14 research outputs found

    Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies

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    Using a genome-scale, lentivirally delivered shRNA library, we performed massively parallel pooled shRNA screens in 216 cancer cell lines to identify genes that are required for cell proliferation and/or viability. Cell line dependencies on 11,000 genes were interrogated by 5 shRNAs per gene. The proliferation effect of each shRNA in each cell line was assessed by transducing a population of 11M cells with one shRNA-virus per cell and determining the relative enrichment or depletion of each of the 54,000 shRNAs after 16 population doublings using Next Generation Sequencing. All the cell lines were screened using standardized conditions to best assess differential genetic dependencies across cell lines. When combined with genomic characterization of these cell lines, this dataset facilitates the linkage of genetic dependencies with specific cellular contexts (e.g., gene mutations or cell lineage). To enable such comparisons, we developed and provided a bioinformatics tool to identify linear and nonlinear correlations between these features

    RNA Targeting by Functionally Orthogonal Type VI-A CRISPR-Cas Enzymes.

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    CRISPR adaptive immunity pathways protect prokaryotic cells against foreign nucleic acids using CRISPR RNA (crRNA)-guided nucleases. In type VI-A CRISPR-Cas systems, the signature protein Cas13a (formerly C2c2) contains two separate ribonuclease activities that catalyze crRNA maturation and ssRNA degradation. The Cas13a protein family occurs across different bacterial phyla and varies widely in both protein sequence and corresponding crRNA sequence conservation. Although grouped phylogenetically together, we show that the Cas13a enzyme family comprises two distinct functional groups that recognize orthogonal sets of crRNAs and possess different ssRNA cleavage specificities. These functional distinctions could not be bioinformatically predicted, suggesting more subtle co-evolution of Cas13a enzymes. Additionally, we find that Cas13a pre-crRNA processing is not essential for ssRNA cleavage, although it enhances ssRNA targeting for crRNAs encoded internally within the CRISPR array. We define two Cas13a protein subfamilies that can operate in parallel for RNA detection both in bacteria and for diagnostic applications

    Identification of a Minimal Peptide Tag for <i>in Vivo</i> and <i>in Vitro</i> Loading of Encapsulin

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    The encapsulation of enzymes and other proteins within a proteinaceous shell has been observed in many bacteria and archaea, but the function and utility of many such compartments are enigmatic. Efforts to study these functions have been complicated by the size and complexity of traditional protein compartments. One potential system for investigating the effect of compartmentalization is encapsulin, a large and newly discovered class of protein shells that are typically composed of two proteins: a protomer that assembles into the icosahedral shell and a cargo protein packaged inside. Encapsulins are some of the simplest known protein shell systems and readily self-assemble <i>in vivo</i>. Systematic characterization of the effects of compartmentalization requires the ability to load a wide range of cargo proteins. Here, we demonstrate that foreign cargo can be loaded into the encapsulin from <i>Thermotoga maritima</i> both <i>in vivo</i> and <i>in vitro</i> by fusion of the cargo protein with a short C-terminal peptide present in the native cargo. To facilitate biochemical characterization, we also develop a simple and rapid purification protocol and demonstrate the thermal and pH stability of the shell. Efforts to study the biophysical effects of protein encapsulation have been problematic in complex compartments, but the simplicity of assembling and loading encapsulin makes it an ideal system for future experiments exploring the effects of encapsulation on proteins
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