Ghent University Academic Bibliography

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Development and validation of a versatile non-invasive urinary steroidomics method for wildlife biomonitoring

Tom Cools (UGent) , Kirsten S. Wilson, Desheng Li, Catherine Vancsok, Baptiste Mulot, Antoine Leclerc, José Kok, Marko Haapakoski, Mads F. Bertelsen, Andreas Ochs, et al.

(2024) TALANTA. 273.
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- Conference Paper
- C3
- open access
Untargeted metabolomics reveals discriminative metabolic fingerprints in pregnant versus pseudo-pregnant giant pandas during the luteal phase

Tom Cools (UGent) , Desheng Li, Tim Bouts, Kirsten S. Wilson, Colin W. Duncan, Catherine Vancsok, Baptiste Mulot, Antoine Leclerc, José Kok, Heini Niinimäki, et al.

(2022) Benelux Metabolomics Days, Abstracts.
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- Conference Paper
- C3
- open access
Innovation in wildlife endocrinology : LA-REIMS metabolic fingerprinting for early pregnancy testing in giant pandas

Tom Cools (UGent) , Desheng Li, Vera Plekhova (UGent) , Tim Bouts, Kirsten S. Wilson, Catherine Vancsok, Baptiste Mulot, Antoine Leclerc, José Kok, Rengui Li, et al.

(2021) International Society of Wildlife Endocrinology, Virtual Event, Abstracts.
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- Journal Article
- A1
- open access
Urinary estrogens as a non-invasive biomarker of viable pregnancy in the giant panda (Ailuropoda melanoleuca)

Kirsten S. Wilson, Jella Wauters (UGent) , Iain Valentines, Alan McNeilly, Simon Girlings, Rengui Li, Desheng Li, Hemin Zhang, Mick T. Rae, Forbes Howie, et al.

(2019) SCIENTIFIC REPORTS. 9.
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- Journal Article
- A1
- open access
Urinary specific gravity as an alternative for the normalisation of endocrine metabolite concentrations in giant panda (Ailuropoda melanoleuca) reproductive monitoring

Jella Wauters (UGent) , Kirsten S. Wilson, Tim Bouts, Iain Valentine, Koen Vanderschueren, Cyrillus Ververs (UGent) , A. Forbes Howie, Mick T. Rae, Ann Van Soom (UGent) , Rengui Li, et al.

(2018) PLOS ONE. 13(7).

Academic Bibliography

Development and validation of a versatile non-invasive urinary steroidomics method for wildlife biomonitoring

Untargeted metabolomics reveals discriminative metabolic fingerprints in pregnant versus pseudo-pregnant giant pandas during the luteal phase

Innovation in wildlife endocrinology : LA-REIMS metabolic fingerprinting for early pregnancy testing in giant pandas

Urinary estrogens as a non-invasive biomarker of viable pregnancy in the giant panda (Ailuropoda melanoleuca)

Urinary specific gravity as an alternative for the normalisation of endocrine metabolite concentrations in giant panda (Ailuropoda melanoleuca) reproductive monitoring

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