Diabetic hyperglycemia-induced glycation regulates tumor vasculature integrity via NF-κB-mediated GM-CSF secretion by tumor cells
RNA-seq (gene expression) · mouse · 14 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
- 14 samples: 14 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.
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 GSE285474_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 PRJNA1203895 and SRA study SRP554201. 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 14 sample titles: 14 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.
- GSM8703019 Control-1a
- GSM8703020 Contol-1b
- GSM8703021 Control-2a
- GSM8703022 Control-2b
- GSM8703023 Control-3a
- GSM8703024 Control-3b
- GSM8703025 STZ-1a
- GSM8703026 STZ-1b
- GSM8703027 STZ-2a
- GSM8703028 STZ-2b
- GSM8703029 Alt-1a
- GSM8703030 Alt-1b
- GSM8703031 Alt-2a
- GSM8703032 Alt-2b
- GSE294832 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part10] 1000 samples shares nf
- GSE294911 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part14] 1000 samples shares nf
- GSE316925 Transcriptome changes in trigeminal ganglia in the mouse chronic constriction injury of the infraorbital nerve model - role of TRPM3. 136 samples shares nf
- GSE176506 Synergistic behavioral and neuroinflammatory effects of amyloid neuropathology and sepsis survival in a murine model of Alzheimer’s disease 112 samples shares nf
- GSE297515 Piezo1-dependent activation of stromal cells ignites muscle inflammation in exercise and injury and is associated with inflammaging 90 samples shares nf
- GSE319035 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [NAFLD_time_course] 77 samples shares nf
- GSE299114 Endothelial Cells retain inflammatory memory through chromatin remodeling [RNA-Seq 2] 53 samples shares nf
- GSE338894 An orally active, gut-enriched AhR agonist demonstrates therapeutic efficacy in colitis through regulation of inflammation, barrier homeostasis, and fibrosis 50 samples shares nf
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.