Open Access
28 June 2024 BioLuminescent OptoGenetics in the choroid plexus: integrated opto- and chemogenetic control in vivo
Eric Klein, Sophie Marsh, Jordan Becker, Mark Andermann, Maria Lehtinen, Christopher I. Moore
Author Affiliations +
Abstract

Significance

The choroid plexus (ChP) epithelial network displays diverse dynamics, including propagating calcium waves and individuated fluctuations in single cells. These rapid events underscore the possibility that ChP dynamics may reflect behaviorally relevant and clinically important changes in information processing and signaling. Optogenetic and chemogenetic tools provide spatiotemporally precise and sustained approaches for testing such dynamics in vivo. Here, we describe the feasibility of a novel combined opto- and chemogenetic tool, BioLuminescent-OptoGenetics (BL-OG), for the ChP in vivo. In the “LuMinOpsin” (LMO) BL-OG strategy, a luciferase is tethered to an adjacent optogenetic element. This molecule allows chemogenetic activation when the opsin is driven by light produced through luciferase binding a small molecule (luciferin) or by conventional optogenetic light sources and BL-OG report of activation through light production.

Aim

To test the viability of BL-OG/LMO for ChP control.

Approach

Using transgenic and Cre-directed targeting to the ChP, we expressed LMO3 (a Gaussia luciferase-VChR1 fusion), a highly effective construct in neural systems. In mice expressing LMO3 in ChP, we directly imaged BL light production following multiple routes of coelenterazine (CTZ: luciferin) administration using an implanted cannula system. We also used home-cage videography with Deep LabCut analysis to test for any impact of repeated CTZ administration on basic health and behavioral indices.

Results

Multiple routes of CTZ administration drove BL photon production, including intracerebroventricular, intravenous, and intraperitoneal injection. Intravenous administration resulted in fast “flash” kinetics that diminished in seconds to minutes, and intraperitoneal administration resulted in slow rising activity that sustained hours. Mice showed no consistent impact of 1 week of intraperitoneal CTZ administration on weight, drinking, motor behavior, or sleep/wake cycles.

Conclusions

BL-OG/LMO provides unique advantages for testing the role of ChP dynamics in biological processes.

The choroid plexus (ChP) is a vascular-epithelial network that extends throughout the ventricular system. The ChP is heterogeneous in its genetic composition, with substantial variation between ventricular sub-compartments and across the lifespan.1,2 We recently observed that the ChP exhibits rapid calcium dynamics in awake mice in vivo, including spreading waves and cell-specific fluctuations.3 These rapid and longitudinal dynamics, and their regional specialization, suggest that the ChP plays distinct roles in processing signals to impact downstream targets and potentially behavior. The known functions of the ChP include processing cerebrospinal fluid (CSF) and forming the blood-CSF barrier, transmitting (or blocking) signals moving between the body and brain. Performance of these functions, and others not yet delineated, may be dynamic, reflecting ChP-centered information-processing as observed in other body networks.

Studying neural network dynamics has benefitted from a recent surge in new techniques for controlling genetically selected cell types with spatio-temporal precision or sustained modulation. These methods include chemically activated modulation of biophysical state (chemogenetics) and light-driven stimulation of focally expressed opsins (optogenetics). The most common chemogenetic approach, DREADDs, modulates cell excitability for hours through G-protein coupled receptors.4,5 While effective in several applications, the relatively long timescale of a single DREADDs modulation, and potential off-target effects created by its activator, are both considerations in experimental design.68 Optogenetic approaches permit cell-specific and millisecond precision, allowing direct testing of phenomena such as neural synchronization in behavior9,10 but are less effective for sustained control and typically require invasive implants to provide optical access. Another key limitation of both approaches is that they are mediated by different constructs. In many experimental settings, a combined ability to probe the same preparation with both sustained activation of all cells expressing a given genotype, and focal control of distinctly target foci, would be highly advantageous.

Here, we describe the key enabling steps for use of BioLuminescent-OptoGenetics (BL-OG), a multi-functional control approach, in testing the potentially dynamic role of epithelial ChP. In the BL-OG strategy, a luciferase enzyme and opsin fusion molecules, and therefore in the same cell (Intraluminescence1113) or in different cells (interluminescence; e.g., across an “optical synapse”14). When a small molecule luciferin is presented, chemically generated photon production drives the opsin: a chemogenetic strategy. The same opsin is also available to conventional optogenetic drive by external light.

The use of bioluminescence, as compared to other forms of light administration to drive opsins, has multiple advantages.15 First, bioluminescence has evolved within multiple types of living organisms, with expression in the majority of marine species.16,17 As such, its “components” are typically highly bio-compatible and have already been used extensively in biomedical research.1820 An additional benefit to the BL-OG strategy is that light production indicates the timing and relative intensity of luciferin activation of its target,21 and photon emission therefore provides a direct report of the timing and relative intensity of chemogenetic engagement. To optimize proximity between photon production to its target, luciferases and opsins are often tethered by a short amino acid chain, a “LuMinOpsin” construct (LMO).12 While multiple LMO variants now exist to meet distinct experimental needs,11,2226 the most widely used instantiation to date is LMO3, a relatively bright Gaussia luciferase (sbGluc) tethered to Volvox ChannelRhodopsin (VChR1).27 The LMO3 construct has proven effective for chemogenetially driving cortical, spinal, midbrain, and peripheral neurons in developing and mature mice.2733 As such, they are potentially ideal for many key research directions in ChP study requiring long timescale modulation, including potential roles in development and long-term plasticity.

As a key first step in enabling the control and study of ChP dynamics with these tools, we expressed LMO3 in epithelial ChP using a transgenic approach. We found robust bioluminescent output in vivo with LMO3 activation in the ChP with introduction of the luciferin Coelenterazine (CTZ). This activation was observed following several different routes of administration, with rapid, bright output following intravenous (IV) and intracerebroventricular (ICV) application, and long-time constant activation with intraperitoneal (IP) delivery. We next tested whether chronic repeated CTZ presentation, key for longitudinal studies, caused any gross behavioral effects. In LMO3 in ChP or littermate controls, we did not detect any changes in weight, basic indices of motor activity or sleep-wake cycling across seven days of administration. Together, these initial studies indicate BL-OG can provide a robust, multi-functional strategy for studying subtle effects of ChP dynamics in vivo.

1.

Results

1.1.

Distinct Routes of BL-OG Activation Provide Distinct Activation Profiles for ChP Study

While LMO3 has been effectively activated in vivo in a variety of neural cell types and at different developmental time points, this construct has not been tested in ChP epithelium, and differences resulting from the local milieu (e.g., pH) or cell-type specific expression, could render its bioluminescent recruitment inactive. To test its functionality, and determine the time course and relative amplitude of LMO3 bioluminescent activation depending on the method of in vivo CTZ injection, we compared three different routes of delivery: intraperitoneal (IP), intravenous (IV), and intracerebroventricular (ICV) injection. Coelenterazine (CTZ) was administered to FoxJ1-Cre:LSL-LMO3-eYFP mice, which show strong expression in ChP epithelial cells.3,29,34 In all testing, mice were implanted with an imaging cannula3 that allows optical access to the left lateral ventricle and ChP. We recorded ChP bioluminescent output through the canula in anesthetized mice (isofluorane .5-1%) using an Andor iXon Ultra 888 EMCCD with a 5X, 0.14 NA objective (Mitutoyo). Because the imaging cannula precluded direct vertical placement of the ICV delivery cannula into the same lateral ventricle, we targeted the injection cannula to the contralateral lateral ventricle by an oblique trajectory through the dorsal posterior cortical surface [diagrammed in Fig. 1(a) and described in the Appendix (Sec. 3)].

Fig. 1

BL-OG in ChP enables multiple time courses of chemogenetic control. (a) Diagram of visualization area. (b) Example of BioLuminescent photon output with ICV luciferin delivery. (c) Example of distinct photon output in the same mouse with two different luciferin injections. (d) Individual time courses for IV (fast), IP (sustained), and ICV BioLuminescent activation. (e) Mean BioLuminescent activation in all conditions. (F) Comparison of IV and IP activation metrics in 3 mice.

NPh_11_2_024210_f001.png

The three modes of administration, ICV, IV, and IP, each provided a distinct pattern and timing of response onset. With ICV administration, bioluminescent photon output began 10 to 30 s following injection onset and progressed from center outward, in a pattern spatially consistent with a route of CTZ diffusion from the contralateral ventricle, through the third ventricle, to the ChP in the imaging field. Activated tissue continued to peak bioluminescence over tens of seconds and then faded slowly to the minimal observed effect [Fig. 1(b)]. To test the impact of rate and volume of CTZ injections on ChP bioluminescence, in one mouse we injected CTZ, 25  μl over 60 s, and 10  μl over 30 s, into the lateral ventricle. A fourfold difference in magnitude between peak bioluminescent response was observed between the two conditions [Fig. 1(c), light versus dark red curves]. A bioluminescent response of similar amplitude and time constant to that following the 10  μl to 30 s injection was produced in a second animal from a trial with a 5  μL to 20 s ICV injection [Fig. 1(d), bottom green trace].

Prior studies have shown that IV luciferin injections drive a faster rise time and higher peak photon production than IP injections.3537 We next tested whether these principles hold for BL-OG in the unique circulatory and chemical environment of the ventricle.38 We imaged anesthetized LMO3 in ChP mice following IV or IP CTZ injection (N=3 mice). Figure 1(d) (left) shows responses normalized as percent of maximal emission for trials from each animal in IP or IV injection conditions and a plot from an additional animal in an ICV trial for comparison (bottom). Initial bioluminescent output onsets 10  s following the start of IV injection [Fig. 1(d), gold]. In contrast, initial activity after IP injection was significantly slower in onset and rise time, and varied widely in ascent, on the scale of hundreds of seconds, as observed in prior studies (purple).37 Also, unlike ICV or IV injections, where response curves comprised a rapid initial climb to peak and then a smooth exponential decay, bioluminescent output curves resulting from IP injections demonstrated local sub-peaks and troughs in photon production in all mice [see Figs. 1(d) and 1(e), purple].

Figure 1(e) shows the difference in temporal progression of the response between IP, ICV, and IV trials, plotted as the average percent of maximal response across subjects for each condition. The blue and red dashed expansions show the relative time course onset for the three injection types, showing IV onset within seconds of injection, an intermediate rise time for ICV injection, and the slow onset and rise time with IP injection. While the IP response begins later, it persists much longer than the other administration routes, on the scale of tens of thousands of seconds: we did not observe a return to baseline within any IP imaging session. To quantify these temporal response differences, we calculated the time-to-peak for each animal across trial types. In all cases, responses to IV injection peaked <25  s after onset, whereas IP injection responses peaked from 2000 to >4000  s after onset [Fig. 1(f), left]. Considering the post-peak half-maximal response, all IV trials decayed to half-maximal <20  s after maximal effect, whereas IP trials decayed to half-maximal from 2000 to 6000 s.

To compare response magnitude, we normalized data across trial-types for imaging exposure (0.5 Hz IV, 0.33 Hz IP frame rate), and across individuals for small differences in mg/Kg of CTZ introduced by our standard injection in an individual. We found 100-fold higher peak emission on IV versus IP trials. To describe the differences in total light emission across trial types, we integrated normalized bioluminescence responses from injection to peak-effect timepoints. Although IP responses to CTZ injection peaked and persisted considerably longer than IV responses, integrated responses from IV injections showed one to two orders of magnitude greater total output [Fig. 1(F)].

1.2.

Repeated CTZ Administration Does Not Impact Basic Health Indices

As a further enabling step in the use of BL-OG for ChP research, we tested whether repeated CTZ administration or LMO3 expression in the ChP impacts basic indices of health or behavior. To obtain systematic video for analysis, we designed and laser cut de novo plexiglass cage tops for Thoren split cages, using novel three-dimensional (3D) printed clamps. Video cameras were held on adjacent tripods, one split cage/camera. Data were taken with Raspberry Pi 4B 2G MakerFocus Night Vision Cameras with Adjustable Focus (5MP HD Wide Angle Fisheye Lens OV5647 1080p; two cameras had a mechanically shuttered IR filter). Mice were kept on a reverse light:dark cycle. Head, body, and tail identification points were trained in DeepLabCut to analyze mouse location, movement, and orientation and then placed into real space through a custom-written Cartesian transformation.39 Figure 2 shows a sample image obtained in the dark cycle (ruler: 6 in./15 cm).

Fig. 2

Example frame from video obtained for multi-mouse automated assessment of the impact of 1 week of CTZ injections. Please see text for further details.

NPh_11_2_024210_f002.png

Mice (N=12) were monitored for seven days following daily intraperitoneal (IP) injection of CTZ (75  μl on d1-4, 100  μl on d5-6, and 110  μl on d7 at 2.36 mM in saline; prolume coelenterazine in vivo) or vehicle control. Double-transgenic mice were generated by crossing the FoxJ1-Cre and LSL-LMO3 (“LMO3 in ChP” mice: N=6; Jax Laboratories Strain #: 034853; see Ref. 21 for details). The remaining N=6 were C57/Bl6 mice without LMO3 expression (non-LMO3). For each group, half (N=3) were assigned to receive either CTZ or vehicle (LMO3 in ChP given CTZ, one female; control CTZ, 1F; LMO3 in ChP vehicle, 2F; control vehicle, 2F). Each mouse was weighed and checked for signs of discomfort or lethargy daily, video monitored in their home cages and housed under a 12/12 LD cycle to record estimates of wakefulness, movement, and drinking behaviors.

Across d1-7 both mice in the CTZ and vehicle group showed robust health. No mice showed signs of discomfort (e.g., porphyrin secretions), diminished grooming, or failed startle responses. Across days, mice in the CTZ and vehicle groups maintained stable body weights (Friedman rank sum tests; CTZ χ2=10.21, p>0.05; vehicle χ2=13.16, p<0.05, all Bonferroni corrected pairwise comparisons p>0.05; Fig. 3). No significant differences in total weight change, day 1 to day 7, were found between luciferin groups (CTZ versus vehicle) nor between genotype groups (ChP-LMO3 versus non-LMO3; Wilcoxon Mann-Whitney test, p>0.05; Fig. 3).

Fig. 3

Repeated CTZ administration and transgenic expression of LMO3 in ChP did not impact weight across days. Across several metrics, mice did not show any adverse effect of CTZ administration or expression of LMO3 in the ChP. Please see accompanying text for details.

NPh_11_2_024210_f003.png

Mice in all groups displayed normal phasic home cage behaviors, as assessed by observation and quantified by videography obtained on days 4 to 7. During the light (resting) phase of the circadian cycle, mice in all groups initiated more sleep bouts per monitored hour, and slept for more total time, than in the dark (waking) phase (light M=9.35, SD=0.85, dark M=5.60, SD=0.58, Wilcoxon rank sum test n=12, p<0.05). Mice also initiated more movement bouts in the dark cycle (light M=526.05, SD=53.85, dark M=754.30, SD=48.31, Wilcoxon rank sum test n=12, p<0.05), moved at greater average velocity per bout (light M=1.21, SD=0.06, dark M=1.54, SD=0.23  cm per second, Wilcoxon rank sum test n=12, p<0.05). All these behaviors were stable and did not drift significantly day-to-day.

No effects were observed between CTZ and vehicle in sleep or movement metrics in the lights on or in the lights off epochs (Wilcoxon rank sum test, p>0.05 for all comparisons). For LMO3 in ChP versus non-ChP mice, no difference was found in sleeping bouts in the lights off epoch (Wilcoxon rank sum test, p>0.05). We did observe a modest, if significant, difference in sleep bouts in the lights on condition, with LMO3 in ChP showing a greater number (p=0.026; LMO3 in ChP 9.85±0.83 versus non-ChP 8.86±0.53, mean ± standard deviation). However, this finding was not observed in the other metrics of sleep persistence, as there were no difference observed in sleep time or movement bouts between these groups in these epochs (Wilcoxon rank sum test, p>0.05 for all comparisons).

2.

Discussion

There is an increasing appreciation of the role of non-neural networks in creating adaptive behavior through their dynamics: In this regard, the ChP is, for example, implicated in memory formation40 and in setting behavioral state through the distribution of molecular signals.41 Dynamics governing the ongoing activity of the ChP is also implicated in a variety of diseases, including Alzheimer’s42 and hydrocephalus.43 In all these domains, hypothesis testing is served by the ability to control detailed ChP biophysical state in targeted ways, and with varying time courses and degrees of temporal precision.

Here, we show the viability of a novel approach, BL-OG, that provides both chemogenetic and optogenetic control options.12,21 Expression of this construct constitutively in ChP did not detectably alter weight or behavior. Further, administration of the enabling chemogenetic agent, the luciferin CTZ, also did not detectably perturb these metrics. Further, we found that a variety of routes of CTZ administration are viable for driving light generation in LMO3 in ChP mice, with distinct intensities and time constants best suited to distinct experimental conditions. In sum, this strategy is well-positioned for use to investigate the ChP.

In this study, we did not have sufficient power to reach any significant conclusions regarding the recruitment of LMO3 in the ChP on health or behavior. Beyond the statement that gross changes such as marked hyperactivity or mortality were not evident, it remains for future studies to apply the tools enabled here to test the impacts of subtle, temporary changes in epithelial ChP dynamics on health and/or behavior.

3.

Appendix: Methods

All animal care and experimental procedures were approved by the Marine Biological Laboratory and the Brown University Institutional Animal Care and Use Committees. Animals were singly housed on a 12-h light/dark cycle with standard mouse chow and water provided ad libitum. Experiments were performed on adult mice of both sexes (6f) and aged between 13 and 52 weeks. In the imaging studies, N=5 mice were employed. In the behavioral assays, N=12 mice were employed.

Mice were prepared for bioluminescence imaging in a manner similar to that used for imaging of calcium activity and immune cells in the ventricle in Ref. 3 (see also Ref. 44). Briefly, FoxJ1-Cre:LSL-LMO3-eYFP mice (n=5) were anesthetized with 2% Isoflurane in oxygen, delivered at 1.5  L/min, and body temperature was maintained at 37°C. The scalp was shaved, and an incision was made to remove skin covering the dorsal skull including the posterior frontal bone, parietal bone, and interparietal bone. A steel head-bar was fixed to the skull using Metabond dental adhesive. A 3-mm diameter craniotomy was performed, centered at 0.8  mm AP, 2.0  mm ML relative to Bregma. The underlying cortex was aspirated by suction using a 23 gauge blunt canula to a depth of 2.0  mm, allowing access to the top of the lateral ventricle. A 3.0-mm diameter cannula with a glass coverslip glued at the tip was inserted into the craniotomy and fixed in place with Metabond.

For experiments involving ICV delivery of CTZ, we inserted a second cannula into the lateral ventricle contralateral to the imaging cannula. Skulls were initially marked for drilling along the slanted track of cannula insertion using a custom 3D-printed template positioned over the posterior interparietal bone. A burr hole was then drilled at the correct entry point. The template was used to guide the tip of a 9.5 mm, 24 gauge cannula though the burr hole in the posterior to anterior direction with a 8.39 deg downward angle from horizontal to reach the lateral ventricle target location of 0.58  mm AP, 1.2 mm ML, and 2.0 mm DV relative to Bregma. The cannula was fixed to the posterior skull with Metabond® dental adhesive and capped. Animals were given a time-release NSAID (Meloxocam SR) for post-surgical analgesia and allowed to recover in their home cages for greater than 14 days before use in experiments.

3.1.

In Vivo Bioluminescent Imaging

Mice were initially anesthetized with 2% isoflurane in oxygen delivered at 1.5  l/min and then moved into a light-tight enclosure for imaging. Animals were secured in the imaging environment by clamping their head-bar to steel posts (Thor Labs) and isoflurane concentration was reduced to 0.5% to 1% to maintain anesthesia for the course of the experiment. An Andor iXon Ultra EM-CCD camera with a 5×, 0.14 NA objective (Mitutoyo) was focused on the ChP through the animal’s imaging cannula and window. Images were viewed and recorded with Andor Solis software. For all experiments, we performed injections of water-soluble CTZ (Prolume) diluted in deionized water (2.36 mM). Injections of CTZ were delivered by a Quintessential Stereotaxic Injector syringe pump (Stoeling). For ICV injections, CTZ was loaded into a syringe attached to catheter tubing terminating in a 26-gauge cannula (WPI). ICV caps were removed from the head-restrained, anesthetized mouse, and the 26-gauge cannula was gently threaded into the ICV cannula. For all IP and IV injections, CTZ-loaded syringes were attached to catheters terminating in a 29 gauge needle (Instech). The needle was used to cannulate either the lateral tail-vein (IV) or peritoneum (IP) and was then held in place with surgical tape.

3.2.

Imaging Bioluminescence During ICV Injection of CTZ

Imaging data were recorded from two mice with ICV implants for CTZ administration. Baseline images were acquired for a duration of 2 min. Images were recorded at a rate of 0.1 or 0.5 Hz in the first and second mouse, respectively. After baseline recording, controlled injection of CTZ was initiated. Post-injection, images were recorded for an additional 33 min. Following recording, anesthesia was discontinued, mice regained consciousness and were returned to their home cage. See text above for other relevant information.

3.3.

Imaging Bioluminescence During IV and IP Injection of CTZ

Imaging data were recorded from three mice, each of which underwent IP and IV injections of CTZ on separate days. Images were acquired at a rate of 0.5 Hz for IV trials and 0.33 Hz for IP trials, respectively. Baseline images were acquired for 2 min (IV trials) or 3 min (IV trials). Following baseline recording, controlled injection of CTZ was initiated. 75  μL of CTZ was injected over a 10 s duration in all IV trials. For IP trials, injections of 310, 350, or 400  μL were delivered over a 10 s duration. Following injection, images were recorded for an additional 4.03 h. Following recording, anesthesia was discontinued, mice regained consciousness, and were returned to their home cage.

3.4.

Analyses of Bioluminescence Imaging Data

Images were analyzed using Matlab (Mathworks). For all trials, regions of interest (ROIs) were created to assess overall bioluminescence emanating from the ChP by tracing a mean projection image [Fig. 1(b), left panel]. Pixel values recorded before exposure to CTZ (zero bioluminescence): Those in the ChP were selected as in the top 93% of intensity to form a mask baseline ROI. Difference images were created by subtracting the ROI image at each time point from this baseline ROI image. Pixels from each difference image were averaged to create a timeseries of changes in bioluminescence from baseline for each trial, in arbitrary units.

Disclosures

We have no disclosures to report.

Code and Data Availability

A video showing BioLuminescent Choroid Plexus activation can be found in the Brown Digital Repository ( https://doi.org/10.7301/Z0BK19VB). Behavioral data are available upon request.

Acknowledgments

We would like to acknowledge Dr. Ute Hochgeschwender for her development of the LMO3 construct and mouse, and myriad forms of assistance throughout the performance of these studies. We would further like to acknowledge Dr. Justine Allen for Programmatic Support at all levels throughout the conduct of this work. This research was supported by the National Institutes of Health (NIH RF1DA048790) (ML, MA, CIM) and the National Science Foundation (NSF NeuroNex 1707352) (EK, SM, CIM). We have no conflict of interest in the publication of this work.

References

1. 

M. P. Lun et al., “Spatially heterogeneous choroid plexus transcriptomes encode positional identity and contribute to regional CSF production,” J. Neurosci., 35 (12), 4903 –4916 https://doi.org/10.1523/JNEUROSCI.3081-14.2015 JNRSDS 0270-6474 (2015). Google Scholar

2. 

B. K. Y. Bitanihirwe, P. Lizano and T.-U. W. Woo, “Deconstructing the functional neuroanatomy of the choroid plexus: an ontogenetic perspective for studying neurodevelopmental and neuropsychiatric disorders,” Mol. Psychiatry, 27 (9), 3573 –3582 https://doi.org/10.1038/s41380-022-01623-6 (2022). Google Scholar

3. 

F. B. Shipley et al., “Tracking calcium dynamics and immune surveillance at the choroid plexus blood-cerebrospinal fluid interface,” Neuron, 108 623 –639.e10 https://doi.org/10.1016/j.neuron.2020.08.024 NERNET 0896-6273 (2020). Google Scholar

4. 

B. L. Roth, “DREADDs for neuroscientists,” Neuron, 89 (4), 683 –694 https://doi.org/10.1016/j.neuron.2016.01.040 NERNET 0896-6273 (2016). Google Scholar

5. 

K. S. Smith et al., “DREADDS: use and application in behavioral neuroscience,” Behav. Neurosci., 130 (2), 137 –155 https://doi.org/10.1037/bne0000135 BENEDJ 0735-7044 (2016). Google Scholar

6. 

D. F. Manvich et al., “The DREADD agonist clozapine N-oxide (CNO) is reverse-metabolized to clozapine and produces clozapine-like interoceptive stimulus effects in rats and mice,” Sci. Rep., 8 (1), 3840 https://doi.org/10.1038/s41598-018-22116-z SRCEC3 2045-2322 (2018). Google Scholar

7. 

S. V. Mahler and G. Aston-Jones, “CNO Evil? Considerations for the use of DREADDs in behavioral neuroscience,” Neuropsychopharmacology, 43 (5), 934 –936 https://doi.org/10.1038/npp.2017.299 NEROEW 0893-133X (2018). Google Scholar

8. 

V. K. Martinez et al., “Off-target effects of clozapine-N-oxide on the chemosensory reflex are masked by high stress levels,” Front. Physiol., 10 521 https://doi.org/10.3389/fphys.2019.00521 FROPBK 0301-536X (2019). Google Scholar

9. 

J. A. Cardin et al., “Targeted optogenetic stimulation and recording of neurons in vivo using cell-type-specific expression of Channelrhodopsin-2,” Nat. Protoc., 5 (2), 247 –254 https://doi.org/10.1038/nprot.2009.228 1754-2189 (2010). Google Scholar

10. 

J. H. Siegle, D. L. Pritchett and C. I. Moore, “Gamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli,” Nat. Neurosci., 17 (10), 1371 –1379 https://doi.org/10.1038/nn.3797 NANEFN 1097-6256 (2014). Google Scholar

11. 

A. Björefeldt et al., “A new highly efficient molecule for both optogenetic and chemogenetic control driven by FRET amplification of bioluminescence,” (2023). Google Scholar

12. 

K. Berglund et al., “Light-emitting channelrhodopsins for combined optogenetic and chemical-genetic control of neurons,” PLoS One, 8 (3), e59759 https://doi.org/10.1371/journal.pone.0059759 POLNCL 1932-6203 (2013). Google Scholar

13. 

C. I. Moore and K. Berglund, “BL-OG: BioLuminescent-OptoGenetics,” J. Neurosci. Res., 98 (3), 469 –470 https://doi.org/10.1002/jnr.24575 JNREDK 0360-4012 (2020). Google Scholar

14. 

M. Prakash et al., “Selective control of synaptically-connected circuit elements by all-optical synapses,” Commun. Biol., 5 (1), 33 https://doi.org/10.1038/s42003-021-02981-7 (2022). Google Scholar

15. 

M. Sureda-Vives and K. S. Sarkisyan, “Bioluminescence-driven optogenetics,” Life, 10 (12), 318 https://doi.org/10.3390/life10120318 (2020). Google Scholar

16. 

E. A. Widder, “Bioluminescence in the ocean: origins of biological, chemical, and ecological diversity,” Science, 328 (5979), 704 –708 https://doi.org/10.1126/science.1174269 SCIEAS 0036-8075 (2010). Google Scholar

17. 

S. H. D. Haddock, M. A. Moline and J. F. Case, “Bioluminescence in the sea,” Annu. Rev. Mar. Sci., 2 (1), 443 –493 https://doi.org/10.1146/annurev-marine-120308-081028 1941-1405 (2010). Google Scholar

18. 

M. Anctil, Luminous Creatures: The History and Science of Light Production in Living Organisms, McGill-Queen’s University Press( (2018). Google Scholar

19. 

O. Shimomura, Bioluminescence: Chemical Principles and Methods, World Scientific( (2006). Google Scholar

20. 

O. Shimomura, Bioluminescence: Chemical Principles and Methods, RevisedWorld Scientific( (2012). Google Scholar

21. 

M. Gomez-Ramirez et al., “The BioLuminescent-OptoGenetic in vivo response to coelenterazine is proportional, sensitive, and specific in neocortex,” J. Neurosci. Res., 98 (3), 471 –480 https://doi.org/10.1002/jnr.24498 JNREDK 0360-4012 (2020). Google Scholar

22. 

T. Jiang, J. Song and Y. Zhang, “Coelenterazine-type bioluminescence-induced optical probes for sensing and controlling biological processes,” IJMS, 24 (6), 5074 https://doi.org/10.3390/ijms24065074 (2023). Google Scholar

23. 

D. Narcisse et al., “Bioluminescent multi-characteristic opsin for simultaneous optical stimulation and continuous monitoring of cortical activities,” Front. Cell. Neurosci., 15 750663 https://doi.org/10.3389/fncel.2021.750663 (2021). Google Scholar

24. 

E. L. Crespo et al., “Bioluminescent optogenetic (BL-OG) activation of neurons during mouse postnatal brain development,” STAR Protoc., 2 (3), 100667 https://doi.org/10.1016/j.xpro.2021.100667 (2021). Google Scholar

25. 

S.-Y. Lee et al., “Engineered allostery in light-regulated LOV-Turbo enables precise spatiotemporal control of proximity labeling in living cells,” Nat. Methods, 20 (6), 908 –917 https://doi.org/10.1038/s41592-023-01880-5 1548-7091 (2023). Google Scholar

26. 

A. C. Love and J. A. Prescher, “Seeing (and using) the light: recent developments in bioluminescence technology,” Cell Chem. Biol., 27 (8), 904 –920 https://doi.org/10.1016/j.chembiol.2020.07.022 (2020). Google Scholar

27. 

K. Berglund et al., “Combined optogenetic and chemogenetic control of neurons,” Methods Mol. Biol., 1408 207 –225 https://doi.org/10.1007/978-1-4939-3512-3_14 (2016). Google Scholar

28. 

S. P. Yu et al., “Optochemogenetic stimulation of transplanted iPS-NPCs enhances neuronal repair and functional recovery after ischemic stroke,” J. Neurosci., 39 (33), 6571 –6594 https://doi.org/10.1523/JNEUROSCI.2010-18.2019 JNRSDS 0270-6474 (2019). Google Scholar

29. 

W. E. Medendorp et al., “Selective postnatal excitation of neocortical pyramidal neurons results in distinctive behavioral and circuit deficits in adulthood,” iScience, 24 (3), 102157 https://doi.org/10.1016/j.isci.2021.102157 (2021). Google Scholar

30. 

A. W. English et al., “Bioluminescent optogenetics: a novel experimental therapy to promote axon regeneration after peripheral nerve injury,” IJMS, 22 (13), 7217 https://doi.org/10.3390/ijms22137217 (2021). Google Scholar

31. 

E. C. Ikefuama et al., “Improved locomotor recovery in a rat model of spinal cord injury by BioLuminescent-OptoGenetic (BL-OG) stimulation with an enhanced luminopsin,” IJMS, 23 (21), 12994 https://doi.org/10.3390/ijms232112994 (2022). Google Scholar

32. 

E. D. Petersen et al., “Restoring function after severe spinal cord injury through BioLuminescent-OptoGenetics,” Front. Neurol., 12 792643 https://doi.org/10.3389/fneur.2021.792643 (2022). Google Scholar

33. 

J. Ding et al., “Camouflage nanoparticles enable in Situ bioluminescence-driven optogenetic therapy of retinoblastoma,” ACS Nano, 17 7750 –7764 https://doi.org/10.1021/acsnano.3c00470 ANCAC3 1936-0851 (2023). Google Scholar

34. 

Y. Zhang et al., “A transgenic FOXJ1-Cre system for gene inactivation in ciliated epithelial cells,” Am. J. Respir. Cell Mol. Biol., 36 (5), 515 –519 https://doi.org/10.1165/rcmb.2006-0475RC AJRBEL 1044-1549 (2007). Google Scholar

35. 

J. K. Tung et al., “Bioluminescence imaging in live cells and animals,” Neurophotonics, 3 (2), 1 https://doi.org/10.1117/1.NPh.3.2.025001 (2016). Google Scholar

36. 

W. Wang and W. S. El-Deiry, “Bioluminescent molecular imaging of endogenous and exogenous p53-mediated transcription in vitro and in vivo using an HCT116 human colon carcinoma xenograft model,” Cancer Biol. Ther., 2 (2), 196 –202 https://doi.org/10.4161/cbt.2.2.347 (2003). Google Scholar

37. 

M. Keyaerts et al., “Dynamic bioluminescence imaging for quantitative tumour burden assessment1 using IV or IP administration of d-luciferin: effect on intensity, time kinetics and repeatability of photonemission,” Eur. J. Nucl. Med. Mol. Imaging, 35 (5), 999 –1007 https://doi.org/10.1007/s00259-007-0664-2 (2008). Google Scholar

38. 

E. W. Olstad et al., “Ciliary beating compartmentalizes cerebrospinal fluid flow in the brain and regulates ventricular development,” Curr. Biol., 29 (2), 229 –241.e6 https://doi.org/10.1016/j.cub.2018.11.059 CUBLE2 0960-9822 (2019). Google Scholar

39. 

G. A. Kane et al., “Real-time, low-latency closed-loop feedback using markerless posture tracking,” eLife, 9 e61909 https://doi.org/10.7554/eLife.61909 (2020). Google Scholar

40. 

R. S. Mathew et al., “Comment on “Multiple repressive mechanisms in the hippocampus during memory formation”,” Science, 353 (6298), 453 –453 https://doi.org/10.1126/science.aaf1288 SCIEAS 0036-8075 (2016). Google Scholar

41. 

C. Wyart et al., “Cerebrospinal fluid-contacting neurons: multimodal cells with diverse roles in the CNS,” Nat. Rev. Neurosci., 24 (9), 540 –556 https://doi.org/10.1038/s41583-023-00723-8 NRNAAN 1471-003X (2023). Google Scholar

42. 

T. M. Achariyar et al., “Glymphatic distribution of CSF-derived apoE into brain is isoform specific and suppressed during sleep deprivation,” Mol. Neurodegener., 11 (1), 74 https://doi.org/10.1186/s13024-016-0138-8 (2016). Google Scholar

43. 

S. M. Robert et al., “The choroid plexus links innate immunity to CSF dysregulation in hydrocephalus,” Cell, 186 (4), 764 –785.e21 https://doi.org/10.1016/j.cell.2023.01.017 CELLB5 0092-8674 (2023). Google Scholar

44. 

A. A. Hamid, M. J. Frank and C. I. Moore, “Wave-like dopamine dynamics as a mechanism forspatiotemporal credit assignment,” Cell, 184 (10), 2733 –2749.e16 https://doi.org/10.1016/j.cell.2021.03.046 CELLB5 0092-8674 (2021). Google Scholar

Biographies of the authors are not available.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Eric Klein, Sophie Marsh, Jordan Becker, Mark Andermann, Maria Lehtinen, and Christopher I. Moore "BioLuminescent OptoGenetics in the choroid plexus: integrated opto- and chemogenetic control in vivo," Neurophotonics 11(2), 024210 (28 June 2024). https://doi.org/10.1117/1.NPh.11.2.024210
Received: 4 January 2024; Accepted: 30 May 2024; Published: 28 June 2024
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KEYWORDS
Optogenetics

In vivo imaging

Bioluminescence

Animals

Neurophotonics

Molecules

Modulation

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