Graphical AbstractHighlights d exRNA sequencing complexity and reproducibility varies across isolation methods d Deconvolution shows differential access to exRNA carriers by different methods d Performance of exRNA isolation methods vary across biofluids and RNA species d miRDaR enables customized selection of optimal exRNA isolation methods SUMMARYPoor reproducibility within and across studies arising from lack of knowledge regarding the performance of extracellular RNA (exRNA) isolation methods has hindered progress in the exRNA field. A systematic comparison of 10 exRNA isolation methods across 5 biofluids revealed marked differences in the complexity and reproducibility of the resulting small RNA-seq profiles. The relative efficiency with which each method accessed different exRNA carrier subclasses was determined by estimating the proportions of extracellular vesicle (EV)-, ribonucleoprotein (RNP)-, and highdensity lipoprotein (HDL)-specific miRNA signatures in each profile. An interactive web-based application (miRDaR) was developed to help investigators select the optimal exRNA isolation method for their studies. miRDar provides comparative statistics for all expressed miRNAs or a selected subset of miRNAs in the desired biofluid for each exRNA isolation method and returns a ranked list of exRNA isolation methods prioritized by complexity, expression level, and repro-ducibility. These results will improve reproducibility and stimulate further progress in exRNA biomarker development.

Graphical Abstract Highlights d The exRNA Atlas provides access to human exRNA profiles and web-accessible tools d Atlas analysis reveals six exRNA cargo types present across five human biofluids d Five of the cargo types associate with specific vesicular and non-vesicular carriers d These findings and resources empower studies of extracellular RNA communication An extracellular RNA atlas from five human biofluids (serum, plasma, cerebrospinal fluid, saliva, and urine) reveals six extracellular RNA cargo types, including both vesicular and nonvesicular carriers. SUMMARY To develop a map of cell-cell communication mediated by extracellular RNA (exRNA), the NIH Extracellular RNA Communication Consortium created the exRNA Atlas resource (https://exrna-atlas.org). The Atlas version 4P1 hosts 5,309 exRNA-seq and exRNA qPCR profiles from 19 studies and a suite of analysis and visualization tools. To analyze variation between profiles, we apply computational deconvolution. The analysis leads to a model with six exRNA cargo types (CT1, CT2, CT3A, CT3B, CT3C, CT4), each detectable in multiple biofluids (serum, plasma, CSF, saliva, urine). Five of the cargo types associate with known vesicular and non-vesicular (lipoprotein and ribonucleoprotein) exRNA carriers. To validate utility of this model, we re-analyze an exercise response study by deconvolution to identify physiologically relevant response pathways that were not detected previously.To enable wide application of this model, as part of the exRNA Atlas resource, we provide tools for deconvolution and analysis of user-provided case-control studies.

Porous silicon (pSi) is emerging as a promising material in the development of nanovectors for the systemic delivery of therapeutic and imaging agents. The integration of photolithographic patterning, typical of the semiconductor industry, with electrochemical silicon etching provides a highly flexible strategy to fabricate monodisperse and precisely tailored nanovectors. Here, a microfabrication strategy for direct lithographic patterning of discoidal pSi particles is presented that enables precise and independent control over particle size, shape, and porous structure. Discoidal pSi nanovectors with diameters ranging from 500 to 2600 nm, heights from 200 to 700 nm, pore sizes from 5 to 150 nm, and porosities from 40 to 90% are demonstrated. The degradation in serum, interaction with immune and endothelial cells in vitro, and biodistribution in mice bearing breast tumors are assessed for two discoidal nanovectors with sizes of 600 nm × 400 nm and 1000 nm × 400 nm. It is shown that both particle types are degraded after 24 h of continuous gentle agitation in serum, do not stimulate cytokine release from macrophages or affect endothelial cell viability, and accumulate up to about 10% of the injected dose per gram tissue in orthotopic murine models of breast cancer. The accumulation of the discoidal pSi nanovectors into the breast tumor mass is found to be up to five times higher than for spherical silica beads with similar diameters.