Abstract: Disclosed herein are non-naturally occurring vesicle comprising a chimeric vesicle localization moiety comprising a surface-and-transmembrane domain of a first vesicle localization moiety and a cytosolic domain of a second vesicle localization moiety, the method of making said vesicle and uses thereof.

Abstract: Methods and systems for extracellular vesicle characterization are provided herein. Embodiments of the methods include inputting measured physical, biological, or chemical aspects of extracted extracellular vesicles. Next, an information architecture that characterizes relationships between biological entities and diseases in humans or other vertebrates is generated. Then, relationships between the measured physical, biological, or chemical aspects of the isolated extracellular vesicles with the information architecture are automatically inferred, thereby characterizing extracellular vesicles.

Abstract: According to various embodiments, a system and method for characterizing protein and nucleic acid content of a plurality of individual particles. The method includes encapsulating individual particles into compartments also containing analyte specific binding complements with oligonucleotide tags comprising a unique molecular identifier sequence, a sequence to identify the analyte specific binding complement, and a homology domain sequence. Allowing the oligonucleotide tags to hybridize on homology domain to form initial tag pairs, amplifying the tag pairs, using an enzyme to cut at the homology domain, allowing tags to re-hybridize, pooling the compartments, and sequencing. Finally, predicting co-encapsulated analytes by computational identification of clusters based on more frequently found oligonucleotide tag pairs.

Abstract: According to various embodiments, a system and method for characterizing protein and nucleic acid content of a plurality of individual particles. The method includes encapsulating individual particles into compartments also containing analyte specific binding complements with oligonucleotide tags comprising a unique molecular identifier sequence, a sequence to identify the analyte specific binding complement, and a homology domain sequence. Allowing the oligonucleotide tags to hybridize on homology domain to form initial tag pairs, amplifying the tag pairs, using an enzyme to cut at the homology domain, allowing tags to re-hybridize, pooling the compartments, and sequencing. Finally, predicting co-encapsulated analytes by computational identification of clusters based on more frequently found oligonucleotide tag pairs.

Abstract: Methods and systems for extracellular vesicle characterization are provided herein. Embodiments of the methods include inputting measured physical, biological, or chemical aspects of extracted extracellular vesicles. Next, an information architecture that characterizes relationships between biological entities and diseases in humans or other vertebrates is generated. Then, relationships between the measured physical, biological, or chemical aspects of the isolated extracellular vesicles with the information architecture are automatically inferred, thereby characterizing extracellular vesicles.

Abstract: According to various embodiments, a system and method for characterizing protein and nucleic acid content of a plurality of individual particles. The method includes encapsulating individual particles into compartments also containing analyte specific binding complements with oligonucleotide tags comprising a unique molecular identifier sequence, a sequence to identify the analyte specific binding complement, and a homology domain sequence. Allowing the oligonucleotide tags to hybridize on homology domain to form initial tag pairs, amplifying the tag pairs, using an enzyme to cut at the homology domain, allowing tags to re-hybridize, pooling the compartments, and sequencing. Finally, predicting co-encapsulated analytes by computational identification of clusters based on more frequently found oligonucleotide tag pairs.

Abstract: A system for identifying exosome subpopulations and payloads for potential targeted therapeutics comprises a simultaneous extracellular vesicle membrane and enclosed content detecting composition. The extracellular vesicle membrane and enclosed content detecting composition includes: a bead comprising a selective binding agent; an extracellular vesicle membrane protein-specific DNA tag bound to the selective binding agent and comprising a poly-T end; and an extracellular vesicle-derived RNA comprising a poly-A end bound to the membrane protein-specific DNA tag poly-T end. The composition may comprise cDNA bound to the RNA. The selective binding agent may comprise a barcode and a molecular identifier. The selective binding agent may selectively bind the membrane protein identifier DNA present in a droplet. In some embodiments, the bead may be a magnetic bead. In some embodiments, the bead may be a conductive bead.

Abstract: Methods and systems for extracellular vesicle characterization are provided herein. Embodiments of the methods include inputting measured physical, biological, or chemical aspects of extracted extracellular vesicles. Next, an information architecture that characterizes relationships between biological entities and diseases in humans or other vertebrates is generated. Then, relationships between the measured physical, biological, or chemical aspects of the isolated extracellular vesicles with the information architecture are automatically inferred, thereby characterizing extracellular vesicles.