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FIGURE 49 in Molecular and morphological studies identify a new genus within the Heterolepismatinae (Zygentoma: Lepismatidae)
FIGURE 49. Distribution of southern group species of Visma n. gen.
FIGURE 41. Visma tenebrosum n in Molecular and morphological studies identify a new genus within the Heterolepismatinae (Zygentoma: Lepismatidae)
FIGURE 41. Visma tenebrosum n. sp., t-annulus of antenna. Scale bar: 0.01 mm.
FIGURE 48 in Molecular and morphological studies identify a new genus within the Heterolepismatinae (Zygentoma: Lepismatidae)
FIGURE 48. Known distribution of Eastern NSW group species of Visma n. gen.
FIGURE 46 in Molecular and morphological studies identify a new genus within the Heterolepismatinae (Zygentoma: Lepismatidae)
FIGURE 46. Distribution of Visma pallidum n. sp.
FIGURE 42 in Molecular and morphological studies identify a new genus within the Heterolepismatinae (Zygentoma: Lepismatidae)
FIGURE 42. Visma aff. stilivarians compact papillae of the labial palp. Scale bar: 0.01 mm.
FIGURE 43. Visma bundjalung n in Molecular and morphological studies identify a new genus within the Heterolepismatinae (Zygentoma: Lepismatidae)
FIGURE 43. Visma bundjalung n. sp., posterior comb insertions of pronotum. Scale bar: 0.01 mm.
FIGURE 39. Visma pallidum n in Molecular and morphological studies identify a new genus within the Heterolepismatinae (Zygentoma: Lepismatidae)
FIGURE 39. Visma pallidum n. sp. Scales of scape and pedicel. Scale bar: 0.01 mm.
Figure 3 from: Bernstein A, Moore RS, Rhee LQ, Aronson DL, Katz DL (2021) A digital dietary assessment tool may help identify malnutrition and nutritional deficiencies in hospitalized patients. Research Ideas and Outcomes 7: e70642. https://doi.org/10.3897/rio.7.e70642
Figure 3 Results illustrating a select micronutrient profile which may be within or out of range for a sample patient with the following characteristics: 70 years old, male, height 5 foot 6 inches, weight 125 pounds, minimal physical activity, losing weight, following restrictive diet.
Figure 2 from: Bernstein A, Moore RS, Rhee LQ, Aronson DL, Katz DL (2021) A digital dietary assessment tool may help identify malnutrition and nutritional deficiencies in hospitalized patients. Research Ideas and Outcomes 7: e70642. https://doi.org/10.3897/rio.7.e70642
Figure 2 Results illustrating a select macronutrient profile which may be within or out of range for a sample patient with the following characteristics: 70 years old, male, height 5 foot 6 inches, weight 125 pounds, minimal physical activity, losing weight, following restrictive diet.
Data from: Human-relevant mechanisms and risk factors for TAK-875-induced liver injury identified via a gene pathway-based approach in collaborative cross mice
<p>Development of TAK-875 was discontinued when a small number of serious drug-induced liver injury (DILI) cases were observed in Phase 3 clinical trials. Subsequent studies have identified hepatocellular oxidative stress, mitochondrial dysfunction, altered bile acid homeostasis, and immune response as mechanisms of TAK-875 DILI and the contribution of genetic risk factors in oxidative response and mitochondrial pathways to the toxicity susceptibility observed in patients. We tested the hypothesis that a novel preclinical approach based on gene pathway analysis in the livers of Collaborative Cross mice could be used to identify human-relevant mechanisms of toxicity and genetic risk factors at the level of the hepatocyte as reported in a human genome-wide association study. Eight (8) male mice (4 matched pairs) from each of 45 Collaborative Cross lines were treated with a single oral (gavage) dose of either vehicle or 600 mg/kg TAK-875. As expected, liver injury was not detected histologically and few changes in plasma biomarkers of hepatotoxicity were observed. However, gene expression profiling in the liver identified hundreds of transcripts responsive to TAK-875 treatment across all strains reflecting alterations in immune response and bile acid homeostasis and the interaction of treatment and strain reflecting oxidative stress and mitochondrial dysfunction. Fold-change expression values were then used to develop pathway-based phenotypes for genetic mapping which identified candidate risk factor genes for TAK-875 toxicity susceptibility at the level of the hepatocyte. Taken together, these findings support our hypothesis that a gene pathway-based approach using Collaborative Cross mice could inform sensitive strains, human-relevant mechanisms of toxicity, and genetic risk factors for TAK-875 DILI. This novel preclinical approach may be helpful in understanding, predicting, and ultimately preventing clinical DILI for other drugs.</p>
Longitudinal Single Cell Atlas Identifies Type I Interferon Response as an Early Transient Prognostic Signature of COVID-19 Severity
<p>The clinical spectrum of COVID-19 ranges from asymptomatic or mildly symptomatic illness to pneumonia, critical illness and death. Molecular markers early in the disease course (Days 1-8) that identify patients at high risk for progression are scarce, due to the paucity of relevant longitudinal studies. We performed longitudinal single cell RNA-seq on 286 peripheral blood samples from 108 age- and gender-matched COVID-19 patients, 73 of which had at least one early sample. By examining discrete cell subtypes as well as continuous single cell states, we identified upregulation of genes related to type I interferon (IFN) signaling as the predominant cellular prognostic signature of future disease severity. Type I IFN signaling was dynamic and complex, spiking early in Progressors and then receding to the level of Non-Progressors at the very next sampling. Across the entire cohort, expression of type I IFN signaling genes dropped steadily, falling to asymptomatic levels by Day 14 regardless of severity. Moreover, in severe and critical cases, IFN signaling was deficient during Days 5-8, potentially due to upregulation of <em>SOCS3</em> and other negative regulators. In summary, we have identified an early expression signature that may predict COVID-19 severity, as well as potential mechanisms underlying the dysfunctional host immune response in severe disease.</p>
Targeted sequencing of the five major carbapenemases identified in clinical isolates
<p><span><span>This study aimed to evaluate the diagnostic performance of Carba 5 and its impact on the turn-around-time in a clinical microbiology laboratory. </span></span></p> <p>Carba 5 was retrospectively evaluated using 78 carbapenemase producers <span><span>and</span></span> 23 non-carbapenemase producers confirmed by PCR and sequencing. The performance and time required for carbapenemase identification were prospectively evaluated using 47 carbapenem resistant Enterobacteriaceae isolates, and the results were compared to those obtained using Xpert Carba-R (Cepheid, Sunnyvale, CA, USA).</p>
High resolution imaging as a tool for identifying quantitative trait loci that regulate photomorphogenesis in Arabidopsis thaliana
<p>A primary component of seedling establishment is the photomorphogenic response as seedlings emerge from the soil. This process is characterized by a reduced growth rate in the hypocotyl, increased root growth, opening of the apical hook, and expansion of the cotyledons as photosynthetic organs. While fundamental to plant success, the photomorphogenic response can be highly variable. Additionally, studies of <i>Arabidopsis thaliana</i> are made difficult by subtle differences in growth rate between individuals. High-resolution imaging and computational processing have emerged as useful tools for quantification of such phenotypes. This study sought to: 1) develop an imaging methodology which could capture changes in growth rate as seedlings transition from darkness to blue light in real time, and 2) apply this methodology to single-QTL analysis using the Cvi x L<i>er</i> RIL mapping population. Significant differences in the photomorphogenic response were observed between the parent lines and analysis of 158 RILs revealed a wide range of growth rate phenotypes. QTL analysis detected significant loci associated with dark growth rate on chromosome 5 and significant loci associated with light growth rate on chromosome 2. Candidate genes associated with these loci, such as the previously characterized <i>ER</i> locus, highlight the application of this approach for QTL analysis. Genetic analysis of Landsberg lines without the <i>erecta </i>mutation also supports a role for ER in modulating the photomorphogenic response, consistent with previous QTL analyses of this population. Strengths and limitations of this methodology are presented, as well as means of improvement.</p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Karel Kavina, <a href="http://www.wikidata.org/entity/Q3566168">http://www.wikidata.org/entity/Q3566168</a>. Claims or attributions were made on Bionomia, <a href="https://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Johannes Baptista von Albertini, <a href="http://www.wikidata.org/entity/Q62241">http://www.wikidata.org/entity/Q62241</a>. Claims or attributions were made on Bionomia, <a href="https://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Alfred Kolakovski, <a href="http://www.wikidata.org/entity/Q4227549">http://www.wikidata.org/entity/Q4227549</a>. Claims or attributions were made on Bionomia, <a href="https://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Olga Fedchenko, <a href="http://www.wikidata.org/entity/Q3350415">http://www.wikidata.org/entity/Q3350415</a>. Claims or attributions were made on Bionomia, <a href="https://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Julij Głowacki, <a href="http://www.wikidata.org/entity/Q12793064">http://www.wikidata.org/entity/Q12793064</a>. Claims or attributions were made on Bionomia, <a href="https://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Willard Webster Eggleston, <a href="http://www.wikidata.org/entity/Q4529754">http://www.wikidata.org/entity/Q4529754</a>. Claims or attributions were made on Bionomia, <a href="https://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Edgar Burton Harger, <a href="http://www.wikidata.org/entity/Q21515498">http://www.wikidata.org/entity/Q21515498</a>. Claims or attributions were made on Bionomia, <a href="https://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.