Ontology highlight
ABSTRACT:
PROVIDER: PRJNA889460 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21864800.fastq.gz | Fastqsanger.gz | |||
| SRR21864801.fastq.gz | Fastqsanger.gz | |||
| SRR21864802.fastq.gz | Fastqsanger.gz | |||
| SRR21864803.fastq.gz | Fastqsanger.gz | |||
| SRR21864804.fastq.gz | Fastqsanger.gz |
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Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of transcriptome in mazie plants. The ZmPIS gene coding PtdIns synthase from maize with a maize ubiquitin promoter was transferred into maize. The transgenic ZmPIS maize showed enhanced drought tolerance compared to non-transgenic maize. The differentially expressed genes between wide-type maize and transgenic ZmPIS maize were detected by the assay of digital gene expression profile and real time RT-PCR datas. The results displayed that the overexpression of ZmPIS resulted in the expression levels changes of a large number of genes including genes involved in the phosphatidylinositol (PI) metabolic pathway, photosynthesis metabolism, carbohydrate metabolism, aminoacid metabolism and genes coding transcription factors.
2013-09-01 | GSE31944 | GEO
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of transcriptome in mazie plants. The ZmPIS gene coding PtdIns synthase from maize with a maize ubiquitin promoter was transferred into maize. The transgenic ZmPIS maize showed enhanced drought tolerance compared to non-transgenic maize. The differentially expressed genes between wide-type maize and transgenic ZmPIS maize were detected by the assay of digital gene expression profile and real time RT-PCR datas. The results displayed that the overexpression of ZmPIS resulted in the expression levels changes of a large number of genes including genes involved in the phosphatidylinositol (PI) metabolic pathway, photosynthesis metabolism, carbohydrate metabolism, aminoacid metabolism and genes coding transcription factors. Examination of The differences of the transcriptional profile between wide-type maize and transgenic ZmPIS maize and analysis of the network regulated by the ZmPIS gene
2013-09-01 | E-GEOD-31944 | biostudies-arrayexpress
Project description:We report the use of high-throughput single-cell RNA sequencing (scRNA-seq) to analyze gene expression in Mesophyll cells from Maize. We using the 10x genomics platform to generate several millions of RNA-seq reads and enable transcriptional profiling of all genes of maize in a single-cell resolution. Tsne methods was used to perform dimension reduction analysis to visualize cells in a two-dimension axis.
2021-10-07 | GSE138526 | GEO
Project description:Maize LOB30 (Zm00001d036435) is a transcription factor and is specifically expressed in anthers. Our previous RNA-seq data showed that expression of some genes were upregualted in maize lob30 mutant maize anthers. To confirm these genes are the downstrem target genes, we generated proLOB30: GFP-LOB30 transgenic maize lines, collected stage 9 to stage10 anther materials and performed ChIP-seq using the GFP antibody.
2023-01-20 | GSE220176 | GEO
Project description:Kilian2024 - Immune cell dynamics in Cue-Induced Extended Human Colitis Model
Single-cell technologies such as scRNA-seq and flow cytometry provide critical insights into immune cell behavior in inflammatory bowel disease (IBD). However, integrating these datasets into computational models for dynamic analysis remains challenging. Here, Kilian et al., (2024) developed a deterministic ODE-based model that incorporates these technologies to study immune cell population changes in murine colitis. The model parameters were optimized to fit experimental data, ensuring an accurate representation of immune cell behavior over time. It was then validated by comparing simulations with experimental data using Pearson’s correlation and further tested on independent datasets to confirm its robustness. Additionally, the model was applied to clinical bulk RNA-seq data from human IBD patients, providing valuable insights into immune system dynamics and potential therapeutic strategies.
Figure 4c, obtained from the simulation of human colitis model is highlighted here.
This model is described in the article:
Kilian, C., Ulrich, H., Zouboulis, V.A. et al. Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease. npj Syst Biol Appl 10, 69 (2024). https://doi.org/10.1038/s41540-024-00395-9
Abstract:
Single-cell-based methods such as flow cytometry or single-cell mRNA sequencing (scRNA-seq) allow deep molecular and cellular profiling of immunological processes. Despite their high throughput, however, these measurements represent only a snapshot in time. Here, we explore how longitudinal single-cell-based datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. We derived longitudinal changes in cell numbers of colonic cell types during inflammatory bowel disease (IBD) from flow cytometry and scRNA-seq data of murine colitis using ODE-based models. Our mathematical model generalised well across different protocols and experimental techniques, and we hypothesised that the estimated model parameters reflect biological processes. We validated this prediction of cellular turnover rates with KI-67 staining and with gene expression information from the scRNA-seq data not used for model fitting. Finally, we tested the translational relevance of the mathematical model by deconvolution of longitudinal bulk mRNA-sequencing data from a cohort of human IBD patients treated with olamkicept. We found that neutrophil depletion may contribute to IBD patients entering remission. The predictive power of IBD deterministic modelling highlights its potential to advance our understanding of immune dynamics in health and disease.
This model was curated during the Hackathon hosted by BioMed X GmbH in 2024.
2025-03-07 | MODEL2502180001 | BioModels
Project description:Primary outcome(s): Cancer-related gene alteration, expression of protein, and expression of RNA
| 2645675 | ecrin-mdr-crc
Project description:The depiction of maize chromatin architecture using Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) provides great opportunities to investigate cis-regulatory elements, which is crucial for crop improvement. We demonstrate a streamlined ATAC-seq protocol for maize in which nuclei purification can be achieved without cell sorting, and using only a standard bench-top centrifuge. Our protocol, coupled with the bioinformatic analysis, provides a precise and efficient assessment of the maize chromatin landscape.
2024-01-10 | GSE252638 | GEO
Project description:Opaque2 (O2) is a transcription factor that plays important roles during maize endosperm development. Mutation of the O2 gene improves the nutritional value of maize seeds, but also confers pleiotropic effects that result in reduced agronomic quality. To reveal the transcriptional regulatory framework of O2, we determined O2 DNA binding targets using chromatin immunoprecipitation coupled to high-throughput sequencing (ChIP-Seq). ChIP-Seq analysis detected 1,686 O2 DNA binding sites distributed over 1,143 genes. We identified 4 new O2 binding motifs; among them, TGACGTGG appears to be the most conserved and strongest. We confirmed that, except for the 16 kD and 18 kD zeins, O2 directly regulates expression of all other zeins. O2 directly regulates two transcription factors, genes linked to carbon and amino acid metabolism and abiotic stress resistance. Examination of 15 days after pollination(DAP) wild type maize endosperm with O2 specific antibody and IgG serves as control.
2015-03-06 | E-GEOD-63991 | biostudies-arrayexpress
Project description:P1 encodes an R2R3-MYB transcription factor responsible for the accumulation of insecticidal flavones in maize silks and red phlobaphene pigments in pericarps and other floral tissues, which contributed to making P1 an important visual marker since the dawn of modern genetics. We conducted RNA-Seq using from maize silks obtained at 2-3 days after emergence. High-throughput sequencing using the Illumina platform resulted in the generation of ~14 million high quality reads, corresponding to ~7 million reads for each sample, from which 76% aligned to the maize genome. Examination of two different RNA samples from maize silks obtained at 2-3 days after emergence
2012-09-14 | E-GEOD-38414 | biostudies-arrayexpress