Beate Kamlage

TL;DR: Rapid diurnal changes in transcript levels are integrated over time to generate quasi-stable changes across large sectors of metabolism, which implies that correlations between metabolites and transcripts are due to regulation of gene expression by metabolites, rather than metabolites being changed as a consequence of a change in gene expression.

TL;DR: In this article, the authors used ATH1 arrays, real-time quantitative (q)RT-PCR analysis of >2000 transcription regulators, robotized assays of enzymes from central metabolism and metabolite profiling.

TL;DR: In this article, a process for the production of the fine chemical in a microorganism, a plant cell or a plant tissue or in one or more parts thereof, preferably in plastids is described.

TL;DR: The results showed that transcription and metabolism responded in a continuous manner across a wide range of temperatures, and indicated that much, but not all, of the response was orchestrated by the CBF programme.

TL;DR: A biomarker signature (nine metabolites and additionally CA19-9) was identified for the differential diagnosis between PDAC and CP and results in a negative predictive value of 99.9% (95% CI 99.7%–99.9%) in patients with CP with an increased risk for pancreatic cancer.