- Research article
- Open Access
NanoSIMS observations of mouse retinal cells reveal strict metabolic controls on nitrogen turnover
BMC Molecular and Cell Biology volume 22, Article number: 5 (2021)
Most of the cells of the mammalian retina are terminally differentiated, and do not regenerate once fully developed. This implies that these cells have strict controls over their metabolic processes, including protein turnover. We report the use of metabolic labelling procedures and secondary ion mass spectrometry imaging to examine nitrogen turnover in retinal cells, with a focus on the outer nuclear layer, inner nuclear layer, and outer plexiform layer.
We find that turnover can be observed in all cells imaged using NanoSIMS. However, the rate of turnover is not constant, but varies between different cellular types and cell regions. In the inner and outer nuclear layers, turnover rate is higher in the cytosol than in the nucleus of each cell. Turnover rates are also higher in the outer plexiform layer. An examination of retinal cells from mice that were isotopically labeled very early in embryonic development shows that proteins produced during this period can be found in all cells and cell regions up to 2 months after birth, even in regions of high turnover.
Our results indicate that turnover in retinal cells is a highly regulated process, with strict metabolic controls. We also observe that turnover is several-fold higher in the synaptic layer than in cell layers. Nevertheless, embryonic proteins can still be found in this layer 2 months after birth, suggesting that stable structures persist within the synapses, which remain to be determined.
The mammalian retina is a highly important sensory organ, as it is in the retina that the first steps of vision processing occur . Photoreceptors in the mammalian retina are terminally differentiated—that is, no neurogenesis occurs after embryonic development to replace dead or damaged cells . Similarly, the structures of the mammalian eye have been observed to be home to various long-lived proteins (LLPs), which are proteins that are observed to have little to no turnover compared to normal proteins [3,4,5,6]. Rates of protein turnover in retinal cells, however, are of interest to researchers because a thorough understanding of metabolic processes in mammalian cells is important to studies of retinal regeneration using stem cell treatments, an area of active study .
To further investigate retinal turnover, we took advantage of the high spatial resolution of nanoscale secondary ion mass spectrometry (NanoSIMS), which can have a spatial resolution of up to ~ 50 nm using the cesium positive ion source . We combined these techniques with isotopic labeling procedures, where mice were fed food labeled with 15N for specific periods of time. These mice were divided into two groups, adult mice which were fed isotopically enriched food for a specific period of time (5 days, 14 days, 21 days, 60 days), and mice that were fed with isotopically labeled food beginning on embryonic day 7 through isotopically labeled food provided to the dam during pregnancy and after delivery until postnatal day 56. This enabled us to use 15N as a marker for the newly produced cellular elements , which in turn allows us to estimate the turnover of these structures.
The diet employed replaced the naturally occurring 14N with 15N for all molecules and metabolites. However, the ensuing sample preparation, in which retinas were fixed, ethanol-dried and embedded in a plastic resin, removed most of the lipids and small metabolites from the cells while preserving proteins and nucleic acids, which are relatively large molecules that can be well fixed. Although this method cannot characterize specific proteins, these experiments enabled an analysis of the turnover of nitrogen in these cells. Because nitrogen is a major component of many proteins and nucleic acids, areas of high nitrogen turnover suggest similarly high rates of protein turnover particularly in the nuclei, where DNA replication would substantially increase the local 15N levels. Conversely, in complete absence of any protein turnover, we would expect that no 15N would be incorporated into the cells.
In this experiment we primarily examined the photoreceptor cells within the outer nuclear layer (ONL), the synapses among and between retinal photoceptors, horizontal cells, and bipolar cells which can be found in the outer plexiform layer (OPL), and the bipolar and amacrine cells of the inner nuclear layer (INL) [10,11,12]. These analysis regions were chosen for their distinctive structures, which are easy to distinguish in SIMS even without the aid of correlative microscopy, and their importance to the visual function of the retina as a whole. We report in this study the first use of NanoSIMS techniques to visualize turnover within retinal cells, and also show that turnover rates vary between different cells and cell regions, although turnover rates increase in similar fashions over time.
15N/14N NanoSIMS images acquired from the ONL, OPL, and INL of all timed-labelling treatments showed evidence of abundant turnover during the experimental period (Fig. 1). The rate of turnover, however, was not constant and varied between different cellular regions. In all cases, the ONL and INL nuclei had a lower apparent rate of turnover than their corresponding cytosol regions (Figs. 2 and 3). The OPL had a substantially higher turnover rate than both regions of the INL and ONL (Fig. 4). These relationships are statistically significant at the 95% confidence interval (p < 0.05) (Table S1). Across all treatments, the ONL and INL nuclei had statistically indistinguishable amounts of turnover (p > 0.05), and the ONL and INL cytosol regions were statistically indistinguishable from each other except in the case of the 5 day treatments (Table S1). However, variation in the 15N/14N ratios of the ONL is greater than in the INL. (Fig. 5, Supplemental).
This larger variation applied both to the nuclei and cytosol regions. The amount of turnover for all regions rose with time at a consistent rate across all treatments, increasing by roughly five-fold (5.1 ± 0.3 times) between 5 days and 14 days, then increasing by 1.2 ± 0.1 times between 14 and 21 days, and finally increasing by 2.6 ± 0.3 times between 21 and 60 days. This observed rise in 15N/14N is statistically significant at the 95% level of confidence (p < 0.05) for all treatments and regions (Table S2).
These data can be used to calculate an apparent protein half-life in each of the retinal regions, using the formula by Schwanhäusser et al., (2011)  as modified in Mathieson et al., (2018) . When this calculation was performed, the following apparent half-lives were observed: 96.89 ± 0.26 days for the ONL nucleus, 61.66 ± 0.11 days for the ONL cytosol, 93.72 ± 0.31 days for the INL nucleus, 66.84 ± 0.13 days for the INL cytosol and 42.02 ± 0.08 days for the OPL.
Observations from mice fed entirely with 15N-labelled food from the seventh day of embryonic development (E7) to postnatal day 56 (P56), hereafter referred to as the ‘P56 mice’, indicated that a significant portion of the ONL and INL cells were produced prior to E7 (Fig. 6), as they still contained high levels of 14N which was only available to the animals during the first days of embryonic development. In these mice, the ONL (15N/14N = 1.45 ± 0.30) had a significantly lower 15N/14N ratio than the INL (15N/14N = 1.73 ± 0.61), which in turn had a significantly lower 15N/14N ratio than the OPL (15N/14N = 5.65 ± 1.59) (Table S3).
By using a simple mass model, we can compare the isotope ratios obtained from these mice with the isotope ratio we would expect if there were no embryonic proteins present. The mouse model used (male CD-1 mice, Harlan Winkelmann, Borchen, Germany), has an average weight at P56 (8 weeks after birth) of ~ 35 g, according to the information sheet provided by the supplier. For the mass of the mouse embryo at E7, we assume 0.026 g, the estimated mass at E10.5 according to Mu et al., (2008) . We acknowledge that the true mass at E7 is most likely less than the mass of the embryo at E10.5, however, the difference between the mass at E10.5 and the average adult weight of 35 g is sufficiently large that the comparatively small difference in mass between E7 and E10.5 is unlikely to significantly change the results of the model. However, it is worth pointing out this uncertainty as it is possible that our expected 15N/14N ratio based on the animal’s diet is likely an underestimate.
The isotopically enriched food provided to the animals between E7 and P56 is the 15N-SILAM diet from Silantes (Silantes, Germany; cat. Num. 231,304,650), which has an isotopic enrichment of > 98%. Assuming then a 14N concentration in the food of 2%, and assuming the beginning and ending weights of the animals as provided in the previous paragraph, we estimate that the 15N/14N ratio of the animal’s organic material if no embryonic proteins remained should be ~ 49 (the isotopic ratio of the food). If all embryonic proteins remained, and they were evenly distributed across the biomass of the animal, we would expect the animal’s 15N/14N ratio to be ~ 4.4 based on its mass. This represents a point at which 99.93% of the animal is isotopically enriched. Because this number is an underestimate, the actual level of enrichment is likely to be higher than our calculations.
Our observed 15N/14N ratios from the ONL and INL are 1.45 ± 0.30 and 1.73 ± 0.61 respectively. This is lower than both the expected isotope ratio of 49 if the animal’s biomass exactly matched the isotope ratio of the diet, and the calculated ratio of 4.4 if all embryonic proteins were evenly distributed across the animal’s body and suggests a relatively high concentration of embryonic proteins in these regions. This is not unexpected, as a significant portion of the nitrogen signal in the nucleus regions is made up of DNA, which does not undergo turnover in non-dividing cells. These ratios, however, are still higher than natural abundance, suggesting that the ONL and INL did take in isotopically labeled material during development.
The OPL 15N/14N ratio (5.65 ± 1.59) is still lower than the predicted ratio based on the animal’s diet if all embryonic proteins were replaced, suggesting that the OPL layer contained substantial levels of 14N-containing structures (most likely proteins) at P56, almost 2 months after birth. This implies that such proteins are extremely long lived, even in a compartment with as high a turnover rate as the synaptic areas from the OPL.
This study reports the first observations of turnover in retinal cells using SIMS analysis and isotope labelling techniques. Our observations using mice that had been labelled with 15N for specific periods of time show that abundant turnover can be observed in all cells. The observation that both the ONL and INL nuclei had longer apparent protein half-lives than their corresponding cytosols and thus, slower turnover rates, is consistent with the long-standing idea that DNA, which contains a large amount of nitrogen atoms, is not replaced in retinal neurons through cell proliferation after the completion of retinal development [16,17,18].
However, the similar apparent half-lives of the ONL and INL are surprising, as these cells fulfill different functions and rely on different molecular mechanisms . The observation that the 15N/14N ratios of the ONL were more variable than those in the INL is also surprising, as the cells of the ONL are presumably more homogenous than cells of the INL. This may indicate some level of Müller glia proliferation in the ONL, such as that which has been observed to occur after injury . This would increase the rate of turnover in localized areas of the nuclear layer, however, the mechanism for this proliferation remains to be determined.
When the data are viewed separated by time (Fig. 5), we can see that although the amount of turnover varied between cell types, the rate at which this turnover increased with time was constant across all cellular structures, suggesting a tight control on cellular metabolism across all cell types. The substantially shorter apparent protein half-life of the OPL suggests that the synaptic layers are particularly unstable in metabolic terms, in agreement with the rich literature on synaptic metabolism and turnover which indicates that the synaptic proteins and organelles typically have lifetimes of only a few days in the brain [21, 22].
Data from the P56 mice, which had been labeled with 15N since the seventh day of embryonic development, confirm that both the ONL and INL cells are metabolically “old”, retaining proteins from the first 7 days of embryonic development close to 2 months after birth. This is consistent with previous research that shows that these cells are terminally differentiated and do not regenerate, despite the fact that portions of the cell may experience turnover and exchange over the course of the organism’s life. The OPL, despite having a significantly shorter apparent protein half-life than the other regions, also appears to contain embryonic proteins 56 days after birth, implying the existence of stable structures within the synaptic layer. The identity of these structures remains to be determined. One hypothesis is that they may represent extremely long-lived proteins that make up the extracellular matrix of neuronal and synaptic structures [21, 23].
Even in the P56 mice, there were no structures which had a 15N/14N ratio at natural abundance (~ 0.0037). All structures in the P56 specimens show some level of 15N incorporation into the cells, although the cells of the INL and ONL have a markedly lower 15N/14N ratio than cellular areas with higher turnover. 15N incorporation into these cells during this time period is not unexpected, as cell differentiation in the mouse retina is not completed until P6 (center) or P11 (periphery) [18, 24]. Retinal neurogenesis continues until roughly P7 , well within the period where the mice were being fed isotopically labeled food.
We also observed in these mice that 15N is lower in the nuclei of the ONL cells than the INL cells. This suggests that the cells of the ONL are ‘older’ than those of the INL, containing more embryonic proteins. The observation is consistent with the timing of neurogenesis in the mouse retina, as the photoreceptor cells located in the ONL form earlier in development than most of the horizontal cells in the INL . Thus, it is feasible that the cells of the INL contain more of the isotopic label than ONL cells from the same time period. The observation that the amount of 15N incorporated into cells in the ONL varies from cell to cell is also consistent with established patterns of cellular differentiation and development, as rods and cones differentiate on separate timelines, with cones both initiating and completing their differentiation much later than rod cells. Rod nuclei make up about 97% of all photoreceptor cells in the mouse , and the formation of rod cells occurs between E13-P5, thus, the amount of new, 15N-labelled material into the photoreceptors may exhibit variation.
An interesting finding from both the P56 and the timed-labelling datasets is that in the timed-labelling experiment, there was very little difference between the observed rate of turnover in the INL compared to the ONL. However, in the P56 mice, the INL had a higher 15N/14N than the ONL, suggesting stronger 15N incorporation and thus, higher turnover. This further indicates that the difference in turnover rates between the ONL and INL in the P56 mice are due to differences in the growth and differentiation of these cells during development. Once these cells are mature, nitrogen turnover then occurs at a constant rate. This implies that the ONL and INL cells may be maintained by similar processes and mechanisms after initial differentiation, which remain to be determined.
Imaging with NanoSIMS is a highly time-intensive technique that limits the number of samples that can be measured for each experiment. Similarly, the isotope labelling methods used to create both the timed-labelling mice and the P56 mice are expensive treatments, which reduce the number of available samples. Thus, we acknowledge that our results, which examine retinal cells from one mouse per treatment for the timed-labelling experiments and which pool results from two mice for the P56 experiments are limited by sample size. However, these results show that the cells of the various retinal layers are complex structures, with varying mechanisms for turnover and change.
Additionally, these results serve as proof-of-principle for further, more targeted approaches with NanoSIMS, and highlight the usefulness of NanoSIMS techniques for examining subecellular metabolic processes in cells. While this study represents the first use of NanoSIMS to examine nitrogen turnover in the retina, the use of isotope labelling in conjunction with the high-resolution imaging techniques associated with SIMS is an established method for obtaining subcellular information across spatial and temporal scales . The use of isotope labelling to examine turnover and the growth of new cells has previously been performed in cardiomyocytes . Similarly, the application of stable isotope labels to highlight cells that were formed in early development, such as our P56 cells, has also been performed in a previous study which examined long-lived proteins in the mouse liver, pancreas, and brain . It is likely that the contribution of NanoSIMS techniques to this field will increase in future years as novel and creative applications of NanoSIMS imaging and stable isotope labelling are developed.
However, one enduring limitation of NanoSIMS imaging is that while chemical information can be obtained at high resolution, matching this chemical information with corresponding structures is difficult without employing some form of correlative microscopy (for example, see: [30,31,32]). In the case of this study, we took simple histology images of the cellular areas being measured (Fig. 1 and Supplemental). From these images, we can see that the cellular structures observed between the NanoSIMS and the optical microscope are similar.
Despite this, it can be difficult to state with certainty which chemical structures are contributing most strongly to observed turnover. For example, microRNA, which also contains high levels of nitrogen, has been observed to have high turnover in retinal neurons . Similarly, protein synthesis in the retina has been observed to be affected by light exposure [34, 35]. The extent to which light exposure may affect the observed turnover rates has not been evaluated in this study. The contribution of this turnover to the observed incorporation of 15N into retinal cells is yet to be determined and future research will be needed to better constrain these processes and effects.
Nitrogen turnover in the ONL, OPL, and INL regions of the retina is highly regulated, and increases at a consistent rate over time across all cells and cell regions. Despite the INL and ONL cells having highly different structures and functions, there is no discernable difference in turnover rates between these cells after initial differentiation, which may indicate that these cells are maintained by similar processes.
Turnover in the OPL is several-fold higher than within the cells. However, despite this higher turnover, the OPL contains embryonic proteins even 2 months after birth, suggesting that the synaptic layer contains stable structures with low turnover and long lifetimes. The identity of these structures is currently unknown, but could be the subject of future research.
These results represent the first examination of turnover in retinal cells using NanoSIMS imaging techniques and highlight the potential of NanoSIMS analysis techniques and isotope labelling for further examinations of turnover and cellular age in organisms. Further applications of this technique to other sensory organs or cellular regions are likely to be forthcoming.
Acquisition and preparation of retinal samples
All timed-labelling mouse experiments were approved by the local authority, the Lower Saxony State Office for Consumer Protection and Food Safety (Niedersächsisches Landesamt für Verbraucherschutz und Lebensmittelsicherheit). Adult (> 3.5 months old) wild-type male mice (C57BL/6JRj) were purchased from Janvier Labs (Germany). Mice were habituated to unlabeled 14N-SILAM diet for 1 week before labelling (Silantes, Germany; cat. Num. 231,004,650). Mice were then labeled with the 15N-SILAM diet (Silantes, Germany; cat. Num. 231,304,650) as described in previous studies [21, 36], for defined times (respectively 5, 14, 21 and 60 days before perfusion). The experiment was designed to sacrifice and process all animals at the same time, to avoid variability during sample processing. Animals were euthanized with CO2 and immediately processed for intracardial perfusion, with minor adaptations from the method previously described in Gage et al., (2012) . Briefly, the heart was first exposed, after which the animal blood was washed first with cold (4 °C) phosphate-buffered saline (PBS) and then with perfusion buffer (4% PFA in PBS at pH 7.4) for 3 min at a flow rate of ~ 10 ml/min. Upon perfusion, organs were harvested, including eyes. Eyes were extracted under a stereomicroscope and post-fixed overnight in fixative at 4 °C prior to embedding.
After fixation, the extracted tissue pieces were washed three times with 0.1 M cacodylic buffer (pH 7.4, Sodium cacodylate buffer 0.2 M, 11650, Electron Microscopy Sciences) for 5 min each. For osmication and further processing we first placed the tissue pieces in 1% osmium tetroxide (4% osmium tetroxide, 19,140, Electron Microscopy Sciences, Hatfield, PA, USA) in 0.1 M cacodylic buffer (pH 7.4) for 1 h at room temperature. After 4 wash steps with double distilled water (5 min each), samples were placed in a solution of 1% uranyl acetate (uranyl acetate, powder, E22400, Science Services, Munich, Germany) in double distilled water (ddH2O) for 1 h at room temperature in the dark. Subsequently, we washed the samples with ddH2O 3 times for 5 min each. The samples were dehydrated in a graded series of ethanol (30, 50, 75 and 100%, 5 min each) with a final dehydration in propylene oxide for 5 min at room temperature prior to resin infiltration with a 1:1 mixture of propylene oxide and EPON (Embed-812, 14,121, Electron Microscopy Sciences) for 1 h and two fresh replacements of 100% EPON (first for 1 h, second over night at 4 °C). For the final embedding the samples were placed between two slides of ACLAR polymer film (ACLAR Fluoropolymer film, E50425, Science Services) and covered with fresh EPON resin. Resin curing occurred in an oven at 60 °C for 48 h.
Animal experiments in the case of the P56 mice were approved by the committee for the Care and Use of Laboratory Animals of the Government of Upper Bavaria, Germany and conducted according to current regulations for animal experimentation in Germany and the European Union (European Communities Council Directive 86/609/EEC). To gain a high incorporation rate of 15N at early developmental stages, male CD1 mice (Harlan Winkelmann, Borchen, Germany) were labeled with 15N in utero by providing isotopically labeled food to the pregnant dams and for 8 weeks post partum through feeding with a bacterial protein-based, 15N labeled diet (U-15 N-SILAM-Mouse, Silantes GmbH, Munich, Germany). Prior to that, for habituation, pregnant dams were first fed for 7 days with non-labeled bacterial protein-based diet (U-14 N-SILAM-Mouse, Silantes GmbH) that had the same composition as the 15N diet. On postnatal day 56, mice were sacrificed and tissues were collected after perfusion with 0.9% saline.
All P56 retinal samples were embedded as whole eyes in LR White (London Resin Company, Ltd.) prior to analysis. Before embedding, samples were dehydrated with increasing amounts of EtOH in ddH2O, 30% EtOH (1 × 10 min), 50% EtOH (1 × 10 min), and 70% EtOH (3 × 10 min). Dehydrated samples were then incubated in a 1:1 mixture of LR White and 70% EtOH for 1 h, followed by incubation in pure LR White for 1 h. Eye samples were then covered with plastic capsules (Beem Inc., West Chester, PA, USA) and embedded in LR White plus LR White accelerator (London Resin Company, Ltd.) for 30 min on a pre-cooled metal plate. Following this, samples were incubated at 60 °C for 90 min. Embedded samples were cut using an EM UC6 ultramicrotome (Leica Microsystems, Wetzlar, Germany), into 200 nm sections. Retinal cells were then identified from these samples and placed on silicon wafers (Siegert Wafer GmbH, Aachen) for NanoSIMS analysis.
SIMS analysis was performed using a NanoSIMS 50 L instrument (Cameca, France), and a Cs+ positive ion source. Secondary ions were generated using a primary current of ~ 30 nA (primary aperture D1 = 2). Prior to each measurement, an implantation of Cs+ ions was performed at high current (L1 = 20,000, D1 = 1) on an area larger than the raster size used for analysis until steady state conditions were achieved. For the timed-labelling experiments, images were taken at a raster size of 20x20μm. Retinas from one mouse per experimental treatment were analyzed using NanoSIMS. In the P56 mouse retinas, images were taken at a raster size of 50x50μm. Retina samples from two P56 mice were examined in this study. All images were taken at a resolution of 256 × 256 pixels, with 5000 cts/px, leading to an estimated resolution of ~ 78 nm/px in the timed-labelling samples, and ~ 200 nm/px in the P56 mice. Three images  were obtained with these settings at each location. The following masses were collected for each run: 12C14N (referred to as 14N in this report), 12C15N (referred to as 15N in this report), and 31P. 31P peak was used to mark the location of cellular structures. Each image shown in this manuscript is the result of a summation of all three image layers taken during analysis.
ONL and INL histology images (Fig. 1, Supplemental) were obtained using an Axio Imager M2 upright microscope (Zeiss, Germany), and a 100x ACHROPLAN water-immersion objective (Zeiss, Germany). Samples were immersed in ddH2O for analysis.
Image processing and data analysis
NanoSIMS images were processed using a custom Matlab script (the Mathworks Inc., Natick, MA, USA), adapted from the analysis script used in Gagnon et al., (2012) . Image layers were aligned relative to the second image taken for each element prior to summation. The 14N image was then used for thresholding and the identification of background noise. Areas with sufficiently low 14N counts to be considered background were removed from all images. The 15N/14N (timed-labelling experiments) and 14N/15N (P56 mice) ratio images were then obtained by dividing each data point in the numerator isotope with each data point in the denominator isotope. The resulting matrix was saved as a text file. Images were then generated using FIJI/ImageJ (NIH, Bethesda, MD, USA).
In both the time-labelled experiment and the P56 experiment, average isotope ratios for each cell and cellular region were generated by manually selecting ROIs with FIJI/ImageJ. ROIs were drawn around each cell and cellular region visible in the 14N images. All ROIs were then saved in FIJI/ImageJ and applied to the appropriate ratio image for each experiment. Mean isotope ratios for each individual cell and cell region were generated using the Measure tool of FIJI/ImageJ.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
- E (as in E7 … etc.):
Inner nuclear layer
Nanoscale secondary ion mass spectrometry
Outer nuclear layer
Outer plexiform layer
- P (as in P56 … etc.):
Stable isotope labelling in mammals
Secondary ion mass spectrometry
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We would like to thank Katharina Grewe and Paola Agüi Gonzalez for their assistance with NanoSIMS analysis, Sebastian Jähne for assisting with sample embedding, Katharina Richter for assisting with the dissection of the mouse eyes, and Kim Ann Saal for assisting with sample preparation of the timed-labelling experiments. Similarly, we would like to thank Thomas Dresbach for the use of his facility to take histology images. All individuals listed in this section are affiliated with the University Medical Center Göttingen, located in Göttingen, Germany.
All animal experiments were funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2067/1–390729940. Fixing and embedding of the time-labelled samples was also funded by the DFG via SFB1286/A05. The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript. Open Access funding enabled and organized by Projekt DEAL.
Ethics approval and consent to participate
Animal experiments discussed in this study were approved by the Lower Saxony State Office for Consumer Protection and Food Safety (Niedersächsisches Landesamt für Verbraucherschutz und Lebensmittelsicherheit), which is the local authority for the laboratory experiments performed. Animals were euthanized with CO2 and immediately processed for intracardial perfusion, with minor adaptations from Gage et al., (2012)  as described in the methods section. Animal experiments in the case of the P56 mice were approved by the committee for the Care and Use of Laboratory Animals of the Government of Upper Bavaria, Germany and conducted according to current regulations for animal experimentation in Germany and the European Union (European Communities Council Directive 86/609/EEC). Euthanasia of the P56 mice was performed under isoflurane anesthesia (5% dose, Forene®, Abbott, Wiesbaden, Germany).
Consent for publication
The authors declare that they have no competing interests.
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Bonnin, E.A., Fornasiero, E.F., Lange, F. et al. NanoSIMS observations of mouse retinal cells reveal strict metabolic controls on nitrogen turnover. BMC Mol and Cell Biol 22, 5 (2021). https://doi.org/10.1186/s12860-020-00339-1
- Secondary ion mass spectrometry
- Metabolic labelling
- Protein turnover