Retinoic Acid Rewires the Adrenergic Core Regulatory Circuitry of Neuroblastoma but Can Be Subverted by Enhancer Hijacking of MY
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Uterine Double-Conditional Inactivation of Smad2 and Smad3 in Mice Causes Endometrial Dysregulation, Infertility, and Uterine Cancer
Uterine double-conditional inactivation of Smad2 and Smad3 in mice causes endometrial dysregulation, infertility, and uterine cancer Maya Krisemana,b, Diana Monsivaisa,c, Julio Agnoa, Ramya P. Masanda, Chad J. Creightond,e, and Martin M. Matzuka,c,f,g,h,1 aDepartment of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030; bReproductive Endocrinology and Infertility, Baylor College of Medicine/Texas Children’s Hospital Women’s Pavilion, Houston, TX 77030; cCenter for Drug Discovery, Baylor College of Medicine, Houston, TX 77030; dDepartment of Medicine, Baylor College of Medicine, Houston, TX 77030; eDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030; fDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030; gDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030; and hDepartment of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX 77030 Contributed by Martin M. Matzuk, December 6, 2018 (sent for review April 30, 2018; reviewed by Milan K. Bagchi and Thomas E. Spencer) SMAD2 and SMAD3 are downstream proteins in the transforming in endometrial function. Notably, members of the transforming growth factor-β (TGF β) signaling pathway that translocate signals growth factor β (TGF β) family are involved in many cellular from the cell membrane to the nucleus, bind DNA, and control the processes and serve as principal regulators of numerous biological expression of target genes. While SMAD2/3 have important roles functions, including female reproduction. Previous studies have in the ovary, we do not fully understand the roles of SMAD2/3 in shown the TGF β family to have key roles in ovarian folliculo- the uterus and their implications in the reproductive system. -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
Watsonjn2018.Pdf (1.780Mb)
UNIVERSITY OF CENTRAL OKLAHOMA Edmond, Oklahoma Department of Biology Investigating Differential Gene Expression in vivo of Cardiac Birth Defects in an Avian Model of Maternal Phenylketonuria A THESIS SUBMITTED TO THE GRADUATE FACULTY In partial fulfillment of the requirements For the degree of MASTER OF SCIENCE IN BIOLOGY By Jamie N. Watson Edmond, OK June 5, 2018 J. Watson/Dr. Nikki Seagraves ii J. Watson/Dr. Nikki Seagraves Acknowledgements It is difficult to articulate the amount of gratitude I have for the support and encouragement I have received throughout my master’s thesis. Many people have added value and support to my life during this time. I am thankful for the education, experience, and friendships I have gained at the University of Central Oklahoma. First, I would like to thank Dr. Nikki Seagraves for her mentorship and friendship. I lucked out when I met her. I have enjoyed working on this project and I am very thankful for her support. I would like thank Thomas Crane for his support and patience throughout my master’s degree. I would like to thank Dr. Shannon Conley for her continued mentorship and support. I would like to thank Liz Bullen and Dr. Eric Howard for their training and help on this project. I would like to thank Kristy Meyer for her friendship and help throughout graduate school. I would like to thank my committee members Dr. Robert Brennan and Dr. Lilian Chooback for their advisement on this project. Also, I would like to thank the biology faculty and staff. I would like to thank the Seagraves lab members: Jailene Canales, Kayley Pate, Mckayla Muse, Grace Thetford, Kody Harvey, Jordan Guffey, and Kayle Patatanian for their hard work and support. -
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). -
ARID5B As a Critical Downstream Target of the TAL1 Complex That Activates the Oncogenic Transcriptional Program and Promotes T-Cell Leukemogenesis
Downloaded from genesdev.cshlp.org on October 10, 2021 - Published by Cold Spring Harbor Laboratory Press ARID5B as a critical downstream target of the TAL1 complex that activates the oncogenic transcriptional program and promotes T-cell leukemogenesis Wei Zhong Leong,1 Shi Hao Tan,1 Phuong Cao Thi Ngoc,1 Stella Amanda,1 Alice Wei Yee Yam,1 Wei-Siang Liau,1 Zhiyuan Gong,2 Lee N. Lawton,1 Daniel G. Tenen,1,3,4 and Takaomi Sanda1,4 1Cancer Science Institute of Singapore, National University of Singapore, 117599 Singapore; 2Department of Biological Sciences, National University of Singapore, 117543 Singapore; 3Harvard Medical School, Boston, Massachusetts 02215, USA; 4Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 117599 Singapore The oncogenic transcription factor TAL1/SCL induces an aberrant transcriptional program in T-cell acute lym- phoblastic leukemia (T-ALL) cells. However, the critical factors that are directly activated by TAL1 and contribute to T-ALL pathogenesis are largely unknown. Here, we identified AT-rich interactive domain 5B (ARID5B) as a col- laborating oncogenic factor involved in the transcriptional program in T-ALL. ARID5B expression is down-regulated at the double-negative 2–4 stages in normal thymocytes, while it is induced by the TAL1 complex in human T-ALL cells. The enhancer located 135 kb upstream of the ARID5B gene locus is activated under a superenhancer in T-ALL cells but not in normal T cells. Notably, ARID5B-bound regions are associated predominantly with active tran- scription. ARID5B and TAL1 frequently co-occupy target genes and coordinately control their expression. -
The Effect of Chromosomal Translocations in Acute Leukemias: the LMO2 Paradigm in Transcription and Development I
[CANCER RESEARCH (SUPPL.) 59, 1794s-1798s, April 1, 1999] The Effect of Chromosomal Translocations in Acute Leukemias: The LMO2 Paradigm in Transcription and Development I Terence H. Rabbitts, 2 Katharina Bucher, Grace Chung, Gerald Grutz, Alan Warren, and Yoshi Yamada Medical Research Council Laboratory of Molecular Biology, Division of Protein and Nucleic Acid Chemistry, Hills Road, Cambridge, CB2 2QH United Kingdom Abstract proto-oncogene from a Burkitt's lymphoma translocation breakpoint t(8;14)(q24;q32) revealed that, while the translocated gene was intact, Two general features have emerged about genes that are activated after there were many mutations in both the noncoding first exon and chromosomal translocations in acute forms of cancer. The protein prod- within the coding region itself (4-11). In T-cell acute leukemias, there ucts of these genes are transcription regulators and are involved in are several different chromosomal translocations found in individual developmental processes, and it seems that the subversion of these normal functions accounts for their role in tumorigenesis. The features of the tumors, and the analysis of these has led to the discovery of many LMO family of genes, which encode LIM-domain proteins involved in different, novel genes that can contribute to T-cell tumorigenesis (1). T-cell acute leukemia through chromosomal translocations, typify these These and many other studies have led to two conclusions: abnormal functions in tumorigenesis. For example, the LMO2 protein is (a) many of the chromosomal translocation-activated oncogenes are involved in the formation of multimeric DNA-binding complexes, which transcription regulators in their normal sites of expression, and it is may vary in composition at different stages of hematopoiesis and function this property that is instrumental in their involvement in tumor etiol- to control differentiation of specific lineages. -
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. -
Co-Occupancy by Multiple Cardiac Transcription Factors Identifies
Co-occupancy by multiple cardiac transcription factors identifies transcriptional enhancers active in heart Aibin Hea,b,1, Sek Won Konga,b,c,1, Qing Maa,b, and William T. Pua,b,2 aDepartment of Cardiology and cChildren’s Hospital Informatics Program, Children’s Hospital Boston, Boston, MA 02115; and bHarvard Stem Cell Institute, Harvard University, Cambridge, MA 02138 Edited by Eric N. Olson, University of Texas Southwestern, Dallas, TX, and approved February 23, 2011 (received for review November 12, 2010) Identification of genomic regions that control tissue-specific gene study of a handful of model genes (e.g., refs. 7–10), it has not been expression is currently problematic. ChIP and high-throughput se- evaluated using unbiased, genome-wide approaches. quencing (ChIP-seq) of enhancer-associated proteins such as p300 In this study, we used a modified ChIP-seq approach to define identifies some but not all enhancers active in a tissue. Here we genome wide the binding sites of these cardiac TFs (1). We show that co-occupancy of a chromatin region by multiple tran- provide unbiased support for collaborative TF interactions in scription factors (TFs) identifies a distinct set of enhancers. GATA- driving cardiac gene expression and use this principle to show that chromatin co-occupancy by multiple TFs identifies enhancers binding protein 4 (GATA4), NK2 transcription factor-related, lo- with cardiac activity in vivo. The majority of these multiple TF- cus 5 (NKX2-5), T-box 5 (TBX5), serum response factor (SRF), and “ binding loci (MTL) enhancers were distinct from p300-bound myocyte-enhancer factor 2A (MEF2A), here referred to as cardiac enhancers in location and functional properties. -
LMO T-Cell Translocation Oncogenes Typify Genes Activated by Chromosomal Translocations That Alter Transcription and Developmental Processes
Downloaded from genesdev.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press PERSPECTIVE LMO T-cell translocation oncogenes typify genes activated by chromosomal translocations that alter transcription and developmental processes Terence H. Rabbitts1 Medical Research Council (MRC) Laboratory of Molecular Biology, Division of Protein and Nucleic Acid Chemistry, Cambridge CB2 2QH, UK The cytogenetic analysis of tumors, particularly those of ment (immunoglobulin or T-cell receptor) occurs and oc- hematopoietic origin, has revealed that reciprocal chro- casionally mediates chromosomal translocation. This mosomal translocations are recurring features of these type of translocation causes oncogene activation result- tumors. Further from the initial recognition of the trans- ing from the new chromosomal environment of the re- location t(9;22) (Nowell and Hungerford 1960; Rowley arranged gene. In general, this means inappropriate gene 1973), it has become clear that particular chromosomal expression. The second, and probably the most common translocations are found consistently in specific tumor outcome of chromosomal translocations, is gene fusion subtypes. A principle example of this is the translocation in which exons from a gene on each of the involved chro- t(8;14)(q24;q32.1) invariably found in the human B cell mosomes are linked after the chromosomal transloca- tumor Burkitt’s lymphoma (Manolov and Manolov 1972; tion, resulting in a fusion mRNA and protein. This type Zech et al. 1976). The link with the immunoglobulin of event is found in many cases of hematopoietic tumors H-chain locus on chromosome 14, band q32.1 (Croce et and in the sarcomas. al. 1979; Hobart et al. -
HAND2‑Mediated Proteolysis Negatively Regulates the Function of Estrogen Receptor Α
5538 MOLECULAR MEDICINE REPORTS 12: 5538-5544, 2015 HAND2‑mediated proteolysis negatively regulates the function of estrogen receptor α TOMOHIKO FUKUDA*, AKIRA SHIRANE*, OSAMU WADA-HIRAIKE, KATSUTOSHI ODA, MICHIHIRO TANIKAWA, AYAKO SAKUABASHI, MANA HIRANO, HOUJU FU, YOSHIHIRO MORITA, YUICHIRO MIYAMOTO, KANAKO INABA, KEI KAWANA, YUTAKA OSUGA and TOMOYUKI FUJII Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan Received October 2, 2014; Accepted June 11, 2015 DOI: 10.3892/mmr.2015.4070 Abstract. A previous study demonstrated that the transcriptional activation function of ERα was possibly attrib- progesterone-inducible HAND2 gene product is a basic uted to the proteasomic degradation of ERα by HAND2. These helix-loop-helix transcription factor and prevents mitogenic results indicate a novel anti-tumorigenic function of HAND2 effects of estrogen receptor α (ERα) by inhibiting fibroblast in regulating ERα-dependent gene expression. Considering growth factor signalling in mouse uteri. However, whether that HAND2 is commonly hypermethylated and silenced in HAND2 directly affects the transcriptional activation func- endometrial cancer, it is hypothesized that HAND2 may serve tion of ERα remains to be elucidated. In the present study, as a possible tumor suppressor, particularly in uterine tissue. the physical interaction between HAND2 and ERα was investigating by performing an immunoprecipitation assay Introduction and an in vitro pull-down assay. The results demonstrated that HAND2 and ERα interacted in a ligand-independent manner. Endometrial cancer is one of the most common types of The in vitro pull-down assays revealed a direct interaction gynecologic malignancy, increasing each year (1). Based on between HAND2 and the amino-terminus of ERα, termed a pathological view, endometrial cancer can be divided into the activation function-1 domain. -
Bat Methylation Ms 162021Cleanba
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.04.283655; this version posted January 6, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Genome Methylation Predicts Age and Longevity of Bats Gerald S. Wilkinson1*†, Danielle M. Adams1, Amin Haghani2, Ake T. Lu2, Joseph Zoller3, Charles E. Breeze4, Bryan D. Arnold5, Hope C. Ball6, Gerald Carter7, Lisa Noelle Cooper6, Dina K.N. Dechmann8,9,10, Paolo Devanna11, Nicolas J. Fasel12, Alexander V. Galazyuk6, Linus Günther13, Edward Hurme1,9, Gareth Jones14, Mirjam Knörnschild10,13, Ella Z. Lattenkamp11,15, Caesar Z. Li3, Frieder Mayer13, Josephine A. Reinhardt16, Rodrigo A. Medellin17, Martina Nagy13, Brian Pope18, Megan L. Power19, Roger D. Ransome14, Emma C. Teeling19, Sonja C. Vernes11,20,21, Daniel Zamora-Mejías17, Joshua Zhang2, and Steve Horvath2,3*† 1 Department of Biology, University of Maryland, College Park 20742 USA 2 Department of Human GenetiCs, David Geffen School of MediCine, University of California, Los Angeles 90095 USA 3 Department of BiostatistiCs, Fielding School of PubliC Health, University of California, Los Angeles 90095 USA 4 Altius Institute for BiomediCal Sciences, Seattle, WA, 98121 USA 5 Department of Biology, Illinois College, Jacksonville, IL 62650 USA 6 Department of Anatomy and Neurobiology, Northeast Ohio MediCal University, Rootstown, Ohio, U.S.A. 44272-0095 7 Department of Evolution, ECology and Organismal Biology, The Ohio State University,