Atheroprotective immunity and interleukin-10 linked to reduced plaque stability and recurrent cardiovascular events
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: 4 × HuBL live vs 4 × BT3xHuBL live vs 3 × HuBL aorta vs 3 × BT3xHuBL aortaGroups 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
- Atheroprotective Immunity and Interleukin-10 Linked to Reduced Characteristics of Plaque StabilityJACC. Basic to translational science · 2025
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 GSE283077_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 PRJNA1191829 and SRA study SRP548208. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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.
- GSM8655533 HuBL aorta 1 HuBL aorta
- GSM8655534 BT3xHuBL aorta 1 BT3xHuBL aorta
- GSM8655535 BT3xHuBL aorta 2 BT3xHuBL aorta
- GSM8655536 BT3xHuBL aorta 3 BT3xHuBL aorta
- GSM8655537 HuBL aorta 2 HuBL aorta
- GSM8655538 HuBL aorta 3 HuBL aorta
- GSM8655539 HuBL liver 1 HuBL live
- GSM8655540 HuBL liver 2 HuBL live
- GSM8655541 HuBL liver 3 HuBL live
- GSM8655542 HuBL liver 4 HuBL live
- GSM8655543 BT3xHuBL liver 1 BT3xHuBL live
- GSM8655544 BT3xHuBL liver 2 BT3xHuBL live
- GSM8655545 BT3xHuBL liver 3 BT3xHuBL live
- GSM8655546 BT3xHuBL liver 4 BT3xHuBL live
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- GSE263141 Chloride Nucleotide-Sensitive Channel 1A (CLNS1A) Regulates Genome Stability and Cell Cycle Progression to Control Pathogenic T Helper 17 Cell Function and Autoimmunity [RNA-seq] 18 samples shares stability, immunity
- GSE252269 Targeting the FOXP3–T-bet interaction to restore Treg stability in IFN-γ–driven autoimmunity [CUT&Tag/ATAC-seq] 18 samples shares stability, immunity
- GSE282841 N6-methyladenosine modulate second cell fate decision by enhancing mRNA stability of pivotal transcription factors during primitive endoderm development 160 samples shares stability
- GSE288185 TDP-43 directly inhibits RNA accumulation in neurites through modulation of RNA stability 86 samples shares stability
- GSE285141 Histone H3.3 ensures cell proliferation and genomic stability during myeloid cell development [RNA-seq] 81 samples shares stability
- GSE282840 N6-methyladenosine modulate second cell fate decision by enhancing mRNA stability of pivotal transcription factors during primitive endoderm development [EPSC_RNA-seq] 46 samples shares stability
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.