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Construction of single-chain variable fragment antibodies against MCF-7 breast cancer cells

Overview of attention for article published in Genetics and Molecular Research, January 2013
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Title
Construction of single-chain variable fragment antibodies against MCF-7 breast cancer cells
Published in
Genetics and Molecular Research, January 2013
DOI 10.4238/2013.november.18.5
Pubmed ID
Authors

A A Zuhaida, A M Ali, S Tamilselvan, N B Alitheen, M Hamid, A M Noor, S K Yeap

Abstract

A phage display library of single chain variable fragment (scFv) against MCF-7 breast cancer cells was constructed from C3A8 hybridoma cells. RNA from the C3A8 was isolated, cDNA was constructed, and variable heavy and light immunoglobulin chain gene region were amplified using PCR. The variable heavy and light chain gene regions were combined with flexible linker, linked to a pCANTAB 5E phagemid vector and electrophoresed into supE strain of Escherichia coli TG1 cells. Forty-eight clones demonstrated positive binding activity to MCF-7 breast cancer cell membrane fragments and the strongest of 48 clones was selected for analysis. The anti-MCF-7 library evaluated by SfiI and NotI digests demonstrated that anti-MCF-7 scFv antibodies possess individual patterns that should be able to recognize distinct human breast cancer cells. The C3A8 scFv, with an apparent molecular weight of 32 kDa, showed high homology (99%) with single chain antibody against rice stripe virus protein P20. In summary, the anti MCF-7 scFv antibody can be used for pretargeting breast cancer for clinical diagnosis of patients; it also has potential for therapeutic applications.

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The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Master 3 18%
Student > Ph. D. Student 2 12%
Student > Doctoral Student 1 6%
Other 1 6%
Other 3 18%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Agricultural and Biological Sciences 4 24%
Medicine and Dentistry 1 6%
Unknown 6 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 November 2014.
All research outputs
#20,245,139
of 22,772,779 outputs
Outputs from Genetics and Molecular Research
#1,157
of 1,790 outputs
Outputs of similar age
#248,961
of 280,940 outputs
Outputs of similar age from Genetics and Molecular Research
#68
of 89 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,790 research outputs from this source. They receive a mean Attention Score of 1.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 280,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.