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Synthetic lethal analysis of Caenorhabditis elegans posterior embryonic patterning genes identifies conserved genetic interactions

Overview of attention for article published in Genome Biology, April 2005
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3 Wikipedia pages

Citations

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58 Dimensions

Readers on

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57 Mendeley
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4 CiteULike
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1 Connotea
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Title
Synthetic lethal analysis of Caenorhabditis elegans posterior embryonic patterning genes identifies conserved genetic interactions
Published in
Genome Biology, April 2005
DOI 10.1186/gb-2005-6-5-r45
Pubmed ID
Authors

L Ryan Baugh, Joanne C Wen, Andrew A Hill, Donna K Slonim, Eugene L Brown, Craig P Hunter

Abstract

Phenotypic robustness is evidenced when single-gene mutations do not result in an obvious phenotype. It has been suggested that such phenotypic stability results from 'buffering' activities of homologous genes as well as non-homologous genes acting in parallel pathways. One approach to characterizing mechanisms of phenotypic robustness is to identify genetic interactions, specifically, double mutants where buffering is compromised. To identify interactions among genes implicated in posterior patterning of the Caenorhabditis elegans embryo, we measured synthetic lethality following RNA interference of 22 genes in 15 mutant strains. A pair of homologous T-box transcription factors (tbx-8 and tbx-9) is found to interact in both C. elegans and C. briggsae, indicating that their compensatory function is conserved. Furthermore, a muscle module is defined by transitive interactions between the MyoD homolog hlh-1, another basic helix-loop-helix transcription factor, hnd-1, and the MADS-box transcription factor unc-120. Genetic interactions within a homologous set of genes involved in vertebrate myogenesis indicate broad conservation of the muscle module and suggest that other genetic modules identified in C. elegans will be conserved.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Switzerland 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 25%
Student > Ph. D. Student 9 16%
Professor 5 9%
Student > Bachelor 5 9%
Professor > Associate Professor 4 7%
Other 11 19%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 49%
Biochemistry, Genetics and Molecular Biology 13 23%
Neuroscience 3 5%
Nursing and Health Professions 1 2%
Engineering 1 2%
Other 0 0%
Unknown 11 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2022.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#25,549
of 72,877 outputs
Outputs of similar age from Genome Biology
#12
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.