Fucci-G1 insertion partially disrupts Shh expression
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 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.
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 GSE306148_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 PRJNA1309593 and SRA study SRP610729. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9194076 E11PA_G1Het_A1 E11PA_G1Het_A
- GSM9194077 E11PA_G1Het_A2 E11PA_G1Het_A
- GSM9194078 E11PA_G1Het_A3 E11PA_G1Het_A
- GSM9194079 E11PA_WT_A4 E11PA_WT_A
- GSM9194080 E11PA_G1Hom_A5 E11PA_G1Hom_A
- GSM9194081 E11PA_G1Het_A6 E11PA_G1Het_A
- GSM9194082 E11PA_G1Hom_A7 E11PA_G1Hom_A
- GSM9194083 E11PA_WT_A8 E11PA_WT_A
- GSM9194084 E11PA_G1Hom_A9 E11PA_G1Hom_A
- GSM9194085 E11PA_G1Het_B1 E11PA_G1Het_B
- GSM9194086 E11PA_G1Hom_B2 E11PA_G1Hom_B
- GSM9194087 E11PA_G1Het_B3 E11PA_G1Het_B
- GSM9194088 E11PA_WT_B4 E11PA_WT_B
- GSM9194089 E11PA_G1Hom_B5 E11PA_G1Hom_B
- GSM9194090 E11PA_WT_B5 E11PA_WT_B
- GSM9194091 E11PA_G1Het_B7 E11PA_G1Het_B
- GSM9194092 E11PA_WT_B8 E11PA_WT_B
- GSM9194093 E11PA_WT_B9 E11PA_WT_B
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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.