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212
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Dataset results
212 results for “Landscape change”
Lamin B1 depletion in senescent cells triggers large-Scale changes in gene expression and in the chromatin landscape[ChIP-seq]
GEO Series GSE36616. Homo sapiens. 17 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Abstinence from Escalation of Cocaine Intake Changes the microRNA Landscape in the Cortico-Accumbal Pathway
GEO Series GSE212651. Rattus norvegicus. 36 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Dynamic chromatin accessibility landscape changes following interleukin-1 stimulation
GEO Series GSE144489. Homo sapiens. 6 samples. Type: Expression profiling by array.
Landscape of transcriptional and translational changes over 22 years of bacterial adaptation
GEO Series GSE164308. Escherichia coli. 8 samples. Type: Expression profiling by high throughput sequencing; Other.
Kidney cell type specific changes in the chromatin and transcriptome landscapes following epithelial Hdac1 and Hdac2 knockdown
GEO Series GSE181557. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Global Analysis of the RNA-Protein Interaction and RNA Secondary Structure Landscapes Identifies Dynamic Changes During Mammalian Erythropoiesis
GEO Series GSE142242. Mus musculus. 24 samples. Type: Other.
Short chain fatty acids regulate the chromatin landscape and distinct gene expression changes in human colorectal cancer cells
GEO Series GSE298547. Homo sapiens. 73 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Intracellular HIV-1 Tat regulator induces epigenetic changes in the DNA methylation landscape.[EPIC]
GEO Series GSE282526. Homo sapiens. 16 samples. Type: Methylation profiling by genome tiling array.
Chemotherapy-mediated changes in the immune cell landscape of murine triple negative breast cancer.
GEO Series GSE158888. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing; Other.
Changing the Waddington landscape to control mesendoderm competence -- ATAC-seq
GEO Series GSE149077. Homo sapiens. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Video archive for "Forest area change in the shifting landscape mosaic of the continental United States from 2001 to 2016"
<p>The videos animate landscape mosaic change at four scales for each of 14 geographic regions. Documentation is contained in the supplementary information for the open-access publication "Forest Area Change in the Shifting Landscape Mosaic of the Continental United States from 2001 to 2016" DOI: 10.3390/land9110417</p>
Data from: Reconstructing the evolutionary history of an endangered subspecies across the changing landscape of the Great Central Valley of California.
Identifying historic patterns of population genetic diversity and connectivity is a primary challenge in efforts to re-establish the processes that have generated and maintained genetic variation across natural landscapes. The challenge of reconstructing pattern and process is even greater in highly altered landscapes where population extinctions and dramatic demographic fluctuations in remnant populations may have substantially altered, if not eliminated, historic patterns. Here, we seek to reconstruct historic patterns of diversity and connectivity in an endangered subspecies of woodrat that now occupies only 1-2 remnant locations within the highly altered landscape of the Great Central Valley of California. We examine patterns of diversity and connectivity using 14 microsatellite loci and sequence data from a mitochondrial locus and a nuclear intron. We reconstruct temporal change in habitat availability to establish several historical scenarios that could have led to contemporary patterns of diversity, and use an approximate Bayesian computation approach to test which of these scenarios is most consistent with our observed data. We find that the Central Valley populations harbour unique genetic variation coupled with a history of admixture between two well-differentiated species of woodrats that are currently restricted to the woodlands flanking the Valley. Our simulations also show that certain commonly used analytical approaches may fail to recover a history of admixture when populations experience severe bottlenecks subsequent to hybridization. Overall our study shows the strength of combining empirical and simulation analyses to recover the history of populations occupying highly altered landscapes.
Data from: Proportional mixture of two rarefaction/extrapolation curves to forecast biodiversity changes under landscape transformation
Progressive habitat transformation causes global changes in landscape biodiversity patterns, but can be hard to quantify. Rarefaction/extrapolation approaches can quantify within‐habitat biodiversity, but may not be useful for cases in which one habitat type is progressively transformed into another habitat type. To quantify biodiversity patterns in such transformed landscapes, we use Hill numbers to analyse individual‐based species abundance data or replicated, sample‐based incidence data. Given biodiversity data from two distinct habitat types, when a specified proportion of original habitat is transformed, our approach utilises a proportional mixture of two within‐habitat rarefaction/extrapolation curves to analytically predict biodiversity changes, with bootstrap confidence intervals to assess sampling uncertainty. We also derive analytic formulas for assessing species composition (i.e. the numbers of shared and unique species) for any mixture of the two habitat types. Our analytical and numerical analyses revealed that species unique to each habitat type are the most important determinants of landscape biodiversity patterns.
Change of Treatment Landscape and Survival in Metastatic Pancreatic Cancer After Nal-IRI in Republic of Korea
ClinicalTrials.gov study NCT05587387. IPD Sharing: NO. Countries: 1. Publications: 0.
Chromatin landscape changes of regenerating wing imaginal discs
GEO Series GSE140755. Drosophila melanogaster. 13 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Carboplatin resistance-associated changes in the 3D chromatin landscape of a triple-negative breast cancer Patient-Derived Xenograft [RNA-Seq]
GEO Series GSE201434. Homo sapiens; Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Data from: Reconstructing the evolutionary history of an endangered subspecies across the changing landscape of the Great Central Valley of California.
Open the record for dataset details and reuse information.
Data from: Proportional mixture of two rarefaction/extrapolation curves to forecast biodiversity changes under landscape transformation
Open the record for dataset details and reuse information.
SFKs overexpression suffices to change the gene expression landscape in unstimulated BJAB cells
GEO Series GSE212759. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Local compartment changes and regulatory landscape alterations in histone H1-depleted cells
GEO Series GSE75426. Mus musculus. 41 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Methylation 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.