Nature Communications · 2022 · 403 citations · 70 references
Life SciencesBiomedical SciencesCell BiologyInflammationTranscriptomicsWound HealingCell-type-specific TranscriptomicsDiabetic Foot UlcerationSingle-cell Rna Sequencing AnalysisSingle-cell TranscriptomicsSpatial Single-cell AnalysisSpatial TranscriptomicsDiabetic Wound HealingDiabetic Wound RepairM1 Macrophage PhenotypesMacrophage PolarizationMacrophage Polarization In WoundsSingle-cell Profiling Of MacrophagesSingle-cell Rna SequencingSingle-cell Spatial Profiling
Diabetic foot ulceration is a severe diabetes complication with poorly understood pathogenesis. The study profiled 174,962 single cells from foot, forearm, and peripheral blood using single‑cell RNA sequencing. In healing DFU patients, a distinct fibroblast subset overexpressing MMP1/3/11, HIF1A, CHI3L1, and TNFAIP6 and a higher M1 macrophage presence were identified, with spatial transcriptomics showing these fibroblasts concentrated in the wound bed and M1 macrophages enriched in healers versus M2 macrophages in non‑healers, highlighting cell types that may drive healing and inform new therapies.
Abstract Diabetic foot ulceration (DFU) is a devastating complication of diabetes whose pathogenesis remains incompletely understood. Here, we profile 174,962 single cells from the foot, forearm, and peripheral blood mononuclear cells using single-cell RNA sequencing. Our analysis shows enrichment of a unique population of fibroblasts overexpressing MMP1, MMP3, MMP11, HIF1A, CHI3L1 , and TNFAIP6 and increased M1 macrophage polarization in the DFU patients with healing wounds. Further, analysis of spatially separated samples from the same patient and spatial transcriptomics reveal preferential localization of these healing associated fibroblasts toward the wound bed as compared to the wound edge or unwounded skin. Spatial transcriptomics also validates our findings of higher abundance of M1 macrophages in healers and M2 macrophages in non-healers. Our analysis provides deep insights into the wound healing microenvironment, identifying cell types that could be critical in promoting DFU healing, and may inform novel therapeutic approaches for DFU treatment.
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Fast gapped-read alignment with Bowtie 2
Ben Langmead, Steven L. Salzberg · Nature Methods · 2012 · 61.1K citations
FLASH: fast length adjustment of short reads to improve genome assemblies
Tanja Magoč, Steven L. Salzberg · Bioinformatics · 2011 · 15.7K citations · Full text