↓ Skip to main content

A toolbox of anti–mouse and anti–rabbit IgG secondary nanobodies

Overview of attention for article published in Journal of Cell Biology, December 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 12,135)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
400 Mendeley
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 toolbox of anti–mouse and anti–rabbit IgG secondary nanobodies
Published in
Journal of Cell Biology, December 2017
DOI 10.1083/jcb.201709115
Pubmed ID
Authors

Tino Pleiner, Mark Bates, Dirk Görlich

Abstract

Polyclonal anti-immunoglobulin G (anti-IgG) secondary antibodies are essential tools for many molecular biology techniques and diagnostic tests. Their animal-based production is, however, a major ethical problem. Here, we introduce a sustainable alternative, namely nanobodies against all mouse IgG subclasses and rabbit IgG. They can be produced at large scale in Escherichia coli and could thus make secondary antibody production in animals obsolete. Their recombinant nature allows fusion with affinity tags or reporter enzymes as well as efficient maleimide chemistry for fluorophore coupling. We demonstrate their superior performance in Western blotting, in both peroxidase- and fluorophore-linked form. Their site-specific labeling with multiple fluorophores creates bright imaging reagents for confocal and superresolution microscopy with much smaller label displacement than traditional secondary antibodies. They also enable simpler and faster immunostaining protocols, and allow multitarget localization with primary IgGs from the same species and of the same class.

X Demographics

X Demographics

The data shown below were collected from the profiles of 191 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 400 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 400 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 84 21%
Student > Ph. D. Student 65 16%
Student > Bachelor 37 9%
Student > Master 36 9%
Professor 22 6%
Other 62 16%
Unknown 94 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 136 34%
Agricultural and Biological Sciences 68 17%
Neuroscience 26 7%
Medicine and Dentistry 15 4%
Physics and Astronomy 11 3%
Other 45 11%
Unknown 99 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 222. 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 30 May 2024.
All research outputs
#183,192
of 26,375,927 outputs
Outputs from Journal of Cell Biology
#14
of 12,135 outputs
Outputs of similar age
#3,885
of 453,851 outputs
Outputs of similar age from Journal of Cell Biology
#2
of 97 outputs
Altmetric has tracked 26,375,927 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,135 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 99% 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 453,851 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 99% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.