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A High Through-put Platform for Recombinant Antibodies to Folded Proteins*

Overview of attention for article published in Molecular and Cellular Proteomics, August 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
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7 X users
patent
12 patents

Readers on

mendeley
139 Mendeley
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Article details
Title
A High Through-put Platform for Recombinant Antibodies to Folded Proteins*
Published in
Molecular and Cellular Proteomics, August 2015
DOI 10.1074/mcp.o115.052209
Pubmed ID
Authors
Abstract

Antibodies are key reagents in biology and medicine, but commercial sources are rarely recombinant and thus do not provide a permanent and renewable resource. Here, we describe an industrialized platform to generate antigens and validated recombinant antibodies for 346 transcription factors (TFs) and 211 epigenetic antigens. We describe an optimized automated phage display and antigen expression pipeline that in aggregate produced about 3000 sequenced Fabs (Fragment antigen-binding domain) that had high affinity (typically EC50<20nM), high stability (Tm~80oC), good expression in E. coli (~5mg/L), and ability to bind antigen in complex cell lysates. We evaluated a subset of Fabs generated to homologous SCAN domains for binding specificities. These Fabs were mono-specific to their target SCAN antigen except in rare cases where they cross-reacted with a few highly related antigens. Remarkably, immunofluorescence experiments in six cell lines for 270 of the TF antigens, each having multiple antibodies, show that ~70% stain predominantly in the cytosol and ~20% stain in the nucleus which reinforces the dominant role that translocation plays in TF biology. These cloned antibody reagents are being made available to the academic community through our web site recombinant-antibodies.org to allow a more system-wide analysis of TF and chromatin biology. We believe these platforms, infrastructure, and automated approaches will facilitate the next generation of renewable antibody reagents to the human proteome in the coming decade.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Unknown 135 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 20%
Researcher 26 19%
Student > Master 12 9%
Student > Bachelor 10 7%
Student > Doctoral Student 8 6%
Other 21 15%
Unknown 34 24%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 34%
Agricultural and Biological Sciences 28 20%
Chemistry 13 9%
Engineering 4 3%
Medicine and Dentistry 4 3%
Other 10 7%
Unknown 33 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 November 2025.
All research outputs
#3,528,509
of 34,526,284 outputs
Outputs from Molecular and Cellular Proteomics
#574
of 3,807 outputs
Outputs of similar age
#35,777
of 302,684 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#7
of 56 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,807 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 84% 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 302,684 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 56 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.