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15 results for “Ailuropoda melanoleuca”
Fig. 1 in Review on parasites of wild and captive giant pandas (Ailuropoda melanoleuca): Diversity, disease and conservation impact
Fig. 1. Distribution of wild giant pandas in six mountain regions (Qinling, Minshan, Qionglai, Liangshan, Daxiangling and Xiaoxiangling) in three Provinces (Gansu, Shaanxi, and Sichuan) of China. Adapted from Wang et al. (2018).
Fig. 1 in Comparison of a commercial ELISA and indirect hemagglutination assay with the modified agglutination test for detection of Toxoplasma gondii antibodies in giant panda (Ailuropoda melanoleuca)
Fig. 1. Receiver operating characteristics (ROC) analysis of the ELISA. ROC analysis shows an area under the curve (AUC) of 0.861 (95% CI: 0.712–1.000) for ELISA (a), 0.894 (95% CI: 0.791–0.997) for ELISA (b), and 0.902 (95% CI: 0.799–1.000) for ELISA (c).
Magnetic Resonance Imaging Scan of the Brain of a Giant panda (Ailuropoda melanoleuca)
<p>Magnetic Resonance Imaging Scan of the Brain of a Giant panda (<i>Ailuropoda melanoleuca</i>) from http://braincatalogue.org/Giant_panda</p>
Data from: Transcriptome-derived tetranucleotide microsatellites and their associated genes from the giant panda (Ailuropoda melanoleuca)
Recently, an increasing number of microsatellites or Simple Sequence Repeats (SSRs) have been found and characterized from transcriptome. Such SSRs can be employed as putative functional markers to easily tag corresponding genes, which play an important role in biomedical studies and genetic analysis. However, the transcriptome-derived SSRs for giant panda (Ailuropoda melanoleuca) are not yet available. In the present work, we identified and characterized 20 tetranucleotide microsatellite loci from a transcript database generated from the blood of giant panda. Furthermore, we assigned their predicted transcriptome locations: 16 loci were assigned to untranslated regions (UTRs) and 4 loci were assigned to coding regions (CDSs). Gene identities of 14 transcripts contained corresponding microsatellites were determined, which provide useful information to study the potential contribution of SSRs to gene regulation in giant panda. The polymorphic information content (PIC) values ranged from 0.293 to 0.789 with an average of 0.603 for the 16 UTRs-derived SSRs. Interestingly, four CDS-derived microsatellites developed in our study were also polymorphic, and the instability of these four CDS-derived SSRs was further validated by re-genotyping and sequencing. The genes contained these four CDS-derived SSRs were embedded with various types of repeat motifs. The interaction of all the length-changing SSRs might provide a way against coding region frameshift caused by microsatellite instability. We hope these newly gene-associated biomarkers would pave the way for genetic and biomedical studies for giant panda in the future. In sum, this set of transcriptome-derived markers complements the genetic resources available for giant panda.
Figure 3 in Molecular cloning and sequence analysis of the gene encoding interleukin-6 of the giant panda (Ailuropoda melanoleuca)
Figure 3. Phylogenetic relationships of IL-6 sequences from seven species in Carnivora. (A) Neighbour-joining tree of IL-6 nucleotide sequences based on Kimura's 2-parameter distances. (B) Maximum-parsimony tree of IL-6 mature protein sequences.
Figure 1 in Molecular cloning and sequence analysis of the gene encoding interleukin-6 of the giant panda (Ailuropoda melanoleuca)
Figure 1. RT-PCR of giant panda IL-6. The expected, 700bp fragment of giant panda IL-6 cDNA was amplified.
Data from: Transcriptome-derived tetranucleotide microsatellites and their associated genes from the giant panda (Ailuropoda melanoleuca)
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Figure 4 from: He X, Hsu WH, Hou R, Yao Y, Xu Q, Jiang D, Wang L, Wang H (2020) Comparative genomics reveals bamboo feeding adaptability in the giant panda (Ailuropoda melanoleuca). ZooKeys 923: 141-156. https://doi.org/10.3897/zookeys.923.39665
Figure 4 The GO enrichment analysis of giant panda positive selection gene. The abscissa is the pair value of the corrected p value, and the corrected p < 0.05 is taken as the threshold value.
Figure 3 from: He X, Hsu WH, Hou R, Yao Y, Xu Q, Jiang D, Wang L, Wang H (2020) Comparative genomics reveals bamboo feeding adaptability in the giant panda (Ailuropoda melanoleuca). ZooKeys 923: 141-156. https://doi.org/10.3897/zookeys.923.39665
Figure 3 The KEGG enrichment analysis of the giant panda expansion gene family. The abscissa is the pair value of the corrected p value, and the corrected p < 0.05 is taken as the threshold value.
Figure 2 from: He X, Hsu WH, Hou R, Yao Y, Xu Q, Jiang D, Wang L, Wang H (2020) Comparative genomics reveals bamboo feeding adaptability in the giant panda (Ailuropoda melanoleuca). ZooKeys 923: 141-156. https://doi.org/10.3897/zookeys.923.39665
Figure 2 Analysis of the evolution of giant panda gene family. The number of points represent the time of divergence, in millions of years (Myr). The numbers on the branches represent the number of genes, - for contraction, + for expansion.
Figure 1 from: He X, Hsu WH, Hou R, Yao Y, Xu Q, Jiang D, Wang L, Wang H (2020) Comparative genomics reveals bamboo feeding adaptability in the giant panda (Ailuropoda melanoleuca). ZooKeys 923: 141-156. https://doi.org/10.3897/zookeys.923.39665
Figure 1 The enrichment analysis of shared genes between the giant panda and mammalian species with different feeding habits. Giant pandas have the characteristics of both carnivores and herbivores. Studies show that it is close to carnivores in perception and close to herbivores in physiological functions. The abscissa is the pair value of the corrected p value, and the corrected p < 0.05 is taken as the threshold value. a shared genes between the giant panda and other mammalian species with different feeding habits b gene enrichment analysis of the giant panda and carnivores c gene enrichment analysis of the giant panda and herbivores.
Data from: First insights into the giant panda (Ailuropoda melanoleuca) blood transcriptome: a resource for novel gene loci and immunogenetics
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Comparative analysis of piRNA profiles reveals cryoinjury or freezability between boar (Sus scrofa) and giant panda (Ailuropoda melanoleuca) sperm during cryopreservation
GEO Series GSE163128. Sus scrofa; Ailuropoda melanoleuca. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Figure 2 in Molecular cloning and sequence analysis of the gene encoding interleukin-6 of the giant panda (Ailuropoda melanoleuca)
Figure 2. Alignment of deduced amino acid sequences of IL-6 mature proteins for seven species in Carnivora. Dots indicate amino acids identical to the top sequence and dashes denote the gaps.
Exosomal microRNAs in the giant panda (Ailuropoda melanoleuca) breast milk: the potential maternal regulators for the development of newborn cubs
GEO Series GSE89755. Ailuropoda melanoleuca; Bambusa vulgaris. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.
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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.