Evidence map›Paper›PMID 30333820›Full record

ReviewFrontiers in immunology2018

Tracing Antibody Repertoire Evolution by Systems Phylogeny.

Alexander Dimitri Yermanos, Andreas Kevin Dounas, Tanja Stadler, Annette Oxenius, Sai T Reddy

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Trace Reconstruction Problems in Computational Biology.IEEE transactions on information theory · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Optimizing immunization protocols to elicit broadly neutralizing antibodies.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Article
  14. Article
  15. Review
  16. 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

5 authors at 1 institution in 1 country.

Alexander Dimitri YermanosDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Andreas Kevin DounasDepartment of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Annette OxeniusDepartment of Biology, Institute of Microbiology, ETH Zurich, Zurich, Switzerland.
Sai T ReddyDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody evolution studies have been traditionally limited to either tracing a single clonal lineage (B cells derived from a single V-(D)-J recombination) over time or examining bulk functionality changes (e.g., tracing serum polyclonal antibody proteins). Studying a single B cell disregards the majority of the humoral immune response, whereas bulk functional studies lack the necessary resolution to analyze the co-existing clonal diversity. Recent advances in high-throughput sequencing (HTS) technologies and bioinformatics have made it possible to examine multiple co-evolving antibody monoclonal lineages within the context of a single repertoire. A plethora of accompanying methods and tools have been introduced in hopes of better understanding how pathogen presence dictates the global evolution of the antibody repertoire. Here, we provide a comprehensive summary of the tremendous progress of this newly emerging field of systems phylogeny of antibody responses. We present an overview encompassing the historical developments of repertoire phylogenetics, state-of-the-art tools, and an outlook on the future directions of this fast-advancing and promising field.

Indexed as

Evolution, MolecularAnimalsAntibodiesBinding Sites, AntibodyHumansAntibodiesantibody lineageB cell evolutionIg-Seqphylogeneticssystems immunology

Identifiers

PMID30333820
PMCPMC6176079
OpenAlexW2889633239

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.