ReviewNature reviews. Drug discovery2016
Single-cell analysis tools for drug discovery and development.
Review in Nature reviews. Drug discovery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04927611 (Single-cell Sequencing and Establishment of Cell Lines, Organoids, and Transplanted Tumor Models in Neuroendocrine Neoplasm), which is not on this map. Cited by 222 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 and Establishment of Cell Lines, Organoids, and Transplanted Tumor Models in Neuroendocrine Neoplasm
Who cites it
222 citing papers in PubMed.
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- Mechanisms underlying end-organ injury in sleep apnoea.The European respiratory journal · 2026Review
- CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Three-dimensional forward-scattering imaging flow cytometry system for single-cell analysis.APL photonics · 2025Article
- Monitoring Molecular Uptake and Cancer Cells' Response by Development of Quantitative Drug Derivative Probes for Chemical Imaging.Analytical chemistry · 2025Article
- Direct Nanoparticle Sensing in Liquids with Free-Space Excited Optical Whispering-Gallery-Mode Microresonators.Sensors (Basel, Switzerland) · 2025Article
- Application of single-cell and spatial omics in deciphering cellular hallmarks of cancer drug response and resistance.Journal of hematology & oncology · 2025Review
- Benchmarking methods integrating GWAS and single-cell transcriptomic data for mapping trait-cell type associations.medRxiv : the preprint server for health sciences · 2025Article
- Exosomal miRNA-based theranostics in cervical cancer: bridging diagnostics and therapy.Medical oncology (Northwood, London, England) · 2025Review
- Highly Efficient Calibration-Free Color Compensation Algorithm for Imaging Flow Cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2025Article
- Representation of high-dimensional cell morphology and morphodynamics in 2D latent space.Physical biology · 2025Article
- A new paradigm for drug discovery in the treatment of complex diseases: drug discovery and optimization.Chinese medicine · 2025Review
- Polymerase Chain Reaction Chips for Biomarker Discovery and Validation in Drug Development.Micromachines · 2025Review
- High resolution tissue and cell type identification via single cell transcriptomic profiling.PloS one · 2025Article
- Precision cardiovascular medicine: shifting the innovation paradigm.Frontiers in science · 2025Article
- Unravelling lipid heterogeneity: Advances in single-cell lipidomics in cellular metabolism and disease.BBA advances · 2025Review
- Quantitative peripheral live single T-cell dynamic polyfunctionality profiling predicts lung cancer checkpoint immunotherapy treatment response and clinical outcomes.Translational lung cancer research · 2024Article
- MetaPhenotype: A Transferable Meta-Learning Model for Single-Cell Mass Spectrometry-Based Cell Phenotype Prediction Using Limited Number of Cells.Analytical chemistry · 2024Article
- Mechanisms of Berberine in anti-pancreatic ductal adenocarcinoma revealed by integrated multi-omics profiling.Scientific reports · 2024Article
162 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
3 authors.
Funding
Abstract
The genetic, functional or compositional heterogeneity of healthy and diseased tissues presents major challenges in drug discovery and development. Such heterogeneity hinders the design of accurate disease models and can confound the interpretation of biomarker levels and of patient responses to specific therapies. The complex nature of virtually all tissues has motivated the development of tools for single-cell genomic, transcriptomic and multiplex proteomic analyses. Here, we review these tools and assess their advantages and limitations. Emerging applications of single cell analysis tools in drug discovery and development, particularly in the field of oncology, are discussed.
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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.