Evidence map›Paper›PMID 12538660›Full record

ArticleThe Journal of experimental medicine2003

Prospective estimation of recombination signal efficiency and identification of functional cryptic signals in the genome by statistical modeling.

Lindsay G Cowell, Marco Davila, Kaiyong Yang, Thomas B Kepler, Garnett Kelsoe

Abstract read
In one paragraph

Article in The Journal of experimental medicine, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Heavy-chain receptor editing unbound.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  17. Article
  18. Unifying model for molecular determinants of the preselection Vβ repertoire.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  19. Article
  20. Chromatin conformation governs T-cell receptor Jβ gene segment usage.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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.

Lindsay G CowellDepartment of Immunology, Duke University Medical Center, Durham, NC 27710, USA.
Marco Davila
Kaiyong Yang
Thomas B Kepler
Garnett Kelsoe

Funding

Basic Immunology Training ProgramT32AI052077 · NIAID · DUKE UNIVERSITY · PI KRANGEL, MICHAEL S · 2002 to 2024
$4.2M
MURINE ANTIBODY REPERTOIRER01AI024335 · NIAID · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI KELSOE, GARNETT H · 1988 to 2010
$2.7M
THE ROLE OF COMPLEMENT IN AUTOIMMUNITYR01AI049326 · NIAID · DUKE UNIVERSITY · PI KELSOE, GARNETT H · 2001 to 2005
$1.5M
NIAID NIH HHS AI 24335NIAID NIH HHS AI 49326NIAID NIH HHS R01 AI024335NIAID NIH HHS R01 AI049326NIAID NIH HHS T32 AI052077NIAID NIH HHS T32 AI 52077
6 · The paper itself

Abstract

The recombination signals (RS) that guide V(D)J recombination are phylogenetically conserved but retain a surprising degree of sequence variability, especially in the nonamer and spacer. To characterize RS variability, we computed the position-wise information, a measure correlated with sequence conservation, for each nucleotide position in an RS alignment and demonstrate that most position-wise information is present in the RS heptamers and nonamers. We have previously demonstrated significant correlations between RS positions and here show that statistical models of the correlation structure that underlies RS variability efficiently identify physiologic and cryptic RS and accurately predict the recombination efficiencies of natural and synthetic RS. In scans of mouse and human genomes, these models identify a highly conserved family of repetitive DNA as an unexpected source of frequent, cryptic RS that rearrange both in extrachromosomal substrates and in their genomic context.

Indexed as

GenomeModels, GeneticRecombination, GeneticAnimalsBase SequenceConserved SequenceDNAGene RearrangementGenome, HumanHumansMiceModels, StatisticalMolecular Sequence DataSequence Homology, Nucleic AcidDNA

Identifiers

PMID12538660
PMCPMC2193808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.