Ontology highlight
ABSTRACT:
PROVIDER: PRJNA588272 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10414470.fastq.gz | Fastqsanger.gz | |||
| SRR10414471.fastq.gz | Fastqsanger.gz | |||
| SRR10414472.fastq.gz | Fastqsanger.gz | |||
| SRR10414473.fastq.gz | Fastqsanger.gz | |||
| SRR10414474.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 9 |
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Project description:We have utilized a HDAC class-I specific inhbitor 4SC-202 and revealed a potential involvement of BRD4 and MYC in regulating the expression of induced genes in response to 4SC-202 treatment.
2017-03-14 | GSE90110 | GEO
Project description:We examined transcriptome-wide effects of 4SC-202 in L3.6, BXPC3 and PANC1 cells as well as its effect on TGFβ signaling
2017-03-14 | GSE90111 | GEO
Project description:The aim of these study is to investiate the expression profile of neuroblastoma SK-N-BE(2) xenografts treated with one single dose of the KIF11 inhibitor 4SC-205 for 24 h. RNASeq libraries were prepared following the TruSeq® Stranded mRNA LT Sample Prep Kit protocol and sequenced on NovaSeq 6000 (Illumina). RNA-seq reads were mapped against human reference genome (GRCh38) using STAR software version 2.5.3a with ENCODE parameters. Genes were quantified using RSEM version 1.3.0. Tumors treated with 4SC-205 presented increased expression of genes involved in the G2/M checkpoint and E2F targets. Genes of mTORC1 pathway were found to be less expressed on treated tumors otherwise. This study demonstrates that KIF11 inhibition using 4SC-205 halts cell cycle progression of cancerous cells of neuroblastoma xenografts.
2022-02-06 | GSE166984 | GEO
Project description:Atypical teratoid rhabdoid tumor (ATRT) is a highly aggressive brain tumor of childhood with a poor overall survival. The salient molecular feature of ATRT is the loss of SMARCB1 which results in epigenetic dysregulation of the genome. SMARCB1 loss affects lineage commitment and differentiation by controlling gene expression. We hypothesized that additional epigenetic factors co-operate with SMARCB1 loss to control cell self-renewal and drive ATRT. We identified SIRT2 as a primary dependency in ATRT. Using a combination of RNA-seq, CUT&RUN and single RNA sequencing in model systems ATRT, we observed genome-wide reorganization of active chromatin and significantly changes in genes expression in ATRT cells with genetic (with shRNA) or chemical (with Tenovin or Thiomyristoyl (TM)) SIRT2 deactivation. Single-cell RNA transcriptome analysis of xenograft tumors revealed the elimination of tumor cells expressing stem cell genes and expansion of tumor cells expressing differentiated genes in vivo. Furthermore, SIRT2 inhibition induced apoptosis, decreased tumor growth and prolonged survival in orthotopic xenograft models. In summary we demonstrated that SIRT2 inhibition is a molecular vulnerability in SMARCB1-deleted tumors with therapeutic potential.
2025-06-16 | GSE273418 | GEO
Project description:Atypical teratoid rhabdoid tumor (ATRT) is a highly aggressive brain tumor of childhood with a poor overall survival. The salient molecular feature of ATRT is the loss of SMARCB1 which results in epigenetic dysregulation of the genome. SMARCB1 loss affects lineage commitment and differentiation by controlling gene expression. We hypothesized that additional epigenetic factors co-operate with SMARCB1 loss to control cell self-renewal and drive ATRT. We identified SIRT2 as a primary dependency in ATRT. Using a combination of RNA-seq, CUT&RUN and single RNA sequencing in model systems ATRT, we observed genome-wide reorganization of active chromatin and significantly changes in genes expression in ATRT cells with genetic (with shRNA) or chemical (with Tenovin or Thiomyristoyl (TM)) SIRT2 deactivation. Single-cell RNA transcriptome analysis of xenograft tumors revealed the elimination of tumor cells expressing stem cell genes and expansion of tumor cells expressing differentiated genes in vivo. Furthermore, SIRT2 inhibition induced apoptosis, decreased tumor growth and prolonged survival in orthotopic xenograft models. In summary we demonstrated that SIRT2 inhibition is a molecular vulnerability in SMARCB1-deleted tumors with therapeutic potential.
2025-06-16 | GSE273417 | GEO
Project description:Atypical teratoid rhabdoid tumor (ATRT) is a highly aggressive brain tumor of childhood with a poor overall survival. The salient molecular feature of ATRT is the loss of SMARCB1 which results in epigenetic dysregulation of the genome. SMARCB1 loss affects lineage commitment and differentiation by controlling gene expression. We hypothesized that additional epigenetic factors co-operate with SMARCB1 loss to control cell self-renewal and drive ATRT. We identified SIRT2 as a primary dependency in ATRT. Using a combination of RNA-seq, CUT&RUN and single RNA sequencing in model systems ATRT, we observed genome-wide reorganization of active chromatin and significantly changes in genes expression in ATRT cells with genetic (with shRNA) or chemical (with Tenovin or Thiomyristoyl (TM)) SIRT2 deactivation. Single-cell RNA transcriptome analysis of xenograft tumors revealed the elimination of tumor cells expressing stem cell genes and expansion of tumor cells expressing differentiated genes in vivo. Furthermore, SIRT2 inhibition induced apoptosis, decreased tumor growth and prolonged survival in orthotopic xenograft models. In summary we demonstrated that SIRT2 inhibition is a molecular vulnerability in SMARCB1-deleted tumors with therapeutic potential.
2025-06-16 | GSE278558 | 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:Functional genomics of HDAC class-I specific inhbitor 4SC-202 in pancreatic cell lines [RNA-seq]
| PRJNA354479 | ENA
Project description:Background. Atypical teratoid rhabdoid tumor (ATRT) is a highly aggressive brain tumor of childhood with a poor overall survival. The salient molecular feature of ATRT is the loss of SMARCB1 which results in epigenetic dysregulation of the genome. SMARCB1 loss affects lineage commitment and differentiation by controlling gene expression. We hypothesized that additional epigenetic factors co-operate with SMARCB1 loss to control cell self-renewal and drive ATRT. We identified SIRT2 as a primary dependency in ATRT. Using a combination of RNA-seq, CUT&RUN and single RNA sequencing in model systems ATRT, we observed genome-wide reorganization of active chromatin and significantly changes in genes expression in ATRT cells with genetic (with shRNA) or chemical (with Tenovin or Thiomyristoyl (TM) ) SIRT2 deactivation. Single-cell RNA transcriptome analysis of xenograft tumors revealed the elimination of tumor cells expressing stem cell genes and expansion of tumor cells expressing differentiated genes in vivo. Furthermore, SIRT2 inhibition induced apoptosis, decreased tumor growth and prolonged survival in orthotopic xenograft models. In summary we demonstrated that SIRT2 inhibition is a molecular vulnerability in SMARCB1-deleted tumors with therapeutic potential.
2025-06-16 | GSE274373 | GEO