Evidence map›Paper›PMID 29988361›Full record

ArticleFrontiers in immunology2018

Evidence for Shaping of Light Chain Repertoire by Structural Selection.

Adar Toledano, Yuval Elhanati, Jennifer I C Benichou, Aleksandra M Walczak, Thierry Mora, Yoram Louzoun

Abstract read
In one paragraph

Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Genesis of the αβ T-cell receptor.PLoS computational biology · 2019
    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.

Adar ToledanoDepartment of Mathematics, Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel.
Yuval ElhanatiJoseph Henry Laboratories, Princeton University, Princeton, NJ, United States.
Jennifer I C BenichouDepartment of Mathematics, Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel.
Aleksandra M WalczakLaboratoire de Physique Théorique, UMR8549, CNRS and Ecole Normale Supérieure, Paris, France.
Thierry MoraLaboratoire de physique statistique, UMR8550, CNRS, UPMC and Ecole normale supérieure, Paris, France.
Yoram LouzounDepartment of Mathematics, Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The naïve immunoglobulin (IG) repertoire in the blood differs from the direct output of the rearrangement process. These differences stem from selection that affects the germline gene usage and the junctional nucleotides. A major complication obscuring the details of the selection mechanism in the heavy chain is the failure to properly identify the D germline and determine the nucleotide addition and deletion in the junction region. The selection affecting junctional diversity can, however, be studied in the light chain that has no D gene. We use probabilistic and deterministic models to infer and disentangle generation and selection of the light chain, using large samples of light chains sequenced from healthy donors and transgenic mice. We have previously used similar models for the beta chain of T-cell receptors and the heavy chain of IGs. Selection is observed mainly in the CDR3. The CDR3 length and mass distributions are narrower after selection than before, indicating stabilizing selection for mid-range values. Within the CDR3, proline and cysteine undergo negative selection, while glycine undergoes positive selection. The results presented here suggest structural selection maintaining the size of the CDR3 within a limited range, and preventing turns in the CDR3 region.

Indexed as

B cell receptordeep sequencinglight chainrearrangementselection

Identifiers

PMID29988361
PMCPMC6023962

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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.