Evidence map›Paper›PMID 8628679›Full record

ArticleNucleic acids research1996

Age-dependent silencing of globin transgenes in the mouse.

G Robertson, D Garrick, M Wilson, D I Martin, E Whitelaw

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 93 citations in OpenAlex.

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  8. The use of mouse models to study epigenetics.Cold Spring Harbor perspectives in biology · 2013
    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

5 authors at 1 institution in 1 country.

G RobertsonDepartment of Biochemistry, University of Sydney, NSW, Australia.
D Garrick
M Wilson
D I Martin
E Whitelaw
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variegation of transgene expression, a heterocellular or mosaic pattern of expression seen in all mice in a given transgenic line, is a frequently observed but unexplained phenomenon. We have encountered variegation with globin transgenes; when lacZ expression is driven by globin control elements a proportion of erythrocytes express beta-galactosidase (beta-gal), while the remaining erythrocytes express none. The percentage of expressing cells is constant within each line (at any particular developmental stage), but varies between lines. Such variation may account for much of the line-to-line variability which has been reported in the expression of a transgene construct. We have now extended these observations by studying expression of several globin/lacZ transgenes with increasing age. Expression of beta-gal is variegated in all lines in adult mice, including those made with a beta-globin promoter and locus control region driving lacZ. The extent of variegation differs widely between lines, but in all lines there is a marked decline in the number of erythrocytes expressing beta-gal with increasing age. Progression of silencing continues long past the point at which globin switching is complete, suggesting that it is not related to this process. We observe that age-dependent silencing is most severe in high copy number animals. Increasing variegation of transgene expression with ageing of mice is likely to complicate interpretation of the developmental regulation of transgenes. We speculate that it reflects a general mechanism of epigenetic regulation.

Indexed as

Gene Expression RegulationTransgenesAgingAnimalsErythrocytesFlow CytometryGene DosageGlobinsHumansLac OperonMiceGlobins

Identifiers

PMID8628679
PMCPMC145804
OpenAlexW2154235262

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.