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Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex

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The article was published on 2016-05-22 and is currently open access. It has received 1792 citations till now. The article focuses on the topics: CRISPR.

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Using hiPSCs to model neuropsychiatric copy number variations (CNVs) has potential to reveal underlying disease mechanisms.

TL;DR: In this article, patient-derived human induced pluripotent stem cells (hiPSCs) were used to study rare variants of schizophrenia in the context of all other risk alleles.
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Deciphering cancer clues from blood

TL;DR: Genes in patient-derived CTCs encoding ribosomal proteins (RPs) that were associated with metastatic progression in mouse models, poor outcome in patients, and alterations in global translation are identified and could point to potential biomarkers or targets for future metastatic cancer therapies.
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The CRISPR revolution and its impact on cancer research

TL;DR: A brief overview of this exciting and fast-moving field of CRISPR-Cas9 research provides the opportunity to model cancer progression in vivo with an unprecedented degree of sophistication.
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A comprehensive overview of computational resources to aid in precision genome editing with engineered nucleases

TL;DR: This review provides a comprehensive overview of various databases, tools, web servers and resources for genome editing and compares their features and functionalities and describes tools that have been developed to analyse post-genome editing results.
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Innovations in CRISPR technology.

TL;DR: This review highlights innovations in the identification of unique CRISPR systems, as well as the re-engineering of the Cas9 protein for expanded function, that have enabled the diversification of theCRISPR genome engineering toolbox.
References
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Fast gapped-read alignment with Bowtie 2

TL;DR: Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

TL;DR: It is shown that accurate gene-level abundance estimates are best obtained with large numbers of short single-end reads, and estimates of the relative frequencies of isoforms within single genes may be improved through the use of paired- end reads, depending on the number of possible splice forms for each gene.
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A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity.

TL;DR: This study reveals a family of endonucleases that use dual-RNAs for site-specific DNA cleavage and highlights the potential to exploit the system for RNA-programmable genome editing.
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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

TL;DR: The results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents and the generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of ‘personalized’ therapeutic regimens.
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Molecular signatures database (MSigDB) 3.0

TL;DR: A new version of the database, MSigDB 3.0, is reported, with over 6700 gene sets, a complete revision of the collection of canonical pathways and experimental signatures from publications, enhanced annotations and upgrades to the web site.
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