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47 results for “STELLA”
Maternal obesity induced mouse embryonic defects derive from Stella insufficiency in oocytes
GEO Series GSE97109. Mus musculus. 4 samples. Type: Methylation profiling by high throughput sequencing.
Stella regulates the development of female germline stem cells by modulating chromatin structure and DNA methylation [ChIP-Seq]
GEO Series GSE188660. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Differential roles of Stella in the modulation of DNA methylation during oocyte and zygotic development
GEO Series GSE122829. Mus musculus. 12 samples. Type: Methylation profiling by high throughput sequencing.
FIGURE 1 in The tadpole of Boana stellae (Anura: Hylidae)
FIGURE 1. General aspect of the stream where tadpoles of Boana stellae were found (A) and exact pond in which the tadpoles were collected (B). General ventral and dorsal view of the preserved tadpole of B. stellae, MCP 13202 stage 30 (C, D), and detail of the oral disc of MCP 13201 stage 25 (E).
Vatutine stella
(Stebne) Source: Objaverse 1.0 / Sketchfab
Data set from the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.
<p>The data set refers on the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.</p> <p>This is the abstract:</p> <p><strong>Background and aims: </strong>Adults with congenital heart disease (ACHD) are at risk of overweight and obesity, two major health problems, though underweight can be a negative prognostic factor too. Awareness of the body mass index (BMI) in ACHD is very limited. The present study describes the use and prevalence of BMI in Italian symptomatic hospitalized ACHD patients in relation to complexity by Bethesda system classification, diagnosis, sex and age.</p> <p><strong>Methods and results: </strong>We classified 1388 ACHD patients, aged 18-69 years, on the basis of their BMI, and compared them to the Italian reference population. In our total ACHD population we found a significantly higher prevalence of underweight compared to the Italian reference population (6.34% vs 3.20%). ACHD women were more underweight than men. Underweight decreased with age. Overweight was significantly less frequent in the total ACHD population (26.73% compared to 31.70%) in the Italian reference population. Men were more likely to be overweight than women. In statistical terms obesity was similar in the Italian reference population (10.50%) and our ACHD population (9.58%). Both overweight and obesity increased with age. Results were comparable using a diagnostic anatomical-functional classification and the Bethesda system classification.</p> <p><strong>Conclusions: </strong>In our cohort of ACHD the prevalence of underweight was double that of the Italian reference population. The prevalence of overweight was lower, while obesity was similar. Since BMI does not account for differences in body fat distribution, a future aim will be to quantify the visceral component of the adipose tissue in ACHD patients and examine their body composition in order to reflect their risk of acquired cardiovascular disease better, and either to maintain or achieve an adequate visceral component.</p>
Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212.
<p>Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212.</p> <p> </p> <p>Astract</p> <p> </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.