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257
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ShareScore release 0.9.0
Dataset results
257 results for “Proteomic analysis”
Integrating transcriptome, proteome, and phosphoproteome analysis reveals loss function of IQGAP2 promotes cell proliferation through the mTOR pathway
GEO Series GSE213715. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Clinical Proteomic Tumor Analysis Consortium (CPTAC)
The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) is a national effort to accelerate the understanding of the molecular basis of cancer through the application of large-scale proteome and genome analysis, or proteogenomics. CPTAC is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of cancer through the application of robust, quantitative, proteomic technologies and workflows. The overarching goal of CPTAC is to improve our ability to diagnose, treat and prevent cancer. To achieve this goal, the NCI launched CPTAC to systematically identify proteins that derive from alterations in cancer genomes and related biological processes, and provide this data with accompanying assays and protocols to the public. CPTAC has provided the GDC with genomic data from a total of 1100+ cancer patients with diverse disease types.
Qualitative proteomics analysis of hiPCS at stage 0 and 4 with and without mutation in HNF1A
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Meta-Analysis and Comparative Study of Proteomic Profiles in COPD Patients, Asymptomatic Smokers, and Healthy Individuals Using Mass Spectrometry-Based DIA Approaches on Serum Samples
<p>The provided files include raw data from Data Independent Acquisition (DIA) mass spectrometry proteomics and targeted proteomics of human clinical COPD samples, along with the study design.</p>
Transcriptomic and proteomic multi-model global gene expression analysis reveals regulatory signatures during ischemia stroke (photothrombotic cerebral ischemia stroke)
GEO Series GSE133897. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Integrated transcriptomic and proteomic analysis of human eccrine sweat glands
GEO Series GSE117885. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
A proteomics analysis of 5xFAD mouse brain regions reveals the lysosome-associated protein Arl8b as a candidate biomarker for Alzheimer’s disease
GEO Series GSE198226. Mus musculus. 34 samples. Type: Expression profiling by high throughput sequencing.
Combined transcriptomics and proteomics analysis unveiled the impact of vitamin C in modulating specific mitochondrial protein abundance in the mouse liver.
GEO Series GSE233598. Mus musculus. 36 samples. Type: Expression profiling by high throughput sequencing.
Proteomics and transcriptomics analysis of rat retinal ganglion cells exposed to chronic ocular hypertension.
GEO Series GSE15332. Rattus norvegicus. 8 samples. Type: Expression profiling by array.
TMT-based quantitative proteomic analysis of spheroid cells of endometrial cancer possessing cancer stem cell properties
GEO Series GSE222599. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Correlating citric acid formation and manganese limitation in Aspergillus niger using transcriptome and proteome analysis
GEO Series GSE61985. Aspergillus oryzae; Aspergillus niger; Aspergillus nidulans. 9 samples. Type: Expression profiling by array.
Systemic proteomic and small RNA profile analysis of extracellular vesicles derived from Theileria annulata
GEO Series GSE279977. Bos taurus. 15 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Analysis of the transcriptome, proteome, histological, and biochemical profiles of oriental river prawn Macrobrachium nipponense under long-term salinity exposure
GEO Series GSE222255. Macrobrachium nipponense. 36 samples. Type: Expression profiling by high throughput sequencing.
Proteomic dataset: Identification of ACBP as a potential target in ciliopathic obesity through multi-omics network analysis
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A Wide-Proteome Analysis to Identify Molecular Pathways Involved in Kidney Response to High-Fat Diet in Mice
<p>Dozio E, Maffioli E, Vianello E, Nonnis S, Grassi Scalvini F, Spatola L, Roccabianca P, Tedeschi G, Corsi Romanelli MM. A Wide-Proteome Analysis to Identify Molecular Pathways Involved in Kidney Response to High-Fat Diet in Mice. Int J Mol Sci. 2022 Mar 30;23(7):3809. doi: 10.3390/ijms23073809. PMID: 35409168; PMCID: PMC8999052.</p> <p>Abstract</p> <p>The etiopathogenesis of obesity-related chronic kidney disease (CKD) is still scarcely understood. To this aim, we assessed the effect of high-fat diet (HF) on molecular pathways leading to organ damage, steatosis, and fibrosis. Six-week-old male C57BL/6N mice were fed HF diet or normal chow for 20 weeks. Kidneys were collected for genomic, proteomic, histological studies, and lipid quantification. The main findings were as follows: (1) HF diet activated specific pathways leading to fibrosis and increased fatty acid metabolism; (2) HF diet promoted a metabolic shift of lipid metabolism from peroxisomes to mitochondria; (3) no signs of lipid accumulation and/or fibrosis were observed, histologically; (4) the early signs of kidney damage seemed to be related to changes in membrane protein expression; (5) the proto-oncogene MYC was one of the upstream transcriptional regulators of changes occurring in protein expression. These results demonstrated the potential usefulness of specific selected molecules as early markers of renal injury in HF, while histomorphological changes become visible later in obesity-related CDK. The integration of these information with data from biological fluids could help the identification of biomarkers useful for the early detection and prevention of tissue damage in clinical practice.</p>
Proteomic analysis of pervanadate-induced tyrosine-phosphorylated proteins in hepatocellular carcinoma WRL 68 cells
GEO Series GSE2408. Homo sapiens. 1 samples. Type: Other.
Data for SWATH-based Quantitative Proteomic Analysis of Morus alba L. Leaf under Ultraviolet-B radiation and Dark Treatment
<p>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>
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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.