Evidence map›Paper›PMID 33089110›Full record

ArticleiScience2020

Phage-DMS: A Comprehensive Method for Fine Mapping of Antibody Epitopes.

Meghan E Garrett, Hannah L Itell, Katharine H D Crawford, Ryan Basom, Jesse D Bloom, Julie Overbaugh

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. An Overview of Epitopes and Methods for Antibody Epitope Mapping.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Article
  11. Review
  12. phippery: a software suite for PhIP-Seq data analysis.Bioinformatics (Oxford, England) · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Meghan E GarrettDivision of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Hannah L ItellDivision of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Katharine H D CrawfordDivisions of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Ryan BasomGenomics and Bioinformatics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Jesse D BloomDivisions of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Julie OverbaughDivision of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
University of Washington · USFred Hutch Cancer Center · USHoward Hughes Medical Institute · US

Funding

TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
Comprehensive profiling of SARS-CoV-2 antibody responses and escape pathwaysR01AI138709 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI OVERBAUGH, JULIE M. · 2018 to 2022
$5.0M
DEFINING THE INFANT IMMUNE RESPONSE TO HIVR01AI120961 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI OVERBAUGH, JULIE M. · 2016 to 2020
$4.1M
Viral Pathogenesis Training ProgramT32AI083203 · NIAID · UNIVERSITY OF WASHINGTON · PI BLOOM, JESSE D, LAGUNOFF, MICHAEL · 2009 to 2023
$2.7M
Complete mapping of immune selection from antibodies to HIVR01AI140891 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2019 to 2024
$2.4M
Prospectively characterizing the functional and antigenic effects of mutations to viral entry proteinsR01AI141707 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2018 to 2022
$2.1M
NIAID NIH HHS R01 AI120961NIAID NIH HHS R01 AI138709NIAID NIH HHS R01 AI141707NIAID NIH HHS T32 AI083203NIGMS NIH HHS T32 GM007270
6 · The paper itself

Abstract

Understanding the antibody response is critical to developing vaccine and antibody-based therapies and has inspired the recent development of new methods to isolate antibodies. Methods to define the antibody-antigen interactions that determine specificity or allow escape have not kept pace. We developed Phage-DMS, a method that combines two powerful approaches-immunoprecipitation of phage peptide libraries and deep mutational scanning (DMS)-to enable high-throughput fine mapping of antibody epitopes. As an example, we designed sequences encoding all possible amino acid variants of HIV Envelope to create phage libraries. Using Phage-DMS, we identified sites of escape predicted using other approaches for four well-characterized HIV monoclonal antibodies with known linear epitopes. In some cases, the results of Phage-DMS refined the epitope beyond what was determined in previous studies. This method has the potential to rapidly and comprehensively screen many antibodies in a single experiment to define sites essential for binding interactions.

Indexed as

Genomic LibraryVirology

Identifiers

PMID33089110
PMCPMC7566095
OpenAlexW3090784217

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.