Abstract: The disclosed invention is related to a universal strand-specific protocol for the sequencing preparation of all classes of RNA. The protocol allows for sequencing for dozens to more than thousands of samples simultaneously. Specifically, the disclosed invention is a method for parallel sequencing target RNA from samples from multiple sources while maintaining source identification.

Abstract: Disclosed is an in situ method for detecting spatial proximity relationships between nucleic acid sequences, such as DNA, in a cell. The method includes: providing a sample of one or more cells comprising nucleic acids; fragmenting the nucleic acids present in the cells that leaves 5? overhanging ends; filling in the overhanging ends with at least one labeled nucleotide; joining the filled in end of the fragmented nucleic acids that are in close physical proximity to create one or more end joined nucleic acid fragments having a junction; isolating the one or more end joined nucleic acid fragments using the labeled nucleotide; and determining the sequence at the junction of the one or more end joined nucleic acid fragments.

Abstract: Disclosed is an in situ method for detecting spatial proximity relationships between nucleic acid sequences, such as DNA, in a cell. The method includes: providing a sample of one or more cells comprising nucleic acids; fragmenting the nucleic acids present in the cells that leaves 5? overhanging ends; filling in the overhanging ends with at least one labeled nucleotide; joining the filled in end of the fragmented nucleic acids that are in close physical proximity to create one or more end joined nucleic acid fragments having a junction; isolating the one or more end joined nucleic acid fragments using the labeled nucleotide; and determining the sequence at the junction of the one or more end joined nucleic acid fragments.

Abstract: The present disclosure relates to compositions and methods for the diagnosis and treatment or prevention of proteinopathies, particularly MUC1-associated kidney disease (ADTKD-MUC1 or MKD), Retinitis Pigmentosa (e.g., due to rhodopsin mutations), autosomal dominant tubulo-interstitial kidney disease due to UMOD mutation(s) (ADTKD-UMOD), and other forms of toxic proteinopathies resulting from mutant protein accumulation in the ER or other secretory pathway compartments and/or vesicles, among others. The disclosure also identifies and provides TMED9-binding agents as capable of treating or preventing proteinopathies of the secretory pathway, and further provides methods for identifying additional TMED9-binding agents.

Abstract: The present disclosure relates to compositions and methods for the diagnosis and treatment or prevention of proteinopathies, particularly MUC1-associated kidney disease (ADTKD-MUC1 or MKD), Retinitis Pigmentosa (e.g., due to rhodopsin mutations), autosomal dominant tubulo-interstitial kidney disease due to UMOD mutation(s) (ADTKD-UMOD), and other forms of toxic proteinopathies resulting from mutant protein accumulation in the ER or other secretory pathway compartments and/or vesicles, among others. The disclosure also identifies and provides TMED9-binding agents as capable of treating or preventing proteinopathies of the secretory pathway, and further provides methods for identifying additional TMED9-binding agents.

Abstract: The present disclosure relates to compositions and methods for the diagnosis and treatment or prevention of proteinopathies, particularly MUC1-associated kidney disease (ADTKD-MUC1 or MKD), Retinitis Pigmentosa (e.g., due to rhodopsin mutations), autosomal dominant tubulo-interstitial kidney disease due to UMOD mutation(s) (ADTKD-UMOD), and other forms of toxic proteinopathies resulting from mutant protein accumulation in the ER or other secretory pathway compartments and/or vesicles, among others. The disclosure also identifies and provides TMED9-binding agents as capable of treating or preventing proteinopathies of the secretory pathway, and further provides methods for identifying additional TMED9-binding agents.

Abstract: The present invention generally relates to libraries, kits, methods, applications and screens used in functional genomics that focus on gene function in a cell and that may use vector systems and other aspects related to Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas systems and components thereof. The present invention also relates to rules for making potent single guide RNAs (sgRNAs) for use in CRISPR-Cas systems. Provided are genomic libraries and genome wide libraries, kits, methods of knocking out in parallel every gene in the genome, methods of selecting individual cell knock outs that survive under a selective pressure, methods of identifying the genetic basis of one or more medical symptoms exhibited by a patient, and methods for designing a genome-scale sgRNA library.

Abstract: The present disclosure relates to compositions and methods for the diagnosis and treatment or prevention of proteinopathies, particularly MUC1-associated kidney disease (ADTKD-MUC1 or MKD), Retinitis Pigmentosa (e.g., due to rhodopsin mutations), autosomal dominant tubulo-interstitial kidney disease due to UMOD mutation(s) (ADTKD-UMOD), and other forms of toxic proteinopathies resulting from mutant protein accumulation in the ER or other secretory pathway compartments and/or vesicles, among others. The disclosure also identifies and provides TMED9-binding agents as capable of treating or preventing proteinopathies of the secretory pathway, and further provides methods for identifying additional TMED9-binding agents.

Abstract: The disclosed Hi-C protocol can identify genomic loci that are spatially co-located in vivo. These spatial co-locations may include, but are not limited to, intrachromosomal interactions and/or interchromosomal interactions. Hi-C techniques may be applied to many different scales of interest. For example, on a large scale, Hi-C techniques can be used to identify long-range interactions between distant genomic loci.

Abstract: The disclosed Hi-C protocol can identify genomic loci that are spatially co-located in vivo. These spatial co-locations may include, but are not limited to, intrachromosomal interactions and/or interchromosomal interactions. Hi-C techniques may be applied to many different scales of interest. For example, on a large scale, Hi-C techniques can be used to identify long-range interactions between distant genomic loci.

Abstract: Embodiments provide a method for sequencing and assembling long DNA genomes comprising generating a 3D contact map of chromatin loop structures in a target genome, the 3D contact map of chromatin loop structures defining spatial proximity relationships between genomic loci in the genome, and deriving a linear genomic nucleic acid sequence from the 3D map of chromatin loop structures

Abstract: Provided herein includes a method for generating an error-corrected genome assembly for an organism comprising: generating a genomic contact map derived from a DNA proximity ligation assay conducted on one or more samples from the organism or a closely related species; superimposing a reference assembled genome derived from whole genome sequencing of one or more samples from the organism on top of the genomic contact map using computer software; correcting errors in the reference assembled genome through a computer user interface to obtain a corrected assembly file, wherein errors in the reference assembled genome are visualized by observing aberrant contacts in the genomic contact map; and applying the corrected assembly file to the reference assembled genome.

Abstract: The disclosed Hi-C protocol can identify genomic loci that are spatially co-located in vivo. These spatial co-locations may include, but are not limited to, intrachromosomal interactions and/or interchromosomal interactions. Hi-C techniques may be applied to many different scales of interest. For example, on a large scale, Hi-C techniques can be used to identify long-range interactions between distant genomic loci.

Abstract: Disclosed is an in situ method for detecting spatial proximity relationships between nucleic acid sequences, such as DNA, in a cell. The method includes: providing a sample of one or more cells comprising nucleic acids; fragmenting the nucleic acids present in the cells that leaves 5? overhanging ends; filling in the overhanging ends with at least one labeled nucleotide; joining the filled in end of the fragmented nucleic acids that are in close physical proximity to create one or more end joined nucleic acid fragments having a junction; isolating the one or more end joined nucleic acid fragments using the labeled nucleotide; and determining the sequence at the junction of the one or more end joined nucleic acid fragments.

Abstract: The disclosed Hi-C protocol can identify genomic loci that are spatially co-located in vivo. These spatial co-locations may include, but are not limited to, intrachromosomal interactions and/or interchromosomal interactions. Hi-C techniques may be applied to many different scales of interest. For example, on a large scale, Hi-C techniques can be used to identify long-range interactions between distant genomic loci.

Abstract: The disclosed Hi-C protocol can identify genomic loci that are spatially co-located in vivo. These spatial co-locations may include, but are not limited to, intrachromosomal interactions and/or interchromosomal interactions. Hi-C techniques may be applied to many different scales of interest. For example, on a large scale, Hi-C techniques can be used to identify long-range interactions between distant genomic loci.

Abstract: The disclosed Hi-C protocol can identify genomic loci that are spatially co-located in vivo. These spatial co-locations may include, but are not limited to, intrachromosomal interactions and/or interchromosomal interactions. Hi-C techniques may be applied to many different scales of interest. For example, on a large scale, Hi-C techniques can be used to identify long-range interactions between distant genomic loci.

Abstract: The present invention generally relates to libraries, kits, methods, applications and screens used in functional genomics that focus on gene function in a cell and that may use vector systems and other aspects related to Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas systems and components thereof. The present invention also relates to rules for making potent single guide RNAs (sgRNAs) for use in CRISPR-Cas systems. Provided are genomic libraries and genome wide libraries, kits, methods of knocking out in parallel every gene in the genome, methods of selecting individual cell knock outs that survive under a selective pressure, methods of identifying the genetic basis of one or more medical symptoms exhibited by a patient, and methods for designing a genome-scale sgRNA library.

Abstract: The disclosed Hi-C protocol can identify genomic loci that are spatially co-located in vivo. These spatial co-locations may include, but are not limited to, intrachromosomal interactions and/or interchromosomal interactions. Hi-C techniques may be applied to many different scales of interest. For example, on a large scale, Hi-C techniques can be used to identify long-range interactions between distant genomic loci.

Abstract: XML transforms may be automatically generated by separating a standard process that can produce features of many transforms, and a variable process that is tailored to the features of a particular transform. The standard process can be reused with any number of variable processes, while variable processes and corresponding input files may be tailor-made for generating a particular transform. The combined processes operate on an input file to create an output transform. An input file contains any number of data patterns from a source file and the corresponding data patterns from a new file that the source file is to be converted into. The automated process can use the data from such an input file to create a legitimate transform. The input file can also include custom transforms that are pre-made for incorporation into an output transform.