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374 results for “Selection: natural”
Positive natural selection of N6-methyladenosine on the RNAs of processed pseudogenes
GEO Series GSE172219. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Characterization of novel natural compound derivatives with cancer-selective cytotoxicity
GEO Series GSE154755. Homo sapiens. 28 samples. Type: Expression profiling by high throughput sequencing.
Genetic ancestry and natural selection drive population differences in immune responses to pathogens in humans
GEO Series GSE81046. Homo sapiens. 503 samples. Type: Expression profiling by high throughput sequencing.
Fc receptor-like 6 (FCRL6) defines pre-BCR dependent and independent pathways of natural antibody selection
GEO Series GSE132438. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Natural genetic variation perturbs collaborative transcription factor binding required for enhancer selection and function
GEO Series GSE46494. Mus musculus. 40 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Natural selection has contributed to functional immune response differences between human hunter-gatherers and agriculturalists
GEO Series GSE120502. Homo sapiens. 250 samples. Type: Expression profiling by high throughput sequencing.
Selective CDK9 inhibition by natural compound toyocamycin in cancer cell
GEO Series GSE202744. Homo sapiens. 17 samples. Type: Expression profiling by high throughput sequencing.
Avidity Selection of Natural Killer Response to MCMV
GEO Series GSE129490. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 1)
GEO Series GSE154752. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Data from: A framework for detecting natural selection on traits above the species level
To what extent can natural selection act on groupings above the species level? Despite extensive theoretical discussion and growing practical concerns over increased rates of global ecological turnover, the question has largely evaded empirical resolution. A flexible and robust hypothesis-testing framework for detecting the phenomenon could facilitate significant progress in resolving this issue. We introduce a permutation-based approach, implemented in the R package perspectev, which provides an explicit test of whether empirical patterns of correlation between upper level trait values and survivorship are reducible to correlations manifested at lower levels. The package is applicable to virtually any nested set of upper- and lower level groupings, a wide variety of upper level traits, and both historical and contemporary occurrence data. We apply this approach to five paleontological data sets that represent different magnitudes of extinction and differ in taxonomic breadth, geological timing and geographic extent. Using simulations, we demonstrate that this method is a robust means of detecting irreducibility in the relationship between upper level traits and survivorship, and outline circumstances in which the method is less effective. We also find evidence consistent with previous findings of selection above the species level for geographic range size in North American K-Pg molluscs and show that this phenomenon was evident for the same molluscan genera globally. Ultimately, we conclude that at certain points in history, some higher level taxonomic groups have survived differentially with respect to geographic range size in a manner that is not explained by the same trait at the species level, and we show that evidence for this phenomenon varies across taxa and extinction events. We release our method as a flexible and easy-to-use R package that will allow others to help determine the relative frequency of this macroevolutionary phenomenon, both in the fossil record and in estimates of contemporary extinction risk.
Data from: Antagonistic responses to natural and sexual selection and the sex-specific evolution of cuticular hydrocarbons in Drosophila simulans
Natural and sexual selection are classically thought to oppose one another, and while there is evidence for this, direct experimental demonstrations of this antagonism are largely lacking. Here we assessed the effects of sexual and natural selection on the evolution of cuticular hydrocarbons (CHCs), a character subject to both modes of selection, in Drosophila simulans. Natural selection and sexual selection were manipulated in a fully factorial design, and after 27 generations of experimental evolution the responses of male and female CHCs were assessed. The effects of natural and sexual selection differed greatly across the sexes. The responses of female CHCs were generally small, but CHCs evolved predominantly in the direction of natural selection. For males, profiles evolved via sexual and natural selection, as well as through the interaction between the two, with some male CHC components only evolving in the direction of natural selection when sexual selection was relaxed. These results indicate sex-specific responses to selection, and that sexual and natural selection act antagonistically for at least some combinations of CHCs.
CD3/CD19 Depleted or CD3 Depleted/CD56 Selected Haploid Donor Natural Killer Cell Treatment in Older AML in First Complete Remission
ClinicalTrials.gov study NCT01639456. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Mild HIV-specific selective forces overlaying natural CD4+ T cell dynamics explain the clonality and decay dynamics of HIV reservoir cells.
GEO Series GSE266695. Homo sapiens. 65 samples. Type: Other.
Natural selection on cis and trans regulation in yeasts
GEO Series GSE20749. Saccharomyces cerevisiae. 24 samples. Type: Expression profiling by high throughput sequencing.
Data from: Antagonistic responses to natural and sexual selection and the sex-specific evolution of cuticular hydrocarbons in Drosophila simulans
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Data from: A framework for detecting natural selection on traits above the species level
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Data from: Footprints of divergent selection in natural populations of Castanopsis fargesii (Fagaceae)
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Data from: Signatures of natural selection among lineages and habitats in Oncorhynchus mykiss
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Characterization of novel natural compound derivatives with cancer-selective cytotoxicity (RNA-seq dataset 3)
GEO Series GSE154754. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Translation and Natural Selection of long non-canonical RNA micropeptides
GEO Series GSE204739. Drosophila melanogaster. 9 samples. Type: Non-coding RNA 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.