OdLycHypo2
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB72864 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Lycopodina hypogea (LMA microbiome) genome assembly, odLycHypo2, alternate haplotype
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Project description:Lycopodina hypogea (LMA microbiome), genomic and transcriptomic data
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Project description:Cliona varians (LMA microbiome) sponge metagenome assembly, odCliVari1.metagenome
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Project description:The hypothalamic suprachiasmatic (SCN) clock contains several neurochemically defined cell groups that contribute to the genesis of circadian rhythms. Using cell specific and genetically-targeted approaches we have confirmed an indispensable role for vasoactive intestinal polypeptide expressing SCN (SCNVIP) neurons in generating the mammalian locomotor activity (LMA) circadian rhythm. Optogenetic-assisted circuit mapping revealed functional, di-synaptic connectivity between SCNVIP neurons and dorsomedial hypothalamic neurons, providing a circuit substrate by which SCNVIP neurons may regulate LMA rhythms. In vivo photometry revealed that while SCNVIP neurons are acutely responsive to light, their activity is otherwise behavioral state invariant. Single-nuclei RNA-sequencing revealed SCNVIP neurons comprise two transcriptionally distinct subtypes, including putative pacemaker and non-pacemaker populations. Given that SCNVIP neurons constitute ~10% of the total SCN population, and that other cell groups were unable to sustain coherent circadian LMA rhythms following SCNVIP disruption, our findings demonstrate a disproportionately large influence of the SCNVIP cell population on pacemaker function.
2020-05-19 | GSE150770 | GEO
Project description:Late maturity alpha amylase is a wheat genetic defect causing the synthesis of high isoelectric point alpha amylase in the aleurone as a result of a temperature shock during mid grain development or prolonged cold throughout grain development leading to an unacceptable low falling numbers at harvest or during storage. High pI alpha amylase is normally not synthesized until after maturity in seeds when they may sprout in response to rain or germinate following sowing the next season crop. Whilst the physiology is well understood, the biochemical mechanisms involved in grain LMA response remain unclear. We have employed high throughput proteomics to analyse thousands of wheat flours displaying a range of LMA values. We have applied an array of statistical analyses to select LMA responsive biomarkers and we have mined them using a suite of tools applicable to wheat proteins. To our knowledge, this is not only the first proteomics study tackling the wheat LMA issue but also the largest plant based proteomics study published to date. Logistics, technicalities, requirements, and bottlenecks of such an ambitious experiment are discussed. We observed that stored LMA affected grains activated their primary metabolisms such as glycolysis and gluconeogenesis, TCA cycle, along with DNA and RNA binding mechanisms, as well as protein translation. This logically transitioned to protein folding activities driven by chaperones and protein disulfide isomerase, as well as protein assembly via dimerisation and complexing. The secondary metabolism was also mobilised with the up regulation of phytohormones, chemical and defense responses. LMA further invoked cellular structures among which ribosomes, microtubules, and chromatin. Finally, and unsurprisingly, LMA expression greatly impacted grain starch and other carbohydrates with the up regulation of alpha gliadins and starch metabolism, while LMW glutenin, stachyose, sucrose, UDP galactose and UDP glucose were down regulated. This work demonstrates that proteomics deserves to be part of the wheat LMA molecular toolkit and should be adopted by LMA scientists and breeders in the future.
DOI: 10.1093/gigascience/giad084
2022-10-23 | MSV000090572 | MassIVE