Biology subjects

O'Neill, M.

Publications and source records attributed to O'Neill, M..

3 recordsLinked to original sources

bioRxiv2018

Reporter Ion Data Analysis Reduction (R.I.D.A.R) for isobaric proteomics quantification studies

Isobaric labeling-based relative quantification techniques such as iTRAQ and TMT were introduced 15 years ago and are now nearly ubiquitous in shotgun proteomics labs around the world. The methods for data processing in these experiments has changed little since inception, with peptide database searching of all MS/MS spectra occurring concurrent or asynchronous to the quantification of the reporter fragment regions. In this study we present an alternative method for data processing whereby the reporter ion region of all MS/MS spectra are first examined and spectra that are not quantitatively interesting to the end user are discarded. The remaining MS/MS spectra that are retained can then be more rapidly searched for computationally expensive database alterations such as post-translational modifications and single amino acid variations in more practical time. We have termed this method Reporter Ion Data Analysis Reduction (RIDAR). To demonstrate the application of RIDAR, we reprocess a recent CPTAC 2 study containing approximately 7.8 million MS/MS spectra. Post RIDAR processing we can search this public dataset versus a human canonical FASTA database and a compiled proteogenomic database of over 875,000 known cancer mutations in a single day on a standard desktop computer, a time reduction of 85% compared to the conventional workflow. With the rapidly increasing size and density of shotgun proteomics data files, RIDAR facilitates rapid analysis of large proteomics datasets for researchers without access to high performance computational resources.\n\nAbstract Graphic\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC=\"FIGDIR/small/437210_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (14K):\norg.highwire.dtl.DTLVardef@1bcf00eorg.highwire.dtl.DTLVardef@134510eorg.highwire.dtl.DTLVardef@1b594b4org.highwire.dtl.DTLVardef@35e268_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2017

A fine-tuned vector-parasite dialogue in tsetse’s cardia determines peritrophic matrix integrity and trypanosome transmission success

Arthropod vectors have multiple physical and immunological barriers that impede the development and transmission of parasites to new vertebrate hosts. These barriers include the peritrophic matrix (PM), a chitinous barrier that separates the blood bolus from the midgut epithelia and inturn, modulates vector-microbiota interactions. In tsetse flies, a sleeve-like PM is continuously produced by the cardia organ located at the fore- and midgut junction. African trypanosomes, Trypanosoma brucei, must bypass the PM twice; first to colonize the midgut and secondly to reach the salivary glands (SG), to complete their transmission cycle in tsetse. However, not all flies with midgut infections develop mammalian transmissible SG infections - the reasons for which are unclear. Here, we used transcriptomics, microscopy and functional genomics analyses to understand the factors that regulate parasite migration from midgut to SG. In flies with midgut infections only, parasites fail to cross the PM as they are eliminated from the cardia by reactive oxygen intermediates (ROIs) - albeit at the expense of collateral cytotoxic damage to the cardia. In flies with midgut and SG infections, expression of genes encoding components of the PM is reduced in the cardia, and structural integrity of the PM barrier is compromised. Under these circumstances trypanosomes traverse through the newly secreted and compromised PM. The process of PM attrition that enables the parasites to re-enter into the midgut lumen is apparently mediated by components of the parasites residing in the cardia. Thus, a fine-tuned dialogue between tsetse and trypanosomes at the cardia determines the outcome of PM integrity and trypanosome transmission success.\n\nAuthor summaryInsects are responsible for transmission of parasites that cause deadly diseases in humans and animals. Understanding the key factors that enhance or interfere with parasite transmission processes can result in new control strategies. Here, we report that a proportion of tsetse flies with African trypanosome infections in their midgut can prevent parasites from migrating to the salivary glands, albeit at the expense of collateral damage. In a subset of flies with gut infections, the parasites manipulate the integrity of a midgut barrier, called the peritrophic matrix, and reach the salivary glands for transmission to the next mammal. Either targeting parasite manipulative processes or enhancing peritrophic matrix integrity could reduce parasite transmission.

microbiology↗

bioRxiv2017

Finite-sample genome-wide regression p-values (GWRPV) with a non-normally distributed phenotype

This paper derives the exact finite-sample p-value for univariate regression of a quantitative phenotype on individual genome markers, relying on a mixture distribution for the dependent variable. The p-value estimator conventionally used in existing genome-wide association study (GWAS) regressions assumes a normally-distributed dependent variable, or relies on a central limit theorem based approximation. The central limit theorem approximation is unreliable for GWAS regression p-values, and measured phenotypes often have markedly non-normal distributions. A normal mixture distribution better fits observed phenotypic variables, and we provide exact small-sample p-values for univariate GWAS regressions under this flexible distributional assumption. We illustrate the adjustment using a years-of-education phenotypic variable.

genomics↗