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32 results for “ribosomal RNA genes”

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geo24/100

Regulation of ribosomal gene expression and senescence by a PML-mTOR-RONIN nuclear complex in triple-negative breast cancer [RNA-seq_shPML]

GEO Series GSE283106. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2025View details →
geo24/100

The DYRK1A protein kinase is recruited to a subset of ribosomal protein gene promoters in human and mouse cells [RNA-seq]

GEO Series GSE155808. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2023View details →
geo24/100

Treehouse compendium of ribosomal-depletion RNA-Seq gene expression data from 43 PDX

GEO Series GSE294352. Homo sapiens. 0 samples. Type: Expression profiling by high throughput sequencing; Third-party reanalysis.

openGEO-OpenApr 2025View details →
geo24/100

Characterization of R-loop-interacting proteins in embryonic stem cells reveals roles in ribosomal RNA processing and gene expression

GEO Series GSE161890. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2021View details →
geo24/100

Growth regulated co-occupancy of Mediator and Lsm3 at intronic ribosomal protein genes [RNA-seq]

GEO Series GSE254760. Saccharomyces cerevisiae. 42 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2024View details →
geo20/100

UBF Is An Epigenetic Factor Required For Ribosomal RNA Gene Activity And Preinitiation Complex Assembly But Not For Nucleolar Body Formation

GEO Series GSE55450. Mus musculus. 20 samples. Type: Expression profiling by array.

openGEO-OpenAug 2014View details →
geo20/100

CMTR1 is recruited to transcription start sites and has enhanced influence over ribosomal protein and histone genes [RNA-seq]

GEO Series GSE175629. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
zenodo20/100

FIGURE 9 in Phylogenetic analysis of the Prionini (Coleoptera: Cerambycidae: Prioninae) from China based on mitochondrial ribosomal RNA genes and Cytochrome oxidase I gene

FIGURE 9. Phylogeny of the Chinese Prionini based on combined sequences of 12S rRNA, 16S rRNA and COI (excluding Priotyrannus closteroides). A: Bootstrap 50% majority-rule consensus tree of distance method by PAUP* with bootstrap values (%), Wtd. S.S. = 0.0245, APSD = 3.011, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; B: Bootstrap 50% majority-rule consensus tree of maximum likelihood method by PAUP* with bootstrap values (%), -Ln likelihood =8113.8589, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; C: Bootstrap 50% majority-rule consensus tree of parsimony method by PAUP* with bootstrap values (%), tree length = 1415, CI = 0.6919, RI =0.3344, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; D: Bayesian tree by MrBayes with Bayesian posterior probabilities (%), the scale bar in the bottom left corner of the tree meaning 0.1 nucleotide substitutions per site.

opennotspecifiedMay 2010View details →
zenodo20/100

FIGURE 5 in Phylogenetic analysis of the Prionini (Coleoptera: Cerambycidae: Prioninae) from China based on mitochondrial ribosomal RNA genes and Cytochrome oxidase I gene

FIGURE 5. Phylogeny of the Chinese Prionini based on partial sequences of COI. A: Bootstrap 50% majority-rule consensus tree of distance method by PAUP* with bootstrap values (%), Wtd. S.S. = 0.0455, APSD = 4.103, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; B: Bootstrap 50% majority-rule consensus tree of maximum likelihood method by PAUP* with bootstrap values (%), -Ln likelihood = 3935.3320, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; C: Bootstrap 50% majority-rule consensus tree of parsimony method by PAUP* with bootstrap values (%), tree length =726, CI = 0.6364, RI = 0.2941, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; D: Bayesian tree by MrBayes with Bayesian posterior probabilities (%), the scale bar in the bottom left corner of the tree meaning 0.1 nucleotide substitutions per site.

opennotspecifiedMay 2010View details →
zenodo20/100

FIGURE 8 in Phylogenetic analysis of the Prionini (Coleoptera: Cerambycidae: Prioninae) from China based on mitochondrial ribosomal RNA genes and Cytochrome oxidase I gene

FIGURE 8. Phylogeny of the Chinese Prionini based on combined sequences of 12S rRNA, 16S rRNA and COI. A: Bootstrap 50% majority-rule consensus tree of distance method by PAUP* with bootstrap values (%), Wtd. S.S. = 0.0496, APSD = 3.764, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; B: Bootstrap 50% majority-rule consensus tree of maximum likelihood method by PAUP* with bootstrap values (%), -Ln likelihood = 8567.6164, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; C: Bootstrap 50% majority-rule consensus tree of parsimony method by PAUP* with bootstrap values (%), tree length = 1518, CI = 0.6726, RI = 0.3329, the scale bar in the bottom left corner of the tree being in units appropriate to the tree; D: Bayesian tree by MrBayes with Bayesian posterior probabilities (%), the scale bar in the bottom left corner of the tree meaning 0.1 nucleotide substitutions per site.

opennotspecifiedMay 2010View details →
geo16/100

Treehouse compendium of ribosomal-depletion RNA-Seq gene expression data from 43 PDX

GEO Series GSE268100. Homo sapiens. 0 samples. Type: Expression profiling by high throughput sequencing; Third-party reanalysis.

openGEO-OpenMay 2024View details →
geo16/100

Treehouse compendium of ribosomal-depletion RNA-Seq gene expression data from 296 tumors

GEO Series GSE268134. Homo sapiens. 0 samples. Type: Expression profiling by high throughput sequencing; Third-party reanalysis.

openGEO-OpenMay 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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