ReviewAnnual review of genetics2018
Power in Numbers: Single-Cell RNA-Seq Strategies to Dissect Complex Tissues.
Review in Annual review of genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
73 citing papers in PubMed.
- Multi‑omics insights into uveitis: From mechanisms to precision medicine (Review).International journal of molecular medicine · 2026Review
- A transcriptomics-native foundation model for universal cell representation and virtual cell synthesis.bioRxiv : the preprint server for biology · 2026Article
- The splice of life: how alternative splicing shapes regulatory and phenotypic evolution.The EMBO journal · 2026Review
- transFusion: a novel comprehensive platform for integration analysis of single-cell and spatial transcriptomics.Bioinformatics (Oxford, England) · 2026Article
- Uncovering the role of integrated stress in Alzheimer's disease through single-cell and transcriptomic analysis.Scientific reports · 2026Article
- Integrated single cell transcriptomics analysis for unraveling heterogeneity and plasticity of root cells for sustainable and regenerative agriculture.Frontiers in plant science · 2026Review
- Host microenvironment in potato-Phytophthora infestans interaction revealed by single-cell spatiotemporal transcriptome.Nature plants · 2026Article
- FX-Cell: a method for single-cell RNA sequencing on difficult-to-digest and cryopreserved plant samples.Nature methods · 2025Article
- Deep tissue profiling of Populus stem at single nucleus level reveals uncharacterized cell types and cell-specific gene regulatory networks.Genome biology · 2025Article
- Single-cell RNA transcriptome analysis reveals regulatory programs of RNA binding proteins in diabetic foot ulcers.Scientific reports · 2025Article
- Single-cell and bulk transcriptome profiling reveals RNA-binding protein regulatory programs in cervical cancer.Scientific reports · 2025Article
- Exploring the untapped potential of single-cell and spatial omics in plant biology.The New phytologist · 2025Review
- Barcodes based on nucleic acid sequences: Applications and challenges (Review).Molecular medicine reports · 2025Review
- The dynamic and diverse nature of parenchyma cells in the Arabidopsis root during secondary growth.Nature plants · 2025Article
- Stepwise single-cell data identifies RNA binding proteins associated with the development of head and neck cancer and tumor microenvironment remodeling.Cancer biomarkers : section A of Disease markers · 2025Article
- Article
- An atlas of Brachypodium distachyon lateral root development.Biology open · 2024Article
- Optimal sequencing budget allocation for trajectory reconstruction of single cells.Bioinformatics (Oxford, England) · 2024Article
- Emerging applications of single-cell profiling in precision medicine of atherosclerosis.Journal of translational medicine · 2024Review
- Single-cell transcriptome revealed dysregulated RNA-binding protein expression patterns and functions in human ankylosing spondylitis.Frontiers in medicine · 2024Article
13 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
1 author.
Funding
Abstract
The growing scale and declining cost of single-cell RNA-sequencing (RNA-seq) now permit a repetition of cell sampling that increases the power to detect rare cell states, reconstruct developmental trajectories, and measure phenotype in new terms such as cellular variance. The characterization of anatomy and developmental dynamics has not had an equivalent breakthrough since groundbreaking advances in live fluorescent microscopy. The new resolution obtained by single-cell RNA-seq is a boon to genetics because the novel description of phenotype offers the opportunity to refine gene function and dissect pleiotropy. In addition, the recent pairing of high-throughput genetic perturbation with single-cell RNA-seq has made practical a scale of genetic screening not previously possible.
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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.