Similar Datasets
Project description:The aim of this study is to investigate the effects of dietary plant and animal proteins on gut metabolism and markers for colorectal cancer as well as blood protein metabolites and markers for type 2 diabetes in healthy adults. The study participants will be stratified into three groups with different protein composition in diets: 1) animal 70%/plant 30%; 2) animal 50%/plant 50% and 3) animal 30%/plant 70%. The participants will get part of their diet as ready foods or raw material to promote their compliance. The participants will also get personal advice for their diets. Blood, stool and urine samples will be collected in the beginning and in the end of the 12 week intervention, as well as phenotype measures like BMI, blood pressure and body composition. The participants will also fill food diary before and in the end of the intervention.
| 2248500 | ecrin-mdr-crc
Project description:The circadian clock is comprised of proteins that form negative feedback loops, which regulate the timing of global gene expression in a coordinated 24 hour cycle. As a result, the plant circadian clock is responsible for regulating numerous physiological processes central to growth and survival. To date, most plant circadian clock studies have relied on diurnal transcriptome changes to elucidate molecular connections between the circadian clock and observable phenotypes in wild-type plants. Here, we have combined high-throughput RNA-sequencing and mass spectrometry to comparatively characterize the lhycca1, prr7prr9, gi and toc1 circadian clock mutant rosette transcriptome and proteome at the end-of-day and end-of-night.
2018-01-02 | PXD004763 | Pride
Project description:Illumina HiSeq technology was used to generate mRNA profiles from Helianthemum almeriense in three different conditions: non-mycorrhizal plant, well-watered mycorrhizal plant and drought-stressed mycorrhizal plant. Paired-end reads of 75 bp were generated and aligned to a de novo transcriptome assembly from H. almeriense, which was performed using Megahit version 1.1.3 and transcripts from each condition were mapped onto the de novo transcriptome with Bowtie2 version 2.3.0.
2020-10-21 | GSE155042 | GEO