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An extensive evaluation of differential expression methods applied to single-cell expression data, using uniformly processed public data in the new conquer resource.
CRISPR-based single-cell pooled screens that use linked barcodes suffer from lost sensitivity due to lentiviral template switching. The barcode-free CROP-seq design circumvents this problem.
Labeling newly transcribed RNA with 5-ethynyluridine and adding biotin via click chemistry allows the analysis of the proteome bound to the various RNA species, including nascent RNA.
A twist on a common method used for enriching phosphorylated peptides for mass spectrometry-based proteomics analysis now reveals previously undetected and widespread histidine phosphorylation in Escherichia coli.
An iterative structure factor retrieval algorithm allows electron densities to be directly calculated from solution scattering data, avoiding assumptions that limit modeling algorithms.
Chimeric receptors expressed on the surface of antigen-presenting cells enable the uptake of cancer-cell-derived extracellular vesicles and the display of tumor antigens.
Direct sequencing of RNA molecules in real time using nanopores allows for the detection of splice variants and hold promises for profiling RNA modifications.
Based on machine learning-predicted interaction interfaces, this resource enables interpretation of genomic variants and disease mutations in light of the protein-protein interactome.