Dissecting Bmi1 Protein-Protein Interactions Through Chemical Biology

Total Page:16

File Type:pdf, Size:1020Kb

Load more

DISSECTING BMI1 PROTEIN-PROTEIN INTERACTIONS THROUGH CHEMICAL BIOLOGY by Felicia Gray A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Chemical Biology) in the University of Michigan 2015 Doctoral Committee: Assistant Professor Tomasz Cierpicki, Co-Chair Assistant Professor Jolanta E. Grembecka, Co-Chair Associate Professor Elizabeth Lawlor Professor Anna K. Mapp Associate Professor Raymond C. Trievel © Felicia Gray All rights reserved, 2015 Dedication For Dorothy Kithinji ii Acknowledgements I first need to acknowledge Dr. Tomasz Cierpicki and Dr. Jolanta Grembecka for their mentorship, patience and support over these past four years. I am grateful for their unending enthusiasm for science and for providing a lab environment in which I could be successful. I thank my committee members, Dr. Anna Mapp, Dr. Ray Trievel and Dr. Beth Lawlor for providing support and guidance throughout this process. I have always looked forward to my committee meetings and appreciate their time and insight. I would like to thank the members of the Cierpicki and Grembecka labs, past and present, for creating a collegial and engaging environment in which to learn and work. I have enjoyed working with Shihan, Bhavna, Hyoje, Shirish, Weijiang and Qingjie in tackling interdisciplinary problems. I am especially grateful for Dmitry, Dave, George and Jon for proving both scientific support and opportunities to relax outside of lab. I thank many friends in the Chemical Biology program: Alison, Hong, Matt W., Matt P., JP, Carol Ann, Elin, Beth, Chinmay and Carrie. I especially thank Ningkun for guiding me as a naïve rotation student and still being my friend afterwards! My graduate experience would not have been the same without the friendship of Paul and Victoria, essentially from the beginning, and I appreciate learning from their personal and scientific insights many, many times over the course of this processes. iii I am grateful to have worked with the wonderful women in FEMMES for four years as we have worked towards our shared ambition to increase diversity in STEM fields and to just plain excite young girls about science. This was a very meaningful group for me to have been a part of and I am continuously inspired and enlightened by the spirit of the group. I am excited to see where the program goes with the next generation. I am thankful to Noah who has tremendous patience and who challenges me to be my best person. I thank him especially for reading this thesis and providing his critical insight. And finally, I am forever grateful to my family for providing a solid foundation to follow my passion and supporting my every move in my less-than-linear path to this point. I would not be where I am without Bev’s unending faith in me and her insistence that I live up to it! Molly inspires me every day and I am so honored to be her big sister. I thank my Dad and Bebe for their love, enthusiastic interest in my work and for providing me a second home in the Midwest. My mother never gives herself enough credit and I’m sure I cannot do it here but it is through her eternal support and wise council that she has set me up for success and her regular notes of encouragement provided confidence and inspiration. iv Table of Contents Dedication ...................................................................................................................................... ii Acknowledgements ...................................................................................................................... iii List of Figures ............................................................................................................................... ix List of Tables ................................................................................................................................ xi List of Equations ......................................................................................................................... xii List of Abbreviations ................................................................................................................. xiii Abstract ........................................................................................................................................ xv Chapter 1: Introduction ............................................................................................................... 1 A. Motivation .............................................................................................................................. 1 B. Transcriptional regulation through chromatin modification ........................................... 2 C. Polycomb proteins negatively regulate gene transcription ................................................ 3 C.1. Canonical polycomb gene silencing mechanisms ....................................................... 3 C.2. Non-canonical polycomb gene silencing mechanisms ................................................ 5 C.3. Architecture of the canonical PRC1 complex ............................................................. 5 D. Polycomb function in biology ............................................................................................... 7 D.1. Phenotypes of polycomb deletion suggest complex functional roles .......................... 7 D.2. Delineating polycomb function through identification of gene targets ...................... 8 E. BMI1 is an oncogene implicated in many cancers ............................................................. 9 E.1. Clinical implications of BMI1 overexpression ............................................................ 9 E.2. Mechanistic insight into BMI1 as an oncogene ........................................................ 10 v E.3. Genetic inhibition of BMI1 in cancer models supports small molecule inhibitor development for this target ............................................................................................... 14 F. Targeting protein-protein interactions with small molecule inhibitors ......................... 16 F.1. Challenges for small molecule inhibition of protein-protein interactions ................ 16 F.2. Methods of identifying protein-protein interaction inhibitors................................... 17 F.3. Examples of PPI inhibitors for chromatin modifying proteins ................................. 18 G. Thesis summary .................................................................................................................. 20 H. References ............................................................................................................................ 20 Chapter 2: Structural Characterization of BMI1 Protein-Protein Interaction Domain ..... 37 A. Abstract ................................................................................................................................ 37 B. Background .......................................................................................................................... 37 C. Results ................................................................................................................................... 38 C.1. The second domain of BMI1 interacts directly with PHC2 ...................................... 38 C.2. Optimization of BMI1 second domain construct for structural studies .................... 39 C.3. Characterization of BMI1-binding domain in PHC2 ................................................ 42 C.4. Structure determination of BMI1-PHC2 complex ..................................................... 44 C.5. Design of mutations in BMI1 to disrupt BMI1-PHC2 interaction ............................ 49 C.6. BMI1 ULD can form higher order oligomers ........................................................... 50 C.7. Multiple BMI1 protein-protein interactions regulate cellular proliferation ............ 54 D. Discussion and Conclusion ................................................................................................. 56 D.1. Need for using multiple methodologies to determine structure of BMI1-PHC2 complex ............................................................................................................................. 56 D.2. Structural studies of BMI1-PHC2 reveal basis for polycomb ULD specificity ........ 57 D.3. Implications of BMI1 protein-protein interactions on PRC1 architecture ............... 60 Acknowledgements .................................................................................................................. 61 E. Experimental methods ........................................................................................................ 62 F. References ............................................................................................................................ 68 Chapter 3: High-throughput Screening to Identify Inhibitors of the BMI1-PHC2 Protein- Protein Interaction ...................................................................................................................... 72 A. Abstract ................................................................................................................................ 72 B. Background .......................................................................................................................... 73 B.1. Rationale for developing small molecule inhibitors of BMI1-PHC2 protein-protein interaction ........................................................................................................................
Recommended publications
  • Down-Regulation of Stem Cell Genes, Including Those in a 200-Kb Gene Cluster at 12P13.31, Is Associated with in Vivo Differentiation of Human Male Germ Cell Tumors

    Down-Regulation of Stem Cell Genes, Including Those in a 200-Kb Gene Cluster at 12P13.31, Is Associated with in Vivo Differentiation of Human Male Germ Cell Tumors

    Research Article Down-Regulation of Stem Cell Genes, Including Those in a 200-kb Gene Cluster at 12p13.31, Is Associated with In vivo Differentiation of Human Male Germ Cell Tumors James E. Korkola,1 Jane Houldsworth,1,2 Rajendrakumar S.V. Chadalavada,1 Adam B. Olshen,3 Debbie Dobrzynski,2 Victor E. Reuter,4 George J. Bosl,2 and R.S.K. Chaganti1,2 1Cell Biology Program and Departments of 2Medicine, 3Epidemiology and Biostatistics, and 4Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York Abstract on the degree and type of differentiation (i.e., seminomas, which Adult male germ cell tumors (GCTs) comprise distinct groups: resemble undifferentiated primitive germ cells, and nonseminomas, seminomas and nonseminomas, which include pluripotent which show varying degrees of embryonic and extraembryonic embryonal carcinomas as well as other histologic subtypes patterns of differentiation; refs. 2, 3). Nonseminomatous GCTs are exhibiting various stages of differentiation. Almost all GCTs further subdivided into embryonal carcinomas, which show early show 12p gain, but the target genes have not been clearly zygotic or embryonal-like differentiation, yolk sac tumors and defined. To identify 12p target genes, we examined Affymetrix choriocarcinomas, which exhibit extraembryonal forms of differ- (Santa Clara, CA) U133A+B microarray (f83% coverage of 12p entiation, and teratomas, which show somatic differentiation along genes) expression profiles of 17 seminomas, 84 nonseminoma multiple lineages (3). Both seminomas and embryonal carcinoma GCTs, and 5 normal testis samples. Seventy-three genes on 12p are known to express stem cell markers, such as POU5F1 (4) and were significantly overexpressed, including GLUT3 and REA NANOG (5).
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus

    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

    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).
  • Genome-Wide Association Study for Circulating Fibroblast Growth Factor

    Genome-Wide Association Study for Circulating Fibroblast Growth Factor

    www.nature.com/scientificreports OPEN Genome‑wide association study for circulating fbroblast growth factor 21 and 23 Gwo‑Tsann Chuang1,2,14, Pi‑Hua Liu3,4,14, Tsui‑Wei Chyan5, Chen‑Hao Huang5, Yu‑Yao Huang4,6, Chia‑Hung Lin4,7, Jou‑Wei Lin8, Chih‑Neng Hsu8, Ru‑Yi Tsai8, Meng‑Lun Hsieh9, Hsiao‑Lin Lee9, Wei‑shun Yang2,9, Cassianne Robinson‑Cohen10, Chia‑Ni Hsiung11, Chen‑Yang Shen12,13 & Yi‑Cheng Chang2,9,12* Fibroblast growth factors (FGFs) 21 and 23 are recently identifed hormones regulating metabolism of glucose, lipid, phosphate and vitamin D. Here we conducted a genome‑wide association study (GWAS) for circulating FGF21 and FGF23 concentrations to identify their genetic determinants. We enrolled 5,000 participants from Taiwan Biobank for this GWAS. After excluding participants with diabetes mellitus and quality control, association of single nucleotide polymorphisms (SNPs) with log‑transformed FGF21 and FGF23 serum concentrations adjusted for age, sex and principal components of ancestry were analyzed. A second model additionally adjusted for body mass index (BMI) and a third model additionally adjusted for BMI and estimated glomerular fltration rate (eGFR) were used. A total of 4,201 participants underwent GWAS analysis. rs67327215, located within RGS6 (a gene involved in fatty acid synthesis), and two other SNPs (rs12565114 and rs9520257, located between PHC2-ZSCAN20 and ARGLU1-FAM155A respectively) showed suggestive associations with serum FGF21 level (P = 6.66 × 10–7, 6.00 × 10–7 and 6.11 × 10–7 respectively). The SNPs rs17111495 and rs17843626 were signifcantly associated with FGF23 level, with the former near PCSK9 gene and the latter near HLA-DQA1 gene (P = 1.04 × 10–10 and 1.80 × 10–8 respectively).
  • Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice

    Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice

    University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia.
  • Phase Separation by the Polyhomeotic Sterile Alpha Motif Compartmentalizes Polycomb Group Proteins and Enhances Their Activity

    Phase Separation by the Polyhomeotic Sterile Alpha Motif Compartmentalizes Polycomb Group Proteins and Enhances Their Activity

    ARTICLE https://doi.org/10.1038/s41467-020-19435-z OPEN Phase separation by the polyhomeotic sterile alpha motif compartmentalizes Polycomb Group proteins and enhances their activity Elias Seif1, Jin Joo Kang1,2, Charles Sasseville1, Olga Senkovich3, Alexander Kaltashov1, Elodie L. Boulier1, ✉ Ibani Kapur1,2, Chongwoo A. Kim3 & Nicole J. Francis 1,2,4 1234567890():,; Polycomb Group (PcG) proteins organize chromatin at multiple scales to regulate gene expression. A conserved Sterile Alpha Motif (SAM) in the Polycomb Repressive Complex 1 (PRC1) subunit Polyhomeotic (Ph) has been shown to play an important role in chromatin compaction and large-scale chromatin organization. Ph SAM forms helical head to tail polymers, and SAM-SAM interactions between chromatin-bound Ph/PRC1 are believed to compact chromatin and mediate long-range interactions. To understand the underlying mechanism, here we analyze the effects of Ph SAM on chromatin in vitro. We find that incubation of chromatin or DNA with a truncated Ph protein containing the SAM results in formation of concentrated, phase-separated condensates. Ph SAM-dependent condensates can recruit PRC1 from extracts and enhance PRC1 ubiquitin ligase activity towards histone H2A. We show that overexpression of Ph with an intact SAM increases ubiquitylated H2A in cells. Thus, SAM-induced phase separation, in the context of Ph, can mediate large-scale compaction of chromatin into biochemical compartments that facilitate histone modification. 1 Institut de recherches cliniques de Montréal, 110 Avenue des Pins Ouest, Montréal, QC H2W 1R7, Canada. 2 Division of Experimental Medicine, McGill University, 1001 Decarie Boulevard, Montreal, QC H4A 3J1, Canada. 3 Department of Biochemistry and Molecular Genetics, Midwestern University, 19555N.
  • PHC1 (D-10): Sc-390880

    PHC1 (D-10): Sc-390880

    SAN TA C RUZ BI OTEC HNOL OG Y, INC . PHC1 (D-10): sc-390880 BACKGROUND APPLICATIONS Polycomb group (PcG) proteins assemble into multimeric protein complexes, PHC1 (D-10) is recommended for detection of PHC1 of mouse, rat and human which are involved in maintaining the transcriptional repressive state of genes origin by Western Blotting (starting dilution 1:100, dilution range 1:100- throughout development. PHC1 ( polyhomeotic homolog 1), also known as 1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein (1 ml EDR1, HPH1 or RAE28, is a 1,004 amino acid nuclear protein that is a compo - of cell lysate)], immunofluorescence (starting dilution 1:50, dilution range nent of the PcG multiprotein PRC1 complex. Specifically, the PcG PRC1 com - 1:50-1:500) and solid phase ELISA (starting dilution 1:30, dilution range plex modifies histones, remodels chromatin and mediates monoubiquination 1:30- 1:3000). of Histone H2A. Other constituent proteins involved in the PcG PRC1 complex Suitable for use as control antibody for PHC1 siRNA (h): sc-95881, PHC1 are Mel-18, Bmi-1, M33, MPc2, MPc3, RING1, Ring1b, as well as several siRNA (m): sc-152203, PHC1 shRNA Plasmid (h): sc-95881-SH, PHC1 shRNA others. Existing as a homodimer, PHC1 contains one FCS-type zinc finger Plasmid (m): sc-152203-SH, PHC1 shRNA (h) Lentiviral Particles: sc-95881-V and a SAM (sterile motif) domain. PHC1 is encoded by a gene located on α and PHC1 shRNA (m) Lentiviral Particles: sc-152203-V. human chromosome 12, which encodes over 1,100 genes and comprises approximately 4.5% of the human genome.
  • Polycomb Group Proteins Ring1a/B Are Functionally Linked to the Core Transcriptional Regulatory Circuitry to Maintain ES Cell Identity Mitsuhiro Endoh1, Takaho A

    Polycomb Group Proteins Ring1a/B Are Functionally Linked to the Core Transcriptional Regulatory Circuitry to Maintain ES Cell Identity Mitsuhiro Endoh1, Takaho A

    Development ePress online publication date 13 March 2008 RESEARCH ARTICLE 1513 Development 135, 1513-1524 (2008) doi:10.1242/dev.014340 Polycomb group proteins Ring1A/B are functionally linked to the core transcriptional regulatory circuitry to maintain ES cell identity Mitsuhiro Endoh1, Takaho A. Endo2, Tamie Endoh1, Yu-ichi Fujimura1, Osamu Ohara1, Tetsuro Toyoda2, Arie P. Otte3, Masaki Okano4, Neil Brockdorff5, Miguel Vidal1,6 and Haruhiko Koseki1,* The Polycomb group (PcG) proteins mediate heritable silencing of developmental regulators in metazoans, participating in one of two distinct multimeric protein complexes, the Polycomb repressive complexes 1 (PRC1) and 2 (PRC2). Although PRC2 has been shown to share target genes with the core transcription network, including Oct3/4, to maintain embryonic stem (ES) cells, it is still unclear whether PcG proteins and the core transcription network are functionally linked. Here, we identify an essential role for the core PRC1 components Ring1A/B in repressing developmental regulators in mouse ES cells and, thereby, in maintaining ES cell identity. A significant proportion of the PRC1 target genes are also repressed by Oct3/4. We demonstrate that engagement of PRC1 at target genes is Oct3/4-dependent, whereas engagement of Oct3/4 is PRC1-independent. Moreover, upon differentiation induced by Gata6 expression, most of the Ring1A/B target genes are derepressed and the binding of Ring1A/B to their target loci is also decreased. Collectively, these results indicate that Ring1A/B-mediated Polycomb
  • Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene

    Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene

    Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A.
  • Polycomb Group Protein Expression During Differentiation of Human

    Polycomb Group Protein Expression During Differentiation of Human

    Pethe et al. BMC Cell Biology 2014, 15:18 http://www.biomedcentral.com/1471-2121/15/18 RESEARCH ARTICLE Open Access Polycomb group protein expression during differentiation of human embryonic stem cells into pancreatic lineage in vitro Prasad Pethe, Punam Nagvenkar and Deepa Bhartiya* Abstract Background: Polycomb Group (PcG) proteins are chromatin modifiers involved in early embryonic development as well as in proliferation of adult stem cells and cancer cells. PcG proteins form large repressive complexes termed Polycomb Repressive Complexes (PRCs) of which PRC1 and PRC2 are well studied. Differentiation of human Embryonic Stem (hES) cells into insulin producing cells has been achieved to limited extent, but several aspects of differentiation remain unexplored. The PcG protein dynamics in human embryonic stem (hES) cells during differentiation into pancreatic lineage has not yet been reported. In the present study, the expression of RING1A, RING1B, BMI1, CBX2, SUZ12, EZH2, EED and JARID2 during differentiation of hES cells towards pancreatic lineage was examined. Results: In-house derived hES cell line KIND1 was used to study expression of PcG protein upon spontaneous and directed differentiation towards pancreatic lineage. qRT-PCR analysis showed expression of gene transcripts for various lineages in spontaneously differentiated KIND1 cells, but no differentiation into pancreatic lineage was observed. Directed differentiation induced KIND1 cells grown under feeder-free conditions to transition from definitive endoderm (Day 4), primitive gut tube stage (Day 8) and pancreatic progenitors (Day 12-Day 16) as evident from expression of SOX17, PDX1 and SOX9 by qRT-PCR and Western blotting. In spontaneously differentiating KIND1 cells, RING1A and SUZ12 were upregulated at day 15, while other PcG transcripts were downregulated.
  • Supplemental Material 1

    Supplemental Material 1

    SUP. FIGURE S1 DAPI NFAT Merge DMSO Ac­5SGlcNAc Figure S1. Inhibition of OGT does not prevent nuclear translocation of NFAT. Jurkat cells !"#$%&'()*+(!!,-.'/012"#..(3'4056'7(+('"+(#"(3'7,"8'9:';<'5=29>/%=45='?+'@<>A'B?+'CD' 8+!E''F(%%!'7(+('"8(-'*%#"(3'?-'#-",2F@GHF@ID2=?#"(3'=?J(+!%,*!'B?+'G:'K,-!E''5B"(+'B,)#",?-L' =(%%!'7(+('#-#%&M(3'$&'=?-B?=#%'K,=+?!=?*&E SUP. FIGURE S2 Labeled Unlabeled Labeled Unlabeled 1h 18h ­Az ­PEG 1h 19h ­Az ­PEG !"#$%"#&'( ­ + ­ + + + !"#$%"#&'( ­ + ­ + + + 110 EWSR1 160 *34+&5 80 &,/ 160 )*+-2$ 160 110 )*+,& 80 60 &,/ 160 110 80 0"1"- RUNX1 110 80 60 60 50 160 SP1 160 110 ELF1 110 80 160 NUP98 110 80 )*+&-. &,/ Figure S2. PEG mass tags allow visualization of O­GlcNAc stoichiometry. 5K PEG mass tags were affixed to O­GlcNAc groups on proteins from control or activated T cells via enzy­ matic labeling with azide and copper­free click chemistry. Proteins were then analyzed for shifts in electrophoretic mobility by immunoblot. For the unlabeled control samples, either the azide (­Az) or PEG (­PEG) reagent was omitted during the labeling procedure. Note that HCFC1 appears as multiple bands because the protein is expressed as a single polypeptide that under­ goes proteolytic processing. UBAP2L appears as two bands in the unlabeled control samples due to alternative splicing. Table S1. Details of 133 higher confidence and 81 lower confidence O-GlcNAc glycoproteins1. Confidence Uniprot ID Symbol Specificity Chi Higher P55265 ADAR 100% 9.11E-04 Higher Q09666 AHNAK 92% 2.36E-16 Higher Q8IWZ3 ANKHD1 100% 1.19E-03 Higher
  • Polycomb Repressor Complex 1 Promotes Gene Silencing Through H2AK119 Mono-Ubiquitination in Acinar-To-Ductal Metaplasia and Pancreatic Cancer Cells

    Polycomb Repressor Complex 1 Promotes Gene Silencing Through H2AK119 Mono-Ubiquitination in Acinar-To-Ductal Metaplasia and Pancreatic Cancer Cells

    www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 10 Polycomb repressor complex 1 promotes gene silencing through H2AK119 mono-ubiquitination in acinar-to-ductal metaplasia and pancreatic cancer cells Simone Benitz1,*, Ivonne Regel1,3,*, Tobias Reinhard1, Anna Popp1, Isabell Schäffer1, Susanne Raulefs1, Bo Kong1, Irene Esposito3, Christoph W. Michalski2,*, Jörg Kleeff1,4,5,* 1Department of Surgery, Technische Universität München, Munich, Germany 2Department of Surgery, University of Heidelberg, Heidelberg, Germany 3Institute of Pathology, Heinrich-Heine University, Duesseldorf, Germany 4The Royal Liverpool and Broadgreen University Hospitals, Liverpool, United Kingdom 5Department of Surgery, Heinrich-Heine University, Duesseldorf, Germany *These authors contribute equally to the manuscript. Correspondence to: Ivonne Regel, e-mail: [email protected] Keywords: polycomb repressor complex, histone mono-ubiquitination, pancreatic cancer, differentiation gene silencing Abbreviations: ADM (acinar-to-ductal metaplasia), PDAC (pancreatic ductal adenocarcinoma), PRC (polycomb repressor complex), PTF (pancreas specific transcription factor) Received: July 29, 2015 Accepted: November 16, 2015 Published: December 22, 2015 ABSTRACT Acinar-to-ductal metaplasia (ADM) occurring in cerulein-mediated pancreatitis or in oncogenic Kras-driven pancreatic cancer development is accompanied by extensive changes in the transcriptional program. In this process, acinar cells shut down the expression of acinar specific differentiation genes