Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Gaelen T. Hess is active.

Publication


Featured researches published by Gaelen T. Hess.


Nature Methods | 2016

Directed evolution using dCas9-targeted somatic hypermutation in mammalian cells

Gaelen T. Hess; Laure Frésard; Kyuho Han; Cameron H. Lee; Amy Li; Karlene A. Cimprich; Stephen B. Montgomery; Michael C. Bassik

Engineering and study of protein function by directed evolution has been limited by the technical requirement to use global mutagenesis or introduce DNA libraries. Here, we develop CRISPR-X, a strategy to repurpose the somatic hypermutation machinery for protein engineering in situ. Using catalytically inactive dCas9 to recruit variants of cytidine deaminase (AID) with MS2-modified sgRNAs, we can specifically mutagenize endogenous targets with limited off-target damage. This generates diverse libraries of localized point mutations and can target multiple genomic locations simultaneously. We mutagenize GFP and select for spectrum-shifted variants, including EGFP. Additionally, we mutate the target of the cancer therapeutic bortezomib, PSMB5, and identify known and novel mutations that confer bortezomib resistance. Finally, using a hyperactive AID variant, we mutagenize loci both upstream and downstream of transcriptional start sites. These experiments illustrate a powerful approach to create complex libraries of genetic variants in native context, which is broadly applicable to investigate and improve protein function.


Nature Biotechnology | 2017

Synergistic drug combinations for cancer identified in a CRISPR screen for pairwise genetic interactions

Kyuho Han; Edwin Jeng; Gaelen T. Hess; David W. Morgens; Amy Li; Michael C. Bassik

Identification of effective combination therapies is critical to address the emergence of drug-resistant cancers, but direct screening of all possible drug combinations is infeasible. Here we introduce a CRISPR-based double knockout (CDKO) system that improves the efficiency of combinatorial genetic screening using an effective strategy for cloning and sequencing paired single guide RNA (sgRNA) libraries and a robust statistical scoring method for calculating genetic interactions (GIs) from CRISPR-deleted gene pairs. We applied CDKO to generate a large-scale human GI map, comprising 490,000 double-sgRNAs directed against 21,321 pairs of drug targets in K562 leukemia cells and identified synthetic lethal drug target pairs for which corresponding drugs exhibit synergistic killing. These included the BCL2L1 and MCL1 combination, which was also effective in imatinib-resistant cells. We further validated this system by identifying known and previously unidentified GIs between modifiers of ricin toxicity. This work provides an effective strategy to screen synergistic drug combinations in high-throughput and a CRISPR-based tool to dissect functional GI networks.


Molecular Cell | 2017

Methods and Applications of CRISPR-Mediated Base Editing in Eukaryotic Genomes

Gaelen T. Hess; Josh Tycko; David Yao; Michael C. Bassik

The past several years have seen an explosion in development of applications for the CRISPR-Cas9 system, from efficient genome editing, to high-throughput screening, to recruitment of a range of DNA and chromatin-modifying enzymes. While homology-directed repair (HDR) coupled with Cas9 nuclease cleavage has been used with great success to repair and re-write genomes, recently developed base-editing systems present a useful orthogonal strategy to engineer nucleotide substitutions. Base editing relies on recruitment of cytidine deaminases to introduce changes (rather than double-stranded breaks and donor templates) and offers potential improvements in efficiency while limiting damage and simplifying the delivery of editing machinery. At the same time, these systems enable novel mutagenesis strategies to introduce sequence diversity for engineering and discovery. Here, we review the different base-editing platforms, including their deaminase recruitment strategies and editing outcomes, and compare them to other CRISPR genome-editing technologies. Additionally, we discuss how these systems have been applied in therapeutic, engineering, and research settings. Lastly, we explore future directions of this emerging technology.


Nature Communications | 2017

Genome-scale measurement of off-target activity using Cas9 toxicity in high-throughput screens

David W. Morgens; Michael Wainberg; Evan A. Boyle; Oana Ursu; Carlos L. Araya; C. Kimberly Tsui; Michael S. Haney; Gaelen T. Hess; Kyuho Han; Edwin Jeng; Amy Li; Michael Snyder; William J. Greenleaf; Anshul Kundaje; Michael C. Bassik

CRISPR-Cas9 screens are powerful tools for high-throughput interrogation of genome function, but can be confounded by nuclease-induced toxicity at both on- and off-target sites, likely due to DNA damage. Here, to test potential solutions to this issue, we design and analyse a CRISPR-Cas9 library with 10 variable-length guides per gene and thousands of negative controls targeting non-functional, non-genic regions (termed safe-targeting guides), in addition to non-targeting controls. We find this library has excellent performance in identifying genes affecting growth and sensitivity to the ricin toxin. The safe-targeting guides allow for proper control of toxicity from on-target DNA damage. Using this toxicity as a proxy to measure off-target cutting, we demonstrate with tens of thousands of guides both the nucleotide position-dependent sensitivity to single mismatches and the reduction of off-target cutting using truncated guides. Our results demonstrate a simple strategy for high-throughput evaluation of target specificity and nuclease toxicity in Cas9 screens.


Nature | 2017

The impact of rare variation on gene expression across tissues

Xin Li; Yungil Kim; Emily K. Tsang; Joe R. Davis; Farhan N. Damani; Colby Chiang; Gaelen T. Hess; Zachary Zappala; Benjamin J. Strober; Alexandra J. Scott; Amy Li; Andrea Ganna; Michael C. Bassik; Jason D. Merker; Ira M. Hall; Alexis Battle; Stephen B. Montgomery

Rare genetic variants are abundant in humans and are expected to contribute to individual disease risk. While genetic association studies have successfully identified common genetic variants associated with susceptibility, these studies are not practical for identifying rare variants. Efforts to distinguish pathogenic variants from benign rare variants have leveraged the genetic code to identify deleterious protein-coding alleles, but no analogous code exists for non-coding variants. Therefore, ascertaining which rare variants have phenotypic effects remains a major challenge. Rare non-coding variants have been associated with extreme gene expression in studies using single tissues, but their effects across tissues are unknown. Here we identify gene expression outliers, or individuals showing extreme expression levels for a particular gene, across 44 human tissues by using combined analyses of whole genomes and multi-tissue RNA-sequencing data from the Genotype-Tissue Expression (GTEx) project v6p release. We find that 58% of underexpression and 28% of overexpression outliers have nearby conserved rare variants compared to 8% of non-outliers. Additionally, we developed RIVER (RNA-informed variant effect on regulation), a Bayesian statistical model that incorporates expression data to predict a regulatory effect for rare variants with higher accuracy than models using genomic annotations alone. Overall, we demonstrate that rare variants contribute to large gene expression changes across tissues and provide an integrative method for interpretation of rare variants in individual genomes.


Nature | 2016

Translation readthrough mitigation

Joshua A. Arribere; Elif S. Cenik; Nimit Jain; Gaelen T. Hess; Cameron H. Lee; Michael C. Bassik; Andrew Fire

A fraction of ribosomes engaged in translation will fail to terminate when reaching a stop codon, yielding nascent proteins inappropriately extended on their C termini. Although such extended proteins can interfere with normal cellular processes, known mechanisms of translational surveillance are insufficient to protect cells from potential dominant consequences. Here, through a combination of transgenics and CRISPR–Cas9 gene editing in Caenorhabditis elegans, we demonstrate a consistent ability of cells to block accumulation of C-terminal-extended proteins that result from failure to terminate at stop codons. Sequences encoded by the 3′ untranslated region (UTR) were sufficient to lower protein levels. Measurements of mRNA levels and translation suggested a co- or post-translational mechanism of action for these sequences in C. elegans. Similar mechanisms evidently operate in human cells, in which we observed a comparable tendency for translated human 3′ UTR sequences to reduce mature protein expression in tissue culture assays, including 3′ UTR sequences from the hypomorphic ‘Constant Spring’ haemoglobin stop codon variant. We suggest that 3′ UTRs may encode peptide sequences that destabilize the attached protein, providing mitigation of unwelcome and varied translation errors.


Nature Genetics | 2018

A CRISPR-based screen for Hedgehog signaling provides insights into ciliary function and ciliopathies

David K. Breslow; Sascha Hoogendoorn; Adam R. Kopp; David W. Morgens; Brandon K. Vu; Margaret C. Kennedy; Kyuho Han; Amy Li; Gaelen T. Hess; Michael C. Bassik; James K. Chen; Maxence V. Nachury

Primary cilia organize Hedgehog signaling and shape embryonic development, and their dysregulation is the unifying cause of ciliopathies. We conducted a functional genomic screen for Hedgehog signaling by engineering antibiotic-based selection of Hedgehog-responsive cells and applying genome-wide CRISPR-mediated gene disruption. The screen can robustly identify factors required for ciliary signaling with few false positives or false negatives. Characterization of hit genes uncovered novel components of several ciliary structures, including a protein complex that contains δ-tubulin and ε-tubulin and is required for centriole maintenance. The screen also provides an unbiased tool for classifying ciliopathies and showed that many congenital heart disorders are caused by loss of ciliary signaling. Collectively, our study enables a systematic analysis of ciliary function and of ciliopathies, and also defines a versatile platform for dissecting signaling pathways through CRISPR-based screening.A CRISPR-based functional screen for Hedgehog-pathway factors identifies genes required for ciliary signaling and can be used to classify genetic disorders as ciliopathies.


Nature Genetics | 2017

Population- and individual-specific regulatory variation in Sardinia

Mauro Pala; Zachary Zappala; Mara Marongiu; Xin Li; Joe R. Davis; Roberto Cusano; Francesca Crobu; Kimberly R. Kukurba; Michael J. Gloudemans; Frederic Reinier; Riccardo Berutti; Maria Grazia Piras; Antonella Mulas; Magdalena Zoledziewska; Michele Marongiu; Elena P. Sorokin; Gaelen T. Hess; Kevin S. Smith; Fabio Busonero; Andrea Maschio; Maristella Steri; Carlo Sidore; Serena Sanna; Edoardo Fiorillo; Michael C. Bassik; Stephen Sawcer; Alexis Battle; John Novembre; Chris Jones; Andrea Angius

Genetic studies of complex traits have mainly identified associations with noncoding variants. To further determine the contribution of regulatory variation, we combined whole-genome and transcriptome data for 624 individuals from Sardinia to identify common and rare variants that influence gene expression and splicing. We identified 21,183 expression quantitative trait loci (eQTLs) and 6,768 splicing quantitative trait loci (sQTLs), including 619 new QTLs. We identified high-frequency QTLs and found evidence of selection near genes involved in malarial resistance and increased multiple sclerosis risk, reflecting the epidemiological history of Sardinia. Using family relationships, we identified 809 segregating expression outliers (median z score of 2.97), averaging 13.3 genes per individual. Outlier genes were enriched for proximal rare variants, providing a new approach to study large-effect regulatory variants and their relevance to traits. Our results provide insight into the effects of regulatory variants and their relationship to population history and individual genetic risk.


bioRxiv | 2017

A comprehensive portrait of cilia and ciliopathies from a CRISPR-based screen for Hedgehog signaling

David K. Breslow; Sascha Hoogendoorn; Adam R. Kopp; David W. Morgens; Brandon K. Vu; Kyuho Han; Amy Li; Gaelen T. Hess; Michael C. Bassik; James K. Chen; Maxence V. Nachury

The primary cilium organizes Hedgehog signaling, shapes embryonic development and is the unifying cause of the ciliopathies. We conducted a functional genomic screen for Hedgehog signaling by engineering antibiotic-based selection of Hedgehog-responsive cells and applying genome-wide CRISPR-mediated gene disruption. The screen robustly identifies factors required for ciliary signaling with few false positives or false negatives. Characterization of hit genes uncovers novel components of several ciliary structures including a protein complex containing ε- and δ- tubulin that is required for centriole maintenance. The screen also provides an unbiased tool for classifying ciliopathies and reveals that many forms of congenital heart defects are ciliopathies. Collectively, this screen enables a systematic analysis of ciliary function and of ciliopathies and also defines a versatile platform for dissecting signaling pathways through CRISPR-based screening.


Molecular Cell | 2017

Static and Dynamic DNA Loops form AP-1-Bound Activation Hubs during Macrophage Development

Douglas H. Phanstiel; Kevin Van Bortle; Damek V. Spacek; Gaelen T. Hess; Muhammad S. Shamim; Ido Machol; Michael I. Love; Erez Lieberman Aiden; Michael C. Bassik; Michael Snyder

Collaboration


Dive into the Gaelen T. Hess's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Amy Li

University of Sydney

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge