ArticleFrontiers in immunology2026
Integrative single-cell and bulk transcriptomic analyses identify a microglia-associated NAGLU signature linked to disulfidptosis-associated transcriptional patterns after spinal cord injury.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Spinal cord injury (SCI) induces profound neuroinflammatory responses and extensive cellular remodeling within the injured spinal cord. Disulfidptosis, a recently identified form of regulated cell death associated with disulfide stress, has been implicated in cellular stress responses and tissue injury. However, the transcriptional characteristics of disulfidptosis-related genes (DRGs) and their associations with the cellular microenvironment of SCI remain poorly understood. Methods: Single-cell RNA sequencing data from GSE162610 were analyzed to characterize cellular heterogeneity in DRG-associated transcriptional signatures. AUCell was used to calculate DRG signature scores at the single-cell level, and differentially expressed genes associated with DRG signatures were identified by comparing cells with high and low DRG signature scores. Bulk transcriptomic data from GSE47681 were analyzed using differential expression analysis and weighted gene co-expression network analysis (WGCNA) to identify SCI-associated differentially expressed genes and gene modules correlated with DRG signature scores. Candidate genes were identified by integrating single-cell marker genes, bulk differentially expressed genes, and genes from DRG signature-associated WGCNA modules. A random forest algorithm was applied to prioritize key candidate genes, followed by validation in the independent dataset GSE45006. The expression pattern of the selected candidate gene was further examined at single-cell resolution and validated at the protein level in a rat SCI model 3 days after injury. Results: DRG signature scores exhibited marked heterogeneity across spinal cord cell types. Integrative analyses identified 24 candidate genes associated with DRG-related transcriptional alterations. Functional enrichment analyses highlighted lysosome-related pathways, efferocytosis, macrophage activation, and glycosaminoglycan degradation. Random forest analysis prioritized three genes for external validation, among which Conclusions: This study characterizes DRG-associated transcriptional heterogeneity in SCI and identifies
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.