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MicroRNA-138 controls hippocampal interneuron function and short-term memory in mice
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Abstract
The proper development and function of neuronal circuits rely on a tightly regulated balance between excitatory and inhibitory (E/I) synaptic transmission, and disrupting this balance can cause neurodevelopmental disorders, for example, schizophrenia. MicroRNA-dependent gene regulation in pyramidal neurons is important for excitatory synaptic function and cognition, but its role in inhibitory interneurons is poorly understood. Here, we identify miR138-5p as a regulator of short-term memory and inhibitory synaptic transmission in the mouse hippocampus. Sponge-mediated miR138-5p inactivation specifically in mouse parvalbumin (PV)-expressing interneurons impairs spatial recognition memory and enhances GABAergic synaptic input onto pyramidal neurons. Cellular and behavioral phenotypes associated with miR138-5p inactivation are paralleled by an upregulation of the schizophrenia (SCZ)-associated Erbb4 , which we validated as a direct miR138-5p target gene. Our findings suggest that miR138-5p is a critical regulator of PV interneuron function in mice, with implications for cognition and SCZ. More generally, they provide evidence that microRNAs orchestrate neural circuit development by fine-tuning both excitatory and inhibitory synaptic transmission.
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![Figure 1. Impaired working memory in ubiquitous 138-sponge mice. (a) Schematic overview of the strategy for generating 138-spongeub mice. (b) Left: representative images of mCherry and GFP expression in hippocampal neurons from 138-floxed and 138-spongeub mice, respectively. Right: bar graphs of GFP/mCherry ratios from CA1 hippocampal neurons infected with a 138-pbds sensor construct; 138-floxed: n=105 cells from two mice, 138-spongeub: n=127 cells from three mice; p=0.02 (KS-test). (c) Upper panel: schematic representation of the Y-maze novelty preference task; lower panel: exploration time spent in familiar (F) and novel (N) arm; 138-floxed: n=12 mice; 138-spongeub: n=14 mice; ***p=0.005; n.s.=0.711 (Student’s two-tailed heteroscedastic t-test). (d) Upper panel: schematic representation of the novel object recognition task; lower panel: exploration time presented as percentage of total time spent with either novel or familiar object; 138-floxed: n=12 mice; 138-spongeub: n=12 mice; ****p<0.00002; n.s. p=0.11 (Student’s two-tailed heteroscedastic t-test). (e) Upper: schematic representation of the contextual fear conditioning task; lower: time (s) mice spent freezing 24 hr after the foot shock was administrated; 138-floxed: n=7 mice; 138-spongeub: n=7 mice; n.s. p=0.97 (Student’s two-tailed heteroscedastic t-test). (f) mEPSC recording in CA1 pyramidal neurons. Upper panel: example traces; scale bar: 20 pA, 500 ms. Lower panel left: mEPSC amplitude (138-floxed: range, from 14.3 to 25.6 pA; median, 17.2 pA; interquartile range [IQR], 3.9 pA. 138-spongeub: range, from 14.1 to 25.2 pA; median, 17.4 pA; IQR, 3.1 pA; n.s. p=0.74 Student’s two-tailed heteroscedastic t-test). Lower panel right: mEPSC frequency (138-floxed: range, from 0.2 to 0.9 Hz; median, 0.5 Hz; IQR, 0.2 Hz. 138-spongeub: range, from 0.3 to 0.7 Hz; median, 0.5 Hz; IQR, 0.1 Hz; n.s. p=0.91 Student’s two-tailed heteroscedastic t-test). 138-floxed: n=13 cells/4 mice; 138-spongeub: n=13 cells/3 mice. (g) Upper panel: representative images of Golgi-stained CA1 pyramidal neuron dendritic segments of the indicated genotypes. Lower panel: quantification of dendritic spine width (left) and density (number/μm; right) based on Golgi staining; 138-floxed: n=15 cells/3 mice (1312 spines total); 138-spongeub: n=18 cells/3 mice (1687 spines total) (n.s., p=0.25 (width); p=0.49 (density); Student’s two-tailed heteroscedastic t-test). mEPSC, miniature excitatory postsynaptic current.](/paper-figures/ac875bdab28b4d838a595db0f4e3995b/microrna-138-controls-hippocampal-interneuron-function-and-short-term-memory-in-figure-1.jpg)
![Figure 1—figure supplement 1. Validation, behavioural and electrophysiological characterization of ubiquitous miR-138 sponge mice. (a) Relative luciferase activity in hippocampal neurons (DIV 12–17) transfected with pGL3 CTR (control) or pGL3-138 pbds (sensor) constructs. pGL3-CTR=1. n=3 independent transfections. **p=0.0013 (One sample t-test). (b) Relative luciferase activity in hippocampal neurons (DIV 12–17) transfected as in (a), in addition with either control (100 ng) or increasing amounts of 138 sponge (25–100 ng). pGL3-CTR/pGL3-138 only =1. n=3 independent transfections, **p=0.005, *p=0.032, #p=0.045 (Student’s two-tailed heteroscedastic t-test). (c) Quantification of relative dendritic spine volume in rat hippocampal neurons (DIV10–18) transfected with GFP and increasing amounts (25–100 ng) of either control or 138 sponge. GFP only =1. n=3 independent transfections; each value represents at least 150 spines per cell, from six individual neurons per experiment. **p=0.006, *p=0.027, #p=0.004 (Student’s two-tailed heteroscedastic t-test). (d) Representative enzymatic b-Gal staining of hippocampal slices obtained from 138-floxed mice (P21) injected with either saline (left) or rAAV-CMV-CRE (right). (e) Schematic of the sensor principle. (f) Activity counts of mice from indicated genotypes monitored over 24 hr in their home cage; 138-floxed: n=7 mice, 138-spongeub: n=7 mice; data shown as mean ±s.d. (g) Percentage of spontaneous alternations in the Y-Maze. 138-floxed: n=14 mice; 138-spongeub: n=14 mice; p=0.43 (Student’s two-tailed heteroscedastic t-test). (h, i) Percentage of total distance travelled (h)/time spent (i) in the center of an open field arena during 30 min exploration by mice of the indicated genotypes; 138-floxed: n=14 mice; 138-spongeub: n=14 mice; (h) p=0.30, (i) p=0.054 (Student’s two-tailed heteroscedastic t-test). (j) Percentage of total time spent in the open arms of an elevated plus maze (EPM) during 5 min exploration by mice of the indicated genotypes; 138-floxed: n=14 mice; 138-spongeub: n=14 mice; p=0.50 (Mann-Whitney test). (k, l) Cumulative distribution mEPSC amplitude (p=0.65; Kolmogorov-Smirnov [KS] test) (k) and frequency (p=0.85; KS test) (l). (m) PPR of stimulated EPSCs in CA1 pyramidal neurons. Upper panel: example traces of PPR (inter stimulus interval of 50 ms) for 138-floxed (orange) and 138-spongeub (blue); scale bar: 100 pA, 20 ms. Lower panel: PPRs for different interstimulus intervals ranging from 25 ms to 100 ms (138-floxed vs. 138-spongeub [mean ±s.d.]: 25 ms, 1.6±0.1 vs. 1.5±0.2 [n=13]; 50 ms: 1.6±0.2 vs. 1.5±0.2 [n=13]; 75 ms: 1.4±0.1 vs. 1.3±0.1 [n=11]; 100 ms: 1.3±0.1 vs. 1.3±0.1 [n=11]. n.s. p=0.14, 0.09, 0.17, and 0.13 for 25, 50, 75, and 100 ms) inter stimulus intervals, respectively. Mann-Whitney test. PPR, paired-pulse ratio.](/paper-figures/b37ada2b70f64f05a08bcc5a93ba17f1/microrna-138-controls-hippocampal-interneuron-function-and-short-term-memory-in-figure-2.jpg)








![Figure 6. Enhanced inhibitory synaptic transmission onto hippcampal pyramidal neurons in PV-expressing interneuron specific miR-138 sponge mice. (a) mIPSC frequency in CA1 pyramidal neurons. Upper panel: example traces, 138-floxed in orange, 138-songePV in red, scale bar: 50 pA, 200 ms. Lower panel: mIPSC frequency (138-floxed: range, from 1.6 to 10.2 Hz; median, 4.1 Hz; IQR, 1.5 Hz. 138-spongePV: range, from 3.6 to 15.2 Hz; median, 6.2 Hz; IQR, 4.2 Hz; ***p=0.0002, Mann-Whitney test). 138-floxed n=22 cells/5 mice; 138-spongePV n=23 cells/5 mice. (b) PV+, VGAT+ bouton density. Left panel: representative pictures (arrows point the PV+; VGAT+ boutons). Middle panel: number of boutons per CA1 pyramidal neuron cell perimeter based on Hoechst counterstain. Right panel: VGAT puncta mean intensity; 138-floxed: n=73 cells/3 mice; 138-spongePV: n=95 cells/5 mice; data represents the average per mouse±s.d; n.s., p=0.65 (bouton density), n.s., p=0.59 (mean intensity) (Student’s two-tailed heteroscedastic t-test); (c) Paired pulse ratio (PPR) of stimulated IPSCs in CA1 pyramidal neurons. Upper panel: example traces of PPR (inter stimulus interval of 100 ms) for 138-floxed (orange) and 138-spongeub (red); scale bar: 100 pA, 50 ms. Lower panel: PPRs for different interstimulus intervals ranging from 50 to 150 ms (138-floxed vs. 138-spongePV [mean ±s.d.]: 50 ms, 0.7 ±0.2 vs. 0.7±0.1 [n=13]; 100 ms: 0.8±0.1 vs. 0.7±0.1 [n=13]; 150 ms: 0.7±0.1 [n=12] vs. 0.7±0.1. n.s. p=0.45, p=0.69, and p=0.89 for 50, 100, and 150 ms, respectively. Mann-Whitney test). (d) Unitary connections between presynaptic fast-spiking interneurons and postsynaptic CA1 pyramidal cells. Upper panel: example traces, 138-floxed: average of 50 sweeps in orange, 26 single sweeps in gray, 138-songePV: average of 50 sweeps in red, 26 single sweeps in gray; scale bar: 100 pA, 100 mV, 25 ms. Lower panel left: uIPSC amplitude (138-floxed: range, from 18.9 to 73.2 pA; median, 46.6 pA; IQR, 40.2 pA. 138-spongePV: range, from 19.3 to 123.8 pA; median, 64.5 pA; IQR, 64.4 pA; n.s. p=0.11 Student’s two-tailed heteroscedastic t-test). Lower panel right: Success rate (138-floxed: range, from 40% to 98%; median, 86%; IQR, 54%. 138-spongePV: range, from 38% to 100%; median, 98%; IQR, 12%; n.s. p=0.14 Mann-Whitney test). 138-floxed n=7 pairs/3 mice; 138-spongePV n=9 pairs/5 mice. (e) PPR of unitary connections. Upper panel: example traces, 138-floxed in orange, 138-songePV in red, uIPSCs are normalized to the first uIPSC, scale bar: 100 mV, 50 ms. Lower panel: PPR (2nd/1st uIPSC) (138-floxed: range, from 0.42 to 0.85; median, 0.56; IQR, 0.10. 138-spongePV: range, from 0.44 to 0.62; median, 0.49; IQR, 0.14; n.s. p=0.34 Student’s two-tailed heteroscedastic t-test). 138-floxed n=7 pairs/3 mice; 138-spongePV n=9 pairs/5 mice. (f) Coefficient of variation (138-floxed: range, from 0.38 to 0.52; median, 0.44; IQR, 0.07. 138-spongePV: range, from 0.23 to 0.47; median, 0.38; IQR, 0.15; *p=0.028, Student’s two-tailed heteroscedastic t-test). 138-floxed n=7 pairs/3 mice; 138-spongePV n=9 pairs/5 mice. IQR, interquartile range; mIPSC, miniature inhibitory postsynaptic current; uIPSC, unitary inhibitory postsynaptic current.](/paper-figures/22935acbf00146138557fc3bbad808ae/microrna-138-controls-hippocampal-interneuron-function-and-short-term-memory-in-figure-6.jpg)
![Figure 6—figure supplement 1. Electrophysiological characterization of hippocampal neurons in PV-expressing interneuron specific miR-138 sponge mice. (a–d) mIPSC in CA1 pyramidal neurons. (a) Cumulative distribution of mIPSCs frequency (p <0.0001; Kolmogorov-Smirnov [KS] test). (b) mIPSC amplitude (138-floxed: range, from 20.9 to 42.5 pA; median, 24.4 pA; IQR, 5.0 pA. 138-spongePV: range, from 18.0 to 41.6 pA; median, 25.7 pA; IQR, 4.0 pA; n.s. P = 0.22 Mann-Whitney test). (c) Cumulative distribution of mIPSCs amplitude (p<0.0001 KS test). 138-floxed n=22 cells/5 mice; 138-spongeub n=23 cells/5 mice. (d) mIPSC rise (10%–90%) and decay (90%–10%) time. Left panel: mIPSC rise (10%–90%) time (138-floxed: range, from 1.4 to 2.7 ms; median, 1.9 ms; IQR, 0.4 ms. 138-spongePV: range, from 1.3 to 2.5 ms; median, 2.0 ms; IQR, 0.4 ms; n.s. p=0.28 Mann-Whitney test). Right panel: mIPSC decay (90%–10%) time (138-floxed: range, from 9.9 to 13.6 ms; median, 11.1 ms; IQR, 0.9 ms. 138-spongePV: range, from 9.5 to 14.2 ms; median, 11.6 ms; IQR, 1.8 ms; n.s. p=0.20 Mann-Whitney test). 138-floxed n=22 cells/5 mice; 138-spongeub n=23 cells/5 mice. (e) Density of PV+ interneurons in CA1 hippocampus of mice with the indicated genotype. Values are expressed relative to a defined region of interest (ROI). 138-floxed: n=16 ROIs/4 mice; 138-spongePV: n=18 ROIs/5 mice; data represents the average per mouse±s.d.; n.s. p=0.8049 (Mann-Whitney test). (f) Properties of fast-spiking interneurons. Upper panel: example traces, 138-floxed in orange, 138-songePV in red, scale bar: 50 mV, 500 ms. Lower panel left: spiking frequency (138-floxed: range, from 123 to 159 Hz; median, 143 Hz; IQR, 29 Hz. 138-spongePV: range, from 96 to 170 Hz; median, 118 Hz; IQR, 46 Hz; n.s. p=0.31 Student’s two-tailed heteroscedastic t-test). Lower panel middle: input resistance (138-floxed: range, from 40 to 60 MΩ; median, 57 MΩ; IQR, 18 MΩ. 138-spongePV: range, from 30 to 71 MΩ; median, 33 MΩ; IQR, 26 MΩ; n.s. p=0.22 Mann-Whitney test). Lower panel right: resting membrane potential (138-floxed: range, from –68 to –62 mV; median, –64 mV; IQR, 4.5 mV. 138-spongePV: range, from –70 to –56 mV; median, –67 mV; IQR, 9 mV; n.s. p=0.78 Student’s two-tailed heteroscedastic t-test). 138-floxed n=5 cells/3 mice; 138-spongeub n=5 cells/5 mice. IQR, interquartile range; mIPSC, miniature inhibitory postsynaptic current.](/paper-figures/b3760e28037641e18248500d77c15cda/microrna-138-controls-hippocampal-interneuron-function-and-short-term-memory-in-figure-12.jpg)
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“Erbb4 is a direct miR‐138‐5p target (Daswani et al., 2022) that has been implicated in pre‐ and postsynaptic function.”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Daswani et al., 2022
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“On a behavioural level, loss of miR‐138‐5p impairs short‐term memory in mice, which is most probably the result of an increase in inhibitory transmission in area CA1 of the hippocampus (Daswani et al., 2022).”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Daswani et al., 2022
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“Erbb4 has a prominent role in inhibitory hippocampal interneurons, where miR‐138 sponge expression caused an increase in inhibitory miniature event frequency (Daswani et al., 2022).”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Daswani et al., 2022
In the citing paper
“On a behavioural level, loss of miR‐138‐5p impairs short‐term memory in mice, which is most probably the result of an increase in inhibitory transmission in area CA1 of the hippocampus (Daswani et al., 2022).”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Daswani et al., 2022
In the citing paper
“MicroRNA 138‐5p (miR‐138‐5p) controls inhibitory synaptic transmission in the hippocampus and is highly expressed in cerebellar excitatory neurons.”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Daswani et al., 2022
In the citing paper
“In inhibitory hippocampal interneurons, miR‐138‐5p may modulate synaptic transmission by inhibiting expression of the schizophrenia susceptibility gene Erbb4 (Erb‐B2 receptor tyrosine kinase 4) (Daswani et al., 2022).”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Daswani et al., 2022
In the citing paper
“The direct miR‐138‐5p target Erbb4 (Daswani et al., 2022) is linked to both presynaptic and postsynaptic compartments (Koopmans et al., 2019) and is expressed in precerebellar nuclei from where mossy fibres originate.”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Daswani et al., 2022
In the citing paper
“In the present study, inactivation of miR‐138‐5p increased mEPSC amplitudes in cerebellar GCs. This increase is probably mediated by increasing synaptic AMPAR numbers, which would be consistent with miR‐138‐5p targeting (and thus repressing) Erbb4, which in turn promotes GluA4 translation.”
From MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer (2025) · cites this paper as Daswani et al., 2022
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Cited by
Sorted by citations
Maza, R. M., Barreda-Manso, M. A., Reigada, D., Silván, Á., Muñoz-Galdeano, T., Soto, A., del Águila, Á., & Nieto-Díaz, M. (2022) · Biomedicines · doi:10.3390/biomedicines10071559 · Cited by 12
MicroRNA‐138‐5p suppresses excitatory synaptic strength at the cerebellar input layer
Delvendahl, I., Daswani, R., Winterer, J., Germain, P., Uhr, N. M., Schratt, G., & Müller, M. (2025) · The Journal of Physiology · doi:10.1113/jp288019 · Cited by 3
Self-citation
Metadata
- Authors
- Daswani, R., Gilardi, C., Soutschek, M., Nanda, P., Weiss, K., Bicker, S., Fiore, R., Dieterich, C., Germain, P.-L., Winterer, J., & Schratt, G.
- Affiliations
- Lab of Systems Neuroscience, Institute for Neuroscience, Department of Health Science and Technology, Swiss Federal Institute of Technology ETH
- Institute for Physiological Chemistry, Biochemical-Pharmacological Center Marburg, Philipps-University of Marburg
- Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III and Klaus Tschira Institute for Integrative Computational Cardiology, University of Heidelberg
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2022-03-15
- Volume
- 11
- ISSN
- 2050-084X
- PMC
- PMC8963876
- Cited by
- 38
- References
- 9
- Language
- en
- Licence
- Funders
- Deutsche Forschungsgemeinschaft (SCHR 1136/4-2)
- Eidgenössische Technische Hochschule Zürich (24 18-2 (NeuroSno))
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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