Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
278
datasets available to search
ShareScore release 0.9.0
Dataset results
278 results for “metabolic modeling”
metaGEM: genome scale metabolic models
<p>Genome scale models reconstructed from metagenomes. Please consider citing the original metaGEM <a href="https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkab815/6382386">publication</a> if you use these models in your research.</p>
Data from: Model-assisted analysis of sugar metabolism throughout tomato fruit development reveals enzyme and carrier properties in relation to vacuole expansion
A kinetic model combining enzyme activity measurements and subcellular compartmentation was parameterized to fit the sucrose, hexose, and glucose-6-P contents of pericarp throughout tomato (Solanum lycopersicum) fruit development. The model was further validated using independent data obtained from domesticated and wild tomato species and on transgenic lines. A hierarchical clustering analysis of the calculated fluxes and enzyme capacities together revealed stage-dependent features. Cell division was characterized by a high sucrolytic activity of the vacuole, whereas sucrose cleavage during expansion was sustained by both sucrose synthase and neutral invertase, associated with minimal futile cycling. Most importantly, a tight correlation between flux rate and enzyme capacity was found for fructokinase and PPi-dependent phosphofructokinase during cell division and for sucrose synthase, UDP-glucopyrophosphorylase, and phosphoglucomutase during expansion, thus suggesting an adaptation of enzyme abundance to metabolic needs. In contrast, for most enzymes, flux rates varied irrespectively of enzyme capacities, and most enzymes functioned at <5% of their maximal catalytic capacity. One of the major findings with the model was the high accumulation of soluble sugars within the vacuole together with organic acids, thus enabling the osmotic-driven vacuole expansion that was found during cell division.
Comparative analysis of metabolic models of microbial communities reconstructed from automated tools and consensus approaches
<p>Generated draft and consensus reconstructions for the manuscript "Comparative analysis of metabolic models of microbial communities reconstructed from automated tools and consensus approaches" (Hsieh, Tandon, Verbruggen, & Nikoloski).</p>
Patient-specific genome-scale metabolic models reconstructed for 8 TCGA tumor types
<p>TCGA_reconstructedGEMs: 3,599 cancer patient-specific GEMs for 8 different tumor types reconstructed using the TCGA (The Cancer Genome Atlas) RNA-seq data and generic human GEM 'Recon 2M.2'</p>
Datasets: Carbon sources and pathways for citrate secreted by human prostate cancer cells determined by NMR tracing and metabolic modeling
<p>Zipped NMR datasets:</p> <p>data1 LNCaP medium with [U-<sup>13</sup>C<sub>4</sub>]aspartate</p> <p>data2 LNCaP medium with [1,6-<sup>13</sup>C<sub>2</sub>]glucose</p> <p>data3 LNCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data4 VCaP medium with [1,6-<sup>13</sup>C<sub>2</sub>]glucose</p> <p>data5 VCaP medium with [U-<sup>13</sup>C<sub>4</sub>]aspartate -glucose +pyruvate</p> <p>data6 VCaP medium with [5-<sup>13</sup>C]glutamine</p> <p>data7 VCaP medium with [2-<sup>13</sup>C]pyruvate -glucose +aspartate</p> <p>data8 VCaP medium with [5-<sup>13</sup>C]glutamine</p> <p>data9 VCaP medium with [5-<sup>13</sup>C]glutamine</p> <p>data10 VCaP medium with [5-<sup>13</sup>C]glutamine</p> <p>data11 LNCaP and VCaP medium with and without zinc(II)</p> <p>data12 LNCaP and VCaP medium with and without zinc(II)</p> <p>data13 LNCaP and VCaP medium with and without zinc(II)</p> <p>data14 LNCaP medium with [U-<sup>13</sup>C<sub>4</sub>]aspartate -glucose +pyruvate</p> <p>data15 LNCaP medium with [5-<sup>13</sup>C]glutamine</p> <p>data16 LNCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data17 LNCaP medium with [5-<sup>13</sup>C]glutamine</p> <p>data18 VCaP medium with [1,6-<sup>13</sup>C<sub>2</sub>]glucose</p> <p>data19 VCaP medium with [1,6-<sup>13</sup>C<sub>2</sub>]glucose</p> <p>data20 VCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data21 LNCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data22 LNCaP medium with [2-<sup>13</sup>C]pyruvate +citr. Spiking</p> <p>data23 LNCaP medium with [5-<sup>13</sup>C]glutamine</p> <p>data24 LNCaP medium with [5-<sup>13</sup>C]glutamine</p> <p>data25 LNCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data26 VCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data27 VCaP medium with [2-<sup>13</sup>C]pyruvate -glucose +aspartate</p> <p>data28 VCaP medium with [U-<sup>13</sup>C<sub>4</sub>]aspartate -glucose +pyruvate</p> <p>data29 LNCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data30 LNCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data31 LNCaP medium with [2-<sup>13</sup>C]pyruvate</p> <p>data32 VCaP medium with [2-<sup>13</sup>C]pyruvate -glucose +aspartate</p> <p>data33 VCaP medium with [U-<sup>13</sup>C<sub>4</sub>]aspartate -glucose +pyruvate</p> <p>data34 VCaP medium with [U-<sup>13</sup>C<sub>4</sub>]aspartate -glucose +pyruvate</p> <p>data35 LNCaP medium with [U-<sup>13</sup>C<sub>4</sub>]aspartate</p> <p>data36 VCaP medium with [U-<sup>13</sup>C<sub>4</sub>]aspartate -glucose +pyruvate</p> <p>data37 LNCaP medium with [5-<sup>13</sup>C]glutamine + citr. spiking</p>
The effect of dietary supplementation with blueberry, cyanidin-3-O-β-glucoside, yoghurt and its peptides on gene expression associated with glucose metabolism in skeletal muscle obtained from a high-fat-high-carbohydrate diet induced obesity model
<p><span>Obesity is a leading global health problem contributing to various chronic diseases, including type II diabetes mellitus</span> <span>(T2DM). The aim of this study was to investigate whether blueberries, yoghurt, and their respective bioactive components, Cyanidin-3-O-β-glucoside (C3G) and peptides alone or in combinations, alter the expression of genes related to glucose metabolism in skeletal muscles from diet-induced obese mice. In extensor digitorum longus (EDL), yoghurt up-regulated the expression of activation of 5'adenosine monophosphate-activated protein kinase (AMPK), insulin receptor substrate-1 (IRS-1), phosphatidylinositol-3 kinase (PI3K) and glucose transporter 4 (GLUT4), and down-regulated the expression of angiotensin II receptor type 1 (AGTR-1). The combination of blueberries and yoghurt down-regulated the mRNA expression of AGTR-1 and Forkhead box protein O1 (FoxO1) in the EDL. Whereas the combination of C3G and peptides down-regulated AGTR-1 and up-regulated GLUT4 mRNA expression in the EDL. In the soleus, blueberries and yoghurt alone, and their combination down-regulated AGTR-1 and up-regulated GLUT4 mRNA expression. In summary blueberries and yoghurt, regulated multiple genes associated with glucose metabolism in skeletal muscles, and therefore may play a role in the management and prevention of T2DM.</span></p>
Metabolic models for gapseq evaluation tests
<p>metabolic models needed to reproduce the enzymatic and carbon source test from the gapseq paper https://doi.org/10.1186/s13059-021-02295-1</p> <p>More details can be found here:</p> <p>https://github.com/Waschina/gapseqEval</p>
Optimization used in in the publication scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data
<p>OptimizationResults contain the expanded input model for each data set, in the C field are the indices of the core reactions in the expanded input model used to build the multi-cell population for the 121 different parameters, A contains the indices of reaction in the multi-cell population model for the 121 runs, thresh the parameter setting for the cover and REI. The REI is given in %. So 5 REI means 0.05. While A might change because of alternative optimals when run on a different computer, C and the expanded Input model will remain unchanged.</p> <p> </p> <p>Multi_cell_population_CRC and Multi_cell_population_NM are the models obtained by scFASTCORMICS with the optimal setting for Dataset1 and Dataset2, respectively. </p> <p>Please, check the publication (scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data) for more details.</p>
A multivariate physiological model of vagus nerve signalling during metabolic challenges in anaesthetised rats for diabetes treatment
<p>Raw recordings that support the findings of the paper. In the intact recordings, there may be more than one recoridng corresponding to the same animal. For ligated recordings, odd numbers correspond to efferent and even numbers to afferent recordings.</p>
The Establishment of Multiple Point Prediction Model About Tacrolimus Metabolic Differences Based on Genetic Network After Liver Transplantation and the Application of Multicenter
ClinicalTrials.gov study NCT02752529. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Model-assisted analysis of sugar metabolism throughout tomato fruit development reveals enzyme and carrier properties in relation to vacuole expansion
Open the record for dataset details and reuse information.
The effect of dietary supplementation with blueberry, cyanidin-3-O-β-glucoside, yoghurt and its peptides on gene expression associated with glucose metabolism in skeletal muscle obtained from a high-fat-high-carbohydrate diet induced obesity model
Open the record for dataset details and reuse information.
Data from: Modeling central metabolism and energy biosynthesis across microbial life
Open the record for dataset details and reuse information.
Data from: Competing metabolic strategies in a multilevel selection model
The evolutionary mechanisms of energy efficiency have been addressed. One important question is to understand how the optimized usage of energy can be selected in an evolutionary process, especially when the immediate advantage of gathering efficient individuals in an energetic context is not clear. We propose a model of two competing metabolic strategies differing in their resource usage, an efficient strain which converts resource into energy at high efficiency but displays a low rate of resource consumption, and an inefficient strain which consumes resource at a high rate but at low yield. We explore the dynamics in both well-mixed and structured populations. The selection for optimized energy usage is measured by the likelihood that an efficient strain can invade a population of inefficient strains. It is found that the parameter space at which the efficient strain can thrive in structured populations is always broader than observed in well-mixed populations.
Predicting gut microbial behavior in human diseases via community metabolic modeling and machine learning
Open the record for dataset details and reuse information.
Data from: A general model for seed and seedling respiratory metabolism
The ontogeny of seed plants usually involves a dormant dehydrated state and the breaking of dormancy and germination, which distinguishes it from that of most organisms. Seed germination and seedling establishment are critical ontogenetic stages in the plant life cycle and both are fueled by respiratory metabolism. However, the scaling of metabolic rate with respect to individual traits remains poorly understood. Here, we tested metabolic scaling theory during seed germination and early establishment growth using a recently developed model and empirical data collected from 41 species. The results show that (i) the mass-specific respiration rate (Rm) is weakly correlated with body mass, mass-specific N, and C content, (ii) Rm conformed to a single Michaelis-Menten curve as a function of tissue water content, and (iii) the central parameters in the model were highly correlated with DNA content and critical enzyme activities. The model offers new insights and a more integrative scaling theory that quantifies the combined effects of tissue water content and body mass on respiratory metabolism during early plant ontogeny.
Construction of a Prognostic Model for Severe Brain-Injured Patients Based on Integrated Metabolic-Neurological Monitoring
ClinicalTrials.gov study NCT07198490. IPD Sharing: Not stated. Countries: 0. Publications: 3.
Metabolic and Functional Impact of Various Breakfast Models
ClinicalTrials.gov study NCT03240757. IPD Sharing: NO. Countries: 0. Publications: 0.
Data from: A general model for seed and seedling respiratory metabolism
Open the record for dataset details and reuse information.
Data from: Mammalian metabolic allometry: do intraspecific variation, phylogeny, and regression models matter?
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.