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Costorage of Enteroendocrine Hormones Evaluated at the Cell and Subcellular Levels in Male Mice

Overview of attention for article published in Endocrinology, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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2 tweeters
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2 Facebook pages

Citations

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23 Dimensions

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33 Mendeley
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Title
Costorage of Enteroendocrine Hormones Evaluated at the Cell and Subcellular Levels in Male Mice
Published in
Endocrinology, April 2017
DOI 10.1210/en.2017-00243
Pubmed ID
Authors

Linda J. Fothergill, Brid Callaghan, Billie Hunne, David M. Bravo, John B. Furness

Abstract

Recent studies reveal complex patterns of hormone co-expression within enteroendocrine cells (EEC), contrary to the traditional view that gut hormones are expressed individually in EEC. Moreover, different hormones have been found in separate subcellular vesicles. However, detailed analysis of relative expression of multiple hormones has not been made. Subcellular studies have been confined to peptide hormones, and have not included the indolamine, 5-HT, or the neuroendocrine protein, chromogranin A (CgA). In the present work, co-expression of 5-HT, CgA, secretin, CCK, ghrelin, and GLP-1 in mouse duodenum was quantified at a cellular and subcellular level by semi-automated cell counting and quantitative vesicle measurements. We investigated whether relative numbers of cells with co-localised hormones analysed at a cell level matched the numbers revealed by examination of individual storage vesicles within cells. CgA and 5-HT were frequently expressed in EEC that contained combinations of GLP-1, ghrelin, secretin and CCK. Separate subcellular stores of 5-HT, CgA, secretin, CCK, ghrelin, and GLP-1 were identified. In some cases, high resolution analysis revealed small numbers of immunoreactive vesicles in cells dominated by a different hormone. Thus the observed incidence of cells with co-localised hormones is greater when analysed at a subcellular, compared with a cell level. Subcellular analysis also showed that relative numbers of vesicles differ considerably between cells. Thus separate packaging of hormones that are co-localised is a general feature of EEC, and EEC exhibit substantial heterogeneity, including the co-localisation of hormones that were formerly thought to be in cells of different lineages.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 30%
Student > Ph. D. Student 9 27%
Unspecified 4 12%
Student > Doctoral Student 3 9%
Professor > Associate Professor 2 6%
Other 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 30%
Medicine and Dentistry 7 21%
Biochemistry, Genetics and Molecular Biology 6 18%
Unspecified 6 18%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Other 1 3%

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 05 July 2017.
All research outputs
#5,979,733
of 11,430,110 outputs
Outputs from Endocrinology
#5,275
of 6,954 outputs
Outputs of similar age
#105,844
of 268,169 outputs
Outputs of similar age from Endocrinology
#15
of 46 outputs
Altmetric has tracked 11,430,110 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,954 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 268,169 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 59% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.