Probes for INS

Encoding sounds with a high degree of temporal precision is an essential task for the inferior colliculus (IC) to perform and maintain the accurate processing of sounds and speech. However, the age-related reduction of GABAergic neurotransmission in the IC interrupts temporal precision and likely contributes to presbycusis. As presbycusis often manifests at high or low frequencies specifically, we sought to determine if the expression of mRNA for glutamic decarboxylase 1 (GAD1) is downregulated non-uniformly across the tonotopic axis or cell size range in the aging IC. Using single molecule in situ fluorescent hybridization across young, middle age and old Fisher Brown Norway rats (an aging model that acquires low frequency presbycusis) we quantified individual GAD1 mRNA in small, medium and large GABAergic cells. Our results demonstrate that small GABAergic cells in low frequency regions had ∼58% less GAD1 in middle age and continued to decline into old age. In contrast, the amount of GAD1 mRNA in large cells in low frequency regions significantly increased with age. As several studies have shown that downregulation of GAD1 decreases the release of GABA, we interpret our results in two ways. First, the onset of presbycusis may be driven by small GABAergic cells downregulating GAD1. Second, as previous studies demonstrate that GAD67 expression is broadly downregulated in the old IC, perhaps the translation of GAD1 to GAD67 is interrupted in large GABAergic IC cells during aging. These results point to a potential genetic mechanism explaining reduced temporal precision in the aging IC, and in turn, presbycusis.

Non-coding RNAs (ncRNAs) play a critical role in the entire body, and their mis-regulation is often associated with disease. In parallel with the advances in high-throughput sequencing technologies, there is a great deal of focus on this broad class of RNAs. Although these molecules are not translated into proteins, they are now well established as significant regulatory components in many biological pathways and pathological conditions. ncRNAs can be roughly divided into two main sub-groups based on the length of the transcript, with both the small and long non-coding RNAs having diverse regulatory functions. The smaller length group includes ribosomal RNAs (rRNA), transfer RNAs (tRNA), small nuclear RNAs (snRNA), small nucleolar RNAs (snoRNA), microRNAs (miRNA), small interfering RNAs (siRNA), and PIWI-associated RNAs (piRNA). The longer length group includes linear long non-coding RNAs (lncRNA) and circular RNAs (circRNA). This review is designed to present the different classes of small and long ncRNA molecules and describe some of their known roles in physiological and pathological conditions, as well as methods used to assess the validity and function of miRNAs and lncRNAs, with a focus on their role and functions in the inner ear, hearing and deafness.

Hearing depends on precise synaptic transmission between cochlear inner hair cells and spiral ganglion neurons through afferent ribbon synapses. Neuroligins (Nlgns) facilitate synapse maturation in the brain, but they have gone unstudied in the cochlea. We report Nlgn3 and Nlgn1 knockout (KO) cochleae have fewer ribbon synapses and have impaired hearing. Nlgn3 KO is more vulnerable to noise trauma with limited activity at high frequencies one day after noise. Furthermore, Nlgn3 KO cochleae have a 5-fold reduction in synapse number compared to wild type after two weeks of recovery. Double KO cochlear phenotypes are more prominent than the KOs, for example, 5-fold smaller synapses, 25% reduction in synapse density, and 30% less synaptic output. These observations indicate Nlgn3 and Nlgn1 are essential to cochlear ribbon synapse maturation and function.

Functional molecular characterization of the cochlea has mainly been driven by the deciphering of the genetic architecture of sensorineural deafness. As a result, the search for curative treatments, which are sorely lacking in the hearing field, has become a potentially achievable objective, particularly via cochlear gene and cell therapies. To this end, a complete inventory of cochlear cell types, with an in-depth characterization of their gene expression profiles right up to their final differentiation, is indispensable. We therefore generated a single-cell transcriptomic atlas of the mouse cochlea based on an analysis of more than 120,000 cells on postnatal day 8 (P8), during the prehearing period, P12, corresponding to hearing onset, and P20, when cochlear maturation is almost complete. By combining whole-cell and nuclear transcript analyses with extensive in situ RNA hybridization assays, we characterized the transcriptomic signatures covering nearly all cochlear cell types and developed cell type-specific markers. Three cell types were discovered; two of them contribute to the modiolus which houses the primary auditory neurons and blood vessels, and the third one consists in cells lining the scala vestibuli. The results also shed light on the molecular basis of the tonotopic gradient of the biophysical characteristics of the basilar membrane that critically underlies cochlear passive sound frequency analysis. Finally, overlooked expression of deafness genes in several cochlear cell types was also unveiled. This atlas paves the way for the deciphering of the gene regulatory networks controlling cochlear cell differentiation and maturation, essential for the development of effective targeted treatments.

The afferent innervation of the cochlea is comprised of spiral ganglion neurons (SGNs), which are characterized into four subtypes (Type 1A, B, and C and Type 2). However, little is known about the factors and/or processes that determine each subtype. Here, we present a transcriptional analysis of approximately 5,500 single murine SGNs collected across four developmental time points. All four subtypes are transcriptionally identifiable prior to the onset of coordinated spontaneous activity, indicating that the initial specification process is under genetic control. Trajectory analysis indicates that SGNs initially split into two precursor types (Type 1A/2 and Type 1B/C), followed by subsequent splits to give rise to four transcriptionally distinct subtypes. Differential gene expression, pseudotime, and regulon analyses were used to identify candidate transcription factors which may regulate the subtypes specification process. These results provide insights into SGN development and comprise a transcriptional atlas of SGN maturation across the prenatal period.