Disclosed herein are methods for single-cell sequencing. In some examples, the methods include enriching a sample comprising a plurality of cells for cells of interest to produce an enriched cell sample; isolating one or more cells of interest in the enriched cell sample; and obtaining sequence information of one or more polynucleotides from each of the one or more isolated cells. Obtaining sequence information may include generating a molecularly indexed polynucleotide library from the one or more isolated cells. Enriching the sample may include focusing cells of interest in the sample using acoustic focusing.

The present invention relates to a method of characterizing a target DNA polynucleotide using rolling circle amplification (RCA) and a synthetic single guide RNA (sgRNA) to identify and cleave the WT version of the target DNA polynucleotide. Also provided are characterization steps based on the use of a transmembrane pore and a DNA translocase enzyme controlling the movement of the DNA polynucleotide through the transmembrane pore. Further envisaged is a kit comprising one or more oligonucleotides specific for at least a portion of the target DNA polynucleotide, an sgRNA specific for the WT version of the target DNA polynucleotide and an sgRNA-guided nucleic acid-binding protein.

The present invention relates to a method of characterizing a target DNA polynucleotide using rolling circle amplification (RCA) and a synthetic single guide RNA (sgRNA) to identify and cleave the WT version of the target DNA polynucleotide. Also provided are characterization steps based on the use of a transmembrane pore and a DNA translocase enzyme controlling the movement of the DNA polynucleotide through the transmembrane pore. Further envisaged is a kit comprising one or more oligonucleotides specific for at least a portion of the target DNA polynucleotide, an sgRNA specific for the WT version of the target DNA polynucleotide and an sgRNA-guided nucleic acid-binding protein.

Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

The present disclosure provides, inter alia, specially designed DNA adaptors and methods of preparing the same. Methods and kits for carrying out and detecting marker-free precision genome editing and genetic variation using such adaptors are also provided.

The present disclosure provides, inter alia, specially designed DNA adaptors and methods of preparing the same. Methods and kits for carrying out and detecting marker-free precision genome editing and genetic variation using such adaptors are also provided.

Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

Next Generation DNA sequencing promises to revolutionize clinical medicine and basic research. However, while this technology has the capacity to generate hundreds of billions of nucleotides of DNA sequence in a single experiment, the error rate of approximately 1% results in hundreds of millions of sequencing mistakes. These scattered errors can be tolerated in some applications but become extremely problematic when “deep sequencing” genetically heterogeneous mixtures, such as tumors or mixed microbial populations. To overcome limitations in sequencing accuracy, a method Duplex Consensus Sequencing (DCS) is provided. This approach greatly reduces errors by independently tagging and sequencing each of the two strands of a DNA duplex. As the two strands are complementary, true mutations are found at the same position in both strands. In contrast, PCR or sequencing errors will result in errors in only one strand. This method uniquely capitalizes on the redundant information stored in double-stranded DNA, thus overcoming technical limitations of prior methods utilizing data from only one of the two strands.

Disclosed herein include systems, methods, compositions, and kits for molecular barcoding on the 5′-end of a nucleic acid target. After barcoding a nucleic acid target using an oligonucleotide barcode comprising a target binding region and a molecular label to generate a barcoded nucleic acid molecule, an oligonucleotide comprising a complement of the target binding region can be added to generate a barcoded nucleic acid molecule comprising the target-binding region and the complement of the target-binding region. A stem loop is formed with intra-molecular hybridization of the barcoded nucleic acid molecule, which can be extended to generate an extended barcoded nucleic acid molecule comprising the molecular label and a complement of the molecular label.