Evidence map›Paper›PMID 18073417›Full record

ArticleGenetics2007

Large-scale survey of cytosine methylation of retrotransposons and the impact of readout transcription from long terminal repeats on expression of adjacent rice genes.

Khalil Kashkush, Vadim Khasdan

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
9.6field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 108 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Khalil KashkushDepartment of Life Sciences, Ben-Gurion University, Beer-Sheva, 84105, Israel. kashkush@bgu.ac.il
Vadim Khasdan
Ben-Gurion University of the Negev · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposable elements (TEs) represent approximately 45% of the human genome and 50-90% of some grass genomes. While most elements contain inactivating mutations, others are reversibly inactivated (silenced) by epigenetic mechanisms, including cytosine methylation. Previous studies have shown that retrotransposons can influence the expression of adjacent host genes. In this study, the methylation patterns of TEs and their flanking sequences in different tissues were undertaken using a novel technique called transposon methylation display (TMD). TMD was successfully applied on a highly copied (approximately 1000 copies), newly amplified LTR retrotransposon family in rice called Dasheng. We determined that the methylation status of a subset of LTRs varies in leaves vs. roots. In addition, we determined that tissue-specific LTR methylation correlated with tissue-specific expression of the flanking rice gene. Genes showing tissue-specific expression were in opposite orientation relative to the LTR. Antisense transcripts were detected in the tissue where the sense transcripts from that gene were not detected. Comparative analysis of Dasheng LTR methylation in the two subspecies, japonica vs. indica revealed LTR-mediated differences in subspecies gene expression. Subspecies-specific expression was due either to polymorphic Dasheng insertion sites between the two subspecies or to subspecies-specific methylation of LTRs at the same locus accounted for observed differences in the expression of adjacent genes.

Indexed as

DNA MethylationGene Expression Regulation, PlantRetroelementsTranscription, GeneticCytosineDNA Transposable ElementsGenes, PlantOryzaPlant StructuresRNA, AntisenseTerminal Repeat SequencesTissue DistributionCytosineDNA Transposable ElementsRetroelementsRNA, Antisense

Identifiers

PMID18073417
PMCPMC2219487
OpenAlexW2015523315

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.