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An Efficient Electroporation Protocol for the Genetic Modification of Mammalian Cells

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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1 news outlet
blogs
1 blog
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7 X users

Citations

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60 Dimensions

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278 Mendeley
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Title
An Efficient Electroporation Protocol for the Genetic Modification of Mammalian Cells
Published in
Frontiers in Bioengineering and Biotechnology, January 2017
DOI 10.3389/fbioe.2016.00099
Pubmed ID
Authors

Leonardo Chicaybam, Camila Barcelos, Barbara Peixoto, Mayra Carneiro, Cintia Gomez Limia, Patrícia Redondo, Carla Lira, Flávio Paraguassú-Braga, Zilton Farias Meira De Vasconcelos, Luciana Barros, Martin Hernán Bonamino

Abstract

Genetic modification of cell lines and primary cells is an expensive and cumbersome approach, often involving the use of viral vectors. Electroporation using square-wave generating devices, like Lonza's Nucleofector, is a widely used option, but the costs associated with the acquisition of electroporation kits and the transient transgene expression might hamper the utility of this methodology. In the present work, we show that our in-house developed buffers, termed Chicabuffers, can be efficiently used to electroporate cell lines and primary cells from murine and human origin. Using the Nucleofector II device, we electroporated 14 different cell lines and also primary cells, like mesenchymal stem cells and cord blood CD34+, providing optimized protocols for each of them. Moreover, when combined with sleeping beauty-based transposon system, long-term transgene expression could be achieved in all types of cells tested. Transgene expression was stable and did not interfere with CD34+ differentiation to committed progenitors. We also show that these buffers can be used in CRISPR-mediated editing of PDCD1 gene locus in 293T and human peripheral blood mononuclear cells. The optimized protocols reported in this study provide a suitable and cost-effective platform for the genetic modification of cells, facilitating the widespread adoption of this technology.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 278 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 17%
Student > Ph. D. Student 43 15%
Student > Bachelor 40 14%
Student > Master 33 12%
Other 16 6%
Other 27 10%
Unknown 72 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 92 33%
Agricultural and Biological Sciences 40 14%
Immunology and Microbiology 19 7%
Medicine and Dentistry 12 4%
Engineering 12 4%
Other 29 10%
Unknown 74 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 13 July 2023.
All research outputs
#1,862,975
of 24,068,839 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#204
of 7,585 outputs
Outputs of similar age
#39,963
of 425,724 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#2
of 22 outputs
Altmetric has tracked 24,068,839 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,585 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 425,724 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 90% of its contemporaries.
We're also able to compare this research output to 22 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 95% of its contemporaries.