ArticleBiomolecular detection and quantification2016
Evaluation of bias associated with high-multiplex, target-specific pre-amplification.
Article in Biomolecular detection and quantification, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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
19 citing papers in PubMed, 39 citations in OpenAlex.
- MicroRNA profiling in plasma samples using qPCR arrays: Recommendations for correct analysis and interpretation.PloS one · 2018Trial
- Protocol to improve isoform-level quantification of low-abundance transcripts via STALARD pre-amplification.STAR protocols · 2026Article
- Quantification of disease-associated RNA tandem repeats by nanopore sensing.Nature communications · 2026Article
- TCR sequencing in cancer immunology and immunotherapy: what, when, where, why, and how.Journal for immunotherapy of cancer · 2026Review
- Absolute quantification of rare gene targets in limited samples using crude lysate and ddPCR.Scientific reports · 2025Article
- Article
- An open protocol for modeling T Cell Clonotype repertoires using TCRβ CDR3 sequences.BMC genomics · 2023Article
- An open protocol for modeling T Cell Clonotype repertoires using TCRβ CDR3 sequences.Research square · 2023Article
- T cell Repertoire Profiling and the Mechanism by which HLA-B27 Causes Ankylosing Spondylitis.Current rheumatology reports · 2022Review
- Utility of Bulk T-Cell Receptor Repertoire Sequencing Analysis in Understanding Immune Responses to COVID-19.Diagnostics (Basel, Switzerland) · 2022Review
- Evaluation of the TCR Repertoire as a Predictive and Prognostic Biomarker in Cancer: Diversity or Clonality?Cancers · 2022Review
- Pre-amplification as a method for improvement of quantitative RT-PCR analysis of circulating miRNAs.Biochemia medica · 2021Article
- Donor-specific cell-free DNA as a biomarker in liver transplantation: A review.World journal of transplantation · 2020Review
- Deciphering the TCR Repertoire to Solve the COVID-19 Mystery.Trends in pharmacological sciences · 2020Review
- Molecular T-Cell Repertoire Analysis as Source of Prognostic and Predictive Biomarkers for Checkpoint Blockade Immunotherapy.International journal of molecular sciences · 2020Review
- Single-Cell Sequencing of T cell Receptors: A Perspective on the Technological Development and Translational Application.Advances in experimental medicine and biology · 2020Review
- The Pipeline Repertoire for Ig-Seq Analysis.Frontiers in immunology · 2019Review
- Overview of methodologies for T-cell receptor repertoire analysis.BMC biotechnology · 2017Article
- Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow.Nucleic acids research · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed a novel PCR-based pre-amplification (PreAmp) technology that can increase the abundance of over 350 target genes one million-fold. To assess potential bias introduced by PreAmp we utilized ERCC RNA reference standards, a model system that quantifies measurement error in RNA analysis. We assessed three types of bias: amplification bias, dynamic range bias and fold-change bias. We show that our PreAmp workflow introduces only minimal amplification and fold-change bias under stringent conditions. We do detect dynamic range bias if a target gene is highly abundant and PreAmp occurred for 16 or more PCR cycles; however, this type of bias is easily correctable. To assess PreAmp bias in a gene expression profiling experiment, we analyzed a panel of genes that are regulated during differentiation using the NTera2 stem cell model system. We find that results generated using PreAmp are similar to results obtained using standard qPCR (without the pre-amplification step). Importantly, PreAmp maintains patterns of gene expression changes across samples; the same biological insights would be derived from a PreAmp experiment as with a standard gene expression profiling experiment. We conclude that our PreAmp technology can facilitate analysis of extremely limited samples in gene expression quantification experiments.
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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.