↓ Skip to main content

A serial multiplex immunogold labeling method for identifying peptidergic neurons in connectomes

Overview of attention for article published in eLife, December 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
21 X users
googleplus
1 Google+ user

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A serial multiplex immunogold labeling method for identifying peptidergic neurons in connectomes
Published in
eLife, December 2015
DOI 10.7554/elife.11147
Pubmed ID
Authors

Réza Shahidi, Elizabeth A Williams, Markus Conzelmann, Albina Asadulina, Csaba Verasztó, Sanja Jasek, Luis A Bezares-Calderón, Gáspár Jékely

Abstract

Electron microscopy-based connectomics aims to comprehensively map synaptic connections in neural tissue. However, current approaches are limited in their capacity to directly assign molecular identities to neurons. Here, we use serial multiplex immunogold labeling (siGOLD) and serial-section transmission electron microscopy (ssTEM) to identify multiple peptidergic neurons in a connectome. The high immunogenicity of neuropeptides and their broad distribution along axons, allowed us to identify distinct neurons by immunolabeling small subsets of sections within larger series. We demonstrate the scalability of siGOLD by using 11 neuropeptide antibodies on a full-body larval ssTEM dataset of the annelid Platynereis. We also reconstruct a peptidergic circuitry comprising the sensory nuchal organs, found by siGOLD to express pigment-dispersing factor, a circadian neuropeptide. Our approach enables the direct overlaying of chemical neuromodulatory maps onto synaptic connectomic maps in the study of nervous systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Germany 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 15 23%
Student > Bachelor 4 6%
Student > Master 4 6%
Other 3 5%
Other 8 12%
Unknown 15 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 31%
Neuroscience 12 18%
Biochemistry, Genetics and Molecular Biology 11 17%
Chemistry 4 6%
Arts and Humanities 1 2%
Other 3 5%
Unknown 14 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 23 June 2021.
All research outputs
#894,277
of 25,155,561 outputs
Outputs from eLife
#2,886
of 15,404 outputs
Outputs of similar age
#15,252
of 402,616 outputs
Outputs of similar age from eLife
#54
of 317 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.3. This one has done well, scoring higher than 81% 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 402,616 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.