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Li, J. X.

Publications and source records attributed to Li, J. X..

2 recordsLinked to original sources

Signalome-wide mapping of the NFκB pathway in T-cells reveals novel targets for immunotherapy

Cell signalling networks govern fundamental cellular processes yet remain incompletely defined. Moreover, what is known is biased toward a limited subset of well-characterised components. Phosphoprotein-based interrogation methods, including mass spectrometry and targeted phosphosite panels, have limited utility in physiological settings dependent on cell-cell interactions because the signalling fluxes can be difficult to detect despite producing robust functional responses. Here we developed a perturbation-based experimental framework that infers signalling pathway architecture using quantitative functional outputs rather than direct measurements of effector state, e.g., phosphorylation levels. Using antigen-specific, NF-{kappa}B-GFP reporter-expressing transformed T-cells co-cultured with cellular targets, we performed an arrayed CRISPR-Cas9 screen targeting a curated signalome of kinases, phosphatases, adaptor and scaffolding proteins, totalling 706 genes. Quantitative effect-size profiling recovered canonical T-cell receptor regulators and revealed unequal, family-specific patterns of control over NF-{kappa}B activation. Comparing T-cell stimulation with low- and high-affinity antigen uncovered signal-strength-dependent buffering of proximal signalling nodes, exemplified by reduced sensitivity to perturbation of LCK under high-intensity stimulation. Targeted perturbation in primary human CD8 T-cells validated our findings and identified TRRAP and CTDSPL2 as negative regulators of T-cell effector output, whose disruption enhanced cytotoxicity, degranulation, and cytokine production in both polyclonal and TCR-engineered T cells. Together, these results establish a scalable strategy for mapping signalling pathway architecture in the setting of physiological T-cell activation.

immunology↗

LongStitch: High-quality genome assembly correction and scaffolding using long reads

BackgroundGenerating high-quality de novo genome assemblies is foundational to the genomics study of model and non-model organisms. In recent years, long-read sequencing has greatly benefited genome assembly and scaffolding, a process by which assembled sequences are ordered and oriented through the use of long-range information. Long reads are better able to span repetitive genomic regions compared to short reads, and thus have tremendous utility for resolving problematic regions and helping generate more complete draft assemblies. Here, we present LongStitch, a scalable pipeline that corrects and scaffolds draft genome assemblies exclusively using long reads. ResultsLongStitch incorporates multiple tools developed by our group and runs in up to three stages, which includes initial assembly correction (Tigmint-long), followed by two incremental scaffolding stages (ntLink and ARKS-long). Tigmint-long and ARKS-long are misassembly correction and scaffolding utilities, respectively, previously developed for linked reads, that we adapted for long reads. Here, we describe the LongStitch pipeline and introduce our new long-read scaffolder, ntLink, which utilizes lightweight minimizer mappings to join contigs. LongStitch was tested on short and long-read assemblies of three different human individuals using corresponding nanopore long-read data, and improves the contiguity of each assembly from 2.0-fold up to 304.6-fold (as measured by NGA50 length). Furthermore, LongStitch generates more contiguous and correct assemblies compared to state-of-the-art long-read scaffolder LRScaf in most tests, and consistently runs in under five hours using less than 23GB of RAM. ConclusionsDue to its effectiveness and efficiency in improving draft assemblies using long reads, we expect LongStitch to benefit a wide variety of de novo genome assembly projects. The LongStitch pipeline is freely available at https://github.com/bcgsc/longstitch.

bioinformatics↗