Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1051071 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR27175514_1.fastq.gz | Fastqsanger.gz | |||
| SRR27175514_2.fastq.gz | Fastqsanger.gz | |||
| SRR27175515_1.fastq.gz | Fastqsanger.gz | |||
| SRR27175515_2.fastq.gz | Fastqsanger.gz |
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Project description:RPTEC cells were cultured and irradiated to induce cellular senescence. Bulk RNA-seq was performed to observe the transcriptional response.
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Project description:Bulk ATAC-seq of RPTEC with HNF1B CRISPRi
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Project description:Osteoradionecrosis of the jaw (ORNJ) is a complication after head and neck radiotherapy that severely affects patients’ quality of life. Currently, an overall understanding of microenvironmental factors of ORNJ is still lacking. Here, we reveal the activation of taurine metabolism in irradiated mandibular stromal cells with scRNA-Seq and the decrease of taurine in irradiated bone marrow mesenchymal stromal cells (BMSCs) with metabolomics. Compared to the unirradiated BMSCs, the taurine uptake of irradiated BMSCs increases. The taurine concentration in peripheral blood and jaws of irradiated mice are significantly lower than the unirradiated mice. Supplementation of taurine promotes osteogenic differentiation, decreases oxidative stress and DNA damage of irradiated BMSCs. Oral administration of taurine significantly promotes survival rate of irradiated mice and promotes osteogenesis of irradiated jaws. Our study sheds light on the role of taurine during the recovery of radiation-induced jaw injury, suggesting a potential non-invasive therapeutic means to combat ORNJ.
2024-07-08 | MTBLS10284 | MetaboLights
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:We performed bulk RNA-Seq to investigate global transcriptional changes upon overexpression of the centromeric H3 variant CenH3/CENP-A in p53 wild-type and defective cells, and after X-irradiation treatment. We established clonal MCF-10-2A TetOn-CENPA-FLAG-HA cell lines where CENP-A can be reversibly induced by Doxycycline (Dox) treatment. Upon CENP-A overexpression, these cells exhibit different radiosensitivity depending on p53 status. In order to profile global changes in expression, we compared MCF-10-2A TetOn-CENPA-FLAG-HA cells expressing either empty vector (p53-WT) or dominant-negative p53 (p53-DN) with 0X Dox (no Dox), 1X Dox (10 ng/ml), or 10X Dox (100 ng/ml) for 24h. At time 0, we irradiated one set of cells by X-ray generator (4gy) while a control set remained un-irradiated (0gy). 6h later, we extracted RNA for RNA-seq.
2021-03-01 | E-MTAB-9867 | biostudies-arrayexpress
Project description:Renal Tubular Epithelial Cells (RPTEC) from two donors were cultivated in vitro until irreversible growth arrest was observed. Total RNA from young (replicating) as well as growth arrested cells was harvested and hybridized to LNA based microRNA microarrays using a looped design. After data processing, differential expression of miRNAs in senescent vs. young RPTEC cells was calculated.
2010-04-19 | E-MEXP-2393 | biostudies-arrayexpress
Project description:The mechanism driving the remarkable ability of the remaining kidney to enlarge and increase its function following the removal of its contralateral pair remains elusive. To explore the pathways driving compensatory renal hypertrophy, comprehensive RNA-seq transcriptional studies were undertaken in the kidneys of C57BL/6 mice undergoing hypertrophy at 24, 48, and 72 hours following nephrectomy, and these results were compared with mice undergoing sham operations. In addition, mass spectrometry was carried out at 24 hours to examine changes in protein expression. Single-nuclei RNA-Seq was used to delineate bulk RNA-seq data into cell types at 24 hours post-nephrectomy. HK-2 renal tubular cells were examined for their ability to undergo hypertrophy in the presence of IGF-1 via the activation of cholesterol biosynthesis pathways. Bulk RNA-seq revealed substantial time-dependent enhancement of cholesterol biosynthesis pathways, increases in mitochondrial gene expression, and cell cycle perturbations. Single-nuclei RNA-Seq at 24 hours post-nephrectomy showed that Sterol Binding Protein 2 (SREBP2) activity increases in medullary thick ascending limb cells and, to a lesser extent, in proximal tubular cells, consistent with the role of promoting cholesterol synthesis. Furthermore, SREBP2 was found to regulate cell size following IGF-1 stimulation in HK-2 cells. There are early, cell-specific alterations in gene expression of cholesterol biosynthesis pathways, mitochondrial genes, and the cell cycle in kidneys undergoing compensatory hypertrophy. SREBP2 activity in the medullary thick ascending limb and, to a lesser extent, in proximal tubules may play a previously undescribed role in promoting cholesterol metabolism in the mechanism underlying compensatory renal hypertrophy.
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Project description:RNA-seq analysis of PRMT5-regulated genes in irradiated/non-irradiated LNCaP cells
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Project description:Long non-coding RNAs (lncRNAs) comprise a diverse class of transcripts that can regulate molecular and cellular processes in brain development and diseasee. LncRNAs exhibit cell type- and tissue-specific expression, but little is known about the expression and function of lncRNAs in the developing human brain. Here, we deeply profiled lncRNAs from polyadenylated and total RNA obtained from human neocortex at different stages of development and integrated this resource to analyze the transcriptomes of single cells. While lncRNAs were generally detected at low levels in whole tissues, single cell transcriptomics revealed that many lncRNAs are abundantly expressed in individual cells and are cell type-specific. Furthermore, we used CRISRPi to show that LOC646329, a lncRNA enriched in radial glia but detected at low abundance in tissues, regulates cell proliferation. The discrete and abundant expression of lncRNAs among individual cells has important implications for both their biological function and utility for distinguishing neural cell types. 16 Bulk Tissue Samples from GW13-23; 226 Single Cells from GW19.5-23.5 ------------------ bulk_tpm.polya.txt: bulk RNA-seq expression; using polyA full reference scell_ncounts.genes.thresh.txt: single cell RNA-seq expression; using polyA stringent reference; includes 50 GW16, GW21, GW21p3 cells previously analyzed (Pollen et. al. 2014) polya_RNA_stringent_ref.gtf: bulk RNA-seq polyA stringent transcriptome reference polya_RNA_full_ref.gtf: bulk RNA-seq polyA full transcriptome reference total_RNA_stringent_ref.gtf: bulk RNA-seq total stringent transcriptome reference total_RNA_full_ref.gtf: bulk RNA-seq total full transcriptome reference GW13_1_polya_minus.bw: strand-specific bulk RNA-seq alignment signal GW13_1_polya_plus.bw: strand-specific bulk RNA-seq alignment signal GW13_1_total_minus.bw: strand-specific bulk RNA-seq alignment signal GW13_1_total_plus.bw: strand-specific bulk RNA-seq alignment signal GW14.5_1_polya_minus.bw: strand-specific bulk RNA-seq alignment signal GW14.5_1_polya_plus.bw: strand-specific bulk RNA-seq alignment signal GW14.5_1_total_minus.bw: strand-specific bulk RNA-seq alignment signal GW14.5_1_total_plus.bw: strand-specific bulk RNA-seq alignment signal GW16_1_polya_minus.bw: strand-specific bulk RNA-seq alignment signal GW16_1_polya_plus.bw: strand-specific bulk RNA-seq alignment signal GW16_1_total_minus.bw: strand-specific bulk RNA-seq alignment signal GW16_1_total_plus.bw: strand-specific bulk RNA-seq alignment signal GW16_2_polya_minus.bw: strand-specific bulk RNA-seq alignment signal GW16_2_polya_plus.bw: strand-specific bulk RNA-seq alignment signal GW16_2_total_minus.bw: strand-specific bulk RNA-seq alignment signal GW16_2_total_plus.bw: strand-specific bulk RNA-seq alignment signal GW21_1_polya_minus.bw: strand-specific bulk RNA-seq alignment signal GW21_1_polya_plus.bw: strand-specific bulk RNA-seq alignment signal GW21_1_total_minus.bw: strand-specific bulk RNA-seq alignment signal GW21_1_total_plus.bw: strand-specific bulk RNA-seq alignment signal GW21_2_polya_minus.bw: strand-specific bulk RNA-seq alignment signal GW21_2_polya_plus.bw: strand-specific bulk RNA-seq alignment signal GW21_2_total_minus.bw: strand-specific bulk RNA-seq alignment signal GW21_2_total_plus.bw: strand-specific bulk RNA-seq alignment signal GW23_1_polya_minus.bw: strand-specific bulk RNA-seq alignment signal GW23_1_polya_plus.bw: strand-specific bulk RNA-seq alignment signal GW23_1_total_minus.bw: strand-specific bulk RNA-seq alignment signal GW23_1_total_plus.bw: strand-specific bulk RNA-seq alignment signal GW23_2_polya_minus.bw: strand-specific bulk RNA-seq alignment signal GW23_2_polya_plus.bw: strand-specific bulk RNA-seq alignment signal GW23_2_total_minus.bw: strand-specific bulk RNA-seq alignment signal GW23_2_total_plus.bw: strand-specific bulk RNA-seq alignment signal
2016-03-28 | E-GEOD-71315 | biostudies-arrayexpress