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85 results for “Puma”
Habitat diversity influences puma (Puma concolor) diet in the Chihuahuan Desert
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Combined absence of Trp53 target genes Zmat3, Puma and p21 cause a high incidence of cancer in mice
GEO Series GSE248747. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
Targeting CHD1L Suppresses Prostate Cancer Progression via the FOXO3-PUMA Axis
GEO Series GSE305661. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Myeloid progenitor cells lacking p53 exhibit delayed upregulation of Puma, prolonged survival after cytokine deprivation
GEO Series GSE18770. Mus musculus. 18 samples. Type: Expression profiling by array.
Epistatic mutations in PUMA BH3 drive an alternate binding mode to potently and selectively inhibit anti-apoptotic Bfl-1
GEO Series GSE94864. Saccharomyces cerevisiae. 7 samples. Type: Other.
Data from: Puma energetics: laboratory oxygen consumption and GPS information from free-ranging individuals
<span><b><u>Abstract</u></b></span> <p class="Default"><b>Background</b></p> <p class="Default">Under current scenarios of climate change and habitat loss, many wild animals, especially large predators, are moving into novel energetically challenging environments. Consequently, changes in terrain associated with such moves may heighten energetic costs and effect the decline of populations in new localities.</p> <p class="Default"><b>Methods</b></p> <p class="Default">To examine locomotor costs of a carnivorous mammal moving in mountainous habitats, the oxygen consumption of captive pumas (<i>Puma concolor</i>) was measured during treadmill locomotion on level and incline (6.8ᵒ) surfaces. These data were used to predict energetic costs of locomotor behaviours of free-ranging pumas equipped with GPS/accelerometer collars in California's Santa Cruz Mountains.</p> <p class="Default"><b>Results</b></p> <p class="Default">Incline walking resulted in a 42.0%±7.2 SEM increase in transport costs compared to level performance. Wild pumas modified their locomotor behaviour in response to terrain steepness by traversing the mean hillside incline of 17.2ᵒ±0.3 SEM and choosing shallower paths of 7.3ᵒ±0.1 SEM. Pumas also walked more slowly up steeper paths, thereby minimizing the energetic impact of vertical terrains. Estimated daily energy expenditure of (DEE) based on GPS-derived speeds of free-ranging pumas was 18.3 MJ day<sup>-1</sup> ±0.2 SEM. Calculations show that a 20ᵒ increase in mean terrain steepness would increase DEE by <1% as pumas spent a small (10%) proportion of their day travelling and avoided elevated costs by utilizing slower speeds and shallower paths.</p> <p class="Default"><b>Conclusions</b></p> <p class="Default">While many factors influence survival in novel habitats, we illustrate the importance of behaviours which reduce locomotor costs when traversing new, energetically challenging environments, and demonstrate that these behaviours are utilised by pumas in the wild.</p> <p> </p> <p> </p>
sun gate at puma punku
Model created from Brien Foerster video : https://www.youtube.com/watch?v=-4veXYJElBs <br> Visit Tiwanaku (and Puma punku) in Bolivia, near Titicaca lake, amazing. Source: Objaverse 1.0 / Sketchfab
The PUMA Trial is a Trial of a Single ProHema Modulated-Cord Blood (CB) Unit as Part of a Double CB Transplant in Patients With Hematologic Malignancies.
ClinicalTrials.gov study NCT01627314. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PUMA (Paediatric Osseous Marrow Assessment)
ClinicalTrials.gov study NCT03466944. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Puma energetics: laboratory oxygen consumption and GPS information from free-ranging individuals
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Data from: The role of scent marking in mate selection by female pumas (Puma concolor)
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PUMA-induced apoptosis in telomere biology disorders
GEO Series GSE299229. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Archive of Census Related Products (ACRP): 1990 Public Use Microdata Sample Areas (PUMA) Boundary Files
The 1990 Public Use Microdata Sample Areas (PUMA) Boundary Files portion of the Archive of Census Related Products (ACRP) consists of 5% sample (apuma) and 1% sample (bpuma) areas for the mapping of 1990 PUMS data covering the continental United States, Alaska, and Hawaii. These boundary files are created based on equivalency files generated by the Geographic Correspondence Engine (GeoCorr). A national census tract to PUMA geography correspondence file is used in merging the two files resulting in the PUMA geographies. An additional file is also available consisting of geographic centroids for the PUMA coverages calculated by UIC (Urban Information Center/Office of Computing, University of Missouri). This portion of the ACRP is produced by the Center for International Earth Science Information Network (CIESIN).
Genome-wide mRNA profiling identifies X-box-binding protein 1 (XBP1) as an IRE1 and PUMA repressor
GEO Series GSE160416. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Violet, Blue JeanXXX and Puma
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1654104174.9116.jpg">https://4dcity.org/imgupload/1654104174.9116.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/68/360679587_6c743fbcd7_m.jpg">https://live.staticflickr.com/68/360679587_6c743fbcd7_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1654104174.9116.jpg<br>Image Dimensions: 240x160<br>Megapixels: 0.04 MP<br>Filesize: 25.01 KB<br><br>ExifOffset: 26
Transportes Expreso Y Turismo Puma.
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665336848.2855.jpg">https://4dcity.org/imgupload/1665336848.2855.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/926/42394918225_5a5103d4bd_m.jpg">https://live.staticflickr.com/926/42394918225_5a5103d4bd_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665336848.2855.jpg<br>Image Dimensions: 240x160<br>Megapixels: 0.04 MP<br>Filesize: 16.93 KB<br><br>ExifOffset: 26
Expresso Turismo Puma, Peru. A1H-969
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665336846.1726.jpg">https://4dcity.org/imgupload/1665336846.1726.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/1778/42282615520_5746c891dc_m.jpg">https://live.staticflickr.com/1778/42282615520_5746c891dc_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665336846.1726.jpg<br>Image Dimensions: 240x160<br>Megapixels: 0.04 MP<br>Filesize: 20.66 KB<br><br>ExifOffset: 26
Synthetical lethality of Werner helicase and mismatch repair deficiency is mediated by p53 and PUMA in colon cancer
GEO Series GSE216455. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
VEGA2 PUMA DUST MASS SPECTROMETER DATA V1.0
The data from IKI for this dataset were received as two binary files containing data taken in all instrument modes. These files were split into separate files for each mode, preserving the original ordering of the spectra within the table. Spectra in each mode table are arranged chronologically, using TIME of the spectrum on the BLISI clock, in sec.
VEGA1 PUMA DUST MASS SPECTROMETER DATA V1.0
The PUMA data were submitted by IKI in two unique forms, a GROUPS FITS file and undocumented binary file. In one original form, the data in this set were received as 4,027 separate FITS files, one for each spectrum. These files have been reformatted and combined into four tables, one for each of the PUMA instrument operating modes. Within each table, the spectra are in order of original FITS file number. This order is assumed to be chronological, based on time given by the BLISI clock, in sec.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.