← BioTransfer GEO Dataset Finder
GEO series

Empowering macrophage to bridge innate and adaptive antitumor immunity through dual targeting of PCSK9 and innate immune checkpoint

GSE335282 Mus musculus Expression profiling by high throughput sequencing 5 samples Submitted 2026/06/17 Platform GPL24247
Summary
Macrophage-directed immunotherapy has emerged as a promising strategy to eliminate tumors by unleashing phagocytosis, exemplified by blockade of the CD47-SIRPα “don’t eat me” axis. However, despite robust enhancement of phagocytosis, such approaches often fail to generate durable antitumor immunity in solid tumors, highlighting a critical disconnect between innate immune activation and effective T cell responses. Here, we identify PCSK9 as an adaptive resistance factor induced by macrophage immune checkpoint blockade. Tumor-derived PCSK9 promotes lysosomal degradation of MHC-I in macrophages, thereby impairing antigen cross-presentation and limiting CD8⁺ T cell priming. This previously unrecognized mechanism reveals how phagocytosis-targeted therapies can paradoxically suppress adaptive immunity. To overcome this resistance, we engineered bispecific fusion proteins that concurrently target the CD47-SIRPα phagocytosis checkpoint and the PCSK9–MHC-I antigen presentation axis, among which SIRPαD1-αPCSK9 emerged as the optimal format. Dual targeting synergistically enhances macrophage phagocytosis, preserves antigen cross-presentation capacity, and reprograms the tumor microenvironment toward an immunostimulatory state. Consequently, SIRPαD1-αPCSK9 elicits robust activation of both innate and adaptive antitumor immunity, leading to potent tumor control with improved safety. These findings uncover a novel mechanism of resistance to macrophage-centered immunotherapy and establish a rational dual-targeting strategy that bridges phagocytosis and T cell activation, offering a new paradigm for macrophage-driven cancer immunotherapy.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE335282_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1477845 and SRA study SRP709120. 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.

+ 5 more — browse all 5 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.