ReviewFrontiers in oncology2015
Single cell transcriptomics: methods and applications.
Review in Frontiers in oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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.
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.
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Who cites it
32 citing papers in PubMed.
- Crosstalk between innate immune signaling pathways and integrated TLR, NLRP3 inflammasome, cGAS-STING, and NF-κB networks in sepsis.Frontiers in cell and developmental biology · 2026Review
- Sample Preparation for Single Cell Mass Spectrometry Metabolomics Studies: Combined Cell Washing, Quenching, Drying, and Storage.Journal of visualized experiments : JoVE · 2025Article
- Developing a Cell Quenching Method to Facilitate Single Cell Mass Spectrometry Metabolomics Studies.JACS Au · 2025Article
- scCrab: A Reference-Guided Cancer Cell Identification Method based on Bayesian Neural Networks.Interdisciplinary sciences, computational life sciences · 2025Article
- Article
- Article
- A novel coiled-coil domain containing-related gene signature for predicting prognosis and treatment effect of breast cancer.Journal of cancer research and clinical oncology · 2023Article
- An integrated map of cell type-specific gene expression in pancreatic islets.bioRxiv : the preprint server for biology · 2023Article
- Single cell transcriptome analyses of the developing zebrafish eye- perspectives and applications.Frontiers in cell and developmental biology · 2023Review
- Review
- Single-cell RNA-sequencing of retrieved human oocytes and eggs in clinical practice and for human ovarian cell atlasing.Molecular reproduction and development · 2022Review
- Impact of single-cell RNA sequencing on understanding immune regulation.Journal of cellular and molecular medicine · 2022Review
- A contemporary review on the important role ofInformatics in medicine unlocked · 2022Review
- Editorial for the Special Issue on Micro/Nanofluidic Devices for Single Cell Analysis, Volume II.Micromachines · 2021Article
- Computational strategies for single-cell multi-omics integration.Computational and structural biotechnology journal · 2021Review
- Single-cell transcriptome conservation in a comparative analysis of fresh and cryopreserved human skin tissue: pilot in localized scleroderma.Arthritis research & therapy · 2020Article
- Microbial single-cell omics: the crux of the matter.Applied microbiology and biotechnology · 2020Review
- Effects of metabolic state on the regulation of melanocortin circuits.Physiology & behavior · 2020Review
- On-chip protein separation with single-molecule resolution.Scientific reports · 2020Article
- Redesigning the T-probe for mass spectrometry analysis of online lysis of non-adherent single cells.Analytica chimica acta · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditionally, gene expression measurements were performed on "bulk" samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular properties that were previously masked in "bulk" measurements can now be observed directly. In this review, we will survey emerging technologies for single cell transcriptomics, and describe how they are used to study complex disease such as cancer, as well as other biological phenomena such as tissue regeneration, embryonic development, and immune response.
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Registered trials
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