ReviewInternational journal of molecular sciences2015
Single-Cell Isolation and Gene Analysis: Pitfalls and Possibilities.
Review in International journal of molecular sciences, 2015. 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.
- Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026Pooled it
- Plant biotechnology research with single-cell transcriptome: recent advancements and prospects.Plant cell reports · 2024Review
- Enhancing single-cell biology through advanced AI-powered microfluidics.Biomicrofluidics · 2023Article
- Single-cell and spatial multi-omics in the plant sciences: Technical advances, applications, and perspectives.Plant communications · 2023Review
- Single-cell analysis and spatial resolution of the gut microbiome.Frontiers in cellular and infection microbiology · 2023Review
- Droplets microfluidics platform-A tool for single cell research.Frontiers in bioengineering and biotechnology · 2023Review
- Laser Capture Microdissection: A Gear for Pancreatic Cancer Research.International journal of molecular sciences · 2022Review
- Single-Cell Sequencing and Its Applications in Liver Cancer.Frontiers in oncology · 2022Review
- Microfluidics applications for high-throughput single cell sequencing.Journal of nanobiotechnology · 2021Review
- Tutorial: Guidelines for Single-Cell RT-qPCR.Cells · 2021Review
- Digital microfluidic isolation of single cells for -Omics.Nature communications · 2020Article
- Microfluidic single-cell analysis-Toward integration and total on-chip analysis.Biomicrofluidics · 2020Review
- Exploring the Fundamental Structures of Life: Non-Targeted, Chemical Analysis of Single Cells and Subcellular Structures.Angewandte Chemie (International ed. in English) · 2019Review
- βCirculation research · 2019Article
- Application of single-cell sequencing in human cancer.Briefings in functional genomics · 2018Review
- Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp.Journal of visualized experiments : JoVE · 2018Article
- Platforms for Single-Cell Collection and Analysis.International journal of molecular sciences · 2018Review
- Profiling the extended phenotype of plant pathogens: Challenges in Bacterial Molecular Plant Pathology.Molecular plant pathology · 2017Review
- Human lung ex vivo infection models.Cell and tissue research · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the last two decades single-cell analysis (SCA) has revealed extensive phenotypic differences within homogenous cell populations. These phenotypic differences are reflected in the stochastic nature of gene regulation, which is often masked by qualitatively and quantitatively averaging in whole tissue analyses. The ability to isolate transcripts and investigate how genes are regulated at the single cell level requires highly sensitive and refined methods. This paper reviews different strategies currently used for SCA, including harvesting, reverse transcription, and amplification of the RNA, followed by methods for transcript quantification. The review provides the historical background to SCA, discusses limitations, and current and future possibilities in this exciting field of research.
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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.