Evidence map›Paper›PMID 33603748›Full record

ArticleFrontiers in immunology2020

Correlations in Somatic Hypermutation Between Sites in IGHV Genes Can Be Explained by Interactions Between AID and/or Polη Hotspots.

Artem Krantsevich, Catherine Tang, Thomas MacCarthy

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Artem KrantsevichDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States.
Catherine TangDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States.
Thomas MacCarthyDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States.
Stony Brook University · US

Funding

A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regionsR01AI132507 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI RIZZO, ROBERT C., SCHARFF, MATTHEW D · 2018 to 2022
$3.0M
NIAID NIH HHS R01 AI132507
6 · The paper itself

Abstract

The somatic hypermutation (SHM) of Immunoglobulin (Ig) genes is a key process during antibody affinity maturation in B cells. The mutagenic enzyme activation induced deaminase (AID) is required for SHM and has a preference for WRC hotspots in DNA. Error-prone repair mechanisms acting downstream of AID introduce further mutations, including DNA polymerase eta (Polη), part of the non-canonical mismatch repair pathway (ncMMR), which preferentially generates mutations at WA hotspots. Previously proposed mechanistic models lead to a variety of predictions concerning interactions between hotspots, for example, how mutations in one hotspot will affect another hotspot. Using a large, high-quality, Ig repertoire sequencing dataset, we evaluated pairwise correlations between mutations site-by-site using an unbiased measure similar to mutual information which we termed "mutational association" (MA). Interactions are dominated by relatively strong correlations between nearby sites (short-range MAs), which can be almost entirely explained by interactions between overlapping hotspots for AID and/or Polη. We also found relatively weak dependencies between almost all sites throughout each gene (longer-range MAs), although these arise mostly as a statistical consequence of high pairwise mutation frequencies. The dominant short-range interactions are also highest within the most highly mutating IGHV sub-regions, such as the complementarity determining regions (CDRs), where there is a high hotspot density. Our results suggest that the hotspot preferences for AID and Polη have themselves evolved to allow for greater interactions between AID and/or Polη induced mutations.

Indexed as

Cytidine DeaminaseDNA-Directed DNA PolymeraseGenes, Immunoglobulin Heavy ChainHumansImmunoglobulin Variable RegionSomatic Hypermutation, ImmunoglobulinCytidine DeaminaseDNA-Directed DNA PolymeraseImmunoglobulin Variable Regionactivation-induced deaminaseB cell receptorcomputational immunologyimmunoglobulin heavy chainoverlapping hotspotssomatic hypermutation

Identifiers

PMID33603748
PMCPMC7884765
OpenAlexW3129190564

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.