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Selection of aptamers specific for glycated hemoglobin and total hemoglobin using on-chip SELEX

Overview of attention for article published in Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2015
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Article details
Title
Selection of aptamers specific for glycated hemoglobin and total hemoglobin using on-chip SELEX
Published in
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2015
DOI 10.1039/c4lc01124d
Pubmed ID
Authors
Abstract

Blood glycated hemoglobin (HbA1c) levels reflecting average glucose concentrations over the past three months are fundamental for the diagnosis, monitoring, and risk assessment of diabetes. It has been hypothesized that aptamers, which are single-stranded DNAs or RNAs that demonstrate high affinity to a large variety of molecules ranging from small drugs, metabolites, or proteins, could be used for the measurement of HbA1c. Aptamers are selected through an in vitro process called systematic evolution of ligands by exponential enrichment (SELEX), and they can be chemically synthesized with high reproducibility at relatively low costs. This study therefore aimed to select HbA1c- and hemoglobin (Hb)-specific single-stranded DNA aptamers using an on-chip SELEX protocol. A microfluidic SELEX chip was developed to continuously and automatically carry out multiple rounds of SELEX to screen specific aptamers for HbA1c and Hb. HbA1c and Hb were first coated onto magnetic beads. Following several rounds of selection and enrichment with a randomized 40-mer DNA library, specific oligonucleotides were selected. The binding specificity and affinity were assessed by competitive and binding assays. Using the developed microfluidic system, the incubation and partitioning times were greatly decreased, and the entire process was shortened dramatically. Both HbA1c- and Hb-specific aptamers selected by the microfluidic system showed high specificity and affinity (dissociation constant, Kd = 7.6 ± 3.0 nM and 7.3 ± 2.2 nM for HbA1c and Hb, respectively). With further refinements in the assay, these aptamers may replace the conventional antibodies for in vitro diagnostics applications in the near future.

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The data shown below were collected from the profiles of 2 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 70 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 %
China 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Researcher 13 19%
Student > Bachelor 7 10%
Student > Master 5 7%
Other 4 6%
Other 11 16%
Unknown 16 23%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 21%
Chemistry 10 14%
Engineering 10 14%
Agricultural and Biological Sciences 6 9%
Medicine and Dentistry 2 3%
Other 5 7%
Unknown 22 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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
#11,542,932
of 34,545,128 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#3,557
of 7,132 outputs
Outputs of similar age
#124,699
of 410,703 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#247
of 506 outputs
Altmetric has tracked 34,545,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 7,132 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 48th percentile – i.e., 48% 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 410,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 506 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.