Several computational methods have been developed to augment spatially resolved single-cell transcriptomics to measure more genes. We developed TISSUE to build on these methods by providing confidence in these computational measurements and additional tools for performing data analysis.
We engineered a novel family of genetically-encoded fluorescent norepinephrine indicators in green and red. These indicators exhibit exceptional sensitivity, ligand-specificity, and temporal resolution, surpassing prior indicators and enabling the detection of norepinephrine in living animals.
How is the identity of a cell encoded in its genome? And what underlies transcriptomic changes in disease states? SCENIC+ helps researchers provide answers to these questions (and many more … ) by inferring enhancers and gene regulatory networks.
Prioritized analysis enables proteins of interest to be consistently quantified across single-cell samples at no cost to depth of coverage. Applied to primary macrophages, prioritization facilitated the quantification of proteolytically regulated proteoforms and the study of endocytic competency.