Exosomes and other extracellular vesicles (EVs) are considered the main vehicles transporting RNAs in extracellular samples, including human bodily fluids. However, a major proportion of extracellular RNAs (exRNAs) do not copurify with EVs and remain in ultracentrifugation supernatants of cell-conditioned medium or blood serum. We have observed that nonvesicular exRNA profiles are highly biased toward those RNAs with intrinsic resistance to extracellular ribonucleases. These highly resistant exRNAs are interesting from a biomarker point of view, but are not representative of the actual bulk of RNAs released to the extracellular space. In order to understand exRNA dynamics and capture both stable and unstable RNAs, we developed a method based on size-exclusion chromatography (SEC)

Defects in bone resorption by osteoclasts result in numerous rare genetic bone disorders as well as in some common diseases such as osteoporosis or osteopetrosis. The use of hiPSC-differentiated osteoclasts opens new avenues in this research field by providing an unlimited cell source and overcoming obstacles such as unavailability of human specimens and suitable animal models. Generation of hiPSCs is well established but efficient differentiation of hiPSCs into osteoclasts has been challenging. Published hiPSC-osteoclast differentiation protocols use a hiPSC-OP9 co-culture system or hiPSC-derived embryoid bodies (EBs) with multiple cytokines. Our three-stage protocol consists of 1) EB mesoderm differentiation, 2) expansion of myelomonocytic cells and 3) maturation of hiPSC-osteoclasts.

Cell-type specific transcriptional programs underlie the development and maintenance of organs. Not only distinct cell types within a tissue, even cells with supposedly identical cell fates show a high degree of transcriptional heterogeneity. Inevitable, low cell numbers are a major hurdle to study transcriptomes of pure cell populations. Here we describe DigiTAG, a high-throughput method that combines transposase fragmentation and molecular barcoding to retrieve high quality transcriptome data of rare cell types in Drosophila melanogaster. The protocol showcases how DigiTAG can be used to analyse the transcriptome of rare neural stem cells (type II neuroblasts) of Drosophila larval brains, but can also be utilized for other cell types or model systems.