A Dual-Strategy Expression Screen for Candidate Connectivity Labels in the Developing Thalamus
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Legends for Supplemental Figures and Tables Figure S1. Expression of Tlx during retinogenesis. (A) Staged embryos were stained for β- galactosidase knocked into the Tlx locus to indicate Tlx expression. Tlx was expressed in the neural blast layer in the early phase of neural retina development (blue signal). (B) Expression of Tlx in neural retina was quantified using Q-PCR at multiple developmental stages. Figure S2. Expression of p27kip1 and cyclin D1 (Ccnd1) at various developmental stages in wild-type or Tlx-/- retinas. (A) Q-PCR analysis of p27kip1 mRNA expression. (B) Western blotting analysis of p27kip1 protein expression. (C) Q-PCR analysis of cyclin D1 mRNA expression. Figure S3. Q-PCR analysis of mRNA expression of Sf1 (A), Lrh1 (B), and Atn1 (C) in wild-type mouse retinas. RNAs from testis and liver were used as controls. Table S1. List of genes dysregulated both at E15.5 and P0 Tlx-/- retinas. Gene E15.5 P0 Cluste Gene Title Fold Fold r Name p-value p-value Change Change nuclear receptor subfamily 0, group B, Nr0b1 1.65 0.0024 2.99 0.0035 member 1 1 Pou4f3 1.91 0.0162 2.39 0.0031 POU domain, class 4, transcription factor 3 1 Tcfap2d 2.18 0.0000 2.37 0.0001 transcription factor AP-2, delta 1 Zic5 1.66 0.0002 2.02 0.0218 zinc finger protein of the cerebellum 5 1 Zfpm1 1.85 0.0030 1.88 0.0025 zinc finger protein, multitype 1 1 Pten 1.60 0.0155 1.82 0.0131 phospatase and tensin homolog 2 Itgb5 -1.85 0.0063 -1.85 0.0007 integrin beta 5 2 Gpr49 6.86 0.0001 15.16 0.0001 G protein-coupled receptor 49 3 Cmkor1 2.60 0.0007 2.72 0.0013 -
Supplemental Figure 1. Vimentin
Double mutant specific genes Transcript gene_assignment Gene Symbol RefSeq FDR Fold- FDR Fold- FDR Fold- ID (single vs. Change (double Change (double Change wt) (single vs. wt) (double vs. single) (double vs. wt) vs. wt) vs. single) 10485013 BC085239 // 1110051M20Rik // RIKEN cDNA 1110051M20 gene // 2 E1 // 228356 /// NM 1110051M20Ri BC085239 0.164013 -1.38517 0.0345128 -2.24228 0.154535 -1.61877 k 10358717 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 /// BC 1700025G04Rik NM_197990 0.142593 -1.37878 0.0212926 -3.13385 0.093068 -2.27291 10358713 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 1700025G04Rik NM_197990 0.0655213 -1.71563 0.0222468 -2.32498 0.166843 -1.35517 10481312 NM_027283 // 1700026L06Rik // RIKEN cDNA 1700026L06 gene // 2 A3 // 69987 /// EN 1700026L06Rik NM_027283 0.0503754 -1.46385 0.0140999 -2.19537 0.0825609 -1.49972 10351465 BC150846 // 1700084C01Rik // RIKEN cDNA 1700084C01 gene // 1 H3 // 78465 /// NM_ 1700084C01Rik BC150846 0.107391 -1.5916 0.0385418 -2.05801 0.295457 -1.29305 10569654 AK007416 // 1810010D01Rik // RIKEN cDNA 1810010D01 gene // 7 F5 // 381935 /// XR 1810010D01Rik AK007416 0.145576 1.69432 0.0476957 2.51662 0.288571 1.48533 10508883 NM_001083916 // 1810019J16Rik // RIKEN cDNA 1810019J16 gene // 4 D2.3 // 69073 / 1810019J16Rik NM_001083916 0.0533206 1.57139 0.0145433 2.56417 0.0836674 1.63179 10585282 ENSMUST00000050829 // 2010007H06Rik // RIKEN cDNA 2010007H06 gene // --- // 6984 2010007H06Rik ENSMUST00000050829 0.129914 -1.71998 0.0434862 -2.51672 -
RNA Isolation and Real-Time PCR Analysis
Pleiotrophin deletion alters glucose homeostasis, energy metabolism and brown fat thermogenic function. Sevillano, Julio1#; Sánchez-Alonso, María Gracia1#; Zapatería, Begoña1; Calderón, María1; Alcalá, Martín1, Limones, María1; Pita, Jimena1; Gramage, Esther2; Vicente- Rodríguez, Marta2; Horrillo, Daniel4; Medina-Gómez, Gema4; Obregón, María Jesús5; Viana, Marta1; Valladolid-Acebes, Ismael3, Herradón, Gonzalo2, Ramos, María del Pilar1*. Affiliations 1Department of Chemistry and Biochemistry, Facultad de Farmacia, Universidad CEU San Pablo, Madrid, Spain. 2Department of Pharmaceutical and Health Sciences, Facultad de Farmacia, Universidad CEU San Pablo, Madrid, Spain. 3The Rolf Luft Research Center for Diabetes and Endocrinology, Department of Molecular Medicine and Surgery, Karolinska Institutet, 171 76, Stockholm, Sweden 4Department of Basic Sciences of Health. Universidad Rey Juan Carlos. Alcorcón. Madrid. Spain. 5Department of Endocrine and Nervous System Pathophysiology, Instituto de Investigaciones Biomédicas “Alberto Sols”, Consejo Superior de Investigaciones Científicas (CSIC)-Universidad Autónoma de Madrid (UAM), Madrid, Spain. Keywords: Glucose homeostasis; Metabolism; Adipose tissue; Insulin resistance, Thermogenesis. *To whom correspondence should be addressed: Mª del Pilar Ramos Álvarez, PhD. Department of Chemistry and Biochemistry Facultad de Farmacia, Universidad CEU San Pablo Ctra. Boadilla del Monte km 5,3 28668, Madrid 1 +34-91-3724760 [email protected] Additional Title Page Footnotes #Co-first authors This study was supported by Spanish Ministry of Economy and Competitiveness (SAF2010-19603 and SAF2014-56671-R, SAF2012-32491, BFU2013-47384-R and BFU2016-78951-R) and Community of Madrid (S2010/BMD-2423, S2017/BMD-3864). Running Title: PLEITROPHIN AND ENERGY METABOLISM Aims/hypothesis: Pleiotrophin, a developmentally regulated and highly conserved cytokine, exerts different functions including regulation of cell growth, migration and survival. -
Pleiotrophin Is a Neurotrophic Factor for Spinal Motor Neurons
Pleiotrophin is a neurotrophic factor for spinal motor neurons Ruifa Mi, Weiran Chen, and Ahmet Ho¨ ke* Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21287 Edited by Thomas M. Jessell, Columbia University Medical Center, New York, NY, and approved January 18, 2007 (received for review April 21, 2006) Regeneration in the peripheral nervous system is poor after chronic facial motor neurons against cell death induced by deprivation from denervation. Denervated Schwann cells act as a ‘‘transient target’’ target-derived neurotrophic support. by secreting growth factors to promote regeneration of axons but lose this ability with chronic denervation. We discovered that the Results mRNA for pleiotrophin (PTN) was highly up-regulated in acutely PTN Is Up-Regulated in Denervated Schwann Cells and Muscle After denervated distal sciatic nerves, but high levels of PTN mRNA were Axotomy. To identify candidate neurotrophic factors underlying not maintained in chronically denervated nerves. PTN protected adaptive responses to chronic nerve degeneration, we used focused spinal motor neurons against chronic excitotoxic injury and caused cDNA microarrays to investigate the gene expression of neurotro- increased outgrowth of motor axons out of the spinal cord ex- phic factors in denervated Schwann cells. In microarray experi- plants and formation of ‘‘miniventral rootlets.’’ In neonatal mice, ments, 2 and 7 days after the sciatic nerve transection, PTN mRNA PTN protected the facial motor neurons against cell death induced was up-regulated in the distal denervated segments compared with by deprivation from target-derived growth factors. Similarly, PTN the contralateral side (data not shown). To confirm the up- significantly enhanced regeneration of myelinated axons across a regulation of the PTN mRNA observed in the microarray analysis graft in the transected sciatic nerve of adult rats. -
Pleiotrophin Regulates the Ductular Reaction by Controlling the Migration
Gut Online First, published on March 10, 2015 as 10.1136/gutjnl-2014-308176 Hepatology ORIGINAL ARTICLE Gut: first published as 10.1136/gutjnl-2014-308176 on 16 January 2015. Downloaded from Pleiotrophin regulates the ductular reaction by controlling the migration of cells in liver progenitor niches Gregory A Michelotti,1 Anikia Tucker,1 Marzena Swiderska-Syn,1 Mariana Verdelho Machado,1 Steve S Choi,1,2 Leandi Kruger,1 Erik Soderblom,3 J Will Thompson,3 Meredith Mayer-Salman,3 Heather A Himburg,4 Cynthia A Moylan,1,2 Cynthia D Guy,5 Katherine S Garman,1,2 Richard T Premont,1 John P Chute,4 Anna Mae Diehl1 ▸ Additional material is ABSTRACT published online only. To view Objective The ductular reaction (DR) involves Significance of this study please visit the journal online (http://dx.doi.org/10.1136/ mobilisation of reactive-appearing duct-like cells (RDC) gutjnl-2014-308176). along canals of Hering, and myofibroblastic (MF) differentiation of hepatic stellate cells (HSC) in the space 1Division of Gastroenterology, What is already known about this subject? Duke University, Durham, of Disse. Perivascular cells in stem cell niches produce ▸ Various types of liver injury promote a ductular North Carolina, USA pleiotrophin (PTN) to inactivate the PTN receptor, protein reaction (DR) characterised by the periportal 2Section of Gastroenterology, tyrosine phosphatase receptor zeta-1 (PTPRZ1), thereby accumulation of small ductules, myofibroblasts Durham Veterans Affairs augmenting phosphoprotein-dependent signalling. We and collagen matrix. Medical Center, Durham, ▸ Pleiotrophin (PTN) is a heparin-binding growth North Carolina, USA hypothesised that the DR is regulated by PTN/PTPRZ1 3Proteomics Center, signalling. -
Gene Expression Profiles of Estrogen Receptor–Positive and Estrogen Receptor–Negative Breast Cancers Are Detectable in Histologically Normal Breast Epithelium
Published OnlineFirst November 8, 2010; DOI: 10.1158/1078-0432.CCR-10-1369 Clinical Cancer Human Cancer Biology Research Gene Expression Profiles of Estrogen Receptor–Positive and Estrogen Receptor–Negative Breast Cancers Are Detectable in Histologically Normal Breast Epithelium Kelly Graham1, Xijin Ge4, Antonio de las Morenas2, Anusri Tripathi3, and Carol L. Rosenberg1,2,3 Abstract Purpose: Previously, we found that gene expression in histologically normal breast epithelium (NlEpi) from women at high breast cancer risk can resemble gene expression in NlEpi from cancer-containing breasts. Therefore, we hypothesized that gene expression characteristic of a cancer subtype might be seen in NlEpi of breasts containing that subtype. Experimental Design: We examined gene expression in 46 cases of microdissected NlEpi from untreated women undergoing breast cancer surgery. From 30 age-matched cases [15 estrogen receptor (ER)þ,15ERÀ] we used Affymetryix U133A arrays. From 16 independent cases (9 ERþ,7ERÀ), we validated selected genes using quantitative real-time PCR (qPCR). We then compared gene expression between NlEpi and invasive breast cancer using four publicly available data sets. Results: We identified 198 genes that are differentially expressed between NlEpi from breasts with ERþ (NlEpiERþ) compared with ERÀ cancers (NlEpiERÀ). These include genes characteristic of ERþ and ERÀ cancers (e.g., ESR1, GATA3, and CX3CL1, FABP7). qPCR validated the microarray results in both the 30 original cases and the 16 independent cases. Gene expression in NlEpiERþ and NlEpiERÀ resembled gene expression in ERþ and ERÀ cancers, respectively: 25% to 53% of the genes or probes examined in four external data sets overlapped between NlEpi and the corresponding cancer subtype. -
Genetic Drivers of Pancreatic Islet Function
| INVESTIGATION Genetic Drivers of Pancreatic Islet Function Mark P. Keller,*,1 Daniel M. Gatti,†,1 Kathryn L. Schueler,* Mary E. Rabaglia,* Donnie S. Stapleton,* Petr Simecek,† Matthew Vincent,† Sadie Allen,‡ Aimee Teo Broman,§ Rhonda Bacher,§ Christina Kendziorski,§ Karl W. Broman,§ Brian S. Yandell,** Gary A. Churchill,†,2 and Alan D. Attie*,2 *Department of Biochemistry, §Department of Biostatistics and Medical Informatics, and **Department of Horticulture, University of Wisconsin–Madison, Wisconsin 53706-1544, †The Jackson Laboratory, Bar Harbor, Maine 06409, and ‡Maine School of Science and Mathematics, Limestone, Maine 06409, ORCID IDs: 0000-0002-7405-5552 (M.P.K.); 0000-0002-4914-6671 (K.W.B.); 0000-0001-9190-9284 (G.A.C.); 0000-0002-0568-2261 (A.D.A.) ABSTRACT The majority of gene loci that have been associated with type 2 diabetes play a role in pancreatic islet function. To evaluate the role of islet gene expression in the etiology of diabetes, we sensitized a genetically diverse mouse population with a Western diet high in fat (45% kcal) and sucrose (34%) and carried out genome-wide association mapping of diabetes-related phenotypes. We quantified mRNA abundance in the islets and identified 18,820 expression QTL. We applied mediation analysis to identify candidate causal driver genes at loci that affect the abundance of numerous transcripts. These include two genes previously associated with monogenic diabetes (PDX1 and HNF4A), as well as three genes with nominal association with diabetes-related traits in humans (FAM83E, IL6ST, and SAT2). We grouped transcripts into gene modules and mapped regulatory loci for modules enriched with transcripts specific for a-cells, and another specific for d-cells. -
Supplementary Table 1. Pain and PTSS Associated Genes (N = 604
Supplementary Table 1. Pain and PTSS associated genes (n = 604) compiled from three established pain gene databases (PainNetworks,[61] Algynomics,[52] and PainGenes[42]) and one PTSS gene database (PTSDgene[88]). These genes were used in in silico analyses aimed at identifying miRNA that are predicted to preferentially target this list genes vs. a random set of genes (of the same length). ABCC4 ACE2 ACHE ACPP ACSL1 ADAM11 ADAMTS5 ADCY5 ADCYAP1 ADCYAP1R1 ADM ADORA2A ADORA2B ADRA1A ADRA1B ADRA1D ADRA2A ADRA2C ADRB1 ADRB2 ADRB3 ADRBK1 ADRBK2 AGTR2 ALOX12 ANO1 ANO3 APOE APP AQP1 AQP4 ARL5B ARRB1 ARRB2 ASIC1 ASIC2 ATF1 ATF3 ATF6B ATP1A1 ATP1B3 ATP2B1 ATP6V1A ATP6V1B2 ATP6V1G2 AVPR1A AVPR2 BACE1 BAMBI BDKRB2 BDNF BHLHE22 BTG2 CA8 CACNA1A CACNA1B CACNA1C CACNA1E CACNA1G CACNA1H CACNA2D1 CACNA2D2 CACNA2D3 CACNB3 CACNG2 CALB1 CALCRL CALM2 CAMK2A CAMK2B CAMK4 CAT CCK CCKAR CCKBR CCL2 CCL3 CCL4 CCR1 CCR7 CD274 CD38 CD4 CD40 CDH11 CDK5 CDK5R1 CDKN1A CHRM1 CHRM2 CHRM3 CHRM5 CHRNA5 CHRNA7 CHRNB2 CHRNB4 CHUK CLCN6 CLOCK CNGA3 CNR1 COL11A2 COL9A1 COMT COQ10A CPN1 CPS1 CREB1 CRH CRHBP CRHR1 CRHR2 CRIP2 CRYAA CSF2 CSF2RB CSK CSMD1 CSNK1A1 CSNK1E CTSB CTSS CX3CL1 CXCL5 CXCR3 CXCR4 CYBB CYP19A1 CYP2D6 CYP3A4 DAB1 DAO DBH DBI DICER1 DISC1 DLG2 DLG4 DPCR1 DPP4 DRD1 DRD2 DRD3 DRD4 DRGX DTNBP1 DUSP6 ECE2 EDN1 EDNRA EDNRB EFNB1 EFNB2 EGF EGFR EGR1 EGR3 ENPP2 EPB41L2 EPHB1 EPHB2 EPHB3 EPHB4 EPHB6 EPHX2 ERBB2 ERBB4 EREG ESR1 ESR2 ETV1 EZR F2R F2RL1 F2RL2 FAAH FAM19A4 FGF2 FKBP5 FLOT1 FMR1 FOS FOSB FOSL2 FOXN1 FRMPD4 FSTL1 FYN GABARAPL1 GABBR1 GABBR2 GABRA2 GABRA4 -
(GFRA2) (NM 001495) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC208014L4 GDNF Receptor alpha 2 (GFRA2) (NM_001495) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: GDNF Receptor alpha 2 (GFRA2) (NM_001495) Human Tagged ORF Clone Tag: mGFP Symbol: GFRA2 Synonyms: GDNFRB; NRTNR-ALPHA; NTNRA; RETL2; TRNR2 Vector: pLenti-C-mGFP-P2A-Puro (PS100093) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC208014). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_001495 ORF Size: 1392 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 GDNF Receptor alpha 2 (GFRA2) (NM_001495) Human Tagged ORF Clone – RC208014L4 OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_001495.4 RefSeq Size: 3376 bp RefSeq ORF: 1395 bp Locus ID: 2675 UniProt ID: O00451 Domains: GDNF Protein Families: Druggable Genome MW: 51.5 kDa Gene Summary: Glial cell line-derived neurotrophic factor (GDNF) and neurturin (NTN) are two structurally related, potent neurotrophic factors that play key roles in the control of neuron survival and differentiation. -
Hydrogel Mediated Delivery of Trophic Factors for Neural Repair Joshua S
Advanced Review Hydrogel mediated delivery of trophic factors for neural repair Joshua S. Katz1 and Jason A. Burdick∗ Neurotrophins have been implicated in a variety of diseases and their delivery to sites of disease and injury has therapeutic potential in applications including spinal cord injury, Alzheimer’s disease, and Parkinson’s disease. Biodegradable polymers, and specifically, biodegradable water-swollen hydrogels, may be advantageous as delivery vehicles for neurotrophins because of tissue-like properties, tailorability with respect to degradation and release behavior, and a history of biocompatibility. These materials may be designed to degrade via hydrolytic or enzymatic mechanisms and can be used for the sustained delivery of trophic factors in vivo. Hydrogels investigated to date include purely synthetic to purely natural, depending on the application and intended release profiles. Also, flexibility in material processing has allowed for the investigation of injectable materials, the development of scaffolding and porous conduits, and the use of composites for tailored molecule delivery profiles. It is the objective of this review to describe what has been accomplished in this area thus far and to remark on potential future directions in this field. Ultimately, the goal is to engineer optimal biomaterials to deliver molecules in a controlled and dictated manner that can promote regeneration and healing for numerous neural applications. 2008 John Wiley & Sons, Inc. Wiley Interdiscipl. Rev. Nanomed. Nanobiotechnol. 2009 1 128–139 -
Table SI. Characteristics of 9 Patients Chosen from 60 Patients with Hepatocellular Carcinoma
Table SI. Characteristics of 9 patients chosen from 60 patients with hepatocellular carcinoma. Characteristic No. of patients (%) Age, years <50 3 (33.3) ≥50 6 (66.7) Sex Female 4 (44.4) Male 5 (55.6) Albumin, g/l ≥35 8 (88.9) <35 1 (11.1) AFP, ng/ml ≤20 2 (22.2) >20 7 (77.8) Tumor diameter, cm ≤5 3 (33.3) >5 6 (66.7) Portal vein invasion Without 3 (33.3) With 6 (66.7) BCLC stage A 2 (22.2) B/C 7 (77.8) AFP, α-fetoprotein; BCLC, Barcelona Clinic Liver Cancer. Table SII. List of the gene symbol and relative expression of six significant clusters. Gene symbol SPOT Profile Day 0 Day 3 Day 7 Day 14 Day 21 ALCAM ID_10 16 0 -356.5 378.5 0.1 307.8 ANGPT2 ID_13 16 0 -45.7 197.2 96 60.2 CD80 ID_24 16 0 -177 362 -29 187 CTNNB1 ID_29 16 0 -58 294 83 49 BMP4 ID_37 16 0 -107 189 0 53 CCL28 ID_49 16 0 -307 856 491 347 CCR1 ID_50 16 0 -189 391 236 112 CCR4 ID_53 16 0 -101 361 89 240 CCR7 ID_56 16 0 -98 361 103 66 CLC ID_70 16 0 -147 274 0 188 CRIM1 ID_74 16 0 -642 229 -48 -112 CXCL14 ID_83 16 0 -434 1,154.00 778 376 CXCL16 ID_84 16 0 -128 800 477 180 DKK3 ID_97 16 0 -199 610 107 3 FGFBP1 ID_129 16 0 -224 484 -155 37 FGF20 ID_147 16 0 -113 264 -32 -4 WFIKKN1 ID_163 16 0 -195 544 262 41 GFRA1 ID_175 16 0 -536 443 29 280 GFRA4 ID_178 16 0 -211 208 -47 116 TNFSF18 ID_180 16 0 -14 246 89 68 GPC5 ID_187 16 0 -180 1,345.00 298 509 GH1 ID_194 16 0 -596 206 10 -9 CCHCR1 ID_198 16 0 -108 322 50 238 NRG1 ID_200 16 0 -81 378.5 170.5 187 ICAM1 ID_207 16 0 -136 98 -17 63 IFNB1 ID_213 16 0 -87 233 143 29 IGFBP3 ID_218 16 0 -1,311.00 609 -368 -178 IGFBP4 ID_219 16 0 -
Gene Expression Profiling Reveals Early Induction of Genes Involved in Lipid Transport and Metabolism
Erythropoietin increases myelination in oligodendrocytes: gene expression profiling reveals early induction of genes involved in lipid transport and metabolism Article (Published Version) Gyetvai, Georgina, Hughe, Tricia, Wedmore, Florence, Roe, Cieron, Heikal, Lamia, Ghezzi, Pietro and Mengozzi, Manuela (2017) Erythropoietin increases myelination in oligodendrocytes: gene expression profiling reveals early induction of genes involved in lipid transport and metabolism. Frontiers in Immunology, 8 (1394). pp. 1-13. ISSN 1664-3224 This version is available from Sussex Research Online: http://sro.sussex.ac.uk/id/eprint/70476/ This document is made available in accordance with publisher policies and may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher’s version. Please see the URL above for details on accessing the published version. Copyright and reuse: Sussex Research Online is a digital repository of the research output of the University. Copyright and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable, the material made available in SRO has been checked for eligibility before being made available. Copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.