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231
datasets available to search
ShareScore release 0.9.0
Dataset results
231 results for “adaptive plasticity”
Adaptive plasticity of IL10+ and IL35+ regulatory T cells cooperatively promote intratumoral T cell exhaustion
GEO Series GSE126184. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Adaptation to industrial stressors through genomic and transcriptional plasticity in a bioethanol producing fission yeast isolate [RNA-seq]
GEO Series GSE141715. Schizosaccharomyces pombe. 16 samples. Type: Expression profiling by high throughput sequencing.
Glioma synapses recruit mechanisms of adaptive plasticity: Gene expression changes induced by BDNF treatment in SU-DIPGVI in vitro
GEO Series GSE222481. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Adaptive chromatin remodeling in glioblastoma stem cell plasticity and drug tolerance
GEO Series GSE74557. Homo sapiens. 44 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Serine-Driven Metabolic Plasticity Drives Adaptive Resilience in Pancreatic Cancer Cells [PANC-1]
GEO Series GSE292891. Homo sapiens. 15 samples. Type: Expression profiling by array.
Epigenetic regulation of Plasmodium falciparum adaptive plasticity in the mosquito
GEO Series GSE68667. Plasmodium falciparum. 21 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Data from: Adaptation and plasticity of animal communication in fluctuating environments
Adaptations that facilitate the reception of long-range signals under challenging conditions are expected to generate signal diversity when species communicate in different habitats. While we have a general understanding of how individual communicating animals cope with conditions influencing signal detection, the extent to which plasticity and evolutionary changes in signal characteristics contribute to interspecific differences in signaling behavior is unclear. We quantified the visual displays of free-living lizards and environmental variables known to influence display detection for multiple species from two separate island radiations. We found evidence of both adaptive evolution and adaptive plasticity in display characteristics as a function of environmental conditions, but plasticity accounted for most of the observed differences in display behavior across species. At the same time, prominent differences between the two island radiations existed in aspects of signaling behavior, unrelated to the environment. Past evolutionary events have therefore played an important role in shaping the way lizards adjust their signals to challenges in present-day environments. In addition to showing how plasticity contributes to interspecific differences in communication signals, our findings suggest the vagaries of evolution can in itself lead to signal variation between species.
Data from: Assessing adaptive phenotypic plasticity by means of conditional strategies from empirical data: the Latent Environmental Threshold Model
Conditional strategies are the most common form of discrete phenotypic plasticity. In a conditional strategy, the phenotype expressed by an organism is determined by the difference between an environmental cue and a threshold, both of which may vary among individuals. The Environmental Threshold model (ETM) has been proposed as a mean to understand the evolution of conditional strategies, but has been surprisingly seldom applied to empirical studies. A hindrance for the application of the ETM is that often, the proximate cue triggering the phenotypic expression and the individual threshold are not measurable, and can only be assessed using a related observable cue. We describe a new statistical model that can be applied in this common situation. The Latent Environmental Threshold Model (LETM) allows for a measurement error in the phenotypic expression of the individual environmental cue and a purely genetically determined threshold. We show that coupling our model with quantitative genetic methods allows an evolutionary approach including an estimation of the heritability of conditional strategies. We evaluate the performance of the LETM with a simulation study and illustrate its utility by applying it to empirical data on the size-dependent smolting process for stream-dwelling Atlantic salmon juveniles.
Plasticity-based Adaptive Cognitive Remediation for Alzheimer Disease
ClinicalTrials.gov study NCT02331784. IPD Sharing: Not stated. Countries: 1. Publications: 0.
AMPLIFI: Adaptive Modulation of Plasticity Through Lactate and Fitness Interventions
ClinicalTrials.gov study NCT06950060. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Adaptation and plasticity of animal communication in fluctuating environments
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Data from: A history of phenotypic plasticity accelerates adaptation to a new environment
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Data from: Genetic evolution, plasticity and bet-hedging as adaptive responses to temporally autocorrelated fluctuating selection: a quantitative genetic model
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Data from: Assessing adaptive phenotypic plasticity by means of conditional strategies from empirical data: the Latent Environmental Threshold Model
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Data from: Plasticity in growth of farmed and wild Atlantic salmon: is the increased growth rate of farmed salmon caused by evolutionary adaptations to the commercial diet?
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Microbiome mediated plasticity promotes thermal adaptation in Nematostella vectensis
GEO Series GSE168938. Nematostella vectensis. 15 samples. Type: Expression profiling by high throughput sequencing.
EMT-driven plasticity prospectively increases cell-cell variability to promote therapeutic adaptation in breast cancer
GEO Series GSE263731. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Histone H3.1 is a chromatin embedded redox sensor triggered by tumor cells developing adaptive phenotypic plasticity and multi-drug resistance
GEO Series GSE255616. Homo sapiens. 27 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Histone H3.1 is a chromatin embedded redox sensor triggered by tumor cells developing adaptive phenotypic plasticity and multi-drug resistance [RNA-Seq]
GEO Series GSE255598. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Coevolution of hormone metabolism and signaling networks expands plant adaptive plasticity
GEO Series GSE65739. Arabidopsis thaliana. 8 samples. Type: Expression profiling by high throughput sequencing.
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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.