ArticleBMC immunology2014
Capturing needles in haystacks: a comparison of B-cell receptor sequencing methods.
Article in BMC immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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.
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
32 citing papers in PubMed.
- Using cell-free RNA to identify B- and T-cell clonality for diagnosis and monitoring of B- and T-cell neoplasms.FEBS open bio · 2026Article
- Review
- B-Cell Receptor Repertoire: Recent Advances in Autoimmune Diseases.Clinical reviews in allergy & immunology · 2024Review
- Human B Cell Receptor Repertoire Sequencing.Methods in molecular biology (Clifton, N.J.) · 2024Article
- TCR sequencing: applications in immuno-oncology research.Immuno-oncology technology · 2023Review
- Moving beyond Titers.Vaccines · 2022Review
- Advances in antibody discovery from human BCR repertoires.Frontiers in bioinformatics · 2022Review
- Adaptive Immune Receptor Repertoire (AIRR) Community Guide to Repertoire Analysis.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Biological controls for standardization and interpretation of adaptive immune receptor repertoire profiling.eLife · 2021Review
- The methods and advances of adaptive immune receptors repertoire sequencing.Theranostics · 2021Article
- Article
- Ultrasensitive amplicon barcoding for next-generation sequencing facilitating sequence error and amplification-bias correction.Scientific reports · 2020Article
- Systematic Profiling of Full-Length Ig and TCR Repertoire Diversity in Rhesus Macaque through Long Read Transcriptome Sequencing.Journal of immunology (Baltimore, Md. : 1950) · 2020Article
- Discovering Selected Antibodies From Deep-Sequenced Phage-Display Antibody Library Using ATTILA.Bioinformatics and biology insights · 2020Article
- Understanding group A streptococcal pharyngitis and skin infections as causes of rheumatic fever: protocol for a prospective disease incidence study.BMC infectious diseases · 2019Article
- The Pipeline Repertoire for Ig-Seq Analysis.Frontiers in immunology · 2019Review
- A comparison of unamplified and massively multiplexed PCR amplification for murine antibody repertoire sequencing.FASEB bioAdvances · 2019Article
- Single-Cell High-Throughput Technologies in Cerebrospinal Fluid Research and Diagnostics.Frontiers in immunology · 2019Review
- A comparison of unamplified and massively multiplexed PCR amplification for murine antibody repertoire sequencing.FASEB bioAdvances · 2019Article
- Sequencing the peripheral blood B and T cell repertoire - Quantifying robustness and limitations.Journal of immunological methods · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundDeep-sequencing methods are rapidly developing in the field of B-cell receptor (BCR) and T-cell receptor (TCR) diversity. These promise to revolutionise our understanding of adaptive immune dynamics, identify novel antibodies, and allow monitoring of minimal residual disease. However, different methods for BCR and TCR enrichment and amplification have been proposed. Here we perform the first systematic comparison between different methods of enrichment, amplification and sequencing for generating BCR and TCR repertoires using large sample numbers.
resultsResampling from the same RNA or cDNA pool results in highly correlated and reproducible repertoires, but resampling low frequency clones leads to stochastic variance. Repertoires generated by different sequencing methods (454 Roche and Illumina MiSeq) and amplification methods (multiplex PCR, 5' Rapid amplification of cDNA ends (5'RACE), and RNA-capture) are highly correlated, and resulting IgHV gene frequencies between the different methods were not significantly different. Read length has an impact on captured repertoire structure, and ultimately full-length BCR sequences are most informative for repertoire analysis as diversity outside of the CDR is very useful for phylogenetic analysis. Additionally, we show RNA-based BCR repertoires are more informative than using DNA.
conclusionsRepertoires generated by different sequencing and amplification methods are consistent, but we show that read lengths, depths and error profiles should be considered in experimental design, and multiple sampling approaches could be employed to minimise stochastic sampling variation. This detailed investigation of immune repertoire sequencing methods is essential for informing basic and clinical research.
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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.