GEO series
Single-cell profiling reveals a critical role for hypoxia-inducible factor-1a signaling in leukocytes during human craniotomy infection
GSE249319
Homo sapiens
Expression profiling by high throughput sequencing
14 samples
2024/05/09
GPL24676
Summary
Neurosurgeries complicated by bacterial infection are often associated with poor clinical prognosis and prolonged treatment strategies involving multiple surgeries, placing additional morbidity on an already fragile patient population. Craniotomy is one of the most common neurosurgical procedures with an infection rate of 1-7%; however, the cellular and molecular signatures associated with craniotomy infection in human subjects have not yet been investigated. We performed a retrospective study of over 2,500 craniotomies, which revealed diversity in patient demographics, pathogen identity, and surgical landscapes associated with infection. Leukocyte profiling in tissues procured from craniotomy infection patients revealed a predominance of granulocytic myeloid-derived suppressor cells (G-MDSCs), which were absent from the blood. Single-cell transcriptomics identified immunometabolic shifts in leukocytes invading infected tissues, including a prominent hypoxia-inducible factor-1 (HIF-1) signature, whereas peripheral blood cells from the same patient were largely quiescent. The importance of HIF-1 signaling was validated using a mouse model of Staphylococcus aureus craniotomy infection, where the local delivery of HIF-1 inhibitor microparticles attenuated proinflammatory cytokine production concomitant with a significant increase in leukocyte infiltrates into the infected brain and galea. These findings establish G-MDSCs as a major infiltrate during human craniotomy infection and identify conserved transcriptional signatures across several leukocyte populations that may represent promising therapeutic targets for craniotomy infection in the face of increasing antimicrobial resistance.
Download
NCBI GEO page ↗
Paper (PMID 39420209) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples
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.