Similar Datasets
Project description:Pharmacokinetic model of alkylresorcinols. Both plasma AR concentrations and urinary metabolites in 24-h samples showed a dose-response relation to increased AR intake, which strongly supports the hypothesis that ARs and their metabolites may be useful as biomarkers of whole-grain wheat and rye intakes.
2020-05-12 | BIOMD0000000948 | BioModels
Project description:We present a high-resolution network of gene expression during meiosis and its regulatory control elements in polyploid wheat. MeioCapture method (Shunmugam et al. 2018 BMC Plant Biology 18: 293) was used for isolating high-purity sporogenous archesporial columns of synchronized male meiocytes from wheat anthers in different meiotic stages. Total RNA extracted from three independent biological replicates per developmental stage of the meiocytes, as well as vegetative flag leaf, young leaves, and reproductive anthers and pollen, was sequenced using Illumina platform, generating 548 million paired-end short mRNA reads. Filtered reads were aligned to the wheat reference genome (IWGSC v1.0) using STAR. Transcript abundance was estimated using the RSEM (v1.3.3) and the IWGSC v1.1 annotation, and read counts and transcripts per million (TPM) values that normalize counts to a consistent number per library (1 million) to facilitate the comparison of relative expression across various samples were generated.
2023-01-31 | GSE182171 | GEO
Project description:To profile the transcriptome of samples by “sample type (EV vs. Cell)”, “sex (Female vs. Male)”, and “treatment (0 vs. 120 vs 320 mg / dL)”. We performed gene expression profiling analysis using data obtained from RNA-seq of 18 EV samples and 18 cell samples in different treatment groups and sex.
2023-04-19 | GSE214545 | GEO
Project description:The aim of this study was to examine the transcriptional changes that govern the primary nitrogen (N) limitation response in roots and the long-term effect of N limitation in the basal nodes, which may be associated with tiller suppression by N supply. The effect of biostimulant application on N limitation response was also examined by including plant treated and untreated with microalgae extract-based biostimulant. For this purpose, RNA-seq was conducted in roots of 15 days-old hydroponically grown wheat plants (treated and untreated with biostimulants) 24 h after the introduction of the plants to the N limitation and in basal nodes of 32 days-old wheat plants (treated and untreated with biostimulants) exposed to N limitation for 18 days. The two different N treatments were: High N (10 mM N) and Low N (0.1 mM N). In total, three biological replicates were included per treatment. RNA-seq was conducted in total RNA extracted from 3 basal node samples pooled together per biological replicate. In this study, the basal node is defined as the 0.5 cm of the main shoot base, which includes the apical meristem, lateral buds, leaf meristems etc.
2023-01-17 | E-MTAB-11927 | biostudies-arrayexpress
Project description:Background: MicroRNAs regulate various biological processes in plants. Considerable data are available on miRNAs involved in the development of rice, maize and barley. In contrast, little is known about miRNAs and their functions in the development of wheat. In this study, five small RNA (sRNA) libraries from wheat seedlings, flag leaves, and developing seeds were developed and sequenced to identify miRNAs and understand their functions in wheat development. Results: Twenty-four known miRNAs belonging to 15 miRNA families were identified from 18 MIRNA loci in wheat in the present study, including 15 (9 MIRNA loci) first identified in wheat, 13 miRNA families (16 MIRNA loci) being highly conserved and 2 (2 MIRNAs loci) moderately conserved. In addition, fifty-five novel miRNAs were also identified. The potential target genes for 15 known miRNAs and 37 novel miRNAs were predicted using strict criteria, and these target genes are involved in a wide range of biological functions. Four of the 15 known miRNA families and 22 of the 55 novel miRNAs were preferentially expressed in the developing seeds with logarithm of the fold change of 1.0～7.6, and half of them were seed-specific, suggesting that they participate in regulating wheat seed development and metabolism. From 5 days post-anthesis to 20 days post-anthesis, miR164 and miR160 increased in abundance in developing seeds, whereas miR169 decreased, suggesting their coordinating functions in the different developmental stages of wheat seed. Moreover, eight known miRNA families and 28 novel miRNAs exhibited tissue-biased expression in wheat flag leaves, with the logarithm of the fold changes of 0.5～5.2. The putative targets of these tissue-preferential miRNAs were involved in various metabolism and biological processes, suggesting complexity of the regulatory networks in different tissues. Our data also suggested that wheat flag leaves have more complicated regulatory networks of miRNAs than developing seeds. Conclusions: Our work identified and characterised wheat miRNAs, their targets and expression patterns. This study is the first to elucidate the regulatory networks of miRNAs involved in wheat flag leaves and developing seeds, and provided a foundation for future studies on specific functions of these miRNAs.
2017-01-01 | GSE50524 | GEO