If you use cell2location please cite our paper: Kleshchevnikov, V., Shmatko, A., Dann, E. et al. Cell2location maps fine-grained cell types in spatial transcriptomics ...
A new multiplex immunofluorescence workflow using standard laboratory equipment and open-source software enables detailed ...
Plant immunity research has undergone a transformative shift with the advent of spatial and single-cell technologies, ...
One of the most detailed maps to date of meningioma—the most common brain tumor in adults—reveals how the tumor's surrounding environment helps drive disease behavior and patient outcomes, according ...
The heart and brain are among the earliest and most metabolically demanding organs in human development. Though historically studied in isolation, both ...
This repository implements a Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images. The method leverages single-cell RNA sequencing (scRNA-seq) data to ...
In this proposal we aim to use AI pipelines to bring together comprehensive profiling of a long-term high-fat diet model of mouse CMD. We will focus on developing AI analysis pipelines to integrate ...
All spatial transcriptomic datasets have been made publicly available at the NCBI Gene Expression Omnibus with Accession No. GSE287157 (56). Additionally, the expression matrices, list of marker genes ...
Mgat4b-mediated selective N -glycosylation regulates melanocyte development and melanoma progression
To summarize, through single cell transcriptomics, we identified that selective N -glycan branching mediated by mgat4b in migratory melanophore precursors is critical and essential for the early ...
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