William Agnew-Svoboda1,2, Teresa Ubina1,2, Zoe Figueroa1,3, Yiu-Cheung Wong2, Edward A Vizcarra3,4, Bryan Roebini2, Emma H Wilson1,3,4, Todd A Fiacco1,2,4, Martin M Riccomagno1,2,4. 1. Neuroscience Graduate Program, University of California, Riverside, Riverside, CA 92521, USA. 2. Department of Molecular, Cell, and Systems Biology, University of California, Riverside, Riverside, CA 92521, USA. 3. Division of Biomedical Sciences, University of California, Riverside, Riverside, CA 92521, USA. 4. Biomedical Sciences Graduate Program, University of California, Riverside, Riverside, CA 92521, USA.
Abstract
Astrocytes are vital support cells that ensure proper brain function. In brain disease, astrocytes reprogram into a reactive state that alters many of their cellular roles. A long-standing question in the field is whether downregulation of reactive astrocyte (RA) markers during resolution of inflammation is because these astrocytes revert back to a non-reactive state or die and are replaced. This has proven difficult to answer mainly because existing genetic tools cannot distinguish between healthy versus RAs. Here we describe the generation of an inducible genetic tool that can be used to specifically target and label a subset of RAs. Longitudinal analysis of an acute inflammation model using this tool revealed that the previously observed downregulation of RA markers after inflammation is likely due to changes in gene expression and not because of cell death. Our findings suggest that cellular changes associated with astrogliosis after acute inflammation are largely reversible.
Astrocytes are vital support cells that ensure proper brain function. In brain disease, astrocytes reprogram into a reactive state that alters many of their cellular roles. A long-standing question in the field is whether downregulation of reactive astrocyte (RA) markers during resolution of inflammation is because these astrocytes revert back to a non-reactive state or die and are replaced. This has proven difficult to answer mainly because existing genetic tools cannot distinguish between healthy versus RAs. Here we describe the generation of an inducible genetic tool that can be used to specifically target and label a subset of RAs. Longitudinal analysis of an acute inflammation model using this tool revealed that the previously observed downregulation of RA markers after inflammation is likely due to changes in gene expression and not because of cell death. Our findings suggest that cellular changes associated with astrogliosis after acute inflammation are largely reversible.
Astrocytes are the most abundant cell type in the CNS where they serve as critical regulators of homeostasis (Sofroniew and Vinters, 2010). In the healthy CNS, astrocytes provide synaptic support to neurons, facilitate transport of nutrients and waste, and maintain the blood-brain barrier (BBB) (Engelhardt and Sorokin, 2009; Jessen et al., 2015; Panatier and Robitaille, 2016). The BBB isolates the CNS from the circulating immune system of the periphery, so the brain has evolved its own innate immune system where local glia are immune responders (Escartin et al., 2021). This process is known as reactive gliosis, where microglia and astrocytes become reactive following inflammation. Reactive astrocytes (RAs) occur in any CNS inflammatory response, and have been observed after a variety of insults such as penetrating brain injuries, epilepsy, and Alzheimer disease (Binder and Steinhauser, 2006; Burda and Sofroniew, 2014; Katsouri et al., 2020; Laird et al., 2008). Reactivity in astrocytes has historically been identified by the hypertrophy of its major processes and upregulation of the intermediate filament glial fibrillary acidic protein (GFAP) (Anderson et al., 2014; Eng et al., 1971). In response to severe damage, astrocytes can migrate and polarize to form a glial scar, or even reenter the cell cycle and proliferate (Ferrer-Acosta et al., 2017; Wanner et al., 2013).Despite the prevalence of this response, many questions remain regarding the function of RAs. Some evidence suggests that reactivity in astrocytes is harmful to CNS repair and recovery, whereas more recent data suggest that preventing reactivity actually increases the damage caused by a brain injury (Katsouri et al., 2020; Liddelow et al., 2017; Okada et al., 2006; Shinozaki et al., 2017; Yun et al., 2018). Little is known about the differences in reactive responses across different disease models, with studies suggesting that there may be great variability in astrocyte gene expression in a disease-dependent manner (Park et al., 2021; Yun et al., 2018; Zamanian et al., 2012). Furthermore, within a given disease, astrocyte reactivity may vary both regionally and temporally, with some astrocytes remaining completely unreactive (Sofroniew, 2020; Wheeler et al., 2020; Zamanian et al., 2012).These outstanding questions can begin to be addressed through development of new tools to specifically target RAs and observe their behavior, physiology, and gene expression over time. Existing tools used to study RAs have the limitation of also being expressed in healthy astrocytes, and are not able to target RAs at specific time points in the inflammatory response or in the progression of disease (Cahoy et al., 2008; Robel et al., 2009; Sofroniew, 2009). The recent identification of genes that are upregulated only in RAs has provided a means to begin to address these limitations. Lipocalin-2 (Lcn2), an iron chelator expressed abundantly in the peripheral immune system but at negligible levels in the healthy brain, was identified as being upregulated strongly in RAs in mouse models of inflammation and stroke (Zamanian et al., 2012). Initially deemed a pan-RA marker, Lcn2 has more recently been shown to be upregulated to varying degrees in a large pool of astrocytes in several disease models, with some exceptions (Diaz-Castro et al., 2019; Habib et al., 2020; Hasel et al., 2021; Liddelow et al., 2017; Zamanian et al., 2012). Based on this knowledge, we developed a Lcn2CreERT2 mouse that expresses a tamoxifen-dependent Cre recombinase (Cre-ERT2) under the Lcn2 promoter.Using the Lcn2CreERT2 mouse, we were able to examine RAs across a variety of brain inflammation models and isolate labeled cells to be used for single cell studies. This transgenic tool can be used to permanently label RAs soon after a brain insult and follow them over time. This allows for longitudinal studies of RA morphology, physiology, and gene expression after the onset of a particular neuropathology. Using this approach, we demonstrate that astrocytes labeled in response to an acute inflammatory insult remain in the CNS after inflammation is resolved, while expression of traditional reactive markers returns to a baseline level. Overall, our experiments suggest that most RAs remain alive after the resolution of inflammation. Interestingly, while gene expression and morphology appear to largely revert back to baseline levels, some morphological features of reactivity might remain a month after inflammation. Our data highlight the potential of the Lcn2CreERT2 mouse to advance understanding of astrocyte reactivity and identify new underlying disease mechanisms.
Results
Validation of Lcn2 as a RA marker and design of the Lcn2CreERT2 mouse
Lcn2 expression has been previously shown to be upregulated hundreds of fold in mouse models of stroke and systemic inflammation (Liddelow et al., 2017; Zamanian et al., 2012). To confirm that Lcn2 is strongly upregulated in astrocytes following an inflammatory insult, Swiss Webster mice were injected with 5 mg/kg lipopolysaccharide (LPS) or equivalent saline intraperitoneally (IP) and collected after 24 h. Forebrains were analyzed for expression of Lcn2 along with the astrocyte marker SLC1a3 (GLAST/EAAT1) by means of fluorescence in situ hybridization (FISH) using RNAScope (Figure S1A). While Lcn2 expression in saline-treated brains was not detected, it was upregulated in LPS-treated mice over 266-fold, consistent with previous studies (Zamanian et al., 2012) (Figure S1A). The aforementioned study that identified Lcn2 upregulation in RAs also described some expression in endothelial cells (Zamanian et al., 2012). Therefore, cells were co-stained for the endothelial cell marker platelet and endothelial cell adhesion molecule 1 (PECAM1). Lcn2 also co-localized with PECAM1 by FISH (Figure S1A). As expected from previous studies, our results indicated negligible Lcn2 expression in control brain tissue with several fold increase 1 day after an acute inflammatory insult, with expression observed in astrocytes (SLC1a3+) and endothelial cells (PECAM1+).After validating strong upregulation of Lcn2 only in LPS-treated animals, we decided to target the Lcn2 locus by homologous recombination to develop an Lcn2CreERT2 mouse. To generate this mouse, a CreERT2 transgene followed by a P2A signal was targeted downstream of the endogenous Lcn2 promoter and start codon, but upstream of the rest of the first coding exon (Figure S1B). Under this design, it was expected that the transgene would drive expression of a tamoxifen-inducible Cre in cells where Lcn2 is expressed, without affecting endogenous Lcn2 expression.
Validation of the Lcn2CreERT2 mouse during systemic inflammation
To begin to characterize this newly developed mouse line, the Lcn2CreERT2 mouse was crossed into the Cre-reporter line Ai9 (Madisen et al., 2010). This cross generates mice that express the red fluorescent tdTomato reporter in a Cre-dependent manner. Using the progeny from this cross, we tested the expression of Lcn2CreERT2 following a 5-day low-dose LPS treatment protocol (Nava Catorce and Gevorkian, 2016). To ensure that expression was dependent on treatment with both LPS and tamoxifen, control animals were given saline and tamoxifen, saline and oil, or LPS and oil. Following the last day of treatment, brains were collected and immunohistochemistry was performed for the expression of tdTomato. This revealed that tdTomato was strongly upregulated in animals treated with both LPS and tamoxifen; however, its expression was negligible in all other treatment groups (Figures 1A and 1B). These results suggest that Lcn2CreERT2-dependent recombination occurs in an inflammation- and tamoxifen-dependent manner. The most robust expression of the Cre-dependent reporter was observed in the thalamus. Therefore, subsequent experiments focused on this region.
Figure 1
Expression of Lcn2CreERT2 following repeated low-dose LPS treatment
(A) Immunostaining for tdTomato in Lcn2CreERT2;Ai9 brains. Animals were given one of the following four treatments for 5 consecutive days: Saline and corn oil, saline and tamoxifen, LPS and corn oil, LPS and tamoxifen. Sections were counterstained with DAPI.
(B) Quantification of total number of red cells/section from animals in (A). ∗∗∗p < 0.001 ANOVA and Tukey’s post hoc test, n = 5 animals per treatment.
(C) Immunostaining of brains from saline- (left) or LPS-treated (right) Lcn2CreERT2;Ai9 animals for tdTomato and the astrocytic marker GFAP (top), the endothelial and microglial marker lectin (second row), the neuronal marker NeuN (third row), and the microglial marker Iba1 (bottom). Sections were counterstained with DAPI. White arrowheads indicate co-positive cells for tdTomato and the panel maker.
(D) Quantification of co-positive cells from (C).
(E) RNAscope for the astrocytic marker Slc1a3 (top) and the endothelial marker Pecam1 (bottom) on brains from LPS- and saline-treated Lcn2CreERT2;Ai9 animals. Sections were immunostained for tdTomato and counterstained with DAPI.
(F) Quantification of cells co-positive for tdTomato and RNA markers described in (E). Scale bars, (A) 250 μm, (C) 50 μm, (E) 25 μm. Error bars ± SEM.
See also Figures S1 and S2.
Expression of Lcn2CreERT2 following repeated low-dose LPS treatment(A) Immunostaining for tdTomato in Lcn2CreERT2;Ai9 brains. Animals were given one of the following four treatments for 5 consecutive days: Saline and corn oil, saline and tamoxifen, LPS and corn oil, LPS and tamoxifen. Sections were counterstained with DAPI.(B) Quantification of total number of red cells/section from animals in (A). ∗∗∗p < 0.001 ANOVA and Tukey’s post hoc test, n = 5 animals per treatment.(C) Immunostaining of brains from saline- (left) or LPS-treated (right) Lcn2CreERT2;Ai9 animals for tdTomato and the astrocytic marker GFAP (top), the endothelial and microglial marker lectin (second row), the neuronal marker NeuN (third row), and the microglial marker Iba1 (bottom). Sections were counterstained with DAPI. White arrowheads indicate co-positive cells for tdTomato and the panel maker.(D) Quantification of co-positive cells from (C).(E) RNAscope for the astrocytic marker Slc1a3 (top) and the endothelial marker Pecam1 (bottom) on brains from LPS- and saline-treated Lcn2CreERT2;Ai9 animals. Sections were immunostained for tdTomato and counterstained with DAPI.(F) Quantification of cells co-positive for tdTomato and RNA markers described in (E). Scale bars, (A) 250 μm, (C) 50 μm, (E) 25 μm. Error bars ± SEM.See also Figures S1 and S2.Next, we wanted to explore which cell types were expressing the Cre-dependent reporter. Lcn2CreERT2;Ai9 brains from animals that received LPS and tamoxifen were stained for the neuronal marker NeuN, the astrocyte marker GFAP, the microglia marker Iba1, and the endothelial/microglial marker tomato lectin (Figures 1C and 1D). No tdTomato-expressing cells were found to be NeuN positive, whereas 51% ± 2.2% of tdTomato+ cells were co-positive for lectin and 45% ± 1.8% of tdTomato+ cells were co-positive for GFAP. The morphology of the lectin-positive cells suggested that they were most likely endothelial cells, whereas the GFAP-positive cells appeared to be astrocytes; 20.31% ± 2.60% of the GFAP+ astrocytes in the thalamus were colabeled with tdTomato. Only a small subset of tdTomato+ cells was co-positive for Iba1 (1.1% ± 0.4%). Similar induction was observed after a single high dose of LPS, but the low-dose LPS protocol produced more consistent results (Figures S2A–S2E; n = 20 high-dose LPS animals). Thus, we adopted this low-dose protocol as the acute inflammatory treatment for the remainder of the study.To further confirm the identity of the great majority of tdTomato-positive cells, we performed RNAScope staining for astrocytic Slc1a3 and endothelial Pecam1 in the brains of the LPS- and tamoxifen-treated Lcn2CreERT2;Ai9 mice (Figures 1E and 1F). Using this technique, 47% ± 1.3% of identified tdTomato+ cells were shown to be co-positive for Slc1a3, whereas 51% ± 1.3% were co-positive for Pecam1, consistent with the immunostaining results. Taken together, these data suggest that Lcn2CreERT2 is expressed in the CNS only after an inflammatory insult and only when tamoxifen is present, and that its expression is found primarily in RAs and endothelial cells.
Expression of Lcn2CreERT2 in other brain injury models
We next examined whether the Lcn2CreERT2 mouse could serve as a tool for the study of RAs across a range of disease and brain injury models. While several models were briefly explored for proof-of-concept (Figures S3A–S3C), here we highlight two in particular: Parasitic infection by Toxoplasma gondii, and direct CNS exposure to LPS through striatal LPS injections (Figures 2 and 3). In order to test whether Lcn2CreERT2 mice will be useful for study of brain infection, Lcn2CreERT2;Ai9 mice were infected with 20 T. gondii cysts IP or given a sham injection of saline (Noor et al., 2010). T. gondii infection is a common human pathogen that exists in approximately one-third of the world’s population and can cause serious life-threatening disease in the immune-compromised (Dubey et al., 2021). The parasite resides as cysts within neurons, requiring a continuous immune response in the brain to prevent reactivation and disease (Wohlfert et al., 2017). It therefore provides a model of chronic inflammation that is human disease-relevant. Three weeks following infection with T. gondii, animals were given tamoxifen three times a week for 4 weeks and collected after the last treatment. Expression of tdTomato was restricted to infected animals, while remaining below detection levels in sham controls (Figure 2A). The identity of the cells that turned on the reporter was investigated by co-labeling with neuronal, astrocytic, microglial, and endothelial markers. Of the tdTomato+ cells, zero were found to be NeuN positive, 64% ± 3.4% were colabeled with GFAP, 37% ± 1% were colabeled for tomato lectin, and 2.3% ± 0.4% were positive for Iba-1 (Figures 2B and 2C). Of the total number of GFAP+ astrocytes in the thalamus, 18.36% ± 0.55% were also positive for tdTomato. These data suggest robust upregulation of Lcn2CreERT2 following long-term T. gondii infection that was confined to astrocytes (predominantly) and endothelial cells as expected. Importantly, our data also revealed that Lcn2CreERT2 is not induced by long-term treatment with tamoxifen alone.
Figure 2
Expression of Lcn2CreERT2 in a parasitic model of neuroinflammation
(A) Immunostaining for tdTomato on Lcn2CreERT2;Ai9 thalami 7 weeks after infection with T. gondii.
(B and C) Tissue from animals described in (A) was immunostained for tdTomato and the astrocytic marker GFAP (left), the endothelial and microglial marker lectin (second column), the neuronal marker NeuN, and the microglial marker Iba1(right). Co-positive cells indicated by white arrowheads, quantified in (C). n = 3 animals. Scale bars, (A) 250 μm, (B) 50 μm. Error bars ± SEM.
See also Figure S3.
Figure 3
Lcn2CreERT2;Ai9 tdTomato labeling after intrastriatal LPS injections
(A) tdTomato immunostaining of Lcn2CreERT2;Ai9 animals injected intrastriatally with LPS or sterile saline and gavaged with tamoxifen for 3 days. Sections were counterstained with DAPI. tdTomato+ cells lining the saline injection site are marked by white arrowheads.
(B) Quantification of total number of labeled cells in the striatum and thalamic regions.
(C) Representative images of brains collected after saline or LPS injections into the striatum (n = 4 animals). Coronal sections through the thalamus and ventral tegmental area were immunolabeled with anti-TdTomato antibody (red) and co-stained with DAPI (blue) and anti-GFAP (top, green), Lectin (middle, green) or tyrosine hydroxylase (bottom, TH, green). TdTomato signal partially co-localized with GFAP and lectin, but not with TH-positive catecholaminergic neurons.
(D) Quantification of cells co-positive for tdTomato and GFAP or lectin. Scale bars, (A) 250 μm, (C) 500 μm. Error bars ± SEM.
See also Figure S3.
Expression of Lcn2CreERT2 in a parasitic model of neuroinflammation(A) Immunostaining for tdTomato on Lcn2CreERT2;Ai9 thalami 7 weeks after infection with T. gondii.(B and C) Tissue from animals described in (A) was immunostained for tdTomato and the astrocytic marker GFAP (left), the endothelial and microglial marker lectin (second column), the neuronal marker NeuN, and the microglial marker Iba1(right). Co-positive cells indicated by white arrowheads, quantified in (C). n = 3 animals. Scale bars, (A) 250 μm, (B) 50 μm. Error bars ± SEM.See also Figure S3.Lcn2CreERT2;Ai9 tdTomato labeling after intrastriatal LPS injections(A) tdTomato immunostaining of Lcn2CreERT2;Ai9 animals injected intrastriatally with LPS or sterile saline and gavaged with tamoxifen for 3 days. Sections were counterstained with DAPI. tdTomato+ cells lining the saline injection site are marked by white arrowheads.(B) Quantification of total number of labeled cells in the striatum and thalamic regions.(C) Representative images of brains collected after saline or LPS injections into the striatum (n = 4 animals). Coronal sections through the thalamus and ventral tegmental area were immunolabeled with anti-TdTomato antibody (red) and co-stained with DAPI (blue) and anti-GFAP (top, green), Lectin (middle, green) or tyrosine hydroxylase (bottom, TH, green). TdTomato signal partially co-localized with GFAP and lectin, but not with TH-positive catecholaminergic neurons.(D) Quantification of cells co-positive for tdTomato and GFAP or lectin. Scale bars, (A) 250 μm, (C) 500 μm. Error bars ± SEM.See also Figure S3.We also looked at directly exposing the CNS to LPS via striatal injection, a model adapted from Hunter et al., who showed that striatal LPS injections could induce dramatic inflammation, followed by dopaminergic neuronal loss in the substantia nigra (Hunter et al., 2009). We reasoned that this could also serve as a relevant model of encephalitis. Expression of tdTomato could be found broadly and abundantly in the brain of LPS injected animals, whereas expression was much lower and restricted to the injection site in the saline-injected animals (Figures 3A and 3B). As observed in the other inflammation models, tdTomato was almost exclusively expressed by astrocytes and endothelial cells (Figures 3C and 3D). Taken together, our results suggest that many conditions that induce an inflammatory immune response in the brain will result in Lcn2 expression, highlighting the utility of the Lcn2CreERT2 mouse for the study of reactivity across multiple disease and brain injury models.
Flow sorting of labeled cells using the Lcn2CreERT2 mouse
The ability of the Lcn2CreERT2 mouse to label reactive cells with a fluorescent marker opens the door to fluorescent-activated cell sorting (FACS) through flow cytometry, which enables the isolation and characterization of permanently labeled cells. As proof-of-concept, Lcn2CreERT2;Ai9 animals underwent low-dose LPS treatment for 5 consecutive days, as described above. Twenty-four hours after the final LPS treatment, animals were killed and their brains prepared as a single cell suspension using needle passage and enzymatic digestion as described in the methods. Isolated cells were incubated with DAPI in order to identify dead cells, and sorted based on DAPI-negative, tdTomato-positive gates. As a percentage of live cells, tdTomato-expressing cells represented ∼1.5% to 3% of the total cell population (Figure S4A). These results demonstrate the utility of the Lcn2CreERT2 mouse for profiling and sequencing studies of a subset of RAs through their isolation by fluorescence cell sorting.
Combinatorial approaches using the Lcn2CreERT2 mouse to isolate specific reactive cell types
While Lcn2CreERT2 expression appears only after an immune challenge, immunohistochemistry (IHC) and RNAScope revealed other “reactive” cell types in addition to astrocytes, namely endothelial cells and a very small percentage of microglial cells that were also Cre positive. In order to specifically drive expression in RAs, we designed an adeno-associated virus (AAV) to express a gene of interest (GOI) under the Gfap 2.2 promoter in a Cre-dependent manner (Figures S4B and S4C) (Atasoy et al., 2008; Lee et al., 2008; Schnütgen et al., 2003). A similar approach using the Gfap promoter has been successfully implemented to study healthy astrocytes (Ung et al., 2020). There are several benefits to this combinatorial approach. First, use of a long Gfap promoter to drive GOIs in a Lcn2Cre-dependent manner ensures expression only in cells that are astrocytes (GFAP+) and are reactive (Lcn2CreERT2). Second, targeting of specific brain regions can be achieved by injecting the newly designed AAVs stereotactically (Cetin et al., 2006). Broader expression of the GOI can be obtained by performing intraventricular injections in neonatal pups (Passini et al., 2003; Stoica et al., 2013).To validate this approach, Lcn2CreERT2 animals were injected into the right thalamus with AAV-GFAP(long)-FLEX-GCaMP7f, which drives expression of the calcium indicator GCaMP7f (Helassa et al., 2016) only in cells expressing GFAP and Cre together. Three weeks following injection of the virus, animals were treated with tamoxifen and LPS or saline as described in the methods section. Although there was some local signal in both saline- and LPS-treated animals around the viral injection site, expression in LPS-treated animals was much stronger and broader, confirming that acute inflammation induced expression of the reporter in RAs (Figures S4D and S4E). This result suggests that the combinatorial approach will be a powerful and adaptable method for using the Lcn2CreERT2 mice to study reactive astrogliosis and in principle, other cell types activated in response to injury.
Lcn2Cre-expressing astrocytes remain in the CNS following resolution of inflammation
The fate of RAs after inflammation is resolved has been a fundamental question in the field (Escartin et al., 2021; Zamanian et al., 2012). Markers of RAs are rapidly induced after LPS treatment, but return to basal levels within 1 month (Escartin et al., 2021; Zamanian et al., 2012). Whether this overall decrease in expression of RA markers is a result of programmed cell death and generation of new cells, or downregulation of expression of these genes within RAs cannot be determined without an approach that permanently labels astrocytes at the onset of gliosis. In order to address this, low-dose LPS treatment was performed on Lcn2CreERT2;Ai9 animals. Lcn2Cre-expressing cells were activated during the initial stages of inflammation by tamoxifen gavage, and brains collected at two separate time points for analysis by IHC: 24 h and 1 month after the final LPS treatment when reactive marker expression in the forebrain has returned to basal levels (Zamanian et al., 2012). While tdTomato signal remained negligible in saline-treated animals, it was robustly expressed in animals collected at both 24 h and 1 month (Figures 4A and 4B). The percentage of tdTomato+ cells at 1 month was not significantly different compared with the proportion observed at 24 h (Figure 4B, t(4)=0.32, p = 0.38). Moreover, analysis of RNAScope data revealed no significant difference in the number of tdTomato+ cells that expressed the astrocytic marker ALDH1L1 at the two time points (Figures 4C and 4D; t = −1.000726, p = 0.160803). These results suggest that astrocytes that had become reactive and expressed Lcn2CreERT2 at the onset of inflammation remain in the CNS long after inflammation has resolved.
Figure 4
Astrocytes that were initially reactive remain in the brain after resolution of inflammation
(A) Lcn2CreERT2;Ai9 brain sections immunostained for tdTomato and counterstained with DAPI. Animals were given tamoxifen and saline or LPS and collected at either 24 h or 1 month after the last treatment.
(B) Quantification of tdTomato-positive cells in the thalamic region. p = 0.38, ANOVA followed by Tukey’s HSD post hoc, n = 5 animals.
(C) RNAScope on Lcn2CreERT2;Ai9 brain sections for the astrocyte marker Aldh1l1 24 h and 1 month after low-dose LPS treatment, followed by immunostaining for tdTomato and counterstaining with DAPI.
(D) Quantification of Aldh1l1 and tdTomato co-positive cells in (C). p = 0.16, paired t test. n = 18 pooled sections across three animals.
(E) Co-labeling of tdTomato and EdU-positive astrocytes in Lcn2CreERT2;Ai9 animals after LPS treatment.
(F) High magnification image of labeled astrocytes and EdU-positive cells at 1 month.
(G) Quantification of tdTomato and EdU co-positive astrocytes at 24 h, 7 days, and 1 month following LPS treatment. Error bars ± SEM. Scale bars, (A) 400 μm, (C, E) 200 μm, (F) 20 μm.
See also Figure S4.
Astrocytes that were initially reactive remain in the brain after resolution of inflammation(A) Lcn2CreERT2;Ai9 brain sections immunostained for tdTomato and counterstained with DAPI. Animals were given tamoxifen and saline or LPS and collected at either 24 h or 1 month after the last treatment.(B) Quantification of tdTomato-positive cells in the thalamic region. p = 0.38, ANOVA followed by Tukey’s HSD post hoc, n = 5 animals.(C) RNAScope on Lcn2CreERT2;Ai9 brain sections for the astrocyte marker Aldh1l1 24 h and 1 month after low-dose LPS treatment, followed by immunostaining for tdTomato and counterstaining with DAPI.(D) Quantification of Aldh1l1 and tdTomato co-positive cells in (C). p = 0.16, paired t test. n = 18 pooled sections across three animals.(E) Co-labeling of tdTomato and EdU-positive astrocytes in Lcn2CreERT2;Ai9 animals after LPS treatment.(F) High magnification image of labeled astrocytes and EdU-positive cells at 1 month.(G) Quantification of tdTomato and EdU co-positive astrocytes at 24 h, 7 days, and 1 month following LPS treatment. Error bars ± SEM. Scale bars, (A) 400 μm, (C, E) 200 μm, (F) 20 μm.See also Figure S4.To confirm that the numbers of tdTomato+ astrocytes were not maintained via clonal expansion of just a few Lcn2+ RAs that remained alive soon after the inflammatory insult subsided, we labeled proliferating cells at the peak of inflammation with Ethynyl deoxyUridine (EdU; Figures 4E–4G). EdU is a thymidine analog that is incorporated in cells undergoing the S-phase of the cell cycle (Salic and Mitchison, 2008) and can be used to observe the fate of cells born at a specific timepoint. EdU was injected on the last 2 days of the low-dose LPS treatment and also 22 h after. Brains were collected 24 h, 7 days, and 1 month after the low-dose treatment. Only a small percentage of tdTomato astrocytes appeared to be proliferative when collected at 24 h post -LPS. This tdTomato+/EdU+ population did not expand significantly, as the percentage remained almost constant at 7 days and 1 month after LPS (Figures 4E–4G; NS; one-way ANOVA). These data suggest that acute inflammatory insult does not result in noteworthy proliferation of RAs, and provides further support to the idea that the large majority of Lcn2 RAs remain alive 1 month after inflammation.
Morphological and molecular changes in RAs following inflammation
Next, we wanted to investigate whether the tdTomato-expressing cells maintained their expression of reactive markers, or if these returned to basal levels. We performed RNAScope on low-dose LPS- and saline-treated control animals collected at 24 h and 1 month after the final treatment, looking at overall expression of GFAP and Lcn2 mRNA (Figures S5A and S5B). In support of the findings made by Zamanian et al. (2012), Lcn2 was upregulated in animals collected 24 h after LPS treatment when compared with saline-treated animals and animals collected 1 month post LPS (Figures S5A and S5B; p = 0.00000 and p = 0.00000, respectively); 32.79% ± 4.68% of Lcn2 cells in the thalamus expressed tdTomato 24 h after LPS. Furthermore, there was no significant difference in Lcn2 expression between animals treated with saline, and animals treated with LPS collected 1 month after treatment (Figure S5B; p = 0.99989). Similarly, GFAP was significantly upregulated in LPS-treated animals collected at 24 h relative to other groups (p = 0.00145, p = 0.00293), with no difference between saline control animals and animals collected 1 month after LPS (Figure S5B; p = 0.96454). These results confirm that the upregulated reactive markers Lcn2 and GFAP return to much lower levels of expression once acute inflammation has resolved.Together, the sustained levels of tdTomato signal with the longitudinal changes in reactive markers between early versus late time points suggest that RAs can revert to the non-reactive state after acute inflammation subsides. To confirm this, we identified astrocytes in LPS-treated animals collected at both 24 h and 1 month that were expressing tdTomato, indicating that they had at one point upregulated Lcn2. Expression of Lcn2 and GFAP in these cells was examined by RNAScope in animals collected at both time points (Figures 5A and 5B). Lcn2 fluorescence was much higher in cells from animals collected at the 24-h time point compared with 1 month (Figure 5A; t(29) = 2.90272, p = 0.002612). Similarly, GFAP was also upregulated in tdTomato-positive cells collected at 24 h relative to those at 1 month (Figure 5B, t(29) = 4.91487, p < 0.00001). These results suggest that these two reactive markers are only transiently upregulated in astrocytes following inflammation.
Figure 5
Reactive marker expression decreases 1 month after inflammation
(A and B) Analysis of reactive marker expression within tdTomato-positive cells. RNAScope for brain sections 24 h after LPS, or 1 month after LPS treatment to detect expression of the reactive markers Lcn2 (A) and GFAP (B), followed by immunostaining for tdTomato and counterstaining with DAPI. RNAScope for reactive markers Lcn2 (A) and GFAP (B) was quantified by looking at both number of fluorescent puncta (A, B, top panels) and integrated fluorescent density (A, B, bottom panels). ∗∗∗p < 0.001, paired t test. n = 29 astrocytes pooled from three animals. Error bars ± SEM. Scale bars, 50 μm.
See also Figure S5.
Reactive marker expression decreases 1 month after inflammation(A and B) Analysis of reactive marker expression within tdTomato-positive cells. RNAScope for brain sections 24 h after LPS, or 1 month after LPS treatment to detect expression of the reactive markers Lcn2 (A) and GFAP (B), followed by immunostaining for tdTomato and counterstaining with DAPI. RNAScope for reactive markers Lcn2 (A) and GFAP (B) was quantified by looking at both number of fluorescent puncta (A, B, top panels) and integrated fluorescent density (A, B, bottom panels). ∗∗∗p < 0.001, paired t test. n = 29 astrocytes pooled from three animals. Error bars ± SEM. Scale bars, 50 μm.See also Figure S5.Based on this initial result, we probed deeper into the changes that astrocytes undergo after the resolution of inflammation by assessing independent measures of reactivity, i.e., alterations in volume and branching pattern (Escartin et al., 2021; Wilhelmsson et al., 2006). The use of a cytoplasmic tdTomato reporter has the advantage of allowing the visualization of the whole astrocyte and not just GFAP or other cytoskeletal features, thus providing a strong readout for morphological changes in thin astrocytic processes (Escartin et al., 2021). We compared the volume and branching pattern of tdTomato+ astrocytes in Aldh1l1CreERT2;Ai9 animals treated with saline and tamoxifen, versus astrocytes in Lcn2CreERT2;Ai9 mice 24 h and 1 month after low-dose LPS treatment (Figures 6A and 6B). Consistent with previous studies (Wilhelmsson et al., 2006), cell volume did not significantly change after insult (Figures 6A and 6B; NS, one-way ANOVA). The number of total branches and the number of distal processes were significantly higher 24 h after LPS treatment versus saline treatment (Figure 6B; p = 0.0002 and p = 0.0068, respectively, one-way ANOVA followed by Tukey post hoc test). Interestingly, while the overall number of branches returned to baseline 1 month after LPS treatment, the number of distal processes did not (Figures 6A and 6B; saline versus 1 month, NS and p < 0.0001, respectively). This demonstrated that while some traditional markers of reactivity revert back to the non-reactive baseline, there are some longer-lasting effects of acute inflammation on astrocyte morphology.
Figure 6
Morphological changes in astrocytes pre and post inflammation
(A) Representative morphology of tdTomato-positive astrocytes in Lcn2CreERT2;Ai9 animals treated with saline or LPS, collected at 24 h and 1 month after treatment (top).
(B) Quantification of volume (bottom left), number of primary branches (bottom, middle), and number of processes 15 μm from the soma (bottom, right). ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001, ANOVA followed by Tukey’s honest significant difference post hoc test. n = 30 pooled astrocytes across three animals. Error bars ± SEM. Scale bar, 20 μm.
Morphological changes in astrocytes pre and post inflammation(A) Representative morphology of tdTomato-positive astrocytes in Lcn2CreERT2;Ai9 animals treated with saline or LPS, collected at 24 h and 1 month after treatment (top).(B) Quantification of volume (bottom left), number of primary branches (bottom, middle), and number of processes 15 μm from the soma (bottom, right). ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001, ANOVA followed by Tukey’s honest significant difference post hoc test. n = 30 pooled astrocytes across three animals. Error bars ± SEM. Scale bar, 20 μm.To gain a better understanding of the resolution process in astrocytes, we visualized the expression of three physiologically relevant astrocyte-expressed genes at different timepoints after inflammation using RNAScope (Figures 7A–7C). Two glutamate transporters (Slc1a3 and Slc1a2) and the pore-forming subunit of the Volume-Regulated Anion Channel (VRAC, Lrrc8a) that are known to be misregulated in a variety of brain disease models were chosen for this assessment (Diaz-Castro et al., 2019; Hasel et al., 2021; Peterson and Binder, 2019; Yang et al., 2019). Saline-injected, tamoxifen-induced Aldh1l1CreERT2; Ai9 animals were used to measure baseline expression. Slc1a2 (GLT-1/EAAT2) expression in tdTomato+ astrocytes did not significantly change after LPS treatment compared with saline-injected mice (Figure 7A; NS, one-way ANOVA). On the other hand, Slc1a3 expression increased significantly 24 h after LPS treatment, but reverted back to baseline within 7 days (Figure 7B; p = 0.022 saline versus 24 h, p = 0.99 saline versus 7D, p = 0.61 saline versus 1 month). Lrrc8a showed a similar temporal pattern of expression as Slc1a3, increasing significantly in tdTomato+ astrocytes 24 h after LPS treatment, but decreasing to the same level as saline-injected animals 7 days after LPS (Figure 7C; p = 0.0004 saline versus 24 h, p = 0.3 saline versus 7D, p = 0.75 saline versus 1 month). Taken together, our findings suggest that astrocytes that upregulate reactive markers following inflammation survive in the brain while no longer strongly expressing some of these markers after inflammation has resolved.
Figure 7
Reactive markers return to baseline levels in astrocytes that were initially reactive
(A–C) RNAScope staining (green) for Slc1a2 (A), Slc1a3 (B), and Lrrc8a (C) in Lcn2CreERT2;Ai9 animals treated with saline or LPS. Sections were immunostained for tdTomato and counterstained with DAPI. Bottom: quantification of RNAScope puncta per tdTomato+ astrocyte. ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001, ANOVA followed by Tukey’s honest significant difference post hoc test. n = 30 pooled astrocytes across three animals. Error bars ± SEM. Scale bars, 20 μm.
Reactive markers return to baseline levels in astrocytes that were initially reactive(A–C) RNAScope staining (green) for Slc1a2 (A), Slc1a3 (B), and Lrrc8a (C) in Lcn2CreERT2;Ai9 animals treated with saline or LPS. Sections were immunostained for tdTomato and counterstained with DAPI. Bottom: quantification of RNAScope puncta per tdTomato+ astrocyte. ∗∗p < 0.01, ∗∗∗p < 0.001, ∗∗∗∗p < 0.0001, ANOVA followed by Tukey’s honest significant difference post hoc test. n = 30 pooled astrocytes across three animals. Error bars ± SEM. Scale bars, 20 μm.
Discussion
Reactive gliosis is an early response to brain inflammation, which occurs universally in brain pathologies including infection, trauma, and neurodegenerative disease (Sofroniew, 2020). While astrocyte reactivity has been observed in many contexts, very little remains known about how RAs participate in positive or negative outcomes (Escartin et al., 2021). An astrocyte reacting to a beta amyloid plaque in Alzheimer disease may upregulate GFAP in the same way it does in response to a penetrating brain injury, but questions remain about how similar these responses really are. Such questions can only be answered by examining reactivity in a context-dependent manner in great detail. In order to do so, new tools are needed that allow RAs to be targeted specifically. Here we introduce the Lcn2CreERT2 mouse as a first step to selectively target and manipulate RAs in the diseased or injured brain when used in combination with traditional astrocytic tools.
Advantages and utility of the Lcn2CreERT2 mouse
Lcn2CreERT2 shows no significant basal expression in the CNS, and is strongly upregulated in a number of different disease, infection, and injury models. This is a key aspect of Lcn2CreERT2, as existing tools to study RAs have relied on markers such as GFAP or Aldh1l1, which are already expressed in the healthy CNS (Brambilla et al., 2005; Cahoy et al., 2008; Robel et al., 2009; Sofroniew, 2009; Srinivasan et al., 2016). After most insults there is a mix of reactive and healthy astrocytes (Escartin et al., 2021), so even using tools driven by these promoters for which timing can be controlled (e.g., CreERT2 lines), both healthy astrocytes and RAs alike will be targeted. Thus, any tool that targets astrocytes before they become reactive has the potential downside of impacting healthy brain function or diluting effects that specifically occur only in RAs. The Lcn2CreERT2 line takes advantage of the minimal expression of Lcn2 in the healthy nervous system to ensure that Cre is only expressed after injury and only in reactive cells. This ensures that Cre expression in astrocytes will only be turned on in a reactive setting.When developing the Lcn2CreERT2 mouse, a decision was made to use CreERT2, a tamoxifen-dependent Cre recombinase (Figure S1B). A number of floxed transgenic lines and constructs have already been developed that make use of Cre-mediated recombination to activate gene expression, making the Lcn2CreERT2 mouse highly customizable for study of the immune response and brain disease mechanisms (Birling et al., 2012; Daigle et al., 2018; Van Duyne, 2015). Having the Lcn2CreERT2 mouse express a Cre-ERT2 allows for temporal control of Cre activation. This approach opens up a number of experimental possibilities. First, Cre activity outside of the preferred experimental window can be prevented. This is an important consideration toward preventing off-target recombination in other Lcn2 expressing cells, such as the peripheral immune system. Second, different windows of astrocyte reactivity can be examined during the course of a disease or injury process. For example, in the kainic acid model of epilepsy, after the induction of status epilepticus (SE) there is a 1- to 2-week latent period prior to the development of progressive seizures (Coulter and Steinhauser, 2015). By changing the timing of tamoxifen treatment, examination of RAs induced immediately after SE can be compared with those that develop during and after the latent period and leading to chronic stages of the disease. It is very likely that the properties and functions of RAs are very different across time points in disease progression or recovery from injury. By FACS sorting and sequencing RAs at different time points, heterogeneity of RAs within a disease process can begin to be appreciated.As astrocyte reactivity has been observed almost universally in response to CNS injury and disease, one consideration in designing a tool is its ability to be used to study any brain pathology of interest. In the work that initially identified Lcn2 in RAs (Zamanian et al., 2012), it was suggested to be a pan-RA marker, as its expression was observed in two very different injury models. These models, LPS and stroke, have since been reported to induce at least two broad categories of RAs (Liddelow et al., 2017) that likely represent only two ends of a spectrum, with many subtypes in-between and even within a particular injury or disease process (Anderson et al., 2014). In addition to not being expressed prior to the onset of inflammation, we have thus far found Lcn2CreERT2 expression in several of the disease models we have explored. Lcn2CreERT2 is upregulated following IP LPS, T. gondii infection, and intrastriatal LPS (Figures 1, 2, and 3), and also in other disease models briefly examined in this paper that will require further investigation (Figure S3). Unsurprisingly, expression of tdTomato in the 5XFAD mouse was extremely sparse and restricted to thalamus, consistent with a previous mRNA sequencing study that showed that Lcn2 is not broadly or strongly upregulated in this AD mouse model (Habib et al., 2020). Future studies could continue to expand the number of diseases investigated with the Lcn2CreERT2 mouse, which would shed light on heterogeneity of RAs.The ability of the Lcn2CreERT2 mouse to permanently label RAs with a fluorescent marker opens up a number of experimental possibilities. In our study, we provided proof-of-concept for different directions one could take. First, we were able to isolate labeled Lcn2Cre+ cells using FACS. Isolation of RAs will enable any of several sequencing strategies for the study of gene expression changes in RAs. Second, we were able to explore a long-standing question in the field about the fate of RAs long after acute inflammation (Escartin et al., 2021), a question that has remained unanswered despite recent advances in astrocyte molecular phenotyping (Diaz-Castro et al., 2021; Hasel et al., 2021). By performing longitudinal studies, we observed that the astrocytes that were Lcn2 positive 1 day after induction of inflammation remained in the CNS long after the inflammatory response subsided. Further, the expression of markers of astrocyte reactivity analyzed in our study returned to basal levels. These findings suggest that astrocytes that become reactive after an acute injury or insult have the capacity to largely revert back their expression profiles to the non-reactive state after the immune and healing response is complete, rather than being tagged for programmed cell death and replaced. What this might mean for the development and progression of brain disease remains to be determined. Future studies could use the Lcn2CreERT2 mouse to perform longitudinal analysis of the same astrocytes over time using 2-photon microscopy in living mice to address this question further.Regarding the genes differentially regulated in the tdTomato+ cells of Lcn2CreERT2; Ai9 mice after low-dose LPS treatment compared with saline controls, mining of previous datasets suggest that Slc1a3/Glast also trends toward being upregulated in multiple astrocytic populations 24 h after high-dose LPS treatment (Hasel et al., 2021) (https://www.liddelowlab.com/gliaseq; https://gliaseqrev.ue.r.appspot.com). A similar but more striking upregulation was also observed for Lrrc8a 24 h after high-dose LPS (Hasel et al., 2021). Consistent with our findings, by 72 h post-LPS treatment the expression of both of these genes appears to revert back to baseline, or at least become noticeably downregulated compared with 24 h. Interestingly, Lrrc8a and other Lrrc8s are differentially regulated also in the R6/2 model of Huntington disease, but in that case they are downregulated compared with non-carriers (Diaz-Castro et al., 2019). The exploration of the role of VRAC/Lrrc8 in the etiology and progression of a variety of brain disorders is an area of active interest (Mongin, 2016; Yang et al., 2019).The observation that activated cells are likely to remain in the CNS raises a number of interesting questions for further study. RAs undergo a number of changes that may impact their normal homeostatic functions (Sofroniew, 2015). It is currently unknown if an RA that can revert back to a non-reactive state is able to perform its key homeostatic functions as efficiently as before the injury. Our data showed that one morphological feature of reactivity, increased complexity of distal processes, fails to revert back to baseline levels even 30 days after inflammation, suggesting that some effects of the inflammatory process might be long lasting. Given the emerging relationship between astrocyte morphology and function (Lawal et al., 2022) in the future it will be interesting to investigate how this long-lasting effect on number of distal branches affects astrocyte physiology. In this regard, the Lcn2CreERT2 mouse will be useful to analyze many key functions of astrocytes before, during, and after injury (or in disease progression), such as glutamate uptake and potassium buffering, synaptogenesis and synaptic maintenance, regulation of the brain extracellular space, and cerebrovascular coupling, to name a few. Fluorescent labeling also opens the possibility to examine RAs in real time in living mice across disease and injury progression, allowing a live look-in at some of the more controversial aspects of reactivity, such as migration, proliferation, and changes in astrocyte connectivity (Escartin et al., 2021).
Limitations of the study
The Lcn2CreERT2 mouse has three main limitations when it comes to the study of RAs. Although Cre was expressed in RAs in a number of different disease models, the percentage of Lcn2CreERT2 expressing astrocytes was far lower than the percentage of cells stained for GFAP or endogenous Lcn2. This limitation is compounded by the fact that Lcn2, which was initially thought to be upregulated in most mouse brain disease models, does not appear to be strongly upregulated in models of Alzheimer or Huntington disease (Diaz-Castro et al., 2019; Habib et al., 2020; Zamanian et al., 2012). In addition, there seems to be some regional specify to the expression of Lcn2CreERT2 in astrocytes. While most areas of the forebrain expressed TdTomato in Lcn2CreERT2;Ai9 animals after induction of inflammation, labeling of astrocytes was widespread in thalamus and hypothalamus, somewhat limited in the dorsal cortex, and very low in the dorsal hippocampus (Figure S2E). While there might be many reasons behind the specificity in Lcn2CreERT2 expression, from alternative splicing of the targeted exon to existence of alternative Lcn2 promoters, the expression pattern could be revealing underlying regional biological differences in RAs. Molecular, functional, and morphological differences have been noted for several other regions in the healthy and diseased brain, and this might just be one more example of astrocyte heterogeneity (Adams and Gallo, 2018; Anderson et al., 2014; Sofroniew, 2015).The third potential limitation is expression of Lcn2CreERT2 in non-astrocytic cells. Lcn2CreERT2 is also expressed in endothelial cells following LPS, which was expected from our initial observations of endogenous Lcn2 expression. Therefore, Lcn2CreERT2 could also be a useful tool for the study of reactive endothelial cells and the BBB in brain injury and disease. In order to focus our study on RAs specifically, we used a combinatorial approach in which an AAV viral construct AAV-GFAP(long)-FLEX-GCaMP7f was used to drive expression of Cre-dependent GCaMP7 under the GFAP promoter. The use of this approach allowed us to intersect targeting of reactive cells (Lcn2CreERT2) with astrocytes (GFAP), thereby preventing LPS-induced endothelial expression of Cre. As we were able to observe robust expression of GCaMP7 in astrocytes using this approach, it could be used in future studies to examine changes in RA calcium signaling. Similarly, the use of the Lcn2CreERT2 line with intersectional transgenic drivers or viral vectors that selectively express GOIs based on the overlapping or sequential expression of multiple recombinases (e.g., Cre and Flp, Cre and Dre) will allow for labeling of subpopulations of reactive cells with greater specificity and also make a variety of Boolean logic operations (AND, NOT, OR) available (Awatramani et al., 2003; Fan et al., 2020; Fenno et al., 2014, 2020; Ubina et al., 2021). For flow cytometry and FACS, combining tdTomato detection with an antibody for a surface marker of astrocytes like ACSA2 could be a suitable solution (Kantzer et al., 2017; Lattke et al., 2021). Overall, we view the Lcn2CreERT2 mouse as a first generation tool for the study of RAs. As heterogeneity of RAs is explored further, next generation tools could be designed to target other specific subsets of RAs that are predominantly expressed in a particular brain injury or disease process.
STAR★Methods
Key resources table
Resource availability
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Martin M. Riccomagno (martinmr@ucr.edu).
Materials availability
The Lcn2CreERT2 mouse line is available upon request from the lead contact. The GFAP-FLEX-GCAMP7f plasmid has been deposited at Addgene (ID: 189612)
Experimental model and subject details
Animals
Wild-type Swiss Webster mice were used for histology to examine LCN-2 expression in the naive and inflamed brain. Lcn2CreERT2 animals were maintained in the Swiss Webster background and crossed into the Ai9 tdTomato reporter line (strain #007909) available from JAX for experiments. Cre-negative controls were Lcn2CreERT2 negative littermates, while saline controls were performed on Cre positive littermates. All procedures were done on animals 4-6 months of age. For each experiment at least one male and 1 female were included. Mice were maintained in a 12-hour light/dark cycle with ad libitum food and water at room temperature. All animal procedures detailed in the following sections were preformed according to the University of California, Riverside’s Institutional Animal Care and Use Committee (IACUC) guidelines.
T. gondii
The Me49 Toxoplasma strain was maintained in vivo by passaging consecutively in Swiss Webster (SW) and CBA mice (JAX).
Mouse distribution
The Lcn2CreERT2 mouse line is available upon request from the lead contact.
Method details
Generation of Lcn2CreERT2 mice
The mouse line carrying a CreERT2 between the Lcn2 promoter and the 5′ untranslated region (UTR) of the Lcn2 gene was generated using the vector pBS-PGK-DTA-pa, modified by Bac recombineering (Liu et al., 2003). The Lcn2-CreERT2 allele was engineered to encode for an ERT2 tagged Cre recombinase upstream of the 5′ UTR and an FTR-flanked neomycin cassette. Targeting and selection of Embryonic Stem (ES) cells, and production of chimeric mice by injection of targeted ES cells into blastocysts was performed by the Transgenic Mouse Facility (TMF) at the University of California, Irvine. Germline transmission of the Lcn2-CreERT2 allele was verified by southern blot and a PCR genotyping strategy. In order to eliminate the neomycin cassette, Lcn2-CreERT2 animals were crossed to the deleter mice carrying ACT-FlpE, which expresses FlpE recombinase under the ACTB promoter. Expression of FlpE generates the Lcn2CreERT2 allele by removal of the neomycin gene while leaving a single FRT site in the genomic DNA. All breeding at the chimera stage was conducted in C57/B16J mice and subsequently outbred to the Swiss Webster background for at least 3 generations. PCR genotyping of the Lcn2CreERT2 mouse was conducted using the following primers: Lcn2CreERT2 Forward: 5′-GGCAGTCCAGATCTGAGCTGC-3′ and Lcn2CreERT2 Reverse: 5′-TGCATCGACCGGTAATGCAGG-3′.
Treatments and surgeries
Low-dose and high-dose LPS treatments
Lcn2CreERT2 animals crossed into the Ai9 tdTomato reporter line were separated into 4 treatment groups; Oil and Saline, Oil and LPS, tamoxifen and saline, and tamoxifen and LPS. Animals in the two tamoxifen treated groups were given an oral gavage of 150 μg/g of tamoxifen (Sigma Aldrich, T5648) dissolved in corn oil (Sigma Aldrich, C8267), while animals in the two oil groups received an equivalent dose of corn oil. Tamoxifen/oil treatments were given every 24 hours for 6 consecutive days. Twenty-four hours after the first tamoxifen or oil treatment, animals in the two LPS treatment groups received intraperitoneal (IP) injections of 1.5 mg/kg lipopolysaccharide (Sigma Aldrich; L2880, Lots 68M4053v and 39M4004v) dissolved in sterile 1x phosphate buffered saline (PBS), while animals in the two saline treated groups received an equivalent dose of sterile 1x PBS. LPS/saline treatments occurred every 24 hours for 5 consecutive days. Animals were collected for tissue processing 24 hours to 1 month following the final treatment.For experiments utilizing 5-ethynyl-2′-deoxyuridine (EdU), Lcn2-CreERT2;Ai9 mice were treated with the low dose LPS protocol described above and given 150 mg/kg of EdU (Molecular Probes, cat#E10187) IP on days 4 and 5 of LPS treatment and the following day (3 total doses). Animals collected at the 24-hour post LPS timepoint were given EdU 2 hours prior to collection. Animals were also collected 7 days or 1 month following LPS treatment.The same treatment groups as described for the low-dose experiment were used for the high-dose LPS treatments. However, for these experiments Tamoxifen/oil treatments were given every 24 hours for only 3 consecutive days. Twenty-four hours after the first tamoxifen or oil treatment, animals in the LPS treatment groups received a single IP injection of 10 mg/kg lipopolysaccharide dissolved in sterile 1x PBS, while animals in the saline treated groups received an equivalent dose of sterile 1x PBS. Animals were collected for tissue processing 24 hours to 1 month following the final treatment.
Toxoplasma gondii injections
To induce chronic Toxoplasma infection, mice were infected viaIP with the cyst forming Me49 Toxoplasma strain maintained in vivo by passaging consecutively in Swiss Webster (SW) and CBA mice (JAX). Brains from CBA mice were harvested, homogenized in 3ml sterile 1X Phosphate Buffer Saline (PBS) through needle passing, and cysts counted using a 30ul aliquot and a light microscope (average cyst burden/brain ∼3000). Cyst homogenate was then diluted in sterile 1X PBS and 10 Me49 cysts injected via 200 ul i.p. injections. This amount mimics a physiological Toxoplasma infection that initiates in the gut of the host and travels through the blood stream to eventually enter the brain to form cysts in neurons. Mice were monitored closely immediately after infection to watch for any adverse effects. Following at least three weeks post infection, experimental animals, Lcn2CreERT2; Ai9 tdTomato mice were infected with 10 Me49 T.gondii cysts diluted in 1X PBS via 200ul i.p. injections. Three weeks following the initial infection date, when acute systemic inflammation has subsided and infection is localized to the brain, Lcn2CreERT2; Ai9 tdTomato mice were given 150 ug/g tamoxifen dissolved in corn oil. Tamoxifen treatments continued 3 times per week for 4 weeks. Twenty-four hours after the final tamoxifen treatment, animals were collected for tissue processing.
Intrastriatal LPS
Lcn2CreERT2 animals crossed into the Ai9 tdTomato reporter line were given 150 ug/g tamoxifen dissolved in corn oil every 24 hours for 3 consecutive days. Striatal LPS was injected as described in Hunter et al. (2009). Briefly, on the day of the second tamoxifen treatment animals were stereotactically injected with 1 μl of sterile saline or 1μl of 7.5 mg/ml LPS in four locations in the striatum using the following coordinates from Bregma: a/p +1.18 mm, m/l ± 1.5 mm, and d/v −3.5 mm as well as a/p −0.34 mm, m/l ± 2.5 mm, and d/v −3.2 mm. Injections were performed at 0.5 μl/minute and the needle was kept in place for 5 minutes prior to withdrawing. Animals were kept on a heating pad and received sterile saline subcutaneously until they became hydrated and free moving. Seven days after the injections, animals were collected for tissue processing.
Generation of the AAV-GFAP (long)-FLEX-GCAMP7f vector and stereotactic injections
The AAV-GFAP(long)-FLEX-GCAMP7f construct was designed in house. Briefly, a FLEX/DIO cassette (Atasoy et al., 2008; Schnütgen et al., 2003) for GCaMP7f in an inverted orientation with respect to a promoter was placed downstream of the GFAP2.2 promoter (Lee et al., 2008) in an AAV backbone (Figure S4C). The actual vector was then generated and packaged into AAV(PHP.eB) by Vector Builder (Lot 200314AAVW07; 2.53x1013 GC/ml). Stereotactic injections were performed as previously described on Lcn2CreERT2 animals. Mice were put under isoflurane anesthesia for the duration of the procedure. Injections of AAV(PHP.eB)-GFAP(long)-FLEX-GCAMP7f (1 x 1013 GC/ml) were performed targeting the right thalamus (coordinates: a/p -1.70 mm, m/l -1.00 mm, d/v -3.00 mm). Mice were injected with 250 nl using a Hamilton Neuros 32 gauge syringe at 75 nl/min. Three weeks after AAV injection, mice were gavaged with tamoxifen for 3 consecutive days, and given 10 mg/kg LPS or equivalent saline on the second day of tamoxifen. Three days after the final tamoxifen treatment, brains were collected and stained for GFP to amplify the GCaMP7 signal.
Flow cytometry
To isolate astrocytes, mouse brains were perfused with sterile 1x PBS and placed in RPMI media (Gibco, 11875101) containing 1% FCS (Corning, MT35015CV) and 25mN HEPES. Perfused brains were transferred to a chilled 60 mm petri dish, passed through an 18g syringe needle, and treated with 4 ml of 0.25% trypsin. Brain suspension was digested at 37°C for 30 minutes in 50 ml conical tubes. During digestion, the mixture was inverted every 5 minutes. Trypsin digestion was stopped with the addition of 30 ml RPMI containing 20% FCS and centrifuged at 1000 rpm for 5 minutes at 4°C. Supernatant was decanted and the pellet resuspended in RPMI (1% FCS) to a total volume of 7 ml. The suspension was transferred to a conical tube with 3 ml of 100% Percoll (Sigma Aldrich, P1644), gently mixed and underlaid with1 ml of 70% Percoll. Samples were centrifuged at 2500 RPM for 20 minutes at 4°C. Following density separation, glial cells were harvested from the interphase and washed in RPMI (1% FCS) and resuspended in FACS buffer for cell sorting. DAPI was added to the FACS buffer to identify dead cells (Wallberg et al., 2016). The samples were analyzed using the MoFLo Astrios EQ Cell Sorter and data were analyzed using FlowJo 10.1.
Fluorescent in situ hybridization: RNAScope
Fluorescent in situ hybridization was performed on mouse tissue using the RNAScope Multiplex Fluorescent Detection kit v2 (Advanced Cell Diagnostics, ACD, 323110). In this assay, the target RNAs are hybridized to single stranded DNA “z-probes” composed of a complementary ∼20 nucleotide sequence to the RNA of interest, a spacer sequence, and a 14 nucleotide tail region. Twenty-eight nucleotide -reamplifier oligos bind to the tail region of z-probe pairs bound to adjacent sequences in the RNA, which are then bound to amplifiers that are labeled with horseradish peroxidase (HRP) enzyme molecules. Tyramide-conjugated fluorophores are added, leading to HRP enzymatic conversion of tyramide into a highly oxidized intermediate which covalently binds to proteins near the HRP label, thus depositing a large number of detectable fluorophores. Multiple RNA targets can be labeled with the use of detection probes in different channels with distinct tail sequences which allow for the generation of unique amplification trees for each target. Each target/probe is then sequentially developed using tyramide signal amplification by using channel specific HRP labels and tyramide conjugated dyes Opal 520 and Opal 690 (Akoya Biosciences, FP1487001KT and FP1497001KT). Probes used were: Slc1a3 (ACD, 430781), Lcn2 (ACD, 313971), Pecam1 (ACD, 316721), Lrrc8a (ACD, 458371), Slc1a2 (ACD, 441341), Aldh1l1 (ACD, 405891) and Gfap (ACD, 313211). At the end of signal development, sections were counterstained with DAPI (Thermo Scientific, 62248) or selected for immunohistochemistry as described below.
Immunofluorescence
Mice were perfused and extracted brains were fixed with 4% paraformaldehyde for 2 hours to overnight at 4°C, rinsed, and sunk in 30% sucrose overnight prior to being frozen in Optimum Cutting Temperature media (OCT, Tissue-Tek, 4583) for cryopreservation. Coronal sections (20 μm) were obtained on a Leica CM3050 cryostat. Sections that were immediately used for immunohistochemistry were next blocked in 10% goat serum and 0.1% Triton-X100 (Thermo Fisher, A16046.AP) for 1 hr at room temperature. This step was skipped for sections that had been previously used for RNAscope, but all steps following were the same. Sections were then incubated overnight at 4°C with primary antibodies. Following incubation, sections were washed with PBS and incubated with secondary antibodies and DAPI. Sections were washed in PBS and mounted using Vectorshield hard-set fluorescence mounting medium (Vector Laboratories, H-1400-10). Confocal fluorescence images were taken using a Leica SPE II microscope. Primary antibodies used in this study include rabbit anti-DSRed (Takara Bio, 632496, 1:500), rat anti-GFAP (Invitrogen, 13-0300, 1:1000), chicken anti-Foxo3 (EnCor CPCA-FOX3, 1:1000), and chicken anti-GFP (AVES, GFP-1020, 1:1000). Tomato-lectin (Vector Laboratories, B-1175-1, 1:75) was combined with primary antibodies. Secondary antibodies used in this study include goat anti-rabbit 488 (Invitrogen, A-11034), goat anti-rat 488 (Invitrogen, A-11006), goat anti-rat 647 (Invitrogen, A-21247), goat anti-chicken 488 (Invitrogen, A11039), streptavidin 488 (Invitrogen, S32354). For EdU experiments, the Click-iT EdU Cell Proliferation Kit from Invitrogen was used according to manufacturer instructions (cat# C10337).
Quantification and statistical analysis
Image analysis
All images were analyzed using FIJI (Schindelin et al., 2012). Cells expressing tdTomato were counted by thresholding to create a binary image, the “watershed” function was used and followed by the “analyze particles function” to count cells with a size between 20-2000 pixels2. Colocalization of IHC markers was performed by manual counting. Cells expressing tdTomato were identified and their area was turned into outlines. For EdU experiments the number of EdU and tdTomato copositive cells was taken as a percentage of total tdTomato labeled cells. Cells showing expression of markers labeled in the green or far-red channel within the outlined areas were then manually counted.Astrocytes were traced using Neurolucida 360 version 2021.1.3 (MBF Bioscience, Williston, VT USA) and analyzed as previously described (Wilhelmsson et al., 2006). Briefly, the number of cellular processes leaving the soma were counted as well as the number of processes at 15 μm away from the soma. Volume was measured by taking 0.2 μm optical sections and calculating volume from the tdTomato labeling of astrocytes.Total expression of RNAs identified through FISH was performed by analyzing total fluorescent area in selected ROIs. ROIs were drawn around the thalamus. Background fluorescence was subtracted with the “subtract background” function. The “measure” function was then used to look at total fluorescent area in the drawn ROI. For measuring expression of reactive markers within tdTomato positive astrocytes, the tdTomato positive cells were outlined and the outline was turned into an ROI. The fluorescent channel corresponding to the RNA was then made binary, the watershed function applied, and particles were analyzed within the ROI using the “analyze particles” function. All counts are reported with ± standard error of the mean.
Statistical analysis
Statistical analyses were performed using GraphPad Prism version 9.3.1 for Windows, GraphPad Software, San Diego, California USA, www.graphpad.com. Each figure panel and legend contains information on statistical tests performed along with sample sizes and p values. ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001; ∗∗∗∗p < 0.0001 for all statistical analyses presented in figures. Sample sizes are mentioned in figure legends.
Authors: Lief E Fenno; Joanna Mattis; Charu Ramakrishnan; Minsuk Hyun; Soo Yeun Lee; Miao He; Jason Tucciarone; Aslihan Selimbeyoglu; Andre Berndt; Logan Grosenick; Kelly A Zalocusky; Hannah Bernstein; Haley Swanson; Chelsey Perry; Ilka Diester; Frederick M Boyce; Caroline E Bass; Rachael Neve; Z Josh Huang; Karl Deisseroth Journal: Nat Methods Date: 2014-06-08 Impact factor: 28.547
Authors: Michael Lattke; Robert Goldstone; James K Ellis; Stefan Boeing; Jerónimo Jurado-Arjona; Nicolás Marichal; James I MacRae; Benedikt Berninger; Francois Guillemot Journal: Nat Commun Date: 2021-07-15 Impact factor: 14.919