ReviewPhysical chemistry chemical physics : PCCP2020
High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications.
Review in Physical chemistry chemical physics : PCCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- A suite of macrocyclic peptide inhibitors and substrate probes for arginine methyltransferases.Chemical science · 2026Article
- EasyDIVER + : An Advanced Tool for Analyzing High Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Amino Acids.Journal of molecular evolution · 2025Article
- Leveraging long-read sequencing technologies for pharmacogenomic testing: applications, analytical strategies, challenges, and future perspectives.Frontiers in genetics · 2025Review
- mRNA vaccine platforms: linking infectious disease prevention and cancer immunotherapy.Frontiers in bioengineering and biotechnology · 2025Review
- Cell-Free Display Techniques for Protein Evolution.Advances in biochemical engineering/biotechnology · 2023Article
- PacBio sequencing output increased through uniform and directional fivefold concatenation.Scientific reports · 2021Article
- Research on Cancer Molecular Typing Based on High-Throughput Sequencing Technology.Computational and mathematical methods in medicine · 2021Article
- EasyDIVER: A Pipeline for Assembling and Counting High-Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Peptides.Journal of molecular evolution · 2020Article
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.
Funding
Abstract
In vitro selection using mRNA display is currently a widely used method to isolate functional peptides with desired properties. The analysis of high throughput sequencing (HTS) data from in vitro evolution experiments has proven to be a powerful technique but only recently has it been applied to mRNA display selections. In this Perspective, we introduce aspects of mRNA display and HTS that may be of interest to physical chemists. We highlight the potential of HTS to analyze in vitro selections of peptides and review recent advances in the application of HTS analysis to mRNA display experiments. We discuss some possible issues involved with HTS analysis and summarize some strategies to alleviate them. Finally, the potential for future impact of advancing HTS analysis on mRNA display experiments is discussed.
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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.