mRNA seq of MOSAICS based Irs1 KO, Srebf1 KO, Tbx3 KO, Bcl6 KO, Smyd2 KO and control (sgGFP and sgLacZ) livers
RNA-seq (gene expression) · mouse · 34 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
- 34 samples: 7 conditions, mostly with about 5 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.
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 GSE212916_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 PRJNA878458 and SRA study SRP396237. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 34 samples.
How we read this: 7 replicated groups read from 34 sample titles; they account for 34 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.
- GSM6561011 Bcl6 KO liver #1 Bcl6 KO liver #
- GSM6561012 Bcl6 KO liver #2 Bcl6 KO liver #
- GSM6561013 Bcl6 KO liver #3 Bcl6 KO liver #
- GSM6561014 Bcl6 KO liver #4 Bcl6 KO liver #
- GSM6561015 Bcl6 KO liver #5 Bcl6 KO liver #
- GSM6561016 sgGFP control liver #1 sgGFP control liver #
- GSM6561017 sgGFP control liver #2 sgGFP control liver #
- GSM6561018 sgGFP control liver #3 sgGFP control liver #
- GSM6561019 sgGFP control liver #4 sgGFP control liver #
- GSM6561020 Irs1 KO liver #1 Irs1 KO liver #
- GSM6561021 Irs1 KO liver #2 Irs1 KO liver #
- GSM6561022 Irs1 KO liver #3 Irs1 KO liver #
- GSM6561023 Irs1 KO liver #4 Irs1 KO liver #
- GSM6561024 Irs1 KO liver #5 Irs1 KO liver #
- GSM6561025 sgLacZ control liver #1 sgLacZ control liver #
- GSM6561026 sgLacZ control liver #2 sgLacZ control liver #
- GSM6561027 Smyd2 KO liver #1 Smyd2 KO liver #
- GSM6561028 Smyd2 KO liver #2 Smyd2 KO liver #
- GSM6561029 Smyd2 KO liver #3 Smyd2 KO liver #
- GSM6561030 Smyd2 KO liver #4 Smyd2 KO liver #
- GSM6561031 Smyd2 KO liver #5 Smyd2 KO liver #
- GSM6561032 Smyd2 KO liver #6 Smyd2 KO liver #
- GSM6561033 Srebf1 KO liver #1 Srebf1 KO liver #
- GSM6561034 Srebf1 KO liver #2 Srebf1 KO liver #
- GSM6561035 Srebf1 KO liver #3 Srebf1 KO liver #
- GSM6561036 Srebf1 KO liver #4 Srebf1 KO liver #
- GSM6561037 Srebf1 KO liver #5 Srebf1 KO liver #
- GSM6561038 Tbx3 KO liver #1 Tbx3 KO liver #
- GSM6561039 Tbx3 KO liver #2 Tbx3 KO liver #
- GSM6561040 Tbx3 KO liver #3 Tbx3 KO liver #
- GSM6561041 Tbx3 KO liver #4 Tbx3 KO liver #
- GSM6561042 Tbx3 KO liver #5 Tbx3 KO liver #
- GSM6561043 Tbx3 KO liver #6 Tbx3 KO liver #
- GSM6561044 Tbx3 KO liver #7 Tbx3 KO liver #
- GSE290477 Dexmedetomidine Inhibits Fear Memory Consolidation via the Astrocyte-Specific Srebf1-Phgdh Pathway in the Prelimbic Prefrontal Cortex 12 samples shares srebf1
- GSE262941 ARMC5 selectively degrades SCAP-free SREBF1 and is essential for fatty acid desaturation in adipocytes 6 samples shares srebf1
- GSE271104 Y-chromosome clonal random expression produces mosaics in male mice 6 samples shares mosaics
- GSE264274 ARMC5 selectively degrades SCAP-free SREBF1 and is essential for fatty acid desaturation in adipocytes. 6 samples shares srebf1
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.