Sperm transcriptional state associated with paternal transmission of stress phenotypes
RNA-seq (gene expression) · mouse · 58 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
- 58 samples: 58 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.
Read the full summary ↓
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 GSE174780_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 PRJNA731510 and SRA study SRP320711. 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 58 sample titles: 58 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.
- GSM5328031 AMC-100-post
- GSM5328032 AMC-11-post
- GSM5328033 AMC-11-pre
- GSM5328034 AMC-27-post
- GSM5328035 AMC-27-pre
- GSM5328036 AMC-28-post
- GSM5328037 AMC-28-pre
- GSM5328038 AMC-39-post
- GSM5328039 AMC-39-pre
- GSM5328040 AMC-42-post
- GSM5328041 AMC-42-pre
- GSM5328042 AMC-47-post
- GSM5328043 AMC-47-pre
- GSM5328044 AMC-48-post
- GSM5328045 AMC-48-pre
- GSM5328046 AMC-49-post
- GSM5328047 AMC-49-pre
- GSM5328048 AMC-51-post
- GSM5328049 AMC-51-pre
- GSM5328050 AMC-52-post
- GSM5328051 AMC-52-pre
- GSM5328052 AMC-54-post
- GSM5328053 AMC-54-pre
- GSM5328054 AMC-55-post
- GSM5328055 AMC-55-pre
- GSM5328056 AMC-57-post
- GSM5328057 AMC-57-pre
- GSM5328058 AMC-59-post
- GSM5328059 AMC-59-pre
- GSM5328060 AMC-61-pre
- GSM5328061 AMC-61-post
- GSM5328062 AMC-66-post
- GSM5328063 AMC-66-pre
- GSM5328064 AMC-67-post
- GSM5328065 AMC-67-pre
- GSM5328066 AMC-68-post
- GSM5328067 AMC-68-pre
- GSM5328068 AMC-69-post
- GSM5328069 AMC-69-pre
- GSM5328070 AMC-70-post
+ 18 more — browse all 58 samples with per-sample file links →
- GSE304867 Chronic compression recapitulates transcriptional, metabolic, and functional state changes in macrophages associated with pro-tumor phenotypes 12 samples shares phenotypes, state
- GSE310244 Dynamic Resilience: Stress Phenotypes and Their Impact on Opioid-Taking Behavior, Brain Activity, and Gene Expression 68 samples shares phenotypes, stress
- GSE336483 Stress-Coping Phenotypes Shape Adipose Tissue Function and Plasticity and Modulate Metabolic Resilience 36 samples shares phenotypes, stress
- GSE335147 Mitochondrial profiling across macrophage states reveals inhibition of IL-4/IL-13 reprogramming by the integrated stress response 24 samples shares stress, state
- GSE268468 Persistent open chromatin state in early-life stress-activated cells of the VTA 10 samples shares stress, state
- GSE279536 Hypoxic stress dysregulates functions of glioma-associated myeloid cells through epigenomic and transcriptional programs [RNA-seq] 38 samples shares stress
- GSE272755 Transcriptional effects of lysosome stress on mouse bone marrow-derived macrophages and primary microglia 263 samples shares stress
- GSE242709 Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS) 76 samples shares stress
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.