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Greally, J. M.

Publications and source records attributed to Greally, J. M..

5 recordsLinked to original sources

AptCompare: optimized de novo motif discovery of RNA aptamers via HTS-SELEX

SummaryHigh-Throughput Sequencing can enhance the analysis of aptamer libraries generated by the Systematic Evolution of Ligands by EXponential enrichment (HTS-SELEX). Robust analysis of the resulting sequenced rounds is best implemented by determining a ranked consensus of reads following the processing by multiple aptamer detection algorithms. Whilst several such approaches have been developed to this end, their installation and implementation is problematic. We developed AptCompare, a cross-platform program that combines six of the most widely used analytical approaches for the identification of RNA aptamer motifs and uses a simple weighted ranking to order the candidate aptamers, all driven within the same GUI- enabled environment. We demonstrate AptCompares performance by identifying the top-ranked candidate aptamers from a previously published selection experiment in our laboratory, with follow-up bench assays demonstrating good correspondence between the sequences rankings and their binding affinities.\n\nAvailability and ImplementationThe source code and pre-built virtual machine images are freely available at https://bitbucket.org/shiehk/aptcompare.

bioinformatics

Insights from deconvolution of cell subtype proportions enhance the interpretation of functional genomic data.

Cell subtype proportional differences between samples significantly contribute to variation of functional genomic properties such as gene expression or DNA methylation. Current analytical approaches typically deal with cell subtype proportion influences as a nuisance variable to be eliminated. Here we demonstrate how harvesting information about cell subtype proportions from functional genomics data provides insights into the cellular events in human phenotypes. We note a striking concordance between cell subtype proportions estimated from orthogonal genome-wide assays, and demonstrate the potential for single-cell RNA-seq data to be used in tissues for which reference cell subtype functional genomic datasets are not available. Taken together, our results confirm the importance of estimating cell subtype proportions when testing a model of cellular reprogramming in human phenotypic association studies, and the value of simultaneously testing for systematic cell subtype proportional alterations as a separate phenotypic association, gaining extra insights from functional genomic studies.

genomics

WHOLE GENOME BISULPHITE SEQUENCING USING THE ILLUMINA HISEQ X SYSTEM

The Illumina HiSeq X platform has helped to reduce the cost of whole genome sequencing substantially, but its application for bisulphite sequencing is not straightforward. We describe the optimization of a library preparation and sequencing approach that maximizes the yield and quality of sequencing, and the elimination of a previously unrecognized artefact affecting several percent of bisulphite sequencing reads.

genomics

Mosaic Chromosomal Aneuploidy Detection By Sequencing (MAD-seq)

Current approaches to detect and characterize mosaic chromosomal aneuploidy are limited by sensitivity, efficiency, cost or the need to culture cells. We describe a combination of a new sequencing-based assay and a novel analytical approach that allows low levels of mosaicism for chromosomal aneuploidy to be detected, assigned to a meiotic or mitotic origin, and quantified as a proportion of the cells in the sample. We show results from a multi-ethnic assay design that is suitable for populations of diverse racial and ethnic origins, and how the MADSEQ analytical approach applied to exome sequencing data reveals unrecognized aneuploidy in 1000 Genomes samples and cell lines from public repositories. We have made the assay design and analytical software open for unrestricted use, with the goal that it can be applied in clinical samples to allow new insights into the unrecognized prevalence of mosaic chromosomal aneuploidy and its phenotypic associations.

genetics

Intragenomic Redistribution Of Host Transcription Factor Binding With Toxoplasma gondii Infection

The intracellular pathogen Toxoplasma gondii modifies a number of host cell processes. The mechanisms by which T. gondii alters host gene expression are incompletely understood. This study focuses on how the regulators of gene expression in human host cells respond to T. gondii 24 hours following infection to cause specific patterns of transcriptional dysregulation. The most striking finding was the altered landscape of transposase-accessible chromatin by infection. We found both gains and losses of loci of open chromatin enriched in proximity to transcriptionally altered genes. Both DNA sequence motif analysis at the loci changing chromatin accessibility and network analysis of the genes with transcription and regulatory changes implicate a central role for the AP-1 transcription factor. We validated the redistribution of AP-1 in the host genome using chromatin immunoprecipitation studies of the c-Fos component of AP-1. As infection with T. gondii is associated with the cell failing to progress through the cell cycle, all of the changes observed occur in the absence of cell division and within 24 hours, an insight into the dynamism of these transcriptional regulatory events. We conclude that T. gondii infection influences transcriptional regulation through transcription factor re-targeting to modify the cis-regulatory landscape of the host nucleus.\n\nAUTHOR SUMMARYThe complex interactions between the intracellular pathogen Toxoplasma gondii and the host cell manifest as expression changes of host genes. T. gondiis secreted effectors have been extensively studied and include factors that influence the properties of transcription factors, resulting in post-translational modifications and changes in intracellular localization. To gain insights into how T. gondii exerts specific influences on host transcriptional regulation, we used genome-wide approaches to study gene expression, cytosine modifications, and chromatin structure of the host cell 24 hours after infection. The greatest insights were gained from the mapping of loci of transposase-accessible chromatin, revealing a consistently altered pattern of a subset of loci becoming inaccessible, with the simultaneous acquisition of a new set of infection-associated loci of open chromatin. The sequences at these loci were enriched for certain transcription factor binding motifs, in particular that of AP-1, the transcription factor formed by c-Jun and c-Fos heterodimers. Network analysis revealed a central role for c-Jun and c-Fos in the infection-associated perturbations, prompting a chromatin immunoprecipitation approach that confirmed the redistribution of c-Fos in infected cells. We conclude that a T. gondii infection leads to an intragenomic redistribution of host transcription factor binding, with resulting effects on host gene expression.

genomics