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ShareScore release 0.9.0
Dataset results
8 results for “pH sensing”
Comparative analysis of RNN versus IIR digital filtering to optimize resilience to dynamic perturbations in pH sensing for vertical farming
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The molecular basis of pH sensing by the human fungal pathogen Candida albicans TOK potassium channel
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MRI-based sensing of pH-responsive content release from mesoporous silica nanoparticles
<p>A proof of principle study toward developing a novel methodology which could be applicable for a non-invasive monitoring of the release of cargo molecules from therapeutic and diagnostic nanoparticles, as well as for possible monitoring of tissue pH variations. This was achieved by quantifying changes in longitudinal relaxation time (T<sub>1</sub>) before and after the pH-responsive release of contrast agents, for magnetic resonance imaging (MRI), from the pores of mesoporous silica nanoparticles (MSNs). The pores were filled with the FDA-approved contrast agent Gadobutrol (GdB), and its retention inside the pores ensured by covalent attachment of β-cyclodextrin monoaldehyde to hydrazine-functionalized MSN, through acidification-cleavable hydrazone linkage. The release kinetics of GdB was measured by fluorescence spectroscopy which revealed that the release of the contrast agent was enhanced at pH 5.0 in comparison to the release at pH 6.0 and 7.4. Furthermore, the changes in T<sub>1</sub>, occurring in response to the enhanced release of GdB from the pores of MSN at weakly acidic conditions, were successfully demonstrated by MRI measurements. It is envisioned that this approach using contrast agent-loaded nanoparticles before the treatment with the drug-filled analogs, could be applied in the future for tracking the locations and efficacies of nanomedicines for therapeutic cargo delivery.</p>
Soil pH:Dimensions of Biodiversity - Genetic, Phylogenetic, Functional, and Remotely Sensed Diversity
Novel remote sensing methods for monitoring the Earth's biodiversity will be applied to experimental manipulations of plant diversity - allowing scientists to examine the linkages between plant biodiversity, soil microbe diversity and ecosystem function at multiple scales of spatial resolution. Specifically, we propose to link remotely sensed optical diversity to plant functional, phylogenetic and genotypic diversity aboveground and to net primary production (NPP), and soil properties and microbial processes belowground, as a basis for predicting ecosystem processes with remote sensing. Our central hypothesis is that i) biodiversity (genotypic, functional and phylogenetic diversity) at one trophic level (plants) drives genetic and functional diversity in other trophic levels (soil microbes) with consequences for ecosystem function and ii) that such diversity can be detected remotely at multiple scales of spatial resolution. We propose to test this hypotheses within the long-term prairie biodiversity experiment (e120 Big Bio), the newly established Forest and Biodiversity (e271 FAB 1) experiment, and the Biodiversity of Willows and Poplars (e277 BiWaP) experiment. We will measure optical properties of these plots at the leaf level, 1 m above the plant canopy and from aircraft. Leaf level sampling and percent cover estimates will be non-destructive. Biomass sampling in Big Bio will follow standard protocol for the long-term experiment. Biomass estimates in FAB and BiWaP will use non-destructive methods. Below ground sampling in BigBio will be taken within the clip strip for biomass harvest. The proposed research involves researchers at the University of Minnesota, the University of Alberta, the University of Nebraska Lincoln, the University of Wisconsin, and Appalachian State University.
Identifying a Novel Connection Between the Fungal Plasma Membrane and pH Sensing
GEO Series GSE110723. Cryptococcus neoformans H99. 9 samples. Type: Expression profiling by high throughput sequencing.
SWI/SNF senses carbon starvation with a pH-sensitive low complexity sequence
GEO Series GSE174687. Saccharomyces cerevisiae. 21 samples. Type: Expression profiling by high throughput sequencing.
The pH-sensing receptor OGR1 improves barrier function of CaCo-2 cells and inhibits migration in an acidic environment
GEO Series GSE60294. Homo sapiens. 12 samples. Type: Expression profiling by array.
The G protein-coupled pH-sensing receptor OGR1 is a regulator of intestinal inflammation
GEO Series GSE60295. Mus musculus. 16 samples. Type: Expression profiling by array.
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Allen Brain Atlas
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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.