- •Dedication
- •Dedication
- •Preface
- •Contents
- •Contributors
- •Travel Awards
- •About the Editors
- •1.1 Introduction
- •1.2 Methods
- •1.2.1 RNA Preparation and cDNA Labeling
- •1.2.2 Hybridization of Slides, Image Acquisition and Bioinformatics
- •1.2.3 Real-Time PCR
- •1.3.2 Microarray Analysis of Bouse C Model
- •1.3.3 Microarray Analysis of MOT1 Mouse
- •1.4 Discussion
- •References
- •2 Regulation of Angiogenesis by Macrophages
- •2.1 Macrophage Polarization and Its Role in Angiogenesis
- •References
- •3.1 Introduction
- •3.2 Materials and Methods
- •3.2.1 Reagents
- •3.2.2 Animals and Retina Explant Culture
- •3.2.3 Cell Culture
- •3.2.4 Western Blot Assay
- •3.3 Results
- •3.3.1 Phorbol Esters Increase Rod Generation
- •3.3.2 Expression of PKC Isoforms in Developing Retina
- •3.3.3 Activation of PKC Decreases Phosphorylation of STAT3
- •References
- •4.1 Introduction
- •4.3 In Silico Information
- •4.4 Expression and Distribution in the Retina
- •4.5 Transmembrane Topology
- •4.6 Binding to PEDF Ligands
- •4.7 Phospholipase Activity
- •4.8 PEDF-R Activity in Retinal Cells
- •4.9 Conclusions
- •References
- •References
- •6 The Association Between Telomere Length and Sensitivity to Apoptosis of HUVEC
- •6.1 Introduction
- •6.2 Methods
- •6.2.1 The Culture of HUVEC and the Construction of Cell Division Model
- •6.2.2 Construction of an Apoptosis Model of HUVEC with Free Hydroxyl Radicals
- •6.2.3 Measurement of Apoptosis Rates and Telomere Lengths
- •6.2.4 Statistics Analysis
- •6.3 Results
- •6.3.1 Relationship Between the Time of Culture and the Telomere Length
- •6.3.2 Relationship Among Apoptosis Rates, Culture Times and Oxidation
- •6.3.3 Oxidation Enhances the Telomere Shortening
- •6.4 Discussion
- •References
- •7.1 Regulation of cGMP Levels in Photoreceptor Outer Segments
- •7.2 Retinal Disorders Associated with Mutations in RetGCs and PDE6
- •7.3 Analysis of Teleost RetGC and PDEs in Retinal Function and Disorders
- •References
- •8 RDS in Cones Does Not Interact with the Beta Subunit of the Cyclic Nucleotide Gated Channel
- •References
- •9.1 Introduction
- •9.2 Material and Methods
- •9.2.1 Animals
- •9.2.2 Methods
- •9.2.3 Statistical Analysis
- •9.3 Results
- •9.4 Discussion
- •References
- •10.1 Introduction
- •10.2 Methods and Results
- •10.2.1 ZBED4 mRNA is Expressed in Human Retina
- •10.2.2 ZBED4 mRNA is Expressed in Mouse and Human Cones
- •10.2.3 ZBED4 is Expressed Both in Nuclei and Cytoplasm of Human Cones
- •10.2.3.1 Human ZBED4 is Also Expressed in Müller Cells Endfeet
- •10.2.4 Human ZBED4 is Distributed Between Nuclear and Cytoplasmic Retinal Fractions
- •10.2.5 Subcellular Localization of ZBED4 in Stably Transfected Cells
- •10.3 Discussion
- •References
- •11 Tubby-Like Protein 1 (Tulp1) Is Required for Normal Photoreceptor Synaptic Development
- •11.1 Introduction
- •11.2 Methods
- •11.2.1 Animals
- •11.3 Results
- •11.4 Discussion
- •References
- •12.1 Introduction
- •12.2 Experimental Procedures
- •12.2.1 Animal
- •12.2.2 Immunohistochemistry
- •12.2.3 RT-PCR Analysis
- •12.2.4 Behavioral Analysis
- •12.3 Results
- •12.4 Discussion
- •12.4.2 GAP43 Is a Good Marker for Monitoring the Long Process of Optic Nerve Regeneration in Fish
- •References
- •13 Multiprotein Complexes of Retinitis Pigmentosa GTPase Regulator (RPGR), a Ciliary Protein Mutated in X-Linked Retinitis Pigmentosa (XLRP)
- •13.1 X-Linked RP (XLRP)
- •13.2 Retinitis Pigmentosa GTPase Regulator (RPGR)
- •13.3 RPGR Isoforms in the Retina
- •13.4 Animal Models of RPGR
- •13.5 Sensory Cilia
- •13.6 Retinal Degeneration Caused by Mutations in Ciliary Proteins
- •13.9 Conclusion
- •References
- •14 Misfolded Proteins and Retinal Dystrophies
- •14.1 Endoplasmic Reticulum Stress and Retinal Degeneration
- •14.2 Misfolded Proteins in Photoreceptors
- •14.3 Misfolded Proteins in Retinal Pigment Epithelial Cells
- •14.4 Pharmacologic Targeting of Protein Misfolding to Prevent Retinal Degeneration
- •References
- •15.1 Introduction
- •15.6 Perspective
- •References
- •16.1 Introduction
- •16.2 RCS Rat and MerTK Receptor: An Intimate Story
- •16.3 Changes Associated with Absence of MerTK in the Rat Retina
- •16.4 Daily Rhythmic Activation of Mertk: The Intracellular Way
- •16.5 The Debate About MerTK Ligands In Vivo
- •16.6 Perspectives
- •References
- •17.1 Introduction
- •17.3 Implications for IRBP and Cone Function
- •17.4 The Cone Visual Cycle
- •References
- •18.1 Introduction
- •18.2 Material and Methods
- •18.2.1 Reagents
- •18.2.2 Cell Culture
- •18.2.3 Flow Cytometry
- •18.3 Results
- •18.3.2 Oxidative Stress of Renal Tubular Epithelial Cells Does Not Alter Surface Expression of Crry by the Cells
- •18.4 Discussion
- •References
- •19 Role of Metalloproteases in Retinal Degeneration Induced by Violet and Blue Light
- •19.1 Introduction
- •19.2 Objective
- •19.3 Materials and Methods
- •19.4 Results
- •19.5 Conclusion
- •References
- •20.1 Summary
- •20.2 Introduction
- •20.3 Materials and Methods
- •20.3.1 Primary Human RPE Cell Culture
- •20.3.3 Mitochondrial Morphometrics
- •20.3.4 Protein and Weight Estimation of RPE Cells and Mitochondria
- •20.3.7 Expression of Mitochondrial Associated Genes
- •20.4 Results
- •20.4.1 Age Related Sensitivity of RPE Cells to Oxidative Stress
- •20.4.2 Variation in Mitochondrial Number, Structure, and Size
- •20.4.5 Expression of Genes Associated with Mitochondrial Function
- •20.5 Discussion
- •References
- •21 Ciliary Transport of Opsin
- •21.1 Introduction
- •21.2 Methods
- •21.3 Results
- •21.4 Discussion
- •References
- •22 Effect of Hesperidin on Expression of Inducible Nitric Oxide Synthase in Cultured Rabbit Retinal Pigment Epithelial Cells
- •22.1 Introduction
- •22.2 Materials and Methods
- •22.2.1 Preparing Hesperidin Extract of Pericarpium Citri Reticulatae
- •22.2.3 Cell Culture
- •22.2.4 MTT Cell Viability Assay
- •22.2.5 Assay of NO Production
- •22.2.6 Cellular Immunohistochemistry of iNOS
- •22.2.7 Statistical Analysis
- •22.3 Results
- •22.3.2 RPE Cells Morphology
- •22.3.4 Assay of NO and iNOS
- •22.4 Discussion
- •References
- •23.1 Introduction
- •23.2 Materials and Methods
- •23.2.1 Rabbit Retina Tissues
- •23.2.2 RNA Extraction
- •23.2.3 miRNA Microarray Analysis
- •23.2.4 Data Analysis
- •23.2.5 Bioinformatics Analysis of the Selected Mirnas
- •23.3 Results and Discussion
- •23.3.1 miRNA Microarray Analysis
- •23.3.2 Putative miRNA Target Gene Prediction
- •References
- •24.1 Introduction
- •24.2 Materials and Methods
- •24.2.1 Experiment with Animals
- •24.2.2 -Galactosidase Assay
- •24.3 Results
- •24.3.1 Generation of Transgenic Mice
- •24.3.2 Localization of Cre Function in Transgenic Mice
- •24.4 Discussion
- •References
- •25.1 Introduction
- •25.2 Methods
- •25.3 Result
- •25.4 Conclusions
- •References
- •26.1 PSC Proteins Involved in Inherited Retinal Degenerations
- •26.2 Structure of Photoreceptor Sensory Cilium Complex
- •26.3 Protein Components of Photoreceptor Sensory Cilium: PSC Proteome
- •26.4 Novel Photoreceptor Cilia Proteins in PSC Proteome
- •26.4.1 Subcellular Locations of Candidate Novel PSC Proteins
- •26.4.2 Functional Analysis of Novel PSC Proteins in Photoreceptor and Renal Cilia
- •26.4.2.1 shRNAs Against Novel PSC Genes
- •26.4.2.2 Evaluation of Phenotypes of shRNA Knockdown in mIMCD3 Cells and PSCs
- •26.5 TTC21B Protein in Photoreceptor Sensory Cilia and Renal Primary Cilia
- •26.5.1 TTC21B Localizes to the Basal Bodies and Transition Zone of Primary and Photoreceptor Sensory Cilia
- •26.5.2 TTC21B is Required for Primary Cilia and Photoreceptor Sensory Cilia Formation
- •26.6 Future Direction: Screening Novel PSC Genes for Mutations that Cause IRDs
- •References
- •27.1 Introduction
- •27.2 Materials and Methods
- •27.2.1 RNA Interference
- •27.2.2 Construction of Mouse Anti Elovl4 Gene shRNA
- •27.2.3 Tissue Culture
- •27.2.4 Fatty Acid Analysis
- •27.3 Results
- •27.3.1 661W Cells Express Elovl4 and Can Elongate 18:3n3 and 22:5n3 to Longer Chain Fatty Acids
- •27.4 Discussion
- •References
- •28 Molecular Pathogenesis of Achromatopsia Associated with Mutations in the Cone Cyclic Nucleotide-Gated Channel CNGA3 Subunit
- •28.1 Introduction
- •28.2 Materials and Methods
- •28.2.1 Constructs, Cell Culture and Transfection
- •28.2.3 Electrophysiological Recordings
- •28.2.4 SDS-PAGE and Western Blot Analysis
- •28.3 Results
- •28.3.1 The R218C and R224W Mutations Cause Loss of Channel Function
- •28.4 Discussion
- •References
- •29.1 Introduction
- •29.2 Materials and Methods
- •29.2.1 Patients and Ophthalmologic Examinations
- •29.2.2 Molecular Genetic Analysis
- •29.3 Results and Discussion
- •29.3.1 adRP
- •29.3.2 Bothnia Dystrophy
- •29.4 Conclusions
- •References
- •30.1 Introduction
- •30.2 Properties of Rhodopsin CSNB Mutants
- •30.2.1 Spectral and Photochemical Properties
- •30.2.2 Retinal Binding Kinetics of Rhodopsin CSNB Mutants
- •30.2.3 Activity of CSNB Mutants
- •30.2.3.1 In Vitro Assays of CSNB Mutants
- •30.2.3.2 Electrophysiological Studies on Transgenic Animal Models
- •30.3 Proposed Mechanisms of CSNB Mutations
- •30.3.1 Desensitization Due to Mutant Opsin Activity in Xenopus
- •30.3.2 Proposed Dark-Active Rhodopsin in Mouse
- •30.4 Future Studies
- •References
- •31 GCAP1 Mutations Associated with Autosomal Dominant Cone Dystrophy
- •31.2 Guanylate Cyclase 1 (GC1) and GCAP1
- •31.3 The EF Hand Motifs of GCAP1
- •31.5 EF3: The GCAP1(Y99C) and GCAP1(N104K) Mutations
- •31.6 EF4: The GCAP1(I143NT), GCAP1(L151F) and GCAP1(E155G) Mutations
- •31.7 Conclusion
- •References
- •32.1 Introduction
- •32.2 Methodology
- •32.2.1 Molecular Genetic Studies
- •32.2.2 Electrophysiological Studies
- •32.3 Results
- •32.3.1 RS1 Mutations in Western Australian Families
- •32.3.3.1 Family Information
- •32.3.3.2 Patient Information
- •32.3.3.3 Genetic Information
- •32.4 Discussion
- •References
- •33.1 Introduction
- •33.2 Materials and Methods
- •33.2.1 Subjects
- •33.2.2 DNA Extraction
- •33.2.4 RFLP Analysis
- •33.2.5 Statistical Analysis
- •33.3 Results
- •33.4 Discussion
- •References
- •34.1 Introduction
- •34.2 Materials and Methods
- •34.2.1 Animal Experiments and Experimental Groups
- •34.2.2 Web-Based siRNA Design Protocols Targeting Claudin-5
- •34.2.4 Indirect Immunostaining of Retinal Flatmounts
- •34.2.5 Assessment of BRB Integrity by Perfusion of Hoechst (H33342)
- •34.2.6 Magnetic Resonance Imaging (MRI)
- •34.3 Results
- •34.3.1 Claudin-5 Levels in Retinal Flatmounts
- •34.3.3 MRI Analysis of Ibrb Integrity Following Rnai of Claudin-5
- •34.4 Discussion
- •References
- •35 Spectral Domain Optical Coherence Tomography and Adaptive Optics: Imaging Photoreceptor Layer Morphology to Interpret Preclinical Phenotypes
- •35.1 Introduction
- •35.2 Materials and Methods
- •35.2.1 Subjects
- •35.2.2 Adaptive Optics Retinal Imaging
- •35.2.3 Spectral Domain Optical Coherence Tomography
- •35.3 Results
- •35.3.1 Cone Photoreceptor Mosaic Topography
- •35.3.2 Outer Nuclear Layer Thickness
- •35.4 Discussion
- •References
- •36.1 Introduction
- •36.2 Pharmacological Strategies for Misfolding Mutant Rod Opsin
- •36.2.1 Pharmacological Chaperones
- •36.2.2 Kosmotropes
- •36.2.3 Molecular Chaperone Inducers
- •36.2.4 Autophagy Inducers
- •36.3 Conclusion
- •References
- •37 Targeted High-Throughput DNA Sequencing for Gene Discovery in Retinitis Pigmentosa
- •37.1 Introduction
- •37.2 Methods
- •37.2.1 Selection of Families
- •37.2.2 VisionCHIP Gene Selection
- •37.2.3 VisionCHIP Validation
- •37.2.4 Evaluating Potentially Pathogenic Variants
- •37.3 Conclusion
- •References
- •38 Advances in Imaging of Stargardt Disease
- •38.1 Introduction
- •38.4 Adaptive Optics Scanning Laser Ophthalmoscope
- •38.5 Conclusion
- •References
- •39.1 Materials and Methods
- •39.1.1 Cell Culture
- •39.1.3 VEGF Expression was Determined by ELISA
- •39.1.4 Statistical Analysis
- •39.2 Results
- •39.2.1 The Maximum Inhibition of VEGF Expression by Protamine Sulfate
- •39.2.2 Protamine Sulfate Inhibits the RF/6A Cell VEGF Expression at the Hypoxic Condition
- •39.2.3 Protamine Sulfate Inhibits the Binding of VEGF to Its Receptor
- •39.3 Discussions
- •39.3.1 The Inhibition Effect of Protamine Sulfate on VEGF
- •39.3.2 Inhibition of the Binding Between VEGF and Its Receptor
- •39.3.3 The Potential Use of Protamine Sulfate Inhibition of Angiogenic Eye Diseases
- •References
- •40.1 Introduction
- •40.2 Methods
- •40.2.1 Immunohistochemial Staining of Choroidal Endothelia
- •40.2.2 Analysis of Choriodal Density with Photoshop 8.0
- •40.3 Results and Discussion
- •40.3.1 Analysis Of Choroidal Density
- •40.3.2 Usefulness of the Methodology
- •40.3.3 Summary
- •References
- •41 Thioredoxins 1 and 2 Protect Retinal Ganglion Cells from Pharmacologically Induced Oxidative Stress, Optic Nerve Transection and Ocular Hypertension
- •41.1 Introduction
- •41.2 Methods
- •41.2.1 Animals
- •41.2.2 RGC Counting
- •41.2.3 RGC Isolation
- •41.2.4 Western Blot Analysis
- •41.2.5 RGC-5 Culture and Transfection
- •41.2.6 Cell Viability Assay
- •41.2.7 In Vivo Electroporation (ELP)
- •41.2.8 Statistical Analysis
- •41.3 Results
- •41.3.1.1 TRX Expression in RGC-5 Cells in Response to Oxidative Stress
- •41.3.1.2 The Levels of TRX Proteins After ONT
- •41.3.1.3 The Levels of TRX Proteins After IOP Elevation
- •41.3.2 The Effect of TRX1 and TRX2 Overexpression on RGC Survival
- •41.3.2.2 TRX1 and TRX2 Overexpression Increases RGC Survival After ONT
- •41.3.2.3 TRX1 and TRX2 Overexpression Increases RGC Survival After IOP Elevation
- •41.4 Discussion
- •References
- •42 Near-Infrared Light Protect the Photoreceptor from Light-Induced Damage in Rats
- •42.1 Introduction
- •42.2 Material and Methods
- •42.2.1 Animal
- •42.2.2 Light Damage
- •42.2.3 670 nm LED Treatment
- •42.2.4 Evaluation of Photoreceptor Cell Function by Electroretinography
- •42.2.5 Morphological Evaluation of Photoreceptor Rescue by Quantitative Histology
- •42.2.6 Statistical Analysis
- •42.3 Results
- •42.3.1 LED Attenuated the Light Damage Area in Retinas
- •42.3.2 LED Protected the Morphology of Light Damage Retina
- •42.3.3 LED Protected the Function of Light Damage Retina
- •References
- •43.1 Introduction
- •43.2 Methods
- •43.2.1 Animals
- •43.2.2 Cell Preparation and Subretinal Transplantation
- •43.2.3 Flash-Electroretinogram (F-ERG) Recordings
- •43.2.5 Data Analysis
- •43.3 Results
- •43.3.1 ERG Amplitudes and Latencies
- •43.3.2 ONL Thickness
- •43.3.3 Graft Cells Survival After Subretinal Transplantation
- •43.4 Discussion
- •References
- •44.1 Introduction
- •44.2 Mechanisms of ATP Release and Degradation
- •44.2.1 ATP Release
- •44.2.2 Degradation of ATP
- •44.3 Purinergic Signaling in the Retina
- •44.3.1 Purinergic Modulation of Neuronal Signaling
- •44.3.2 ATP and Glial Transmission
- •44.4 The Role of Purinergic Receptors in Retinal Disease
- •44.5 Concluding Remarks
- •References
- •45.1 Background
- •45.3 FAF Findings in Early AMD with Drusen Only
- •45.4 FAF Findings in Late AMD with Geographic Atrophy
- •45.5 Progression of Geographic Atrophy
- •45.6 Mechanisms of Progression
- •45.7 Research to Prevent Progression
- •45.8 Discussion
- •References
- •46 Endoplasmic Reticulum Stress as a Primary Pathogenic Mechanism Leading to Age-Related Macular Degeneration
- •46.1 Age Related Macular Degeneration Is a Leading Cause of Vision Loss
- •46.3 ER Stress and Oxidative Stress Interact
- •46.5 Future Experimental Approaches
- •References
- •47 Proteomic and Genomic Biomarkers for Age-Related Macular Degeneration
- •47.1 Introduction
- •47.2 Methods
- •47.3 Results
- •47.3.1 CEP Adducts and Autoantibodies Are Elevated in AMD Plasma
- •47.3.2 AMD Risk Based on CEP Biomarkers and Genotype
- •47.3.3 The Association Between CEP Biomarkers and AMD Risk Genotypes
- •47.4 Discussion
- •References
- •48.1 Introduction
- •48.2 Methods
- •48.2.1 Chemicals
- •48.2.2 Establishment and Maintenance of hRPE Cell Cultures
- •48.2.3 Cellular Proliferation
- •48.2.4 Immunoprecipitation Assay
- •48.2.5 Statistical Analysis
- •48.3 Results
- •48.3.1 Effect of Glucose on 14C-CTGF Synthesis in hRPE Cells
- •48.3.2 Effect of IGF-1 on 14C-CTGF Synthesis in hRPE cells
- •48.4 Discussion
- •References
- •49.1 Introduction
- •49.1.3 Peroxisome Proliferator Activated Receptors (PPARs) are Expressed in ARPE19 Cells
- •49.2 LcPUFA Regulates Gene Expression in ARPE19 Cells
- •49.2.1 Purpose and Methods
- •49.2.2 Results
- •49.2.3 Discussion
- •References
- •50.1 Introduction
- •50.2 Cigarette Smoking as a Risk Factor for AMD
- •50.2.1 AMD and Cigarette Smoke
- •50.2.2 Cigarette Smoke Constituents
- •50.3 Oxidative Stress
- •50.3.1 Oxidative Damage in AMD
- •50.3.2 Reactive Oxygen Species in Cigarette Smoke
- •50.3.3 Acrolein-Induced Oxidative Stress
- •50.3.4 Cadmium-Induced Oxidative Stress
- •50.4 Cigarette Smoke Depletion of Antioxidant Protection
- •50.4.1 Systemic Antioxidant Mechanisms
- •50.4.2 Local Ocular Antioxidants
- •50.5 Non-oxidative Chemical Damage by Cigarette Smoke
- •50.5.1 Nicotine
- •50.5.2 Polycyclic Aromatic Hydrocarbons
- •50.6.2 Cigarette Smoke and Complement Pathway
- •50.7 Vascular Changes
- •50.8 Conclusions
- •References
- •51.1 Oxidative Stress and Age-Related Macular Degeneration
- •51.2 The Ubiquitin Proteolytic System (UPS) and Oxidative Stress in the Retina
- •51.3 The UPS and the Cytoprotective Transcription Factor, Nrf2
- •References
- •52 Slit-Robo Signaling in Ocular Angiogenesis
- •52.1 Ocular Angiogenesis
- •52.2 Slit-Robo Signaling in Axon Guidance
- •52.3 Slit-Robo Signaling in Angiogenesis
- •52.4 Slit-Robo Signaling in Ocular Angiogenesis
- •52.5 Signaling Pathway of Slit-Robo System in Angiogenesis
- •52.6 Perspective
- •References
- •53.1 Introduction
- •53.2 Materials and Methods
- •53.2.1 Animals and Biosafety
- •53.2.2 MNU-Induced Retinal Degeneration
- •53.2.3 Electroretinography
- •53.2.4 Histological Examination and Immunohistochemistry
- •53.3 Results
- •53.3.1 Fundus Examination and Histology of the Retina
- •53.3.3 BrdU Incorporation
- •53.3.4 Immunohistology of Nestin
- •References
- •54 Differences in Photoreceptor Sensitivity to Oxygen Stress Between Long Evans and Sprague-Dawley Rats
- •54.1 Introduction
- •54.2 Methods
- •54.2.1 Animal Strains and Oxygen Exposure
- •54.2.2 Electroretinography
- •54.2.3 Immunohistochemistry and TUNEL Labeling
- •54.3 Results
- •54.3.1 Rod and Cone Components of the ERG after Hyperoxia
- •54.3.2 Impact of Hyperoxia on the Rate of Photo receptor Death
- •54.3.3 Impact of Hyperoxia on GFAP Expression
- •54.4 Discussion
- •References
- •55.1 Introduction
- •55.2 The AY9944 Rat Model of SLOS: Biochemical Findings
- •55.3 Retinal Degeneration in the SLOS Rat Model: Histology and Ultrastructure
- •References
- •56.1 Introduction
- •56.1.1 The Pde6brd1 Mouse and Increased [cGMP]
- •56.1.2 Calcium Regulation and Overload in the Photoreceptor Inner Segment
- •56.2 D-cis-diltiazem and Neuroprotection in the Retina
- •56.2.1 Criticism of the Frasson Study
- •56.3 Other Players May Be Involved
- •References
- •57.1 Introduction
- •57.2 Materials and Methods
- •57.2.1 Animals and Reagents
- •57.2.2 Induction of Retinal I/R
- •57.2.4 Statistical Analysis
- •57.3 Results
- •57.3.1 Effect of PBNA on Serum NO Content in Retinal I/R Injury
- •57.3.2 Effect of PBNA on T-NOS Activity in Retinal I/R Injury
- •57.3.3 Effect of PBNA on iNOS Activity in Retinal I/R Injury
- •57.3.4 Effect of PBNA on Serum eNOS Activity in Retinal I/R Injury
- •57.4 Discussion
- •References
- •References
- •59.1 Introduction
- •59.2 Materials and Methods
- •59.2.1 Experimental Animals
- •59.2.3 Construction of the pur-GFP Reporter Vector
- •59.2.4 Morpholino and Microinjections
- •59.2.5 In Situ Hybridization
- •59.2.6 RNA Isolation, RT-PCR and mRNA Synthesis
- •59.3 Results
- •59.3.2 Similar Phenotypes of Purpurin and Crx Morphant
- •References
- •60.1 Introduction
- •60.2 Bipolar Cell Function in Retinal Degeneration
- •60.2.1 Glutamate Receptors of Bipolar Cells in the Normal and Degenerating Retina
- •60.2.2 Evidence for Bipolar Cell Dysfunction
- •60.2.2.1 Rod Bipolar Cells
- •60.2.2.2 Cone Bipolar Cells
- •60.3 Ganglion Cell Function in Retinal Degeneration
- •References
- •61.1 Introduction
- •61.2 Methods
- •61.2.1 Animals and Rearing
- •61.2.2 Measurement of Outer Nuclear Layer Thickness
- •61.2.3 Counting Photoreceptor Nuclei
- •61.3 Results
- •61.4 Discussion
- •References
- •62.1 Introduction
- •62.2 Retinitis Pigmentosa
- •62.4 IMPDH Structure and Function
- •62.5 IMPDH Binds Single Stranded Nucleic Acids
- •62.6 Retinal Isoforms of IMPDH1
- •62.7 Kinetic and Nucleic Acid Binding Properties of Retinal IMPDH1
- •62.8 Conclusion
- •References
- •63.1 Introduction
- •63.2 Methods
- •63.3 Results
- •63.4 Discussion
- •63.5 Conclusion
- •References
- •64.1 Introduction
- •64.2 Results
- •64.2.1 Evaluation of Optimal IMPDH1 Suppressors
- •64.2.2 RP10 Mouse Model
- •64.3 Discussion
- •References
- •65 Correlation Between Tissue Docosahexaenoic Acid Levels and Susceptibility to Light-Induced Retinal Degeneration
- •65.1 Introduction
- •65.2 Methods
- •65.3 Results
- •65.4 Discussion
- •References
- •66.1 Introduction
- •66.2 Materials and Methods
- •66.2.1 Animal
- •66.2.2 Immunohistochemical Staining
- •66.2.3 Western Blot Test
- •66.2.4 Müller Cell Cultures
- •66.2.5 Data Analysis
- •66.3 Results
- •66.3.1 Morphology and Quantity Changes of Müller Cells
- •66.3.2 Expression of GFAP and ERK in RCS Rat Müller Cells
- •66.3.3 Effect of Mixed Retinal Cells of RCS Rats on Normal Müller Cells
- •66.4 Discussion
- •References
- •67.1 Introduction
- •67.2 Materials and Methods
- •67.2.1 Animals and Reagents
- •67.2.2 Induction of RI/R
- •67.2.4 Statistical Analysis
- •67.3 Results
- •67.3.1 The Effect of DSS on the Concentration of MDA in Serum After RI/R Injury
- •67.3.2 The Effect of DSS on the Activity of SOD in Serum After RI/R Injury
- •67.3.4 The Effect of DSS on the Concentration of Serum NO After RI/R Injury
- •67.4 Discussion
- •References
- •68.1 Introduction
- •68.2 Materials and Methods
- •68.2.1 Animals
- •68.2.2 Functional Testing
- •68.2.3 In Vivo Imaging
- •68.3 Results
- •68.3.1 Function
- •68.3.2 Morphology
- •68.4 Discussion
- •References
- •69.1 Introduction
- •69.2 Materials and Methods
- •69.2.1 Mice and Light Exposure
- •69.3 Results
- •69.3.3 Jak3 mRNA Is Induced Similarly in the Model of Light Induced Photoreceptor Cell Death and the rd1 Mouse Model
- •69.4 Discussion
- •References
- •70.1 Introduction
- •70.2 Diseases Associated with RDS Mutations
- •70.3 Current Animal Models
- •70.4 Gene Therapy in rds Models
- •70.5 Viral Gene Therapy Approaches
- •70.6 Non-viral Approaches
- •References
- •71.1 Introduction
- •71.2 Materials and Methods
- •71.2.1 Retinal Stem Cell Isolation and Culture
- •71.2.2 Single Sphere Passaging
- •71.2.3 Bromodeoxyuridine Labeling
- •71.2.4 Retinal Stem Cell Differentiation
- •71.3 Results
- •71.3.2 Retinal Neurosphere Proliferation
- •71.3.3 Differentiation of Retinal Cells Precursors from RSCs
- •71.4 Discussion
- •References
- •72 A Multi-Stage Color Model Revisited: Implications for a Gene Therapy Cure for Red-Green Colorblindness
- •72.1 Introduction
- •72.2 A Brief History of Color Vision Theory
- •72.3 Color Vision from an Evolutionary Perspective
- •References
- •73 Achromatopsia as a Potential Candidate for Gene Therapy
- •73.1 Human Achromatopsia
- •73.1.1 Clinical Manifestations
- •73.1.2 Current Achromatopsia Treatments
- •73.2 Genetics of Human Achromatopsia
- •73.2.1 GNAT2 Achromatopsia
- •73.2.2 CNG Achromatopsia
- •73.2.3 Achromatopsia Gene Therapy
- •73.3 The Mutant Gnat2 Mouse and Gene Therapy
- •73.3.1 The Cnga3 Mutant Mouse and Gene Therapy
- •73.3.2 The Cngb3 Mutant Dog and Gene Therapy
- •73.4 Prospects for Achromatopsia Gene Therapy
- •References
- •74.1 Introduction
- •74.2 Effects of CNTF/LIF on Photoreceptor and Bipolar Neuron Differentiation
- •74.3 Effects of CNTF/LIF on Muller Glia Genesis and Late Progenitor Proliferation
- •74.4 Effects of LIF Misexpression on Retinal Vasculature Development
- •74.5 Expression of CNTF/LIF Signaling Components in the Developing Retina
- •74.6 Signaling Events Triggered by CNTF/LIF During Retinogenesis
- •74.7 CNTF/LIF Regulate Numerous Genes Involved in Retinogenesis
- •74.8 Perspective
- •References
- •75.1 Introduction
- •75.4 Discussion
- •References
- •76.1 The Importance of RPE Cell Function and Integrity for Photoreceptor Survival
- •76.2 The Loss of RPE Cells in Retinal Degeneration
- •76.3 DHA and NPD1 Properties and Neuroprotection
- •References
- •77 Adeno-Associated Virus Serotype-9 Mediated Retinal Outer Plexiform Layer Transduction is Mainly Through the Photoreceptors
- •77.1 Introduction
- •77.2 AAV9-Mediated Gene Transfer in the Retina
- •77.5 Subretinal Injection of AAV9 Vector Did Not Cause Acute Retinal Damage
- •77.6 Conclusions
- •References
- •Index
Chapter 72
A Multi-Stage Color Model Revisited: Implications for a Gene Therapy Cure for Red-Green Colorblindness
Katherine Mancuso, Matthew C. Mauck, James A. Kuchenbecker, Maureen Neitz, and Jay Neitz
Abstract In 1993, DeValois and DeValois proposed a ‘multi-stage color model’ to explain how the cortex is ultimately able to deconfound the responses of neurons receiving input from three cone types in order to produce separate red-green and blue-yellow systems, as well as segregate luminance percepts (black-white) from color. This model extended the biological implementation of Hurvich and Jameson’s Opponent-Process Theory of color vision, a two-stage model encompassing the three cone types combined in a later opponent organization, which has been the accepted dogma in color vision. DeValois’ model attempts to satisfy the long-remaining question of how the visual system separates luminance information from color, but what are the cellular mechanisms that establish the complicated neural wiring and higher-order operations required by the Multi-stage Model? During the last decade and a half, results from molecular biology have shed new light on the evolution of primate color vision, thus constraining the possibilities for the visual circuits. The evolutionary constraints allow for an extension of DeValois’ model that is more explicit about the biology of color vision circuitry, and it predicts that human red-green colorblindness can be cured using a retinal gene therapy approach to add the missing photopigment, without any additional changes to the post-synaptic circuitry.
72.1 Introduction
In 1993, DeValois and DeValois proposed a ‘multi-stage color model’ to explain how the cortex is ultimately able to deconfound the responses of neurons receiving input from three cone types – short- (S-), middle- (M-), and long- (L-) wavelength
K. Mancuso (B)
Department of Ophthalmology, University of Washington, Seattle, WA, USA e-mail: kmancuso@u.washington.edu
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sensitive – to produce separate red-green and blue-yellow systems, as well as segregate luminance percepts (black-white) from color (DeValois and DeValois 1993). This model extended the biological implementation of Hurvich and Jameson’s Opponent-Process Theory of color vision (Hurvich and Jameson 1957), a two-stage model encompassing the three cone types combined in a later opponent organization, which has been the accepted dogma in color vision. The DeValois’ model attempts to satisfy the long-remaining question of how the visual system separates luminance information from color, but what are the cellular mechanisms that establish the complicated neural wiring and higher-order operations required by the Multi-Stage Model? Throughout the last decade and a half, results from molecular biology have shed new light on the evolution of primate color vision, thus constraining the possibilities for the circuitry underlying each of the six main hue percepts – red, green, blue, yellow, black, and white. The evolutionary constraints allow for an extension of DeValois’ model that is more explicit about the biology of the circuitry, and it predicts that human red-green colorblindness can be cured using a retinal gene therapy approach to add the missing cone photopigment (M or L), without further modifications that would be required to transform neural circuits for luminance into ones for color.
72.2 A Brief History of Color Vision Theory
Prior to the emergence of modern biological techniques, breakthroughs in color vision research stemmed from careful consideration of perceptual experiences. The three-component theories of Young and Helmholtz, as well as Hering’s conflicting hypothesis of three paired, opponent color processes were developed in the 1800s, long before the three types of cone photopigment were isolated and characterized within the retina. In the 1950s Hurvich and Jameson proposed a resolution to the apparent conflict between earlier models by combining them in a two-stage theory of color vision (Hurvich and Jameson 1957). The first stage was comprised of three cone types, the outputs of which were combined in an opponent organization at the second stage. Their model accounted for observations that there are four main hue percepts arranged in opponent pairs, red-green and blue-yellow, in addition to achromatic black-white opponency. Shortly thereafter, L/M ‘ON-’ and ‘OFF-type’ opponent cells were, indeed, discovered in the lateral geniculate nucleus (LGN) (DeValois et al. 1966; Wiesel and Hubel 1966), providing a physiological substrate for the red-green circuitry proposed by Hurvich and Jameson. However, in later experiments, identifying a corresponding number of opponent cells with appropriate response characteristics for blue-yellow color vision, as would be expected based on the similar acuities of red-green and blue-yellow vision, has proved troublesome. To date, only a small percentage of cells responding with S-ON characteristics have been described (Dacey and Lee 1994), and a corresponding number of S-OFF-type cells has remained elusive.
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An additional problem with the two-stage model is that most cells in the LGN respond to both color and luminance variations, and confound them, because of the spatial arrangement of their inputs from different cone types. That is, L/M ONand OFF-opponent cells respond similarly to black-white luminance signals and to redgreen chromatic signals, but logic tells us that the visual system is able to separate these confounded responses; otherwise, any time we are presented with a blackwhite pattern we would have spurious color percepts and vice versa. Furthermore, the idea that red-green color vision is based on comparisons between only L and M cones does not account for data from human psychophysics, which indicates that there is an S-cone contribution to red-green, as well as blue-yellow color perception. These considerations lead DeValois and DeValois to use a bottom-up approach, based on anatomically-suggested connections known at the time, in proposing a third stage of cortical processing in which signals from S-opponent cells were added to, or subtracted from, the L- and M-opponent units to split and rotate the geniculate L/M response axis into separate red-green and yellow-blue color channels, and separate luminance from color (DeValois and DeValois 1993). While an additional stage of higher-level cortical processing is one possibility, understanding how such complicated neural circuitry could have arisen during evolution has been difficult.
72.3 Color Vision from an Evolutionary Perspective
Our dichromatic, or red-green colorblind, primate ancestors had only two types of cone, S and L cones and, presumably, they also had similar circuits underlying their vision as modern-day dichromats. Results from molecular genetics indicate that trichromatic color vision arose relatively recently from a gene duplication event that added M cones. In order for this low-probability genetic event to get passed-on and eventually confer routine trichromacy to Old World primates, including humans, it must have produced an immediate advantage for the primate ancestor by adapting some pre-existing visual circuit for a new purpose. One candidate circuit would have been the high-acuity spatial vision circuit; the primate midget system or its precursor, which compared L vs. L cones to provide achromatic luminance signals. A second candidate would have been the pre-existing color vision circuit which compared S vs. L cones to provide blue-yellow color vision. If the first possibility is correct, then additional changes in the post-synaptic circuitry would have been required over time to separate red-green color signals from achromatic luminance signals. However, the ancient, pre-existing blue-yellow circuitry had already evolved mechanisms for filtering-out luminance signals and only responding to color. Thus, a more plausible explanation is that rather than ‘hijacking’ pre-existing luminance circuitry, the new class of M cone changed the input to the pre-existing blue-yellow circuit such that it automatically gave rise to a new dimension of redgreen color vision. That is, in a dichromat with only S and L cones, any circuits across the retina that compared spectrally different cones would have the same S vs. L opponency, but the addition of M cones would introduce a variety of possible
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comparisons, providing two different L/M receptive field organizations. When combined with S cones in the existing chromatic pathway, they produced two different chromatic signatures, one corresponding to red-green and another to blue-yellow color vision. This idea implies that luminance and color information become segregated as early as the initial inputs into primary visual cortex, and that the specialized functions of the higher-order cortical circuits are imposed by the character of the peripheral receptor mosaic.
72.4Evolutionary Constraints Lead to an Extension of Devalois’ Model
Short wavelength cones are an evolutionarily ancient photoreceptor type and blueyellow color vision, based on comparisons between S cones and longer-wavelength cones, appears to be the ancestor from which all other color vision evolved. DeValois and DeValois explained their multi-stage model in terms of S-cone input being either added to or subtracted from the red-green system. However, from an evolutionary perspective, it was actually a new M cone input that was either added to the ‘center’ or the ‘surround’ of pre-existing blue-yellow opponent receptive fields, in order to give rise to separate red-green and blue-yellow systems. In primates, the S cones have only two significant outputs: (1) a straight-through output to the receptive field center of S-cone-specific bipolars which, in turn, output to the small bistratified ganglion cells (Fig. 72.1, upper panels) providing a ‘blueon’ signal (Dacey and Lee 1994), and (2) input via H2 horizontal cells to adjacent cones (Dacey et al. 1996), which then output to ganglion cells via L/M cone specific bipolar cells (Fig. 72.1, lower panels). The blue-ON bistratified ganglion cell is considered to be a candidate for providing the basis for blue-yellow color vision. However, this cell type would have been little affected in its spectral response characteristics by the addition of M cones to the retina; the center would remain unaltered due to the S-cone specific connections made by small bistratified cells, and the surround would be transformed from ‘L’ to ‘M+L.’ Thus, the simple addition of a third cone type would not ‘split’ this ganglion cell class into two spectral types, as required by the evolutionary constraint that the addition of a third cone type produced an immediate advantage for primate ancestors by adding a new dimension of color vision.
From an anatomical perspective, there is only one other plausible circuit that could be the basis for blue-yellow perception: L/M midget ON and OFF ganglion cells that receive S-cone input in their receptive field surrounds via H2 horizontal cells. Most retinal electrophysiologists would argue from recordings in both the retina and LGN that this type of S-cone input is not observed. Given the paucity of S cones in the retina, it is conceivable that the S-inputs that are transmitted by a correspondingly small percentage of midget cells may have been overlooked in earlier electrophysiological recordings; however, midget cells with these response characteristics have recently been reported by Tailby and colleagues (Tailby et al.
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Fig. 72.1 The addition of M cones to a dichromat only changes the ‘surrounds’ of small bistratified ganglion (SBG) cell receptive fields, and all SBGs continue to have similar spectral response properties, making them an unlikely substrate for hue sensations of red, green, blue, and yellow. In contrast, both the ‘center’ and ‘surround’ of midget ganglion (MG) cell receptive fields become altered by the addition of M cones, splitting the pre-existing blue and yellow circuits each into two organizations with distinct spectral response properties and providing a biological basis for separate blue-yellow and red-green systems, with only a single change in the cone mosaic. H2 horizontal cells are labeled
2008). If midget ganglion cells with S-cone-surround input are the basis for the primordial blue-yellow system, the evolutionary steps leading to a new dimension of red-green color vision were as follows. In the dichromatic primate fovea, each L cone has a private connection with two different bipolar cells and two midget ganglion cells, providing an ONand OFF-pathway for each L cone. The cones are also interconnected by an inhibitory network in which lateral connections are provided
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by horizontal cells. This is the functional unit of the retina; it acts to compare the light absorption of a single cone to the average light absorption of its neighbors. It is set in such a way that if the activity of a cone is equal to its neighbors, then the antagonistic interaction between center and surround results in no signal. If the center cone is more active than the surrounding cells, then a signal is sent through the ON pathway, and if the center is less active than the surround, the OFF pathway becomes activated. This initial round of lateral inhibition between adjacent cones gives rise to two classes of midget ganglion cells. One class receiving input from an L-center, L-surround receptive field would be spatially-opponent and responsible for signaling high resolution spatial luminance contrast; presumably, ‘whiteness’ through the ON-pathway and ‘blackness’ through the OFF-pathway. These signals are then propagated to the lateral geniculate nucleus and then on to primary visual cortex. In order for this luminance system to function properly, there must also be a second round of lateral antagonism at the level of the visual cortex. The reason for this is that intrinsic noise is very high in cone photoreceptors and ganglion cells produce random action potentials at a high rate in the dark. If cortical-level antagonism did not filter-out these random signals, they would produce a constant pattern of white noise that would be interpreted as a constantly changing blotchy luminance pattern.
In the same dichromatic primate, the second, smaller population of midget ganglion cells that receives input from an L-center, S + L surround receptive field would be spectrally-opponent. Diffuse blue light would cause the L-OFF midget ganglion cell to become activated via S-cone input from the surround, which is inverted at the H2 horizontal cell synapse; thus paradoxically, this OFF-cell would also be carrying an S-ON signal. Likewise, diffuse yellow light would cause the L-ON midget ganglion cell to fire, and it would have an S-OFF response characteristic due to the sign-reversal via H2 horizontal cells. In the circuitry proposed here, there is a total of four midget cell types – luminance ‘ON’ and ‘OFF,’ and S ‘ON’ and ‘OFF’ cells – exactly as is required as the substrate for the sensations of white, black, blue, and yellow, respectively. In contrast to the ‘blue-ON’ small bistratified ganglion cells discussed above, the opponent midget ganglion cells satisfy the evolutionary constraint that the addition of a third class of cone produced the immediate advantage of a new dimension of red-green color vision. That is, when M cones were randomly added to the pre-existing midget system, the spectrally-opponent ganglion cells would have automatically become segregated into two different classes. The center of the receptive field would become either ‘L’ or ‘M;’ accordingly, the receptive field surrounds were transformed to either ‘M + S’ or ‘L + S,’ automatically producing midget cells with two different spectral response characteristics–one corresponding to red-green and the other to blue-yellow color vision (Fig. 72.1, lower panels).
Following the DeValois and DeValois multi-stage color model, all four hue percepts are the result of circuits with input from S cones, and the relationship between cone inputs and hue is as follows: the perception of red comes from a neural comparison between (S+L)-M; green from M-(S+L); blue from (S+M)-L; and yellow from L-(S+M). As explained above, it is possible to extend DeValois’ model in proposing
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a straightforward mechanism to form these circuits. Simply, midget ganglion cells that have inhibitory S-cone input in their surround become the basis for hue circuits in the cortex. The cone forming the receptive field center can be either L or M, and the ganglion cells can be either ON or OFF center. The resulting four possible combinations correspond to the four main hue perceptions. An ON-center ganglion cell receiving input from an M cone center with S and L cones in the surround makes M- (S+L) – green; the same receptive field through an OFF-center ganglion cell makes (S+L)-M – red. An L cone center with an M and S surround makes L-(S+M) – yellow; that same receptive field through an OFF-center ganglion cell produces (S+M)-L – blue. Accordingly, cortical neurons receiving input from receptive fields containing only M and L cones are the basis for luminance circuitry and give rise to achromatic white percepts through the ON pathway and black percepts via the OFF pathway. Thus, even though L/M opponent receptive fields result in midget ganglion cells and LGN cells that respond both to color and luminance, the second round of lateral antagonism at the level of visual cortex nulls the spurious color signals, leaving this circuit dedicated to the original purpose for which it evolved – responding to luminance signals only.
72.5The Possibility of Gene Therapy to Cure Red-Green Colorblindness
An important implication of the color vision model described here is that it should be possible to cure human red-green colorblindness, even in adults. A rapidly progressing field in molecular biology has been viral vector-mediated gene therapy, with great strides being made in the area of vision disorders, in particular. We have recently demonstrated that it is possible to target therapeutic transgenes specifically to cone photoreceptors in primates (Mancuso et al. 2007). Because all of the circuitry required for taking advantage of a third cone type is already present in dichromatic individuals, it should be possible to transform an adult dichromat to a trichromat with full red-green color vision through the simple addition of the missing photopigment to the retina. The model described here implies that gene therapy would recapitulate what occurred during the evolution of trichromatic color vision in our primate ancestors, and the addition of a third cone type would split the dichromat’s existing blue-yellow circuits into two classes, one for red-green and the other for blue-yellow color vision.
As discussed above, an unresolved problem in color vision has stemmed from the fact that most cells in the lateral geniculate nucleus respond to both color and luminance variations and confound them. When considering this problem, DeValois and DeValois commented, ‘The Standard Model [i.e., the two-stage opponent-process theory] has one color system (the RG system) based on the outputs of the L and M cones, some 90–95% of the cone population, whereas the whole YB system is centered on just the remaining 5–10% of the cones, the S cones. Such an imbalance seems inherently implausible, and one of the considerations that led us to our
