The growing interest in the application of proteomic technologies to solve toxicology issues and its relevance in ecotoxicology research has resulted in the emergence of "ecotox-icoproteomics". There is a general consensus that ecotoxicoproteomics is a powerful tool to spot early molecular events involved in toxicant responses, which are responsible for the adverse effects observed at higher levels of biological organization, thus contributing to elucidate the mode of action of stressors and to identify specific biomarkers. Ultimately, early-warning indicators can then be developed and deployed in "in situ" bioassays and in environmental risk assessment. The number of field experiments or laboratory trials using ecologically relevant test-species and involving proteomics has been, until recently, insufficient to allow a critical analysis of the real benefits of the application of this approach to ecotoxicology. This article intends to present an overview on the applications of proteomics in the context of ecotoxicology, focusing mainly on the prospective research to be done in invertebrates. Although these represent around 95% of all animal species and in spite of the key structural and functional roles they play in ecosystems, proteomic research in invertebrates is still in an incipient stage. We will review applications of ecotoxicoproteomics by evaluating the technical methods employed, the organisms and the contexts studied, the advances achieved until now and lastly the limitations yet to overcome will be discussed.
机构:
Univ Belgrade, Inst Social Sci, Belgrade, Serbia
Univ Belgrade, Ctr Study Bioeth, Belgrade, Serbia
Serbian Cambridge Working Grp Bioeth Educ, Belgrade, Serbia
UNESCO Chair Bioeth, European Div, Belgrade, SerbiaUniv Belgrade, Inst Social Sci, Belgrade, Serbia
机构:
Stanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Stanford Univ, Dept Radiol, Stanford, CA 94305 USAStanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Paschali, Magdalini
Chen, Zhihong
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Stanford Univ, Dept Radiol, Stanford, CA 94305 USAStanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Chen, Zhihong
论文数: 引用数:
h-index:
机构:
Blankemeier, Louis
Varma, Maya
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Stanford Univ, Dept Comp Sci, Stanford, CA USAStanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Varma, Maya
Youssef, Alaa
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Stanford Univ, Dept Radiol, Stanford, CA 94305 USAStanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Youssef, Alaa
Bluethgen, Christian
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Univ Zurich, Univ Hosp Zurich, Dept Diagnost & Intervent Radiol, Zurich, SwitzerlandStanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Bluethgen, Christian
Langlotz, Curtis
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Stanford Univ, Dept Radiol, Stanford, CA 94305 USA
STANFORD UNIV, DEPT MED, STANFORD, CA USA
Stanford Univ, Dept Biomed Data Sci, Stanford, CA USAStanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Langlotz, Curtis
Gatidis, Sergios
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA
Stanford Univ, Dept Radiol, Stanford, CA 94305 USAStanford Ctr Artificial Intelligence Med & Imaging, 1701 Page Mill Rd, Palo Alto, CA 94304 USA