Amy Harms

Dr. Amy Harms

Leiden Academic Centre for Drug Research
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2018 in Scientific Reports
Verified
Journal Article
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CDC. F. Draper
C. F. Draper
KDK. Duisters
K. Duisters
BWB. Weger
B. Weger
ACAnirikh Chakrabarti
Anirikh Chakrabarti
AHAmy Harms
Amy Harms
JGJ. van der Greef
J. van der Greef
The menstrual cycle is an essential life rhythm governed by interacting levels of progesterone, estradiol, follicular stimulating, and luteinizing hormones. To study metabolic changes, biofluids were collected at four timepoints in the menstrual cycle from 34 healthy, premenopausal women. Serum hormones, urinary luteinizing hormone and self-reported menstrual cycle timing were used for a 5-phase cycle classification. Plasma and urine were analyzed using LC-MS and GC-MS for metabolomics and lipidomics; serum for clinical chemistries; and plasma for B vitamins using HPLC-FLD. Of 397 metabolites and micronutrients tested, 208 were significantly (p < 0.05) changed and 71 reached the FDR 0.20 threshold showing rhythmicity in neurotransmitter precursors, glutathione metabolism, the urea cycle, 4-pyridoxic acid, and 25-OH vitamin D. In total, 39 amino acids and derivatives and 18 lipid species decreased (FDR < 0.20) in the luteal phase, possibly indicative of an anabolic state during the progesterone peak and recovery during menstruation and the follicular phase. The reduced metabolite levels observed may represent a time of vulnerability to hormone related health issues such as PMS and PMDD, in the setting of a healthy, rhythmic state. These results provide a foundation for further research on cyclic differences in nutrient-related metabolites and may form the basis of novel nutrition strategies for women.

1 March 2001 in Journal of Biological Chemistry
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Journal Article
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AVAlexander V. Vener
Alexander V. Vener
AHAmy Harms
Amy Harms
MSMichael R. Sussman
Michael R. Sussman
RVRichard D. Vierstra
Richard D. Vierstra
The use of mass spectrometry to characterize the phosphorylome, i.e. the constituents of the proteome that become phosphorylated, was demonstrated using the reversible phosphorylation of chloroplast thylakoid proteins as an example. From the analysis of tryptic peptides released from the surface ofArabidopsis thylakoids, the principal phosphoproteins were identified by matrix-assisted laser desorption/ionization and electrospray ionization mass spectrometry. These studies revealed that the D1, D2, and CP43 proteins of the photosystem II core are phosphorylated at their N-terminal threonines (Thr), the peripheral PsbH protein is phosphorylated at Thr-2, and the mature light-harvesting polypeptides LCHII are phosphorylated at Thr-3. In addition, a doubly phosphorylated form of PsbH modified at both Thr-2 and Thr-4 was detected. By comparing the levels of phospho- and nonphosphopeptides, the in vivo phosphorylation states of these proteins were analyzed under different physiological conditions. None of these thylakoid proteins were completely phosphorylated in the steady state conditions of continuous light or completely dephosphorylated after a long dark adaptation. However, rapid reversible hyperphosphorylation of PsbH at Thr-4 in response to growth in light/dark transitions and a pronounced specific dephosphorylation of the D1, D2, and CP43 proteins during heat shock was detected. Collectively, our data indicate that changes in the phosphorylation of photosynthetic proteins are more rapid during heat stress than during normal light/dark transitions. These mass spectrometry methods offer a new approach to assess the stoichiometry of in vivo protein phosphorylation in complex samples.

1 March 2009 in Molecular and Biochemical Parasitology
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Journal Article
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XWXiao-Jun Wu
Xiao-Jun Wu
GSGreg Sabat
Greg Sabat
JBJames F. Brown
James F. Brown
MZMengzi Zhang
Mengzi Zhang
ATAndrew Taft
Andrew Taft
TYTimothy P. Yoshino
Timothy P. Yoshino

7 January 2020 in Nature Communications
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Fiona Alysa HagenbeekFiona Alysa Hagenbeek
Fiona Alysa Hagenbeek
RPRené Pool
René Pool
JDJenny Van Dongen
Jenny Van Dongen
HDHarmen H. M. Draisma
Harmen H. M. Draisma
JHJouke Jan Hottenga
Jouke Jan Hottenga
DBDorret Irene Boomsma
Dorret Irene Boomsma
Metabolomics examines the small molecules involved in cellular metabolism. Approximately 50% of total phenotypic differences in metabolite levels is due to genetic variance, but heritability estimates differ across metabolite classes. We perform a review of all genome-wide association and (exome-) sequencing studies published between November 2008 and October 2018, and identify >800 class-specific metabolite loci associated with metabolite levels. In a twin-family cohort (N = 5117), these metabolite loci are leveraged to simultaneously estimate total heritability (h2total), and the proportion of heritability captured by known metabolite loci (h2Metabolite-hits) for 309 lipids and 52 organic acids. Our study reveals significant differences in h2Metabolite-hitsamong different classes of lipids and organic acids. Furthermore, phosphatidylcholines with a high degree of unsaturation have higher h2Metabolite-hitsestimates than phosphatidylcholines with low degrees of unsaturation. This study highlights the importance of common genetic variants for metabolite levels, and elucidates the genetic architecture of metabolite classes.

1 January 1996 in Analytical Chemistry
Verified
Journal Article
Closed access
CLChuanliang Liu
Chuanliang Liu
QWQinyuan Wu
Qinyuan Wu
AHAmy Harms
Amy Harms
RSRichard Smith
Richard Smith

18 April 2007 in Proteomics
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Journal Article
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CNClark J. Nelson
Clark J. Nelson
EHEdward L. Huttlin
Edward L. Huttlin
AHAdrian D. Hegeman
Adrian D. Hegeman
AHAmy Harms
Amy Harms
Michael R. SussmanMichael R. Sussman
Michael R. Sussman