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492 results for “Starvation”
Relief from nitrogen starvation entails quick unexpected down-regulation of glycolytic/lipid metabolism genes in enological Saccharomyces cerevisiae
<p>Data and code supporting the manuscript "Relief from nitrogen starvation entails quick unexpected down-regulation of glycolytic/lipid metabolism genes in enological Saccharomyces cerevisiae" by Tesnière et al. (2019) PLoS ONE 14(4): e0215870. https://doi.org/10.1371/journal.pone.0215870</p> <p>README.pdf or README.md files contain information about the files in this archive.</p>
Data for "Host starvation and in hospite degradation of algal symbionts shape the heat stress response of the Cassiopea-Symbiodiniaceae symbiosis"
<p>Raw data associated with the publication "Host starvation and in hospite degradation of algal symbionts shape the heat stress response of the Cassiopea-Symbiodiniaceae symbiosis". Temperature profile, daily measurements, physiological measurements, elemental analysis, NanoSIMS data, and cell density data are included as individual tabs in the Excel file. </p>
Supplementary Material of "Fuel Starvation in Automotive PEMFC Stacks: Stack Current and Bipolar Plate Resistance"
<p>This video contains the discussed experimental data of the following journal publication, which explains experimental setup, test cycle and the shown data in detail.</p> <p><strong>Nissen, J., Boye, J. P., Schrievers, M., Schwämmlein, J. N., & Hölzle, M. (2025). Fuel Starvation in Automotive PEMFC Stacks: Stack Current and Bipolar Plate Resistance. <em>Journal of Physics: Energy</em>. </strong></p> <p><strong><a href="https://doi.org/10.1088/2515-7655/ada184">https://doi.org/10.1088/2515-7655/ada184</a></strong></p> <p>The time-dependent behavior of the respective fuel cell is furthermore discussed in a follow-up publication:</p> <p><strong>Nissen, J., Boye, J. P., Schwämmlein, J. N., Willich, C., & Hölzle, M. (2025). Fuel starvation in automotive PEMFC stacks: A self-enhancing overheating mechanism. <em>Journal of Physics: Energy</em>. <br><a href="https://doi.org/10.1088/2515-7655/ade288">https://doi.org/10.1088/2515-7655/ade288</a></strong></p>
Relief from nitrogen starvation triggers a transient destabilization of glycolytic mRNAs in Saccharomyces cerevisiae cells
<p>Dataset supporting "Relief from nitrogen starvation triggers a transient destabilization of glycolytic mRNAs in Saccharomyces cerevisiae cells" (2018) Molecular Biology of the Cell 29:377-522. DOI: 10.1091/mbc.E17-01-0061</p>
Supplementary Material of "Fuel Starvation in Automotive PEMFC Stacks: Hydrogen Stoichiometry and Electric Cell-to-Cell Interaction"
<p>This video contains the discussed experimental data of the following journal publication, which explains experimental setup, test cycle and the shown data in detail.</p> <p><strong>Nissen, J., Boye, J. P., Schwämmlein, J. N., & Hölzle, M. (2024). Fuel starvation in automotive PEMFC stacks: hydrogen stoichiometry and electric cell-to-cell interaction. <em>Journal of Physics: Energy</em>. <br><a title="https://doi.org/10.1088/2515-7655/ad5f54" href="https://doi.org/10.1088/2515-7655/ad5f54">https://doi.org/10.1088/2515-7655/ad5f54</a></strong></p> <p>Version 01: Video as .MKV file. Quite large and not supported for in-browser visualization by zenodo.</p> <p>Version 02: Changed video format from .MKV to .MP4 to reduce file size and allow in-browser visualization by zenodo. Identical content as Version 01.</p>
Figure 2 in Oxygen consumption rates and respiratory carbon losses in three species of copepods (Acartia clausi, Calanus helgolandicus and Limnocalanus macrurus) during starvation
Figure 2. Changes in Total (Ɣ, black lines), Basal (ż,blue lines) and Active (Ÿ, red lines) respiration in the Marmara Sea copepods Acartia clausi (A) and Calanus helgolandicus (B), and the Baltic Sea Limnocalanus macrurus (C) during starvation. Low-case letters (a, b and c) are the significant variable differences from Duncan's multiple range test (DMRT), p <0.05.
Figure 1 in Oxygen consumption rates and respiratory carbon losses in three species of copepods (Acartia clausi, Calanus helgolandicus and Limnocalanus macrurus) during starvation
Figure 1. Acartia clausi (a), Limnocalanus macrurus (b) and Calanus helgolandicus (c). Arrows indicate anterior (1) and posterior (2) oil sacs of L. macrurus and oil sac of C. helgolandicus (3).
Fig. 5 in Starvation time and predatory efficiency of spider species on Bemisia tabaci (Homoptera: Aleyrodidae)
Fig. 5. Longevity of different spider species without prey (mean ± SE). The differences were analysed by 1-way ANOVA, using a Tukey HSD post-hoc test at a significance level of P <0.05. Values are means of 8 replications.
Fig. 3 in Starvation time and predatory efficiency of spider species on Bemisia tabaci (Homoptera: Aleyrodidae)
Fig. 3. Comparison of cumulative predation number (mean ± SE) of different spider species at the same times, at (A) 1 h; (B) 4 h; (C) 8 h; and (D) 16 h of bioassay. The differences were analysed by 1-way ANOVA, using a Tukey HSD post-hoc test at a significance level of P <0.05. Values are means of 8 replications.
Fig. 2 in Starvation time and predatory efficiency of spider species on Bemisia tabaci (Homoptera: Aleyrodidae)
Fig. 2. Cumulative predation number (mean ± SE) of each spider species at different times in the lab, at 1, 4, 8, and 16 h of bioassay. The differences were analyzed by 1-way ANOVA, using a Tukey HSD post-hoc test at a significance level of P <0.05. Values are means of 8 replications.
Fig. 4 in Starvation time and predatory efficiency of spider species on Bemisia tabaci (Homoptera: Aleyrodidae)
Fig. 4. Comparison of cumulative predation number (mean ± SE) of different spider species at the same times in a greenhouse. (A) 24 h and (B) 48 h of bioassay. The differences were analyzed by 1-way ANOVA, using a Tukey HSD post-hoc test at a significance level of P <0.05. Values are means of 8 replications.
Dataset: 1H NMR metabolomic study of auxotrophic starvation in yeast using Multivariate Curve Resolution-Alternating Least Squares for Pathway Analysis
<p>This dataset contains the set of 1H NMR data used in https://doi.org/10.1038/srep30982.</p> <p>Yeast was grown in five different liquid media and their metabolism was characterized at 6 different time-points during 24 h.</p> <p>The media used were YSC (Yeast nitrogen base Synthetic Complete) and four Drop-Out (DM) medium that do not contain one of the following nutrients (L-histidine, L-leucine, L-methionine and uracil). Since the used yeast strain does not encode in its genome some genes relative to the biosynthesis of these four nutrients, some gene de-regulations process will occur, detectable at the metabolome level.</p> <p>In this study, we have characterized the metabolome using <sup>1</sup>H NMR spectroscopy, detecting more than 40 metabolites, and the evolution of this metabolome along the measured time-points was described by application of PCA, ASCA and MCR-ALS chemometric methods.</p>
Transcriptome Analysis of Cisplatin, Cannabidiol, and Intermittent Serum Starvation Alone and in Various Combinations on Colorectal Cancer Cells
<p>* See README file for the description of data files available in this repository</p> <p>1. Study Description:</p> <p>Platinum-derived chemotherapy medications are often combined with other conventional therapies for treating different tumours, including colorectal cancer. However, the development of drug resistance and multiple adverse effects remain common in clinical settings. Thus, there is a necessity to find novel treatments and drug combinations that could effectively target colorectal cancer cells and lower the probability of disease relapse. To find potential synergistic interaction, we designed multiple different combinations between cisplatin, cannabidiol, and intermittent serum starvation on colorectal cancer cell lines. Based on the cell viability assay, we found that combinations between cannabidiol and intermittent serum starvation, cisplatin, and intermittent serum starvation, as well as cisplatin, cannabidiol and intermittent serum starvation can work in a synergistic fashion on different colorectal cancer cell lines. Furthermore, we analyzed differentially expressed genes and affected pathways in colorectal cancer cell lines to understand further the potential molecular mechanisms behind the treatments and their interactions. We found that synergistic interaction between cannabidiol and intermittent serum starvation can be related to changes in the transcription of genes responsible for cell metabolism and cancer’s stress pathways. Moreover, when we added cisplatin to the treatments, there was a strong enrichment of genes taking part in G2/M cell cycle arrest and apoptosis.</p> <p> </p> <p>2. Bioinformatics workflow:</p> <p>Initial quality control was conducted using FastQC v0.11.9 https://www.bioinformatics.babraham.ac.uk/projects/fastqc/. Sequencing reads were trimmed of adapter sequences and low-quality bases using Trimmomatic. Trimmed sequence files were examined with FastQC to verify the trimming results. Trimmed sequencing reads were mapped to Human genome (GRCh37, Ensembl) downloaded from Illumina iGenome website (<a href="https://support.illumina.com/sequencing/sequencing_software/igenome.html">https://support.illumina.com/sequencing/sequencing_software/igenome.html</a>). Mapping was done using splice aware aligner HISAT2 2.1.0. Alignment files in SAM format were converted to BAM, sorted and indexed with samtools v.1.3.1. Mapping quality and statistics were collected with QualiMap software package v.2.2.2 <a href="http://qualimap.conesalab.org/">http://qualimap.conesalab.org/</a> The counts if reads mapping to features (genes) were counted using FeatureCounts v.2.0.1 software.</p> <p>Data exploration, visualization and statistical comparisons were conducted using R language version 4.2.2. Pair-wise comparisons between experimental groups were done with DESeq2 v.2.1.36 as described in the package manual. To decrease computational time, only the genes with at least 5 reads across 3 samples were kept in the analysis. In addition to hard threshold filtering mentioned above, DESeq2 implements independent filtering based on mean of normalized count as a filter statistic.</p> <p>We used hierarchical clustering (HC) and principal components analysis (PCA) to investigate the relationship between samples and detect potential outliers. Prior to HC and PCA analysis, DESeq2 normalized values underwent variance stabilizing transformation with using vst() function from DESeq2. HC was done using hclust() function implemented in R, with the clustering method set as “complete” for the matrices of sample-to-sample distances, and “Ward.D2” in case of the sample and gene clustering based on top 500 most variable genes. The distance measure in HC analysis was set to “euclidean”. Principal components analysis (PCA), applied to top 500 highly variable genes, was conducted using prcomp() function implemented in R with default options.</p> <p>Differentially expressed genes (DEGs) were detected with DESeq2 function results() with default options. DESeq2 uses Wald test to determine significantly changed genes between groups. The independent filtering option was set to TRUE with alpha threshold (adjusted p-value) kept at 0.1. Multiple comparison adjustment was done using Bejamini-Hochberg procedure.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Data and code from: Sea ice perturbation and mass starvation of Thick-billed Murres
Open the record for dataset details and reuse information.
Data from: Paternal starvation affects metabolic gene expression during zebrafish offspring development and life-long fitness
Open the record for dataset details and reuse information.
Short neuropeptide F regulates the starvation mediated enhanced locomotor activity in Drosophila
<p class="normal"><span>The circadian clock regulates various behavioral, metabolic and physiological processes to occur at the most suitable time of the day. Internal energy stores and nutrient availability modulates the most apparent circadian clock mediated locmotor activity rhythm in <i>Drosophila</i>. </span>Although previous studies unraveled the role of circadian clock in metabolism and activity rest rhythm, the precise pathway through which the circadian neuropeptidergic signaling regulates internal energy storage and the starvation-mediated increase in activity resembling foraging remains largely unclear. This study was aimed to elucidate the role of circadian neuropeptide, short neuropeptide F (sNPF) in triglyceride metabolism, starvation resistance and starvation-mediated increased locomotor activity in <i>Drosophila</i>. The results showed that <i>snpf </i>transcripts exhibits significant rhythmicity in wild type flies under 12:12 hour light-dark cycles (LD) and constant darkness (DD) whereas <i>snpf</i> transcript level in <i>period</i> null flies did not exhibit any significant rhythmicity under LD. Knockdown of sNPF in circadian clock neurons reduced the triglyceride level, starvation resistance and increased the starvation-mediated hyperactivity response after 24 hour of starvation. Further studies showed that knock down of sNPF receptors (sNPFR) expressed in insulin producing cells (IPC) increased the starvation resistance and reduced starvation-induced hyperactivity response after 24 hour of starvation. Collectively, our results suggest that transcriptional oscillation of <i>snpf </i>mRNA is endogenously controlled by the circadian clock and elucidate the role of sNPF in modulating locomotor activity in accordance with the nutrient availability in <i>Drosophila</i>. </p>
673_2023_02_13_proteinAggregates_starvation_2_0_twice_ura7ha_ura7hr_ura8_ura8ha_ura8hr_00 (part 3)
High throughput time lapse experiment. Details can be found on the 'txt' files inside.
673_2023_02_13_proteinAggregates_starvation_2_0_twice_ura7ha_ura7hr_ura8_ura8ha_ura8hr_00 (part 2)
High throughput time lapse experiment. Details can be found on the 'txt' files inside.
673_2023_02_13_proteinAggregates_starvation_2_0_twice_ura7ha_ura7hr_ura8_ura8ha_ura8hr_00 (part 1)
High throughput time lapse experiment. Details can be found on the 'txt' files inside.
673_2023_02_13_proteinAggregates_starvation_2_0_twice_ura7ha_ura7hr_ura8_ura8ha_ura8hr_00 (part 4)
High throughput time lapse experiment. Details can be found on the 'txt' files inside.
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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.