Increased Elmo1 Expression worsens the AKI-CKD transition via ROS
RNA-seq (gene expression) · mouse · 11 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
- 11 samples: 6 × ischemia kidney WT vs 5 × ischemia kidney HHGroups 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
- Vitamin B12 Protects the Exacerbated Ischemia-Reperfusion Injury-Induced Chronic Kidney Disease in Mice with Genetically Increased Elmo1Antioxidants (Basel, Switzerland) · 2025
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 GSE304219_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 PRJNA1299412 and SRA study SRP605489. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 2 replicated groups read from 11 sample titles; they account for 11 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.
- GSM9145386 ischemia kidney HH1 ischemia kidney HH
- GSM9145387 ischemia kidney HH2 ischemia kidney HH
- GSM9145388 ischemia kidney HH3 ischemia kidney HH
- GSM9145389 ischemia kidney HH4 ischemia kidney HH
- GSM9145390 ischemia kidney HH5 ischemia kidney HH
- GSM9145391 ischemia kidney WT1 ischemia kidney WT
- GSM9145392 ischemia kidney WT2 ischemia kidney WT
- GSM9145393 ischemia kidney WT3 ischemia kidney WT
- GSM9145394 ischemia kidney WT4 ischemia kidney WT
- GSM9145395 ischemia kidney WT5 ischemia kidney WT
- GSM9145396 ischemia kidney WT6 ischemia kidney WT
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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.