nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Advances in understanding CO2 responsive plant metabolomes in the era of climate change
|
Misra, Biswapriya B. |
|
2015 |
11 |
6 |
p. 1478-1491 |
artikel |
2 |
2015: an eventful year for the Metabolomics Society
|
Roessner, Ute |
|
2015 |
11 |
6 |
p. 1475-1477 |
artikel |
3 |
An integrated targeted metabolomic platform for high-throughput metabolite profiling and automated data processing
|
Cai, Yuping |
|
2015 |
11 |
6 |
p. 1575-1586 |
artikel |
4 |
A quantitative 1H NMR approach for evaluating the metabolic response of Saccharomyces cerevisiae to mild heat stress
|
Puig-Castellví, Francesc |
|
2015 |
11 |
6 |
p. 1612-1625 |
artikel |
5 |
A rapid method for profiling of volatile and semi-volatile phytohormones using methyl chloroformate derivatisation and GC–MS
|
Rawlinson, Catherine |
|
2015 |
11 |
6 |
p. 1922-1933 |
artikel |
6 |
Aspartate metabolism and pyruvate homeostasis triggered by oxidative stress in Pseudomonas fluorescens: a functional metabolomic study
|
Alhasawi, Azhar |
|
2015 |
11 |
6 |
p. 1792-1801 |
artikel |
7 |
Assessment of automated trimethylsilyl derivatization protocols for GC–MS-based untargeted metabolomic analysis of urine
|
Abbiss, Hayley |
|
2015 |
11 |
6 |
p. 1908-1921 |
artikel |
8 |
A tandem liquid chromatography–mass spectrometry (LC–MS) method for profiling small molecules in complex samples
|
Pyke, James S. |
|
2015 |
11 |
6 |
p. 1552-1562 |
artikel |
9 |
Biomass composition: the “elephant in the room” of metabolic modelling
|
Dikicioglu, Duygu |
|
2015 |
11 |
6 |
p. 1690-1701 |
artikel |
10 |
Cell line dependence of metabolite leakage in metabolome analyses of adherent normal and cancer cell lines
|
Kapoore, Rahul Vijay |
|
2015 |
11 |
6 |
p. 1743-1755 |
artikel |
11 |
Cell-type specific metabolic profiling of Arabidopsis thaliana protoplasts as a tool for plant systems biology
|
Petersson, Sara V. |
|
2015 |
11 |
6 |
p. 1679-1689 |
artikel |
12 |
Changes in urine headspace composition as an effect of strenuous walking
|
Samudrala, Devasena |
|
2015 |
11 |
6 |
p. 1656-1666 |
artikel |
13 |
Computational and statistical analysis of metabolomics data
|
Ren, Sheng |
|
2015 |
11 |
6 |
p. 1492-1513 |
artikel |
14 |
Constrained randomization and multivariate effect projections improve information extraction and biomarker pattern discovery in metabolomics studies involving dependent samples
|
Jonsson, Pär |
|
2015 |
11 |
6 |
p. 1667-1678 |
artikel |
15 |
COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access
|
Salek, Reza M. |
|
2015 |
11 |
6 |
p. 1587-1597 |
artikel |
16 |
Erratum to: COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access
|
Salek, Reza M. |
|
2015 |
11 |
6 |
p. 1598-1599 |
artikel |
17 |
Fusion of the 1H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructive sleep apnea syndrome
|
Ząbek, Adam |
|
2015 |
11 |
6 |
p. 1563-1574 |
artikel |
18 |
Gender-specific pathway differences in the human serum metabolome
|
Krumsiek, Jan |
|
2015 |
11 |
6 |
p. 1815-1833 |
artikel |
19 |
Hydrophilic interaction (HILIC) and reverse phase liquid chromatography (RPLC)–high resolution MS for characterizing lipids profile disruption in serum of anabolic implanted bovines
|
Nzoughet, J. Kouassi |
|
2015 |
11 |
6 |
p. 1884-1895 |
artikel |
20 |
Identification of serum biomarkers associated with hepatitis B virus-related hepatocellular carcinoma and liver cirrhosis using mass-spectrometry-based metabolomics
|
Lu, Yonghai |
|
2015 |
11 |
6 |
p. 1526-1538 |
artikel |
21 |
Impact of maternal obesity on the metabolic profiles of pregnant women and their offspring at birth
|
Desert, Romain |
|
2015 |
11 |
6 |
p. 1896-1907 |
artikel |
22 |
Inflammatory metabolites in exhaled breath condensate characterize the obese respiratory phenotype
|
Paris, Debora |
|
2015 |
11 |
6 |
p. 1934-1939 |
artikel |
23 |
Informative metabolites identification by variable importance analysis based on random variable combination
|
Yun, Yong-Huan |
|
2015 |
11 |
6 |
p. 1539-1551 |
artikel |
24 |
LC–MS-based absolute metabolite quantification: application to metabolic flux measurement in trypanosomes
|
Kim, Dong-Hyun |
|
2015 |
11 |
6 |
p. 1721-1732 |
artikel |
25 |
Matrix effect on chemical isotope labeling and its implication in metabolomic sample preparation for quantitative metabolomics
|
Han, Wei |
|
2015 |
11 |
6 |
p. 1733-1742 |
artikel |
26 |
Metabolic profiling reveals anomalous energy metabolism and oxidative stress pathways in chronic fatigue syndrome patients
|
Armstrong, Christopher W. |
|
2015 |
11 |
6 |
p. 1626-1639 |
artikel |
27 |
Metabolic responses induced by DNA damage and poly (ADP-ribose) polymerase (PARP) inhibition in MCF-7 cells
|
Bhute, Vijesh J. |
|
2015 |
11 |
6 |
p. 1779-1791 |
artikel |
28 |
Metabolic responses of rice leaves and seeds under transgenic backcross breeding and pesticide stress by pseudotargeted metabolomics
|
Zhao, Yanni |
|
2015 |
11 |
6 |
p. 1802-1814 |
artikel |
29 |
Metabolomic changes during cellular transformation monitored by metabolite–metabolite correlation analysis and correlated with gene expression
|
Madhu, Basetti |
|
2015 |
11 |
6 |
p. 1848-1863 |
artikel |
30 |
Metabolomics profiling of pre-and post-anesthesia plasma samples of colorectal patients obtained via Ficoll separation
|
Ghini, Veronica |
|
2015 |
11 |
6 |
p. 1769-1778 |
artikel |
31 |
Plasma lipid biomarker signatures in squamous carcinoma and adenocarcinoma lung cancer patients
|
Ravipati, Srinivasarao |
|
2015 |
11 |
6 |
p. 1600-1611 |
artikel |
32 |
Quantification of 1H NMR spectra from human plasma
|
Graaf, Robin A. de |
|
2015 |
11 |
6 |
p. 1702-1707 |
artikel |
33 |
Quantitative 1H NMR metabolome profiling of Thai Jasmine rice (Oryza sativa) reveals primary metabolic response during brown planthopper infestation
|
Uawisetwathana, Umaporn |
|
2015 |
11 |
6 |
p. 1640-1655 |
artikel |
34 |
Results of the 2015 elections to the board of directors
|
Ebbels, Tim |
|
2015 |
11 |
6 |
p. 1473-1474 |
artikel |
35 |
Statistical treatment of 2D NMR COSY spectra in metabolomics: data preparation, clustering-based evaluation of the Metabolomic Informative Content and comparison with 1H-NMR
|
Féraud, Baptiste |
|
2015 |
11 |
6 |
p. 1756-1768 |
artikel |
36 |
The human saliva metabolome
|
Dame, Zerihun T. |
|
2015 |
11 |
6 |
p. 1864-1883 |
artikel |
37 |
The three glioma rat models C6, F98 and RG2 exhibit different metabolic profiles: in vivo 1H MRS and ex vivo 1H HRMAS combined with multivariate statistics
|
Coquery, Nicolas |
|
2015 |
11 |
6 |
p. 1834-1847 |
artikel |
38 |
Tomato fruit volatile profiles are highly dependent on sample processing and capturing methods
|
Rambla, Jose L. |
|
2015 |
11 |
6 |
p. 1708-1720 |
artikel |
39 |
Volatile organic compound (VOC) profiling of citrus tristeza virus infection in sweet orange citrus varietals using thermal desorption gas chromatography time of flight mass spectrometry (TD-GC/TOF-MS)
|
Cheung, William H. K. |
|
2015 |
11 |
6 |
p. 1514-1525 |
artikel |