Loss function of Fkbp5 leads to gene network alterations related to neuron development, mitochondria morphology, and calcium permissiveness at baseline and in alcohol stimulation conditions
RNA-seq (gene expression) · mouse · 32 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
- 32 samples: 8 conditions, mostly with about 4 replicates eachGroups 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-Specific Impact of Fkbp5 on Hippocampal Response to Acute Alcohol Injection: Involvement in Alterations of Metabolism-Related PathwaysCells · 2023
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 GSE143354_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 PRJNA600234 and SRA study SRP240923. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 8 replicated groups read from 32 sample titles; they account for 32 of them. 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.
- GSM4257518 hi_alc_f_ko_replicate 1 hi_alc_f_ko
- GSM4257519 hi_alc_f_ko_replicate 2 hi_alc_f_ko
- GSM4257520 hi_alc_f_ko_replicate 3 hi_alc_f_ko
- GSM4257521 hi_alc_f_ko_replicate 4 hi_alc_f_ko
- GSM4257522 hi_alc_f_wt_replicate 1 hi_alc_f_wt
- GSM4257523 hi_alc_f_wt_replicate 2 hi_alc_f_wt
- GSM4257524 hi_alc_f_wt_replicate 3 hi_alc_f_wt
- GSM4257525 hi_alc_f_wt_replicate 4 hi_alc_f_wt
- GSM4257526 hi_alc_m_ko_replicate 1 hi_alc_m_ko
- GSM4257527 hi_alc_m_ko_replicate 2 hi_alc_m_ko
- GSM4257528 hi_alc_m_ko_replicate 3 hi_alc_m_ko
- GSM4257529 hi_alc_m_ko_replicate 4 hi_alc_m_ko
- GSM4257530 hi_alc_m_wt_replicate 1 hi_alc_m_wt
- GSM4257531 hi_alc_m_wt_replicate 2 hi_alc_m_wt
- GSM4257532 hi_alc_m_wt_replicate 3 hi_alc_m_wt
- GSM4257533 hi_alc_m_wt_replicate 4 hi_alc_m_wt
- GSM4257534 hi_naive_f_KO_replicate 1 hi_naive_f_KO
- GSM4257535 hi_naive_f_KO_replicate 2 hi_naive_f_KO
- GSM4257536 hi_naive_f_KO_replicate 3 hi_naive_f_KO
- GSM4257537 hi_naive_f_KO_replicate 4 hi_naive_f_KO
- GSM4257538 hi_naive_f_wt_replicate 1 hi_naive_f_wt
- GSM4257539 hi_naive_f_wt_replicate 2 hi_naive_f_wt
- GSM4257540 hi_naive_f_wt_replicate 3 hi_naive_f_wt
- GSM4257541 hi_naive_f_wt_replicate 4 hi_naive_f_wt
- GSM4257542 hi_naive_m_KO_replicate 1 hi_naive_m_KO
- GSM4257543 hi_naive_m_KO_replicate 2 hi_naive_m_KO
- GSM4257544 hi_naive_m_KO_replicate 3 hi_naive_m_KO
- GSM4257545 hi_naive_m_KO_replicate 4 hi_naive_m_KO
- GSM4257546 hi_naive_m_wt_replicate 1 hi_naive_m_wt
- GSM4257547 hi_naive_m_wt_replicate 2 hi_naive_m_wt
- GSM4257548 hi_naive_m_wt_replicate 3 hi_naive_m_wt
- GSM4257549 hi_naive_m_wt_replicate 4 hi_naive_m_wt
- GSE318028 Pharmacological inhibition of FKBP51 mitigates early life adversity-induced social deficits 246 samples shares fkbp5
- GSE239814 Mitochondrial signals mediate paternal effects on offspring metabolism (Smart-Seq) 221 samples shares mitochondria
- GSE302188 Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance 165 samples shares alterations
- GSE296763 Mitochondrial respiration is necessary for CD8 T cell proliferation and cell fate 99 samples shares mitochondria
- GSE280699 The mitochondrial-targeted peptide therapeutic elamipretide improves cardiac and skeletal muscle function during aging without detectable changes in tissue epigenetic or transcriptomic age [RNA-seq] 78 samples shares mitochondria
- GSE325852 Translatome profiling reveals opposing alterations in inhibitory and excitatory neurons of Fragile X mice and identifies EPAC2 as a therapeutic target 69 samples shares alterations
- GSE297195 Age-dependent Transcriptional and Circuit Alterations in the brain Underlie Post-Anesthesia Neurobehavioral Dysfunction 66 samples shares alterations
- GSE273310 DELE1 mitochondrial integrated stress response to CHCHD10 G58R protein misfolding in striated muscle [RNA-seq] 64 samples shares mitochondria
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.