ArticleTheranostics2024
Spatial transcriptomic sequencing reveals immune microenvironment features of
Article in Theranostics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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Who cites it
17 citing papers in PubMed.
- Endodermal Organoids Along Two Axes: Single-Organ Fidelity, Inter-Organ Reconstruction, and the Unbuilt Gut-Lung Frontier.Stem cell reviews and reports · 2026Review
- Advancing the Deciphering of Host-Microbe Crosstalk with Spatial Omics: A Mini-Review.Current microbiology · 2026Review
- γδ T Cells at the Crossroads of Tuberculosis and COPD: From Early Immunity to Tissue Remodeling.International journal of molecular sciences · 2026Review
- NR4A1 limits CD8⁺ T Cell effector responses and protection in tuberculosis.bioRxiv : the preprint server for biology · 2026Article
- NR4A1 limits CD8Research square · 2026Article
- Macrophage states and polarization duringFrontiers in cellular and infection microbiology · 2026Review
- Spatial mapping of Ethiopian cutaneous leishmaniasis lesions reveals distinct tissue level immune programs.Frontiers in immunology · 2026Article
- Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026Review
- Article
- Spatial transcriptomic analysis of HIV and tuberculosis coinfection in a humanized mouse model reveals unique transcription patterns, immune responses and early morphological alterations.bioRxiv : the preprint server for biology · 2025Article
- Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models.Scientific reports · 2025Article
- Applications of Spatial Transcriptomics in Veterinary Medicine: A Scoping Review of Research, Diagnostics, and Treatment Strategies.International journal of molecular sciences · 2025Article
- Spatial Transcriptomics in Lung Cancer and Pulmonary Diseases: A Comprehensive Review.Cancers · 2025Review
- Single-cell transcriptomic profiling reveals a novel signature of necrotizing granulomatous lesions in the lungs ofFrontiers in immunology · 2025Article
- Granulomatous cellular signatures in nontuberculous and tuberculous mycobacterial infections.Frontiers in microbiology · 2025Article
- Microenvironments of tuberculous granuloma: advances and opportunities for therapy.Frontiers in immunology · 2025Review
- Progress of single-cell sequencing technology in immunotherapy for tuberculosis.Frontiers in cellular and infection microbiology · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Granulomas are a key pathological feature of tuberculosis (TB), characterized by cell heterogeneity, spatial composition, and cellular interactions, which play crucial roles in granuloma progression and host prognosis. This study aims to analyze the transcriptome profiles of cell populations based on their spatial location and to understand the core transcriptome characteristics of granuloma formation and development.
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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.