a service of Thomas Jefferson University's Center for Teaching and Learning (CTL). The Commons is a showcase for Jefferson books and journals, peer-reviewed scholarly publications, unique historical collections from the University archives, and teaching tools. The Jefferson Digital Commons allows researchers and interested readers anywhere in the world to learn about and keep up to date with Jefferson scholarship. This article has been accepted for inclusion in Kimmel Cancer Center Papers, Presentations, and Grand Rounds by an authorized administrator of the Jefferson Digital Commons. For more information, please contact: [email protected]. Hindawi Stem Cells International Volume 2018, Article ID 3569493, 15 pages https://doi.org/10.1155/2018/3569493 Review Article Role of HOX Genes in Stem Cell Differentiation and Cancer 1,2 3 1,2,3,4 Seema Bhatlekar , Jeremy Z. -
Projeto De Tese De Doutorado
2 3 Agradecimentos Todo este trabalho não teria sido realizado se não fosse pelo apoio e credibilidade de pessoas importantes que fazem parte da minha vida, com as quais eu pude contar incondicionalmente. Agradeço ao Professor Hernandes F. Carvalho, por me orientar desde meu treinamento técnico, por acreditar na minha capacidade profissional, aceitando-me como sua aluna no Mestrado em Biologia Celular e por sempre ter me dado todo apoio intelectual e estrutural para prosseguir neste caminho. A todos os integrantes do Laboratório de Matriz Extracelular: Adauto, Augusto, Fabiana, Fiama, Guilherme, Gustavo, Juliete, Renan, Rony, Sílvia, Umar, por sempre dividirem comigo conhecimentos teóricos e práticos, felicidades e angústias. Em especial ao ex e aos ainda integrantes do laboratório: Alexandre, por ter me ensinado muitas das coisas que hoje sei e me aceitado como colaboradora em seus trabalhos; à Ana Milena pela dedicação e colaboração essencial na escrita dos manuscritos; ao Danilo, pela paciência e ajuda integral nos tratamentos dos animais; à Taize, pela permanente disposição em ajudar nos experimentos e acolhimento desde a minha chegada à UNICAMP. Ao Ramon Vidal Oliveira, do LNBio pela assistência e realização da análise de bioinformática dos dados obtidos na técnica de microarray. À Maria Eugênia Ribeiro Camargo, pela disponibilidade e auxílio na utilização do Laboratório de Microarray (LNBio). À Professora Maria Julia Marques, por ter nos cedido seu equipamento para a revelação das memebranas de Western Blotting. Em especial às suas alunas Samara, Cíntia, Ana Paula, Letícia, Adriane, Adriele pela disposição e ajuda sempre que precisei. 4 À Professora Heide Dolder, por ter seu laboratório de portas abertas para utilização dos micrótomos. -
WO 2015/048577 A2 April 2015 (02.04.2015) W P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2015/048577 A2 April 2015 (02.04.2015) W P O P C T (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every A61K 48/00 (2006.01) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, (21) International Application Number: BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, PCT/US20 14/057905 DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (22) International Filing Date: HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, 26 September 2014 (26.09.2014) KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, (25) Filing Language: English PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, (26) Publication Language: English SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (30) Priority Data: 61/883,925 27 September 2013 (27.09.2013) US (84) Designated States (unless otherwise indicated, for every 61/898,043 31 October 2013 (3 1. 10.2013) US kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, (71) Applicant: EDITAS MEDICINE, INC.