Application of a Label-free, Gel-free Quantitative Proteomics Method for Ecotoxicological Studies of Small Fish Species

被引:24
作者
Ralston-Hooper, K. J. [1 ,3 ]
Turner, M. E. [4 ]
Soderblom, E. J. [4 ]
Villeneuve, D. [5 ]
Ankley, G. T. [5 ]
Moseley, M. A. [4 ]
Hoke, R. A. [3 ]
Ferguson, P. L. [1 ,2 ]
机构
[1] Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA
[2] Duke Univ, Dept Civil & Environm Engn, Durham, NC 27708 USA
[3] Dupont Haskell Global Ctr, Newark, DC USA
[4] Duke Univ, Sch Med, Prote Core Facil, Durham, NC 27708 USA
[5] US EPA, Natl Hlth & Environm Effects Res Lab, Midcontinent Ecol Div, Duluth, MN USA
关键词
AROMATASE INHIBITOR FADROZOLE; PROLIFERATOR-ACTIVATED RECEPTORS; ALTERED GENE-EXPRESSION; ZEBRAFISH DANIO-RERIO; SEX STEROID-SECRETION; MASS-SPECTROMETRY; QUANTIFICATION; PROTEINS; STEROIDOGENESIS; MASCULINIZATION;
D O I
10.1021/es303170u
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although two-dimensional electrophoresis (2D-GE) remains the basis for many ecotoxicoproteomic analyses, newer non-gel-based methods are beginning to be applied to overcome throughput and coverage limitations of 2D-GE. The overall objective of our research was to apply a comprehensive, liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based proteomic approach to identify and quantify differentially expressed hepatic proteins from female fathead minnows exposed to fadrozole, a potent inhibitor of estrogen synthesis. Female fathead minnows were exposed to 0 (control), 0.04, and 1.0 mu g of fadrozole/L of water for 4 days, and proteomic analysis was performed. Proteins were extracted and digested, and proteolytic peptides were separated via high-resolution one- or two-dimensional (I-D or 2-D) ultrapressure liquid chromatography (UPLC) and analyzed by tandem mass spectrometry. Mass spectra were searched against the National Center for Biotechnology Information (NCBI) ray-finned fish (Actinopterygii) database, resulting in identification of 782 unique proteins by single-dimension UPLC. When multidimensional LC analysis (2-D) was performed, an average increase of 1.9x in the number of identified proteins was observed. Differentially expressed proteins in fadrozole exposures were consistent with changes in liver function, including a decline in concentrations of vitellogenin as well as other proteins associated with endocrine function and cholesterol synthesis. Overall, these results demonstrate that a gel-free, label-free proteomic analysis method can successfully be utilized to determine differentially expressed proteins in small fish species after toxicant exposure.
引用
收藏
页码:1091 / 1100
页数:10
相关论文
共 50 条
  • [21] Protein profile of commercial soybean milks analyzed by label-free quantitative proteomics
    Battisti, Ilaria
    Ebinezer, Leonard Barnabas
    Lomolino, Giovanna
    Masi, Antonio
    Arrigoni, Giorgio
    FOOD CHEMISTRY, 2021, 352
  • [22] Label-Free Quantitative Proteomics Reveals Differentially Regulated Proteins in Experimental Gingivitis
    Bostanci, Nagihan
    Ramberg, Per
    Wahlander, Asa
    Grossman, Jonas
    Joensson, Daniel
    Barnes, Virginia Monsul
    Papapanou, Panos N.
    JOURNAL OF PROTEOME RESEARCH, 2013, 12 (02) : 657 - 678
  • [23] Label-Free Quantitative Proteomics Analysis of Cotton Leaf Response to Nitric Oxide
    Meng, Yanyan
    Liu, Feng
    Pang, Chaoyou
    Fan, Shuli
    Song, Meizhen
    Wang, Dan
    Li, Weihua
    Yu, Shuxun
    JOURNAL OF PROTEOME RESEARCH, 2011, 10 (12) : 5416 - 5432
  • [24] Clinical biomarker discovery by SWATH-MS based label-free quantitative proteomics: impact of criteria for identification of differentiators and data normalization method
    Narasimhan, Mythreyi
    Kannan, Sadhana
    Chawade, Aakash
    Bhattacharjee, Atanu
    Govekar, Rukmini
    JOURNAL OF TRANSLATIONAL MEDICINE, 2019, 17 (1)
  • [25] Workflow Comparison for Label-Free, Quantitative Secretome Proteomics for Cancer Biomarker Discovery: Method Evaluation, Differential Analysis, and Verification in Serum
    Piersma, Sander R.
    Fiedler, Ulrike
    Span, Simone
    Lingnau, Andreas
    Pham, Thang V.
    Hoffmann, Steffen
    Kubbutat, Michael H. G.
    Jimenez, Connie R.
    JOURNAL OF PROTEOME RESEARCH, 2010, 9 (04) : 1913 - 1922
  • [26] Label-Free Quantitative Proteomics Identifies Novel Plasma Biomarkers for Distinguishing Pulmonary Tuberculosis and Latent Infection
    Sun, Huishan
    Pan, Liping
    Jia, Hongyan
    Zhang, Zhiguo
    Gao, Mengqiu
    Huang, Mailing
    Wang, Jinghui
    Sun, Qi
    Wei, Rongrong
    Du, Boping
    Xing, Aiying
    Zhang, Zongde
    FRONTIERS IN MICROBIOLOGY, 2018, 9
  • [27] Label-free Quantitative Proteomics Analysis of Etiolated Maize Seedling Leaves during Greening
    Shen, Zhuo
    Li, Ping
    Ni, Rui-Juan
    Ritchie, Mark
    Yang, Chuan-Ping
    Liu, Gui-Feng
    Ma, Wei
    Liu, Guan-Jun
    Ma, Ling
    Li, Shu-Juan
    Wei, Zhi-Gang
    Wang, Hong-Xia
    Wang, Bai-Chen
    MOLECULAR & CELLULAR PROTEOMICS, 2009, 8 (11) : 2443 - 2460
  • [28] Label-Free and Standard-Free Absolute Quantitative Proteomics Using the "Total Protein" and "Proteomic Ruler" Approaches
    Wisniewski, J. R.
    PROTEOMICS IN BIOLOGY, PT A, 2017, 585 : 49 - 60
  • [29] Discovery and validation of peptide biomarkers for discrimination of Dendrobium species by label-free proteomics and chemometrics
    Fang, Can
    Xin, Gui-Zhong
    Wang, Shu-Ling
    Wei, Meng-Meng
    Wu, Pu
    Dong, Xue-Man
    Song, Gao-Qian
    Xie, Tian
    Zhou, Jian-Liang
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2020, 182
  • [30] The Proteome of Human Liver Peroxisomes: Identification of Five New Peroxisomal Constituents by a Label-Free Quantitative Proteomics Survey
    Gronemeyer, Thomas
    Wiese, Sebastian
    Ofman, Rob
    Bunse, Christian
    Pawlas, Magdalena
    Hayen, Heiko
    Eisenacher, Martin
    Stephan, Christian
    Meyer, Helmut E.
    Waterham, Hans R.
    Erdmann, Ralf
    Wanders, Ronald J.
    Warscheid, Bettina
    PLOS ONE, 2013, 8 (02):