Find research datasets worth reusing

opencc-by-4.0Apr 2017View details →

Fig. 3 in Asymbiotic germination, multiplication and development of Alatiglossum fuscopetalum (Orchidaceae) as affected by culture medium, sucrose and growth regulators

Fig. 3. Growth index of Alatiglossum fuscopetalum on Murashige and Skoog (MS and ½MS), Knudson (KN), and Vacin and Went (VW) media, 90 days after the onset of seed germination. Histobars with the same letters are not significantly different according to the Tukey's test at the 5% probability level.

opencc-by-4.0Apr 2017View details →

Fig. 2 in Asymbiotic germination, multiplication and development of Alatiglossum fuscopetalum (Orchidaceae) as affected by culture medium, sucrose and growth regulators

Fig. 2. Germination percentages of Alatiglossum fuscopetalum seeds on Murashige and Skoog (MS and ½MS), Knudson (KN), and Vacin and Went (VW) media. Histobars with the same letters are not significantly different according to the Tukey's test at the 5% probability level.

opencc-by-4.0Apr 2017View details →

Figs. 1 A-D in Asymbiotic germination, multiplication and development of Alatiglossum fuscopetalum (Orchidaceae) as affected by culture medium, sucrose and growth regulators

Figs. 1 A-D. Protocorm developmental stages of Alatiglossum fuscopetalum from seed germination in vitro. A. Stage 1 swollen green embryos (protocorm phase); B. Stage 2 protocorm bearing one leaf; C. Stage 3 protocorm bearing two leaves; D. Stage 4 protocorm with leaves and one root (seedling stage). Bars = 1 mm.

opencc-by-4.0Apr 2024View details →

Results for the paper "The impact of temporal hydrogen regulation on hydrogen exporters and their domestic energy transition"

As global demand for green hydrogen rises, potential hydrogen exporters move into the spotlight. However, the large-scale installation of on-grid hydrogen electrolysis for export can have profound impacts on domestic energy prices and energy-related emissions. Our investigation explores the interplay of hydrogen exports, domestic energy transition and temporal hydrogen regulation, employing a sector-coupled energy model in Morocco. We find substantial co-benets of domestic climate change mitigation and hydrogen exports, whereby exports can reduce domestic electricity prices while mitigation reduces hydrogen export prices. However, increasing hydrogen exports quickly in a system that is still dominated by fossil fuels can substantially raise domestic electricity prices, if green hydrogen production is not regulated. Surprisingly, temporal matching of hydrogen production lowers domestic electricity cost by up to 31% while the effect on exporters is minimal. This policy instrument can steer the welfare (re-)distribution between hydrogen exporting firms, hydrogen importers, and domestic electricity consumers and hereby increases acceptance among actors.

opencc-by-4.0Feb 2023View details →

A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations

This information is lists of alien species regulated in South Africa under the National Environmental Management: Biodiversity Act in an accessible form. The first worksheet is essentially metadata. The second worksheet is intended to be a link between any taxa listed or proposed for listing and various taxonomic backbones. The third worksheet is intended to provide a list of taxonomically verified names linked to the current lists. The other worksheets link to particular versions of the regulations (including version sent for public comment that were never published), the intention is for this to be an exact copy (including formatting), please report any inconsistencies between this and the published version to john.wilson2@gmail.com, but before doing so please double-check that what is presented here, is not how it is presented in the lists themselves. The data were extracted by John Wilson at various dates from pdfs in the government gazette, contact john.wilson2@gmail.com For further details please see: Wilson JRU, Kumschick S (2024). The regulation of alien species in South Africa. South African Journal of Science. vol. 120, issue 5/6, Art. #17002. https://doi.org/10.17159/sajs.2024/17002  If only the database is to be cited, cite as Wilson, J. R. (2025) A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations. v1.1(20250325) doi: 10.5281/zenodo.15082537 (NOTE CHECK FOR LATEST VERSION ) For a full description of metadata see: the latest species list available at iasreport.sanbi.org.za/ or http://dx.doi.org/10.5281/zenodo.8217211

Native MS dataset for: "Caldendrin and myosin V regulate synaptic spine apparatus localization via ER stabilization in dendritic spines."

Native mass spectrometry dataset used in: Caldendrin and myosin V regulate synaptic spine apparatus localization via ER stabilization in dendritic spines. Anja Konietzny, Jasper Grendel, Alan Kadek, Michael Bucher, Yuhao Han, Nathalie Hertrich, Dick H. W. Dekkers, Jeroen A. A. Demmers, Kay Grünewald, Charlotte Uetrecht and Marina Mikhaylova. The EMBO Journal (2021) e106523. doi:<a href="https://doi.org/10.15252/embj.2020106523">10.15252/embj.2020106523</a> Description:Native mass spectrometry (MS) analysis of the stoichiometry and ion occupancy of recombinant human calmodulin (CaM) and recombinant rat caldendrin (CaD) complex with synthetic mouse myosinV IQ1 (myoIQ) motif in the presence / absence of excess Ca2+ and Mg2+ ions.Sample processing:Full-length CaD and CaM as well as the synthetic myoVa peptide were buffer exchanged into 150 mM aqueous ammonium acetate solution (pH 7.4). CaM was twice passed through a Bio-Spin P-6 gel filtration spin column (6 kDa cut-off, Bio-Rad), CaD and the myoVa peptide were buffer exchanged through five cycles of tenfold dilution and re-concentration using centrifugal concentrators Vivaspin 500 (10 kDa cut-off, Sartorius) or Amicon Ultra 0.5mL (3 kDa cut-off, Merck/Millipore), respectively. Desalted proteins were introduced into an Orbitrap Q Exactive UHMR mass spectrometer (Thermo Scientific) via static nanoelectrospray ionization from in-house prepared gold-coated borosilicate glass capillaries Kwik-Fil 1B120F-4 (World Precision Instruments). Proteins were sprayed and analysed at 8.5 µM concentration in ammonium acetate alone or supplemented with 200 µM calcium acetate and 100 µM magnesium acetate (both for trace metal analysis, Sigma-Aldrich). For interaction analysis, CaM and/or caldendrin were mixed with myoVa peptide which had final concentration of 8.5 µM (low concentration) or 34 µM (high concentration). The mass spectrometer was tuned for best signal quality and intensity, keeping ion activation and unfolding minimal. Namely, electrospray voltage was kept at 1.3 kV, source desolvation temperature 250°C, in-source desolvation -50 V, ion transfer profile "high m/z", analyzer profile "low m/z", analyzer target resolution 12500 acquiring in mass range 500 – 9000 m/z. Nitrogen was used as collision gas in HCD cell at relative gas pressure setting 7.0 with gentle collisional activation by 10 V HCD voltage gradient.Data processing:Raw spectra were averaged over at least 50 scans for mass deconvolution and peak assignment in UniDec 4.4.1 package (Marty et al., 2015). The averaged spectra were exported for ZENODO deposition using Thermo Scientific FreeStyle 1.5.93.34 as single-scan Thermo .raw files (including instrumental parameters metadata) as well as in plain m/z vs intensity .txt files.

opencc-by-4.0Oct 2021View details →

Double-stranded RNA structural elements holding the key to translational regulation in cancer: the case of editing in RNA Binding Motif Protein 8A

Raw data supporting the manuscript Abukar, A.;Wipplinger, M.; Hariharan, A.; Sun, S.; Ronner, M.; Sculco, M.; Okonska, A.; Kresoja-Rakic, J.; Rehrauer, H.; Qi, W.; et al. Double-Stranded RNA Structural Elements Holding the Key to Translational Regulation in Cancer: The Case of Editing in RNA-Binding Motif Protein 8A. Cells 2021, 10, 3543. https://doi.org/10.3390/ cells10123543

Webinar: Can digital platforms be democratically regulated?

(Originally published on YouTube on October 1, 2021: https://www.youtube.com/watch?v=TZuuAelRjyo) Big Data and Artificial Intelligence are part of a larger digital transformation. Today, the GAFA (Google, Apple, Facebook, Amazon) companies have gained dominance, not only in marketing and communication but also in other fields. Power asymmetries also have geostrategic implications in the rivalry between the United States and China. With data protection regulation, the European Union, Brasil, and other countries are pursuing a regulatory model in the digital realm. I will discuss the opportunities of this regulation for preserving privacy and democratic values in society. Ingrid Schneider is professor of political science in the center “Ethics in Information Technology” at University of Hamburg in Germany. With FGV, she is part of the EU-funded project PRODIGEES (Promoting Research on Digitalisation in Emerging Powers and Europe Towards Sustainable Development) which she will also present in her lecture. In 2022, she will be a guest researcher at FGV in Rio. <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbjlRbVhkVFdVa1c5RExpNkNzV2xhWFpna3Awd3xBQ3Jtc0tuT0NtUUpoSWhKWUhWRWZHMVFLZVBtdzdqYUgwaWk2UU5EV2RGODBmbFJRY214cUNZcVFNMXYwQklKRHpUVUdHOWJMQXdwRFNOemc5dUFYUUxXdTdZT1F4ZE1oRzFBZEQ4WGQxVEFZd3FWc3NXNk5mSQ&q=https%3A%2F%2Fblogs.die-gdi.de%2Flongform%2Fprodigees%2F">https://blogs.die-gdi.de/longform/pro...</a> Website professor Schneider: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0VMZlZnQUxRcnN1aWNoNnRDaVVVY2RKVlBUZ3xBQ3Jtc0trYlB2czNMTHozVl9VNEtMSE9pbUtBNy1ESmczcTZMNEluc3hLZ0oyeksyREtnQ2gtYWdFWUZvX3p4RVdXVmlQVThqRkRvOUJOSGdRQmpQTVhDWDRrTUlTTm9BSDdXemlWUXgxRzJkYnN2MUY1SWhUTQ&q=http%3A%2F%2Fuhh.de%2Finf-schneider">http://uhh.de/inf-schneider</a>   Speakers: Ingrid Schneider - Prof. Dr. Universität Hamburg | Department of Informatics Ethics in Information Technology   Moderator: Bernardo Fajardo - Coordenador da Graduação em Administação FGV EBAPE This was an event organized by FGV EBAPE on 10/01/2021

SHAPE datasets from manuscript: Modulation of pre-mRNA structure by hnRNP proteins regulates alternative splicing of MALT1

Normalized SHAPE reactivity for the MALT1 M1 minigene RNA constructs (wildtype, variant 1, and variant 2) reported in the manuscript titled 'Modulation of pre-mRNA structure by hnRNP proteins regulates alternative splicing of MALT1' .

opencc-by-4.0Jan 2022View details →

# Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease

Dysregulation of gene expression in Alzheimer’s disease (AD) remains elusive, especially at the cell type level. Gene regulatory network, a key molecular mechanism linking transcription factors (TFs) and regulatory elements to govern target gene expression, can change across cell types in the human brain and thus serve as a model for studying gene dysregulation in AD. However, it is still challenging to understand how cell type networks work abnormally under AD. To address this, we integrated single-cell multi-omics data and predicted the gene regulatory networks in AD and control for four major cell types, excitatory and inhibitory neurons, microglia and oligodendrocytes. Importantly, we applied network biology approaches to analyze the changes of network characteristics across these cell types, and between AD and control. For instance, many hub TFs target different genes between AD and control (rewiring). Also, these networks show strong hierarchical structures in which top TFs (master regulators) are largely common across cell types, whereas different TFs operate at the middle levels in some cell types (e.g., microglia). The regulatory logics of enriched network motifs (e.g., feed-forward loops) further uncover cell type-specific TF-TF cooperativities in gene regulation. The cell type networks are highly modular and several network modules with cell-type-specific expression changes in AD pathology are enriched with AD-risk genes and putative targets of approved and pending AD drugs, suggesting possible cell-type genomic medicine in AD. Finally, using the cell type gene regulatory networks, we developed machine learning models to classify and prioritize additional AD genes. We found that top prioritized genes predict clinical phenotypes (e.g., cognitive impairment) with reasonable accuracy. Overall, this single-cell network biology analysis provides a comprehensive map linking genes, regulatory networks, cell types and drug targets and reveals dysregulated cell type gene dysregulatory mechanisms in AD.

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Immuno-proteomic profiling reveals aberrant immune cell regulation in the airways of individuals with ongoing post-COVID-19 respiratory disease

Some patients hospitalized with acute COVID-19 suffer respiratory symptoms that persist for many months. We delineated the immune-proteomic landscape in the airway and peripheral blood of healthy controls and post-COVID-19 patients 3 to 6 months after hospital discharge. Post-COVID-19 patients showed abnormal airway (but not plasma) proteomes, with elevated concentration of proteins associated with apoptosis, tissue repair and epithelial injury versus healthy individuals. Increased numbers of cytotoxic lymphocytes were observed in individuals with greater airway dysfunction, while increased B cell numbers and altered monocyte subsets were associated with more widespread lung abnormalities. 1 year follow-up of some post-COVID-19 patients indicated that these abnormalities resolved over time. In summary, COVID-19 causes a prolonged change to the airway immune landscape in those with persistent lung disease, with evidence of cell death and tissue repair linked to ongoing activation of cytotoxic T cells.

opencc-zeroJan 2022View details →

RNAseq sequences of the study "Transactive response DNA-binding Protein (TARDBP/TDP-43) regulates early HIV-1 entry and infection" (1/2)

Each pair of FASTQ files corresponds to a specific sample condition: <table> <thead> <tr> <th scope="col">Condition</th> <th scope="col">Sample</th> <th scope="col">FASTQ name R1</th> <th scope="col">FASTQ name R2</th> </tr> </thead> <tbody> <tr> <td>Cneg</td> <td>RNASEQ-AVF1</td> <td>RNASEQ-AVF1_S1_R1_001.fastq.gz</td> <td>RNASEQ-AVF1_S1_R2_001.fastq.gz</td> </tr> <tr> <td>Flag-wt-TDP-43</td> <td>RNASEQ-AVF2</td> <td>RNASEQ-AVF2_S2_R1_001.fastq.gz</td> <td>RNASEQ-AVF2_S2_R2_001.fastq.gz</td> </tr> <tr> <td>Flag-NLS-mut-TDP-43</td> <td>RNASEQ-AVF3</td> <td>RNASEQ-AVF3_S3_R1_001.fastq.gz</td> <td>RNASEQ-AVF3_S3_R2_001.fastq.gz</td> </tr> <tr> <td>Cneg</td> <td>RNASEQ-AVF4</td> <td>RNASEQ-AVF4_S4_R1_001.fastq.gz</td> <td>RNASEQ-AVF4_S4_R2_001.fastq.gz</td> </tr> <tr> <td>Scramble</td> <td>RNASEQ-AVF5</td> <td>RNASEQ-AVF5_S5_R1_001.fastq.gz</td> <td>RNASEQ-AVF5_S5_R2_001.fastq.gz</td> </tr> <tr> <td>TDP-43 siRNA A</td> <td>RNASEQ-AVF6</td> <td>RNASEQ-AVF6_S6_R1_001.fastq.gz</td> <td>RNASEQ-AVF6_S6_R2_001.fastq.gz</td> </tr> <tr> <td>TDP-43 siRNA B</td> <td>RNASEQ-AVF7</td> <td>RNASEQ-AVF7_S7_R1_001.fastq.gz</td> <td>RNASEQ-AVF7_S7_R2_001.fastq.gz</td> </tr> <tr> <td>TDP-43 siRNA C</td> <td>RNASEQ-AVF8</td> <td>RNASEQ-AVF8_S8_R1_001.fastq.gz</td> <td>RNASEQ-AVF8_S8_R2_001.fastq.gz</td> </tr> </tbody> </table>

RNAseq sequences of the study "Transactive response DNA-binding Protein (TARDBP/TDP-43) regulates early HIV-1 entry and infection" (2/2)

Each pair of FASTQ files corresponds to a specific sample condition: <table> <thead> <tr> <th scope="col">Condition</th> <th scope="col">Sample</th> <th scope="col">FASTQ name R1</th> <th scope="col">FASTQ name R2</th> </tr> </thead> <tbody> <tr> <td>TDP-43 siRNA D</td> <td>RNASEQ-AVF9</td> <td>RNASEQ-AVF9_S1_R1_001.fastq.gz</td> <td>RNASEQ-AVF9_S1_R2_001.fastq.gz</td> </tr> <tr> <td>Cneg</td> <td>RNASEQ-AVF10</td> <td>RNASEQ-AVF10_S2_R1_001.fastq.gz</td> <td>RNASEQ-AVF10_S2_R2_001.fastq.gz</td> </tr> <tr> <td>Flag-wt-TDP-43</td> <td>RNASEQ-AVF11</td> <td>RNASEQ-AVF11_S3_R1_001.fastq.gz</td> <td>RNASEQ-AVF11_S3_R2_001.fastq.gz</td> </tr> <tr> <td>Flag-NLS-mut-TDP-43</td> <td>RNASEQ-AVF12</td> <td>RNASEQ-AVF12_S4_R1_001.fastq.gz</td> <td>RNASEQ-AVF12_S4_R2_001.fastq.gz</td> </tr> <tr> <td>Cneg</td> <td>RNASEQ-AVF13</td> <td>RNASEQ-AVF13_S5_R1_001.fastq.gz</td> <td>RNASEQ-AVF13_S5_R2_001.fastq.gz</td> </tr> <tr> <td>Scramble</td> <td>RNASEQ-AVF14</td> <td>RNASEQ-AVF14_S6_R1_001.fastq.gz</td> <td>RNASEQ-AVF14_S6_R2_001.fastq.gz</td> </tr> <tr> <td>Oligos B+C</td> <td>RNASEQ-AVF15</td> <td>RNASEQ-AVF15_S7_R1_001.fastq.gz</td> <td>RNASEQ-AVF15_S7_R2_001.fastq.gz</td> </tr> <tr> <td>Oligos A+B+C</td> <td>RNASEQ-AVF16</td> <td>RNASEQ-AVF16_S8_R1_001.fastq.gz</td> <td>RNASEQ-AVF16_S8_R2_001.fastq.gz</td> </tr> </tbody> </table>

opencc-by-4.0Feb 2022View details →

Summary Statistics from "Genetically regulated gene expression and proteins revealed discordant effects" (LWAS of biomarker)

Summary statistics of 92 blood protein levels. The corresponding publication is currently under revision.  The zipped txt file is tab-delimited and contains the following columns: <ul> <li>protein: protein name abbreviation</li> <li>cytoband: genomic region</li> <li>gene: gene name abbreviation</li> <li>setting: either "combined" (adj. for sex & age) or sex-stratified ("males", "females"; adj. for age)</li> <li>variant_id_hg19: SNP ID according to hg19</li> <li>variant_id_hg38: SNP ID according to hg19</li> <li>chr: chromosome</li> <li>pos_hg19: base position according to hg19</li> <li>pos_hg38: base position according to hg19</li> <li>effect_allele: also known as counted allele in additive model</li> <li>other_allele: not-counted allele</li> <li>eaf: effect allele frequency</li> <li>maf: minor allele frequency</li> <li>info: imputation info score</li> <li>n_samples: number of samples</li> <li>beta: effect estimate</li> <li>se: standard error</li> <li>zscore: Z-statistic</li> <li>pvalue: p-value</li> <li>FDR: FDR by gene and setting</li> <li>BBFDR: hierarchical FDR by setting</li> <li>hierFDR: TRUE if SNP is significant after hierarchical FDR</li> </ul>

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The yellow gene regulates behavioral plasticity by repressing male courtship in Bicyclus anynana butterflies

Seasonal plasticity in male courtship in Bicyclus anynana butterflies is due to variation in levels of the steroid hormone 20E (20-hydroxyecdysone) during pupation. Wet season (WS) males have high levels of 20E and become active courters. Dry season (DS) males, have lower levels of 20E and reduced courtship rates, although WS courtship rates can be achieved if DS male pupae are injected with 20E at 30% of pupation. Here we investigated the genes involved in male courtship plasticity and examine whether 20E plays an organizational role in the pupal brain that later influences the sexual behaviour of adults. We show that DS pupal brains have a 7-fold upregulation of the yellow gene relative to the WS and that knocking out yellow leads to increased male courtship. We find that injecting 20E into DS pupa reduced yellow expression although not significantly. Our results show that yellow is a repressor of the neural circuity for male courtship behaviour in B. anynana. 20E levels experienced during pupation could play an organizational role during pupal brain development by regulating yellow expression, however, other factors might also be involved. Our findings are in striking contrast to Drosophila where yellow is required for male courtship.

opencc-zeroMar 2022View details →

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Data from: Cortico-Fugal regulation of predictive coding

Sensory systems must account for both contextual factors and prior experience to adaptively engage with the dynamic external environment. In the central auditory system, neurons modulate their responses to sounds based on statistical context. These response modulations can be understood through a hierarchical predictive coding lens: responses to repeated stimuli are progressively decreased, in a process known as repetition suppression, whereas unexpected stimuli produce a prediction error signal. Prediction error incrementally increases along the auditory hierarchy from the inferior colliculus (IC) to the auditory cortex (AC), suggesting that these regions may engage in hierarchical predictive coding. A potential substrate for top-down predictive cues is the massive set of descending projections from the auditory cortex to subcortical structures. To assess the role of these projections in predictive coding, we optogenetically suppressed the auditory cortico-collicular feedback in awake mice while recording responses from IC neurons to stimuli designed to test prediction error and repetition suppression. Suppression of the cortico-collicular pathway led to a decrease in prediction error in IC. Repetition suppression was unaffected by cortico-collicular inactivation, suggesting that this metric may reflect fatigue of bottom-up sensory inputs rather than predictive processing. We also discovered populations of IC neurons that exhibit repetition enhancement, an increase in firing with stimulus repetition, and error suppression, a stronger response to a tone in a predictable rather than unpredictable context. Cortico-collicular suppression led to a decrease in repetition enhancement in the central nucleus and a reduction in error suppression in shell regions of IC. These changes in predictive coding metrics arose from bidirectional modulations in the response to the standard and deviant contexts, such that neurons in IC responded more similarly to each context in the absence of cortical input. Our results demonstrate that the auditory cortex provides cues about the statistical context of sound to subcortical brain regions via direct feedback, regulating processing of both prediction and repetition.

opencc-zeroApr 2022View details →

Lipogenesis mediated by OGR1 regulates metabolic adaptation to acid stress in cancer cells via autophagy

Malignant tumors exhibit altered metabolism resulting in a highly acidic extracellular microenvironment. Here we show that cytoplasmic lipid droplet (LD) accumulation, indicative of a lipogenic phenotype is a cellular adaption to extracellular acidity. LD marker PLIN2, is strongly associated with poor overall survival in breast cancer patients. Acid-induced LD accumulation is triggered by activation of the acid-sensing GPCR, OGR1 expressed highly in breast tumors. OGR1 depletion inhibited acid induced lipid accumulation while activation by synthetic agonist triggered LD formation. Inhibition of OGR1 downstream signaling abrogated the lipogenic phenotype which could be rescued with OGR1 ectopic expression. OGR1 depleted cells showed growth inhibition under acidic growth conditions in vitro and tumor formation in vivo. Isotope tracing showed that the source of lipid precursors is primarily autophagy-derived ketogenic amino acids. OGR1 depleted cells were defective in endoplasmic reticulum stress response and autophagy, hence failed to accumulate LDs affecting survival under acidic stress.

CROSSBOW HLU2-UC6-TC1 Economical benefit of mFRR market participation with 5% of energy saved for upward regulation

The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation. Additionally, the process is configurable so that it can save a given amount of the potential generation, do not offering this energy in the DA/ID market but offering it for upward regulation in the mFRR. This upward regulation can only be done with Renewables by means of not selling part of the forecasted energy. This is a risk, as the upward regulation energy might not be requested by the operator, and thus the profit for the generation will be lost. This dataset contains the results of the market participation algorithm running for a week, configured for offering 5% of the forecasted energy for upward regulation. Dataset contains the results for the CROSSBOW portfolios of Croatia, Bulgaria, Romania and Greece. For each country, hour by hour, the following information is provided: <ul> <li>Energy sold in IDM</li> <li>Forecasted generation</li> <li>Energy sold mFRR down</li> <li>Energy sold mFRR up</li> <li>Energy price mFRR down</li> <li>Energy price mFRR up</li> <li>Energy price in IDM</li> <li>Energy looses (saved and not sold in mFRR up)</li> </ul>

CROSSBOW HLU2-UC6-TC1 Economical benefit of mFRR market participation with 20% of energy saved for upward regulation

The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation. Additionally, the process is configurable so that it can save a given amount of the potential generation, do not offering this energy in the DA/ID market but offering it for upward regulation in the mFRR. This upward regulation can only be done with Renewables by means of not selling part of the forecasted energy. This is a risk, as the upward regulation energy might not be requested by the operator, and thus the profit for the generation will be lost. This dataset contains the results of the market participation algorithm running for a week, configured for offering 20% of the forecasted energy for upward regulation. Dataset contains the results for the CROSSBOW portfolios of Croatia, Bulgaria, Romania and Greece. For each country, hour by hour, the following information is provided: <ul> <li>Energy sold in IDM</li> <li>Forecasted generation</li> <li>Energy sold mFRR down</li> <li>Energy sold mFRR up</li> <li>Energy price mFRR down</li> <li>Energy price mFRR up</li> <li>Energy price in IDM</li> <li>Energy looses (saved and not sold in mFRR up)</li> </ul>

p53 alters intracellular Ca2+ signaling through regulation of TRPM4

Altered expression of transient receptor potential channel melastatin 4 (TRPM4) contributes to several malignancies, including cardiac conduction diseases, immune diseases, and cancer. Yet the underlying mechanisms of TRPM4 expression changes remain elusive.In this study, we report that loss of tumor suppressor protein p53 or p63γ function or mutation of a putative p53 response element in the TRPM4 promoter region increase TRPM4 promoter activity in the colorectal cancer cell line HCT 116. In cells that lack p53 expression, we observed increased TRPM4 mRNA and protein levels and TRPM4-mediated Na+ currents. This phenotype can be reversed by transient overexpression of p53. In the prostate cancer cell line LNCaP, which expresses p53 endogenously, p53 overexpression decreases TRPM4-mediated currents. As in other cancer cells, CRISPRcas9 mediated knockout of TRPM4 in p53 deficient HCT 116 cells results in increased store-operated Ca2+entry. The effect of the TRPM4 knockout is mimicked by p53 mediated suppression of TRPM4 in the parental cell line expressing TRPM4. In addition, a TRPM4 knockout-mediated shift in cell cycle is abolished upon loss of p53.Taken together, these findings indicate that p53 represses TRPM4 expression, thereby altering cellular Ca2+ signaling and that TRPM4 adds to cell cycle shift dependent on p53 signaling.