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226 results for “proteomics data”
Data from: A proteomic method to extract, concentrate, digest, and enrich peptides from fossils with colored (humic) substances for mass spectrometry analyses
Humic substances are break-down products of decaying organic matter that co-extract with proteins from fossils. These substances are difficult to separate from proteins in solution, and interfere with analyses of fossil proteomes. We introduce a method combining multiple recent advances in extraction protocols to both concentrate proteins from fossil specimens with high humic content, and remove humics, producing clean samples easily analyzed by mass spectrometry (MS). This method includes: 1) a non-demineralizing extraction buffer that eliminates protein loss during the demineralization step in routine methods; 2) filter-aided sample preparation (FASP) of peptides, which concentrates and digests extracts in one filter, allowing the separation of large humics after digestion; 3) centrifugal stage-tipping, which further clarifies and concentrates samples in a uniform process performed simultaneously on multiple samples. We apply this method to a moa fossil (~800¬–1000 yr) dark with humic content, generating colorless samples and enabling the detection of more proteins with greater sequence coverage than previous MS analyses on this same specimen. This workflow allows analyses of low-abundance proteins in fossils containing humics, and thus may widen the range of extinct organisms and regions of their proteomes we can explore with MS.
Data from: Evidence for local adaptation to extreme heat across populations of a widespread tree from quantitative proteomics
1. Heat waves are increasing in frequency and intensity globally with negative consequences for biological function. Assessing the effect of extreme heat on species requires an understanding of their adaptive capacity for mitigating physiological damage. Where long-term exposure to hot conditions in natural populations provides sufficient selection pressure, populations should exhibit signals of adaptive thermotolerance to temperature extremes. 2. Using quantitative proteomics, we tested this idea in the widespread and commercially-important tree species Eucalyptus grandis (Flooded Gum). Seedlings from six natural populations of E. grandis spanning a 2000 km gradient were exposed to a four-day extreme heat treatment (42-24°C day-night cycle) in experimental growth chambers. Populations differed in their long-term exposure to extreme heat conditions, defined both as the number of days annually ≥15°C above mean annual temperature (MAT), and average number of days annually with temperature maxima ≥ 35°C between 1960-1990. 3. Long-term exposure to extreme heat conditions in the field predicted the protein-level response of E. grandis to experimental heat waves. Relationships between long-term extreme heat exposure and protein increases were positive and linear for all combinations of extreme heat (days ≥15°C above MAT, mean days with temperature maxima ≥35°C annually) and expression (all differentially expressed proteins, isolated heat shock proteins, proteins involved in molecular stress responses). 4. Although extreme climate events are typically rare (e.g. 1 day 15° ≥ MAT per 5 years in some populations in our study), E. grandis populations sampled from across a 2000km range exhibit a clear capacity to increase expression of proteins involved in heat stress in response to simulated heat wave exposure. Presumably they respond similarly under natural heat wave conditions. 5. We show that a long-lived species with a broad environmental niche exhibits adaptive variation in protein response to temperature extremes at the population level. This implies that restoration, translocation and silvicultural programs should consider the molecular response of source populations to climatic extremes to maximise success under future climates. 6. Tree populations with low exposure to extreme heat conditions may be limited in their ability to respond to heat wave events, potentially limiting their adaptive capacity to withstand novel climate conditions.
Data from: Proteomic evidence of a paedomorphic evolutionary process within a marine snail species: a strategy for adapting to extreme ecological conditions?
The exposed and sheltered ecotypes of the marine snail Littorina saxatilis from European rocky shores are considered a key model system to study adaptation and ecological speciation. Previous studies showed that two ecotypes (RB and SU) of this species in NW Spain have differently adapted to different shore levels and microhabitats. In order to understand how this divergent adaptive process has been accomplished, we followed a quantitative proteomic approach to investigate the proteome variation in a number of different biological factors, i.e. ecotype, ontogeny and their interactions. This approach allowed testing the hypothesis that one of the ecotypes has evolved by paedomorphosis, and also whether or not the molecular mechanisms related to ecotype differentiation are set up in early developmental stages. Additionally the identification of some candidate proteins by mass spectrometry provides some functional insights about these evolutionary processes. Results from this study provided evidence of higher ontogenetic differentiation at proteome level in the RB (metamorphic) than in SU (paedomorphic) ecotype that point to the possibility of juvenile stage retention in this latter ecotype. The level of protein expression (proteome) differences between ecotypes maintained nearly constant from late embryonic stages to adulthood, although some proteins involved in these changes considerably differed in embryonic compared to other ontogenetic stages. Paedomorphosis may be the evolutionary response of the SU ecotype of solving the trade-off during sexually immaturity that is caused by the evolution of small size arising from adaptation to the wave exposed habitat. Some potential candidate genes of adaptation related to energetic metabolism have been identified, providing a promising baseline for future functional analyses.
Data from: Pangenome and immuno-proteomics analysis of Acinetobacter baumannii strains revealed the core peptide vaccine targets
Background: Acinetobacter baumannii has emerged as a significant nosocomial pathogen during the last few years, exhibiting resistance to almost all major classes of antibiotics. Alternative treatment options such as vaccines tend to be most promising and cost effective approaches against this resistant pathogen. In the current study, we have explored the pan-genome of A. baumannii followed by immune-proteomics and reverse vaccinology approaches to identify potential core vaccine targets. Results: The pan-genome of all available A. baumannii strains (30 complete genomes) is estimated to contain 7,606 gene families and the core genome consists of 2,445 gene families (~32 % of the pan-genome). Phylogenetic tree, comparative genomic and proteomic analysis revealed both intra- and inter genomic similarities and evolutionary relationships. Among the conserved core genome, thirteen proteins, including P pilus assembly protein, pili assembly chaperone, AdeK, PonA, OmpA, general secretion pathway protein D, FhuE receptor, Type VI secretion system OmpA/MotB, TonB dependent siderophore receptor, general secretion pathway protein D, outer membrane protein, peptidoglycan associated lipoprotein and peptidyl-prolyl cis-trans isomerase are identified as highly antigenic. Epitope mapping of the target proteins revealed the presence of antigenic surface exposed 9-mer T-cell epitopes. Protein-protein interaction and functional annotation have shown their involvement in significant biological and molecular processes. The pipeline is validated by predicting already known immunogenic targets against Gram negative pathogen Helicobacter pylori as a positive control. Conclusion: The study, based upon combinatorial approach of pan-genomics, core genomics, proteomics and reverse vaccinology led us to find out potential vaccine candidates against A. baumannii. The comprehensive analysis of all the completely sequenced genomes revealed thirteen putative antigens which could elicit substantial immune response. The integration of computational vaccinology strategies would facilitate in tackling the rapid dissemination of resistant A.baumannii strains. The scarcity of effective antibiotics and the global expansion of sequencing data making this approach desirable in the development of effective vaccines against A. baumannii and other bacterial pathogens.
Comparative analysis of statistical methods used for detecting differential expression in label-free mass spectrometry proteomics - Data Supplement
<p>This the is Data Supplement for the article "Comparative analysis of statistical methods used for detecting differential expression in label-free mass spectrometry proteomics" submitted to the Journal of Proteomics 2015.</p>
Comparative membrane proteomic analysis of Tritrichomonas foetus isolates (non filtered Data Sets)
<p>Tritrichomonas foetus is a flagellated and anaerobic parasite able to infect cattle and felines. Despite its prevalence, there is no effective standardized or legal treatment for T. foetus-infected cattle; the vaccination still has limited success in mitigating infections and reducing abortion risk; and nowadays, the diagnosis of T. foetus presents important limitations in terms of sensitivity and specificity in bovines. Here, we characterize the plasma membrane proteome of T. foetus and identify proteins that are represented in different isolates of this protozoan. Raw proteomics data sets from MALDI-TOF Mass Spectrometry presented here corresponds to six T. foetus isolates (Tf0-Tf5). For Tf2 isolate also five membrane fractions are presented (f1-f5). </p>
Proteomics data for "Gut Microbial Beta-Glucuronidases Influence Endobiotic Homeostasis and Are Modulated by Diverse Therapeutics"
<p>Proteomics data used to generate results in "Gut Microbial Beta-Glucuronidases Influence Endobiotic Homeostasis and Are Modulated by Diverse Therapeutics" as published in <em>Cell Host and Microbe</em>. <a href="https://www.cell.com/cell-host-microbe/fulltext/S1931-3128(24)00138-0">Manuscript Link</a></p>
Data for 'Membrane marker selection for segmenting single cell spatial proteomics data'
<p>Additional data for 'Membrane marker selection for segmenting single cell spatial proteomics data'</p>
Proteomic source data archive
<p>Source data from proteomic analysis performed in manuscript "<strong>Mitochondrially targeted tamoxifen alleviates markers of obesity and type 2 diabetes mellitus" </strong>by<strong> </strong>Vacurova et al.</p>
Data for SWATH-based Quantitative Proteomic Analysis of Morus alba L. Leaf under Ultraviolet-B radiation and Dark Treatment
<p><em>Morus alba (M. alba) </em>have been used in traditional Chinese medicine. Since, previous studies indicated that the accumulation of several secondary metabolites was significantly induced by UV-B radiation with dark treatment. To investigate the response of <em>Morus alba</em> leaf to UV-B radiation and UV-B radiation followed by dark incubation (UVD), SWATH-based quantitative proteomic analysis was performed on <em>Morus alba</em> leaf of control, UV-B radiation and UV-B radiation then dark incubation. A total of 716 proteins were identified and quantified.</p>
Machine learning on large-scale proteomics data identifies tissue- and cell type-specific proteins
<p>Using data from 183 public human data sets from PRIDE, a machine learning model was trained to identify tissue and cell-type specific protein patterns. PRIDE projects were searched with ionbot and tissue/cell type annotation was manually added. Data from physiological samples were used to train a Random Forest model on protein abundances to classify samples into tissues and cell types. Subsequently, a one-vs-all classification and feature importance were used to analyse the most discriminating protein abundances per class. Based on protein abundance alone, the model was able to predict tissues with 98% accuracy, and cell types with 99% accuracy. The F-scores describe a clear view on tissue-specific proteins and tissue-specific protein expression patterns. In-depth feature analysis shows slight confusion between physiologically similar tissues, demonstrating the capacity of the algorithm to detect biologically relevant patterns. These results can in turn inform downstream uses, from identification of the tissue of origin of proteins in complex samples such as liquid biopsies, to studying the proteome of tissue-like samples such as organoids and cell lines</p>
Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics (Data)
<p>Combined data for the manuscript `Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics` for all manuscript and supplemental information figures.</p> <p>Every folder contains the raw data and Jupyter notebook (python) for graph creation.</p> <p>Images are not enclosed but are shown in the manuscript.</p> <p> </p>
Data for Theoretical assessment of indistinguishable peptides in mass spectrometry-based proteomics
<p>This dataset provides comprehensive spectral libraries for the theoretical assessment of indistinguishable peptides in mass spectrometry-based proteomics. The data were generated through various experimental conditions. Each file contains the peptide fragmentation patterns and retention times predicted with Prosit at different normalized collision energies (NCE) and charge states.</p>
zMAP toolset: model-based analysis of large-scale proteomic data via a variance stabilizing z-transformation
<p>Data and code used to generate the analyses and figures in paper "zMAP toolset: model-based analysis of large-scale proteomic data via a variance stabilizing z-transformation" are provided here.</p>
Proteomics data for "Untargeted Spatial Metabolomics and Spatial Proteomics on the Same Tissue Section"
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The Q-TOF proteomics data for the identification of mammalian 4-oxo-L-proline reductase (EC 1.1.1.104)
<p>The enclosed Zip file contains data files (RAW format) from MS^E experiment. The experiment was performed with the use of Acquity nanoUPLC coupled with a Synapt G2 HDMS Q-TOF mass spectrometer (Waters) fitted with a nanospray source. It aimed at the identification of proteins present in Fraction 28 from Superdex 200 purification step and the gel bands A, B, and C, coming from the SDS-PAGE analysis of this fraction.</p>
Data from: Differential proteomic responses of selectively bred and wild Sydney rock oyster populations exposed to elevated CO2
Previous work suggests that larvae from Sydney rock oysters that have been selectively bred for fast growth and disease resistance are more resilient to the impacts of ocean acidification than nonselected, wild-type oysters. In this study, we used proteomics to investigate the molecular differences between oyster populations in adult Sydney rock oysters and to identify whether these form the basis for observations seen in larvae. Adult oysters from a selective breeding line (B2) and nonselected wild types (WT) were exposed for 4 weeks to elevated pCO2 (856 μatm) before their proteomes were compared to those of oysters held under ambient conditions (375 μatm pCO2). Exposure to elevated pCO2 resulted in substantial changes in the proteomes of oysters from both the selectively bred and wild-type populations. When biological functions were assigned, these differential proteins fell into five broad, potentially interrelated categories of subcellular functions, in both oyster populations. These functional categories were energy production, cellular stress responses, the cytoskeleton, protein synthesis and cell signalling. In the wild-type population, proteins were predominantly upregulated. However, unexpectedly, these cellular systems were downregulated in the selectively bred oyster population, indicating cellular dysfunction. We argue that this reflects a trade-off, whereby an adaptive capacity for enhanced mitochondrial energy production in the selectively bred population may help to protect larvae from the effects of elevated CO2, whilst being deleterious to adult oysters.
Supplemental data for bioRxiv protocol on proteomic data analysis
<p>Table output from MSstats for the data analysis described in the BioRxiv paper, and the R script used to create the volcano plots in the manuscript. </p>
Source data for "Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics"
<p>Source data of "Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics".</p> <p>For reproduction of main and supplementary figures.</p> <p>MS raw files, spectral libraries, and MS data search results are stored in iProX with identifier IPX0004576001.</p> <p> </p>
Data from: Effects of sample fixation on specimen identification in biodiversity assemblies based on proteomic data (MALDI-TOF)
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.