Loss of EGFR prevents the synergistic early-phase impact of obesity-associated metabolic and humoral stress on primary VSMC – stressor synergy, sex-dependence
RNA-seq (gene expression) · mouse · 69 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
- 69 samples: 12 conditions, mostly with about 4 replicates eachGroups 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
- Early-phase impact of obesity-associated stress on murine vascular smooth muscle cells depends on EGFR and sexCommunications biology · 2025
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 GSE294868_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 PRJNA1251881 and SRA study SRP579351. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 69 samples.
How we read this: 12 replicated groups read from 69 sample titles; they account for 69 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.
- GSM8927405 VSMC_WT_Control_G1 VSMC_WT_Control_G
- GSM8927406 VSMC_WT_HG+FFS_G1 VSMC_WT_HG+FFS_G
- GSM8927407 VSMC_WT_AII+NA_G1 VSMC_WT_AII+NA_G
- GSM8927408 VSMC_WT_ALL_G1 VSMC_WT_ALL_G
- GSM8927409 VSMC_WT_Control_G2 VSMC_WT_Control_G
- GSM8927410 VSMC_WT_HG+FFS_G2 VSMC_WT_HG+FFS_G
- GSM8927411 VSMC_WT_AII+NA_G2 VSMC_WT_AII+NA_G
- GSM8927412 VSMC_WT_ALL_G2 VSMC_WT_ALL_G
- GSM8927413 VSMC_WT_Control_G3 VSMC_WT_Control_G
- GSM8927414 VSMC_WT_HG+FFS_G3 VSMC_WT_HG+FFS_G
- GSM8927415 VSMC_WT_AII+NA_G3 VSMC_WT_AII+NA_G
- GSM8927416 VSMC_WT_ALL_G3 VSMC_WT_ALL_G
- GSM8927417 VSMC_WT_Control_G4 VSMC_WT_Control_G
- GSM8927418 VSMC_WT_HG+FFS_G4 VSMC_WT_HG+FFS_G
- GSM8927419 VSMC_WT_AII+NA_G4 VSMC_WT_AII+NA_G
- GSM8927420 VSMC_WT_ALL_G4 VSMC_WT_ALL_G
- GSM8927421 VSMC_KOsmc_Control_G5 VSMC_KOsmc_Control_G
- GSM8927422 VSMC_KOsmc_HG+FFS_G5 VSMC_KOsmc_HG+FFS_G
- GSM8927423 VSMC_KOsmc_AII+NA_G5 VSMC_KOsmc_AII+NA_G
- GSM8927424 VSMC_KOsmc_Control_G6 VSMC_KOsmc_Control_G
- GSM8927425 VSMC_KOsmc_HG+FFS_G6 VSMC_KOsmc_HG+FFS_G
- GSM8927426 VSMC_KOsmc_AII+NA_G6 VSMC_KOsmc_AII+NA_G
- GSM8927427 VSMC_KOsmc_ALL_G6 VSMC_KOsmc_ALL_G
- GSM8927428 VSMC_KOsmc_Control_G7 VSMC_KOsmc_Control_G
- GSM8927429 VSMC_KOsmc_HG+FFS_G7 VSMC_KOsmc_HG+FFS_G
- GSM8927430 VSMC_KOsmc_AII+NA_G7 VSMC_KOsmc_AII+NA_G
- GSM8927431 VSMC_KOsmc_ALL_G7 VSMC_KOsmc_ALL_G
- GSM8927432 VSMC_KOsmc_Control_G8 VSMC_KOsmc_Control_G
- GSM8927433 VSMC_KOsmc_HG+FFS_G8 VSMC_KOsmc_HG+FFS_G
- GSM8927434 VSMC_KOsmc_AII+NA_G8 VSMC_KOsmc_AII+NA_G
- GSM8927435 VSMC_KOsmc_ALL_G8 VSMC_KOsmc_ALL_G
- GSM8927436 EC_WT_Control_G9 EC_WT_Control_G
- GSM8927437 EC_WT_HG+FFS_G9 EC_WT_HG+FFS_G
- GSM8927438 EC_WT_AII+NA_G9 EC_WT_AII+NA_G
- GSM8927439 EC_WT_ALL_G9 EC_WT_ALL_G
- GSM8927440 EC_WT_HG+FFS_G10 EC_WT_HG+FFS_G
- GSM8927441 EC_WT_AII+NA_G10 EC_WT_AII+NA_G
- GSM8927442 EC_WT_ALL_G10 EC_WT_ALL_G
- GSM8927443 EC_WT_Control_G11 EC_WT_Control_G
- GSM8927444 EC_WT_HG+FFS_G11 EC_WT_HG+FFS_G
+ 29 more — browse all 69 samples with per-sample file links →
- GSE298555 Linear ubiquitination prevents lipodystrophy and obesity-associated metabolic syndrome 19 samples shares obesity-associated, prevents
- GSE293034 Linear ubiquitination prevents lipodystrophy and obesity-associated metabolic syndrome 12 samples shares obesity-associated, prevents
- GSE296151 Identifying and Exploiting Combinatorial Synthetic Lethality by Characterizing Adaptive Kinome Rewiring of EGFRvIII-driven Glioblastoma 80 samples shares egfr
- GSE201969 In vivo self-assembly and targeted delivery of EGFR siRNA-encapsulating small extracellular vesicles to EGFR-positive cancer cells for NSCLC therapy 72 samples shares egfr
- GSE309118 Hepatocyte-specific epidermal growth factor receptor (EGFR) deletion attenuates acetaminophen-induced liver injury in mice 42 samples shares egfr
- GSE294678 Dietary restriction mitigates vascular aging, modulates the cGAS-STING pathway and reverses macrophage-like VSMC phenotypes in progeroid DNA-repair-deficient Ercc1Δ/- mice 29 samples shares vsmc
- GSE309115 Hepatocyte-specific epidermal growth factor receptor (EGFR) deletion attenuates acetaminophen-induced liver injury in mice [RNA-seq AVITI] 24 samples shares egfr
- GSE276417 Data Mining of IFNgamma-induced macrophage and Atherosclerotic Plaque Transcriptomes predicts a macrophage-specific role of STAT1 in human atherosclerosis [VSMC] 18 samples shares vsmc
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.