Abstract
Parvalbumin-expressing (PV) interneurons are key neuronal elements to a global excitatory-inhibitory balance in normal cortical functioning. To better understand the circuit functions of PV interneurons, reliable animal models are needed. This study investigated the sensitivity and specificity of the most frequently used PV-Cre/tdTomato mouse line in this regard. The colocalization of the transgene (tdTomato) with the parvalbumin protein, with GAD1 (a conclusive inhibitory cell marker) and Vglut1 (a conclusive excitatory cell marker) as well as with a marker for perineuronal nets (WFA) was assessed and a substantial proportion of layer 5 PV neurons was found to be excitatory and not inhibitory in the PV-Cre/tdTomato mouse. The intersectional transgenic mouse line Vgat-Cre/PV-Flp/tdTomato provided a solution, since no colocalization of tdTomato with the Vglut1 probe was found there. In conclusion, the Vgat-Cre/PV-Flp/tdTomato mouse line seems to be a more reliable animal model for functional studies of GABAergic PV interneurons.
Similar content being viewed by others
Introduction
Cortical GABAergic neurons are a very diverse class of cells that vary widely in their molecular, physiological and morphological feature space1,2,3. Before the advent of transgenic mouse lines, this led to a confusing state of the field4. However, due to IRES-Cre-knock-in transgenic mouse lines5, the situation profoundly improved over the past decade6,7,8. Nevertheless, the specificity of transgene expression in newly generated mouse lines is often examined in a superficial manner. In order to validate these experimental model systems, a thorough characterization of the specificity and sensitivity of the transgene expression is warranted since time and again surprising observations have been reported9,10,11. Previously, we have provided a profound characterization of a VIP-expressing12 and a somatostatin-expressing mouse line13. Here, we set out to perform this characterization for two mouse models generated with the aim to genetically access the subpopulation of parvalbumin-expressing (PV) neurons, namely the PV-Cre and Vgat-Cre/PV-Flp mouse lines, which we crossed with the Ai9 and Ai65 reporter mouse lines, respectively14.
GABAergic interneurons can be classified into several subpopulations according to their protein expression, electrophysiological properties, morphology and synaptic patterns. Parvalbumin-expressing interneurons are fast-spiking GABAergic neurons, forming inhibitory synapses most frequently on the perisomatic region of their target cells8,15,16,17,18.
However, a largely ignored study has provided early evidence that parvalbumin can also be expressed by pyramidal cells in primary somatosensory cortex19. Therefore, experiments investigating circuitry and function of PV inhibitory interneurons20,21,22 need reliable animal models, since applied viral vectors for neuron manipulation or imaging would not distinguish between GABAergic and non-GABAergic neurons. With the recent advances in the generation of driver mouse lines using different specific recombinases, together with the appropriate intersectional reporter mouse lines, this confounder can now be remedied by combining a GABAergic neuron-specific driver line (Vgat-Cre)5 with a parvalbumin-specific driver line (PV-Flp) crossed with the Cre- and Flp-dependent reporter mouse line Ai6514.
Perineuronal nets (PNNs) are a specialized part of the extracellular matrix and surround different cell types, in the cortex of rodents mainly parvalbumin-expressing GABAergic interneurons23. Their appearance has been linked to the maturation of GABAergic inhibition during postnatal development24,25,26. They reduce the synaptic plasticity of parvalbumin cells by stabilizing synaptic contacts on these interneurons27. PNNs play in important role in memory consolidation28,29,30 and their disturbed formation contributes to several neurologic alterations like increased response to chronic pain or excitatory/inhibitory imbalance31,32, schizophrenia33,34,35, bipolar disorder36 and Alzheimer`s disease37. Here, we asked whether staining of PNNs will offer further insight into the characterization of the cell types labeled in the two transgenic mouse lines under study.
Therefore, in this study, we compared (i) PV-Cre/tdTomato and (ii) Vgat-Cre/PV-Flp/tdTomato mice in terms of transgenic red-fluorescent protein expression in parvalbumin-expressing interneurons by investigating the colocalization of tdTomato with parvalbumin, a pan-excitatory (Vglut1) and a pan-inhibitory (Gad1) marker as well as the wrapping of parvalbumin-expressing cells by perineuronal nets.
Results
Characterization of cortical parvalbumin-expressing neurons in the PV-Cre mouse line
At first, we mapped for 47 brain sections (in 8 mice) the average layer-specific distribution of tdTomato expressing cells. To present the results, we used descriptive statistics (mean, standard deviation and median, 25% percentile, 75% percentile, minimum and maximum to describe the distribution). In the PV-Cre mouse, the highest number of tdTomato-expressing cells was found in layer 4 (2857.6 ± 279.6 cells/mm3 barrel cortex), corresponding to a proportion of 28.7 ± 2.1% of all tdTomato-expressing cells. The lowest number of tdTomato-expressing cells were observed in layer 6 (1522.8 ± 349.4 cells/mm3 barrel cortex) and layer 5a (1499.8 ± 220.8 cells/mm3) corresponding to a proportion of 15.1 ± 2.8% and 15.1 ± 2.2% resp. of all tdTomato-expressing cells. Layer 5b contained 2468.8 ± 403.7 cells/mm3 corresponding to 24.7 ± 2.9%. Layer 2/3 contained 1617.3 ± 207.7 cells/mm3 barrel cortex. (Supplementary Fig. 1).
We defined colocalization as the overlap of the red fluorescent label, AlexaFluor 594 (corresponding to the genetically encoded tdTomato signal) with the green fluorescent label, AlexaFluor 488 (corresponding to parvalbumin antibody labeling) and used it as an assay to probe the specificity of Cre expression for parvalbumin-expressing neurons in this mouse line (n = 7 brain sections from 4 mice) (Fig. 1a). At first, we studied how many of the red fluorescent cells also have a green labeling to probe how specific tdTomato fluorescence is for parvalbumin-expressing cells in this mouse line. In 1 mm3 barrel cortex, there were 7846.6 ± 816.0 cells/mm3 showed a colocalization (white arrows in Fig. 1d) of tdTomato and parvalbumin, which resulted in a mean colocalization of 87.6 ± 6.7%. Furthermore, 348.4 ± 279.2 cells showed only parvalbumin expression (green arrowheads in Fig. 1b,c) and 1097.0 ± 561.8 cells showed only tdTomato expression (red arrowheads in Fig. 1b,c). Layer I was not considered in the analysis due to low cell body numbers (being in agreement with a virtual absence of PV cells in layer 1)38. The layer-specific distribution of cells showing a colocalization of the red and green fluorescent labels had the highest proportion in layer 2/3 (mean: 90.8 ± 8.0%) and the lowest in layer 5b (mean: 81.2 ± 8.3%) (Fig. 1e). The highest number of colocalized cells was observed in layer 4 (mean: 2357.7 ± 394.2, median: 2390.1, 25% percentile: 2111.2, 75% percentile: 2560.1, min: 1711.5, max: 2983.3), the lowest in layer 6 (mean: 1014.6 ± 299.0, median: 910.1, 25% percentile: 779.9, 75% percentile: 1269.3, min: 775.2, max: 1572.6). The highest number of non-colocalized cells was observed in layer 5b (mean: 423.1 ± 187.3, median: 430.3, 25% percentile: 338.1, 75% percentile: 581.37, min: 107.7, max: 693.3). After examining the colocalization of tdTomato with parvalbumin, we took the reverse perspective and observed the colocalization of the green fluorescent label with the red signal in our target cells (orange columns in Fig. 1f). The mean colocalization of parvalbumin antibody labeling with tdTomato expression as a measure of sensitivity corresponded to 95.6 ± 3.7% in the overall cortex.
These results suggest that the mouse model is sensitive, but its specificity needs to be discussed further (see Discussion “Technical considerations”). Since previously some weakly PV-expressing excitatory neurons had been described19, we next examined the potential excitatory nature of tdTomato-expressing cells, while at the same time verifying their assumed inhibitory phenotype. Toward this aim, the colocalization of tdTomato with inhibitory and excitatory cell markers was observed. We used the Gad1 probe (glutamic acid decarboxylase 67 kD, the key enzyme necessary for GABA synthesis) as a marker for inhibitory cells and the Vglut1 probe (vesicular glutamate transporter 1, the synaptic vesicle transporter of glutamate) as a marker for excitatory cells.
For Gad1 (n = 8 brain sections from 4 mice), most of the tdTomato labeled cells (red) showed colocalization with the Gad1 probe (green) (Fig. 2a). In 1 mm3 barrel cortex, there were 839.3 ± 342.4 cells, which showed only tdTomato expression (red arrowheads in Fig. 2b,c). 9701.4 ± 807.2 cells/mm3 showed a colocalization of tdTomato and the Gad1 probe (white arrows in Fig. 2d), which resulted in a mean colocalization of 92.1 ± 3.3%. The highest colocalization proportion was observed in layer 2/3 (mean: 98.5 ± 3.2%), the lowest in layer 5b (mean: 79.3 ± 8.0%) (Fig. 2i). The highest number of colocalized cells was seen in layer 4 (mean:2870.9 ± 246.7 cells/mm3, median: 2827.8, 25% percentile: 2702.5, 75% percentile: 3143.6, min: 2545.8, max: 3232.9), the lowest in layer 5a (mean: 1515.7 ± 189.2 cells/mm3, median: 1538.4, 25% percentile: 1333.4, 75% percentile: 1701.4, min: 1226.0, max: 1711.5). Layer 5b showed the highest number of tdTomato-only (non-colocalized) cells (mean: 565.4 ± 265.8 cells/mm3, median: 525.5, 25% percentile: 434.0, 75% percentile: 829.5, min: 110.3, max: 925.3).
For Vglut1 (n = 8 brain sections from the same 4 mice as Gad1 staining), only an exceedingly small amount of tdTomato cells (red) showed a colocalization with the Vglut1 probe (green) (Fig. 2e). In 1 mm3 barrel cortex, there were 9142.0 ± 596.1 cells, which showed only tdTomato expression (red arrowheads in Fig. 2f,g). 508.9 ± 162.1 cells/mm3 showed a colocalization of tdTomato and the Vglut1 probe (white arrow in Fig. 2h), which resulted in a mean colocalization of 5.3 ± 1.6%. The highest colocalization proportion was observed in layer 5b (mean: 18.2 ± 6.6%), the lowest in layer 4 (0%). The highest number of colocalized cells was seen in layer 5b (mean: 414.7 ± 185.3 cells/mm3, median: 406.2, 25% percentile: 319.2, 75% percentile: 492.9, min: 122.1, max: 772.7) (Fig. 2j). Thus, colocalized cells were mainly observed in layers 5a and 5b, exactly where we found the least colocalization proportion with Gad1.
These results predict that in the PV-Cre mouse line, any transgene expression will not be restricted to GABAergic interneurons but will also involve excitatory neurons mainly in layer 5b but also in layer 5a.
Characterization of cortical parvalbumin-expressing neurons in the Vgat-Cre/PV-Flp mouse line
As a possible solution for obtaining a tool to exclusively study GABAergic PV cells, we investigated the colocalization profile of tdTomato-expressing cells in the Vgat-Cre/PV-Flp mouse using altogether 4 mice. In this mouse line, the transgene should be expressed only in GABAergic cells.
In the Vgat-Cre mouse, we tested the layer-specific distribution of tdTomato-expressing cells on 59 brain sections. The highest number of tdTomato-expressing cells was found in layer 4 (2532.9 ± 645.9 cells/mm3), which corresponds to a proportion of 29.7 ± 7.0% of all tdTomato-expressing cells. The lowest number of tdTomato-expressing cells was observed in layer 5a (1267.8 ± 351.1 cells/mm3), corresponding to a proportion of 14.8 ± 3.7%. Layer 5b contained 1822.2 ± 517.7 cells/mm3, corresponding to 21.2 ± 5.3%. Layers 2/3 and 6 contained 1365.1 ± 505.7 cells/mm3 and 1582.9 ± 465.3 cells/mm3 resp. (Supplementary Fig. 2).
For studying the colocalization of tdTomato with parvalbumin protein (Fig. 3a), we used 11 brain sections. In 1 mm3 barrel cortex, there were 193.2 ± 102.8 cells, which only showed parvalbumin expression (green arrowheads in Fig. 3b,c) and 924.2 ± 455.8 cells that showed only tdTomato expression (red arrowheads in Fig. 3b,c). 7116.5.6 ± 1532.5 cells/mm3 showed a colocalization of tdTomato and parvalbumin (white arrows Fig. 3d), which resulted in a mean colocalization of 87.9 ± 6.2%. The highest colocalization proportion was observed in layer 5a (mean: 90.7 ± 7.7%), the lowest in layer 6 (mean: 85.0 ± 11.8%). The highest number of colocalized cells was seen in layer 4 (mean: 2224.4 ± 622.2 cells/mm3, median: 2194.0, 25% percentile: 1613.8, 75% percentile: 2463.5, min: 1322.7, max: 3539.8), the lowest in layer 5a (mean: 1129.4 ± 321.3 cells/mm3, median: 944.8, 25% percentile: 893.9, 75% percentile: 1253.5, min: 853.2, max: 1752.9) (Fig. 3e). The layer-specific analysis on the colocalization showed no significant difference with the PV-Cre mouse line (overall: p = 0.9298, for layer2/3: p = 0.6590, for layer 4: p = 0.7242, for layer 5a: p = 0.8397, for layer 5b: p = 0.0853, for layer 6: p = 0.3394), indicating that the proportional distribution of the neurons across laminar compartments is very similar. Also here, we took the reverse perspective and observed the colocalization of the green fluorescent label with the red signal in our target cells as a measure of sensitivity (orange columns in Fig. 3f). The mean colocalization of parvalbumin antibody labeling with tdTomato expression corresponded to 97.3 ± 1.4% in the overall cortex.
Concerning the inhibitory or excitatory nature of the tdTomato-cells, the same analysis was implemented as for the PV-Cre mouse. Also here, most cells showed a colocalization of tdTomato and Gad1 (n = 8 brain sections) (Fig. 4a). In 1 mm3 barrel cortex, there were 99.5 ± 120.1 cells, which showed only tdTomato expression (red arrowheads in Fig. 4b,c). The mean number of tdTomato cells colocalizing with Gad1 was 9360,8 ± 1038,6 cells/mm3, (white arrows in Fig. 4d), which corresponds to a mean colocalization of 98.9 ± 1.4%. This is a significantly higher proportion than in the PV-Cre mouse, which was 92.1 ± 1.4% (p = 0.0003). The highest colocalization proportion was observed in layer 5a (mean: 99.0 ± 1.9%), the lowest in layer 5b (mean: 98.4 ± 3.1%). The highest number of colocalized cells was seen in layer 4 (mean: 2726.8 ± 751.0 cells/mm3, median: 2728.5, 25% percentile: 2417.1, 75% percentile: 3183.31, min: 1209.9, max: 3764.0), the lowest in layer 5a (mean: 1342.4 ± 215.7 cells/mm3, median: 1361.2, 25% percentile: 1154.74, 75% percentile: 1521.2, min: 121.2, max: 1671.5) (Fig. 4i). In the layer-specific distribution, layers 5a and 5b showed a significant higher colocalization proportion, than in the PV-Cre mouse line (91.6 ± 5.7% vs. 99.0 ± 1.9% p = 0.0011 for L5a and 81.2 ± 8.3% vs. 98.4 ± 3.1% p = 0.0003 for L5b).
For the excitatory cell marker Vglut1 (n = 8 brain sections), colocalization was virtually non-existent (Fig. 4e,h). In 1 mm3 barrel cortex, only 12.9 ± 24.3 cells were colocalized and 7523.4 ± 1245.2 cells showed a tdTomato expression (red arrowheads in Fig. 4f,g). This corresponds to a mean colocalization of 0.2 ± 0.4% (Fig. 4j), which we consider as biological noise. The colocalization for tdTomato and Vglut1 was significantly lower in the Vgat-Cre/PV-Flp mouse, than in the PV-Cre mouse line (overall: 5.3 ± 1.6% vs. 0.2 ± 0.4% p = 0.0002, for L5a 6.1 ± 4.7% vs. 0% p = 0.0014, for L5b 18.2 ± 6.6% vs. 0.3 ± 0.8% p = 0.0002).
These results imply that the Vgat-Cre/PV-Flp mouse line is highly specific for targeting transgene expression to GABAergic parvalbumin-expressing interneurons.
Perineuronal nets
For this part of the study, we wanted to leverage the known tight association of perineuronal nets with PV neurons39,40,41,42,43 to inquire whether they have a potential to distinguish between inhibitory and excitatory PV neurons. Thus, we compared the PNN-enwrapping of tdTomato-cells in both mouse lines. For this purpose, we used WFA (Wisteria floribunda agglutinin), a lectin labeling chondroitin sulfate proteoglycans as a major component of the PNN25,44,45.
First, PNN were studied in the PV-Cre/tdTomato mouse (n = 8 brain sections). The red fluorescent tdTomato-cells were surrounded by the green fluorescent WFA. This configuration corresponds to a spatial codistribution, but in order to have a uniform presentation of our findings, we keep the term colocalization for our figures and result descriptions. Remarkably, the green signal of WFA could be seen nearly exclusively around red fluorescent tdTomato-cells (Fig. 5a). In the considered brain sections, there were 2839.0 ± 603.4 cells/mm3, which showed only tdTomato expression, without WFA-surrounding (red arrowheads in Fig. 5b,c). A mean number of cells amounting to 6909.6 ± 587.3 cells/mm3 were colocalized (white arrows in Fig. 5d). This corresponds to a mean colocalization of 70.9 ± 5.6%. The highest colocalization proportion was observed in layer 4 (mean: 92.1 ± 3.9%), the lowest in layer 5b (mean: 55.8 ± 6.0%). The highest number of colocalized cells was seen in layer 4 (mean: 2538.0 ± 136.1 cells/mm3, median: 2515.3, 25% percentile: 2434.6, 75% percentile: 2687.5, min: 2351.1, max: 2733.4), the lowest in layer 6 (mean: 808.8 ± 224.9 cells/mm3, median: 748.4, 25% percentile: 692.5, 75% percentile: 979.3, min: 500.7, max: 1225.9) (Fig. 5e). From the reverse perspective, the mean colocalization of WFA with tdTomato corresponds to 99.2 ± 0.9% for the overall cortex (orange columns in Fig. 5f).
The same analysis on PNN was performed in the Vgat-Cre/PV-Flp mouse (n = 8 brain sections) (Fig. 6a). We found 1421.4 ± 384.1 cells showing only tdTomato expression in 1 mm3 barrel cortex (red arrowheads in Fig. 6b,c). There were 5984.0 ± 722.1 colocalized cells in 1 mm3 barrel cortex (white arrows in Fig. 6d), corresponding to a mean colocalization of 80.7 ± 5.5%. This was significantly higher than in the PV-Cre mouse line (70.9 ± 5.6% vs. 80.7 ± 5.5% p = 0.003). The highest colocailzation proportion was observed in layer 4 (mean: 93.9 ± 4.6%), the lowest in layer 2/3 (mean: 65.1 ± 16.9%). The highest number of colocalized cells was seen in layer 4 (mean: 2308.7 ± 370.9 cells/mm3, median: 2190.9, 25% percentile: 1983.9, 75% percentile: 2667.1, min: 1889.3, max: 2916.6), the least colocalizations were found in layer 2/3 (mean: 694.2 ± 230.0 cells/mm3, median: 697.8, 25% percentile: 488.6, 75% percentile: 892.1, min: 359.2, max: 1022.4) (Fig. 6e). Layer 5b showed a significantly higher colocalization than in the PV-Cre mouse line (55.8 ± 6.0% vs. 74.7 ± 17.4% p = 0,0104). From the reverse perspective, the mean colocalization of WFA with tdTomato corresponds to 97.8 ± 1.2% for the overall cortex (orange columns in Fig. 6f).
These results are in line with those of the first part of the study. In the PV-Cre mouse, layer 5b has the lowest colocalization proportion (55.6 ± 6.0%) and the highest number of tdTomato-only (non-colocalized) cells (1137.1 ± 21.5 cells/mm3). Considering that PNN surround almost exclusively parvalbumin-expressing GABAergic interneurons in the barrel cortex (99.2 ± 0.9% and 97.8 ± 1.2% in PV-Cre and Vgat-Cre/PV-Flp, respectively), we can assume, that in the PV-Cre mouse line, excitatory cells coexpressing parvalbumin are present, especially in layer 5b. This subgroup of cells disappears in the Vgat-Cre/PV-Flp mouse, since here layer 2/3 has the lowest colocalization proportion (65.1 ± 16.9%).
Discussion
In contrast to many previous BAC transgenic mice46,47, IRES-Cre knock-in mice like PV-Cre are generally considered to have a highly specific transgene expression with respect to the targeted cell population5,48. However, once in a while, at least for some brain areas, off-target expression10 or low sensitivity11 has been reported. This points to the prevailing need to characterize each transgenic mouse line for specificity and sensitivity of its transgene expression, in order to be able to draw firm conclusions from functional manipulation experiments.
Parvalbumin (PV)-expressing GABAergic interneurons have a crucial role in maintaining the excitation-inhibition balance in the cortex and contribute to the development of psychiatric conditions like autism, schizophrenia or Alzheimer`s disease49,50,51,52. Therefore, it is very important to find reliable animal models specific and sensitive for this cell type. In the present study, we compared the widely used PV-Cre/tdTomato and the more recently introduced Vgat-Cre/PV-Flp/tdTomato mouse lines with regard to specificity of genetically targeted recombinase expression for PV-expressing interneurons. We show that only with an intersectional approach14 the physiologically occurring population of PV-expressing pyramidal cells in L53,19 can be excluded from functional manipulations like optogenetics or chemogenetics, in order to achieve an unbiased readout.
Technical considerations
Ideally, one would like to have a highly sensitive and specific transgenic animal model, which labels 100% of all target cells as verified by protein or mRNA detection of a marker molecule that characterizes the neurons of interest. However, due to inherent technical limitations caused by histological processing, neither immunohistochemistry nor in situ hybridization (ISH) does achieve this performance. Antibodies can suffer from fixation masking epitopes or from poor penetration53,54. In the same direction, RNA probes are sensitive to a number of experimental factors that might compromise the readout55. As we also used lectin histochemistry, here the sugar moieties that are detected by a single lectin may not be inclusive for all molecular compositions of perineuronal nets that do exist23.
What other reasons could explain the roughly 12–13% of “unidentified” tdTomato cells in both mouse lines? One possibility could be that they underwent Cre-mediated recombination during early development but later in life lost their ability to express parvalbumin due to unknown molecular biological mechanisms. A similar phenomenon was suggested by Hu et al.9 for the SOM-Cre mouse line.
Another explanation could be the activity-dependent expression of the parvalbumin protein. Donato et al. have observed two populations of parvalbumin-expressing cortical interneurons: cells with a low parvalbumin-expression and a low excitatory-inhibitory synaptic density ratio and cells with a high parvalbumin-expression and a high excitatory-inhibitory synaptic density ratio56. According to this phenomenon, cells expressing the tdTomato signal which are negative for the parvalbumin antibody may be parvalbumin-expressing cells having a low protein expression due to low activation and therefore escape detection by the antibody labeling. This could also explain, why we still have ~ 12–13% of tdTomato + /aPV- cells in the Vgat-Cre/PV-Flp mouse line where the parvalbumin-expressing excitatory cells are eliminated. Furthermore, Filice et al. have shown, that in ASD mouse models, the number of parvalbumin interneurons is unchanged, while parvalbumin protein and PValb mRNA levels decrease, proving the existence of parvalbumin-expressing cells with a very low protein expression level57.
We also want to state here that in years of studying tdTomato-labeled cells in the PV-Cre/tdTomato mouse line with patch clamp recordings and subsequent single cell reconstruction, all neurons in all layers were fast spiking and showed a basket-cell like morphology58 (Preuss et al., unpublished observations).
Keeping this in mind, we will now carefully consider the results of our colocalization studies.
Colocalization of the tdTomato signal with the parvalbumin antibody, glutamic acid decarboxylase 67 (Gad1) probe and vesicular glutamate transporter 1 (Vglut1) probe
In the PV-Cre/tdTomato mouse, the mean colocalization ratio of tdTomato with parvalbumin corresponded to 87.6 ± 6.7%. The mean colocalization of parvalbumin with tdTomato to 95.6 ± 3.7%. Assuming that ~ 12% of tdTomato-labeled neurons that did not express parvalbumin are a consequence of too low sensitivity of the antibody, we tentatively conclude that this mouse line is sensitive and specific for cortical PV neurons. To further investigate the inhibitory or potential excitatory nature of the tdTomato-expressing cells, their colocalization with Gad1 and Vglut1, respectively, was studied. The mean colocalization of tdTomato with Gad1 corresponded to 92.1 ± 3.3%, the mean colocalization of tdTomato with Vglut1 to 5.3 ± 1.6%, pointing to a small but reliable excitatory neuron population. Interestingly, the highest number of tdTomato/Vglut1 colocalizing cells and the highest colocalization ratio was found in layer 5b (414.7 ± 1885.3 cells/mm3 and 18.2 ± 6.6% resp.), which is consistent with previous findings describing parvalbumin-expressing cells, that are negative for GABA59 and found to be pyramidal cells19. Our study now provides a quantification of the proportion of these parvalbumin-expressing excitatory cells (5.3 ± 1.6%) averaged across all layers and revealed their-specific distribution by showing, that most of these cells are in layers 5a (6.0 ± 4.7%) and 5b (18.2 ± 6.6%).
In Vgat-Cre/PV-Flp/tdTomato mice, the mean colocalization of tdTomato with parvalbumin corresponded to 87.8 ± 6.6% and the mean colocalization of parvalbumin with tdTomato to 97.6 ± 1.0%. These figures, under the same assumption as above, also lead to the conclusion that this mouse line is sensitive and specific for PV cells. But did it also rid us from the excitatory cell component?
The colocalization of tdTomato and Vglut1 corresponded to 0.2 ± 0.4% (versus 98.9 ± 1.4% colocalization with Gad1), so we have good evidence that, in this intersectional mouse line, the pyramidal neurons coexpressing parvalbumin were excluded from tdTomato expression. This is due to the molecular biological features of the Vgat-Cre/PV-Flp/tdTomato mouse line, which equal a biological “and”-gate60.
Another matter of caveat is the fact, that we used predominantly male animals in this study. Retrospectively, we consider this as scientifically undesirable. However, studies have shown that for histology data there were no sex differences and that females were not more variable than males61. Other studies have shown that the variability of gene expression was similar in males and females62. The predominance of male animals in our study had therefore most probably not much, if any, impact on our results.
Codistribution with WFA
Perineuronal nets (PNNs) are part of the extracellular matrix surrounding the cell bodies and proximal dendrites of certain neurons23. Thus, the term colocalization here means codistribution in the immediate vicinity if the target cell`s plasma membrane. In different regions of the central nervous system, the cell types surrounded by PNNs are different: in the neocortex, mainly the parvalbumin-expressing GABAergic interneurons are surrounded by the PNNs43,63. However, in certain regions of the hippocampus64, PNNs surround excitatory and inhibitory cells.
In the neocortex of the mouse, the parvalbumin-expressing neurons are the main cell type surrounded by perineuronal nets23. This is consistent with our findings, since the mean colocalization of WFA with tdTomato corresponded to 99.2 ± 0.9% in the PV-Cre/tdTomato mouse and to 97.8 ± 1.2% in the Vgat-Cre/PV-Flp/tdTomato mouse. The mean colocalization of tdTomato with WFA corresponded to 70.9 ± 5.6% in the PV-Cre/tdTomato mouse and to 80.7 ± 5.5% in the Vgat-Cre/PV-Flp/tdTomato mouse, which shows a significant difference (p = 0.003). Thus, the large majority of the PV-cells have a PNN-ensheathment. Those that do not could be chandelier cells, which also would explain the pronounced non-colocalization in layer 2/3, which is home to many of these cells65. Altogether, our visualization of PNNs did not disclose a means to distinguish between GABAergic and glutamatergic PV neurons.
However, since not every type of perineuronal net can be visualized with WFA66, future studies using different lectins or antibodies might reveal strategies that could substitute for the laborious intersectional breeding strategy.
Summing up the results, our study has shown that the Vgat-Cre/PV-Flp/tdTomato mouse line is a more reliable animal model for experiments investigating the synaptic connections and functions of parvalbumin-expressing GABAergic interneurons6,8, since it rules out layer 5 pyramidal cells coexpressing parvalbumin. Future studies using the PV-Cre/tdTomato mouse line have to consider L5 pyramidal cells as a putative confounder.
Methods
All experiments were carried out according to the German guidelines of animal care. The experimental protocol was approved by the Niedersächsische Landesamt für Verbraucherschutz und Lebensmittelsicherheit (LAVES; 33.19-42502-04-15/1897). The animals were kept under a 12 h day/12 h night cycle and had access to food and water ad libitum.
All experiments and methods were carried out in accordance with ARRIVE guidelines.
Eight adult PV-Cre/tdTomato mice (age: 4–8 months, weight: 20–30 g, 7 males, 1 female; 4 of these animals were used for immunohistochemical staining, another 4 for fluorescent in situ hybridization) and four Vgat-Cre/PV-Flp/tdTomato mice (age: 4 months, weight: 20–30 g, all males; the same animals were used for immunohistochemical staining and in situ hybridization) were used for this study. The use of a control group or randomization was not applicable in this study. PV-Cre/tdTomato mice were generated by crossing homozygous Pvalb-IRES-Cre (B6;129P2-Pvalbtm1(cre)Arbr/J, The Jackson Laboratory, Bar Harbor, USA) mice with homozygous Ai9 mice (B6.Cg-Gt(ROSA)26Sortm9(CAG-tdTomato)Hze/J, The Jackson Laboratory). For generating Vgat-Cre/PV-Flp/tdTomato mice we first crossed homozygous Vgat-IRES-Cre ((Slc32a1tm2(cre)Lowl/J, The Jackson Laboratory) with homozygous Pvalb-2A-FlpO-D (B6.Cg-Pvalbtm4.1(FLPo)Hze/J, The Jackson Laboratory). Offspring heterozygous for Vgat-Cre/PV-Flp were further bred to obtain homozygous mice, which were crossed with Ai65 mice (B6;129S-Gt(ROSA)26Sortm65.1(CAG-tdTomato)Hze/J, The Jackson Laboratory).
All mice were transcardially perfused with 4% paraformaldehyde (PFA) in 0.1 M phosphate buffer (PB, pH 7.4) after an intraperitoneal injection of ketamine (0.1 ml/10 g bodyweight). After the perfusion, the brains were removed from the skull and underwent postfixation (2 h in PFA at 4 °C). The brains used for immunohistochemistry were washed 2 × 15 min in 0.1 M PB pH 7.4 and stored at 4 °C until cutting. The brains for fluorescent in situ hybridization (FISH) were immersed in a cryoprotective solution (20% sucrose solution in 0.01 M PB with 0.9% NaCl, PBS, pH 7.4), stored overnight at 4 °C and were shockfrozen with isopentane at − 40 °C and stored at − 80 °C until cutting.
Parvalbumin-immunohistochemistry and lectin histochemistry
The brains were cut in 40 µm-thick sections through the barrel cortex with a vibratome (VT 1200S, Leica, Wetzlar, Germany). The sections were washed 2 × 15 min in 0.05 M Tris buffer (TB, pH 7.6), 2 × 15 min 0.05 M Tris-buffered saline (TBS) pH 7.6 and 2 × 15 min with TBS and 0.5% Triton X-100 (TBST, pH 7.6) at room temperature. The sections were then blocked with 0.25% bovine serum albumin (BSA; Carl Roth, Karlsruhe, Germany) and 10% normal goat serum (NGS; Jackson Immuno-Research Laboratories, West Grove, Pennsylvania, USA) in TBST (0.05 M, pH 7.6). The primary antibody rabbit-anti-PV 25 (Swant, Martly, Switzerland) and the biotinylated lectin Wisteria floribunda agglutinin (WFA; Sigma-Aldrich, Munich, Germany) were diluted in the blocking solution to 1:5000 and 1:2000, respectively. Three brain sections were stained for each label, with the sections being incubated for 72 h at 4 °C. The sections were then washed 4 × 15 min with TBST (0.05 M, pH 7.6) at room temperature. After washing, the sections were incubated in the secondary antibody, goat-anti-rabbit Alexa 488 (Life Technologies, Darmstadt, Germany) diluted 1:500 in TBST (0.05 M, pH 7.6) or in Streptavidin Alexa Fluor 488 (Thermo Fisher Scientific, Massachusetts, USA) diluted 1:300 in TBST (0.05 M, pH 7.6) for 4 h at room temperature. The sections were washed after this incubation for 2 × 15 min in TBST (0.05 M, pH 7.6) and 1 × 15 min in TBS (0.05 M, pH 7.6) at room temperature. To display the cell nuclei, sections were also stained with 4′-5-diamidino-2-phenylindole (DAPI, Life Technologies, Darmstadt, Germany) diluted 1:5000 in TBS (0.05 M, pH 7.6) for 5 min at room temperature. After staining the nuclei, the sections were washed 1 × 15 min in TBS (0.05 M, pH 7.6) and 2 × 15 min in TB (0.05 M, pH 7.6) and stored in TB (0.05 M, pH 7.6) overnight at 4 °C. Then the sections were mounted on slides and covered with coverslips coated with Aqua Poly-Mount (Polyscience, Warrington, Pennsylvania, USA).
Fluorescent-in-situ-hybridization (FISH)
Mouse brains were stored at − 80 °C and cut into 40 µm-thick sections through the barrel cortex (Bregma − 1.06 mm to − 1.94 mm) with a cryostat (Leica CM3050 S, Nuβloch, Germany) at − 18 °C. Four PV-Cre/tdTomato and 4 Vgat-Cre/PV-Flp/tdTomato mouse brain sections were cut, collected in PBS (pH 7.4) and put in a multiwell-plate after washing with PBS (0.1 M, pH 7.4). To increase the permeability of the tissue, the sections were treated with 1% H2O2 in methanol for 20 min, followed by quenching in 0.2 M HCl for 8 min and finally treated with proteinase K dissolved in Tris–HCl/EDTA (10 mg/mL) for 10 min. The sections were postfixed in 4% PFA in 0.1 m PB (pH 7.4) for 20 min at 0 °C. After 10 min of quenching in triethanolamine/HCl (0.1 M, pH 8), 2.4 µL/mL acetic anhydride was added. The sections were washed in PBS (0.1 M, pH 7.4) for 3 × 15 min and in Standard-Saline-Citrate buffer (2 × diluted SSC) (pH 7.1) for 1 × 15 min. The sections were incubated in SSC in hybridization buffer 1:1 (hybridization buffer: 50% deionized formamide, SSC buffer, 5% dextrane sulfate, 250 µg/mL Hss-DNA, 100 µg/mL, t-RNA and Denhardt`s solution) at room temperature. Incubation with the hybridization buffer followed for 60 min at 55 °C. The used antisense probes (vesicular glutamate transporter 1, Vglut1 (produced 24.06.2015 primer for DNA inserts: 719 bp; Allen Brain Atlas Riboprobe ID: RP_050310_01_B09 (forward primer) FP:CAGAGCCGGAGGAGATGA; (reverse primer) RP: TTCCCTCAGAAACGCTGG, (nested 296 bp) FPnested: GCTGGCAGTGACGAAAGTGA, RPnested: TGAGAGGGAAAGAGGGCTGG), glutamate decarboxylase 1, Gad1(67) (produced 24.06.2015 primer for DNA inserts: (320 bp) FP: GGCACGACTGTTTACGGAGC, RP: GCCTTGTCCCCGGTGTCATA)) were prepared in the hybridization buffer and heat-shocked at 95 °C for 2 min. Later, the probes were added to the sections and the hybridization took place at 55 °C overnight.
On the following days, the sections were washed in diluted SSC and a solution of diluted SSC and 50% formamide. Then, a solution of RNAse (4 µg/mL, Marcherey-Nagel, Düren, Germany) and 2 × diluted SSC was applied to get rid of residual RNA. Afterwards, the sections were once again washed with 2 × diluted SSC and a solution of SSC and 50% formamide. Afterwards, the sections were blocked in 4% normal goat serum in TBS (0.05 M, pH 7.5) at room temperature. After blocking, the sections were washed in TBS (0.05 M, pH 7.5) for 3 × 2 min at room temperature and 0.5% blocking solution (TSA Biotin System, Akoya Biosciences, Marlborough, Massachusetts, USA) was applied for 1 × 60 min at room temperature. The sections were then incubated in peroxidase-conjugated anti-digoxigenin (1:2000 in 0.5% blocking solution) at 4 °C overnight.
After the overnight incubation, the sections were washed in TBS (0.05 M, pH 7.5) for 3 × 10 min at room temperature, then biotinylated for 210 min at room temperature with biotin amide (200 µL/slice/well). After biotinylation, the sections were washed in TBS (0.05 M, pH 7.5) for 3 × 5 min at room temperature and streptavidin-conjugated AlexaFluor 488 1:400 (Life Technologies, Darmstadt, Germany) in TBS (0.05 M, pH 7.5) for 1 × 15 min at room temperature. Finally, the sections were washed in TBS (0.05 M, pH 7.5) for 3 × 5 min at room temperature.
Since the FISH protocol completely quenched the tdTomato fluorescence, an immunohistochemical staining was performed to recover the native signal. The sections were washed 3 × 15 min in TBS pH 7.5 and blocked for 90 min with 10% normal goat serum in TBS pH 7.5. The primary antibody rabbit-anti-RFP (Rockland, Philadelphia, Pennsylvania, USA) was diluted in the blocking solution to 1:500, incubated for 72 h at 4 °C. The sections were then washed 4 × 15 min with TBS pH 7.5 at room temperature. After washing, the sections were incubated in the secondary antibody, goat-anti-rabbit Alexa 594 (Life Technologies, Darmstadt, Germany) diluted 1:500 in TBS pH 7.5 for 4 h at room temperature. The sections were washed after this incubation for 3 × 10 and 3 × 20 min in TBS pH 7.5 at room temperature. To display the cell nuclei, sections were stained with 4’-5-diamidino-2-phenylindole (DAPI) diluted 1:1000 in TBS pH 7.5 for 5 min at room temperature. After staining the nuclei, the sections were washed 3 × 15 and 2 × 15 min in TBS pH 7.5. Then the sections were mounted on slides and covered with coverslips coated with Aqua Poly-Mount.
Image acquisition and data analysis
Analysis and cell counting on brain sections was carried out with a fluorescence microscope (AxioImager.M2, Zeiss, Jena, Germany) with structured illumination (ApoTome, Zeiss). Cell counting was performed blinded. Further images were taken with the confocal microscope (Zeiss LSM 880) for illustration. For each probe or antibody, a 3D-images stack of the barrel cortex, identified by DAPI staining with a 25 × objective at an optical z-resolution of 1 µm were taken. In this 3D image, a 1000 µm-wide area through the barrel cortex was chosen for analysis and the cells were counted with Neurolucida (MBF Bioscience, Williston, Vermont, USA). Fluorescently-labeled cells of interest in this area were counted in a user-dependent manner if they were completely or (at the border) more than 50% within the delineated area. The DAPI staining enabled to delineate the cortical layers according to standard cytoarchitectonic criteria. The layer-specific analysis of the counted cells was carried out by Neuroexplorer (MBF Bioscience). The program reports the number of counted cells according to their defined markers and calculated the area of each layer and the total area in the chosen area of the barrel cortex in µm2. The calculated cell numbers were normalized in each section to 1 mm3 barrel cortex as described in12. In brief, first we multiplied the size of the total area (µm2) by the thickness of the Sect. (40 µm). This volume (in µm3) was scaled-up to 1 mm3 barrel cortex using a normalization factor, which was applied to the counted cell numbers in the total area, which made cell quantification from individual section comparable to each other. The same factor was also used to extrapolate the number of cells for each layer individually, so that the resulting values reflect the number of cells in their respective layer in a volume of 1 mm3 cortex (number of cell/mm3), to allow for a comparison across samples. A total of 26,014 cells were counted.
The layer-specific difference in colocalization between the two mouse lines was calculated with a Mann–Whitney-U non-parametric test with the statistics software GraphPad PRISM (GraphPad Software Inc, Boston, Massachusetts, USA). Descriptive statistics (mean, standard deviation, median, 25% percentile, 75% percentile, minimum, maximum) were calculated with the statistic software SigmaPlot (SYSTAT Software Inc, Palo Alto, California, USA).
Data availability
All data are available upon request from the corresponding author.
References
Gouwens, N. W. et al. integrated morphoelectric and transcriptomic classification of cortical GABAergic cells. Cell 183(4), 935-953.e19 (2020).
Scala, F. et al. Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas. Nat. Commun. 10(1), 4174 (2019).
Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563(7729), 72–78 (2018).
Ascoli, G. A. et al. Petilla terminology: Nomenclature of features of GABAergic interneurons of the cerebral cortex. Nat. Rev. Neurosci. 9(7), 557–568 (2008).
Taniguchi, H. et al. A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex. Neuron 71(6), 995–1013 (2011).
Feldmeyer, D., Qi, G., Emmenegger, V. & Staiger, J. F. Inhibitory interneurons and their circuit motifs in the many layers of the barrel cortex. Neuroscience 368, 132–151 (2018).
Staiger, J. F. & Petersen, C. C. H. Neuronal circuits in barrel cortex for whisker sensory perception. Physiol. Rev. 101(1), 353–415 (2021).
Tremblay, R., Lee, S. & Rudy, B. GABAergic interneurons in the neocortex: From cellular properties to circuits. Neuron 91(2), 260–292 (2016).
Hu, H., Cavendish, J. Z. & Agmon, A. Not all that glitters is gold: Off-target recombination in the somatostatin-IRES-Cre mouse line labels a subset of fast-spiking interneurons. Front. Neural Circuits 7, 195 (2013).
Müller-Komorowska, D. et al. Nonspecific expression in limited excitatory cell populations in interneuron-targeting cre-driver lines can have large functional effects. Front. Neural Circuits 14, 16 (2020).
Nigro, M. J., Kirikae, H., Kjelsberg, K., Nair, R. R. & Witter, M. P. Not all that is gold glitters: PV-IRES-Cre mouse line shows low efficiency of labeling of parvalbumin interneurons in the perirhinal cortex. Front. Neural Circuits 15, 781928 (2021).
Prönneke, A. et al. Characterizing VIP neurons in the barrel cortex of VIPcre/tdTomato Mice reveals layer-specific differences. Cereb. Cortex. 25(12), 4854–4868 (2015).
Zhou, X., Mansori, I., Fischer, T., Witte, M. & Staiger, J. F. Characterizing the morphology of somatostatin-expressing interneurons and their synaptic innervation pattern in the barrel cortex of the GFP-expressing inhibitory neurons mouse. J. Comp. Neurol. 528(2), 244–260 (2020).
Madisen, L. et al. Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance. Neuron 85(5), 942–958 (2015).
Cauli, B. et al. Molecular and physiological diversity of cortical nonpyramidal cells. J. Neurosci. 17(10), 3894–3906 (1997).
Cauli, B. et al. Interneurons. Fast-spiking, parvalbumin GABAergic interneurons: From cellular design to microcircuit function. Science 345(6196), 1255263 (1997).
Kawaguchi, Y. & Kubota, Y. Correlation of physiological subgroupings of nonpyramidal cells with parvalbumin- and calbindinD28k-immunoreactive neurons in layer V of rat frontal cortex. J. Neurophysiol. 70(1), 387–396 (1993).
Kubota, Y. et al. Functional effects of distinct innervation styles of pyramidal cells by fast spiking cortical interneurons. Elife 4, 919 (2015).
van Brederode, J. F., Helliesen, M. K. & Hendrickson, A. E. Distribution of the calcium-binding proteins parvalbumin and calbindin-D28k in the sensorimotor cortex of the rat. Neuroscience 44(1), 157–171 (1991).
Pfeffer, C. K., Xue, M., He, M., Huang, Z. J. & Scanziani, M. Inhibition of inhibition in visual cortex: The logic of connections between molecularly distinct interneurons. Nat. Neurosci. 16(8), 1068–1076 (2013).
Runyan, C. A. et al. Response features of parvalbumin-expressing interneurons suggest precise roles for subtypes of inhibition in visual cortex. Neuron 67(5), 847–857 (2010).
Wall, N. R. et al. Brain-Wide Maps of Synaptic Input to Cortical Interneurons. J. Neurosci. 36(14), 4000–4009 (2016).
Fawcett, J. W., Oohashi, T. & Pizzorusso, T. The roles of perineuronal nets and the perinodal extracellular matrix in neuronal function. Nat. Rev. Neurosci. 20(8), 451–465 (2019).
Carulli, D. et al. Animals lacking link protein have attenuated perineuronal nets and persistent plasticity. Brain 133(Pt 8), 2331–2347 (2010).
Oohashi, T., Edamatsu, M., Bekku, Y. & Carulli, D. The hyaluronan and proteoglycan link proteins: Organizers of the brain extracellular matrix and key molecules for neuronal function and plasticity. Exp. Neurol. 274, 134–144 (2015).
Rogers, S. L., Rankin-Gee, E., Risbud, R. M., Porter, B. E. & Marsh, E. D. Normal development of the perineuronal net in humans; in patients with and without epilepsy. Neuroscience 384, 350–360 (2018).
Baho, E. et al. p75 Neurotrophin receptor activation regulates the timing of the maturation of cortical parvalbumin interneuron connectivity and promotes juvenile-like plasticity in adult visual cortex. J. Neurosci. 39(23), 4489–4510 (2019).
Gogolla, N., Caroni, P., Lüthi, A. & Herry, C. Perineuronal nets protect fear memories from erasure. Science 325(5945), 1258–1261 (2009).
Happel, M. F. et al. Enhanced cognitive flexibility in reversal learning induced by removal of the extracellular matrix in auditory cortex. Proc. Natl. Acad. Sci. U S A 111(7), 2800–2805 (2014).
Thompson, E. H. et al. Removal of perineuronal nets disrupts recall of a remote fear memory. Proc. Natl. Acad. Sci. U S A 115(3), 607–612 (2018).
Mascio, G. et al. A progressive build-up of perineuronal nets in the somatosensory cortex is associated with the development of chronic pain in mice. J. Neurosci. 42(14), 3037–3048 (2022).
St Pierre, M. et al. Intrauterine growth restriction disrupts the postnatal critical period of synaptic plasticity in the mouse dorsal hippocampus in a model of hypertensive disease of pregnancy. Dev. Neurosci. 44, 214–232 (2021).
Berretta, S. Extracellular matrix abnormalities in schizophrenia. Neuropharmacology 62(3), 1584–1597 (2012).
Lewis, D. A., Curley, A. A., Glausier, J. R. & Volk, D. W. Cortical parvalbumin interneurons and cognitive dysfunction in schizophrenia. Trends Neurosci. 35(1), 57–67 (2012).
Mauney, S. A. et al. Developmental pattern of perineuronal nets in the human prefrontal cortex and their deficit in schizophrenia. Biol. Psychiatry 74(6), 427–435 (2013).
Pantazopoulos, H. et al. Aggrecan and chondroitin-6-sulfate abnormalities in schizophrenia and bipolar disorder: A postmortem study on the amygdala. Transl. Psychiatry 5(1), e496 (2015).
Végh, M. J. et al. Reducing hippocampal extracellular matrix reverses early memory deficits in a mouse model of Alzheimer’s disease. Acta Neuropathol Commun 2, 76 (2014).
Almási, Z., Dávid, C., Witte, M. & Staiger, J. F. Distribution patterns of three molecularly defined classes of GABAergic neurons across columnar compartments in mouse barrel cortex. Front. Neuroanat. 13, 45 (2019).
Härtig, W., Brauer, K., Bigl, V. & Brückner, G. Chondroitin sulfate proteoglycan-immunoreactivity of lectin-labeled perineuronal nets around parvalbumin-containing neurons. Brain Res. 635(1–2), 307–311 (1994).
Härtig, W., Brauer, K. & Brückner, G. Wisteria floribunda agglutinin-labelled nets surround parvalbumin-containing neurons. Neuroreport 3(10), 869–872 (1992).
Kosaka, T. & Heizmann, C. W. Selective staining of a population of parvalbumin-containing GABAergic neurons in the rat cerebral cortex by lectins with specific affinity for terminal N-acetylgalactosamine. Brain Res. 483(1), 158–163 (1989).
McRae, P. A. & Porter, B. E. The perineuronal net component of the extracellular matrix in plasticity and epilepsy. Neurochem. Int. 61(7), 963–972 (2012).
Seeger, G., Brauer, K., Härtig, W. & Brückner, G. Mapping of perineuronal nets in the rat brain stained by colloidal iron hydroxide histochemistry and lectin cytochemistry. Neuroscience 58(2), 371–388 (1994).
Celio, M. R., Spreafico, R., De Biasi, S. & Vitellaro-Zuccarello, L. Perineuronal nets: Past and present. Trends Neurosci. 21(12), 510–515 (1998).
Köppe, G., Brückner, G., Brauer, K., Härtig, W. & Bigl, V. Developmental patterns of proteoglycan-containing extracellular matrix in perineuronal nets and neuropil of the postnatal rat brain. Cell Tissue Res. 288(1), 33–41 (1997).
von Engelhardt, J., Eliava, M., Meyer, A. H., Rozov, A. & Monyer, H. Functional characterization of intrinsic cholinergic interneurons in the cortex. J. Neurosci. 27(21), 5633–5642 (2007).
Xu, X. & Callaway, E. M. Laminar specificity of functional input to distinct types of inhibitory cortical neurons. J. Neurosci. 29(1), 70–85 (2009).
Madisen, L. et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat. Neurosci. 13(1), 133–140 (2010).
Contractor, A., Ethell, I. M. & Portera-Cailliau, C. Cortical interneurons in autism. Nat. Neurosci. 24(12), 1648–1659 (2021).
Ferguson, B. R. & Gao, W. J. PV interneurons: Critical regulators of E/I balance for prefrontal cortex-dependent behavior and psychiatric disorders. Front. Neural Circuits 12, 37 (2018).
Fish, K. N. et al. Altered parvalbumin basket cell terminals in the cortical visuospatial working memory network in schizophrenia. Biol. Psychiatry 90(1), 47–57 (2021).
Marín, O. Interneuron dysfunction in psychiatric disorders. Nat. Rev. Neurosci. 13(2), 107–120 (2012).
Boenisch, T. Diluent buffer ions and pH: Their influence on the performance of monoclonal antibodies in immunohistochemistry. Appl. Immunohistochem. Mol. Morphol. 7(4), 300 (1999).
Ramos-Vara, J. A. & Miller, M. A. When tissue antigens and antibodies get along: Revisiting the technical aspects of immunohistochemistry–the red, brown, and blue technique. Vet Pathol 51(1), 42–87 (2014).
Young, A. P., Jackson, D. J. & Wyeth, R. C. A technical review and guide to RNA fluorescence in situ hybridization. PeerJ 8, e8806 (2020).
Donato, F., Rompani, S. B. & Caroni, P. Parvalbumin-expressing basket-cell network plasticity induced by experience regulates adult learning. Nature 504(7479), 272–276 (2013).
Filice, F., Vörckel, K. J., Sungur, A., Wöhr, M. & Schwaller, B. Reduction in parvalbumin expression not loss of the parvalbumin-expressing GABA interneuron subpopulation in genetic parvalbumin and shank mouse models of autism. Mol. Brain 9, 10 (2016).
Walker, F. et al. Parvalbumin- and vasoactive intestinal polypeptide-expressing neocortical interneurons impose differential inhibition on Martinotti cells. Nat. Commun. 7, 13664 (2016).
DeFelipe, J. Neocortical neuronal diversity: Chemical heterogeneity revealed by colocalization studies of classic neurotransmitters, neuropeptides, calcium-binding proteins, and cell surface molecules. Cereb. Cortex 3(4), 273–289 (1993).
Fenno, L. E. et al. Comprehensive dual- and triple-feature intersectional single-vector delivery of diverse functional payloads to cells of behaving mammals. Neuron 107(5), 836-853.e11 (2020).
Becker, J. B., Prendergast, B. J. & Liang, J. W. Female rats are not more variable than male rats: A meta-analysis of neuroscience studies. Biol. Sex Differ. 7, 34 (2016).
Itoh, Y. & Arnold, A. P. Are females more variable than males in gene expression? Meta-analysis of microarray datasets. Biol. Sex Differ. 6, 18 (2015).
Hendry, S. H., Jones, E. G., Hockfield, S. & McKay, R. D. Neuronal populations stained with the monoclonal antibody Cat-301 in the mammalian cerebral cortex and thalamus. J. Neurosci. 8(2), 518–542 (1988).
Brückner, G., Grosche, J., Hartlage-Rübsamen, M., Schmidt, S. & Schachner, M. Region and lamina-specific distribution of extracellular matrix proteoglycans, hyaluronan and tenascin-R in the mouse hippocampal formation. J. Chem. Neuroanat. 26(1), 37–50 (2003).
Favuzzi, E. et al. Activity-dependent gating of parvalbumin interneuron function by the perineuronal net protein brevican. Neuron 95(3), 639-655.e10 (2017).
Matthews, R. T. et al. Aggrecan glycoforms contribute to the molecular heterogeneity of perineuronal nets. J. Neurosci. 22(17), 7536–7547 (2002).
Acknowledgements
We thank Patricia Sprysch and Sandra Heinzl for excellent technical assistance. We thank Friedrich Sommer for his help in counting the cells. This study was supported by a grant from the Deutsche Forschungsgemeinschaft (DFG; STA 431/14-1).
Funding
Open Access funding enabled and organized by Projekt DEAL.
Author information
Authors and Affiliations
Contributions
R.P. performed data analysis, prepared all figures and wrote the first draft of the manuscript. B.P. performed all stainings and quantifications. P.T. performed the imaging and contributed to figure preparation and statistical analysis. M.W. supervised the project and contributed to figure drafting and writing. J.F.S. co-supervised the project and contributed to figure drafting and writing as well. He also secured financial support.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Palicz, R., Pater, B., Truschow, P. et al. Intersectional strategy to study cortical inhibitory parvalbumin-expressing interneurons. Sci Rep 14, 2829 (2024). https://doi.org/10.1038/s41598-024-52901-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-024-52901-y
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.