← BioTransfer GEO Dataset Finder
GEO series

Next Generation Sequencing Facilitates Quantitative Analysis of the murine macrophage cell line RAW264.7 Transcriptomes

GSE296880 Mus musculus Expression profiling by high throughput sequencing 9 samples Submitted 2025/07/16 Platform GPL24247
Summary
Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived RAW264.7 cell transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis
Published in
A programmable platelet theranostic platform for adaptive multi-stage delivery and synergistic immunotherapy in atherosclerosis
Li Y, Li X, Chen T et al. · Nature communications 2025 · PMID 40645963 · doi:10.1038/s41467-025-61789-9
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE296880_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1261877 and SRA study SRP584768. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 9 more — browse all 9 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.