ReviewFrontiers in cell and developmental biology2018
Experimental Considerations for Single-Cell RNA Sequencing Approaches.
Review in Frontiers in cell and developmental biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.
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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.
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Who cites it
108 citing papers in PubMed.
- The Cell Ontology in the age of single-cell omics.Scientific data · 2026Article
- Genetic demultiplexing and transcript start site identification from nanopore sequencing of 10x Genomics multiome libraries.bioRxiv : the preprint server for biology · 2026Article
- 4D multimodal wound healing atlas reveals organ-level controls of repair phase transitions.bioRxiv : the preprint server for biology · 2026Article
- High-altitude hypoxic cues and cerebral ischemic tolerance: an evidence-graded translational framework for stroke research.Frontiers in neuroscience · 2026Review
- Key Concepts in Transcriptomics Data Analysis in the Era of Next-Gen Sequencing.Advances in experimental medicine and biology · 2026Review
- Single-nucleus and spatial transcriptomics reveal the cell populations of intercalary meristems in bamboo.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- CIA: unveiling cellular identities with cluster-independent annotation in single-cell RNA sequencing data for comprehensive cell type characterization and exploration.BMC bioinformatics · 2025Article
- Single-cell sequencing in bladder cancer: new insights from tumor cell diversity to individualized treatment strategies.Cancer cell international · 2025Review
- Recent advancements in tissue dissociation techniques for cell manufacturing single-cell analysis and downstream processing.Stem cells translational medicine · 2025Review
- Hypersonic levitation and spinning: paving the way for enhanced single-cell analysis via contactless tissue dissociation.Communications engineering · 2025Article
- gwSPADE: gene frequency-weighted reference-free deconvolution in spatial transcriptomics.Nucleic acids research · 2025Article
- From whole bodies to single cells: A guide to transcriptomic approaches for ecology and evolutionary biology.Molecular ecology · 2025Review
- Rapid Dissection and Dissociation of the Mouse Olfactory Epithelium for Single-Nucleus Suspensions.Journal of visualized experiments : JoVE · 2025Article
- Engineering the bone metastatic prostate cancer niche through a microphysiological system to report patient-specific treatment response.Communications biology · 2025Article
- Robust Spatial Cell-Type Deconvolution with Qualitative Reference for Spatial Transcriptomics.Small methods · 2025Article
- A versatile and efficient method to isolate nuclei from low-input cryopreserved tissues for single-nuclei transcriptomics.Scientific reports · 2025Article
- Single-Cell Analysis of Endothelial Cell Injury in IgA Nephropathy.Immunity, inflammation and disease · 2025Article
- Article
- Advances in long-read single-cell transcriptomics.Human genetics · 2024Review
- CelltypeR: A flow cytometry pipeline to characterize single cells from brain organoids.iScience · 2024Article
48 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
Abstract
Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular heterogeneity at the resolution of individual cells. Previous scientific knowledge in cell biology is largely limited to data generated by bulk profiling methods, which only provide averaged read-outs that generally mask cellular heterogeneity. This averaged approach is particularly problematic when the biological effect of interest is limited to only a subpopulation of cells such as stem/progenitor cells within a given tissue, or immune cell subsets infiltrating a tumor. Great advances in single-cell RNA sequencing (scRNAseq) enabled scientists to overcome this limitation and allow for in depth interrogation of previously unexplored rare cell types. Due to the high sensitivity of scRNAseq, adequate attention must be put into experimental setup and execution. Careful handling and processing of cells for scRNAseq is critical to preserve the native expression profile that will ensure meaningful analysis and conclusions. Here, we delineate the individual steps of a typical single-cell analysis workflow from tissue procurement, cell preparation, to platform selection and data analysis, and we discuss critical challenges in each of these steps, which will serve as a helpful guide to navigate the complex field of single-cell sequencing.
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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.