Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1025867 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Plant hormones interact with each other and regulate gene expression to control plant growth and development. To understand the complex network, accumulation of comprehensive and integrative data of gene expression and hormone concentration is important. Using microarray, global gene expression profile was analyzed to compare with plant hormone concentration in 14 parts of rice at reproductive stage. The microarray data are used to construct public rice hormonome-transcriptome database UniVIO (http://univio.psc.riken.jp/).
2012-10-13 | GSE41556 | GEO
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:In order to more accurately discover the cause of drug resistance in tumor treatment, and to provide a new basis for precise treatment.
Therefore, based on the umbrella theory of precision medicine, we carried out this single-center, prospective, and observational study to include patients with liver metastases from colorectal cancer. By combining genome, transcriptome, and proteomic sequencing data, we established a basis for colorectal cancer liver Transfer the multi-omics data of the sample, describe the reason for the resistance of the first-line treatment, and search for new therapeutic targets.
| 2349788 | ecrin-mdr-crc
Project description:Plant hormones interact with each other and regulate gene expression to control plant growth and development. To understand the complex network, accumulation of comprehensive and integrative data of gene expression and hormone concentration is important. Using microarray, global gene expression profile was analyzed to compare with plant hormone concentration in 14 parts of rice at reproductive stage. The microarray data are used to construct public rice hormonome-transcriptome database UniVIO (http://univio.psc.riken.jp/). We analyzed flower, panicle branch,internode I, node I and II, and some leaves of rice plant at the heading satage. Total 35 samples were analyzed in this experiment.
2012-10-13 | E-GEOD-41556 | biostudies-arrayexpress
Project description:Plant hormones auxin and ethylene are the key regulators of plant growth and development, and their crosstalk is essential for numerous processes. Large-scale identification of new molecular targets in this crosstalk and their characterization is a tempting idea. To address this issue, we combined our own and publicly available Arabidopsis thaliana transcriptome data on auxin and ethylene treatments in a meta-analysis.
2020-12-31 | GSE149410 | GEO