Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1073711 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27884339_1.fastq.gz | Fastqsanger.gz | |||
| SRR27884339_2.fastq.gz | Fastqsanger.gz | |||
| SRR27884340_1.fastq.gz | Fastqsanger.gz | |||
| SRR27884340_2.fastq.gz | Fastqsanger.gz | |||
| SRR27884341_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 8 |
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Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
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Project description:The BAF (Brg/Brahma-associated factors) complex, also referred to as the mammalian Switch/Sucrose-Nonfermentable (mSWI/SNF) chromatin remodeling complex, plays a pivotal role in epigenetically regulating diverse transcriptional programs. BAF’s chromatin remodeling activity, which enhances accessibility to transcriptional machinery, is critical for gene regulation. We hypothesize that redirecting endogenous BAF complexes to “turn on” therapeutically relevant genes offer an additional approach for disease treatment. Using chronic myelogenous leukemia K562 cells stably expressing the FIRE-dCas9 system (K562-FIRE) and rapamycin as a chemical inducer of proximity (CIP) via CRISPR/Cas9 and FKBP/FRB dimerization, we redirected endogenous BAF complexes to the promoter of fetal hemoglobin (HBG) using pooled small guide RNAs (sgRNAs) targeting the HBG1 promoter. RNA-seq analysis showed a statistically significant increase in HBG1 and HBG2 gene expression in rapamycin treated cells over the DMSO treated controls.
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Project description:In the rapidly advancing field of synthetic biology, there is a critical need for technology to discover targeting moieties for therapeutic biologics. We developed INSPIRE-seq, an approach that utilizes a nanobody library and next-generation sequencing to identify nanobodies selected for complex environments. INSPIRE-seq enables the parallel enrichment of immune cell-binding nanobodies that penetrate the tumor microenvironment. Clone enrichment and specificity varies across immune cell subtypes in the tumor, lymph node, and spleen. INSPIRE-seq identified a dendritic cell binding clone that binds PHB2. Single-cell RNA sequencing revealed a connection with cDC1s, and immunofluorescence confirmed nanobody-PHB2 colocalization along cell membranes. Structural modeling and docking studies assisted binding predictions and will guide nanobody selection. In this work, we demonstrate that INSPIRE-seq offers an unbiased approach to examine complex microenvironments and assist in the development of nanobodies, which could serve as active drugs, modified to become drugs, or used as targeting moieties.
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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.
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Project description:Bordel2018 - GSMM for Human Metabolic
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This model is described in the article:
Constraint based modeling of
metabolism allows finding metabolic cancer hallmarks and
identifying personalized therapeutic windows
Sergio Bordel
Oncotarget. 2018; 9:19716-19729
Abstract:
In order to choose optimal personalized anticancer
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This model is hosted on
BioModels Database
and identified by:
MODEL1707250000.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
| MODEL1707250000 | BioModels
Project description:Genomic imprinting is a critical developmental process characteristic of parent-of-origin- specific gene expression. Here, we have identified the AFF family protein, Aff3, as a factor that functionally interacts with imprinted loci. Indeed, our genome-wide studies demonstrate that Aff3 specifically binds both imprinting control regions (ICRs) and enhancers within imprinted loci in an allele-specific manner. We have identified the molecular regulators involved in the recruitment of Aff3 to ICRs to impede transcription through the ICR, and provide a mechanism requiring Aff3 within the Super Elongation Complex-like 3 (SEC-L3) in the expression of an imprinted polycistronic transcript spanning the Dlk1-Dio3 locus. Our study also shows that DNA methylation at the ICR reinforces silencing of its related enhancers by controlling the binding and activity of Aff3 in an allele-specific manner. This study provides molecular details about the regulation of dosage-critical imprinted gene expression through Aff3âs function in transcriptional elongation control. ChIP-seq of Aff3 in different mES cells. ChIP-seq of Aff3, PolII, H3K9me3 in uniparental MEF cell lines. ChIP-seq of H3K27ac and PolII in mES cells after Aff3 shRNA and non-targeting shRNA. ChIP-seq of H3K27ac in wild type and Zfp57 knockout ES cells. Total RNA-seq and nascent RNA-seq of mES cells after Aff3 shRNA and non-targeting shRNA. Total RNA-seq of uniparental MEF cells after Aff3 shRNA and non-targeting shRNA.
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