Quinolinic acid metabolism may mitigate AKI to CKD transition
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 5 × Kidney, vehicle, vs 4 × kidney, QA,Groups 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 GSE332889_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 PRJNA1469242 and SRA study SRP702795. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 9 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.
- GSM9754629 Kidney, vehicle, 1 Kidney, vehicle,
- GSM9754630 Kidney, vehicle, 2 Kidney, vehicle,
- GSM9754631 Kidney, vehicle, 3 Kidney, vehicle,
- GSM9754632 Kidney, vehicle, 4 Kidney, vehicle,
- GSM9754633 Kidney, vehicle, 5 Kidney, vehicle,
- GSM9754634 Kidney, QA, 1
- GSM9754635 kidney, QA, 2 kidney, QA,
- GSM9754636 kidney, QA, 3 kidney, QA,
- GSM9754637 kidney, QA, 4 kidney, QA,
- GSM9754638 kidney, QA, 5 kidney, QA,
- GSE281245 Single-cell RNA sequencing identifies a unique population of macrophages in the Aristolochic acid I (AAI)-induced AKI-to-CKD transition murine model 5 samples shares aki, ckd, transition, acid
- GSE286531 TJ0113 alleviates ferroptosis by improving mitochondria of renal tubules in the transition from AKI to CKD 9 samples shares aki, ckd, transition
- GSE268009 Strategic timing of contralateral nephrectomy after ischemic AKI prevents CKD by enhancing epithelial progenitor proliferation while attenuating polyploidization 41 samples shares aki, ckd
- GSE239287 Single-cell transcriptome sequencing of macrophages in acute kidney injury(AKI) to chronic kidney dieases(CKD) 17 samples shares aki, ckd
- GSE329941 Single-cell transcriptomics identifies ergothioneine as a mitochondrial protector to prevent AKI-to-CKD progression 9 samples shares aki, ckd
- GSE266396 Cx43-mediated mitochondrial transfer from MSCs mitigate oxidative stress-inflammation interplay in IRI-AKI via PGC1a activation 40 samples shares aki, mitigate
- GSE264035 Pcbp1 is crucial for Naïve-to-Primed pluripotency transition due to regulation of amino acid metabolism [RNA-seq] 12 samples shares transition, acid
- GSE310244 Dynamic Resilience: Stress Phenotypes and Their Impact on Opioid-Taking Behavior, Brain Activity, and Gene Expression 68 samples shares aki
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.