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12,683 results for “tolerability”
Transcriptomic atlas reveals organ-specific disease tolerance in sickle cell mice. Dataset for HbAA livers injected or not with heme
<p>The objective of this experiment was to explore the <span>transcriptome</span> of the <span>HbSS Townes</span> <span>mouse model</span> of <span>sickle cell disease</span>.<span>Townes model mice carry several human hemoglobin <span>knock-in</span> genes replacing the endogenous mouse genes and may be useful in studying <span>sickle cell disease</span>.</span>All mice were <span>genotyped</span>, age- and sex-matched littermates. All <span>HbAA</span> (control, normal human hemoglobin) vs HbSS (<span>sickle cell disease</span>, mutated human hemoglobin) mice were used for experimentations at 6-8 weeks of age, to limit intra-group <span>heterogeneity</span>. <span>Hemin</span> (<span>Ferriprotoporphyrin IX</span>) was purchased from <span>Frontiers Scientific</span> and injected <span>intravenously</span> (iv.) in a retroorbital sinus at a concentration of 24 µmol/kg. Control mice received <span>PBS</span> instead. Mice were anesthetized with <span>isoflurane</span> 2-3% for injections, blood collection and sacrifice. All mice were sacrificed by cervical dislocation, 4 hours after injection.</p> <p>The results of <span>livers (indicated foie)</span> from HbAA mice injected or not with <span>heme</span> are presented here . </p> <p>The results of <span>livers <span>(indicated foie)</span></span> from <span>HbSS</span> mice injected or not with <span>heme</span> can be found at number <a href="https://doi.org/10.5281/zenodo.10962971">10.5281/zenodo.10962971</a>. </p> <p>Thirty μm-thick frozen tissue sections of <span>livers</span> were cut as above and homogenized in 200μL of 1-Thioglycerol/Homogenization Solution (Maxwell® 16 LEV simplyRNA Tissue Kit <span>Promega</span> AS1280). The quality and quantity of mRNA were evaluated using a 2100 bioanalyzer with TNA 6000 NanoKits (all <span>Agilent Technologies</span>, <span>Palo Alto, CA</span>, <span>USA</span>). RNA Integrity Numbers superior to 7 were eligible for subsequent <span>reverse transcription</span> into <span>cDNA</span>. <span>RNAseq</span> was performed at the GenomIC plateform <span>Cochin</span> Institute INSERM U1016. After <span>RNA extraction</span>, RNA quality (<span>RNA integrity number</span>) was estimated. 1μg of high-quality total RNA sample (RIN &gt;7) was processed to build up the libraries, using TruSeq Stranded mRNA kit (<span>Illumina</span>) according to manufacturer instructions. Briefly, purified <span>poly-A</span> containing mRNA molecules were fragmented and <span>reverse-transcribed</span> using random <span>primers</span>. Replacement of dTTP by dUTP during second strand synthesis allowed us to achieve strand specificity. Addition of a single A base to the <span>cDNA</span> was followed by <span>ligation</span> of <span>Illumina</span> adapters.<br>Libraries were quantified by <span>qPCR</span> using <span>KAPA Library Quantification</span> Kits for <span>Illumina</span> Libraries (KapaBiosystems, <span>Wilmington</span>, MA). Library profiles were assessed using DNA High Sensitivity LabChip kits on an <span>Agilent</span> Bioanalyzer. Libraries were sequenced on an <span>Illumina</span> Nextseq 500 instrument using 75 base-lengths read V2 chemistry in a <span>paired-end</span> mode. After sequencing, primary analysis based on AOZAN software (ENS, <span>Paris</span>), was applied to <span>demultiplex</span> and control the quality of the <span>raw data</span> (based of FastQC modules / version 0.11.5).</p> <p>The dataset here represents 4 groups of mice, 4 mice per group as follows: HbAA <span>PBS</span>, HbAA <span>heme</span>, HbSS <span>PBS</span>, <span>HbSS</span> <span>heme</span>. </p>
Transcriptomic atlas reveals organ-specific disease tolerance in sickle cell mice. Dataset for HbAA kidneys injected or not with heme
<p>The objective of this experiment was to explore the <span>transcriptome</span> of the <span>HbSS Townes</span> <span>mouse model</span> of <span>sickle cell disease</span>.Townes model mice carry several human hemoglobin <span>knock-in</span> genes replacing the endogenous mouse genes and may be useful in studying <span>sickle cell disease</span>.All mice were <span>genotyped</span>, age- and sex-matched littermates. All <span>HbAA</span> (control, normal human hemoglobin) vs HbSS (<span>sickle cell disease</span>, mutated human hemoglobin) mice were used for experimentations at 6-8 weeks of age, to limit intra-group <span>heterogeneity</span>. <span>Hemin</span> (<span>Ferriprotoporphyrin IX</span>) was purchased from <span>Frontiers Scientific</span> and injected <span>intravenously</span> (iv.) in a retroorbital sinus at a concentration of 24 µmol/kg. Control mice received <span>PBS</span> instead. Mice were anesthetized with <span>isoflurane</span> 2-3% for injections, blood collection and sacrifice. All mice were sacrificed by cervical dislocation, 4 hours after injection.</p> <p>The results of kidney (indicated rein) from HbAA mice injected or not with <span>heme</span> are presented here . </p> <p>The results of kidney (indicated rein) from HbSS mice injected or not with <span>heme</span> can be found at number </p> <p>Thirty μm-thick frozen tissue sections of kidneys were cut as above and homogenized in 200μL of 1-Thioglycerol/Homogenization Solution (Maxwell® 16 LEV simplyRNA Tissue Kit <span>Promega</span> AS1280). The quality and quantity of mRNA were evaluated using a 2100 bioanalyzer with TNA 6000 NanoKits (all <span>Agilent Technologies</span>, <span>Palo Alto, CA</span>, <span>USA</span>). RNA Integrity Numbers superior to 7 were eligible for subsequent <span>reverse transcription</span> into <span>cDNA</span>. <span>RNAseq</span> was performed at the GenomIC plateform <span>Cochin</span> Institute INSERM U1016. After <span>RNA extraction</span>, RNA quality (<span>RNA integrity number</span>) was estimated. 1μg of high-quality total RNA sample (RIN &gt;7) was processed to build up the libraries, using TruSeq Stranded mRNA kit (<span>Illumina</span>) according to manufacturer instructions. Briefly, purified <span>poly-A</span> containing mRNA molecules were fragmented and <span>reverse-transcribed</span> using random <span>primers</span>. Replacement of dTTP by dUTP during second strand synthesis allowed us to achieve strand specificity. Addition of a single A base to the <span>cDNA</span> was followed by <span>ligation</span> of <span>Illumina</span> adapters.<br>Libraries were quantified by <span>qPCR</span> using <span>KAPA Library Quantification</span> Kits for <span>Illumina</span> Libraries (KapaBiosystems, <span>Wilmington</span>, MA). Library profiles were assessed using DNA High Sensitivity LabChip kits on an <span>Agilent</span> Bioanalyzer. Libraries were sequenced on an <span>Illumina</span> Nextseq 500 instrument using 75 base-lengths read V2 chemistry in a <span>paired-end</span> mode. After sequencing, primary analysis based on AOZAN software (ENS, <span>Paris</span>), was applied to <span>demultiplex</span> and control the quality of the <span>raw data</span> (based of FastQC modules / version 0.11.5).</p> <p>The dataset here represents 4 groups of mice, 4 mice per group as follows: HbAA <span>PBS</span>, HbAA <span>heme</span>, HbSS <span>PBS</span>, <span>HbSS</span> <span>heme</span>. </p>
Transcriptomic atlas reveals organ-specific disease tolerance in sickle cell mice. Dataset for HbSS lung injected or not with heme
<p>The objective of this experiment was to explore the transcriptome of the HbSS Townes mouse model of sickle cell disease.Townes model mice carry several human hemoglobin knock-in genes replacing the endogenous mouse genes and may be useful in studying sickle cell disease.All mice were genotyped, age- and sex-matched littermates. All HbAA (control, normal human hemoglobin) vs HbSS (sickle cell disease, mutated human hemoglobin) mice were used for experimentations at 6-8 weeks of age, to limit intra-group heterogeneity. Hemin (Ferriprotoporphyrin IX) was purchased from Frontiers Scientific and injected intravenously (iv.) in a retroorbital sinus at a concentration of 24 µmol/kg. Control mice received PBS instead. Mice were anesthetized with isoflurane 2-3% for injections, blood collection and sacrifice. All mice were sacrificed by cervical dislocation, 4 hours after injection.</p> <p>The results of lung (indicated poumon) from HbSS mice injected or not with heme are presented here . </p> <p>The results of lung (indicated poumon) from HbAA mice injected or not with heme can be found at number 10.5281/zenodo.10965912</p> <p>Thirty μm-thick frozen tissue sections of lungs were cut as above and homogenized in 200μL of 1-Thioglycerol/Homogenization Solution (Maxwell® 16 LEV simplyRNA Tissue Kit Promega AS1280). The quality and quantity of mRNA were evaluated using a 2100 bioanalyzer with TNA 6000 NanoKits (all Agilent Technologies, Palo Alto, CA, USA). RNA Integrity Numbers superior to 7 were eligible for subsequent reverse transcription into cDNA. RNAseq was performed at the GenomIC plateform Cochin Institute INSERM U1016. After RNA extraction, RNA quality (RNA integrity number) was estimated. 1μg of high-quality total RNA sample (RIN &gt;7) was processed to build up the libraries, using TruSeq Stranded mRNA kit (Illumina) according to manufacturer instructions. Briefly, purified poly-A containing mRNA molecules were fragmented and reverse-transcribed using random primers. Replacement of dTTP by dUTP during second strand synthesis allowed us to achieve strand specificity. Addition of a single A base to the cDNA was followed by ligation of Illumina adapters.<br>Libraries were quantified by qPCR using KAPA Library Quantification Kits for Illumina Libraries (KapaBiosystems, Wilmington, MA). Library profiles were assessed using DNA High Sensitivity LabChip kits on an Agilent Bioanalyzer. Libraries were sequenced on an Illumina Nextseq 500 instrument using 75 base-lengths read V2 chemistry in a paired-end mode. After sequencing, primary analysis based on AOZAN software (ENS, Paris), was applied to demultiplex and control the quality of the raw data (based of FastQC modules / version 0.11.5).</p> <p>The dataset here represents 4 groups of mice, 4 mice per group as follows: HbAA PBS, HbAA heme, HbSS PBS, HbSS heme. </p>
Transcriptomic atlas reveals organ-specific disease tolerance in sickle cell mice. Dataset for HbAA lung injected or not with heme
<div> <div> <p>The objective of this experiment was to explore the transcriptome of the HbSS Townes mouse model of sickle cell disease.Townes model mice carry several human hemoglobin knock-in genes replacing the endogenous mouse genes and may be useful in studying sickle cell disease.All mice were genotyped, age- and sex-matched littermates. All HbAA (control, normal human hemoglobin) vs HbSS (sickle cell disease, mutated human hemoglobin) mice were used for experimentations at 6-8 weeks of age, to limit intra-group heterogeneity. Hemin (Ferriprotoporphyrin IX) was purchased from Frontiers Scientific and injected intravenously (iv.) in a retroorbital sinus at a concentration of 24 µmol/kg. Control mice received PBS instead. Mice were anesthetized with isoflurane 2-3% for injections, blood collection and sacrifice. All mice were sacrificed by cervical dislocation, 4 hours after injection.</p> <p>The results of lung (indicated poumon) from HbAA mice injected or not with heme are presented here . </p> <p>The results of lung (indicated poumon) from HbSS mice injected or not with heme can be found at number 10.5281/zenodo.10966094</p> <p>Thirty μm-thick frozen tissue sections of lungs were cut as above and homogenized in 200μL of 1-Thioglycerol/Homogenization Solution (Maxwell® 16 LEV simplyRNA Tissue Kit Promega AS1280). The quality and quantity of mRNA were evaluated using a 2100 bioanalyzer with TNA 6000 NanoKits (all Agilent Technologies, Palo Alto, CA, USA). RNA Integrity Numbers superior to 7 were eligible for subsequent reverse transcription into cDNA. RNAseq was performed at the GenomIC plateform Cochin Institute INSERM U1016. After RNA extraction, RNA quality (RNA integrity number) was estimated. 1μg of high-quality total RNA sample (RIN &gt;7) was processed to build up the libraries, using TruSeq Stranded mRNA kit (Illumina) according to manufacturer instructions. Briefly, purified poly-A containing mRNA molecules were fragmented and reverse-transcribed using random primers. Replacement of dTTP by dUTP during second strand synthesis allowed us to achieve strand specificity. Addition of a single A base to the cDNA was followed by ligation of Illumina adapters.<br>Libraries were quantified by qPCR using KAPA Library Quantification Kits for Illumina Libraries (KapaBiosystems, Wilmington, MA). Library profiles were assessed using DNA High Sensitivity LabChip kits on an Agilent Bioanalyzer. Libraries were sequenced on an Illumina Nextseq 500 instrument using 75 base-lengths read V2 chemistry in a paired-end mode. After sequencing, primary analysis based on AOZAN software (ENS, Paris), was applied to demultiplex and control the quality of the raw data (based of FastQC modules / version 0.11.5).</p> <p>The dataset here represents 4 groups of mice, 4 mice per group as follows: HbAA PBS, HbAA heme, HbSS PBS, HbSS heme. </p> </div> </div>
Transcriptomic atlas reveals organ-specific disease tolerance in sickle cell mice. Dataset for HbSS heart injected or not with heme
<div> <p>The objective of this experiment was to explore the <span>transcriptome</span> of the <span>HbSS Townes</span> <span>mouse model</span> of <span>sickle cell disease</span>.Townes model mice carry several human hemoglobin <span>knock-in</span> genes replacing the endogenous mouse genes and may be useful in studying <span>sickle cell disease</span>.All mice were <span>genotyped</span>, age- and sex-matched littermates. All <span>HbAA</span> (control, normal human hemoglobin) vs HbSS (<span>sickle cell disease</span>, mutated human hemoglobin) mice were used for experimentations at 6-8 weeks of age, to limit intra-group <span>heterogeneity</span>. <span>Hemin</span> (<span>Ferriprotoporphyrin IX</span>) was purchased from <span>Frontiers Scientific</span> and injected <span>intravenously</span> (iv.) in a retroorbital sinus at a concentration of 24 µmol/kg. Control mice received <span>PBS</span> instead. Mice were anesthetized with <span>isoflurane</span> 2-3% for injections, blood collection and sacrifice. All mice were sacrificed by cervical dislocation, 4 hours after injection.</p> <p>The results of heart (indicated coeur) from HbSS mice injected or not with <span>heme</span> are presented here . </p> <p>The results of heart (indicated coeur) from <span>HbAA</span> mice injected or not with <span>heme</span> can be found at number 10.5281/zenodo.10964042</p> <p>Thirty μm-thick frozen tissue sections of kidneys were cut as above and homogenized in 200μL of 1-Thioglycerol/Homogenization Solution (Maxwell® 16 LEV simplyRNA Tissue Kit <span>Promega</span> AS1280). The quality and quantity of mRNA were evaluated using a 2100 bioanalyzer with TNA 6000 NanoKits (all <span>Agilent Technologies</span>, <span>Palo Alto, CA</span>, <span>USA</span>). RNA Integrity Numbers superior to 7 were eligible for subsequent <span>reverse transcription</span> into <span>cDNA</span>. <span>RNAseq</span> was performed at the GenomIC plateform <span>Cochin</span> Institute INSERM U1016. After <span>RNA extraction</span>, RNA quality (<span>RNA integrity number</span>) was estimated. 1μg of high-quality total RNA sample (RIN &gt;7) was processed to build up the libraries, using TruSeq Stranded mRNA kit (<span>Illumina</span>) according to manufacturer instructions. Briefly, purified <span>poly-A</span> containing mRNA molecules were fragmented and <span>reverse-transcribed</span> using random <span>primers</span>. Replacement of dTTP by dUTP during second strand synthesis allowed us to achieve strand specificity. Addition of a single A base to the <span>cDNA</span> was followed by <span>ligation</span> of <span>Illumina</span> adapters.<br>Libraries were quantified by <span>qPCR</span> using <span>KAPA Library Quantification</span> Kits for <span>Illumina</span> Libraries (KapaBiosystems, <span>Wilmington</span>, MA). Library profiles were assessed using DNA High Sensitivity LabChip kits on an <span>Agilent</span> Bioanalyzer. Libraries were sequenced on an <span>Illumina</span> Nextseq 500 instrument using 75 base-lengths read V2 chemistry in a <span>paired-end</span> mode. After sequencing, primary analysis based on AOZAN software (ENS, <span>Paris</span>), was applied to <span>demultiplex</span> and control the quality of the <span>raw data</span> (based of FastQC modules / version 0.11.5).</p> <p>The dataset here represents 4 groups of mice, 4 mice per group as follows: HbAA <span>PBS</span>, HbAA <span>heme</span>, HbSS <span>PBS</span>, <span>HbSS</span> <span>heme</span>. </p> </div>
Acclimation of thermal tolerance in juvenile plants from three biomes is supressed when extremes co-occur
<p>Given the rising frequency of thermal extremes (heatwaves and cold snaps) due to climate change, comprehending how a plant's origin affects its thermal tolerance breadth becomes vital. We studied juvenile plants from three biomes: temperate coastal rainforest, desert, and alpine. In controlled settings, plants underwent hot days and cold nights in a factorial design to examine thermal tolerance acclimation. We assessed thermal thresholds (<em>T</em><sub>crit-hot</sub> and <em>T</em><sub>crit-cold</sub>) and thermal tolerance breadth (TTB). We hypothesised that: 1) desert species would show the highest heat tolerance, alpine the greatest cold tolerance, with temperate species intermediate; 2) all species would increase heat tolerance post hot days and cold tolerance after cold nights; 3) combined exposure would broaden TTB more than individual conditions, especially in desert and alpine species. We found that biome responses were minor compared to the responses to the extreme temperature treatments. All plants increased thermal tolerance in response to hot 40°C days (<em>T</em><sub>crit-hot</sub> increased by ~3.5°C) but there was minimal change in <em>T</em><sub>crit-cold</sub> in response to the cold -2°C nights. In contrast, when exposed to both hot days and cold nights, on average plants exhibited an antagonistic response in TTB, where cold tolerance decreased and heat tolerance was reduced, and so we did not see the bi-directional expansion we hypothesised. There was, however, considerable variation among species in these responses. As climate change intensifies, plant communities, especially in transitional seasons, will regularly face such temperature swings. Our results shed light on potential plant responses under these extremes, emphasizing the need for deeper species-specific thermal acclimation insights, ultimately guiding conservation efforts.</p>
Table 2 in Description of Epistylis camprubii n. sp., a Species Highly Tolerant to Ammonium and Nitrite
<p><b>Table 2.</b> Minimum (Min) and maximum values (Max) of the main physicochemical parameters in which <i>Epistylis camprubii</i> was observed, and comparison with available ecological data of other <i>Epistylis</i> species.</p><table><tbody><tr><th></th><th><i>Epistylis camprubii</i></th><th><i>E. chrysemydis</i></th><th><i>E. coronata</i></th><th><i>E. hentscheli</i></th><th><i>E. plicatilis</i></th><th><i>E. rotans / E. procumbens</i></th></tr></tbody><tbody><tr><th></th><td>Min–Max</td><td>Min–Max</td><td>Min–Max</td><td>Min–Max</td><td>Min–Max</td><td>Min–Max</td></tr><tr><th>Soluble Chemical Oxygen Demand (mg·L–1)</th><td>53.8–415.3</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Ammonium (N-NH +, mg·L–1) 4</th><td>0.54–491</td><td>2.1 <b>–</b> 5.9</td><td>0 <b>–</b> 1.6</td><td>0 <b>–</b> 1.9</td><td>0 <b>–</b> 27</td><td>0 <b>–</b> 0.018</td></tr><tr><th>Free ammonia (N-NH, mg·L–1) 3</th><td>0.024–18.01</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Nitrites (N-NO –, mg·L–1) 2</th><td>0–572.1</td><td>0.1 <b>–</b> 0.8</td><td>–</td><td>–</td><td>0 <b>–</b> 61</td><td>–</td></tr><tr><th>Free nitrous acid (N-HNO, mg·L–1) 2</th><td>0.00013–0.47</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Nitrates (N-NO –, mg·L–1) 3</th><td>0–321</td><td>1.5 <b>–</b> 4.2</td><td>–</td><td>–</td><td>0.14 <b>–</b> 52</td><td>–</td></tr><tr><th>Temperature (°C)</th><td>22.6–33.6</td><td>10 <b>–</b> 35</td><td>2 <b>–</b> 12</td><td>2 <b>–</b> 32</td><td>6.6 <b>–</b> 32</td><td>6 <b>–</b> 23</td></tr><tr><th>pH</th><td>6.3–8.66</td><td>7.0 <b>–</b> 8.6</td><td>7.2 <b>–</b> 7.6</td><td>7.0 <b>–</b> 8.6</td><td>4.7 <b>–</b> 8.5</td><td>7.2 <b>–</b> 7.8</td></tr></tbody></table>
Table 1 in Description of Epistylis camprubii n. sp., a Species Highly Tolerant to Ammonium and Nitrite
<p><b>Table 1.</b> Mean, standard deviation (SD), maximum values (Max), minimum values (Min), coefficient of variation (CV) and number of measurements realized (N) of morphological characteristics of <i>Epistylis camprubii</i>.</p><table><tbody><tr><th></th><th>Mean</th><th>SD</th><th>Max</th><th>Min</th><th>CV</th><th>N</th></tr></tbody><tbody><tr><th>Zooid length, <i>in vivo</i> (µm)</th><td>58.7</td><td>10.1</td><td>98.1</td><td>35.3</td><td>17.2</td><td>343</td></tr><tr><th>Zooid width, <i>in vivo</i> (µm)</th><td>32.0</td><td>5.4</td><td>65.2</td><td>18.0</td><td>16.8</td><td>342</td></tr><tr><th>Peristomial disc diameter, <i>in vivo</i> (µm)</th><td>15.5</td><td>1.9</td><td>21.3</td><td>11.2</td><td>12.1</td><td>94</td></tr><tr><th>Peristomial lip height, <i>in vivo</i> (µm)</th><td>7.8</td><td>1.2</td><td>10.6</td><td>5.0</td><td>15.9</td><td>149</td></tr><tr><th>Peristomial lip width, <i>in vivo</i> (µm)</th><td>24.2</td><td>2.9</td><td>31.7</td><td>16.2</td><td>11.8</td><td>110</td></tr><tr><th>Stalk width, <i>in vivo</i> (µm)</th><td>5.3</td><td>0.9</td><td>8.4</td><td>3.1</td><td>16.9</td><td>152</td></tr><tr><th>Number of silverlines from peristome to aboral trochal band</th><td>120.8</td><td>10.1</td><td>136.0</td><td>106.0</td><td>8.4</td><td>11</td></tr><tr><th>Number of silverlines from aboral trochal band to scopula</th><td>40.7</td><td>5.1</td><td>48.0</td><td>33.0</td><td>12.5</td><td>11</td></tr><tr><th>Macronucleous characteristics</th><td>C-shaped, transversely oriented, in the adoral half of the cell</td><td></td><td></td></tr><tr><th>Number of contractile vacuoles, position</th><td>One, in the adoral third of the body, on dorsal wall of vestibulum</td><td></td></tr></tbody></table>
Dataset for Interactive Profiling Narrative (IPN) with Toxicity Tolerance Score of each individual user to different categories of toxicity
<p>he dataset is the collection of the results of the Interactive Profiling Narrative that was developed as a part of the project Listener Aware Content Detoxification.<br>It contains the toxicity tolerance scores of each individual user to different categories.<br>High scores indicate that the user is extremely sensitive to the particular category where as low scores indicate that the user isn't that triggered by the category.Medium scores show moderate tolerance.</p> <p>Columns:<br>1.UserId: The unique id given to each user (helps preserve anonymity).<br>2.Race: The user's toxicity tolerance to the category race. High score means racist comment trigger them. <br>3.Sex: The user's toxicity tolerance to the category sexuality. High scores indicate sensitivity to comments on sexual identity.<br>4.Body_image: The user's sensitivity to comments regarding body image. High scores indicate that remarks on body appearance strongly affect the user.<br>5.Disability:The user's sensitivity to comments about disabilities. A high score means the user is highly sensitive to potentially ableist remarks.<br>6.Religion_culture: The user's sensitivity to content involving religion or culture. High scores show the user is easily triggered by insensitive comments about religious or cultural aspects.<br>7.Physical_abuse: User's sensitivity to comments regarding physical abuse. High scores indicate the user is strongly affected by remarks on physical abuse.<br>8.Mental_health: This measures the user's sensitivity to comments on mental health. High scores suggest that the user is particularly affected by comments stigmatizing mental health issues.<br>9.Politics:The user's sensitivity to political content. High scores indicate that political discussions or comments are likely to evoke a strong reaction in the user</p>
Data for "Freeze-tolerant crickets fortify their actin cytoskeleton in fat body tissue"
<p>These data files and code are associated with the scientific article <br>"Freeze-tolerant crickets fortify their actin cytoskeleton in fat body tissue."<br>This material is under the same copyright protections as the article itself.</p> <p>Please see the README.txt file for more information.</p>
TG 114: Reasonableness and Tolerability in the System Of Radiological Protection: ICRP TG114 On-Going Reflections
<p>The model of reasonableness and tolerability of radiological risk is a conceptual framework for the implementation of the ICRP principles of optimisation of protection (guided by constraints and reference levels) and application of dose limits, based mainly on the level of exposure, and closely related to the level of risk. Discussions about reasonableness and tolerability have been part of ICRP publications for many years, including the introduction of a model of risk tolerability in Publication 60. More recently, Publication 101 developed the approach to address the implementation of the optimisation process including the involvement of stakeholders and the way to elucidate what is reasonably achievable. Further considerations have been addressed while examining the ethic, identifying four core values underpinning the system of radiological protection (Publication 138). In 2019, ICRP has set up a dedicated task group (TG114) to review the historical and current perspectives on reasonableness and tolerability in order to consolidate and clarify Publication 103, and to prepare the considerations and basis needed for development of future recommendations.</p> <p>The ICRP on-going reflections on reasonableness and tolerability in the system of radiological protection have started to addressed a series of questions including, for example: What is the link between tolerable and reasonable? What are the considerations and criteria on which the concepts of tolerability and reasonableness are based? What are some strategies to assist in balancing competing values in determining what is tolerable and/or reasonable?</p> <p>For addressing these questions, the model of reasonableness and tolerability of radiological risk is revisited with the following objectives:</p> <ul> <li>Investigate the rational for the application of the tolerability of risk as well as the borders with unacceptable level of risks and compare with the approaches adopted for managing other risks.</li> <li>Better articulate the link between tolerability and reasonableness in the process of implementation the radiological protection system, with clarification on the criteria to be considered for defining “where we don’t want to go above” and which process could be put in place for evaluating “what is reasonable”.</li> <li>Refine the radiological criteria to be considered and their link with dose limits and reference levels, relying on the radiological detriment as benchmark for tolerability and reasonableness as well as using risk comparison but without limiting to numerical criteria.</li> <li>Emphasize the importance of the application of the model for the different exposure situations, including the deliberative process with the stakeholders for the implementation of the optimisation principle, referring to good judgement, fairness, practicability, and moderateness.</li> </ul> <p>Presented by Thierry Schneider on behalf of the whole Task Group.</p>
Colony-level mechanisms of thermal tolerance regulation in the ant Ectatomma ruidum
<p><span><span><span><span><span><span><span><span><span><span><span>1. Insects spend energy to function in high temperature environments, and because social insects employ a division of labor, it is likely that thermal tolerance varies among individuals in the colony, based on the tasks that they perform.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>2. Foraging workers of the ant Neotropical ant <i>Ectatomma ruidum </i>are known to show temporal differences in thermal tolerance, with greater tolerance in hot afternoons, relative to cool mornings.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>3. We developed three hypotheses that can account for temporal differences in thermal tolerance among workers: Thermal Acclimation, Division of Labor, and Circadian Rhythm.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>4. We tested these hypotheses with a pair of experiments that involved the measurement of thermal persistence of ants at a constant temperature in time-to-failure assays. The first experiment compared ants with different behavioral roles in colonies, and the second compared colonies subjected to thermal manipulations, then iteratively sampled at daily thermal maxima and minima.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>5. We found robust support for the Circadian Rhythm and Thermal Acclimation Hypotheses, and little support for the Division of Labor Hypothesis. Colonies of this species integrate multiple mechanisms of adapting to thermal challenges including time of day, ambient temperature, and the behavioral context of individual workers.</span></span></span></span></span></span></span></span></span></span></span></p>
Physiological and environmental data from: Are you ready for the heat? Plasticity vs adaptation of heat tolerance in three-spined stickleback
<p>Heat waves constitute a challenge for aquatic ectotherms. However, the thermal tolerance of animals and their individual phenotypic plasticity to respond to heat waves may be influenced by thermal history. We tested these hypotheses by comparing the upper thermal tolerance and the individual capacities of three-spined sticklebacks from populations with different thermal histories to respond to heat waves. Two populations originated from thermally polluted nuclear power plant (NPP) habitats, while four locations represented geographically adjacent control areas. To disentangle the genetic adaptation from the phenotypic plastic response, we measured the individual upper thermal tolerance and the responses at molecular level in common garden conditions before and after a laboratory-mimicked heat wave. We found that the sticklebacks exhibit considerable phenotypic plasticity in thermal tolerance since the heat wave increased fish upper thermal tolerance significantly. The individual plasticity to respond to the heat wave was also negatively correlated to initial thermal tolerance. On the other hand, neither the thermal tolerance nor the plastic responses differed between NPP and control sites despite detection of significant but low genome-wide divergence in 10 out of 15 pairwise comparisons. Our results suggest that five decades of nuclear power plant activity with warmer water has not resulted in a detectable evolutionary change in either the upper thermal tolerance or its plasticity in three-spined sticklebacks potentially rendering them sensitive to frequent heat waves.</p>
Demonstration of fault-tolerant universal quantum gate operations
<p>Source data underlying the graphical representations used in the figures and corresponding executed quantum circuits.</p>
TagSeq gene expression data from Acropora cervicornis genotypes exhibiting above or below average heat tolerance
<p>TagSeq data taken from Acropora cervicornis genotypes taken from nurseries in the Florida Reef tract and subjected to thermal stress. </p>
Dataset of the paper "A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements"
<p>Dataset for the paper "A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements" published in RTAS'22 conference</p>
Supplementary Table S5 - Article: Transcriptome Analysis Provides Novel Insights into Salinity Stress Response in two Egyptian Rice Varieties with Different Tolerance Levels
<p><strong>Table S5.</strong> Repository data showing genes identified by MapMan in Giza 178 in different pathways. </p> <p>A, Cell wall modifications.</p> <p>B, Hemicellulose synthesis.</p> <p>C, Cellulose synthesis.</p> <p>D, Mannan-xylose-arabinose-fucose. </p> <p>E, cell wall peroxidase.</p> <p>F, TF MYB. </p> <p>G, bZIP. </p> <p>H, Histone.</p>
Supplementary Table S4 - Article: Transcriptome Analysis Provides Novel Insights into Salinity Stress Response in two Egyptian Rice Varieties with Different Tolerance Levels
<p><strong>Table S4.</strong> Repository data showing genes identified by MapMan in Giza 177 in different pathways. </p> <p>A, Cell wall modifications.</p> <p>B, Hemicellulose synthesis.</p> <p>C, Cellulose synthesis.</p> <p>D, Mannan-xylose-arabinose-fucose.</p> <p>E, cell wall peroxidase.</p> <p>F, TF MYB. </p> <p>G, bZIP. </p> <p>H, Histone.</p>
Supplementary Table S2 - Article:Transcriptome Analysis Provides Novel Insights into Salinity Stress Response in two Egyptian Rice Varieties with Different Tolerance Levels
<p><strong>Table S2.</strong> Repository data for the global analysis produced for cv Giza 177. </p> <p>A, Up regulated genes observed when comparing salt stressed plants vs unstressed controls. </p> <p>B, Down regulated genes in Giza 177 observed when comparing salt stressed plants vs unstressed controls.</p> <p>C, Gene Ontology enrichment analysis (GOEA) results for Giza 177 up regulated genes. </p> <p>D, GOEA results for Giza 177 down regulated genes. </p>
Supplementary Table S3 - Article: Transcriptome Analysis Provides Novel Insights into Salinity Stress Response in two Egyptian Rice Varieties with Different Tolerance Levels
<p><strong>Table S3.</strong> Repository data for the global analysis produced for cv Giza 178. </p> <p>A, Up regulated genes observed when comparing salt stressed plants vs unstressed controls. </p> <p>B, Down regulated genes in Giza 178 observed when comparing salt stressed plants vs unstressed controls.</p> <p>C, Gene Ontology enrichment analysis (GOEA) results for Giza 178 up regulated genes. </p> <p>D, GOEA results for Giza 178 down regulated genes. </p>
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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.