Project description:Mustard (Brassica juncea) was tested for Turnip mosaic virus infection. Small RNA of the plant was extracted and converted to DNA according to Ho, T., et al. (2006) Journal of Virological Methods 136:217-223, with primers modified to contain 454 adapter nucleotide sequences. The DNA then passed quality control through Bioanalyzer and Nanodrop before sequenced by 454 Life Sciences. Keywords: siRNA
Project description:Cocksfoot grass (Dactylis glomerata) collected from Wytham, Oxford, UK, was tested for Cocksfoot streak virus infection. Small RNA of the grass was extracted and converted to DNA according to Ho, T., et al. (2008) Biochem Biophys Res Commun. 368:433-7, with primers modified to contain 454 adapter nucleotide sequences. The DNA then passed quality control through Bioanalyzer and Nanodrop before sequenced by 454 Life Sciences. Keywords: siRNA
Project description:<p>This dataset contains 10 Desorption Electrospray Ionization Mass Spectrometry Imaging (DESI-MSI) slides from cross-sections of surgically resected colorectal tissues with cancer and adjacent normal. The data is released with MassVision software platform for exploration and analysis of MSI data. Primary publication for citation: Jamzad et al., Analytical Chemistry 2025. Methods reference for acquisition conditions: Kaufmann et al., Metabolites 2023. Please cite BOTH papers when using this dataset, in whole or in part, in any publications or presentations.</p>
Project description:We have quantified gene expression in five tissues (brain, heart, kidney, liver and testis) from humans, chimpanzees and rhesus macaques using the Illumina NlaIII Digital Gene Expression (DGE) protocol. This dataset extends a previous microarray study by Khaitovich et al. (Khaitovich et al. 2005) with the rhesus macaque outgroup and complements other previously generated tissue transcriptome profiles from primates (Enard et al. 2002; Khaitovich et al. 2006; Somel et al. 2009; Babbitt et al. 2010; Blekhman et al. 2010; Wetterbom et al. 2010). contributor: Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, D-04103 Leipzig, Germany
Project description:<p>Rapid evaporative ionisation mass spectrometry (REIMS) has been demonstrated capable of bacterial speciation by differentiation of their metabolic/lipidomic profiles. Previous work has shown the use of hand-held probes [1,2], and this dataset makes use of a robotic sampling probe which allows for high-throughput analysis [3]. This dataset consists of 651 isolates spanning 38 bacterial (564 isolates) and 6 (87 isolates) fungal species. Data are provided as Waters .raw and .mzXML files, with taxonomic and sample culturing information.</p><p><br></p><p>[1] Strittmatter, N. et al., Analysis of intact bacteria using rapid evaporative ionisation mass spectrometry. <em>Chem. Commun.</em>, 2013, 49, 6188-6190. https://doi.org/10.1039/C3CC42015A</p><p>[2] Strittmatter, N. et al., Characterization and Identification of Clinically Relevant Microorganisms Using Rapid Evaporative Ionization Mass Spectrometry. <em>Anal. Chem.</em>, 2014, 86, 6555-6562. https://doi.org/10.1021/ac501075f</p><p>[3] Bolt, F. et al., Automated High-Throughput Identification and Characterization of Clinically Important Bacteria and Fungi using Rapid Evaporative Ionization Mass Spectrometry. <em>Anal. Chem</em>., 2016, 88, 9419-9426. https://doi.org:10.1021/acs.analchem.6b01016</p>