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The wright stuff: reimagining path analysis reveals novel components of the sex determination hierarchy in drosophila melanogaster

Overview of attention for article published in BMC Systems Biology, September 2015
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  • High Attention Score compared to outputs of the same age and source (89th percentile)

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46 Mendeley
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Title
The wright stuff: reimagining path analysis reveals novel components of the sex determination hierarchy in drosophila melanogaster
Published in
BMC Systems Biology, September 2015
DOI 10.1186/s12918-015-0200-0
Pubmed ID
Authors

Justin M. Fear, Michelle N. Arbeitman, Matthew P. Salomon, Justin E. Dalton, John Tower, Sergey V. Nuzhdin, Lauren M. McIntyre

Abstract

The Drosophila sex determination hierarchy is a classic example of a transcriptional regulatory hierarchy, with sex-specific isoforms regulating morphology and behavior. We use a structural equation modeling approach, leveraging natural genetic variation from two studies on Drosophila female head tissues - DSPR collection (596 F1-hybrids from crosses between DSPR sub-populations) and CEGS population (75 F1-hybrids from crosses between DGRP/Winters lines to a reference strain w1118) - to expand understanding of the sex hierarchy gene regulatory network (GRN). This approach is completely generalizable to any natural population, including humans. We expanded the sex hierarchy GRN adding novel links among genes, including a link from fruitless (fru) to Sex-lethal (Sxl) identified in both populations. This link is further supported by the presence of fru binding sites in the Sxl locus. 754 candidate genes were added to the pathway, including the splicing factors male-specific lethal 2 and Rm62 as downstream targets of Sxl which are well-supported links in males. Independent studies of doublesex and transformer mutants support many additions, including evidence for a link between the sex hierarchy and metabolism, via Insulin-like receptor. The genes added in the CEGS population were enriched for genes with sex-biased splicing and components of the spliceosome. A common goal of molecular biologists is to expand understanding about regulatory interactions among genes. Using natural alleles we can not only identify novel relationships, but using supervised approaches can order genes into a regulatory hierarchy. Combining these results with independent large effect mutation studies, allows clear candidates for detailed molecular follow-up to emerge.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 2%
United States 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 7 15%
Student > Master 6 13%
Student > Bachelor 5 11%
Professor > Associate Professor 4 9%
Other 5 11%
Unknown 6 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 35%
Agricultural and Biological Sciences 14 30%
Computer Science 3 7%
Psychology 2 4%
Medicine and Dentistry 2 4%
Other 2 4%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 October 2015.
All research outputs
#7,284,512
of 23,881,329 outputs
Outputs from BMC Systems Biology
#261
of 1,126 outputs
Outputs of similar age
#83,161
of 269,524 outputs
Outputs of similar age from BMC Systems Biology
#4
of 29 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,524 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.