ArticlePloS one2013
Correlation of gene expression and genome mutation in single B-cells.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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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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
10 citing papers in PubMed.
- The function of γδ T cells in humoral immune responses.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023Review
- Article
- Article
- Network-based method for detecting dysregulated pathways in glioblastoma cancer.IET systems biology · 2018Article
- Application of an RNA amplification method for reliable single-cell transcriptome analysis.BioTechniques · 2015Article
- Single cell transcriptomics: methods and applications.Frontiers in oncology · 2015Review
- Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice.BMC immunology · 2014Article
- An ID card for T cells.Nature biotechnology · 2014Article
- The promise and challenge of high-throughput sequencing of the antibody repertoire.Nature biotechnology · 2014Review
- Comprehensive evaluation and optimization of amplicon library preparation methods for high-throughput antibody sequencing.PloS one · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput measurement of gene-expression and immune receptor repertoires have recently become powerful tools in the study of adaptive immune response. However, despite their now-widespread use, both tend to discard cell identity by treating cell populations in bulk, and therefore lose the correlation between genetic variability and gene-expression at the single cell level. In order to recover this information, we developed a method to simultaneously measure gene expression profiles and genome mutations in single cells. We applied this method by quantifying the relationships between gene expression and antibody mutation in ensembles of individual B-cells from immunized mice. The results reveal correlations reflecting the manner in which information propagates between a B-cell's antigen receptors, its gene expression, and its mutagenic machinery, and demonstrate the power of this approach to illuminate both heterogeneity and physiology in cell populations.
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Registered trials
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