Up-Regulation of Homeodomain Genes, DLX1 and DLX2, by FLT3 Signaling
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Implications of Zonal Architecture on Differential Gene Expression
www.nature.com/scientificreports OPEN Implications of zonal architecture on diferential gene expression profling and altered pathway expressions in mandibular condylar cartilage Aisha M. Basudan1*, Mohammad Azhar Aziz2 & Yanqi Yang3 Mandibular condylar cartilage (MCC) is a multi-zonal heterogeneous fbrocartilage containing diferent types of cells, but the factors/mechanisms governing the phenotypic transition across the zones have not been fully understood. The reliability of molecular studies heavily rely on the procurement of pure cell populations from the heterogeneous tissue. We used a combined laser-capture microdissection and microarray analysis approach which allowed identifcation of diferential zone-specifc gene expression profling and altered pathways in the MCC of 5-week-old rats. The bioinformatics analysis demonstrated that the MCC cells clearly exhibited distinguishable phenotypes from the articular chondrocytes. Additionally, a set of genes has been determined as potential markers to identify each MCC zone individually; Crab1 gene showed the highest enrichment while Clec3a was the most downregulated gene at the superfcial layer, which consists of fbrous (FZ) and proliferative zones (PZ). Ingenuity Pathway Analysis revealed numerous altered signaling pathways; Leukocyte extravasation signaling pathway was predicted to be activated at all MCC zones, in particular mature and hypertrophic chondrocytes zones (MZ&HZ), when compared with femoral condylar cartilage (FCC). Whereas Superpathway of Cholesterol Biosynthesis showed predicted activation in both FZ and PZ as compared with deep MCC zones and FCC. Determining novel zone-specifc diferences of large group of potential genes, upstream regulators and pathways in healthy MCC would improve our understanding of molecular mechanisms on regional (zonal) basis, and provide new insights for future therapeutic strategies. -
Interaction Network of Immune‑Associated Genes Affecting the Prognosis of Patients with Glioblastoma
EXPERIMENTAL AND THERAPEUTIC MEDICINE 21: 61, 2021 Interaction network of immune‑associated genes affecting the prognosis of patients with glioblastoma XIAOHONG HOU1*, JIALIN CHEN2*, QIANG ZHANG1, YINCHUN FAN1, CHENGMING XIANG1, GUIYIN ZHOU1, FANG CAO1 and SHENGTAO YAO1 1Department of Cerebrovascular Disease, Affiliated Hospital of Zunyi Medical University;2 Department of Neonatology, The First People' s Hospital of Zunyi Affiliated to Zunyi Medical University, Zunyi, Guizhou 563000, P.R. China Received October 15, 2019; Accepted October 6, 2020 DOI: 10.3892/etm.2020.9493 Abstract. Glioblastoma multiforme (GBM) is a common and immune genes of interest. The interaction network of malignant tumor type of the nervous system. The purpose immune‑regulatory genes constructed in the present study of the present study was to establish a regulatory network of enhances the current understanding of mechanisms associated immune‑associated genes affecting the prognosis of patients with poor prognosis of patients with GBM. The risk score with GBM. The GSE4290, GSE50161 and GSE2223 datasets model established in the present study may be used to evaluate from the Gene Expression Omnibus database were screened the prognosis of patients with GBM. to identify common differentially expressed genes (co‑DEGs). A functional enrichment analysis indicated that the co‑DEGs Introduction were mainly enriched in cell communication, regulation of enzyme activity, immune response, nervous system, cytokine Glioblastoma multiforme (GBM) is one of the most malig‑ signaling in immune system and the AKT signaling pathway. nant tumor types of the central nervous system, with short The co‑DEGs accumulated in immune response were then median survival and poor prognosis. -
Selective Estrogen Receptor Modulators: Discrimination of Agonistic Versus Antagonistic Activities by Gene Expression Profiling in Breast Cancer Cells
[CANCER RESEARCH 64, 1522–1533, February 15, 2004] Selective Estrogen Receptor Modulators: Discrimination of Agonistic versus Antagonistic Activities by Gene Expression Profiling in Breast Cancer Cells Jonna Frasor,1 Fabio Stossi,1 Jeanne M. Danes,1 Barry Komm,2 C. Richard Lyttle,2 and Benita S. Katzenellenbogen1 1Department of Molecular and Integrative Physiology, University of Illinois and College of Medicine, Urbana, Illinois, and 2Women’s Health Research Institute, Wyeth Research, Collegeville, Pennsylvania ABSTRACT tures in these women; however, some detrimental side effects such as an increased risk of endometrial cancer, stroke, and pulmonary embolism Selective estrogen receptor modulators (SERMs) such as tamoxifen are were also associated with tamoxifen treatment (7). Ral was examined in effective in the treatment of many estrogen receptor-positive breast cancers the Multiple Outcomes of Raloxifene Evaluation trial and found to be and have also proven to be effective in the prevention of breast cancer in women at high risk for the disease. The comparative abilities of tamoxifen effective in reducing the incidence of osteoporosis in postmenopausal versus raloxifene in breast cancer prevention are currently being compared in women, as well as the incidence of breast cancer but, unlike tamoxifen, the Study of Tamoxifen and Raloxifene trial. To better understand the actions without the increased risk of endometrial cancer (8, 9). On the basis of the of these compounds in breast cancer, we have examined their effects on the positive outcome of these trials, the Study of Tamoxifen and Raloxifene expression of ϳ12,000 genes, using Affymetrix GeneChip microarrays, with trial was begun in 1999 to directly compare the effects of these two quantitative PCR verification in many cases, categorizing their actions as SERMs, tamoxifen and Ral, in prevention of breast cancer (10, 11). -
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. -
Characterisation of Keratan Sulfate Phosphoglycan
DIPLOMARBEIT Titel der Diplomarbeit Verification of Dscam expression in rat microglia angestrebter akademischer Grad Magister der Naturwissenschaften (Mag. rer.nat.) Verfasser: Roland Prielhofer Matrikel-Nummer: 0400857 Studienrichtung: A490 - Molekulare Biologie Betreuerin Univ.-Doz. Dr. Monika Bradl (Medizinische Universität Wien) Wien, August 2009 Table of contents: Abstract Zusammenfassung 1. Introduction ........................................................................................................ - 1 - 2. Material and Methods ..................................................................................... - 7 - 2.1. Cell biology ................................................................................................... - 7 - 2.1.1. Media ............................................................................................................. - 7 - 2.1.2. Model organisms ........................................................................................... - 8 - 2.1.3. Preparation of primary mixed glial cell cultures ........................................... - 8 - 2.1.4. BD PuraMatrix™ peptide hydrogel .............................................................. - 9 - 2.1.5. Isolation of microglia from adult lewis rat spinal cords ................................ - 10 - 2.1.6. Lymphocyte isolation .................................................................................... - 11 - 2.1.7. Phase-contrast microscopy and imaging ....................................................... - 11 - -
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 -
Prox1regulates the Subtype-Specific Development of Caudal Ganglionic
The Journal of Neuroscience, September 16, 2015 • 35(37):12869–12889 • 12869 Development/Plasticity/Repair Prox1 Regulates the Subtype-Specific Development of Caudal Ganglionic Eminence-Derived GABAergic Cortical Interneurons X Goichi Miyoshi,1 Allison Young,1 Timothy Petros,1 Theofanis Karayannis,1 Melissa McKenzie Chang,1 Alfonso Lavado,2 Tomohiko Iwano,3 Miho Nakajima,4 Hiroki Taniguchi,5 Z. Josh Huang,5 XNathaniel Heintz,4 Guillermo Oliver,2 Fumio Matsuzaki,3 Robert P. Machold,1 and Gord Fishell1 1Department of Neuroscience and Physiology, NYU Neuroscience Institute, Smilow Research Center, New York University School of Medicine, New York, New York 10016, 2Department of Genetics & Tumor Cell Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, 3Laboratory for Cell Asymmetry, RIKEN Center for Developmental Biology, Kobe 650-0047, Japan, 4Laboratory of Molecular Biology, Howard Hughes Medical Institute, GENSAT Project, The Rockefeller University, New York, New York 10065, and 5Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 Neurogliaform (RELNϩ) and bipolar (VIPϩ) GABAergic interneurons of the mammalian cerebral cortex provide critical inhibition locally within the superficial layers. While these subtypes are known to originate from the embryonic caudal ganglionic eminence (CGE), the specific genetic programs that direct their positioning, maturation, and integration into the cortical network have not been eluci- dated. Here, we report that in mice expression of the transcription factor Prox1 is selectively maintained in postmitotic CGE-derived cortical interneuron precursors and that loss of Prox1 impairs the integration of these cells into superficial layers. Moreover, Prox1 differentially regulates the postnatal maturation of each specific subtype originating from the CGE (RELN, Calb2/VIP, and VIP). -
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 -
Transcriptional Regulatory Networks in Neocortical Development
Review From trans to cis: transcriptional regulatory networks in neocortical development 1 1 1,2 Mikihito Shibata , Forrest O. Gulden , and Nenad Sestan 1 Department of Neurobiology and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA 2 Department of Psychiatry and Program in Cellular Neuroscience, Neurodegeneration and Repair, Yale School of Medicine, New Haven, CT 06510, USA Transcriptional mechanisms mediated by the binding of tions among TFs and CREs form the central core of tran- transcription factors (TFs) to cis-acting regulatory ele- scriptional regulatory networks (TRNs) (Box 1) [1]. ments (CREs) in DNA play crucial roles in directing gene Interactions between TFs and CREs are complex, dynam- expression. While TFs have been extensively studied, ic,andmodulatedbyvariousepigeneticprocesses[12].While less effort has gone towards the identification and func- individual CREs may be regulated by the competitive or tional characterization of CREs and associated epigenet- cooperative binding of many TFs, multiple CREs may also ic modulation. However, owing to methodological and confer transcriptional control over the expression of any analytical advances, more comprehensive studies of single gene [12]. Furthermore, TFs and CREs regulate regulatory elements and mechanisms are now possible. transcription together with their cognate transcriptional We summarize recent progress in integrative analyses of cofactors, chromatin regulators, epigenetic modifications, these regulatory components in the development of the RNA-binding proteins, and non-coding RNAs [2,13]. This cerebral neocortex, the part of the brain involved in combinatorial and multi-level transcriptional regulation cognition and complex behavior. These studies are greatly increases the complexity of gene expression regula- uncovering not only the underlying transcriptional reg- tion, facilitating the unique spatio-temporal patterns nec- ulatory networks, but also how these networks are essary for tissue development and function [3]. -
Up-Regulation of Homeodomain Genes, DLX1 and DLX2, by FLT3 Signaling
SUPPLEMENTARY APPENDIX Up-regulation of homeodomain genes, DLX1 and DLX2, by FLT3 signaling Julia Starkova,1,3 Sharvari Gadgil,2 Yi Hua Qiu,4 Nianxiang Zhang,4 Ivana Hermanova,3 Steven M. Kornblau,4 and Harry A. Drabkin1,3 1Division of Hematology-Oncology, Medical University of South Carolina, Charleston, SC, USA; 2Division of Medical Oncology, University of Colorado Health Sciences Center, Aurora, CO, USA; 3Department of Paediatric Haematology/Oncology, 2nd Faculty of Medicine, Charles University Prague, Czech Republic, and 4Department of Stem Cell Transplantation and Cellular Therapy, Section of Molecular Hematology and Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA Citation: Starkova J, Gadgil S, Hua Qiu Y, Zhang N, Hermanova I, Kornblau SM, and Drabkin HA. Up-regulation of homeodomain genes, DLX1 and DLX2, by FLT3 signaling. Haematologica 2011;96(6):820-828. doi:10.3324/haematol.2010.031179 Online Supplementary Figure S1. Specificity and non-toxicity of PKC412 in MV4;11 cells (A) Results from flow cytometry analysis are shown as a percentage of cells in subG1, G1-G0, S and G2-M phases of the cell cycle after 0, 2, 5 and 24 h treatment of MV4;11 cells with PKC412. (B) Graph shows fold-change of DLX1 gene expression in MV4;11 cells after imatinib treatment. A B Online Supplementary Figure S2. AP1-binding site in the DLX1 promoter. Online Supplementary Figure S3. Diagram of the described interaction between FLT3 and DLX1. Online Supplementary Table S1. Primes sequences. Online Supplementary Table S2. DDCt values of normalized HOX gene expression in MV4; II cells after PKC412 treatment. -
Transcriptional and Post-Transcriptional Regulation of ATP-Binding Cassette Transporter Expression
Transcriptional and Post-transcriptional Regulation of ATP-binding Cassette Transporter Expression by Aparna Chhibber DISSERTATION Submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Pharmaceutical Sciences and Pbarmacogenomies in the Copyright 2014 by Aparna Chhibber ii Acknowledgements First and foremost, I would like to thank my advisor, Dr. Deanna Kroetz. More than just a research advisor, Deanna has clearly made it a priority to guide her students to become better scientists, and I am grateful for the countless hours she has spent editing papers, developing presentations, discussing research, and so much more. I would not have made it this far without her support and guidance. My thesis committee has provided valuable advice through the years. Dr. Nadav Ahituv in particular has been a source of support from my first year in the graduate program as my academic advisor, qualifying exam committee chair, and finally thesis committee member. Dr. Kathy Giacomini graciously stepped in as a member of my thesis committee in my 3rd year, and Dr. Steven Brenner provided valuable input as thesis committee member in my 2nd year. My labmates over the past five years have been incredible colleagues and friends. Dr. Svetlana Markova first welcomed me into the lab and taught me numerous laboratory techniques, and has always been willing to act as a sounding board. Michael Martin has been my partner-in-crime in the lab from the beginning, and has made my days in lab fly by. Dr. Yingmei Lui has made the lab run smoothly, and has always been willing to jump in to help me at a moment’s notice. -
A Set of Regulatory Genes Co-Expressed in Embryonic Human Brain Is Implicated in Disrupted Speech Development
Molecular Psychiatry https://doi.org/10.1038/s41380-018-0020-x ARTICLE A set of regulatory genes co-expressed in embryonic human brain is implicated in disrupted speech development 1 1 1 2 3 Else Eising ● Amaia Carrion-Castillo ● Arianna Vino ● Edythe A. Strand ● Kathy J. Jakielski ● 4,5 6 7 8 9 Thomas S. Scerri ● Michael S. Hildebrand ● Richard Webster ● Alan Ma ● Bernard Mazoyer ● 1,10 4,5 6,11 6,12 13 Clyde Francks ● Melanie Bahlo ● Ingrid E. Scheffer ● Angela T. Morgan ● Lawrence D. Shriberg ● Simon E. Fisher 1,10 Received: 22 September 2017 / Revised: 3 December 2017 / Accepted: 2 January 2018 © The Author(s) 2018. This article is published with open access Abstract Genetic investigations of people with impaired development of spoken language provide windows into key aspects of human biology. Over 15 years after FOXP2 was identified, most speech and language impairments remain unexplained at the molecular level. We sequenced whole genomes of nineteen unrelated individuals diagnosed with childhood apraxia of speech, a rare disorder enriched for causative mutations of large effect. Where DNA was available from unaffected parents, CHD3 SETD1A WDR5 fi 1234567890();,: we discovered de novo mutations, implicating genes, including , and . In other probands, we identi ed novel loss-of-function variants affecting KAT6A, SETBP1, ZFHX4, TNRC6B and MKL2, regulatory genes with links to neurodevelopment. Several of the new candidates interact with each other or with known speech-related genes. Moreover, they show significant clustering within a single co-expression module of genes highly expressed during early human brain development. This study highlights gene regulatory pathways in the developing brain that may contribute to acquisition of proficient speech.