ReviewExperimental & molecular medicine2018
Single-cell RNA sequencing technologies and bioinformatics pipelines.
Review in Experimental & molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 907 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
907 citing papers in PubMed.
- Advances in Single-Cell and Spatial Omics for Glioblastoma Precision Medicine.Current oncology reports · 2026Review
- Mitochondrial transcript abundance in breast cancer circulating tumour cells may reflect both blood-derived transcripts and biological heterogeneity.Clinical & experimental metastasis · 2026Article
- RAGCell: retrieval-augmented generation as supervision for versatile single-cell analysis.Bioinformatics (Oxford, England) · 2026Article
- A graph-attentive GAN for rare-cell-aware single-cell RNA-seq data generation.PLoS computational biology · 2026Article
- Single-cell multi-omic profiling of heterogeneous PROCRiScience · 2026Article
- A statistical framework for disease classification with scRNA-Seq Data.bioRxiv : the preprint server for biology · 2026Article
- Machine learning and multi-omics clustering to map cellular rewiring and immune evasion in ccRCC.Human genomics · 2026Article
- Dysregulated IL-2 signaling and T-cell subset shifts are associated with eosinophilic esophagitis activity.Biochemistry and biophysics reports · 2026Article
- Plant Spatio-Temporal Integration Network (PSTN): a framework for dynamic single-cell and spatial transcriptomics in fungal-plant interactions.Bioinformatics (Oxford, England) · 2026Article
- scENature communications · 2026Article
- ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learning.PLoS computational biology · 2026Article
- RNA Sequencing Technologies in Acute Lymphoblastic Leukemia: A Comparative Technical Review.Current issues in molecular biology · 2026Review
- Multi-Omics Profiling Reveals Neutrophil Extracellular Trap Dysregulation in Diabetic Foot Ulcer Healing Impairment.International journal of molecular sciences · 2026Article
- Integrative spatial multi-omics reveals the tumor ecosystem: From mechanistic insights to therapeutic strategies.iScience · 2026Review
- Integrative Single-Cell and Bulk Transcriptomic Analyses with Spatial Validation Identify a Residual Fatty Acid-EMT Subset Driving Chemotherapy Resistance in Triple-Negative Breast Cancer via MIF- and MK-Mediated Ligand-Receptor Signaling.International journal of molecular sciences · 2026Article
- Reprogramming in delipidated adipocytes: metabolism, regulation and progress.Cell death discovery · 2026Review
- Integrating Multi-View Features via Deep Generalized Canonical Correlation Analysis for Single-Cell Clustering.International journal of molecular sciences · 2026Article
- Historical Perspectives, Classification and Diagnostic Approaches of Inborn Errors of Metabolism: A Systematic Review and Meta-Analysis.Metabolites · 2026Review
- Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.Journal of ovarian research · 2026Review
- [Analyzing research advances in single-cell sequencing technology for immunopathological mechanisms in acute-on-chronic liver failure].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026Review
847 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid progress in the development of next-generation sequencing (NGS) technologies in recent years has provided many valuable insights into complex biological systems, ranging from cancer genomics to diverse microbial communities. NGS-based technologies for genomics, transcriptomics, and epigenomics are now increasingly focused on the characterization of individual cells. These single-cell analyses will allow researchers to uncover new and potentially unexpected biological discoveries relative to traditional profiling methods that assess bulk populations. Single-cell RNA sequencing (scRNA-seq), for example, can reveal complex and rare cell populations, uncover regulatory relationships between genes, and track the trajectories of distinct cell lineages in development. In this review, we will focus on technical challenges in single-cell isolation and library preparation and on computational analysis pipelines available for analyzing scRNA-seq data. Further technical improvements at the level of molecular and cell biology and in available bioinformatics tools will greatly facilitate both the basic science and medical applications of these sequencing technologies.
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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.