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11 results for “gap genes”
Ivy Gap GBM Gene Expression
<p><strong>Abstract:</strong></p> <p>The Ivy Glioblastoma Atlas Project represents a fundamental tool for investigating the cellular and molecular underpinnings of glioblastoma. It offers an accessible online atlas and database containing valuable clinical and genomic information, which will undoubtedly facilitate future studies on glioblastoma pathogenesis, diagnosis, and therapeutic approaches. Glioblastoma is a highly aggressive brain tumor with a bleak prognosis, and its intricate molecular and cellular characteristics have not been fully elucidated in relation to conventional diagnostic histologic features. The dataset provided is comprised of gene expression values for each sample and gene. </p> <p><strong>Inspiration:</strong></p> <p>This dataset was uploaded to UBRITE for GTKB project. </p> <p><strong>Acknowledgments:</strong></p> <p>Puchalski RB, Shah N, Miller J, et al. An anatomic transcriptional atlas of human glioblastoma. Science. 2018;360(6389):660-663. doi:10.1126/science.aaf2666</p> <p><strong>U-BRITE last update: </strong>07/28/2023</p> <p> </p>
Figure 1. Bayesian COI gene tree for 51 in Integrative taxonomy of the primitively segmented spider genus Ganthela (Araneae: Mesothelae: Liphistiidae): DNA barcoding gap agrees with morphology
Figure 1. Bayesian COI gene tree for 51 terminals of Ganthela, with the results of five different species delimitation approaches, in addition to morphology (see legend). Numbers above branches show posterior probability and bootstrap supports, and values below branches show mean intraspecific (black) and interspecific genetic distances (red), calculated as Kimura two-parameter (K2P)/p-distance. Species names and locality group terminals (for specimen codes, see Table 1) according to consensus results of species delimitation approaches.
Mitochondrial genes from eighteen angiosperms fill sampling gaps for phylogenomic inferences of the early diversification of flowering plants
<p class="Default"><span>The early diversification of angiosperms is a rapid yet complicated process and thus it renders the phylogenetic analyses of early-diverging angiosperms much difficulty. Plastid and nuclear phylogenomic studies have raised several controversial hypotheses regarding the angiosperm phylogeny, whereas mitochondrial genomes have been largely ignored. In this study, we newly sequenced mitochondrial genomes from 18 angiosperms to fill the sampling gaps in magnoliids, Austrobaileyales, Chloranthales, Ceratophyllales, and early-diverging lineages of eudicots and monocots. A data matrix of 38 mitochondrial genes from 107 taxa was assembled to address this question. Although conflicting phylogenies were recovered in this study from different datasets and analytical methods, congruence was achieved regarding the deep relationships of several major angiosperm lineages: Chloranthales always groups with Ceratophyllales, Austrobaileyales is sister to mesangiosperms, and a previously unplaced clade—Dilleniales—is consistently resolved as a sister to superasterids. Substitutional saturation, GC compositional heterogeneity, and codon-usage bias are suggested as common reasons for the noisy signals that impact phylogenetic reconstructions, and angiosperm mitochondrial genes seem to hardly suffer from these factors. In addition, the 3<sup>rd</sup> codon positions of the mitochondrial genes contained more phylogenetic signals than the 1<sup>st</sup> and 2<sup>nd</sup> codon positions, which might be responsible for the incongruent results recovered among different datasets. Due to the rapid radiation process, the relationships among these early lineages are not well resolved. Nevertheless, this study based on mitochondrial genomes provides additional evidence and alternative hypotheses for the early evolution and diversification of angiosperms.</span></p>
Mitochondrial genes from eighteen angiosperms fill sampling gaps for phylogenomic inferences of the early diversification of flowering plants
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Shrinking the Psoriasis assessment gap: Early gene-expression profiling accurately predicts response to long-term treatment
GEO Series GSE85034. Homo sapiens. 179 samples. Type: Expression profiling by array.
Gene expression profile at single cell level of cells isolated from the bone fracture gap and un-injured bone marrow in mouse osteotomy models
GEO Series GSE230260. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Genes and Phenotype (GAP) A National Resource for Genotype-Phenotype Studies of Immunological and Inflammatory Pathways
ClinicalTrials.gov study NCT01161056. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Strain-specific Variation in Mouse Gene Expression and the Onset of Gap Junction Mutation-induced Cataracts
GEO Series GSE5645. Mus musculus. 8 samples. Type: Expression profiling by array.
Novel Lung Cancer-Related Genes Identified by a Non-Gapped Array-Comparative Genomic Hybridization Microarray in Asian and Caucasian Populations
GEO Series GSE21276. Homo sapiens. 60 samples. Type: Genome variation profiling by genome tiling array.
Sex blind: bridging the gap between drug exposure and sex-related gene expression in Danio rerio using next-generation sequencing (NGS) data and a literature review to find the missing links in pharma
GEO Series GSE234104. Danio rerio. 6 samples. Type: Expression profiling by high throughput sequencing.
GAP-43 HZ and KO mouse barrel cortex show modifications in genes associated with synaptogenesis and barrel map formation
GEO Series GSE12687. Mus musculus. 9 samples. Type: Expression profiling by array.
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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.