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6,234 results for “phenotypes”
Single -Cell RNA Sequencing of the Normal Human Ascending Aortic Tissues from Donors of Different Ages Reveals Significant Age-dependent Changes in the Cellular Composition, Cellular Phenotypes, and C
GEO Series GSE216860. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Phenotypic screen in vivo identifies sclerostin as a regulator for the development of nonalcoholic steatohepatitis in mice
GEO Series GSE279286. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Mitochondrial signatures shape phenotype switching and apoptosis in response to PLK1 and RSK inhibitiors in melanoma
GEO Series GSE264686. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
PLK inhibitors identified by high content phenotypic screening promote maturation of human iPSC-derived cardiomyocytes
GEO Series GSE197835. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Phenotypic and transcriptional profiling in Entamoeba histolytica reveal costs to fitness and adaptive responses associated with metronidazole resistance
GEO Series GSE35990. Entamoeba histolytica. 8 samples. Type: Expression profiling by array.
MALAT1 is required for phenotypic consequences of TET2 mutations in myeloid neoplasms.
GEO Series GSE243492. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Summary statistics for "Alternate approach to stroke phenotyping identifies a genetic risk locus for small vessel stroke"
<p>Summary statistics of the GWA studies presented in <a href="https://doi.org/10.1101/718221">https://doi.org/10.1101/718221</a></p> <p>These are the summary statistics of all imputed SNPs, minus those that showed big differences in allele frequency between different populations (see manuscript for details).</p> <p>Header description:</p> <p>"rs_id" = the rs-id for the variant</p> <p>"chromosome" = the chromosome of the variant</p> <p>"base_pair_location" = the location in bases, according to human reference genome hg19</p> <p>"effect_allele" = the allele that is tested for association with the phenotype</p> <p>"other_allele" = the other allele</p> <p>"effect_allele_frequency" = the allele frequency of the effect allele (not necessarily the minor allele frequency)</p> <p>"IMPUTE2_info" = the imputation quality score as computed by IMPUTE2</p> <p>"beta" = the beta-coefficient from BOLT-LMM</p> <p>"standard_error" = the standard error of beta</p> <p>"p-value" = the p-value for association from BOLT-LMM</p> <p>To convert beta and standard error to odds ratios, you need to know the fraction of cases of the respective GWAS. These can be found in the supplementary material of the manuscript. Use the following formula with the case fraction μ: log OR = β / (μ * (1 - μ)). See the manuscript for more explanation.</p>
FIGURE 5 in Phenotypic variation of Leptodactylus cupreus Caramaschi, São-Pedro and Feio, 2008 (Anura, Leptodactylidae)
FIGURE 5. Spines on inner surface of finger III and IV of Leptodactylus cupreus (CFBH 26359).
raw data from MS : Redefining the winter phenotype in Drosophila suzukii
<p>raw data from MS "Redefining the winter phenotype in Drosophila suzukii"</p>
Expression of miR-155 in migraine: association with migraine phenotypes and disease severity
<p>This is a cross-sectional and controlled study.</p> <p>We have considered three study groups: healthy controls (HCs), episodic migraine (EM) and chronic migraine with medication overuse headache (CM-MOH). Demographic features were comparable among the three study groups.</p> <p>We assessed the expression of miR-155 (Relative Quantification - RQ) in peripheral blood monocytes.</p> <p>All determinations were performed in the inter-ictal migraine phase.</p> <p>We analysed miR-155 expression in 30 HCs (0.44 ± 0.18 RQ), 52 EM (1.46 ± 0.85 RQ), and 44 CM-MOH (2.68 ± 2.47 RQ) subjects.</p> <p>Migraine patients showed higher miR-155 expression when compared to HCs (p=0.001). In addition, miR-155 expression was higher in CM-MOH patients when compared to EM group (p=0.006). This finding was confirmed in a logistic regression model (EM vs CM-MOH; p = 0.022), after controlling for age, sex, ongoing preventive treatment, smoking and comorbidities.</p>
Dataset related to article "Multifaceted and age-dependent phenotypes associated with biallelic PNPLA6 gene variants: eight novel cases and review of the literature."
<p>Genetic data in VCF format and Sanger electropherograms of an Italian patient with spastic ataxia phenotype</p>
Dataset 1. Metabolic and phenotypical variables of Holstein cows
<p>The dataset comprises the plasma concentration of metabolic variables, milk yield and milk composition, live weight, and body condition score of North American (NAH) and New Zealand Holstein (NZH) cows managed under two contrasting feeding strategies (restricted, P30, vs. maximized grazing activity, PMAX) across days in milk (DIM). NAH and NZH are coded as 1 and 2, respectively, while P30 and PMAX are coded as 1 and 2, respectively. The body condition score (BCS) is expressed in Edmonson's scale (Edmonson et al., 1989). </p>
Dataset 2. Metabolic and phenotypical variables of Holstein and Normande cows
<p>The dataset comprises the plasma concentration of metabolic and energy balance variables of Holstein (HF) and Normande (NR) cows managed in a low input grazing system across days in milk (DIM). The energy balance variables include net energy exported in milk (NE<sub>lact</sub>), net energy for gestation (NE<sub>gest</sub>), daily change in energy retained in peripheral tissue (ΔRE), and net energy intake (NEI). </p> <p> </p>
Clinical isolation of Saccharomyces cerevisiae antibiotics-sensitive phenotypes dataset in a women's and children's hospital
<p>Clinical isolation of Saccharomyces cerevisiae antibiotics-sensitive phenotypes dataset in a women's and children's hospital (Candida albicans served as the control group).</p>
Dataset related to article "Phenotypic and molecular changes in nodule-in-nodule hepatocellular carcinoma with pathogenetic implications"
<p>This record contains raw data related to article "Phenotypic and molecular changes in nodule-in-nodule hepatocellular carcinoma with pathogenetic implications"</p> <p>AIMS:</p> <p>Nodule-in-nodule (N/N) hepatocellular carcinoma (HCC) is a convincing proof of multistep hepatocarcinogenesis. In this lesion, an inner HCC develops within an outer, more differentiated, tumour, which can be rapidly taken over by the former so that N/N HCC is rarely detected.</p> <p>METHODS AND RESULTS:</p> <p>Ten resected N/N HCCs arising in cirrhotic background and characterized: (i) as outer lesions by early (n = 3) and G1 (n = 7) HCC; (ii) as inner lesions by G1 (n = 3) and G2 (n = 7) HCC. The largest/smallest diameters of outer and inner nodules were, respectively, 20/6 mm and 16/4 mm. We investigated vascular (CD34 and endocan), hepatocellular VEGF, GS, GPC3, HSP70 and CHC) and molecular (TERT promoter and β-catenin) changes taking place from the outer neoplastic compartment to the inner neoplastic compartment (INC). A diffuse pattern of CD34+ capillarized vessels and focal endocan immunoreactivity were major distinctive features acquired in the INC; VEGF immunoreactivity was inversely related to CD34 staining. A gain in the number of cells immunoreactive for GPC3, HSP70, and CHC, but not of GS-immunoreactive cells, also occurred in the INC. TERT promoter mutations were seen in half of the cases in both compartments, whereas β-catenin mutations were more rarely detectable.</p> <p>CONCLUSIONS:</p> <p>Major phenotypic changes take place in the INC of N/N HCC. TERT promoter mutations take place frequently and very early, and, in contrast to β-catenin mutations, do not appear to be acquired during N/N growth. These findings suggest that inner nodules represent a step further along the pathway of tumour progression, in contrast to earlier, simply initiated, lesions, and that complete neovascularisation predicts a change in HCC biology.</p>
Fig. 13 in Tracking the variability of phenotypic traits on a molecular phylogeny: an example from scolopendrid centipedes in peninsular India
Fig. 13 Presence of a tarsal spur on leg 20 mapped onto phylogeny of Indian Digitipes
Fig. 9 in Tracking the variability of phenotypic traits on a molecular phylogeny: an example from scolopendrid centipedes in peninsular India
Fig. 9 Number of DM spines on the ultimate leg prefemur mapped onto phylogeny of Indian Digitipes
Fig. 5 in Tracking the variability of phenotypic traits on a molecular phylogeny: an example from scolopendrid centipedes in peninsular India
Fig. 5 First tergite with complete margination mapped onto phylogeny of Indian Digitipes
Fig. 1 in Phenotypic influences on the reproductive strategy of the facultative sexual rotifer Brachionus rubens (Monogononta)
Fig. 1 Illustration of the experimental setup
dataset related to article: "Spastic paraplegia type 46: novel and recurrent GBA2 gene variants in a compound heterozygous Italian patient with spastic ataxia phenotype"
<p>Dataset contains Genetic data in VCF format of an Italian patient with spastic ataxia phenotype</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.