ReviewNature methods2011
Development and applications of single-cell transcriptome analysis.
Review in Nature methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
179 citing papers in PubMed.
- Annotation-free phenotype prediction using knowledge-augmented clustering from single-cell RNA sequencing data.Briefings in bioinformatics · 2026Article
- Transcriptomic Meta-Analysis as a Framework for Robust Cross-Study Biological Inference.International journal of molecular sciences · 2026Review
- Single-Cell Transcriptome and Microbiome Profiling Uncover Ileal Immune Impairment in Intrauterine Growth-Retarded Piglets.Current pharmaceutical design · 2026Article
- Single-Cell Sequencing Data Revealed Mechanisms of Interactions Between Tumor Cells and Cancer-Associated Fibroblasts in Metastatic Colorectal Cancer.BioMed research international · 2026Article
- Single-cell transcriptomic profiling of human fetal neural stem cells isolated from the subventricular zone.Frontiers in cell and developmental biology · 2026Article
- Methodologies for Sample Multiplexing and Computational Deconvolution in Single-Cell Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Quantifying Landscape and Flux from Single-Cell Omics: Unraveling the Physical Mechanisms of Cell Function.JACS Au · 2025Review
- Absolute quantification of mammalian microRNAs for therapeutic RNA cleavage and detargeting.RNA (New York, N.Y.) · 2025Article
- Long-Term Protection in Atlantic Salmon (Vaccines · 2025Article
- Single-Cell RNA-Sequencing Analysis Provides Insights into IgA Nephropathy.Biomolecules · 2025Review
- Single-cell transcriptomes reveal spatiotemporal heat stress response in maize roots.Nature communications · 2025Article
- Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025Review
- Multi-omics and machine learning identify novel biomarkers and therapeutic targets of COVID-19.Frontiers in immunology · 2025Article
- Circular RNAs as a novel class of potential therapeutic and diagnostic biomarkers in reproductive biology/diseases.European journal of medical research · 2024Review
- Advancements in the Application of scRNA-Seq in Breast Research: A Review.International journal of molecular sciences · 2024Review
- RAG-seq: NSR-primed and Transposase Tagmentation-mediated Strand-specific Total RNA Sequencing in Single Cells.Genomics, proteomics & bioinformatics · 2024Article
- scIALM: A method for sparse scRNA-seq expression matrix imputation using the Inexact Augmented Lagrange Multiplier with low error.Computational and structural biotechnology journal · 2024Article
- Beyond the Heartbeat: Single-Cell Omics Redefining Cardiovascular Research.Current cardiology reports · 2024Review
- ProBac-seq, a bacterial single-cell RNA sequencing methodology using droplet microfluidics and large oligonucleotide probe sets.Nature protocols · 2024Review
- Uncovering underlying physical principles and driving forces of cell differentiation and reprogramming from single-cell transcriptomics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
119 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
Dissecting the relationship between genotype and phenotype is one of the central goals in developmental biology and medicine. Transcriptome analysis is a powerful strategy to connect genotype to phenotype of a cell. Here we review the history, progress, potential applications and future developments of single-cell transcriptome analysis. In combination with live cell imaging and lineage tracing, it will be possible to decipher the full gene expression network underlying physiological functions of individual cells in embryos and adults, and to study diseases.
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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.