Proteome Analysis of Human Perilymph Using an lntraoperative Sampling Method

被引:51
|
作者
Schmitt, Heike A. [1 ,3 ]
Pich, Andreas [2 ]
Schroeder, Anke [2 ]
Scheper, Verena [1 ,3 ]
Lilli, Giorgio [1 ,3 ]
Reuter, Guenter [1 ,3 ]
Lenarz, Thomas [1 ,3 ]
机构
[1] Hannover Med Sch, Dept Otolaryngol, Carl Neuberg Str 1, D-30625 Hannover, Germany
[2] Hannover Med Sch, Core Facil Prote, Carl Neuberg Str 1, D-30625 Hannover, Germany
[3] Hannover Med Sch, German Res Fdn DFG Deutsch Forsch Gemeinschaft He, Cluster Excellence, Carl Neuberg Str 1, D-30625 Hannover, Germany
关键词
perilymph; inner ear; diagnostic proteomics; data-dependent acquisition; INNER-EAR PROTEOMICS; HEARING-LOSS; GLUCOSYLATING TOXINS; CEREBROSPINAL-FLUID; MASS-SPECTROMETRY; MOUSE MODELS; IDENTIFICATION; MUTATIONS; COL11A2; QUANTIFICATION;
D O I
10.1021/acs.jproteome.6b00986
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The knowledge about the etiology and pathophysiology of sensorineural hearing loss (SNHL) is still very limited. This study aims at the improvement of understanding different types of SNHL by proteome analysis of human perilymph. Sampling of perilymph was established during inner ear surgeries (cochlear implantation, vestibular schwannoma surgeries), and safety of the sampling method was determined by checking hearing threshold with pure -tone audiometry postoperatively. An in-depth shot-gun proteomics approach was performed to identify cochlear proteins and the individual proteome in perilymph of patients. This method enables the identification and quantification of protein composition of perilymph. The proteome of 41 collected perilymph samples with volumes of 1-12 mu L was analyzed by data-dependent acquisition, resulting in overall 878 detected protein groups. At least 203 protein groups were solely identified in perilymph, not in reference samples (serum, cerebrospinal fluid), displaying a specific protein pattern for perilymph. Samples were grouped by patient's age and surgery type, leading to the identification of some proteins specific to particular subgroups. Proteins with different abundances between different sample groups were subjected to classification by gene ontology annotations. The identified proteins might serve as biomarkers to develop tools for noninvasive inner ear diagnostics and to elucidate molecular profiles of SNHL.
引用
收藏
页码:1911 / 1923
页数:13
相关论文
共 50 条
  • [31] Comparison of data analysis parameters and MS/MS fragmentation techniques for quantitative proteome analysis using isobaric peptide termini labeling (IPTL)
    Koehler, Christian J.
    Arntzen, Magnus O.
    Treumann, Achim
    Thiede, Bernd
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2012, 404 (04) : 1103 - 1114
  • [32] Quantitative Proteome Analysis of Multidrug Resistance in Human Ovarian Cancer Cell Line
    Li, Sang-Lin
    Ye, Feng
    Cai, Wei-Jun
    Hu, Huai-Dong
    Hu, Peng
    Ren, Hong
    Zhu, Fu-Fan
    Zhang, Da-Zhi
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2010, 109 (04) : 625 - 633
  • [33] Study of the development of thermoresistance in human pancreatic carcinoma cell lines using proteome analysis
    Poland, J
    Urbani, A
    Lage, H
    Schnölzer, M
    Sinha, P
    ELECTROPHORESIS, 2004, 25 (01) : 173 - 183
  • [34] Proteome analysis using machine learning approaches and its applications to diseases
    Sengupta, Abhishek
    Naresh, G.
    Mishra, Astha
    Parashar, Diksha
    Narad, Priyanka
    PROTEOMICS AND SYSTEMS BIOLOGY, 2021, 127 : 161 - 216
  • [35] Quantitative proteome analysis of ovarian cancer tissues using a iTRAQ approach
    Wang, Li-Na
    Tong, Shi-Wen
    Hu, Huai-Dong
    Ye, Feng
    Li, Sang-Lin
    Ren, Hong
    Zhang, Da-Zhi
    Xiang, Rong
    Yang, Yi-Xuan
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2012, 113 (12) : 3762 - 3772
  • [36] Proteome analysis of human embryonic stem cells organelles
    Shekari, Faezeh
    Nezari, Hossein
    Larijani, Mehran Rezaei
    Han, Chia-Li
    Baharvand, Hossein
    Chen, Yu-Ju
    Salekdeh, Ghasem Hosseini
    JOURNAL OF PROTEOMICS, 2017, 162 : 108 - 118
  • [37] ProMetheusDB: An In-Depth Analysis of the High-Quality Human Methyl-proteome
    Massignani, Enrico
    Giambruno, Roberto
    Maniaci, Marianna
    Nicosia, Luciano
    Yadav, Avinash
    Cuomo, Alessandro
    Raimondi, Francesco
    Bonaldi, Tiziana
    MOLECULAR & CELLULAR PROTEOMICS, 2022, 21 (07)
  • [38] Human myelin proteome and comparative analysis with mouse myelin
    Ishii, Akihiro
    Dutta, Ranjan
    Wark, Greg M.
    Hwang, Sun-Il
    Han, David K.
    Trapp, Bruce D.
    Pfeiffer, Steven E.
    Bansal, Rashmi
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (34) : 14605 - 14610
  • [39] Proteome analysis of the common human pathogen Helicobacter pylori
    Bumann, D
    Meyer, TF
    Jungblut, PR
    PROTEOMICS, 2001, 1 (04) : 473 - 479
  • [40] Quantitative analysis of the mitochondrial proteome in human ovarian carcinomas
    Li, Na
    Li, Huanni
    Cao, Lanqin
    Zhan, Xianquan
    ENDOCRINE-RELATED CANCER, 2018, 25 (10) : 909 - 931