ReviewBiochemistry. Biokhimiia2023
Complex Analysis of Single-Cell RNA Sequencing Data.
Review in Biochemistry. Biokhimiia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed.
- Single-cell and spatial transcriptomic analysis reveal distinct tumor microenvironment signatures in primary and recurrent hypopharyngeal squamous cell carcinoma.Cellular & molecular biology letters · 2026Article
- scParadise: tunable, highly accurate multi-level cell type annotation, unknown cell type identification, and modality imputation.Nucleic acids research · 2026Article
- Integrating single-cell RNA and bulk RNA sequencing data to identify prognostic genes associated with pyrimidine metabolism in triple-negative breast cancer by machine learning algorithm combinations.Discover oncology · 2026Article
- Evaluating imputation methods for accurate estimation of cell population fractions in single-cell RNA sequencing.NAR genomics and bioinformatics · 2026Article
- Bioinks in systems biology: integrating biomaterial design with cellular network modelling for predictive biofabrication.Frontiers in bioengineering and biotechnology · 2026Review
- Review
- Biomaterial-mediated Cell Atlas: an insight from single-cell and spatial transcriptomics.Bioactive materials · 2025Review
- Single-cell profiling reveals immunoregulation of artemisinin on CD8Innovation (Cambridge (Mass.)) · 2025Article
- Structural Complexity as a Directional Signature of System Evolution: Beyond Entropy.Entropy (Basel, Switzerland) · 2025Article
- Embryoid bodies as a model system for exploring early human embryonic development.Journal of assisted reproduction and genetics · 2025Review
- Barcodes based on nucleic acid sequences: Applications and challenges (Review).Molecular medicine reports · 2025Review
- Review
- Allometry of cell types in planarians by single-cell transcriptomics.Science advances · 2025Article
- Advances in Cellular and Molecular Biology Assays: A Review of Gold Standard Methods.International journal of innovative science and research technology · 2025Article
- Therapeutic implications of endoplasmic reticulum stress gene CCL3 in cervical squamous cell carcinoma.Cell biology and toxicology · 2025Article
- Gene expression regulation and polyadenylation in ulcerative colitis via long-chain RNA sequencing.BMC genomics · 2025Article
- CXCL14 in prostate cancer: complex interactions in the tumor microenvironment and future prospects.Journal of translational medicine · 2025Review
- Integrated transcriptomics and metabolomics analysis of flower petals color transition in different phenotype ofFrontiers in plant science · 2025Article
- Navigating tumour microenvironment in endometrial carcinoma: a comprehensive review integrating immunohistochemistry, single-cell RNA-sequencing and spatial transcriptomics.Frontiers in oncology · 2025Review
- Investigation for atherosclerotic plaque rupture with thrombosis in mice based on single-cell sequencing and bioinformatics analysis.Frontiers in cardiovascular medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell RNA sequencing (scRNA-seq) is a revolutionary tool for studying the physiology of normal and pathologically altered tissues. This approach provides information about molecular features (gene expression, mutations, chromatin accessibility, etc.) of cells, opens up the possibility to analyze the trajectories/phylogeny of cell differentiation and cell-cell interactions, and helps in discovery of new cell types and previously unexplored processes. From a clinical point of view, scRNA-seq facilitates deeper and more detailed analysis of molecular mechanisms of diseases and serves as a basis for the development of new preventive, diagnostic, and therapeutic strategies. The review describes different approaches to the analysis of scRNA-seq data, discusses the advantages and disadvantages of bioinformatics tools, provides recommendations and examples of their successful use, and suggests potential directions for improvement. We also emphasize the need for creating new protocols, including multiomics ones, for the preparation of DNA/RNA libraries of single cells with the purpose of more complete understanding of individual cells.
Indexed as
Identifiers
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.