Dataset Information

Proteomics study of a human thyrotoxicosis mode

ABSTRACT: In this study we experimentally induced thyrotoxicosis in healthy volunteers to explore the effects of thyroxine excess on the plasma proteome. 16 healthy male subjects were sampled at baseline, 4 and 8 weeks under 250 µg/d thyroxine p.o., as well as 4 and 8 weeks after stopping the application.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Elke Hammer

LAB HEAD: Uwe Völker

PROVIDER: PXD004815 | Pride | 2017-01-18

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	131205_OV1_BE__P04_T1.raw	Raw
	131205_OV1_BE__P04_T2.raw	Raw
	131205_OV1_BE__P04_T3.raw	Raw
	131205_OV1_BE__P04_T4.raw	Raw
	131205_OV1_BE__P04_T5.raw	Raw

Items per page:

1 - 5 of 320

Publications

Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model.

Pietzner Maik M Engelmann Beatrice B Kacprowski Tim T Golchert Janine J Dirk Anna-Luise AL Hammer Elke E Iwen K Alexander KA Nauck Matthias M Wallaschofski Henri H Führer Dagmar D Münte Thomas F TF Friedrich Nele N Völker Uwe U Homuth Georg G Brabant Georg G

BMC medicine 20170109 1

<h4>Background</h4>Determinations of thyrotropin (TSH) and free thyroxine (FT<sub>4</sub>) represent the gold standard in evaluation of thyroid function. To screen for novel peripheral biomarkers of thyroid function and to characterize FT<sub>4</sub>-associated physiological signatures in human plasma we used an untargeted OMICS approach in a thyrotoxicosis model.<h4>Methods</h4>A sample of 16 healthy young men were treated with levothyroxine for 8 weeks and plasma was sampled before the intake ...[more]

PMID: 28065164

Similar Datasets

Project description:Cytokines such as TNF-alpha and IL-1beta are known for their contribution to inflammatory processes in liver . In contrast, the cytokine IL-17 has not yet been assigned a role in liver diseases. IL-17 can cooperate with TNF-alpha to induce a synergistic response on several target genes in different cell lines, but no data exist for primary hepatocytes. To enhance our knowledge on the impact of IL-17 alone and combined with TNF-alpha in primary murine hepatocytes a comprehensive microarray study was designed. IL-1beta was included as this cytokine is suggested to act in a similar manner as the combination of TNF-alpha and IL-17, especially with respect to its role in mRNA stabilization. Results: The present microarray analysis demonstrates that primary murine hepatocytes responded to IL-17 stimulation by upregulation of chemokines and genes, which are functionally responsible to increase and sustain inflammation. Cxcl2, Nfkbiz and Zc3h12a were strongly induced, whereas the majority of the genes were only very moderately upregulated. Promoter analysis revealed involvement of NF-kappaB in the activation of many genes. Combined stimulation of TNF-alpha/IL-17 resulted in enhanced induction of gene expression, but significantly synergistic effects could be applied only to a few genes, such as Nfkbiz, Cxcl2, Zc3h12 and Steap4. Comparison of the gene expression profile obtained after stimulation of TNF-alpha/IL-17 versus IL-1 proposed a IL-1beta-like effect of the latter cytokine combination. Moreover, evidence was provided that modulation of mRNA stability may be a major mechanism by which IL-17 regulates gene expression in primary hepatocytes. This assumption was exemplarily proven for Nfkbiz mRNA for the first time in hepatocytes. Our studies also suggest that RNA stability can partially be correlated to the existence of AU rich elements, but further mechanisms like the RNase-activity of the upregulated Zc3h12a have to be considered. Conclusions: Our microarray analysis gives new insights in IL-17 induced gene expression in primary hepatocytes highlighting the crosstalk with the NF-kappaB signalling pathway. Gene expression profile suggests IL-17 a role in sustaining liver inflammatory processes most likely by RNA stabilization. Altogether, our results provide evidence that IL-17 alone and in concert with TNF-alpha may play a role in inflammatory liver diseases. Primary murine hepatocytes of three animals stimulated for 1 or 4h by TNF-alpha, IL-1beta, IL-17 or TNF-alpha followed by IL-17 were used for microarray analysis.

Project description:Many flowering plants attract pollinators by offering a reward of floral nectar. Remarkably, the molecular events involved in the development of nectaries, the organs that produce nectar, as well as the synthesis and secretion of nectar itself, are poorly understood. Indeed, to date, no genes have been shown to directly affect the de novo production or quality of floral nectar. To address this gap in knowledge, the ATH1 Affymetrix GeneChip array was used to systematically investigate the Arabidopsis nectary transcriptome to identify genes and pathways potentially involved in nectar production. In this study, we identified a large number of genes differentially expressed between secretory lateral nectaries and non-secretory median nectary tissues, as well as between mature lateral nectaries (post-anthessis) and immature lateral nectary tissue (pre-anthesis). To identify genes that are specifically upregulated in nectary tissues, and therefore may contribute to nectar production, we compared individual nectary samples (ILN, MLN & MMN) with 51 non-nectary reference tissues (downloaded .cel files from other studies). 270 genes were identified as being significantly upregulated in nectaries. The expression patterns for multiple genes were also confirmed via RT-PCR. The co-normalized RMA expression data (i.e., our own 8 nectary samples and 51 samples downloaded from GEO) are available as a supplementary file at the foot of this record. Three different types of RNA samples were prepared from Arabidopsis thaliana ecotype Columbia-0 nectaries: mature lateral nectaries (MLN; Stage 14-15 flowers), immature lateral nectaries (ILN, Stage 11-12 flowers), and mature median nectaries (MMN, Stage 14-15 flowers) [developmental stages defined by (Smyth et al., 1990)]. MLN are secretory tissues, whereas, ILN and MMN are pre-secretory and nonsecretory tissues, respectively. All nectary tissues were separately dissected by hand from the flowers of primary inflorescences of ca. 30-35 day-old plants. All plants were grown in soil with a 16h light/8h dark light regimen. Due to the small size of nectaries, dissections took place over several days from 4-8 hours after dawn (h.a.d.). The gene expression dataset obtained by our laboratory was enriched with third party expression data (i.e., 51 GEO Samples: GSM131510..GSM131660). The final gene expression dataset includes 59 hybridizations.