Project description:Single cell proteomics data containing quantitative information of THP1 and U937 monocytes that were treated or not to undergo a macrophage-like differentiation. Dataset also contains "Mix" samples generated by mixing in equal proportions THP1 and U937 peptides in the single-cell range or by processing together 1 THP1 cell and 1 U937 cell. Samples run on the Orbitrap Fusion Lumos Tribrid and the Exploris 240 were acquired by the de Duve institute, UCLouvain. Samples run on the timsTOF SCP were acquired by the GIGA institute, ULiège.
Project description:Detection of species-specific proteotypic peptides for accurate and easy characterization of infectious non-tuberculous mycobacteria such as Mycobacterium kansasii is essential. Therefore, we carried out an in-depth global proteomic experiment using M. kansasii ATCC 12478 strain followed by proteome database search and spectral library generation. The lysate was subjected to in-solution proteomic sample preparation and fractionated using an offline C18 StageTip. Each fraction was acquired in technical triplicates using a 180 min data-dependent acquisition (DDA) method in Orbitrap Fusion Tribrid (Thermo Scientific) mass spectrometer. The resulting raw DDA data were searched against the M. kansasii proteome database using Proteome Discoverer and FragPipe. The resulting peptide spectrum matches were converted into a spectral library using BiblioSpec.
Project description:Detection of species-specific proteotypic peptides for accurate and easy characterization of infectious non-tuberculous mycobacteria such as Mycobacterium intracellulare is essential. Therefore, we carried out an in-depth global proteomic experiment using M. intracellulare ATCC 13950 strain followed by proteome database search and spectral library generation. The lysate was subjected to in-solution proteomic sample preparation and fractionated using an off-line C18 StageTip. Each fraction was acquired in technical triplicates using a 180 min data-dependent acquisition (DDA) method in Orbitrap Fusion Tribrid (Thermo Scientific) mass spectrometer. The resulting raw DDA data were searched against the M. intracellulare proteome database using Proteome Discoverer and FragPipe. The resulting peptide spectrum matches were converted into a spectral library using BiblioSpec.
Project description:Detection of species-specific proteotypic peptides for accurate and easy characterization of infectious non-tuberculous mycobacteria such as Mycobacterium fortuitum is essential. Therefore, we carried out an in-depth global proteomic experiment using M. fortuitum ATCC 6841 strain followed by a proteome database search and spectral library generation. The lysate was subjected to in-solution proteomic sample preparation and fractionated using an offline C18 StageTip. Each fraction was acquired in technical triplicates using a 180 min data-dependent acquisition (DDA) method in Orbitrap Fusion Tribrid (Thermo Scientific) mass spectrometer. The resulting raw DDA data were searched against the M. fortuitum proteome database using Proteome Discoverer and FragPipe. The resulting peptide spectrum matches were converted into a spectral library using BiblioSpec.
Project description:Detection of species-specific proteotypic peptides for accurate and easy characterization of infectious non-tuberculous mycobacteria such as Mycobacterium avium subsp. paratuberculosis is essential. Therefore, we conducted an in-depth global proteomic experiment using M. avium subsp. paratuberculosis ATCC 19698 (Map) strain followed by proteome database search and spectral library generation. The lysate was subjected to in-solution proteomic sample preparation and fractionated using an offline C18 StageTip. Each fraction was acquired in technical triplicates using a 180 min data-dependent acquisition (DDA) method in Orbitrap Fusion Tribrid (Thermo Scientific) mass spectrometer. The resulting raw DDA data were searched against the M. avium subsp. paratuberculosis proteome database using Proteome Discoverer and FragPipe. The resulting peptide spectrum matches were converted into a spectral library using BiblioSpec.
Project description:Detection of species-specific proteotypic peptides for accurate and easy characterization of infectious non-tuberculous mycobacteria such as Mycobacterium abscessus is essential. Therefore, we carried out an in-depth global proteomic experiment using M. abscessus ATCC 19977 strain followed by proteome database search and spectral library generation. The lysate was subjected for in-solution proteomic sample preparation and fractionated using an off-line C18 StageTip. Each fraction was acquired in technical triplicates using a 180 min data-dependent acquisition (DDA) method in Orbitrap Fusion Tribrid (Thermo Scientific) mass spectrometer. The resulting raw DDA data were searched against the M. abscessus proteome database using Proteome Discoverer and FragPipe. The resulting peptide spectrum matches were converted into a spectral library using BiblioSpec.
Project description:COVID-19 or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appeared first in Wuhan, Hubei, China, has emerged as a global health concern claiming millions of lives worldwide. Syrian golden hamster (Mesocricetus auratus) has emerged as a suitable model as when infected by SARS-CoV-2, manifests lung pathology resembling human COVID-19 patients. In this study, we employed a quantitative approach to study the proteomic changes in the SARS-CoV-2-infected lung tissue. The samples were analyzed using Orbitrap Fusion Tribrid mass spectrometer in triplicates and the data acquired was searched against Mesocricetus auratus protein database which resulted in the identification of nearly 2,000 non-redundant proteins. The outcome of this study will facilitate in discovery of potential candidate biomarkers for predicting disease course and warrants their further validation in human patient samples.
Project description:Protein abundance profiling using isobaric labeling is a well-established quantitative mass spectrometry technique. However, ratio distortion resulting from co-isolated and co-fragmented ions - commonly referred to as interference - remains a caveat of this technique. Tribrid mass spectrometers, such as the Orbitrap Fusion and the Orbitrap Fusion Lumos with a triple mass analyzer configuration, facilitate methods (namely SPS-MS3) that can help alleviate interference. Yet, few standards are available to measure interference. Here we introduce the TKO6 standard that assesses ion interference and is designed specifically for data acquired at low (unit) mass resolution. We use TKO6 to compare the degree of interference in MS2 versus MS3-based quantitation methods, data acquisition methods of different lengths, and ion trap-based TMT reporter ion analysis (IT-MS3). We show that the TKO6 standard is a valuable tool for assessing data quality and is particularly useful for benchmarking ion trap-based SPS-MS3 analyses.
Project description:Gene expression test data set from rat liver samples exposed to either 150, 1500 or 2000 mg/kg of APAP for 3, 6 or 24 hours. The Supplementary file (appended below) contains the mapping for the decoding of blinded samples. Keywords: Dose response, Time course, Microarray, Gene expression