Evidence map›Paper›PMID 36385198›Full record

ReviewNature protocols2023

PepSeq: a fully in vitro platform for highly multiplexed serology using customizable DNA-barcoded peptide libraries.

Sierra N Henson, Evan A Elko, Piotr M Swiderski, Yong Liang, Anna L Engelbrektson, Alejandra Piña, Annalee S Boyle, Zane Fink, Salvatore J Facista, Vidal Martinez and 8 more

Erratum issuedOpen access · bronzeAbstract readReview
In one paragraph

Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
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  15. Serum antibody screening using glycan arrays.Chemical Society reviews · 2024
    Review
  16. Article
  17. Article
  18. Pathogen Discovery in the Post-COVID Era.Pathogens (Basel, Switzerland) · 2024
    Review
  19. PhIP-Seq: methods, applications and challenges.Frontiers in bioinformatics · 2024
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Sierra N Henson *The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.ORCID http://orcid.org/0000-0002-9246-4392
Evan A Elko *The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.ORCID http://orcid.org/0000-0001-6472-3169
Piotr M SwiderskiDNA/RNA Synthesis Laboratory, Department of Molecular Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA.
Yong LiangDNA/RNA Synthesis Laboratory, Department of Molecular Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA.
Anna L EngelbrektsonThe Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Alejandra PiñaThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Annalee S BoyleThe Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Zane FinkThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Salvatore J FacistaThe Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.ORCID http://orcid.org/0000-0002-4353-1149
Vidal MartinezThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Fatima RaheeThe Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Annabelle BrownThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Erin J KelleyThe Translational Genomics Research Institute (TGen), Flagstaff, AZ, USA.ORCID http://orcid.org/0000-0002-4164-0771
Georgia A NelsonThe Translational Genomics Research Institute (TGen), Flagstaff, AZ, USA.
Isaiah RaspetThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Heather L MeadThe Translational Genomics Research Institute (TGen), Flagstaff, AZ, USA.
John A AltinThe Translational Genomics Research Institute (TGen), Flagstaff, AZ, USA. jaltin@tgen.org.ORCID http://orcid.org/0000-0001-7587-7470
Jason T LadnerThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA. jason.ladner@nau.edu.ORCID http://orcid.org/0000-0001-7751-4366
Translational Genomics Research Institute · USNorthern Arizona University · USCity of Hope · US

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Samantha Jane Sabo · 2017 to 2026
$49.7M
A scalable platform for highly-multiplexed analysis of antibody reactivity from <1uL of bloodU24AI152172 · NIAID · TRANSLATIONAL GENOMICS RESEARCH INST · PI ALTIN, JOHN · 2020 to 2024
$3.3M
NIAID NIH HHS U24 AI152172NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

PepSeq is an in vitro platform for building and conducting highly multiplexed proteomic assays against customizable targets by using DNA-barcoded peptides. Starting with a pool of DNA oligonucleotides encoding peptides of interest, this protocol outlines a fully in vitro and massively parallel procedure for synthesizing the encoded peptides and covalently linking each to a corresponding cDNA tag. The resulting libraries of peptide/DNA conjugates can be used for highly multiplexed assays that leverage high-throughput sequencing to profile the binding or enzymatic specificities of proteins of interest. Here, we describe the implementation of PepSeq for fast and cost-effective epitope-level analysis of antibody reactivity across hundreds of thousands of peptides from <1 µl of serum or plasma input. This protocol includes the design of the DNA oligonucleotide library, synthesis of DNA-barcoded peptide constructs, binding of constructs to sample, preparation for sequencing and data analysis. Implemented in this way, PepSeq can be used for a number of applications, including fine-scale mapping of antibody epitopes and determining a subject's pathogen exposure history. The protocol is divided into two main sections: (i) design and synthesis of DNA-barcoded peptide libraries and (ii) use of libraries for highly multiplexed serology. Once oligonucleotide templates are in hand, library synthesis takes 1-2 weeks and can provide enough material for hundreds to thousands of assays. Serological assays can be conducted in 96-well plates and generate sequencing data within a further ~4 d. A suite of software tools, including the PepSIRF package, are made available to facilitate the design of PepSeq libraries and analysis of assay data.

Indexed as

Peptide LibraryProteomicsAntibodiesDNAOligonucleotidesPeptidesAntibodiesDNAOligonucleotidesPeptide LibraryPeptides

Identifiers

PMID36385198
PMCPMC10339795
OpenAlexW4309244578

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.