| Title |
Cross-platform metabolic profiling: application to the aquatic model organism Lymnaea stagnalis
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, January 2015
|
| DOI | 10.1007/s00216-014-8431-2 |
| Pubmed ID | |
| Authors |
Sara Tufi, Marja H. Lamoree, Jacob De Boer, Pim E. G. Leonards |
| Abstract |
The freshwater pond snail Lymnaea stagnalis is used in several studies on molecular and behavioral neurobiology and ecotoxicology showing its successful application as a model organism. In the present study, a cross-platform metabolomic approach has been evaluated to characterize the organ molecular phenotypes of L. stagnalis central nervous system (CNS), digestive gland (DG), and albumen gland (AG). Two types of tissue disruption methods were evaluated of which beads beating was the preferred method. To obtain a broad picture of the hydrophilic and lipophilic metabolome, two complementary analytical platforms have been employed: liquid chromatography (LC) and gas chromatography (GC) coupled to high-resolution mass spectrometry. Furthermore, to increase the power to separate small polar metabolites, hydrophilic interaction liquid chromatography (HILIC) was applied. The analytical platform performances have been evaluated based on the metabolome coverage, number of molecular features, reproducibility, and multivariate data analysis (MVDA) clustering. This multiplatform approach is a starting point for future global metabolic profiling applications on L. stagnalis. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 4% |
| South Africa | 1 | 4% |
| Unknown | 21 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 39% |
| Student > Master | 6 | 26% |
| Student > Bachelor | 2 | 9% |
| Other | 1 | 4% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 26% |
| Chemistry | 3 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Nursing and Health Professions | 1 | 4% |
| Other | 5 | 22% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2015.
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#16,722,190
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,259
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Outputs of similar age
#209,839
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Outputs of similar age from Analytical & Bioanalytical Chemistry
#69
of 127 outputs
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