This Thesis Has Been Submitted in Fulfilment of the Requirements for a Postgraduate Degree (E.G
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Role of PU.1 and GATA-1 Transcription Factors During Normal and Leukemogenic Hematopoiesis
Leukemia (2010) 24, 1249–1257 & 2010 Macmillan Publishers Limited All rights reserved 0887-6924/10 www.nature.com/leu REVIEW The role of PU.1 and GATA-1 transcription factors during normal and leukemogenic hematopoiesis P Burda1, P Laslo2 and T Stopka1,3 1Department of Pathophysiology and Center of Experimental Hematology, First Faculty of Medicine, Charles University, Prague, Czech Republic; 2Section of Experimental Haematology, Leeds Institute of Molecular Medicine, University of Leads, St James’s University Hospital, Leeds, UK and 31st Department of Medicine-Hematology, General University Hospital, Prague, Czech Republic Hematopoiesis is coordinated by a complex regulatory network Additional domains include an N-terminal acidic domain and a of transcription factors and among them PU.1 (Spi1, Sfpi1) glutamine-rich domain, both involved in transcriptional activa- represents a key molecule. This review summarizes the tion, as well as a PEST domain involved in protein–protein indispensable requirement of PU.1 during hematopoietic cell fate decisions and how the function of PU.1 can be modulated interactions. PU.1 protein can be modified post-translationally by protein–protein interactions with additional factors. The by phosporylation at serines 41 (N-terminal acidic domain) and mutual negative regulation between PU.1 and GATA-1 is 142 and 148 (PEST domain), which results in augmented detailed within the context of normal and leukemogenic activity. hematopoiesis and the concept of ‘differentiation therapy’ to The PU.1 protein can physically interact with a variety of restore normal cellular differentiation of leukemic cells is regulatory factors including (i) general transcription factors discussed. Leukemia (2010) 24, 1249–1257; doi:10.1038/leu.2010.104; (TFIID, TBP), (ii) early hematopoietic transcription factors published online 3 June 2010 (GATA-2 and Runx-1), (iii) erythroid factor (GATA-1) and (iv) Keywords: PU.1; leukemia differentiation; GATA-1; chromatin; non-erythroid factors (C/EBPa, C/EBPb, IRF4/8 and c-Jun). -
Activated Peripheral-Blood-Derived Mononuclear Cells
Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays. -
Identification of Regulation in Central Carbon Metabolism Among Related
Identification of differential regulation in central carbon metabolism between related cell lines DISSERTATION zur Erlangung des akademischen Grades Doctor rerum naturalium (Dr. rer. nat.) im Fach Biophysik eingereicht an der Lebenswissenschaftlichen Fakultät der Humboldt-Universität zu Berlin von M.Sc. Roman Josef Rainer Präsidentin/Präsident der Humboldt-Universität zu Berlin: Prof. Dr.-Ing. Dr. Sabine Kunst Dekanin/Dekan der Lebenswissenschaftlichen Fakultät der Humboldt-Universität zu Berlin: Prof. Dr. Bernhard Grimm Gutachter/innen: 1. Prof. Dr. Dr. h.c. Edda Klipp 2. Prof. Dr. Birgit Sawitzki 3. Prof. Julio R. Banga Tag der mündlichen Prüfung: 29.10.2020 Abstract Colon cancer cells and T cells regulate central carbon metabolism to meet their anabolic needs. In KRAS and BRAF tumors, metabolic reprogramming is a premise to support rapid prolif- eration. In T cells, the mitochondrial T cell activation inhibitor (TCAIM) is known to affect mitochondrial morphology but its effect on cellular metabolism is not well understood. Via math- ematical modelling, I investigate the differential regulation of closely related cell lines. I present the first mathematical model for colon cancer and T cell metabolism, unraveling differential regulation between related cell lines. The model shows that CaCO2-BRAFV600Ecells are mostly downregulated compared to CaCO2-KRASG12Vand CaCO2-control. Additionally, it demon- strates the critical role of monocarboxylate transporter (MCT), especially for CaCO2-KRASG12V. Concerning T cells, I compare wild-type T cells to homozygous TCAIM T cells. This unveils that TCAIM homozygous cells have a mostly downregulated TCA cycle, validated by RNASeq data, and are less metabolically active than wild-type T cells. Furthermore, if the glycolytic flux is not sufficient to support lactate export and biomass production, the model reveals that the TCA cy- cle is reversed as it requires less regulation. -
The Unique Transcriptional Response Produced by Concurrent Estrogen
Need et al. BMC Cancer (2015) 15:791 DOI 10.1186/s12885-015-1819-3 RESEARCH ARTICLE Open Access The unique transcriptional response produced by concurrent estrogen and progesterone treatment in breast cancer cells results in upregulation of growth factor pathways and switching from a Luminal A to a Basal-like subtype Eleanor F. Need1*,LukeA.Selth2,3,AndrewP.Trotta1,4,DamienA.Leach1,LaurenGiorgio1, Melissa A. O’Loughlin1, Eric Smith5, Peter G. Gill6,WendyV.Ingman7,8, J. Dinny Graham9 and Grant Buchanan1,3 Abstract Background: In breast cancer, progesterone receptor (PR) positivity or abundance is positively associated with survival and treatment response. It was initially believed that PR was a useful diagnostic marker of estrogen receptor activity, but increasingly PR has been recognised to play an important biological role in breast homeostasis, carcinogenesis and metastasis. Although PR expression is almost exclusively observed in estrogen receptor positive tumors, few studies have investigated the cellular mechanisms of PR action in the context of ongoing estrogen signalling. Methods: In this study, we contrast PR function in estrogen pretreated ZR-75-1 breast cancer cells with vehicle treated ZR-75-1 and T-47D breast cancer cells using expression microarrays and chromatin immunoprecipitation-sequencing. Results: Estrogen cotreatment caused a dramatic increase in the number of genes regulated by progesterone in ZR-75-1 cells. In T-47D cells that have naturally high levels of PR, estrogen and progesterone cotreatment resulted in a reduction in the number of regulated genes in comparison to treatment with either hormone alone. At a genome level, estrogen pretreatment of ZR-75-1 cells led to a 10-fold increase in the number of PR DNA binding sites detected using ChIP-sequencing. -
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. -
Transplantation and Immunology 1
Transplantation and Immunology 1 Transplantation and Immunology บรรยายโดย อ.นพ.สมชัย ลิ้มศรีจ าเริญ เรียบเรียง นพ.กิตติ์รวี จิรธานีเรืองกิจ อาจารย์ที่ปรึกษา อ.นพ.ราวิน วงษ์สถาปนาเลิศ Outline 1. Immunology 2. Immunosuppression: drug use in transplantation 3. Clinical transplant: liver pancreas intestine and kidney transplant ในอเมริกา ท า Transplant เยอะมาก และ resident ศัลยกรรมทุกคนต้องผ่าน rotation transplant ดังนั้น ในอนาคต บ้านเรา จะท ากันมากขึ้น และอาจจะบรรจุ เป็น requirement ให้ resident ต้องผ่าน • Immunology ประวัติศาสตร์ เริ่มจาก Jensen reported in 1902 - มีการทดลอง ศึกษาเกี่ยวกับ tumor และ immunology ของ tumor พบว่า สามารถน าเอา tumor จากหนูไป transplant ให้ตัวอื่นได้ ( ท าใน 19 successive generation) - พบว่าหนูบางส่วนจะ reject tumor ไม่ให้เติบโต (50% of mice) - โดยจะ reject ทุกครั้ง ที่น า tumor มา transplant ใหม่ (มี resistant to subsequent challenge) และ หากน า เอา normal tissue ใส่ไปก่อน และเอา tumor มา transplant ก็จะ reject ได้เร็วขึ้น - เกิด Theory อธิบายเหตุการณ์นี้ คือ Athrepsia theory (เกี่ยวกับ nutrition) เพราะ เวลาใส่ tumor เข้าไปแรกๆ จะยังเจริญได้ช่วงหนึ่งจากนั้น จึงตายไป เชื่อว่าเกิดจากการขาด สารอาหาร หลังจาก tumor ใช้สารอาหารหมด มันก็จะตายไป นับเป็นจุดเริ่มต้นที่ใช้ tumor ในการศึกษาหลักการเรื่อง Transplantation Medawar reported in 1943 (Nobel prize) - เมื่อมี rejection เกิดขึ้น หากเราใช้ graft ครั้งที่ 2 จาก donor เดิม จะเกิดการ reject เร็วขึ้น ซึ่งคิดว่าเกิดจาก Actively acquired immune reaction จากนั้นมีการศึกษาอีกหลายอย่างเพื่อศึกษา transplant immunology Owen reported in 1947 - ถ้าน าสัตว์เช่น ลูกวัว ที่เป็น dizygotic -
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 -
Areas of Future Research in Fibroid Therapy
9/18/18 Cumulative Incidence of Fibroids over Reproductive Lifespan RFTS Areas of Future Research Blacks Blacks UFS Whites in Fibroid Therapy CARDIA Age 33-46 William H. Catherino, MD, PhD Whites Professor and Chair, Research Division Seveso Italy Uniformed Services University Blacks Whites Associate Program Director Sweden/Whites (Age 33-40) Division of REI, PRAE, NICHD, NIH The views expressed in this article are those of the author(s) and do not reflect the official policy or position of the Department of the Army, Department of Defense, or the US Government. Laughlin Seminars Reprod Med 2010;28: 214 Fibroids Increase Miscarriage Rate Obstetric Complications of Fibroids Complication Fibroid No Fibroid OR Abnormal labor 49.6% 22.6% 2.2 Cesarean Section 46.2% 23.5% 2.0 Preterm delivery 13.8% 10.7% 1.5 BreecH position 9.3% 4.0% 1.6 pp Hemorrhage 8.3% 2.9% 2.2 PROM 4.2% 2.5% 1.5 Placenta previa 1.7% 0.7% 2.0 Abruption 1.4% 0.7% 2.3 Guben Reprod Biol Odds of miscarriage decreased with no myoma comparedEndocrinol to myoma 2013;11:102 Biderman-Madar ArcH Gynecol Obstet 2005;272:218 Ciavattini J Matern Fetal Neonatal Med 2015;28:484-8 Not Impacting the Cavity Coronado Obstet Gynecol 2000;95:764 Kramer Am J Obstet Gynecol 2013;209:449.e1-7 Navid Ayub Med Coll Abbottabad 2012;24:90 Sheiner J Reprod Med 2004;49:182 OR = 0.737 [0.647, 0.840] Stout Obstet Gynecol 2010;116:1056 Qidwai Obstet Gynecol 2006;107:376 1 9/18/18 Best Studied Therapies Hysterectomy Option over Time Surgical Radiologic Medical >100 years of study Hysterectomy Open myomectomy GnRH agonists 25-34 years of study Endometrial Ablation GnRH agonists 20-24 years of study Laparoscopic myomectomy Uterine artery embolization Retinoic acid 10-19 years of study Uterine artery obstruction SPRMs: Mifepristone, ulipristal Robotic myomectomy GnRH antagonists 5-9 years of study Cryomyolysis MRI-guided high frequency ultrasound SPRMs: Asoprisnil, Telapristone, Laparoscopic ablation Vilaprisan SERMs: Tamoxifen, Raloxifene, Letrozole, Genistein Pitter MC, Simmonds C, Seshadri-Kreaden U, Hubert HB. -
Durham E-Theses
Durham E-Theses Elemental Fluorine for the Greener Synthesis of Life-Science Building Blocks HARSANYI, ANTAL How to cite: HARSANYI, ANTAL (2016) Elemental Fluorine for the Greener Synthesis of Life-Science Building Blocks, Durham theses, Durham University. Available at Durham E-Theses Online: http://etheses.dur.ac.uk/11705/ Use policy The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in Durham E-Theses • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. Please consult the full Durham E-Theses policy for further details. Academic Support Oce, Durham University, University Oce, Old Elvet, Durham DH1 3HP e-mail: [email protected] Tel: +44 0191 334 6107 http://etheses.dur.ac.uk 2 Durham University A thesis entitled Elemental Fluorine for the Greener Synthesis of Life-Science Building Blocks by Antal Harsanyi (College of St. Hild and St. Bede) A candidate for the degree of Doctor of Philosophy Department of Chemistry, Durham University 2016 Antal Harsanyi: Elemental fluorine for the greener synthesis of life-science building blocks Abstract Fluorinated organic compounds are increasingly important in many areas of our modern lives, especially in pharmaceutical and agrochemical applications where the incorporation of this element can have a major influence on biochemical properties. -
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 -
HSF1) During Macrophage Differentiation of Monocytes
Leukemia (2014) 28, 1676–1686 & 2014 Macmillan Publishers Limited All rights reserved 0887-6924/14 www.nature.com/leu ORIGINAL ARTICLE Dual regulation of SPI1/PU.1 transcription factor by heat shock factor 1 (HSF1) during macrophage differentiation of monocytes G Jego1,2, D Lanneau1,2, A De Thonel1,2, K Berthenet1,2, A Hazoume´ 1,2, N Droin3,4, A Hamman1,2, F Girodon1,2, P-S Bellaye1,2, G Wettstein1,2, A Jacquel1,2,5, L Duplomb6,7, A Le Moue¨l8,9, C Papanayotou10, E Christians11, P Bonniaud1,2, V Lallemand-Mezger8,9, E Solary3,4 and C Garrido1,2,12 In addition to their cytoprotective role in stressful conditions, heat shock proteins (HSPs) are involved in specific differentiation pathways, for example, we have identified a role for HSP90 in macrophage differentiation of human peripheral blood monocytes that are exposed to macrophage colony-stimulating factor (M-CSF). Here, we show that deletion of the main transcription factor involved in heat shock gene regulation, heat shock factor 1 (HSF1), affects M-CSF-driven differentiation of mouse bone marrow cells. HSF1 transiently accumulates in the nucleus of human monocytes undergoing macrophage differentiation, including M-CSF- treated peripheral blood monocytes and phorbol ester-treated THP1 cells. We demonstrate that HSF1 has a dual effect on SPI1/ PU.1, a transcription factor essential for macrophage differentiation and whose deregulation can lead to the development of leukemias and lymphomas. Firstly, HSF1 regulates SPI1/PU.1 gene expression through its binding to a heat shock element within the intron 2 of this gene. -
Type of the Paper (Article
Supplementary figures and tables E g r 1 F g f2 F g f7 1 0 * 5 1 0 * * e e e * g g g * n n n * a a a 8 4 * 8 h h h * c c c d d d * l l l o o o * f f f * n n n o o o 6 3 6 i i i s s s s s s e e e r r r p p p x x x e e e 4 2 4 e e e n n n e e e g g g e e e v v v i i i t t t 2 1 2 a a a l l l e e e R R R 0 0 0 c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d J a k 2 N o tc h 2 H if1 * 3 4 6 * * * e e e g g g n n n a a * * a * h h * h c c c 3 * d d * d l l l * o o o f f 2 f 4 n n n o o o i i i s s s s s s e e e r r 2 r p p p x x x e e e e e e n n n e e 1 e 2 g g g e e 1 e v v v i i i t t t a a a l l l e e e R R R 0 0 0 c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d Z e b 2 C d h 1 S n a i1 * * 7 1 .5 4 * * e e e g g g 6 n n n * a a a * h h h c c c 3 * d d d l l l 5 o o o f f f 1 .0 * n n n * o o o i i i 4 * s s s s s s e e e r r r 2 p p p x x x 3 e e e e e e n n n e e e 0 .5 g g g 2 e e e 1 v v v i i i t t t a a a * l l l e e e 1 * R R R 0 0 .0 0 c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d M m p 9 L o x V im 2 0 0 2 0 8 * * * e e e * g g g 1 5 0 * n n n * a a a * h h h * c c c 1 5 * 6 d d d l l l 1 0 0 o o o f f f n n n o o o i i i 5 0 s s s s s s * e e e r r r 1 0 4 3 0 p p p * x x x e e e * e e e n n n e e e 2 0 g g g e e e 5 2 v v v i i i t t t a a a l l l 1 0 e e e R R R 0 0 0 c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d c o n tro l u n in fla m e d in fla m e d Supplementary Figure 1.