This disclosure provides a decentralized workflow for analyzing single cell gene expression. The workflow makes use of pre-templated instant partitions to segregate cells into separate compartments to individually capture and barcode RNA from single cells in a massively parallel single tube format. The workflow includes steps for processing the RNA from the single cells for sequencing. Separate portions of the decentralized workflow are performed by a research lab and a core facility, allowing increased flexibility in time and location of protocol steps.

This disclosure provides a decentralized workflow for analyzing single cell gene expression. The workflow makes use of pre-templated instant partitions to segregate cells into separate compartments to individually capture and barcode RNA from single cells in a massively parallel single tube format. The workflow includes steps for processing the RNA from the single cells for sequencing. Separate portions of the decentralized workflow are performed by a research lab and a core facility, allowing increased flexibility in time and location of protocol steps.

Systems, methods, and apparatuses for generating and using machine learning models using genetic data. A set of input features for training the machine learning model can be identified and used to train the model based on training samples, e.g., for which one or more labels are known. As examples, the input features can include aligned variables (e.g., derived from sequences aligned to a population level or individual references) and/or non-aligned variables (e.g., sequence content). The features can be classified into different groups based on the underlying genetic data or intermediate values resulting from a processing of the underlying genetic data. Features can be selected from a feature space for creating a feature vector for training a model. The selection and creation of feature vectors can be performed iteratively to train many models as part of a search for optimal features and an optimal model.

De novo synthesized large libraries of nucleic acids are provided herein with low error rates. Further, devices for the manufacturing of high-quality building blocks, such as oligonucleotides, are described herein. Longer nucleic acids can be synthesized in parallel using microfluidic assemblies. Further, methods herein allow for the fast construction of large libraries of long, high-quality genes. Devices for the manufacturing of large libraries of long and high-quality nucleic acids are further described herein.

Systems and methods for associating single cell imaging data with RNA transcriptomics. Single cells are isolated into microwells with a microbead having oligonucleotides conjugated on its surface. Each oligonucleotide includes a cell identifying optical barcode that is unique to that bead and binding sequence for RNA capture after cell lysis. The system is configured for loading single cells into the microarray and for flowing cell lysis buffers and other reagents into the microarray for performing RNA library sample preparation. The system is also configured for lowing optical hybridization probes that are complementary to the cell identifying optical barcodes and optically labeled onto the microwell array and for obtaining images of the microwells in response to the probes. The system and unique cell identifying optical barcodes and complementary optical hybridization probes facilitate a link between phenotypic imaging of cells resident on the microwell array with single cell whole transcriptome sequencing.

A system and method are provided for simplifying and accelerating the screening and characterization of molecular interactions by high-throughput functional screening and sequencing of single cells. More specifically, a platform is provided which combines a solid support and an innovative method for capturing and barcoding of nucleic acids that allows simultaneous phenotyping and genotyping of >100, 000s of cells.

A system and method are provided for simplifying and accelerating the screening and characterization of molecular interactions by high-throughput functional screening and sequencing of single cells. More specifically, a platform is provided which combines a solid support and an innovative method for capturing and barcoding of nucleic acids that allows simultaneous phenotyping and genotyping of >100, 000s of cells.

Single-cell multi-omics by co-encapsulating a single cell with two beads, the first an RNA barcoding bead having barcoded mRNA capture primer oligonucleotides attached on the bead surface; and the second a DNA barcoding bead having two types of oligonucleotides releasably attached to the surface: (1) barcoded adapter oligonucleotides that are complementary to oligonucleotides bound to the transposase that are eventually incorporated into gDNA fragments and (2) polyadenylated barcoded oligonucleotides containing the same barcode sequence as the adapters. In addition, integrated analysis of RNA and protein, including intracellular protein, from individual cells using similar co-encapsulation of a single cell, an RNA barcoding bead, and with/without a specific or non-specific protein binding bead in a microwell, to avoid protein fixation by first lysing the cell to liberate intracellular contents, and then capturing protein either on a solid surface or in solution with barcoded affinity reagents.

This invention provides methods for near-instantaneously separating cells that have undergone RNA guided genome modifications into pre-templated instant partitions (PIPs) and using the PIPs to associate the guide RNAs with the gene expression level changes that resulted from the genome modification.

The present application relates to a compositions and methods comprising or expressing a hevamine A-related MoMo30 protein from Momordica balsamina. The MoMo30 protein is about 30 kDa in size, is stable after being autoclaved at 120° C. for 30 min, resists proteolytic cleavage by trypsin, exhibits mannose-sensitive binding to HIV gp120, exhibits hemagglutinin and chitinase activity, is capable of activating and stimulating T cell proliferation, is capable of preventing infection by HIV-1 or alleviating symptoms in an HIV-1 infected patients, and comprises an amino acid sequence of SEQ ID NO: 4. The MoMo30 protein and/or a nucleic acid encoding the same may be used in methods for preventing or treating microbial infections by HIV, SARS-CoV-2 and other enveloped viruses, as well as other microorganisms comprising cell surface proteins containing glycan residues, such as mannose.