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McKenna, A.

Publications and source records attributed to McKenna, A..

4 recordsLinked to original sources

Synthesizing Signaling Pathways from Temporal Phosphoproteomic Data

Advances in proteomics reveal that pathway databases fail to capture the majority of cellular signaling activity. Our mass spectrometry study of the dynamic epidermal growth factor (EGF) response demonstrates that over 89% of significantly (de)phosphorylated proteins are excluded from individual EGF signaling maps, and 63% are absent from all annotated pathways. We present a computational method, the Temporal Pathway Synthesizer (TPS), to discover missing pathway elements by modeling temporal phosphoproteomic data. TPS uses constraint solving to exhaustively explore all possible structures for a signaling pathway, eliminating structures that are inconsistent with protein-protein interactions or the observed phosphorylation event timing. Applied to our EGF response data, TPS connects 83% of the responding proteins to receptors and signaling proteins in EGF pathway maps. Inhibiting predicted active kinases supports the TPS pathway model. The TPS algorithm is broadly applicable and also recovers an accurate model of the yeast osmotic stress response.

bioinformatics

Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain by scGESTALT

Hundreds of cell types are generated during development, but their lineage relationships are largely elusive. Here we report a technology, scGESTALT, which combines cell type identification by single-cell RNA sequencing with lineage recording by cumulative barcode editing. We sequenced ~60,000 transcriptomes from the juvenile zebrafish brain and identified more than 100 cell types and marker genes. We engineered an inducible system that combines early and late barcode editing and isolated thousands of single-cell transcriptomes and their associated barcodes. The large diversity of edited barcodes and cell types enabled the generation of lineage trees with hundreds of branches. Inspection of lineage trajectories identified restrictions at the level of cell types and brain regions and helped uncover gene expression cascades during differentiation. These results establish scGESTALT as a new and widely applicable tool to simultaneously characterize the molecular identities and lineage histories of thousands of cells during development and disease.

developmental biology

FlashFry: a fast and flexible tool for large-scale CRISPR target design

FlashFry is a fast and flexible command-line tool for characterizing large numbers of CRISPR target sequences. While several CRISPR web application exist, genome-wide knockout studies, noncoding deletion scans, and other large-scale studies or methods development projects require a simple and lightweight framework that can quickly discover and score thousands of candidates guides targeting an arbitrary DNA sequence. With FlashFry, users can specify an unconstrained number of mismatches to putative off-targets, richly annotate discovered sites, and tag potential guides with commonly used on target and off-target scoring metrics. FlashFry runs at speeds comparable to widely used genome-wide sequence aligners, and output is provided as an easy-to-manipulate text file.\n\nAvailabilityFlashFry is written in Scala and bundled as a stand-alone Jar file, easily run on any system with an installed Java virtual machine (JVM). The tool is freely licensed under version 3 of the GPL, and code, documentation, and tutorials are available on the GitHub page: http://aaronmck.github.io/FlashFry/

bioinformatics

Paired CRISPR/Cas9 guide-RNAs enable high-throughput deletion scanning (ScanDel) of a Mendelian disease locus for functionally critical non-coding elements

The extent to which distal non-coding mutations contribute to Mendelian disease remains a major unknown in human genetics. Given that a genes in vivo function can be appropriately modeled in vitro, CRISPR/Cas9 genome editing enables the large-scale perturbation of distal non-coding regions to identify functional elements in their native context. However, early attempts at such screens have relied on one individual guide RNA (gRNA) per cell, resulting in sparse mutagenesis with minimal redundancy across regions of interest. To address this, we developed a system that uses pairs of gRNAs to program thousands of kilobase-scale deletions that scan across a targeted region in a tiling fashion (\"ScanDel\"). As a proof-of-concept, we applied ScanDel to program 4,342 overlapping 1- and 2- kilobase (Kb) deletions that tile a 206 Kb region centered on HPRT1, the gene underlying Lesch-Nyhan syndrome, with median 27-fold redundancy per base. Programmed deletions were functionally assayed by selecting for loss of HPRT1 function with 6-thioguanine. HPRT1 exons served as positive controls, and all were successfully identified as functionally critical by the screen. Remarkably, HPRT1 function appeared robust to deletion of any intergenic or deeply intronic non-coding region across the 206 Kb locus, indicating that proximal regulatory sequences are sufficient for its expression. A sparser mutagenesis screen of the same 206 Kb with individual gRNAs also failed to identify critical distal regulatory elements. Although our screen did find programmed deletions and individual gRNAs with putative functional consequences that targeted exon-proximal non-coding sequences (e.g. the promoter), long-read sequencing revealed that this signal was driven almost entirely by rare, unexpected deletions that extended into exonic sequence. These targeted validation experiments defined a small region surrounding the transcriptional start site as the only non-coding sequence essential to HPRT1 function. Overall, our results suggest that distal regulatory elements are not critical for HPRT1 expression, and underscore the necessity of comprehensive edited-locus genotyping for validating the results of CRISPR screens. The application of ScanDel to additional loci will enable more insight into the extent to which the disruption of distal non-coding elements contributes to Mendelian diseases. In addition, dense, redundant, large-scale deletion scanning with gRNA pairs will facilitate a deeper understanding of endogenous gene regulation in the human genome.

genomics