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Autocrine signaling based selection of combinatorial antibodies that transdifferentiate human stem cells

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Readers on

mendeley
89 Mendeley
citeulike
2 CiteULike
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Article details
Title
Autocrine signaling based selection of combinatorial antibodies that transdifferentiate human stem cells
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2013
DOI 10.1073/pnas.1306263110
Pubmed ID
Authors
Abstract

We report here the generation of antibody agonists from intracellular combinatorial libraries that transdifferentiate human stem cells. Antibodies that are agonists for the granulocyte colony stimulating factor receptor were selected from intracellular libraries on the basis of their ability to activate signaling pathways in reporter cells. We used a specialized "near neighbor" approach in which the entire antibody library and its target receptor are cointegrated into the plasma membranes of a population of reporter cells. This format favors unusual interactions between receptors and their protein ligands and ensures that the antibody acts in an autocrine manner on the cells that produce it. Unlike the natural granulocyte-colony stimulating factor that activates cells to differentiate along a predetermined pathway, the isolated agonist antibodies transdifferentiated human myeloid lineage CD34+ bone marrow cells into neural progenitors. This transdifferentiation by agonist antibodies is different from more commonly used methods because initiation is agenetic. Antibodies that act at the plasma membrane may have therapeutic potential as agents that transdifferentiate autologous cells.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 89 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 Kingdom 3 3%
Sweden 1 1%
Japan 1 1%
Chile 1 1%
Canada 1 1%
Unknown 82 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 34 38%
Student > Ph. D. Student 12 13%
Student > Doctoral Student 7 8%
Other 6 7%
Professor > Associate Professor 6 7%
Other 13 15%
Unknown 11 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 32 36%
Biochemistry, Genetics and Molecular Biology 18 20%
Immunology and Microbiology 7 8%
Medicine and Dentistry 5 6%
Engineering 4 4%
Other 9 10%
Unknown 14 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 19 October 2022.
All research outputs
#792,832
of 34,763,505 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#12,263
of 119,650 outputs
Outputs of similar age
#4,648
of 243,575 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#103
of 1,020 outputs
Altmetric has tracked 34,763,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.2. This one has done well, scoring higher than 89% 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 243,575 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 98% of its contemporaries.
We're also able to compare this research output to 1,020 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.