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377
datasets available to search
ShareScore release 0.7.1
Dataset results
377 results for “Mass spectrometry”
pSILAC mass spectrometry reveals ZFP91 as novel IMiD dependent substrate of the CRL4CRBN ligase
GEO Series GSE94728. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Quantitative mass spectrometry-based proteomics reveals the dynamic protein landscape during initiation of human Th17 cell polarization
GEO Series GSE118974. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Nucleolin-aptamer therapy in retinoblastoma: molecular changes and mass spectrometry–based imaging
GEO Series GSE89818. Homo sapiens. 4 samples. Type: Non-coding RNA profiling by array.
Investigation of the metabolic features of cancer therapy induced senescent cells with TPEF, mass spectrometry and RNA sequencing analysis
GEO Series GSE298654. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Differential Peptide Subtraction (DPS): mass spectrometry for human cancer virus discovery
GEO Series GSE157610. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Proteins that bind regulatory regions identified by histone modification chromatin immunoprecipitations and mass spectrometry
GEO Series GSE58113. Mus musculus. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Sensitive and quantitative detection of MHC-I displayed neoepitopes using a semi-automated workflow and TOMAHAQ mass spectrometry
GEO Series GSE163326. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Improved prediction of endogenous HLA-associated epitopes based on mono-allelic mass spectrometry profiling
GEO Series GSE93315. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
RNA-Seq and protein mass spectrometry in microdissected kidney tubules reveal signaling processes initiating lithium-induced nephrogenic diabetes insipidus
GEO Series GSE116760. Rattus norvegicus. 75 samples. Type: Expression profiling by high throughput sequencing.
Data for paper "Understanding Mass Resolution of Foil-Based Time-of-Flight Mass Spectrometry"
<p>Data set for paper "Understanding Resolution of Foil-Based Time-of-Flight Mass Spectrometry" to be published in Journal of Geophysical Research: Space Physics (Technical Methods). The uploaded file is a single Microsoft Excel file containing Data Set S1 through S28.</p> <p> </p>
Molecular absorption and evolution mechanisms of PM2.5 brown carbon revealed by electrospray ionization -Fourier-transform ion cyclotron resonance mass spectrometry during a severe winter pollution episode in Xi'an, China
<p>42 PM<sub>2<em>.</em>5</sub> samples were collected during a severe pollution episode in January 2017 over Xi’an, China for a comprehensive non-target and full scanning of Brown carbon molecules and their absorption properties using electrospray ionization–Fourier-transform ion cyclotron resonance mass spectrometry(FTICRMS). Here are the data sets of FTICRMS intensity, formula, organic carbon (OC) and absorption at 365nm of the 42 samples.</p>
Mass spectrometry output SILAC labelled (F/Y) biological replicate 1 - anti-HLA-ABC antibody W6/32
<p>Mass spectrometry output from SILAC labelled (F/Y) ERAP2 WT versus (CRISPR Cas9-mediated) ERAP2-KO lymphoblastoid cell line from a Birdshot Uveitis patient (ERAP1 hap10/10 ERAP2 hapA/A). Peptides were eluted from immuno-purifications from HLA-A29-negative (DK1G8-negatively selected) fractions with anti-HLA-ABC antibody W6/32. The dataset was used for subsequent filtering and differential expression analysis by <em>limma</em>. </p>
Discovery of protein modifications using differential tandem mass spectrometry proteomics
<p>Recent studies have revealed diverse amino acid, post-translational and non-canonical modifications of proteins in diverse organisms and tissues. However, their unbiased detection and analysis remain hindered by technical limitations. Here, we present a spectral alignment method for the identification of protein modifications from high-resolution tandem peptide mass spectrometry. Termed SAMPEI for Spectral Alignment-based Modified PEptide Identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. Using synthetic standards and controlled chemical labeling experiments, we demonstrate specificity and sensitivity of SAMPEI for the discovery of protein modifications in complex cellular extracts. We then apply SAMPEI to mapping chemical protein modifications in differentiating mouse macrophage proteome. SAMPEI revealed diverse post-translational protein modifications, including distinct forms of cysteine itaconatylation which we experimentally validated. SAMPEI’s robust parameterization and versatility are expected to facilitate the discovery of biological modifications of diverse macromolecules. SAMPEI is implemented as a Python package and is available open-source from BioConda and GitHub (<a href="https://github.com/FenyoLab/SAMPEI">https://github.com/FenyoLab/SAMPEI</a>).</p> <p>The dataset is divided in 3 set of files:</p> <p>1. Agnostic_discovery_benchmarking.zip file contains analyses performed to establish relative sensitivity and specificity of agnostic PTM discovery (Figure 2, Figure S3).</p> <p>2. Chemoproteomics_of_LPS_stimulated_macrophages.zip file contains RAW264.7 cell proteomics identification results from X!tandem and SAMPEI (Figure 3, Figures S4-S7).</p> <p>3. Itaconate_adducts_validation.zip file contains analysis to confirm cystein adducts produced by itaconic acid (Figure 5, Figures S8-S12).</p> <p> </p> <p> </p>
Data from: Identifying metabolic subpopulations from population level mass spectrometry
Metabolism underlies many important cellular decisions, such as the decisions to proliferate and differentiate, and defects in metabolic signaling can lead to disease and aging. In addition, metabolic heterogeneity can have biological consequences, such as differences in outcomes and drug susceptibilities in cancer and antibiotic treatments. Many approaches exist for characterizing the metabolic state of a population of cells, but technologies for measuring metabolism at the single cell level are in the preliminary stages and are limited. Here, we describe novel analysis methodologies that can be applied to established experimental methods to measure metabolic variability within a population. We use mass spectrometry to analyze amino acid composition in cells grown in a mixture of 12C- and 13C-labeled sugars; these measurements allow us to quantify the variability in sugar usage and thereby infer information about the behavior of cells within the population. The methodologies described here can be applied to a large range of metabolites and macromolecules and therefore have the potential for broad applications.
mass spectrometry of b-catenin pulldown
<p>Proteomics of samples treated with DMSO or NS1643 and immunoprecipitated with b-catenin antibody.</p>
Accelerator Mass Spectrometry (AMS) data associated with the paper "Bossis et al., Evidence of slow millennial cliff retreat rates using cosmogenic nuclides in coastal colluvium, submitted to Esurf".
<p>This dataset contains the Accelerator Mass Spectrometry (AMS) 10Be data required to calculate the coastal cliff retreat rates presented in Bossis et al., Evidence of slow millennial cliff retreat rates using cosmogenic nuclides in coastal colluvium, submitted to Esurf. The samples were collected along the "Côte Vermeille" French coast, the "Costa Brava" Spanish coast and the south coast of Peru in colluvium at the foot of the cliffs. For additional information and methodology, see the original publication.</p>
Protein profile of exhaled breath condensate determined by high resolution mass spectrometry
<p>A method based on liquid chromatography/high resolution tandem mass spectrometry coupled with electrophoretic separation, for determination and relative quantification of the protein composition of exhaled breath condensate (EBC).</p>
Screening for Early Detection and Prevention of Pompe Disease in Israel Using Tandem Mass Spectrometry
ClinicalTrials.gov study NCT01409486. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Mass Spectrometry in Single Bladder Cancer Cells
ClinicalTrials.gov study NCT03639090. IPD Sharing: NO. Countries: 1. Publications: 0.
A Pilot Study for Systematic Neonatal Screening for Lysosomal Storage Diseases Using Tandem Mass Spectrometry
ClinicalTrials.gov study NCT04393701. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.