Sex-biasing influence of autism-associated Ube3a gene overdosage at connectomic, behavioral and transcriptomic levels
RNA-seq (gene expression) · mouse · 38 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 38 samples: 38 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Sex-biasing influence of autism-associated Ube3a gene overdosage at connectomic, behavioral, and transcriptomic levelsScience advances · 2024
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE217420_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA898989 and SRA study SRP406604. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 38 sample titles: 38 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM6717057 238, Hypothalamus, Ube3a2x, Male
- GSM6717058 238, Prefrontal cortex, Ube3a2x, Male
- GSM6717059 245, Hypothalamus, WT, Male
- GSM6717060 245, Prefrontal cortex, WT, Male
- GSM6717061 251, Hypothalamus, WT, Male
- GSM6717062 251, Prefrontal cortex, WT, Male
- GSM6717063 253, Hypothalamus, Ube3a2x, Male
- GSM6717064 253, Prefrontal cortex, Ube3a2x, Male
- GSM6717065 256, Prefrontal cortex, WT, Male
- GSM6717066 258, Hypothalamus, Ube3a2x, Male
- GSM6717067 258, Prefrontal cortex, Ube3a2x, Male
- GSM6717068 259, Prefrontal cortex, WT, Female
- GSM6717069 262, Hypothalamus, WT, Female
- GSM6717070 262, Prefrontal cortex, WT, Female
- GSM6717071 266, Prefrontal cortex, WT, Male
- GSM6717072 267, Hypothalamus, Ube3a2x, Male
- GSM6717073 267, Prefrontal cortex, Ube3a2x, Male
- GSM6717074 272, Hypothalamus, Ube3a2x, Female
- GSM6717075 272, Prefrontal cortex, Ube3a2x, Female
- GSM6717076 395, Prefrontal cortex, WT, Female
- GSM6717077 397, Prefrontal cortex, WT, Female
- GSM6717078 398, Hypothalamus, WT, Female
- GSM6717079 402, Prefrontal cortex, Ube3a2x, Male
- GSM6717080 403, Hypothalamus, WT, Male
- GSM6717081 403, Prefrontal cortex, WT, Male
- GSM6717082 404, Hypothalamus, Ube3a2x, Male
- GSM6717083 410, Hypothalamus, WT, Female
- GSM6717084 417, Hypothalamus, Ube3a2x, Female
- GSM6717085 417, Prefrontal cortex, Ube3a2x, Female
- GSM6717086 420, Hypothalamus, Ube3a2x, Female
- GSM6717087 420, Prefrontal cortex, Ube3a2x, Female
- GSM6717088 423, Hypothalamus, WT, Male
- GSM6717089 462, Hypothalamus, Ube3a2x, Female
- GSM6717090 462, Prefrontal cortex, Ube3a2x, Female
- GSM6717091 468, Hypothalamus, Ube3a2x, Female
- GSM6717092 468, Prefrontal cortex, Ube3a2x, Female
- GSM6717093 471, Hypothalamus, WT, Female
- GSM6717094 93, Prefrontal cortex, WT, Female
- GSE284678 UBE3A reinstatement restores behavior and proteome in an Angelman syndrome mouse model of imprinting defects 14 samples shares ube3a
- GSE267688 Autism-associated mutations in Kdm6b affect its role as a chromatin regulator in brain development 20 samples shares autism-associated
- GSE271650 Autism-associated CHD8 controls reactive gliosis and neuroinflammation via remodeling chromatin in astrocytes [bulk RNA-seq] 18 samples shares autism-associated
- GSE271651 Autism-associated CHD8 controls reactive gliosis and neuroinflammation via remodeling chromatin in astrocytes [Microglia RNA-seq] 9 samples shares autism-associated
- GSE277578 Molecular Connectomics Reveals a Glucagon-Like Peptide 1 Sensitive Neural Circuit for Satiety 5 samples shares connectomic
- GSE271652 Autism-associated CHD8 controls reactive gliosis and neuroinflammation via remodeling chromatin in astrocytes [ATAC-seq] 9 samples shares autism-associated
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.