Phenotypic and Molecular Characterization of Cataract
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Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Environmental Influences on Endothelial Gene Expression
ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community. -
Targeting Lineage-Specific MITF Pathway in Human Melanoma Cell Lines by A-485, the Selective Small Molecule Inhibitor of P300/CBP
Author Manuscript Published OnlineFirst on September 28, 2018; DOI: 10.1158/1535-7163.MCT-18-0511 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Targeting lineage-specific MITF pathway in human melanoma cell lines by A-485, the selective small molecule inhibitor of p300/CBP Rui Wang1,2, Yupeng He1, Valerie Robinson1, Ziping Yang1, Paul Hessler1, Loren M. Lasko1, Xin Lu1, Anahita Bhathena1, Albert Lai1, Tamar Uziel1, Lloyd T. Lam1,3 1Oncology Discovery, AbbVie, 1 N Waukegan Road, North Chicago, IL 60064-6101, USA. 2Former AbbVie employee Running title: p300/CBP inhibition targets MITF in melanoma cell lines Keywords: p300/CBP inhibitor, melanoma, MITF, A-485, senescence Word count: 3,040 (excluding the abstract, references and legends) References: 29 3Correspondence: Lloyd T. Lam, Oncology Discovery, AP10-214, Dept. R4CD 1 North Waukegan Road North Chicago, IL 60064-6098, USA. Phone: 847-937-5585 Fax: 847-935-4994 E-mail: [email protected] Financial information Y.H., V.R., Z.Y., P.H., L.M.L., X.L, A.B., A.L., T.U., L.T.L. are employees of AbbVie. R.W. was an employee of AbbVie at the time of the study. The design, study conduct, and financial support for this research were provided by AbbVie. AbbVie participated in the interpretation of data, review, and approval of the manuscript. R.W., Y.H., V.R., Z.Y., P.H., L.M.L., X.L, A.B., A.L., T.U., L.T.L. have nothing to disclose. Downloaded from mct.aacrjournals.org on September 27, 2021. -
TACC1–Chtog–Aurora a Protein Complex in Breast Cancer
Oncogene (2003) 22, 8102–8116 & 2003 Nature Publishing Group All rights reserved 0950-9232/03 $25.00 www.nature.com/onc TACC1–chTOG–Aurora A protein complex in breast cancer Nathalie Conte1,Be´ ne´ dicte Delaval1, Christophe Ginestier1, Alexia Ferrand1, Daniel Isnardon2, Christian Larroque3, Claude Prigent4, Bertrand Se´ raphin5, Jocelyne Jacquemier1 and Daniel Birnbaum*,1 1Department of Molecular Oncology, U119 Inserm, Institut Paoli-Calmettes, IFR57, Marseille, France; 2Imaging Core Facility, Institut Paoli-Calmettes, Marseille, France; 3E229 Inserm, CRLC Val d’Aurelle/Paul Lamarque, Montpellier, France; 4Laboratoire du cycle cellulaire, UMR 6061 CNRS, IFR 97, Faculte´ de Me´decine, Rennes, France; 5Centre de Ge´ne´tique Mole´culaire, Gif-sur-Yvette, France The three human TACC (transforming acidic coiled-coil) metabolism, including mitosis and intracellular trans- genes encode a family of proteins with poorly defined port of molecules, is progressing but many components functions that are suspected to play a role in oncogenesis. remain to be discovered and characterized. We describe A Xenopus TACC homolog called Maskin is involved in here the interaction of the TACC1 protein with several translational control, while Drosophila D-TACC interacts protein partners that makes it a good candidate to with the microtubule-associated protein MSPS (Mini participate in microtubule-associated processes in nor- SPindleS) to ensure proper dynamics of spindle pole mal and tumoral cells. microtubules during cell division. We have delineated here In -
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). -
Figure S1. Representative Report Generated by the Ion Torrent System Server for Each of the KCC71 Panel Analysis and Pcafusion Analysis
Figure S1. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. A Figure S1. Continued. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. B Figure S2. Comparative analysis of the variant frequency found by the KCC71 panel and calculated from publicly available cBioPortal datasets. For each of the 71 genes in the KCC71 panel, the frequency of variants was calculated as the variant number found in the examined cases. Datasets marked with different colors and sample numbers of prostate cancer are presented in the upper right. *Significantly high in the present study. Figure S3. Seven subnetworks extracted from each of seven public prostate cancer gene networks in TCNG (Table SVI). Blue dots represent genes that include initial seed genes (parent nodes), and parent‑child and child‑grandchild genes in the network. Graphical representation of node‑to‑node associations and subnetwork structures that differed among and were unique to each of the seven subnetworks. TCNG, The Cancer Network Galaxy. Figure S4. REVIGO tree map showing the predicted biological processes of prostate cancer in the Japanese. Each rectangle represents a biological function in terms of a Gene Ontology (GO) term, with the size adjusted to represent the P‑value of the GO term in the underlying GO term database. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Identification of Differentially Expressed
IDENTIFICATION OF DIFFERENTIALLY EXPRESSED TRANSCRIPTS OF Tdrd7 NULL MUTANT MOUSE LENS by Shaili D. Patel A thesis submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Degree in Biological Sciences in Arts and Sciences with Distinction Spring 2014 Copyrights 2014 Shaili D. Patel All Rights Reserved IDENTIFICATION OF DIFFERENTIALLY EXPRESSED TRANSCRIPTS OF Tdrd7 NULL MUTANT MOUSE LENS by Shaili D. Patel Approved: __________________________________________________________ Dr. Salil A. Lachke, PhD., Professor in charge of thesis on behalf of the Advisory Committee Approved: __________________________________________________________ Dr. Jeffery L. Caplan, PhD., Committee member from the Department of Delaware Biotechnology Institute Approved: __________________________________________________________ Dr. Rolf Joerger, PhD., Committee member from the Board of Senior Thesis Readers Approved: __________________________________________________________ Michelle Provost-Craig, Ph.D. Chair of the University Committee on Student and Faculty Honors ACKNOWLEDGMENTS First and foremost, I would like to thank Dr. Lachke, without whom this project would’ve been impossible. Thank you soooo much Dr. Lachke, I really hope I can be ten percent of what you are as a person. Additionally, I want to thank you for making such a big difference in my career, I am very thankful for that. Thank you mom and daddy for the roots and wings. Thank you Parth for being there every single day when I was finishing up my experiments and thesis, you were a great mental support and for being such a good friend. I would specially like to thank Carrie Barnum, who trained me in this lab. I will be taking all these lab skills to where I go in future, thanks a ton for that Carrie, and thank you for the little treats every once in a while; they were a great power booster J. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
The Tudor Domain Protein Tapas, a Homolog of the Vertebrate Tdrd7, Functions in the Pirna Pathway to Regulate Retrotransposons in Germline of Drosophila Melanogaster
This document is downloaded from DR‑NTU (https://dr.ntu.edu.sg) Nanyang Technological University, Singapore. The Tudor domain protein Tapas, a homolog of the vertebrate Tdrd7, functions in the piRNA pathway to regulate retrotransposons in germline of Drosophila melanogaster Patil, Veena S.; Anand, Amit; Chakrabarti, Alisha; Kai, Toshie 2014 Patil, V. S., Anand, A., Chakrabarti, A., & Kai, T. (2014). The Tudor domain protein Tapas, a homolog of the vertebrate Tdrd7, functions in the piRNA pathway to regulate retrotransposons in germline of Drosophila melanogaster. BMC Biology, 12, 61‑. https://hdl.handle.net/10356/84728 https://doi.org/10.1186/s12915‑014‑0061‑9 © 2014 Patil et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Downloaded on 25 Sep 2021 01:20:27 SGT Patil et al. BMC Biology 2014, 12:61 http://www.biomedcentral.com/1741-7007/12/61 RESEARCH ARTICLE Open Access The Tudor domain protein Tapas, a homolog of the vertebrate Tdrd7, functions in the piRNA pathway to regulate retrotransposons in germline of Drosophila melanogaster Veena S Patil1,4†, Amit Anand1†, Alisha Chakrabarti1,3 and Toshie Kai1,2* Abstract Background: Piwi-interacting RNAs (piRNAs) are a special class of small RNAs that provide defense against transposable elements in animal germline cells. -
Gene Section Review
Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL AT INIST-CNRS Gene Section Review TACC1 (transforming, acidic coiled-coil containing protein 1) Ivan Still, Melissa R Eslinger, Brenda Lauffart Department of Biological Sciences, Arkansas Tech University, 1701 N Boulder Ave Russellville, AR 72801, USA (IS), Department of Chemistry and Life Science Bartlett Hall, United States Military Academy, West Point, New York 10996, USA (MRE), Department of Physical Sciences Arkansas Tech University, 1701 N Boulder Ave Russellville, AR 72801, USA (BL) Published in Atlas Database: December 2008 Online updated version : http://AtlasGeneticsOncology.org/Genes/TACC1ID42456ch8p11.html DOI: 10.4267/2042/44620 This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 France Licence. © 2009 Atlas of Genetics and Cytogenetics in Oncology and Haematology Identity Note: - AK304507 and AK303596 sequences may be suspect Other names: Ga55; DKFZp686K18126; KIAA1103 (see UCSC Genome Bioinformatics Site HGNC (Hugo): TACC1 (http://genome.ucsc.edu) for more details. - Transcript/isoform nomenclature as per Line et al, Location: 8p11.23 2002 and Lauffart et al., 2006. TACC1F transcript Note: This gene has three proposed transcription start includes exon 1, 2 and 3 (correction to Fig 6 of Lauffart sites beginning at 38763938 bp, 38733914 bp, et al., 2006). 38705165 bp from pter. Pseudogene DNA/RNA Partially processed pseudogene: - 91% identity corresponding to base 596 to 2157 of Description AF049910. The gene is composed of 19 exons spanning 124.5 kb. Location: 10p11.21. Location base pair: starts at 37851943 and ends at Transcription 37873633 from pter (according to hg18-March_2006). -
Physiological and Pathophysiological Regulation of the Ryanodine Receptor in Skeletal Muscle
Physiological and pathophysiological regulation of the ryanodine receptor in skeletal muscle Alisa Umanskaya Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2015 © 2015 Alisa Umanskaya All rights reserved Abstract Physiological and pathophysiological regulation of ryanodine receptor in skeletal muscle Alisa Umanskaya Ryanodine receptor calcium release channels are essential for skeletal muscle contraction, as they mediate the release of calcium ions from intracellular stores into the cytosol. The data presented in this dissertation demonstrate the evolutionarily conserved mechanisms of skeletal muscle ryanodine receptor regulation in the physiological and pathophysiological states. Adrenergic stimulation causes increased skeletal muscle force, however, despite the well- established role of this physiological response, the molecular mechanism is not known. Here we present a mechanism whereby phosphorylation of a single amino acid on the ryanodine receptor is a key signal in the physiological stress-induced inotropic response in mouse skeletal muscle. Therefore acute post-translational modifications of ryanodine receptor channels are important for healthy muscle contraction. Conversely, chronic stress-induced post-translational modifications result in poorly functioning murine ryanodine receptor channels that contribute to skeletal muscle dysfunction in age- dependent skeletal muscle weakness and Muscular Dystrophies. Finally, we present data that demonstrates striking evolutionary conservation in ryanodine receptor regulation in the physiological and pathophysiological states between mice and C. elegans. This work has broad implications for understanding the underlying mechanisms of skeletal muscle contraction and important disorders that affect human health. Furthermore, this works presents ryanodine receptor channels as a viable therapeutic target for age-related skeletal muscle weakness, Muscular Dystrophies, and also implicates C.