NBL1 Associates with Renal Phenotypes in Mice, but Partial Nbl1 Reduction Does Not Ameliorate Kidney Disease: Male Nbl1 HET or WT Mice Treated with Cisplatin or PBS
RNA-seq (gene expression) · mouse · 31 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
- 31 samples: 31 samples, each with a distinct title — no replicated groupsGroups 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
- NBL1 associates with renal phenotypes in mice, but partial Nbl1 reduction does not ameliorate kidney diseaseAmerican journal of physiology. Renal physiology · 2026
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 GSE310628_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 PRJNA1366606 and SRA study SRP647070. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 31 sample titles: 31 distinct titles with little repetition. 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.
- GSM9304625 S_603_22, Nbl1, HET, Cisplatin
- GSM9304626 S_604_22, Nbl1, HET, Cisplatin
- GSM9304627 S_605_22, Nbl1, HET Cisplatin
- GSM9304628 S_607_22, Nbl1, HET, Cisplain
- GSM9304629 S_611_22, Nbl1, HET, Cisplatin
- GSM9304630 S_616_22, Nbl1, HET, Cisplatin
- GSM9304631 S_621_22, Nbl1, HET, Cisplatin
- GSM9304632 S_626_22, Nbl1, HET, Cisplatin
- GSM9304633 S_392_22, Nbl1, HET, PBS
- GSM9304634 S_405_22, Nbl1, HET, PBS
- GSM9304635 S_409_22, Nbl1, HET, PBS
- GSM9304636 S_610_22, Nbl1, HET, PBS
- GSM9304637 S_612_22, Nbl1, HET, PBS
- GSM9304638 S_615_22, Nbl1, HET, PBS
- GSM9304639 S_619_22, Nbl1, HET, PBS
- GSM9304640 S_2453_22, Nbl1, WT, Cisplatin
- GSM9304641 S_2457_22, Nbl1, WT, Cisplatin
- GSM9304642 S_601_22, Nbl1, WT, Cisplatin
- GSM9304643 S_606_22, Nbl1, WT, Cisplatin
- GSM9304644 S_608_22, Nbl1, WT, Cisplatin
- GSM9304645 S_618_22, Nbl1, WT, Cisplatin
- GSM9304646 S_624_22, Nbl1, WT, Cisplatin
- GSM9304647 S_625_22, Nbl1, WT, Cisplatin
- GSM9304648 S_2451_22, Nbl1, WT, PBS
- GSM9304649 S_2456_22, Nbl1, WT, PBS
- GSM9304650 S_3643_22, Nbl1, WT, PBS
- GSM9304652 S_400_22, Nbl1, WT, PBS
- GSM9304653 S_600_22, Nbl1, WT, PBS
- GSM9304654 S_602_22, Nbl1, WT, PBS
- GSM9304655 S_609_22, Nbl1, WT, PBS
- GSM9304657 S_629_22, Nbl1, WT, PBS
- GSE266874 Pan AMPK-activator O304 ameliorates oxidative stress in MASLD, reverses lipid zonation and reveal lobular metabolic heterogeneitites in the murine live 30 samples shares het, ameliorate
- GSE220691 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI. 22 samples shares het, cisplatin
- GSE179812 Macrophage Heterogeneity in Progression and Regression Phases of Cisplatin Induced AKI Mice Model - A single-cell RNA sequencing study 17 samples shares het, cisplatin
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares het, cisplatin
- GSE294832 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part10] 1000 samples shares het
- GSE294911 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part14] 1000 samples shares het
- GSE294535 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice[part5] 1000 samples shares het
- GSE294849 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part13] 1000 samples shares het
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.