Single-cell RNAseq analysis of renal endothelial cells in murine diabetic nephropathy
Single-cell RNA-seq · mouse · 5464 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 5464 samples: 5464 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
- Renal Endothelial Single-Cell Transcriptomics Reveals Spatiotemporal Regulation and Divergent Roles of Differential Gene Transcription and Alternative Splicing in Murine Diabetic NephropathyInternational journal of molecular sciences · 2024
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 GSE192687_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA792610 and SRA study SRP352612. 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 the first 400 of 5464 sample titles: 400 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.
- GSM5755703 kidney cell 1, Lean, 20 weeks
- GSM5755704 kidney cell 2, Lean, 20 weeks
- GSM5755705 kidney cell 3, Lean, 20 weeks
- GSM5755706 kidney cell 4, Lean, 20 weeks
- GSM5755707 kidney cell 5, Lean, 20 weeks
- GSM5755708 kidney cell 6, Lean, 20 weeks
- GSM5755709 kidney cell 7, Lean, 20 weeks
- GSM5755710 kidney cell 8, Lean, 20 weeks
- GSM5755711 kidney cell 9, Lean, 20 weeks
- GSM5755712 kidney cell 10, Lean, 20 weeks
- GSM5755713 kidney cell 11, Lean, 20 weeks
- GSM5755714 kidney cell 12, Lean, 20 weeks
- GSM5755715 kidney cell 13, Lean, 20 weeks
- GSM5755716 kidney cell 14, Lean, 20 weeks
- GSM5755717 kidney cell 15, Lean, 20 weeks
- GSM5755718 kidney cell 16, Lean, 20 weeks
- GSM5755719 kidney cell 17, Lean, 20 weeks
- GSM5755720 kidney cell 18, Lean, 20 weeks
- GSM5755721 kidney cell 19, Lean, 20 weeks
- GSM5755722 kidney cell 20, Lean, 20 weeks
- GSM5755723 kidney cell 21, Lean, 20 weeks
- GSM5755724 kidney cell 22, Lean, 20 weeks
- GSM5755725 kidney cell 23, Lean, 20 weeks
- GSM5755726 kidney cell 24, Lean, 20 weeks
- GSM5755727 kidney cell 25, Lean, 20 weeks
- GSM5755728 kidney cell 26, Lean, 20 weeks
- GSM5755729 kidney cell 27, Lean, 20 weeks
- GSM5755730 kidney cell 28, Lean, 20 weeks
- GSM5755731 kidney cell 29, Lean, 20 weeks
- GSM5755732 kidney cell 30, Lean, 20 weeks
- GSM5755733 kidney cell 31, Lean, 20 weeks
- GSM5755734 kidney cell 32, Lean, 20 weeks
- GSM5755735 kidney cell 33, Lean, 20 weeks
- GSM5755736 kidney cell 34, Lean, 20 weeks
- GSM5755737 kidney cell 35, Lean, 20 weeks
- GSM5755738 kidney cell 36, Lean, 20 weeks
- GSM5755739 kidney cell 37, Lean, 20 weeks
- GSM5755740 kidney cell 38, Lean, 20 weeks
- GSM5755741 kidney cell 39, Lean, 20 weeks
- GSM5755742 kidney cell 40, Lean, 20 weeks
+ 5424 more — browse all 5464 samples with per-sample file links →
- GSE274819 Single-cell RNA sequencing of murine kidneys for ischemia-reperfusion induced renal injury and fibrosis 10 samples shares single-cell, renal
- GSE313176 Müller cell glutamine metabolism links photoreceptor and endothelial injury in diabetic retinopathy 35 samples shares endothelial, diabetic
- GSE249931 Temporal single-cell profiling of distinct mesenchymal, epithelial, endothelial, and immune cell lineages in the lung after injury 17 samples shares single-cell, endothelial
- GSE315612 Yiqi Huoxue Yangyin Decoction alleviates diabetic nephropathy by attenuating podocyte injury via the METTL3-m6A-mTOR pathway to activate autophagy 12 samples shares nephropathy, diabetic
- GSE317491 Kidney Transcriptome Sequencing of Mice with Diabetic Nephropathy 6 samples shares nephropathy, diabetic
- GSE314943 Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis 18 samples shares single-cell, endothelial
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares single-cell
- GSE239602 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 82 samples shares single-cell
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.