Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8389383_1.fastq.gz | Fastqsanger.gz | |||
| SRR8389383_2.fastq.gz | Fastqsanger.gz | |||
| SRR8389384_1.fastq.gz | Fastqsanger.gz | |||
| SRR8389384_2.fastq.gz | Fastqsanger.gz | |||
| SRR8389385_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Snakes possess a unique sensory system for detecting infrared radiation, enabling them to generate a ‘thermal image’ of predators or prey. Infrared signals are initially received by the pit organ, a highly specialized facial structure that is innervated by nerve fibers of the somatosensory system. How this organ detects and transduces infrared signals into nerve impulses is not known. Here we use an unbiased transcriptional profiling approach to identify TRPA1 as the infrared receptor on sensory neurons that innervate the pit organ. TRPA1 from pit bearing snakes (rattlesnakes and pythons) are the most heat sensitive vertebrate ion channels thus far identified, consistent with their role as primary transducers of infrared stimuli in these animals. Thus, snakes detect infrared signals through a mechanism involving radiant heating of the pit organ, rather than photochemical transduction. These findings illustrate the broad evolutionary tuning of TRP channels as thermosensors in the vertebrate nervous system. Gene expression measurements implicate TRPA1 as the heat-sensitive channel in diverse pit snakes
2010-03-16 | E-GEOD-19911 | biostudies-arrayexpress
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.
2024-09-02 | MODEL2408160001 | BioModels
Project description:Snakes possess a unique sensory system for detecting infrared radiation, enabling them to generate a ‘thermal image’ of predators or prey. Infrared signals are initially received by the pit organ, a highly specialized facial structure that is innervated by nerve fibers of the somatosensory system. How this organ detects and transduces infrared signals into nerve impulses is not known. Here we use an unbiased transcriptional profiling approach to identify TRPA1 as the infrared receptor on sensory neurons that innervate the pit organ. TRPA1 from pit bearing snakes (rattlesnakes and pythons) are the most heat sensitive vertebrate ion channels thus far identified, consistent with their role as primary transducers of infrared stimuli in these animals. Thus, snakes detect infrared signals through a mechanism involving radiant heating of the pit organ, rather than photochemical transduction. These findings illustrate the broad evolutionary tuning of TRP channels as thermosensors in the vertebrate nervous system.
2010-03-16 | GSE19911 | 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:<p><strong>BACKGROUND:</strong> Reptiles exhibit a wide variety of skin colors, which serve essential roles in survival and reproduction. However, the molecular basis of these conspicuous colors remains unresolved.</p><p><strong>RESULTS:</strong> We investigate color morph-enriched Asian vine snakes (<em>Ahaetulla prasina</em>), to explore the mechanism underpinning color variations. Transmission electron microscopy imaging and metabolomics analysis indicates that chromatophore morphology (mainly iridophores) is the main basis for differences in skin color. Additionally, we assemble a 1.77 Gb high-quality chromosome-anchored genome of the snake. Genome-wide association study and RNA sequencing reveal a conservative amino acid substitution (p.P20S) in <em>SMARCE1</em>, which may be involved in the regulation of chromatophore development initiated from neural crest cells. <em>SMARCE1</em> knockdown in zebrafish and immunofluorescence verify the interactions among <em>SMARCE1</em>, iridophores, and <em>tfec</em>, which may determine color variations in the Asian vine snake.</p><p><strong>CONCLUSIONS:</strong> This study reveals the genetic associations of color variation in Asian vine snakes, providing insights and important resources for a deeper understanding of the molecular and genetic mechanisms related to reptilian coloration.</p>
2023-02-23 | MTBLS6927 | MetaboLights
Project description:Top-down proteomic characterization of venom from juvenile and adult brown tree snakes.
2017-05-31 | MSV000081130 | MassIVE
Project description:Our genomic, bulk and single-cell transcriptomic, functional, and developmental characterization of the Terrazzo corn snake color morph and the extensive comparison with wild-type snakes puts forward the dual role of PMEL in snake skin coloration, both in the differentiation of chromatophores during embryogenesis and the melanogenesis in melanophores.
2024-07-26 | GSE262159 | GEO
Project description:Our genomic, bulk and single-cell transcriptomic, functional, and developmental characterization of the Terrazzo corn snake color morph and the extensive comparison with wild-type snakes puts forward the dual role of PMEL in snake skin coloration, both in the differentiation of chromatophores during embryogenesis and the melanogenesis in melanophores.
2024-07-26 | GSE262160 | GEO