Provided are systems and methods for detecting the presence of cancer DNA in blood and for identifying the cancer origin in a test subject. Also provided are systems and methods for monitoring likelihood of cancer recurrence in a subject previously treated for cancer, systems and methods for assessing the efficacy of a cancer treatment in a subject suffering from cancer, and systems and methods for treating cancer in a subject in need thereof. The disclosed systems and methods comprise various elements such as (a) bisulfite treating cell free DNA (cfDNA) from a liquid biopsy sample of the test subject; (b) using the bisulfite treated cfDNA to prepare a first sequencing library for (i) a plurality of specific target genomic regions and (ii) a second sequencing library for a genome from a flow through of the first sequencing library; (c) sequencing the prepared first and second sequencing libraries, thereby producing a corresponding first and second plurality of sequencing results; and (d) analyzing the corresponding first and second plurality of sequencing results; and (e) receiving output from a machine learning model.

The present disclosure relates to materials and methods for spatial detection of nucleic acid in a tissue sample or a portion thereof. In particular, provided herein are materials and methods for detecting RNA so as to obtain spatial information about the localization, distribution or expression of genes in a tissue sample. In some embodiments, the materials and methods provided herein enable detection of gene expression in a single cell.

Provided herein are methods for enhanced specificity of multiplexed measurements. Methods provided herein include immunoassay reactions and/or measuring protein-protein interactions with direct sequencing readouts of DNA barcodes.

A method for developing capture agents for target proteins employs a compound library to find cyclic peptide sequences that bind the target protein. The target protein is also reacted with a clickable group-provider reagent to provide the protein with clickable groups. The compounds in the library are provided with complementary clickable groups that bind the clickable group on the target protein when the peptide sequences bind the target protein. In some embodiments, the cyclic peptide sequences that bind the target protein are incorporated into constructs having one or more arms that can serve as capture agents or potential treatments against the pathogens from which the target protein is derived. Some embodiments provide pharmaceutical compositions for immunoassays, diagnostics, therapeutics or the like, that employ the constructs.

Provided herein are compositions, kits, and methods for nucleic acid barcoding. The barcode compositions provided herein can be used to linearly, combinatorially, or spatially barcode a plurality of targets in a sample. Also provided herein is a device for use in a barcoding method provided herein comprising a light source and a sample holder.

Provided herein are compositions, kits, and methods for nucleic acid barcoding. The barcode compositions provided herein can be used to linearly, combinatorially, or spatially barcode a plurality of targets in a sample. Also provided herein is a device for use in a barcoding method provided herein comprising a light source and a sample holder.

The present disclosure provides a high-throughput screening system and method for identification of novel drugs and drug targets. The method enables large-scale analysis of interactions between allogeneic pairs of target cells and immune cells by using an immune-bridge protein, library of guide RNA, and/or 3D tumor model.

Provided is a system for multiplexed genome editing or a two or three-way combinatorial CRISPR screening. Also provided is high-throughput screening of disease-alleviating genetic combinations to identify two-way and three-way synergistic drug combinations as potential treatment regimens. Also provided is a lentiviral three-way combinatorial guide RNA expression cassette and combinatorial guide RNA libraries.

The scChIA-Drop method is a microfluidics-based dual-indexing strategy for single-cell and single-molecule chromatin interaction analysis.

Methods of uniquely labeling or barcoding molecules within a cell, a plurality of cells, and/or a tissue are provided. Kits for uniquely labeling or barcoding molecules within a cell, a plurality of cells, and/or a tissue are also provided. The molecules to be labeled may include, but are not limited to, RNAs, cDNAs, DNAs, proteins, peptides, and/or antigens.