In Saccharomyces cerevisiae, deficiencies in the ESCRT machinery trigger the mistargeting of endocytic and biosynthetic ubiquitinated cargoes to the limiting membrane of the vacuole. Surprisingly, impairment of this machinery also leads to the accumulation of various receptors and transporters at the plasma membrane in both yeast and higher eukaryotes. Using the well-characterized yeast endocytic cargo uracil permease (Fur4p), we show here that the apparent stabilization of the permease at the plasma membrane in ESCRT mutants results from an efficient recycling of the protein. Whereas several proteins as well as internalized dyes are known to be recycled in yeast, little is known about the machinery and molecular mechanisms involved. The SNARE protein Snc1p is the only cargo for which the recycling pathway is well characterized. Unlike Snc1p, endocytosed Fur4p did not pass through the Golgi apparatus en route to the plasma membrane. Although ubiquitination of Fur4p is required for its internalization, deubiquitination is not required for its recycling. In an attempt to identify actors in this new recycling pathway, we found an unexpected phenotype associated with loss of function of the Vps class C complex: cells defective for this complex are impaired for recycling of Fur4p, Snc1p, and the lipophilic dye FM4-64. Genetic analyses indicated that these phenotypes were due to the functioning of the Vps class C complex in trafficking both to and from the late endosomal compartment.

Single-cell RNA sequencing predominantly employs short-read sequencing to characterize cell types, states and dynamics; however, it is inadequate for comprehensive characterization of RNA isoforms. Long-read sequencing technologies enable single-cell RNA isoform detection but are hampered by lower throughput and unintended sequencing of artifacts. Here we developed Single-cell Targeted Isoform Long-Read Sequencing (scTaILoR-seq), a hybridization capture method which targets over a thousand genes of interest, improving the median number of unique transcripts per cell by 29-fold. We used scTaILoR-seq to identify and quantify RNA isoforms from ovarian cancer cell lines and primary tumors, yielding 10,796 single-cell transcriptomes. Using long-read variant calling we revealed associations of expressed single nucleotide variants (SNVs) with alternative transcript structures. In addition, phasing of SNVs across transcripts facilitated measurement of allelic imbalance within distinct cell populations. Overall, scTaILoR-seq is a long-read targeted RNA sequencing method and analytical framework for exploring transcriptional variation at single-cell resolution.