Literature DB >> 25814645

Gene expression profiles of the cochlea and vestibular endorgans: localization and function of genes causing deafness.

Shin-Ya Nishio1, Mitsuru Hattori2, Hideaki Moteki2, Keita Tsukada2, Maiko Miyagawa1, Takehiko Naito2, Hidekane Yoshimura2, Yoh-Ichiro Iwasa2, Kentaro Mori2, Yutaka Shima2, Naoko Sakuma3, Shin-Ichi Usami4.   

Abstract

OBJECTIVES: We sought to elucidate the gene expression profiles of the causative genes as well as the localization of the encoded proteins involved in hereditary hearing loss.
METHODS: Relevant articles (as of September 2014) were searched in PubMed databases, and the gene symbols of the genes reported to be associated with deafness were located on the Hereditary Hearing Loss Homepage using localization, expression, and distribution as keywords.
RESULTS: Our review of the literature allowed us to systematize the gene expression profiles for genetic deafness in the inner ear, clarifying the unique functions and specific expression patterns of these genes in the cochlea and vestibular endorgans.
CONCLUSIONS: The coordinated actions of various encoded molecules are essential for the normal development and maintenance of auditory and vestibular function.
© The Author(s) 2015.

Entities:  

Keywords:  deafness; gene expression; immunocytochemistry; in situ hybridization; localization

Mesh:

Year:  2015        PMID: 25814645     DOI: 10.1177/0003489415575549

Source DB:  PubMed          Journal:  Ann Otol Rhinol Laryngol        ISSN: 0003-4894            Impact factor:   1.547


  12 in total

1.  Genetic variants in the peripheral auditory system significantly affect adult cochlear implant performance.

Authors:  A Eliot Shearer; Robert W Eppsteiner; Kathy Frees; Viral Tejani; Christina M Sloan-Heggen; Carolyn Brown; Paul Abbas; Camille Dunn; Marlan R Hansen; Bruce J Gantz; Richard J H Smith
Journal:  Hear Res       Date:  2017-02-15       Impact factor: 3.208

2.  Spatial and temporal inhibition of FGFR2b ligands reveals continuous requirements and novel targets in mouse inner ear morphogenesis.

Authors:  Lisa D Urness; Xiaofen Wang; Huy Doan; Nathan Shumway; C Albert Noyes; Edgar Gutierrez-Magana; Ree Lu; Suzanne L Mansour
Journal:  Development       Date:  2018-12-18       Impact factor: 6.868

3.  Bioinformatic Analysis of the Perilymph Proteome to Generate a Human Protein Atlas.

Authors:  Alina van Dieken; Hinrich Staecker; Heike Schmitt; Jennifer Harre; Andreas Pich; Willi Roßberg; Thomas Lenarz; Martin Durisin; Athanasia Warnecke
Journal:  Front Cell Dev Biol       Date:  2022-04-28

4.  A Comprehensive Study on the Etiology of Patients Receiving Cochlear Implantation With Special Emphasis on Genetic Epidemiology.

Authors:  Maiko Miyagawa; Shin-Ya Nishio; Shin-ichi Usami
Journal:  Otol Neurotol       Date:  2016-02       Impact factor: 2.311

5.  Sensorineural hearing loss and mild cardiac phenotype caused by an EYA4 mutation.

Authors:  Satoko Abe; Hidehiko Takeda; Shin-Ya Nishio; Shin-Ichi Usami
Journal:  Hum Genome Var       Date:  2018-08-22

6.  Expression of Protein-Coding Gene Orthologs in Zebrafish and Mouse Inner Ear Non-sensory Supporting Cells.

Authors:  Kimberlee P Giffen; Huizhan Liu; Kenneth L Kramer; David Z He
Journal:  Front Neurosci       Date:  2019-10-18       Impact factor: 4.677

7.  Cochlear Implantation From the Perspective of Genetic Background.

Authors:  Shin-Ichi Usami; Shin-Ya Nishio; Hideaki Moteki; Maiko Miyagawa; Hidekane Yoshimura
Journal:  Anat Rec (Hoboken)       Date:  2020-02-06       Impact factor: 2.064

8.  Cochlear implantation in a patient with a POU4F3 mutation.

Authors:  Keitaro Miyake; Kyoko Shirai; Nobuhiro Nishiyama; Sachie Kawaguchi; Yoko Ohta; Atsushi Kawano; Shin-Ichi Usami; Tomohiro Kitano; Kiyoaki Tsukahara
Journal:  Clin Case Rep       Date:  2020-11-11

Review 9.  Building inner ears: recent advances and future challenges for in vitro organoid systems.

Authors:  Wouter H van der Valk; Matthew R Steinhart; Jingyuan Zhang; Karl R Koehler
Journal:  Cell Death Differ       Date:  2020-12-14       Impact factor: 15.828

10.  RefEx, a reference gene expression dataset as a web tool for the functional analysis of genes.

Authors:  Hiromasa Ono; Osamu Ogasawara; Kosaku Okubo; Hidemasa Bono
Journal:  Sci Data       Date:  2017-08-29       Impact factor: 6.444

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