Evidence map›Paper›PMID 24948612›Full record

ArticleNucleic acids research2014

Serial number tagging reveals a prominent sequence preference of retrotransposon integration.

Atreyi Ghatak Chatterjee, Caroline Esnault, Yabin Guo, Stevephen Hung, Philip G McQueen, Henry L Levin

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  10. Structural basis for spumavirus GAG tethering to chromatin.Proceedings of the National Academy of Sciences of the United States of America · 2017
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  11. Review
  12. Review
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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

6 authors.

Atreyi Ghatak ChatterjeeSection on Eukaryotic Transposable Elements, Program in Cellular Regulation and Metabolism, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
Caroline EsnaultSection on Eukaryotic Transposable Elements, Program in Cellular Regulation and Metabolism, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
Yabin GuoSection on Eukaryotic Transposable Elements, Program in Cellular Regulation and Metabolism, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
Stevephen HungSection on Eukaryotic Transposable Elements, Program in Cellular Regulation and Metabolism, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
Philip G McQueenMathematical & Statistical Computing Laboratory, Division of Computational, Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA.
Henry L LevinSection on Eukaryotic Transposable Elements, Program in Cellular Regulation and Metabolism, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA henry_levin@nih.gov.

Funding

Regulation And Function Of RetroelementsZIAHD001009 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI LEVIN, HENRY L. · 2009 to 2025
$21.8M
Physical modeling of biological systemsZIACT000276 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MCQUEEN, PHILIP · 2013 to 2020
$1.5M
Intramural NIH HHS
6 · The paper itself

Abstract

Transposable elements (TE) have both negative and positive impact on the biology of their host. As a result, a balance is struck between the host and the TE that relies on directing integration to specific genome territories. The extraordinary capacity of DNA sequencing can create ultra dense maps of integration that are being used to study the mechanisms that position integration. Unfortunately, the great increase in the numbers of insertion sites detected comes with the cost of not knowing which positions are rare targets and which sustain high numbers of insertions. To address this problem we developed the serial number system, a TE tagging method that measures the frequency of integration at single nucleotide positions. We sequenced 1 million insertions of retrotransposon Tf1 in the genome of Schizosaccharomyces pombe and obtained the first profile of integration with frequencies for each individual position. Integration levels at individual nucleotides varied over two orders of magnitude and revealed that sequence recognition plays a key role in positioning integration. The serial number system is a general method that can be applied to determine precise integration maps for retroviruses and gene therapy vectors.

Indexed as

RetroelementsSequence Tagged SitesChromosome MappingHigh-Throughput Nucleotide SequencingPromoter Regions, GeneticSchizosaccharomycesSequence Analysis, DNARetroelements

Identifiers

PMID24948612
PMCPMC4117765

What OpenQuestion holds

Textmetadata
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.