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Whole-course Taming of Tumor-associated Macrophages from Central to Peripheral using Engineered Outer Membrane Vesicle Nanohybrids for Improved Immunotherapy [part 2: ATAC-seq]

GSE212260 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2025/08/01 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 18 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
18 samples: 6 conditions, mostly in triplicateGroups 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.
Summary (written by the submitters)
Only regulation of tumor-associated macrophages (TAMs) in tumor microenvironment (TME) is always insufficient to achieve satisfactory clinical outcome, and training of central progenitor cells of TAMs in bone marrow is a potential approach. To achieve the whole-course taming of TAMs from central to peripheral, we developed nanohybrids containing bacterial outer membrane vesicle (OMV), GM-CSF and SIRPα-Fc fusion protein, which were coated with calcium phosphate (CaP) shell.
Read the full summary ↓
The surface CaP coating endowed nanohybrids with safe circulation, allowing them to reach both bone marrow and TME. In bone marrow, OMV and GM-CSF together induced trained immunity of central progenitor cells, indicating by transcriptional alterations and epigenetic remodeling, which was inherited to peripheral TAMs. In peripheral TME, OMV and SIRPα-Fc triggered M1-like TAM phagocytosis with subsequent CD8+ T cell activation.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE212260_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA869176 and SRA study SRP394448. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
ATAC_GMPs_PBS ×3 ATAC_GMPs_OMV-SIRP ×3 ATAC_GMPs_OMV-SIRP-G ×3 ATAC_Monos_PBS ×3 ATAC_Monos_OMV-SIRP ×3 ATAC_Monos_OMV-SIRP-G ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.

Samples in this study
Datasets on a similar topic

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