{'fraction_non_alphanumeric': 0.032430002568713076, 'fraction_numerical': 0.022572566144361674, 'mean_word_length': 5.059338521400778, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Validating Fluorescent Chrnb4.EGFP Mouse Models for the Study of Cone Photoreceptor Degeneration

Purpose To validate the application of a known transgenic mouse line with green fluorescent cones (Chrnb4.EGFP) to study cone photoreceptor biology and function in health and disease. Methods Chrnb4.EGFP retinas containing GFP+ cones were compared with retinas without the GFP transgene via immunohistochemistry, quantitative real-time polymerase chain reaction, electroretinograms, and flow cytometry. The Chrnb4.EGFP line was backcrossed to the mouse models of cone degeneration, Pde6ccpfl1 and Gnat2cpfl3, generating the new lines Gnat2.GFP and Pde6c.GFP, which were also studied as described. Results GFP expression spanned the length of the cone cell in the Chrnb4.EGFP line, as well as in the novel Gnat2.GFP and Pde6c.GFP lines. The effect of GFP expression showed no significant changes to outer nuclear layer cell death, cone-specific gene expression, and immune response activation. A temporal decrease in GFP expression over time was observed, but GFP fluorescence was still detected through flow cytometry as late as 6 months. Furthermore, a functional analysis of photopic and scotopic electroretinogram responses of the Chrnb4 mouse showed no significant difference between GFP− and GFP+ mice, whereas electroretinogram recordings for the Pde6c.GFP and Gnat2.GFP lines matched previous reports from the original lines. Conclusions This study demonstrates that the Chrnb4.EGFP mouse can be a powerful tool to overcome the limitations of studying cone biology, including the use of this line to study different types of cone degeneration. Translational Relevance This work validates research tools that could potentially offer more reliable preclinical data in the development of treatments for cone-mediated vision loss conditions, shortening the gap to clinical translation.


Introduction
Inherited retinal degeneration (IRD) is a major contributor to early onset blindness worldwide, with an estimated incidence of 1:2000. 1 The recent advances in genetic therapy for IRD have provided exciting clinical and preclinical validation of novel treatments, but have also highlighted some of the existing knowledge gaps surrounding disease pathways, hindering the discovery of potential new therapeutic targets. Mutations in more than 250 genes are known to cause IRD, making it one of the most genetically diverse group of diseases (RetNet, https: //sph.uth.edu/RetNet/). 2 IRDs do, however, share a key feature: progressive dysfunction and death of the light-sensing retinal photoreceptor cells. Cone photoreceptors, the photoreceptor cells responsible for daylight and high-acuity vision, are particularly susceptible to degeneration in IRD and other complex vision loss disorders such as age-related macular degeneration. IRD-causing mutations have been reported in genes that are either common to both photoreceptor types (cone-rod dystrophies) or specific to either rod or cone genes (rod or cone dystrophies, respectively). 3 Interestingly, cone photoreceptors seem appear to be particularly sensitive, with altered cone function and cone loss occurring even when the genetic lesion is present in a rod-specific gene. Despite cones being essential to maintain good quality vision, research into cone biology has lagged behind that of rods. This is largely because cones comprise a small percentage of the total number of cells in most mammalian retinas (3%-5% in the mouse and human retinas), 4 making it extremely difficult to study these cells in isolation.
Mouse models have become an invaluable tool for studying IRDs, as they allow for the in-depth analysis of functional, structural, and molecular changes of the retina in response to photoreceptor degeneration, offering unprecedented insight into retinal disease pathogenesis. Given the similarities in retinal physiology and visual processing function between humans and mice, several naturally occurring mutant and transgenic mouse models of IRD have been validated for studying disease mechanisms. 5 However, the lack of a concentrated cone photoreceptor population in the mouse retina, such as the macular region of the human retina, along with a 30:1 rod to cone ratio, has made the localization and visualization of cone photoreceptors in the mouse retina historically very challenging.
Several studies into the biology of cones in health and disease have relied on data from animal models of a disorder called achromatopsia, one of the few IRDs that affect cone photoreceptors exclusively. 6 Also referred to as rod monochromacy, achromatopsia is a devastating early onset disease estimated to affect 1:30,000 to 1:50,000 people worldwide. 7 Clinical symptoms start at birth/early infancy and include not only completely absent color discrimination with no recordable electroretinogram cone function, but also congenital pendular nystagmus, poor visual acuity, severe photophobia, and hemeralopia. 7,8 Mutations in six genes, specific to cones and essential for their function and development, have been reported to cause achromatopsia: CNGA3, CNGB3, GNAT2, PDE6C, PDE6H, and ATF6. 8 In vivo retinal imaging has shown a highly variable range of cone photoreceptor integrity and structure between patients with achromatopsia, and, more important, it is variable between the genotypes. [9][10][11] Achromatopsia has been historically considered a stationary disease with absent cone function from birth, leading to the notion that cones in these patients did not undergo active degeneration throughout their lifetime. 12 However, several cross-sectional and longitudinal studies have reported disease progression over time mainly in CNGA3 and CNGB3 patients, [13][14][15] but also in GNAT2 15,16 and PDE6C. 17 Some of these studies indicate that there might be a higher rate of cone deterioration within the first years of life that then becomes stationary in older patients. 14,17 Indeed, gene rescue therapy studies have demonstrated the presence of an optimal treatment window in the CNGB3 −/− mouse and dog models. 18,19 With five active clinical trials testing gene therapy treatments for achromatopsia (clinicaltrials.gov; NCT03278873, NCT03758404, NCT02935517, NCT02599922, and NCT02610582), understanding the differences in disease progression and varying levels of cone integrity and structure between genotypes will have crucial implications in the design and results of these trials.
To circumvent the problems associated with cone studies, researchers in the field were given an elegant solution a decade ago by Siegert et al. In this pivotal study, Siegert et al 20 analyzed the retina of 536 mouse lines created by The Gene Expression Nervous System Atlas project (GENSAT, The Rockefeller University, New York, NY). 21,22 Each of these lines express the green fluorescent protein (GFP) driven by different bacterial artificial chromosomes and their screening allowed for the identification of several mouse lines where retinal cell types were selectively labelled. One of these lines was the Chrnb4.EGFP line where the enhanced GFP (EGFP) gene was inserted upstream of the cholinergic receptor nicotinic beta 4 subunit (Chrnb4) gene, producing easily identifiable cone photoreceptors that exclusively express GFP throughout the entirety of the cone cell, from the outer segments to the synapse feet. This greatly facilitated cone visualization and isolation from the remaining retinal cellular population. Since its publication, the Chrnb4.EGFP mouse model has been used in only three cone-related studies. [23][24][25] The full potential of this novel transgenic mouse model as a research tool for the study of cone-related diseases has yet to be fully exploited, and very little is yet known about the expression of Chrnb4 in the mouse retina in relation to the reliability of cone-specific GFP expression and any long-term effects on cone viability and function.
This study investigates the effects of GFP expression in the Chrnb4.EGFP mouse line on cone cell biology, including cone-specific gene expression and physiology, to evaluate the potential of this line as a research tool to advance our understanding of cone biology and disease. It also describes two transgenic cone degeneration mouse lines created by crossing the Chrnb4.EGFP line with two previously described [26][27][28] mouse models of achromatopsia, the Pde6c cpfl1 and the Gnat2 cpfl3 , together with an evaluation of the suitability of these newly created lines to study conespecific disease mechanisms.

Animal Models and Genotyping
All mice were group housed in a climate-controlled facility on a 12-hour light/dark cycle with food and water ad libitum. All experiments were approved by the University of Western Australia and Harry Perkins Medical Institute's Institutional Animal Care and Use Committees, and conducted in accordance with the ARVO Statement for the Use of Animals in Ophthalmic and Vision Research. The Chrnb4.EGFP mouse strain (STOCK Tg(Chrnb4-EGFP)CL200Gsat/Mmnc, RRID:MMRRC_000259-UNC), was obtained from the Mutant Mouse Resource and Research Center (MMRRC) at the University of North Carolina at Chapel Hill, an National Institutes of Health-funded strain repository, and was donated to the MMRRC by Nathaniel Heintz, PhD, of the Rockefeller University, GENSAT. 22 Two cone degeneration mouse models of achromatopsia were used in this study: Gnat2 cpfl3/cpfl3 , a mild symptomatic, late onset cone disorder (JAX stock #006795; B6.ALS-Gnat2 cpfl3 /Boc), 27 and Pde6c cpfl1/cpf11 (JAX stock #003678; B6.CXB1-Pde6c cpfl1 /J), 26,28 a severe, early onset cone degeneration. 29 Both lines were obtained from the Jackson Laboratory (Bar Harbor, ME). The Chrnb4.GFP (EGFP is referred to as GFP only from here on) was subsequently crossed with both cone degeneration models to produce the novel mouse lines designated Gnat2 cpfl3/cpfl3 .GFP and Pde6c cpfl1/cpf11 .GFP (referred to as Gnat2.GFP and Pde6c.GFP from here on). All three lines were then backcrossed on to a C57BL/6J background for 8 generations. Genotyping for all lines was outsourced to TransnetYX (Cordova, TN).

Tissue Processing and Immunohistochemistry
Immunohistochemistry and terminal deoxynucleotidyl transferase dUTP nick-end labelling (TUNEL) processing and analysis were performed according to previously published protocols. 30 Briefly, eyes were collected from all lines at different ages indicated in the figures and fixed in 4% paraformaldehyde (Electron Microscopy Slides, 15710) for 1 hour on ice. Cornea and lens were then dissected out and eyes incubated in 4% paraformaldehyde for another 1 hour on ice. They were then incubated in 20% sucrose overnight at 4°C. The following day eyes were frozen in optimal cutting temperature compound (Tissue-Tek O.C.T. Compound, Emgrid, Australia) and stored at −20°C before sectioning. Retinal sections were collected on superforst slides (Hurst, Australia) and cut using a Leica (Wetzlar, Germany) Cryostat CM3050 at 14 μm. For immunohistochemical staining, slides were blocked for 1hour in blocking solution (1% w/v bovine serum albumin [Bovogen Biologicals, BSAS0.1, Keilor ) at room temperature then incubated overnight at 4°C with primary antibody diluted in blocking solution. The following day, slides were washed in 1× PBS and incubated for 2 hours at room temperature with Alexa-Fluor 546 conjugated secondary antibody (1:500). For GFP only staining, the secondary antibody incubation was not necessary as the anti-GFP primary was already conjugated. Slides were then washed in 1× PBS several times, incubated in 4 ,6-diamidino-2-phenylindole (1:1000, Sigma-Aldrich, D9542-5MG) solution for 5 minutes, mounted using fluorescent mounting media (DAKO, Glostrup, Denmark) and allowed to dry at room temperature before imaging. Primary antibodies used include rabbit anti-cone arrestin, (Arr3, 1:1000, Millipore AB15282, Billerica, MA) and rabbit anti-GFP Alexa Fluor 488 conjugated (1:500, Invitrogen, Carlsbad, CA; #A-2131); and secondary antibody Goat Anti-Rabbit IgG H&L Alexa Fluor 568 (1:500, Abcam, Cambridge, UK; ab175471). Retinal wholemounts for CD45 and collagen IV staining followed a previously published protocol. 31 Image acquisition was done on a Nikon A1Si confocal microscope and images captured on an Andor 885 EMCCD camera with the NIS Elements imaging software.

Electroretinogram (ERG)
Retinal function was evaluated via full-field flash scotopic and photopic ERG recordings using the HMsERG system (OcuScience LLC, Rolla, MO). Mice were dark adapted overnight and handled subsequently only under dim red light. Mice were anaesthetized with isoflurane and pupils dilated by applying 1% tropicamide (MYDRIACYL; Alcon, Geneva, Switzerland) to the surface of the cornea. A drop of 2% Hypromellose (GONIOVISC, HUB Pharmaceuticals, LLC, Rancho Cucamonga, CA) solution was also applied to the cornea to keep it moist throughout the recordings. Sedated animals were placed on a heating pad kept at 37°C and a stainless steel ground electrode was placed subdermally above the base of the tail and reference electrodes were placed subdermally in each cheek along the jaw line in an anterior direction. The eye electrodes combined a silver thread with a contact lens and was placed on top of the cornea for each eye. The mice was then placed under the Ganzfeld dome to ensure a uniform illumination stimulus was presented. 30 For scotopic recordings animals were dark adapted for 8 to 12 hours and a dark-adapted single-flash intensity series was obtained through presentation of 1ms flashes with the following intensities (all in cd.s.m −2 ): 0.1, 0.3, 1, 3, 10, and 25. The time interval between consecutive flashes and the number of times the stimulus was repeated (for subsequent averaging) was 10 seconds and four repeats at 0.10 Hz. Recovery time between different intensities was 60 seconds. Photopic recordings were obtained on a different day therefore animals had not been dark adapted. Following a 10-minute light adaptation at 30 cd.m −2 , a series of flashes on a 30 cd.m −2 background was presented at 2 Hz of the following intensities (all in cd.s.m −2 ): 0.01, 0.03, 0.1, 0.3, 1, 3, 10, and 25. The time interval between consecutive flashes and the number of times the stimulus was repeated (for subsequent averaging) was 0.5 seconds and 32 repeats. Before analysis of band a-waves, a lowpass 150-Hz filtering was applied and data were analyzed using the ERGView Software

Cell Dissociation and Flow Cytometry Analysis
Three different proteolytic enzymes were initially assessed for retinal cell dissociation on 2-monthold Gnat2.GFP mouse retinas (Papain: LK003176, Worthington Biochemicals, Lakewood, NJ; Trypsin type XI: T1005, Sigma-Aldrich; Liberase: 5401119001, Roche, Basel, Switzerland). Each enzyme was tested in three independent experimental repeats (minimum of n = 3 per repeat) conducted on different days. Data from 6-month-old mouse retinas for average GFP + cell quantification were obtained after the papain dissociation protocol (minimum of n = 5 per mouse line). The trypsin and liberase protocols were taken from previously published studies, 31,33,34 while the papain protocol was adapted from Barber et al 35

Statistical Analysis
Statistical analysis was performed in GraphPad PRISM software. The Student t-test or two-way analyses of variance were used to identify statistical significance (P < 0.05), using Bonferroni's post hoc test where applicable. All data represented are represented as the mean ± standard error of the mean.

Retinal GFP Expression Is Exclusively Localized to Cone Photoreceptors
Our genotyping results showed that, in all three lines, the GFP allele was only present in a heterozygote state, suggesting that homozygosity is most likely embryonically lethal (data not shown). To confirm and validate the expression of GFP exclusively in cone photoreceptors in the newly crossed Pde6c.GFP and Gnat2.GFP lines, retinal cryosections were stained for the cone-specific cell marker cone arrestin (Arr3) (Fig. 1). The endogenous expression of GFP in the transgenic lines was low, requiring a GFP antibody for stronger visual detection through immunohistochemistry. As shown in postnatal day 24 (P24) Chrnb4.GFP retina (Fig. 1), cone photoreceptors were aligned along the apical edge of the outer nuclear layer (ONL), facing away from the vitreous cavity. Expression of both cone arrestin (Arr3) and GFP was seen throughout the length of the cone cells, including the outer segments, cell bodies and synapse terminals. This pattern of staining was also noted in Gnat2.GFP and Pde6c.GFP P24 retinas (Fig. 1). As expected, and in line with previous reports for these mouse lines, 26,28,36 there was an observed disorganization of cone photoreceptors in both of the novel transgenic achromatopsia mouse models, as well as reduced Arr3 fluorescence in the cell bodies. This observed phenotype was found to be more severe in the Pde6c.GFP line, correlating with previous studies in the original Pde6c cpfl1 mouse line. 36

GFP Expression Does Not Affect Cone Cell Function
To ensure GFP expression did not have a detrimental impact on visual function, electroretinogram (ERG) recordings were performed on Chrnb4.GFP, Gnat2.GFP, and Pde6c.GFP mice at P60 (Fig. 2). Figure 2A shows the average traces (n ≥ 3) of the photopic and scotopic response for each line. There were no significant differences in photopic and scotopic responses between Chrnb4 GFP + and GFP − mice ( Figs. 2A, B). Scotopic responses of the Gnat2.GFP and Pde6c.GFP lines revealed no statistical significance compared with Chrnb4.GFP, but a slightly lower b-wave response at the 10 cd.s/m 2 intensity for the Pde6c.GFP was observed, as seen in previous studies (Fig. 2F) 37 . Photopic responses ( Fig. 2A) were not measurable for the Pde6c.GFP line but a diminished response was recorded in the Gnat2.GFP line. Both these results are consistent with previous reports on these lines. 26,27

GFP Expression Does Not Affect Cell Survival or Cone Biology, But Decreases with Age
Next we determined if expression of GFP driven by the Chrnb4 promoter affected cone cell health/survival or molecular function. Cell death in the ONL of P24 Chrnb4.GFP mice was identified by TUNEL staining and revealed no difference between GFP + and GFP − retinas (Figs. 3A, B). Due to the harsh nature of the membrane permeabilization steps required in the TUNEL assay, GFP visualization was not possible. Thus, we are unable to separate cone versus rod death in the ONL. However, the number of TUNEL + cells localized within the most apical section of the ONL (where cone cell bodies are found) was not significant between GFP + and GFP − retinas (P = 0.133, data not shown). Further, qPCR data showed no significant difference between P24 GFP + and GFP − retinas in the expression of cone-specific genes (Gnat2, Pde6c, Cnga3, Arr3, and Opn1mw) (Fig. 3C). To evaluate if sustained expression of GFP could generate an inflammatory response, retinal wholemounts from P60 GFP + and GFP − Chrnb4.GFP mice were co-stained with the pan leukocyte anti-CD45 marker and the anticollagen IV antibody to visualize blood vessels. As shown in Figure 3D, CD45 + cells were only found within retinal vessels in both genotypes, indicating that the presence of GFP does not elicit leukocyte cell infiltration within the retina. To evaluate the temporal expression of GFP at the protein and messenger RNA level, immunohistochemical staining and qPCR were performed at P12, P24, P32, P40, P60, P90, and 8 months of age (n = 3 at each age) (Fig. 4 and Supplementary Fig. 1). There was a strong GFP signal at P12 (Fig. 4A), which diminished with age; in 8-month-old retinas, the GFP signal was only detected with much brighter imaging settings and not present in all cone cells (Supplementary Fig. 1). At the messenger RNA level, GFP was most highly expressed at P12, and showed a significant decrease with age until P40 (P < 0.05, Fig. 4C), where GFP expression plateaued. To determine if the decline of GFP expression was driven by decreased expression of the Chrnb4 promoter over time, expression of Chrnb4 was assayed. As shown in Figure 3D, there was a temporal decrease in Chrnb4 expression with age, with a significant decrease between P32 and P40 (P = 0.03).

GFP Is a Reliable Marker for Identifying and Isolating Cone Cells Regardless of Age
Despite the observed decrease in GFP expression over time, we nevertheless wanted to evaluate the efficacy of a more sensitive method such as flow cytometry, for cone detection. We initially examined three proteolytic enzymes commonly used in tissue dissociation to determine the optimal enzymatic digest protocol and sensitivity as defined by the number of GFP + cones from one of our disease models, the Gnat2.GFP, tested at a stage where GFP expression is low but still mostly present (P60). The three enzymes tested (papain, trypsin, and liberase) showed varying degrees of efficiency, but papain dissociation resulted in significantly more GFP + cells (Figs. 5A-E; P < 0.003) and a significantly lower percentage of dead cells (27%; P < 0.05). The liberase and trypsin protocols had a similar percentage of dead cells (44% and 46%, respectively), but the liberase protocol generated the lowest number of GFP + cells (Fig. 5E), a loss of defined cell populations (Fig. 5A), and an observed change in morphology of GFP + cones (Fig. 5C). We then investigated the sensitivity of flow cytometry to detect GFP + cones at a later time point when GFP expression was shown to have decreased further. We were able to demonstrate that GFP + cones can still be detected at this age, and the difference in cone numbers between Chrnb4.GFP, Gnat2.GFP, and Pde6c.GFP is shown in Figure 5F. Relative to Chrnb4.GFP, Pde6c.GFP and Gnat2.GFP retinas showed a significant 85% (15.6 ± 6.2%; P = 0.005) and 44% (66.6 ± 15.6%; P = 0.228) decreases in cone numbers, respectively.
After defining the optimal dissociation protocol for flow cytometry of GFP + cones, we evaluated the potential of using the new GFP + achromatopsia lines for isolating a pure cone population using FACS for single cell applications. Figure 5G shows the representative scatter plots of the cell gating strategy used to sort a highly enriched cone population from two P24 Gnat2.GFP retinas. Single cell sorting was done on all three lines and post-sort analyses showed a consistent 90% to 95% purity in the sorted cell populations (Fig. 5G).

Discussion
GFP is an extremely versatile biomarker; it has been used extensively in different species and tissue types to identify and track various cell populations. 38,39 For the study of scarce cell populations, such as cone photoreceptors, the visualization, identification, and ability to isolate them from other retinal cell types is important in advancing our understanding of their function, for example, for use in single cell transcriptome sequencing. 40 Although the expression of an exogenous protein has the potential to disrupt molecular and celular functions of the cell in which it is expressed, as noted with some fluorescent markers (e.g., dsRed), 41 GFP expression is well-tolerated in photoreceptors, with no deleterious effect on morphology or function. [42][43][44] Our data support this conclusion as no adverse effects of Chrnb4-driven GFP expression were found on cone viability, gene expression, immune system activity, or visual function, further validating the use of the Chrnb4.GFP line as a powerful tool to study cone biology in health and disease.
The characterization of cone function and biology has been hampered by a lack of suitable transgenic reporter lines or reliable cell markers that identify cone cells or cone lineage. The use of the Chrnb4 promoter is unique in its ability to direct retinal GFP expression exclusively in cone photoreceptors. Further, it expresses GFP in all cone subtypes, as evidenced by co-localization with the pan-cone staining marker cone arrestin. This strategy circumvents issues associated with using cone subtype-specific promoters, such as the one used in the transgenic OPN1LW-EGFP mouse, where the human OPN1LW promoter was used to target GFP expression mainly to M cones. [44][45][46] Furthermore, the suitability of this transgenic mouse line was seriously questioned when it was shown that the OPN1LW-GFP transgene integration site falls within a chromosomal region associated with dominant cone dystrophies (MCDR1 and PBCRA locus), 47,48 inducing an age-related cone degeneration phenotype in these mice. 44,46 Several cone-targeted transgenic mouse lines now exist; however, GFP expression is observed in multiple cell types. Crx-GFP identifies both rods and cones 49 and both Ccdc136-GFP and Lhx4-GFP lines target cone and bipolar cells. 40,50 In contrast, the Chrnb4.GFP transgenic line is the only line in which cones are selectively targeted and several studies have now used it in examination of retinal cell-specific transcriptomes, 23 cone development after transplantation, 24 and the involvement of microRNAs in cone survival. 25 The present study further validates the use of the Chrnb4.GFP line as the most reliable cone reporter mouse model currently available, albeit limited. From our present data with two mouse models of achromatopsia, we show that GFP expression in young retinas to be independent from disease progression. This contrasts with the expression/staining of other cone specific markers (including opsins, 25 arrestin, 51 and peanut agglutinin), 52 which are lost during disease progression, thus limiting their usefulness as disease-independent markers. The presence of GFP throughout the cone cell could also facilitate a more focused investigations during cone degeneration including synapse remodeling, outer segment breakdown and cone migration, which have been historically difficult to study due to expression variability during diseased states. We therefore believe that backcrossing disease models to the Chrnb4.GFP line can be an extremely efficient way to study early cone degeneration.

Age-Specific Limitations
Although the use of the Chrnb4.GFP mouse has produced promising results for cone photoreceptor investigations, limitations arise as GFP fluorescence is low and requires a GFP antibody for visual detection. As such, the low endogenous GFP expression precludes the use of in vivo visualization techniques such as fundus and OCT imaging. The temporal progression of GFP expression investigated in the Chrnb4.GFP line from P12 showed an age-dependent decrease in both gene and protein expression. However, GFP fluorescence was still detectable as late as 6 months via flow cytometry. The decrease in GFP expression we report coincides with a decline in Chrnb4 expression, indicating that the loss of GFP + cones with age is most likely linked to an endogenous decrease of Chrnb4 expression and not to a potential age-related loss of cones. Previous studies have shown conflicting data on cone loss and aging, with no change in cone numbers up to 2 years, despite a consensus on cone function declining with age. [53][54][55] In contrast, a more recent in-depth histologic analysis showed a 18% decrease in cone numbers at 12 months, more specifically in the ventral retina and focused on Mopsin cones. 56 Our histologic data show that with age, GFP expression levels per individual cone is decreasing, and the reduced number of visually identified GFP + cones indicates that some cones have lost GFP expression completely. Based on the data from these previous studies [53][54][55][56] , the potential cone loss within the time points analyzed in this study would be no more than 18%, suggesting that the loss of GFP expression seen with age is linked to the decreased activity of the Chrnb4 promoter and not to cone loss. It remains to be determined if the age-related GFP loss affects Sand M-cones differently as this was not investigated in this study. Future studies using these transgenic GFP mouse lines could encompass earlier time points with confidence, although, their use in studies involving age-related conditions (such as age-related macular degeneration), and IRDs models with later onset, might be limited due to the temporal decrease of GFP expression.

Future Applications of GFP Lines
The presence of GFP-expressing cones in mouse models of cone dystrophy such as achromatopsia will provide a substantial aid in the research of effective therapies for these conditions. The novel Gnat2.GFP and Pde6c.GFP achromatopsia mouse lines created for this study can now provide a more sensitive and reliable tool to investigate the effects of disease-causing mutations on cone photoreceptors and may be broadened to look at cone biology, disease mechanisms and drug discovery. Disease mechanisms can also be studied at the molecular level using techniques such as transcriptome analysis, where identification of potential markers can help in targeting drug therapy treatments. Our data show that isolating a pure cone population is feasible: single cones can be accurately sorted from the rest of the retinal cell population with a 90% to 95% accuracy, similar to data previously shown by Siegert et al 2012. 23 The previous inability, due to the lack of reliable cell surface markers, to reliably isolate mouse cones from the remaining retinal population, has hampered previous attempts to study cone biology in more detail. Our data showed significant enzyme-specific differences, with the papain-based protocol producing the greatest number of live cones. Therefore careful consideration should be taken when selecting the appropriate protocol for the use of these novel lines for flow analysis and its downstream applications. Despite of their limitations, using these lines for preclinical validation of cone-directed treatments could potentially offer more reliable and accurate data which would accelerate the clinical translation of future treatments.

Final Conclusions
Because cones are the cells responsible for bright light and color vision detection, it is imperative that we understand how these cells are affected in different types of vision loss conditions and what can be done to halt cell death and/or to improve survival rates. However, understanding the molecular mechanisms behind cone loss has lagged behind the genetic dissection of IRDs. This knowledge gap has impeded the development of effective treatment strategies that are strategically focused on preserving cone-mediated vision. The results presented in this study offer an in-depth validation of fluorescent mouse models as a tool to study cone biology in health and vision loss conditions. The novel achromatopsia mouse models validated in this study, Gnat2.GFP and Pde6c.GFP, could provide a useful tool to investigate the cellular and molecular mechanisms of cone dysfunction, and where future studies may be able to more accurately investigate the functional defects and molecular changes in cone photoreceptors associated with mutations in the Gnat2 and Pde6c genes.