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RSF1 Regulates the Proliferation and Paclitaxel Resistance Via Modulating
Journal of Cancer 2017, Vol. 8 354 Ivyspring International Publisher Journal of Cancer 2017; 8(3): 354-362. doi: 10.7150/jca.16720 Research Paper RSF1 regulates the proliferation and paclitaxel resistance via modulating NF-κB signaling pathway in nasopharyngeal carcinoma Yong Liu1,2, Guo Li1,2, Chao Liu1,2, Yaoyun Tang1,2, Shuai Zhang1,2 1. Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, Xiangya Road 87, Changsha 410008, Hunan, China. 2. Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, 410008, Hunan, China. Corresponding author: Shuai Zhang, Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha 410008, Hunan, China. Tel.: +86073184327469; Fax: +86073184327469; E-mail: [email protected] (Zhang Shuai). © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2016.07.04; Accepted: 2016.10.15; Published: 2017.02.09 Abstract Purpose: Aberrant expression and dysfunction of RSF1 has been reported in diverse human malignancies. However, its exact role in nasopharyngeal carcinoma (NPC) remains unclear. Methods: The expression of RSF1 mRNA and protein were assayed by qRT-PCR and western blotting, and their correlations with clinicopathological parameters of patients with NPC were further analysed. Lentivirus mediated RSF1 shRNA and RSF1 cDNA were used to knockdown and upregulate the expression of RSF1. CCK8 assays and flow cytometry were applied to monitor the changes of proliferation and paclitaxel sensitivity caused by RSF1 modulation, inhibition of NF-κB pathway by inhibitor Bay 11-7082 and Survivin knockdown. -
Wo 2010/075007 A2
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date 1 July 2010 (01.07.2010) WO 2010/075007 A2 (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every C12Q 1/68 (2006.01) G06F 19/00 (2006.01) kind of national protection available): AE, AG, AL, AM, C12N 15/12 (2006.01) AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, (21) International Application Number: DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, PCT/US2009/067757 HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, (22) International Filing Date: KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, 11 December 2009 ( 11.12.2009) ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PE, PG, PH, PL, PT, RO, RS, RU, SC, SD, (25) Filing Language: English SE, SG, SK, SL, SM, ST, SV, SY, TJ, TM, TN, TR, TT, (26) Publication Language: English TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (30) Priority Data: (84) Designated States (unless otherwise indicated, for every 12/3 16,877 16 December 2008 (16.12.2008) US kind of regional protection available): ARIPO (BW, GH, GM, KE, LS, MW, MZ, NA, SD, SL, SZ, TZ, UG, ZM, (71) Applicant (for all designated States except US): DODDS, ZW), Eurasian (AM, AZ, BY, KG, KZ, MD, RU, TJ, W., Jean [US/US]; 938 Stanford Street, Santa Monica, TM), European (AT, BE, BG, CH, CY, CZ, DE, DK, EE, CA 90403 (US). -
CREST Monoclonal ANTIBODY Catalog Number:60314-1-Ig
For Research Use Only CREST Monoclonal ANTIBODY www.ptglab.com Catalog Number:60314-1-Ig Catalog Number: GenBank Accession Number: Purification Method: Basic Information 60314-1-Ig BC034494 Protein G purification Size: GeneID (NCBI): CloneNo.: 150UL , Concentration: 1000 μg/ml by 26039 3D5D10 Bradford method using BSA as the Full Name: standard; synovial sarcoma translocation gene Source: on chromosome 18-like 1 Mouse Calculated MW: Isotype: 396 aa, 43 kDa IgG1 Observed MW: Immunogen Catalog Number: 50 kDa AG3119 Tested Applications: Applications WB, ELISA Species Specificity: human, rat, mouse SS18-like 1(SS18L1) is a transcriptional activator that is required for calcium-dependent dendritic growth and Background Information branching in cortical neurons. It's also a nuclear protein interacts with CREB-binding protein and expressed in the developing brain. It helps regulate neuronal morphogenesis in calcuim-dependent manner. The N-terminal domain of SS18L1 is required for suppressing transactivation in the basal state, while the C-terminal domain is required for calcium-induced transactivation. It's part of the CREST-BRG1 complex, a multiprotein complex that regulates promoter activation by orchestrating a calcium-dependent release of a repressor complex and a recruitment of an activator complex. This complex also binds to the NR2B promoter, and activity-dependent induction of NR2B expression involves a release of HDAC1 and recruitment of CREBBP. The calculated molecular weight of CREST is about 43 kDa, but the modified of CREST protein is 55 kDa (PMID: 25888396). Storage: Storage Store at -20°C. Stable for one year after shipment. Storage Buffer: PBS with 0.02% sodium azide and 50% glycerol pH 7.3. -
UNIVERSITY of CALIFORNIA, SAN DIEGO Functional Analysis of Sall4
UNIVERSITY OF CALIFORNIA, SAN DIEGO Functional analysis of Sall4 in modulating embryonic stem cell fate A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Molecular Pathology by Pei Jen A. Lee Committee in charge: Professor Steven Briggs, Chair Professor Geoff Rosenfeld, Co-Chair Professor Alexander Hoffmann Professor Randall Johnson Professor Mark Mercola 2009 Copyright Pei Jen A. Lee, 2009 All rights reserved. The dissertation of Pei Jen A. Lee is approved, and it is acceptable in quality and form for publication on microfilm and electronically: ______________________________________________________________ ______________________________________________________________ ______________________________________________________________ ______________________________________________________________ Co-Chair ______________________________________________________________ Chair University of California, San Diego 2009 iii Dedicated to my parents, my brother ,and my husband for their love and support iv Table of Contents Signature Page……………………………………………………………………….…iii Dedication…...…………………………………………………………………………..iv Table of Contents……………………………………………………………………….v List of Figures…………………………………………………………………………...vi List of Tables………………………………………………….………………………...ix Curriculum vitae…………………………………………………………………………x Acknowledgement………………………………………………….……….……..…...xi Abstract………………………………………………………………..…………….....xiii Chapter 1 Introduction ..…………………………………………………………………………….1 Chapter 2 Materials and Methods……………………………………………………………..…12 -
High-Density P300 Enhancers Control Cell State Transitions Steven Witte1,2, Allan Bradley2, Anton J
Witte et al. BMC Genomics (2015) 16:903 DOI 10.1186/s12864-015-1905-6 RESEARCH ARTICLE Open Access High-density P300 enhancers control cell state transitions Steven Witte1,2, Allan Bradley2, Anton J. Enright3* and Stefan A. Muljo1* Abstract Background: Transcriptional enhancers are frequently bound by a set of transcription factors that collaborate to activate lineage-specific gene expression. Recently, it was appreciated that a subset of enhancers comprise extended clusters dubbed stretch- or super-enhancers (SEs). These SEs are located near key cell identity genes, and enriched for non-coding genetic variations associated with disease. Previously, SEs have been defined as having the highest density of Med1, Brd4 or H3K27ac by ChIP-seq. The histone acetyltransferase P300 has been used as a marker of enhancers, but little is known about its binding to SEs. Results: We establish that P300 marks a similar SE repertoire in embryonic stem cells as previously reported using Med1 and H3K27ac. We also exemplify a role for SEs in mouse T helper cell fate decision. Similarly, upon activation of macrophages by bacterial endotoxin, we found that many SE-associated genes encode inflammatory proteins that are strongly up-regulated. These SEs arise from small, low-density enhancers in unstimulated macrophages. We also identified expression quantitative trait loci (eQTL) in human monocytes that lie within such SEs. In macrophages and Th17 cells, inflammatory SEs can be perturbed either genetically or pharmacologically thus revealing new avenues to target inflammation. Conclusions: Our findings support the notion that P300-marked SEs can help identify key nodes of transcriptional control during cell fate decisions. -
Multivariate Meta-Analysis of Differential Principal Components Underlying Human Primed and Naive-Like Pluripotent States
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.20.347666; this version posted October 21, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license. October 20, 2020 To: bioRxiv Multivariate Meta-Analysis of Differential Principal Components underlying Human Primed and Naive-like Pluripotent States Kory R. Johnson1*, Barbara S. Mallon2, Yang C. Fann1, and Kevin G. Chen2*, 1Intramural IT and Bioinformatics Program, 2NIH Stem Cell Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 20892, USA Keywords: human pluripotent stem cells; naive pluripotency, meta-analysis, principal component analysis, t-SNE, consensus clustering *Correspondence to: Dr. Kory R. Johnson ([email protected]) Dr. Kevin G. Chen ([email protected]) 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.10.20.347666; this version posted October 21, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license. ABSTRACT The ground or naive pluripotent state of human pluripotent stem cells (hPSCs), which was initially established in mouse embryonic stem cells (mESCs), is an emerging and tentative concept. To verify this important concept in hPSCs, we performed a multivariate meta-analysis of major hPSC datasets via the combined analytic powers of percentile normalization, principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE), and SC3 consensus clustering. -
HSF1 Polyclonal Antibody Catalog # AP70419
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 HSF1 Polyclonal Antibody Catalog # AP70419 Specification HSF1 Polyclonal Antibody - Product Information Application WB Primary Accession Q00613 Reactivity Human, Mouse Host Rabbit Clonality Polyclonal HSF1 Polyclonal Antibody - Additional Information Gene ID 3297 Other Names HSF1; HSTF1; Heat shock factor protein 1; HSF 1; Heat shock transcription factor 1; HSTF 1 Dilution WB~~Western Blot: 1/500 - 1/2000. Immunohistochemistry: 1/100 - 1/300. HSF1 Polyclonal Antibody - Background Immunofluorescence: 1/200 - 1/1000. ELISA: 1/10000. Not yet tested in other Function as a stress-inducible and applications. DNA-binding transcription factor that plays a central role in the transcriptional activation of Format the heat shock response (HSR), leading to the Liquid in PBS containing 50% glycerol, 0.5% expression of a large class of molecular BSA and 0.02% sodium azide. chaperones heat shock proteins (HSPs) that protect cells from cellular insults' damage Storage Conditions -20℃ (PubMed:1871105, PubMed:11447121, PubMed:1986252, PubMed:7760831, PubMed:7623826, PubMed:8946918, PubMed:8940068, PubMed:9341107, HSF1 Polyclonal Antibody - Protein Information PubMed:9121459, PubMed:9727490, PubMed:9499401, PubMed:9535852, Name HSF1 (HGNC:5224) PubMed:12659875, PubMed:12917326, PubMed:15016915, PubMed:25963659, Synonyms HSTF1 PubMed:26754925). In unstressed cells, is present in a HSP90-containing multichaperone Function complex that maintains it in a non-DNA-binding Functions -
A Novel FISH Assay for SS18–SSX Fusion Type in Synovial Sarcoma
Laboratory Investigation (2004) 84, 1185–1192 & 2004 USCAP, Inc All rights reserved 0023-6837/04 $30.00 www.laboratoryinvestigation.org A novel FISH assay for SS18–SSX fusion type in synovial sarcoma Cecilia Surace1,2, Ioannis Panagopoulos1, Eva Pa˚lsson1, Mariano Rocchi2, Nils Mandahl1 and Fredrik Mertens1 1Department of Clinical Genetics, Lund University Hospital, Lund, Sweden and 2DAPEG, Section of Genetics, University of Bari, Bari, Italy Synovial sarcoma is a morphologically, clinically and genetically distinct entity that accounts for 5–10% of all soft tissue sarcomas. The t(X;18)(p11.2;q11.2) is the cytogenetic hallmark of synovial sarcoma and is present in more than 90% of the cases. It produces three types of fusion gene formed in part by SS18 from chromosome 18 and by SSX1, SSX2 or, rarely, SSX4 from the X chromosome. The SS18–SSX fusions do not seem to occur in other tumor types, and it has been shown that in synovial sarcoma a clear correlation exists between the type of fusion gene and histologic subtype and, more importantly, clinical outcome. Previous analyses regarding the type of fusion genes have been based on PCR amplification of the fusion transcript, requiring access to good- quality RNA. In order to obtain an alternative tool to diagnose and follow this malignancy, we developed a fluorescence in situ hybridization (FISH) assay that could distinguish between the two most common fusion genes, that is, SS18–SSX1 and SS18–SSX2. The specificity of the selected bacterial artificial chromosome clones used in the detection of these fusion genes, as well as the sensitivity of the analysis in metaphase and interphase cells, was examined in a series of 28 synovial sarcoma samples with known fusion gene status. -
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. -
RNA Editing at Baseline and Following Endoplasmic Reticulum Stress
RNA Editing at Baseline and Following Endoplasmic Reticulum Stress By Allison Leigh Richards A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Human Genetics) in The University of Michigan 2015 Doctoral Committee: Professor Vivian G. Cheung, Chair Assistant Professor Santhi K. Ganesh Professor David Ginsburg Professor Daniel J. Klionsky Dedication To my father, mother, and Matt without whom I would never have made it ii Acknowledgements Thank you first and foremost to my dissertation mentor, Dr. Vivian Cheung. I have learned so much from you over the past several years including presentation skills such as never sighing and never saying “as you can see…” You have taught me how to think outside the box and how to create and explain my story to others. I would not be where I am today without your help and guidance. Thank you to the members of my dissertation committee (Drs. Santhi Ganesh, David Ginsburg and Daniel Klionsky) for all of your advice and support. I would also like to thank the entire Human Genetics Program, and especially JoAnn Sekiguchi and Karen Grahl, for welcoming me to the University of Michigan and making my transition so much easier. Thank you to Michael Boehnke and the Genome Science Training Program for supporting my work. A very special thank you to all of the members of the Cheung lab, past and present. Thank you to Xiaorong Wang for all of your help from the bench to advice on my career. Thank you to Zhengwei Zhu who has helped me immensely throughout my thesis even through my panic. -
1A Multiple Sclerosis Treatment
The Pharmacogenomics Journal (2012) 12, 134–146 & 2012 Macmillan Publishers Limited. All rights reserved 1470-269X/12 www.nature.com/tpj ORIGINAL ARTICLE Network analysis of transcriptional regulation in response to intramuscular interferon-b-1a multiple sclerosis treatment M Hecker1,2, RH Goertsches2,3, Interferon-b (IFN-b) is one of the major drugs for multiple sclerosis (MS) 3 2 treatment. The purpose of this study was to characterize the transcriptional C Fatum , D Koczan , effects induced by intramuscular IFN-b-1a therapy in patients with relapsing– 2 1 H-J Thiesen , R Guthke remitting form of MS. By using Affymetrix DNA microarrays, we obtained and UK Zettl3 genome-wide expression profiles of peripheral blood mononuclear cells of 24 MS patients within the first 4 weeks of IFN-b administration. We identified 1Leibniz Institute for Natural Product Research 121 genes that were significantly up- or downregulated compared with and Infection Biology—Hans-Knoell-Institute, baseline, with stronger changed expression at 1 week after start of therapy. Jena, Germany; 2University of Rostock, Institute of Immunology, Rostock, Germany and Eleven transcription factor-binding sites (TFBS) are overrepresented in the 3University of Rostock, Department of Neurology, regulatory regions of these genes, including those of IFN regulatory factors Rostock, Germany and NF-kB. We then applied TFBS-integrating least angle regression, a novel integrative algorithm for deriving gene regulatory networks from gene Correspondence: M Hecker, Leibniz Institute for Natural Product expression data and TFBS information, to reconstruct the underlying network Research and Infection Biology—Hans-Knoell- of molecular interactions. An NF-kB-centered sub-network of genes was Institute, Beutenbergstr. -
1 Mutational Heterogeneity in Cancer Akash Kumar a Dissertation
Mutational Heterogeneity in Cancer Akash Kumar A dissertation Submitted in partial fulfillment of requirements for the degree of Doctor of Philosophy University of Washington 2014 June 5 Reading Committee: Jay Shendure Pete Nelson Mary Claire King Program Authorized to Offer Degree: Genome Sciences 1 University of Washington ABSTRACT Mutational Heterogeneity in Cancer Akash Kumar Chair of the Supervisory Committee: Associate Professor Jay Shendure Department of Genome Sciences Somatic mutation plays a key role in the formation and progression of cancer. Differences in mutation patterns likely explain much of the heterogeneity seen in prognosis and treatment response among patients. Recent advances in massively parallel sequencing have greatly expanded our capability to investigate somatic mutation. Genomic profiling of tumor biopsies could guide the administration of targeted therapeutics on the basis of the tumor’s collection of mutations. Central to the success of this approach is the general applicability of targeted therapies to a patient’s entire tumor burden. This requires a better understanding of the genomic heterogeneity present both within individual tumors (intratumoral) and amongst tumors from the same patient (intrapatient). My dissertation is broadly organized around investigating mutational heterogeneity in cancer. Three projects are discussed in detail: analysis of (1) interpatient and (2) intrapatient heterogeneity in men with disseminated prostate cancer, and (3) investigation of regional intratumoral heterogeneity in