ReviewNature reviews. Immunology2018
Single-cell RNA sequencing to explore immune cell heterogeneity.
Review in Nature reviews. Immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05455034 (Single-cell Sequencing of Bronchoalveolar Lavage Fluid to Guide the Treatment of Radiation Pneumonitis or Immune Checkpoint Inhibitor Pneumonitis), which is not on this map. Cited by 1,096 papers.
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.
Single-cell Sequencing of Bronchoalveolar Lavage Fluid to Guide the Treatment of Radiation Pneumonitis or Immune Checkpoint Inhibitor Pneumonitis
Who cites it
1,096 citing papers in PubMed.
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- Integrative single-cell and spatial transcriptomic approaches to decipher the tumor microenvironment and therapeutic resistance in pancreatic cancer.Cancer biology & therapy · 2026Review
- Monocyte Activation Drives Atrial Fibrillation in Hypertension.Cardiovascular drugs and therapy · 2026Article
- Decoding Skeletal Biology Through Transcriptomics: Insights from Bulk, Single-Cell, Spatial, and Multi-Omics Approaches.International journal of molecular sciences · 2026Review
- SERPINE1 promotes CRC cell invasion and metastasis through resistance to anoikis.Molecular and cellular biochemistry · 2026Article
- Integrative single-cell and machine learning analysis identifies a tumor doubling time-related prognostic signature and therapeutic targets in head and neck squamous cell carcinoma.Translational oncology · 2026Article
- Stepwise multi-scale reconstruction of cell spatial organization from single-cell RNA sequencing data with Cell2space.Briefings in bioinformatics · 2026Article
- Glutathione metabolism-linked ferroptosis in human seminoma: a spatial multi-omics mapping study.Redox biology · 2026Article
- α2,6-Sialoglycan-regulated antitumor immunity of tumor-infiltrating CD8Nature chemical biology · 2026Article
- Single-Cell Transcriptomic Analysis Reveals Ferroptosis-Related Signatures and Tumor Microenvironment Heterogeneity in Epithelial Ovarian Cancer.Cancer medicine · 2026Article
- YBX1-mediated m5C modification of exosomal LGALS3 derived from M2 tumor-associated macrophages drives colorectal cancer cell malignant behaviors.Molecular and cellular biochemistry · 2026Article
- Spatial Immune Coding in Tumor-Draining Lymph Nodes: Functional Compartmentalization of Immune Activation and Immunosuppression.International journal of molecular sciences · 2026Review
- Single-Cell RNA Sequencing Revealed the Role of Interferon-Gamma Related Genes in Primary Sjögren's Syndrome.Journal of cellular and molecular medicine · 2026Article
- TLS as Predictors and Targets in Neoadjuvant Chemoimmunotherapy for NSCLC.Thoracic cancer · 2026Review
- FOLR3+neutrophils contribute to sepsis by exacerbating hyper-inflammation.Genes and immunity · 2026Article
- Neutrophil-Mediated Inflammatory Response to Zinc Bone Implants: A Single-Cell Transcriptomic Landscape.Advanced healthcare materials · 2026Article
- Article
- Unraveling CD4Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Machine Learning of Personal Repertoires From Public T Cell Receptors.Immunological reviews · 2026Review
1,036 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in single-cell RNA sequencing (scRNA-seq) have allowed for comprehensive analysis of the immune system. In this Review, we briefly describe the available scRNA-seq technologies together with their corresponding strengths and weaknesses. We discuss in depth how scRNA-seq can be used to deconvolve immune system heterogeneity by identifying novel distinct immune cell subsets in health and disease, characterizing stochastic heterogeneity within a cell population and building developmental 'trajectories' for immune cells. Finally, we discuss future directions of the field and present integrated approaches to complement molecular information from a single cell with studies of the environment, epigenetic state and cell lineage.
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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.