Mechanisms in cochlear hair cell mechano-electrical transduction for acquisition of sound frequency and intensity

Liu, Shuang; Wang, Shufeng; Zou, Linzhi; Xiong, Wei

doi:10.1007/s00018-021-03840-8

Cited by 9 publications

(1 citation statement)

References 132 publications

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“…Along the cochlear channel, different frequencies of the acoustic wave are detected at different positions by the hair cells, which are specialized biological strain detectors 29 . The stimulation of hair cells causes the mechanical opening of ion channels, thus enabling the flow of a small ionic current converting mechanical stimulation into an electrical signal 30 , 31 , which eventually propagates to the brain through auditory nerves. High frequencies (up to 20 kHz) are detected in the initial part of the cochlea, while low frequencies (around 20 Hz) are detected in the deepest region of the cochlea i.e., the center of the spiral.…”

Section: Resultsmentioning

confidence: 99%

Memristive tonotopic mapping with volatile resistive switching memory devices

Milozzi,

Ricci,

Ielmini

2024

Nat Commun

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To reach the energy efficiency and the computing capability of biological neural networks, novel hardware systems and paradigms are required where the information needs to be processed in both spatial and temporal domains. Resistive switching memory (RRAM) devices appear as key enablers for the implementation of large-scale neuromorphic computing systems with high energy efficiency and extended scalability. Demonstrating a full set of spatiotemporal primitives with RRAM-based circuits remains an open challenge. By taking inspiration from the neurobiological processes in the human auditory systems, we develop neuromorphic circuits for memristive tonotopic mapping via volatile RRAM devices. Based on a generalized stochastic device-level approach, we demonstrate the main features of signal processing of cochlea, namely logarithmic integration and tonotopic mapping of signals. We also show that our tonotopic classification is suitable for speech recognition. These results support memristive devices for physical processing of temporal signals, thus paving the way for energy efficient, high density neuromorphic systems.

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Section: Resultsmentioning

confidence: 99%

Memristive tonotopic mapping with volatile resistive switching memory devices

Milozzi,

Ricci,

Ielmini

2024

Nat Commun

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Isolation and Comprehensive Analysis of Cochlear Tissue‐Derived Small Extracellular Vesicles

Jiang,

Ma,

Wang

et al. 2024

Advanced Science

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Small extracellular vesicles (sEVs) act as a critical mediator in intercellular communication. Compared to sEVs derived from in vitro sources, tissue‐derived sEVs can reflect the in vivo signals released from specific tissues more accurately. Currently, studies on the role of sEVs in the cochlea have relied on studying sEVs from in vitro sources. This study evaluates three cochlear tissue digestion and cochlear tissue‐derived sEV (CDsEV) isolation methods, and first proposes that the optimal approach for isolating CDsEVs using collagenase D and DNase І combined with sucrose density gradient centrifugation. Furthermore, it comprehensively investigates CDsEV contents and cell origins. Small RNA sequencing and proteomics are performed to analyze the miRNAs and proteins of CDsEVs. The miRNAs and proteins of CDsEVs are crucial for maintaining normal auditory function. Among them, FGFR1 in CDsEVs may mediate the survival of cochlear hair cells via sEVs. Finally, the joint analysis of single CDsEV sequencing and single‐cell RNA sequencing data is utilized to trace cellular origins of CDsEVs. The results show that different types of cochlear cells secrete different amounts of CDsEVs, with Kölliker's organ cells and supporting cells secrete the most. The findings are expected to enhance the understanding of CDsEVs in the cochlea.

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Prevalence and clinical features of autosomal dominant and recessive TMC1-associated hearing loss

Nishio

Usami

2021

Hum Genet

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TMC1 is a causative gene for both autosomal dominant non-syndromic hearing loss (DFNA36) and autosomal recessive non-syndromic hearing loss (DFNB7/11). To date, 125 pathogenic variants in TMC1 have been reported. Most of the TMC1 variants are responsible for autosomal recessive hearing loss, with only 8 variants reported as causative for DFNA36. Here, we reported the prevalence of TMC1-associated hearing loss in a large non-syndromic hearing loss cohort of about 12,000 subjects. As a result, we identified 26 probands with TMC1-associated hearing loss, with the estimated prevalence of TMC1-associated hearing loss in the Japanese hearing loss cohort being 0.17% among all patients. Among the 26 probands with TMC1-associated hearing loss, 15 cases were identified from autosomal dominant hearing loss families. Based on the audiometric data from the probands, family members and previously reported cases, we evaluated hearing deterioration for DFNA36 patients. In addition, we performed haplotype analysis for 11 unrelated autosomal dominant hearing loss families carrying the same variant TMC1: NM_138691:c.1627G > A:p.Asp543Asn. The results clearly indicated that the same haplotype was present despite the families being unrelated, supporting the contention that this variant occurred by founder mutation.

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Mechanisms in cochlear hair cell mechano-electrical transduction for acquisition of sound frequency and intensity

Cited by 9 publications

References 132 publications

Memristive tonotopic mapping with volatile resistive switching memory devices

Memristive tonotopic mapping with volatile resistive switching memory devices

Isolation and Comprehensive Analysis of Cochlear Tissue‐Derived Small Extracellular Vesicles

Prevalence and clinical features of autosomal dominant and recessive TMC1-associated hearing loss

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