Transcriptomic analysis of gene diffrentially expressed after Pemafibrate treatment on the livers of mice overexpressing FAT10.
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 4 × Ad-CTRL CMC n vs 4 × Ad-CTRL Pema n vs 4 × Ad-FAT10 CMC n vs 4 × Ad-FAT10 Pema nGroups 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 GSE239392_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 PRJNA999211 and SRA study SRP451743. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM7664017 Ad-CTRL CMC n1 Ad-CTRL CMC n
- GSM7664018 Ad-CTRL CMC n2 Ad-CTRL CMC n
- GSM7664019 Ad-CTRL CMC n3 Ad-CTRL CMC n
- GSM7664020 Ad-CTRL CMC n4 Ad-CTRL CMC n
- GSM7664021 Ad-CTRL Pema n1 Ad-CTRL Pema n
- GSM7664022 Ad-CTRL Pema n2 Ad-CTRL Pema n
- GSM7664023 Ad-CTRL Pema n3 Ad-CTRL Pema n
- GSM7664024 Ad-CTRL Pema n4 Ad-CTRL Pema n
- GSM7664025 Ad-FAT10 CMC n1 Ad-FAT10 CMC n
- GSM7664026 Ad-FAT10 CMC n2 Ad-FAT10 CMC n
- GSM7664027 Ad-FAT10 CMC n3 Ad-FAT10 CMC n
- GSM7664028 Ad-FAT10 CMC n4 Ad-FAT10 CMC n
- GSM7664029 Ad-FAT10 Pema n1 Ad-FAT10 Pema n
- GSM7664030 Ad-FAT10 Pema n2 Ad-FAT10 Pema n
- GSM7664031 Ad-FAT10 Pema n3 Ad-FAT10 Pema n
- GSM7664032 Ad-FAT10 Pema n4 Ad-FAT10 Pema n
- GSE276922 Using RNA-seq to analyze gene expression in the mouse lens epithelial cells alpha-TN4 overexpressing Vector, WT-CREB, KCREB, R314A-CREB, S133A-CREB, S133A-KCREB and S133A/R314A -CREB before and after TGFβ treatment 14 samples shares overexpressing, treatment
- GSE264124 Single Cell RNA sequencing of the non-tumor components of the tumor mass after either empty vector control or Zbtb46 overexpressing lentiviral intratumoral treatments 2 samples shares overexpressing, treatment
- GSE279577 Transcriptomic Landscape of Hyperthyroidism in Mice Overexpressing Thyroid Stimulating Hormone 21 samples shares overexpressing
- GSE224812 Transcriptomic studies in NR4A1 overexpressing MIN6 cells and the effect of EGCG by RNA seq analysis 9 samples shares overexpressing
- GSE315028 Multiple Mechanisms Contribute to Robust Type 1 Diabetes Protection in Nfkbid Overexpressing NOD mice 17 samples shares overexpressing
- GSE298879 Single-cell RNA-seq analysis of wildtype and ETV2-overexpressing embryoid body-derived progenitor cells 13 samples shares overexpressing
- GSE280552 NNMT overexpression promotes tubular senescence and fibrosis in human chronic kidney disease (Nnmt overexpressing TEC cells) [Series_3] 12 samples shares overexpressing
- GSE188361 RNA sequencing data of intestinal tissue from wild-type C57BL/6 mice and ITGB6-overexpressing transgenic mice 10 samples shares overexpressing
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.