FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017184010> ?p ?o ?g. }

• W2017184010 endingPage "6900" @default.
• W2017184010 startingPage "6891" @default.
• W2017184010 abstract "Thousands of man-made chemicals are constantly released into the environment by agricultural and industrial production processes, traffic, and countless other human activities. Hence, very complex mixtures of anthropogenic chemicals and the transformation products of non-persistent compounds can be found in the aquatic environment. They reflect regional input but are also influenced by long-range transport. Thus, predicting effects on organisms and assessing the quality of a specific ecosystem based on chemical analysis is a challenge. This is not only because of the wide variety of chemicals, with far ranging physicochemical properties, but also because of the sometimes very low effect levels and concerted effects caused by concentration additivity or even synergism. The situation is further complicated by the temporal variability of the exposure concentrations caused, for example, by rain events or regular daily fluctuations as seen in wastewater treatment plant effluents. The analysis of an organism's proteome allows the detection of subtle changes in the level of individual proteins in response to environmental stressors. This potentially leads to the discovery of biomarkers of exposure and helps to gain insights into underlying mechanisms of toxicity. Today, studies using environmental proteomics have investigated many organisms, ranging from microorganisms and plants to invertebrates and vertebrates. Nevertheless, proteomics is a field of environmental research still in its infancy, due to a number of caveats, such as the limited number of organisms fully covered in the sequence databases, the high genetic variability, and the dependence on environmental factors. However, it is gradually becoming an established technology. This review article highlights recent advances in the field of proteomics, mainly focusing on experimental techniques that have the potential to help us understand toxic modes of action and identify novel ecotoxicological biomarkers." @default.
• W2017184010 created "2016-06-24" @default.
• W2017184010 creator A5067249718 @default.
• W2017184010 creator A5086902653 @default.
• W2017184010 date "2007-09-14" @default.
• W2017184010 modified "2023-10-14" @default.
• W2017184010 title "Proteomics for the Analysis of Environmental Stress Responses in Organisms" @default.
• W2017184010 cites W1526536789 @default.
• W2017184010 cites W1530371703 @default.
• W2017184010 cites W1533744928 @default.
• W2017184010 cites W1597678601 @default.
• W2017184010 cites W1963841973 @default.
• W2017184010 cites W1965297603 @default.
• W2017184010 cites W1966686525 @default.
• W2017184010 cites W1966809971 @default.
• W2017184010 cites W1972791227 @default.
• W2017184010 cites W1977371368 @default.
• W2017184010 cites W1978134667 @default.
• W2017184010 cites W1978254752 @default.
• W2017184010 cites W1983180505 @default.
• W2017184010 cites W1985822851 @default.
• W2017184010 cites W1989039684 @default.
• W2017184010 cites W1993249736 @default.
• W2017184010 cites W1995659548 @default.
• W2017184010 cites W1997550706 @default.
• W2017184010 cites W1998756082 @default.
• W2017184010 cites W1999487949 @default.
• W2017184010 cites W2003867818 @default.
• W2017184010 cites W2006933206 @default.
• W2017184010 cites W2010171466 @default.
• W2017184010 cites W2015556811 @default.
• W2017184010 cites W2015732856 @default.
• W2017184010 cites W2020457075 @default.
• W2017184010 cites W2024923641 @default.
• W2017184010 cites W2025075986 @default.
• W2017184010 cites W2027270052 @default.
• W2017184010 cites W2028466978 @default.
• W2017184010 cites W2028615859 @default.
• W2017184010 cites W2030694040 @default.
• W2017184010 cites W2032156246 @default.
• W2017184010 cites W2032625049 @default.
• W2017184010 cites W2034110570 @default.
• W2017184010 cites W2036641811 @default.
• W2017184010 cites W2038309941 @default.
• W2017184010 cites W2039948985 @default.
• W2017184010 cites W2040937930 @default.
• W2017184010 cites W2042657562 @default.
• W2017184010 cites W2043246936 @default.
• W2017184010 cites W2045128272 @default.
• W2017184010 cites W2046300791 @default.
• W2017184010 cites W2047414293 @default.
• W2017184010 cites W2049091179 @default.
• W2017184010 cites W2050880521 @default.
• W2017184010 cites W2052032281 @default.
• W2017184010 cites W2054395884 @default.
• W2017184010 cites W2055063265 @default.
• W2017184010 cites W2055421954 @default.
• W2017184010 cites W2055512409 @default.
• W2017184010 cites W2057271824 @default.
• W2017184010 cites W2058135122 @default.
• W2017184010 cites W2067381374 @default.
• W2017184010 cites W2068989602 @default.
• W2017184010 cites W2075036506 @default.
• W2017184010 cites W2079056345 @default.
• W2017184010 cites W2079524044 @default.
• W2017184010 cites W2080687021 @default.
• W2017184010 cites W2081663028 @default.
• W2017184010 cites W2087746647 @default.
• W2017184010 cites W2088392539 @default.
• W2017184010 cites W2094639848 @default.
• W2017184010 cites W2103077920 @default.
• W2017184010 cites W2105692193 @default.
• W2017184010 cites W2117114551 @default.
• W2017184010 cites W2118305000 @default.
• W2017184010 cites W2137315159 @default.
• W2017184010 cites W2137575882 @default.
• W2017184010 cites W2137682839 @default.
• W2017184010 cites W2138422740 @default.
• W2017184010 cites W2145319716 @default.
• W2017184010 cites W2153132589 @default.
• W2017184010 cites W2154012818 @default.
• W2017184010 cites W2160399330 @default.
• W2017184010 cites W2160797468 @default.
• W2017184010 cites W2161130757 @default.
• W2017184010 cites W2162323457 @default.
• W2017184010 cites W2166998713 @default.
• W2017184010 cites W2172116519 @default.
• W2017184010 cites W2406873460 @default.
• W2017184010 cites W4238981621 @default.
• W2017184010 doi "https://doi.org/10.1021/es070561r" @default.
• W2017184010 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17993125" @default.
• W2017184010 hasPublicationYear "2007" @default.
• W2017184010 type Work @default.
• W2017184010 sameAs 2017184010 @default.
• W2017184010 citedByCount "78" @default.
• W2017184010 countsByYear W20171840102012 @default.
• W2017184010 countsByYear W20171840102013 @default.
• W2017184010 countsByYear W20171840102014 @default.

• next