ArticleFrontiers in genetics2019
Single-Cell RNA Sequencing-Based Computational Analysis to Describe Disease Heterogeneity.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Tissue-specific aging-a new paradigm based on transcriptional insights from select model systems and humans.Frontiers in genetics · 2026Review
- Hi-C3: a statistical inference-based model for reconstructing higher-order cell-cell communication networks.Briefings in bioinformatics · 2025Article
- Integrating multi-omics data of childhood asthma using a deep association model.Fundamental research · 2024Article
- Integrating temporal single-cell gene expression modalities for trajectory inference and disease prediction.Genome biology · 2022Article
- Noninvasive detection and interpretation of gastrointestinal diseases by collaborative serum metabolite and magnetically controlled capsule endoscopy.Computational and structural biotechnology journal · 2022Article
- Single-Cell Sequencing: Biological Insight and Potential Clinical Implications in Pediatric Leukemia.Cancers · 2021Review
- Advances in single-cell sequencing: insights from organ transplantation.Military Medical Research · 2021Review
- Reconstructing gene regulatory networks in single-cell transcriptomic data analysis.Zoological research · 2020Review
- Understanding human gut diseases at single-cell resolution.Human molecular genetics · 2020Review
- Comparison of Scanpy-based algorithms to remove the batch effect from single-cell RNA-seq data.Cell regeneration (London, England) · 2020Article
- Temporal Dynamics and Heterogeneity of Cell Populations during Skeletal Muscle Regeneration.iScience · 2020Article
- Rainbow Kaposi's Sarcoma-Associated Herpesvirus Revealed Heterogenic Replication with Dynamic Gene Expression.Journal of virology · 2020Article
- Clinical implications of intratumor heterogeneity: challenges and opportunities.Journal of molecular medicine (Berlin, Germany) · 2020Review
- The Application of Single-Cell RNA Sequencing in Vaccinology.Journal of immunology research · 2020Review
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2 authors.
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Abstract
The trillions of cells in the human body can be viewed as elementary but essential biological units that achieve different body states, but the low resolution of previous cell isolation and measurement approaches limits our understanding of the cell-specific molecular profiles. The recent establishment and rapid growth of single-cell sequencing technology has facilitated the identification of molecular profiles of heterogeneous cells, especially on the transcription level of single cells [single-cell RNA sequencing (scRNA-seq)]. As a novel method, the robustness of scRNA-seq under changing conditions will determine its practical potential in major research programs and clinical applications. In this review, we first briefly presented the scRNA-seq-related methods from the point of view of experiments and computation. Then, we compared several state-of-the-art scRNA-seq analysis frameworks mainly by analyzing their performance robustness on independent scRNA-seq datasets for the same complex disease. Finally, we elaborated on our hypothesis on consensus scRNA-seq analysis and summarized the potential indicative and predictive roles of individual cells in understanding disease heterogeneity by single-cell technologies.
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