Biology subjects

Edwards, D.

Publications and source records attributed to Edwards, D..

3 recordsLinked to original sources

bioRxiv2018

RNAi screening of the tyrosine kinome in primary patient samples of acute myeloid leukemia

Targeted therapy has proven to be successful in improving outcomes across multiple cancer types. However, many challenges still remain for implementation of this strategy in most patient cohorts, especially with the challenges of identifying the specific mutations or abnormalities in a heterogeneous tumor that are functionally significant. Previously, we developed a functional screening assay, RNAi-assisted protein target identification (RAPID) technology, which evaluates the viability of tumor cells after exposure to siRNAs against members of the tyrosine kinome and NRAS/KRAS. Here, we publish the comprehensive results of this screen for 332 primary AML patient samples. Data from these screening efforts have already helped identify previously unknown therapeutic targets, and will continue to provide insights into better treatment strategies for these patients.

cancer biology↗

bioRxiv2017

Large-scale structural variation detection in subterranean clover subtypes using optical mapping validated at nucleotide level

Whole genome sequencing has been widely used to detect structural variations (SVs). However, the limited single molecule size makes it difficult to characterize large-scale SVs in a genome because they cannot fully cover such vast and complex regions. Recently, optical mapping in nanochannels has provided novel resolution to detect large-scale SVs by comparing the physical location of the nickase recognition sequence in genomes. Other than in humans, SVs discovered in plants by optical mapping have not been validated. To assess the accuracy of SV calling in plants by optical mapping, we selected two genetically diverse subspecies of the Trifolium model species, subterranean clover cvs. Daliak and Yarloop. The SVs discovered by BioNano optical mapping (BOM) were validated using Illumina short reads. In the analysis, BOM identified 12 large-scale regions containing deletions and 19 containing insertions in Yarloop. The 12 large-scale regions contained 71 small deletions when validated by Illumina short reads. The results suggest that BOM could detect the total size of deletions and insertions, but it could not precisely report the location and actual quantity of SVs in the genome. Nucleotide-level validation is crucial to confirm and characterize SVs reported by optical mapping. The accuracy of SV detection by BOM is highly dependent on the quality of reference genomes and the density of selected nickases.

bioinformatics↗

bioRxiv2017

Speed breeding: a powerful tool to accelerate crop research and breeding

The growing human population and a changing environment have raised significant concern for global food security, with the current improvement rate of several important crops inadequate to meet future demand [1]. This slow improvement rate is attributed partly to the long generation times of crop plants. Here we present a method called speed breeding, which greatly shortens generation time and accelerates breeding and research programs. Speed breeding can be used to achieve up to 6 generations per year for spring wheat (Triticum aestivum), durum wheat (T. durum), barley (Hordeum vulgare), chickpea (Cicer arietinum), and pea (Pisum sativum) and 4 generations for canola (Brassica napus), instead of 2-3 under normal glasshouse conditions. We demonstrate that speed breeding in fully-enclosed controlled-environment growth chambers can accelerate plant development for research purposes, including phenotyping of adult plant traits, mutant studies, and transformation. The use of supplemental lighting in a glasshouse environment allows rapid generation cycling through single seed descent and potential for adaptation to larger-scale crop improvement programs. Cost-saving through LED supplemental lighting is also outlined. We envisage great potential for integrating speed breeding with other modern crop breeding technologies, including high-throughput genotyping, genome editing, and genomic selection, accelerating the rate of crop improvement.

plant biology↗