ReviewCellular and molecular life sciences : CMLS2014
Single-cell analysis of the transcriptome and its application in the characterization of stem cells and early embryos.
Review in Cellular and molecular life sciences : CMLS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026Pooled it
- The applications of single-cell and spatial transcriptomics in neuroscience and brain disorders.Neuroscience and biobehavioral reviews · 2026Review
- [Progress of scRNA-seq technology in nasopharyngeal carcinoma research].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025Review
- Single-cell omics: experimental workflow, data analyses and applications.Science China. Life sciences · 2025Review
- High-Quality Chromosome-Level Genome Assembly of the Corsac Fox (International journal of molecular sciences · 2023Article
- The Evolution of Single-Cell RNA Sequencing Technology and Application: Progress and Perspectives.International journal of molecular sciences · 2023Review
- Recent advances and application of whole genome amplification in molecular diagnosis and medicine.MedComm · 2022Review
- Microfluidics applications for high-throughput single cell sequencing.Journal of nanobiotechnology · 2021Review
- Single-Cell Sequencing and Organoids: A Powerful Combination for Modelling Organ Development and Diseases.Reviews of physiology, biochemistry and pharmacology · 2021Review
- SCDevDB: A Database for Insights Into Single-Cell Gene Expression Profiles During Human Developmental Processes.Frontiers in genetics · 2019Article
- Technical Advances in Single-Cell RNA Sequencing and Applications in Normal and Malignant Hematopoiesis.Frontiers in oncology · 2018Review
- Single-cell RNA-sequencing of the brain.Clinical and translational medicine · 2017Review
- Single-cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis.Clinical and translational medicine · 2017Review
- High resolution temporal transcriptomics of mouse embryoid body development reveals complex expression dynamics of coding and noncoding loci.Scientific reports · 2017Article
- Single-cell Transcriptome Study as Big Data.Genomics, proteomics & bioinformatics · 2016Review
- Single Cell Isolation and Analysis.Frontiers in cell and developmental biology · 2016Review
- Mass spectrometry-based characterization of endogenous peptides and metabolites in small volume samples.Biochimica et biophysica acta · 2015Review
- Aberrant expression of maternal Plk1 and Dctn3 results in the developmental failure of human in-vivo- and in-vitro-matured oocytes.Scientific reports · 2015Article
- Single Cell Analysis: From Technology to Biology and Medicine.Single cell biology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Cellular heterogeneity within a cell population is a common phenomenon in multicellular organisms, tissues, cultured cells, and even FACS-sorted subpopulations. Important information may be masked if the cells are studied as a mass. Transcriptome profiling is a parameter that has been intensively studied, and relatively easier to address than protein composition. To understand the basis and importance of heterogeneity and stochastic aspects of the cell function and its mechanisms, it is essential to examine transcriptomes of a panel of single cells. High-throughput technologies, starting from microarrays and now RNA-seq, provide a full view of the expression of transcriptomes but are limited by the amount of RNA for analysis. Recently, several new approaches for amplification and sequencing the transcriptome of single cells or a limited low number of cells have been developed and applied. In this review, we summarize these major strategies, such as PCR-based methods, IVT-based methods, phi29-DNA polymerase-based methods, and several other methods, including their principles, characteristics, advantages, and limitations, with representative applications in cancer stem cells, early development, and embryonic stem cells. The prospects for development of future technology and application of transcriptome analysis in a single cell are also discussed.
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.