Partial Monosomy 8P and Trisomy 16Q in Two Children with Developmental Delay Detected by Array Comparative Genomic Hybridization
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Architecture of a Lymphomyeloid Developmental Switch Controlled by PU.1, Notch and Gata3 Marissa Morales Del Real and Ellen V
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Caltech Authors DEVELOPMENT AND STEM CELLS RESEARCH ARTICLE 1207 Development 140, 1207-1219 (2013) doi:10.1242/dev.088559 © 2013. Published by The Company of Biologists Ltd Architecture of a lymphomyeloid developmental switch controlled by PU.1, Notch and Gata3 Marissa Morales Del Real and Ellen V. Rothenberg* SUMMARY Hematopoiesis is a classic system with which to study developmental potentials and to investigate gene regulatory networks that control choices among alternate lineages. T-cell progenitors seeding the thymus retain several lineage potentials. The transcription factor PU.1 is involved in the decision to become a T cell or a myeloid cell, and the developmental outcome of expressing PU.1 is dependent on exposure to Notch signaling. PU.1-expressing T-cell progenitors without Notch signaling often adopt a myeloid program, whereas those exposed to Notch signals remain in a T-lineage pathway. Here, we show that Notch signaling does not alter PU.1 transcriptional activity by degradation/alteration of PU.1 protein. Instead, Notch signaling protects against the downregulation of T-cell factors so that a T-cell transcriptional network is maintained. Using an early T-cell line, we describe two branches of this network. The first involves inhibition of E-proteins by PU.1 and the resulting inhibition of Notch signaling target genes. Effects of E- protein inhibition can be reversed by exposure to Notch signaling. The second network is dependent on the ability of PU.1 to inhibit important T-cell transcription factor genes such as Myb, Tcf7 and Gata3 in the absence of Notch signaling. -
GCSH Rabbit Pab
Leader in Biomolecular Solutions for Life Science GCSH Rabbit pAb Catalog No.: A3880 Basic Information Background Catalog No. Degradation of glycine is brought about by the glycine cleavage system, which is A3880 composed of four mitochondrial protein components: P protein (a pyridoxal phosphate- dependent glycine decarboxylase), H protein (a lipoic acid-containing protein), T protein Observed MW (a tetrahydrofolate-requiring enzyme), and L protein (a lipoamide dehydrogenase). The 28kDa protein encoded by this gene is the H protein, which transfers the methylamine group of glycine from the P protein to the T protein. Defects in this gene are a cause of nonketotic Calculated MW hyperglycinemia (NKH). Two transcript variants, one protein-coding and the other 18kDa probably not protein-coding,have been found for this gene. Also, several transcribed and non-transcribed pseudogenes of this gene exist throughout the genome. Category Primary antibody Applications WB Cross-Reactivity Human Recommended Dilutions Immunogen Information WB 1:500 - 1:1000 Gene ID Swiss Prot 2653 P23434 Immunogen A synthetic peptide of human GCSH Synonyms GCSH;GCE;NKH Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at 4℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide, pH7.3. Validation Data Western blot analysis of extracts of T47D cells, using GCSH antibody (A3880). Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. Antibody | Protein | ELISA Kits | Enzyme | NGS | Service For research use only. Not for therapeutic or diagnostic purposes. -
Supplementary Figure 1. Qrt-PCR Analyses for Measuring the Knockdown Efficiency of Transcription Factors. A549 and U937 Cells Kn
Supplementary Figure 1. qRT-PCR analyses for measuring the knockdown efficiency of transcription factors. A549 and U937 cells knocking down or overexpressing different transcription factors including NF-κB subunits p65 and p50 (A), HIF1 (B), TCF4 (C), AP-1 subunits c-Jun and c-FOS (D), or FOXP3 (E) were subjected to RNA isolation, followed by qRT-PCR analyses to examine the expression of these transcription factors. **P<0.01 and ***P<0.001. 1 Supplementary Figure 2. Effects of FOXP3 downregulation and overexpression on the expression of NLRP1, IL1B and IL18. A549 and U937 cells were transfected with si-FOXP3 or pCDNA3-2×Flag-FOXP3. After 24 h, cells were subjected to RNA isolation, followed by qRT-PCR analyses to examine the expression of NLRP1 (A), IL1B (B) and IL18 (C). ***P<0.001. 2 Supplementary Figure 3. Effects of CtBP2 downregulation and overexpression on the expression of miR-199a-3p, NLRP1, IL1B and IL18. A549 and U937 cells were transfected with si-CtBP2 or pCDNA3-2×Flag-CtBP2. After 24 h, cells were subjected to RNA isolation, followed by qRT-PCR analyses to examine the expression of miR-199a-3p (A), NLRP1 (B), IL1B (C) and IL18 (D). ***P<0.001. 3 Supplementary Figure 4. CHFTC specifically bond to the promoter of miR-199a-3p. (A and B) Effects of CtBP2 knockdown and overexpression on HDAC1 and FOXP3 protein levels. A549 cells were transfected with two CtBP2-specific shRNAs and pCDNA3-2×Flag-CtBP2 to obtain two CtBP2-knockdown cell lines (KD-1 and KD-2) (A) and two CtBP2-overexpression cells lines (OE-1 and OE-2) (B), respectively. -
Open Dogan Phdthesis Final.Pdf
The Pennsylvania State University The Graduate School Eberly College of Science ELUCIDATING BIOLOGICAL FUNCTION OF GENOMIC DNA WITH ROBUST SIGNALS OF BIOCHEMICAL ACTIVITY: INTEGRATIVE GENOME-WIDE STUDIES OF ENHANCERS A Dissertation in Biochemistry, Microbiology and Molecular Biology by Nergiz Dogan © 2014 Nergiz Dogan Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 2014 ii The dissertation of Nergiz Dogan was reviewed and approved* by the following: Ross C. Hardison T. Ming Chu Professor of Biochemistry and Molecular Biology Dissertation Advisor Chair of Committee David S. Gilmour Professor of Molecular and Cell Biology Anton Nekrutenko Professor of Biochemistry and Molecular Biology Robert F. Paulson Professor of Veterinary and Biomedical Sciences Philip Reno Assistant Professor of Antropology Scott B. Selleck Professor and Head of the Department of Biochemistry and Molecular Biology *Signatures are on file in the Graduate School iii ABSTRACT Genome-wide measurements of epigenetic features such as histone modifications, occupancy by transcription factors and coactivators provide the opportunity to understand more globally how genes are regulated. While much effort is being put into integrating the marks from various combinations of features, the contribution of each feature to accuracy of enhancer prediction is not known. We began with predictions of 4,915 candidate erythroid enhancers based on genomic occupancy by TAL1, a key hematopoietic transcription factor that is strongly associated with gene induction in erythroid cells. Seventy of these DNA segments occupied by TAL1 (TAL1 OSs) were tested by transient transfections of cultured hematopoietic cells, and 56% of these were active as enhancers. Sixty-six TAL1 OSs were evaluated in transgenic mouse embryos, and 65% of these were active enhancers in various tissues. -
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. -
Location Analysis of Estrogen Receptor Target Promoters Reveals That
Location analysis of estrogen receptor ␣ target promoters reveals that FOXA1 defines a domain of the estrogen response Jose´ e Laganie` re*†, Genevie` ve Deblois*, Ce´ line Lefebvre*, Alain R. Bataille‡, Franc¸ois Robert‡, and Vincent Gigue` re*†§ *Molecular Oncology Group, Departments of Medicine and Oncology, McGill University Health Centre, Montreal, QC, Canada H3A 1A1; †Department of Biochemistry, McGill University, Montreal, QC, Canada H3G 1Y6; and ‡Laboratory of Chromatin and Genomic Expression, Institut de Recherches Cliniques de Montre´al, Montreal, QC, Canada H2W 1R7 Communicated by Ronald M. Evans, The Salk Institute for Biological Studies, La Jolla, CA, July 1, 2005 (received for review June 3, 2005) Nuclear receptors can activate diverse biological pathways within general absence of large scale functional data linking these putative a target cell in response to their cognate ligands, but how this binding sites with gene expression in specific cell types. compartmentalization is achieved at the level of gene regulation is Recently, chromatin immunoprecipitation (ChIP) has been used poorly understood. We used a genome-wide analysis of promoter in combination with promoter or genomic DNA microarrays to occupancy by the estrogen receptor ␣ (ER␣) in MCF-7 cells to identify loci recognized by transcription factors in a genome-wide investigate the molecular mechanisms underlying the action of manner in mammalian cells (20–24). This technology, termed 17-estradiol (E2) in controlling the growth of breast cancer cells. ChIP-on-chip or location analysis, can therefore be used to deter- We identified 153 promoters bound by ER␣ in the presence of E2. mine the global gene expression program that characterize the Motif-finding algorithms demonstrated that the estrogen re- action of a nuclear receptor in response to its natural ligand. -
A Private 16Q24.2Q24.3 Microduplication in a Boy with Intellectual Disability, Speech Delay and Mild Dysmorphic Features
G C A T T A C G G C A T genes Article A Private 16q24.2q24.3 Microduplication in a Boy with Intellectual Disability, Speech Delay and Mild Dysmorphic Features Orazio Palumbo * , Pietro Palumbo , Ester Di Muro, Luigia Cinque, Antonio Petracca, Massimo Carella and Marco Castori Division of Medical Genetics, Fondazione IRCCS-Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; [email protected] (P.P.); [email protected] (E.D.M.); [email protected] (L.C.); [email protected] (A.P.); [email protected] (M.C.); [email protected] (M.C.) * Correspondence: [email protected]; Tel.: +39-088-241-6350 Received: 5 June 2020; Accepted: 24 June 2020; Published: 26 June 2020 Abstract: No data on interstitial microduplications of the 16q24.2q24.3 chromosome region are available in the medical literature and remain extraordinarily rare in public databases. Here, we describe a boy with a de novo 16q24.2q24.3 microduplication at the Single Nucleotide Polymorphism (SNP)-array analysis spanning ~2.2 Mb and encompassing 38 genes. The patient showed mild-to-moderate intellectual disability, speech delay and mild dysmorphic features. In DECIPHER, we found six individuals carrying a “pure” overlapping microduplication. Although available data are very limited, genomic and phenotype comparison of our and previously annotated patients suggested a potential clinical relevance for 16q24.2q24.3 microduplication with a variable and not (yet) recognizable phenotype predominantly affecting cognition. Comparing the cytogenomic data of available individuals allowed us to delineate the smallest region of overlap involving 14 genes. Accordingly, we propose ANKRD11, CDH15, and CTU2 as candidate genes for explaining the related neurodevelopmental manifestations shared by these patients. -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT) Beyond SMARCA4 Mutations: a Comprehensive Genomic Analysis
cells Article Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT) beyond SMARCA4 Mutations: A Comprehensive Genomic Analysis Aurélie Auguste 1,Félix Blanc-Durand 2 , Marc Deloger 3 , Audrey Le Formal 1, Rohan Bareja 4,5, David C. Wilkes 4 , Catherine Richon 6,Béatrice Brunn 2, Olivier Caron 6, Mojgan Devouassoux-Shisheboran 7,Sébastien Gouy 2, Philippe Morice 2, Enrica Bentivegna 2, Andrea Sboner 4,5,8, Olivier Elemento 4,8, Mark A. Rubin 9 , Patricia Pautier 2, Catherine Genestie 10, Joanna Cyrta 4,9,11 and Alexandra Leary 1,2,* 1 Medical Oncologist, Gynecology Unit, Lead Translational Research Team, INSERM U981, Gustave Roussy, 94805 Villejuif, France; [email protected] (A.A.); [email protected] (A.L.F.) 2 Gynecological Unit, Department of Medicine, Gustave Roussy, 94805 Villejuif, France; [email protected] (F.B.-D.); [email protected] (B.B.); [email protected] (S.G.); [email protected] (P.M.); [email protected] (E.B.); [email protected] (P.P.) 3 Bioinformatics Core Facility, Gustave Roussy Cancer Center, UMS CNRS 3655/INSERM 23 AMMICA, 94805 Villejuif, France; [email protected] 4 Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10001, USA; [email protected] (R.B.); [email protected] (D.C.W.); [email protected] (A.S.); [email protected] (O.E.); [email protected] (J.C.) 5 Institute for Computational Biomedicine, Weill Cornell -
Rat Anti-TERF1 Monoclonal Antibody, Clone 683D (CABT-RM172) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Rat Anti-TERF1 monoclonal antibody, clone 683D (CABT-RM172) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Specificity Specifically detects murine Telomeric repeat-binding factor 1 (TRF1). Target TERF1 Immunogen His-tagged full-length recombinant mouse Telomeric repeat-binding factor 1 (TRF1). Isotype IgG1, κ Source/Host Rat Species Reactivity Mouse Clone 683D Purification Protein G purified Conjugate unconjugated Applications FC, ICC, IF, WB Molecular Weight ~51 kDa observed; 48.22 kDa calculated. Uncharacterized bands may be observed in some lysate(s). Format Liquid Size 100 μg, 25 μg Buffer 0.1 M Tris-Glycine (pH 7.4), 150 mM NaCl Preservative 0.05% sodium azide Storage Stable for 1 year at 2-8°C from date of receipt. Warnings Unless otherwise stated in our catalog or other company documentation accompanying the product(s), our products are intended for research use only and are not to be used for any other purpose, which includes but is not limited to, unauthorized commercial uses, in vitro diagnostic uses, ex vivo or in vivo therapeutic uses or any type of consumption or application to humans or animals. 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected] Tel: 1-631-624-4882 Fax: 1-631-938-8221 1 © Creative Diagnostics All Rights Reserved BACKGROUND Introduction Telomeric repeat-binding factor 1 is encoded by the Terf1 gene in murine species. TRF1 is a component of the shelterin complex that is involved in the regulation of telomere length and protection. It binds to telomeric DNA as a homodimer and protects telomeres. -
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Published OnlineFirst August 15, 2016; DOI: 10.1158/1078-0432.CCR-16-0290 Biology of Human Tumors Clinical Cancer Research Recurrent TRIO Fusion in Nontranslocation– Related Sarcomas Lucile Delespaul1,2, Tom Lesluyes1,2,Gaelle€ Perot 1,3,Celine Brulard1, Lydia Lartigue1,2, Jessica Baud1,2, Pauline Lagarde1, Sophie Le Guellec4,Agnes Neuville1,3, Philippe Terrier5, Dominique Vince-Ranchere 6, Susanne Schmidt7, Anne Debant7, Jean-Michel Coindre1,2,3, and Fred eric Chibon1,3 Abstract Purpose: Despite various differences, nontranslocation-related with various partners, was identified in 5.1% of cases. TRIO sarcomas (e.g., comprising undifferentiated pleomorphic sarcoma, translocations are either intrachromosomal with TERT or inter- leiomyosarcoma, myxofibrosarcoma) are unified by their complex chromosomal with LINC01504 or ZNF558. Our results suggest genetics. Extensive analysis of the tumor genome using molecular that all translocations led to a truncated TRIO protein either cytogenetic approaches showed many chromosomal gains, losses, directly or indirectly by alternative splicing. TRIO rearrangement and translocations per cell. Genomic quantitative alterations and is associated with a modified transcriptomic program to immu- expression variations have been extensively studied by adapted nity/inflammation, proliferation and migration, and an increase high-throughput approaches, yet translocations still remained in proliferation. unscreened. We therefore analyzed 117 nontranslocation-related Conclusions: TRIO fusions have been identified in four -
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