Ontology highlight
ABSTRACT:
PROVIDER: PRJNA497965 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:NHGRI Large Scale Sequencing Program
| PRJNA158497 | ENA
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:Precision de novo peptide sequencing using mirror proteases of Ac-LysargiNase and trypsin for large-scale proteomicsPrecision de novo peptide sequencing using mirror proteases of Ac-LysargiNase and trypsin for large-scale proteomics
2019-01-11 | PXD008688 | Pride
Project description:We performed a large-scale genome-wide characterisation of indels generated following editing with CRISPR/Cas9. We used pools of sgRNAs and performed targeted capture and sequencing of the edited regions in HepG2 cells.
2018-12-13 | E-MTAB-7095 | biostudies-arrayexpress
Project description:We report a set of rapid, efficient and low-cost methods for ATAC-seq library construction and data analysis, realized large-scale and rapid sequencing. These methods can provide a reference for the study of epigenetic regulation of gene expression.
2022-04-30 | GSE199016 | GEO
Project description:The Mount Sinai cohort of large-scale proteomic data in Alzheimer's disease
2021-05-20 | E-PROT-57 | ExpressionAtlas
Project description:Large-scale gene expression profiling of hepatocellular adenomas
| PRJNA348757 | ENA
Project description:Large-scale sequencing of RNAs from individual cells can reveal patterns of gene, isoform and allelic expression across cell types and states. However, current single-cell RNA-sequencing (scRNA-seq) methods have limited ability to count RNAs at allele- and isoform resolution, and long-read sequencing techniques lack the depth required for large-scale applications across cells. Here, we introduce Smart-seq3 that combines full-length transcriptome coverage with a 5’ unique molecular identifier (UMI) RNA counting strategy that enabled in silico reconstruction of thousands of RNA molecules per cell. Importantly, a large portion of counted and reconstructed RNA molecules could be directly assigned to specific isoforms and allelic origin, and we identified significant transcript isoform regulation in mouse strains and human cell types. Moreover, Smart-seq3 showed a dramatic increase in sensitivity and typically detected thousands more genes per cell than Smart-seq2. Altogether, we developed a short-read sequencing strategy for single-cell RNA counting at isoform and allele-resolution applicable to large-scale characterization of cell types and states across tissues and organisms.
2020-04-14 | E-MTAB-8735 | biostudies-arrayexpress