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Engineering cells with intracellular agent–loaded microparticles to control cell phenotype

Overview of attention for article published in Nature Protocols, January 2014
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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 (90th percentile)

Mentioned by

news
4 news outlets
twitter
5 X users
patent
2 patents
facebook
1 Facebook page
reddit
1 Redditor

Readers on

mendeley
167 Mendeley
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Article details
Title
Engineering cells with intracellular agent–loaded microparticles to control cell phenotype
Published in
Nature Protocols, January 2014
DOI 10.1038/nprot.2014.002
Pubmed ID
Authors
Abstract

Cell therapies enable unprecedented treatment options to replace tissues, destroy tumors and facilitate regeneration. The greatest challenge facing cell therapy is the inability to control the fate and function of cells after transplantation. We have developed an approach to control cell phenotype in vitro and after transplantation by engineering cells with intracellular depots that continuously release phenotype-altering agents for days to weeks. The platform enables control of cells' secretome, viability, proliferation and differentiation, and the platform can be used to deliver drugs or other factors (e.g., dexamethasone, rhodamine and iron oxide) to the cell's microenvironment. The preparation, efficient internalization and intracellular stabilization of ∼1-μm drug-loaded microparticles are critical for establishing sustained control of cell phenotype. Herein we provide a protocol to generate and characterize micrometer-sized agent-doped poly(lactic-co-glycolic) acid (PLGA) particles by using a single-emulsion evaporation technique (7 h), to uniformly engineer cultured cells (15 h), to confirm particle internalization and to troubleshoot commonly experienced obstacles.

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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 167 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 3 2%
Canada 2 1%
Russia 1 <1%
India 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Unknown 157 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 42 25%
Researcher 31 19%
Student > Master 17 10%
Student > Bachelor 16 10%
Student > Doctoral Student 14 8%
Other 25 15%
Unknown 22 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 40 24%
Engineering 34 20%
Biochemistry, Genetics and Molecular Biology 20 12%
Medicine and Dentistry 14 8%
Chemistry 12 7%
Other 23 14%
Unknown 24 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 24 December 2019.
All research outputs
#1,379,605
of 33,212,904 outputs
Outputs from Nature Protocols
#350
of 3,451 outputs
Outputs of similar age
#12,878
of 362,926 outputs
Outputs of similar age from Nature Protocols
#4
of 43 outputs
Altmetric has tracked 33,212,904 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. 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 362,926 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 43 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 90% of its contemporaries.