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4,004 results for “In vivo”

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geo24/100

In vivo HSC gene therapy enables sustained eCD4-Ig expression predominantly by B-cells for SIV prevention

GEO Series GSE305698. Macaca mulatta. 6 samples. Type: Other.

openGEO-OpenAug 2025View details →
geo24/100

Transcriptional response induced by enteropathogenic Escherichia coli (EPEC) in mouse intestinal epithelial cells in vivo

GEO Series GSE71685. Mus musculus. 14 samples. Type: Expression profiling by array.

openGEO-OpenApr 2016View details →
geo24/100

RNA-seq based in vivo transcriptomes of pine trees inoculated with pinewood nematode under the enhanced resistance state

GEO Series GSE154134. Pinus densiflora. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2020View details →
geo24/100

scnasRNA-seq resolves in vivo single-cell RNA dynamics of immune cells during Salmonella infection

GEO Series GSE279651. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2024View details →
geo24/100

Gene expression profile at single cell level of in utero and ex vivo peri-implantation mouse embryos

GEO Series GSE228264. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2023View details →
zenodo24/100

Figure 8 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 8 In vitro dissolution profiles of amlodipine at pH 6.8 mean ± SD, n = 3.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 4 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 4 Linearity on profiles of dissolution test at pH 4.5.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 7 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 7 In vitro dissolution profiles of amlodipine at pH 4.5 mean ± SD, n = 3.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 5 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 5 Linearity on profiles of dissolution test at pH 6.8.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 3 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 3 Linearity on profiles of dissolution test at pH 1.2.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 1 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 1 The chemical structure of amlodipine.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 6 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 6 In vitro dissolution profiles of amlodipine at pH 1.2 mean ± SD, n = 3.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Figure 9 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220

Figure 9 In vitro dissolution profiles of amlodipine at pH 6.8 mean ± SD, n = 3.

opencc-by-4.0Aug 2020View details →
zenodo24/100

Period wavelet movies of spreadouts, ex vivo models of somitogenesis, subjected to 170-min periodic pulses of 2 uM DAPT

<p>Here are period wavelet movies (as .tif), generated using a wavelet analysis workflow developed by Gregor M&ouml;nke, of timelapse imaging of a dynamic Notch signaling reporter (i.e. LuVeLu) in spreadouts, ex vivo models of somitogenesis. Spreadouts were&nbsp;subjected to 170-min periodic pulses of 2 uM DAPT.&nbsp;Also here are binary masks generated in Fiji based on threshold of LuVeLu intensity.&nbsp;These files&nbsp;are&nbsp;used to run an accompanying Python script, available at:&nbsp;<a href="https://github.com/PGLSanchez/EMBL_OscillationsAnalysis/tree/master/PeriodGradientAnalysis">https://github.com/PGLSanchez/EMBL_OscillationsAnalysis/tree/master/PeriodGradientAnalysis</a></p>

opencc-by-4.0Sep 2020View details →
zenodo24/100

Visible and NIR Upconverting Er3+–Yb3+ Luminescent Nanorattles and Other Hybrid PMO‐Inorganic Structures for In Vivo Nanothermometry

<p>Dataset accompanying figures published in the publication DOI: 10.5281/zenodo.4001573</p>

opencc-by-4.0Sep 2020View details →
zenodo24/100

Research data supporting "In Vivo Biomolecular Imaging of Zebrafish Embryos using Confocal Raman Spectroscopy"

<p>Research raw data supporting Hogset et al., &quot;In vivo biomolecular imaging of zebrafish embryos using confocal Raman spectroscopy&quot;, 2020, Nature Communications.</p>

opencc-by-4.0Oct 2020View details →
dryad24/100

Data from: Prophylactic digoxin treatment reduces IL-17 production in vivo in the neonatal calf and moderates RSV-associated disease

Respiratory syncytial virus (RSV) is a leading cause of morbidity and mortality in human infants. Bovine RSV infection of neonatal calves is pathologically and immunologically similar to RSV infection in infants, and is therefore a useful preclinical model for testing novel therapeutics. Treatment of severe RSV bronchiolitis relies on supportive care and may include use of bronchodilators and inhaled or systemic corticosteroids. Interleukin-17A (IL-17) is an inflammatory cytokine that plays an important role in neutrophil recruitment and activation. IL-17 is increased in children and rodents with severe RSV infection; and in calves with severe BRSV infection. It is currently unclear if IL-17 and Th17 immunity is beneficial or detrimental to the host during RSV infection. Digoxin was recently identified to selectively inhibit IL-17 production by antagonizing its transcription factor, retinoid-related orphan receptor γ t (RORγt). Digoxin inhibits RORγt binding to IL-17 and Th17 associated genes, and suppresses IL-17 production in vitro in human and murine leukocytes and in vivo in rodent models of autoimmune disease. We demonstrate here that in vitro and in vivo digoxin treatment also inhibits IL-17 production by bovine leukocytes. To determine the role of IL-17 in primary RSV infection, calves were treated prophylactically with digoxin and infected with BRSV. Digoxin treated calves demonstrated reduced signs of clinical illness after BRSV infection, and reduced lung pathology compared to untreated control calves. Digoxin treatment did not adversely affect virus shedding or lung viral burden, but had a significant impact on pulmonary inflammatory cytokine expression on day 10 post infection. Together, our results suggest that exacerbated expression of IL-17 has a negative impact on RSV disease, and that development of specific therapies targeting Th17 immunity may be a promising strategy to improve disease outcome during severe RSV infection.

opencc-zeroDec 2018View details →
dryad24/100

Data from: In-vivo imaging of cell migration using contrast enhanced MRI and SVM based post-processing

The migration of cells within a living organism can be observed with magnetic resonance imaging (MRI) in combination with iron oxide nanoparticles as an intracellular contrast agent. This method, however, suffers from low sensitivity and specificty. Here, we developed a quantitative non-invasive in-vivo cell localization method using contrast enhanced multiparametric MRI and support vector machines (SVM) based post-processing. Imaging phantoms consisting of agarose with compartments containing different concentrations of cancer cells labeled with iron oxide nanoparticles were used to train and evaluate the SVM for cell localization. From the magnitude and phase data acquired with a series of -weighted gradient-echo scans at different echo-times, we extracted features that are characteristic for the presence of superparamagnetic nanoparticles, in particular hyper- and hypointensities, relaxation rates, short-range phase perturbations, and perturbation dynamics. High detection quality was achieved by SVM analysis of the multiparametric feature-space. The in-vivo applicability was validated in animal studies. The SVM detected the presence of iron oxide nanoparticles in the imaging phantoms with high specificity and sensitivity with a detection limit of 30 labeled cells per mm3, corresponding to 19 μM of iron oxide. As proof-of-concept, we applied the method to follow the migration of labeled cancer cells injected in rats. The combination of iron oxide labeled cells, multiparametric MRI and a SVM based post processing provides high spatial resolution, specificity, and sensitivity, and is therefore suitable for non-invasive in-vivo cell detection and cell migration studies over prolonged time periods.

opencc-zeroDec 2014View details →
dryad24/100

Data from: High-throughput synapse-resolving two-photon fluorescence microendoscopy for deep-brain volumetric imaging in vivo

Optical imaging has become a powerful tool for studying brains in vivo. The opacity of adult brains makes microendoscopy, with an optical probe such as a gradient index (GRIN) lens embedded into brain tissue to provide optical relay, the method of choice for imaging neurons and neural activity in deeply buried brain structures. Incorporating a Bessel focus scanning module into two-photon fluorescence microendoscopy, we extended the excitation focus axially and improved its lateral resolution. Scanning the Bessel focus in 2D, we imaged volumes of neurons at high-throughput while resolving fine structures such as synaptic terminals. We applied this approach to the volumetric anatomical imaging of dendritic spines and axonal boutons in the mouse hippocampus, and functional imaging of GABAergic neurons in the mouse lateral hypothalamus in vivo.

opencc-zeroDec 2018View details →
zenodo24/100

Data associated with Cell Reports publication: Dura-Bernal, Griffith, et al. 2023, "Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics" (4/4)

<p>This dataset includes experimental data used to constrain and validate the model, and model simulation output data for the following Cell Reports publication: <a href="https://www.cell.com/cell-reports/fulltext/S2211-1247(23)01390-6">https://www.cell.com/cell-reports/fulltext/S2211-1247(23)01390-6</a></p><p>The source code for the associated A1 model and data analysis can be found here:&nbsp;<a href="https://github.com/NathanKlineInstitute/Macaque_auditory_thalamocortical_model_data">https://github.com/NathanKlineInstitute/Macaque_auditory_thalamocortical_model_data</a>.</p><p>All zip files should unzipped into a parent folder called /data inside the Github repository above.</p><p><strong>Important:</strong> Due to the Zenodo size limit, this dataset is split among 4 Zenodo uploads. This is upload <strong>4 out of 4</strong>. The other 3 uploads can be found at: &nbsp;</p><p>Upload 1/4: <a href="http://doi.org/10.5281/zenodo.10066993">http://doi.org/10.5281/zenodo.10066993</a> (https://zenodo.org/uploads/10066993)</p><p>Upload 2/4: <a href="http://doi.org/10.5281/zenodo.10069553">http://doi.org/10.5281/zenodo.10069553</a> (https://zenodo.org/uploads/10069553)</p><p>Upload 3/4: <a href="http://doi.org/10.5281/zenodo.10071726">http://doi.org/10.5281/zenodo.10071726</a> (https://zenodo.org/uploads/10071726)</p><p>For more information please contact: salvador.dura-bernal@downstate.edu&nbsp;&nbsp;</p>

opencc-by-4.0Nov 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record