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An on-chip Cell-SELEX process for automatic selection of high-affinity aptamers specific to different histologically classified ovarian cancer cells

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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1 X user
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5 patents

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90 Mendeley
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Article details
Title
An on-chip Cell-SELEX process for automatic selection of high-affinity aptamers specific to different histologically classified ovarian cancer cells
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, August 2014
DOI 10.1039/c4lc00587b
Pubmed ID
Authors
Abstract

Ovarian cancer (OvCa) is the second most common type of gynecological cancer. More seriously, the prognosis for survival is relatively poor if an early OvCa diagnosis is not achieved. However, it is extremely challenging to diagnose very early stage OvCa, when treatments are the most effective, because of the lack of specific and sensitive biomarkers. Therefore, in order to achieve early detection of OvCa, screening and identifying biomarkers with high specificity and affinity are greatly needed. In this study, an integrated microfluidic system capable of performing cell-based systematic evolution of ligands by an exponential enrichment (Cell-SELEX) process was developed for automatic, high-throughput screening of multiple cell lines to competitively select aptamer-based biomarkers for OvCa. This on-chip Cell-SELEX process only required five rounds of aptamer selection, which is much faster than using a conventional SELEX process (22 rounds). Using this on-chip process, 13 aptamers specific to OvCa cells were successfully screened and three of them showed high affinity towards target cells with dissociation constants of 1.8 nM, 8.3 nM, and 1.3 nM. Analysis of stained fluorescence images and competitive testing against multiple cancer cell lines (cervical cancer, breast cancer, lung cancer, and liver cancer) were performed to verify the specificity of these selected aptamers. The results demonstrated that this developed system could perform the on-chip Cell-SELEX selection successfully and could be applied for personalized aptamer screening or targeted therapy monitoring in the near future.

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X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 90 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 %
Spain 1 1%
Germany 1 1%
China 1 1%
Unknown 87 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 28%
Researcher 16 18%
Student > Bachelor 10 11%
Student > Master 9 10%
Student > Doctoral Student 4 4%
Other 6 7%
Unknown 20 22%
Readers by discipline
Readers by discipline Count As %
Engineering 15 17%
Biochemistry, Genetics and Molecular Biology 14 16%
Agricultural and Biological Sciences 14 16%
Medicine and Dentistry 8 9%
Chemistry 7 8%
Other 6 7%
Unknown 26 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 September 2021.
All research outputs
#7,438,694
of 34,360,257 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#2,255
of 7,112 outputs
Outputs of similar age
#59,918
of 273,060 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#15
of 50 outputs
Altmetric has tracked 34,360,257 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,112 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 67% 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 273,060 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 77% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.