Uncovering the functional diversity of rare CRISPR-Cas systems with deep terascale clustering.

Microbial systems underpin many biotechnologies, including CRISPR, but the exponential growth of sequence databases makes it difficult to find previously unidentified systems. In this work, we develop the fast locality-sensitive hashing-based clustering (FLSHclust) algorithm, which performs deep clustering on massive datasets in linearithmic time. We incorporated FLSHclust into a CRISPR discovery pipeline and identified 188 previously unreported CRISPR-linked gene modules, revealing many additional biochemical functions coupled to adaptive immunity. We experimentally characterized three HNH nuclease-containing CRISPR systems, including the first type IV system with a specified interference mechanism, and engineered them for genome editing. We also identified and characterized a candidate type VII system, which we show acts on RNA. This work opens new avenues for harnessing CRISPR and for the broader exploration of the vast functional diversity of microbial proteins.

cGLRs are a diverse family of pattern recognition receptors in innate immunity.

Cyclic GMP-AMP synthase (cGAS) is an enzyme in human cells that controls an immune response to cytosolic DNA. Upon binding DNA, cGAS synthesizes a nucleotide signal 2'3'-cGAMP that activates STING-dependent downstream immunity. Here, we discover that cGAS-like receptors (cGLRs) constitute a major family of pattern recognition receptors in innate immunity. Building on recent analysis in Drosophila, we identify >3,000 cGLRs present in nearly all metazoan phyla. A forward biochemical screening of 150 animal cGLRs reveals a conserved mechanism of signaling including response to dsDNA and dsRNA ligands and synthesis of isomers of the nucleotide signals cGAMP, c-UMP-AMP, and c-di-AMP. Combining structural biology and in vivo analysis in coral and oyster animals, we explain how synthesis of distinct nucleotide signals enables cells to control discrete cGLR-STING signaling pathways. Our results reveal cGLRs as a widespread family of pattern recognition receptors and establish molecular rules that govern nucleotide signaling in animal immunity.

Experimental and mathematical evidence that thrombin-binding aptamers form a 1 aptamer:2 protein complex.

The thrombin-binding 15mer and 29mer ssDNA aptamers are a widely used model system. Despite their ubiquity, controversies persist regarding the nature of the aptamer-protein interactions. Reported affinities vary widely; the role of metal ions in binding is unclear; the structure of the complex is contested. We interrogated the effects of instrument, buffer, and mathematical model on apparent affinities of thrombin aptamers for their target. Instrumental method had a pronounced effect on affinity constants for the 15mer and marginal effect the apparent affinity of the 29mer. Buffer composition and ionic environment did not have significant effects. Affinity probe capillary electrophoresis experiments revealed distinct peaks from samples of 29mer aptamer and thrombin, supporting the model of a 1 aptamer:2 protein complex. Fits to high quality data with five mathematical models further support this stoichiometry, as the binding of both aptamers was best described by the Hill equation with Hill coefficients > 1. Our results indicate that the instrumental method and mathematical model influence apparent affinity of thrombin aptamers and that both aptamers bind thrombin in a 1 aptamer: 2 protein stoichiometry through an induced fit mechanism.

Selection of DNA aptamers for ovarian cancer biomarker HE4 using CE-SELEX and high-throughput sequencing.

The development of novel affinity probes for cancer biomarkers may enable powerful improvements in analytical methods for detecting and treating cancer. In this report, we describe our use of capillary electrophoresis (CE) as the separation mechanism in the process of selecting DNA aptamers with affinity for the ovarian cancer biomarker HE4. Rather than the conventional use of cloning and sequencing as the last step in the aptamer selection process, we used high-throughput sequencing on an Illumina platform. This data-rich approach, combined with a bioinformatics pipeline based on freely available computational tools, enabled the entirety of the selection process-and not only its endpoint-to be characterized. Affinity probe CE and fluorescence anisotropy assays demonstrate the binding affinity of a set of aptamer candidates identified through this bioinformatics approach. Graphical Abstract A population of candidate aptamers is sequenced on an Illumina platform, enabling the process by which aptamers are selected over multiple SELEX rounds to be characterized. Bioinformatics tools are used to identify enrichment of selected aptamers and groupings into clusters based on sequence and structural similarity. A subset of sequenced aptamers may be intelligently chosen for in vitro testing.