| Title |
Post-translational modifications in tumor biomarkers: the next challenge for aptamers?
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, January 2018
|
| DOI | 10.1007/s00216-018-0861-9 |
| Pubmed ID | |
| Authors |
Ana Díaz-Fernández, Rebeca Miranda-Castro, Noemí de-los-Santos-Álvarez, María Jesús Lobo-Castañón |
| Abstract |
Advances in proteomics have fueled the search for novel cancer biomarkers with higher selectivity. Differential expression of low abundant proteins has been the usual way of finding those biomarkers. The existence of a selective receptor for each biomarker is compulsory for their use in diagnostic/prognostic assays. Antibodies are the receptors of choice in most cases although aptamers are becoming familiar because of their facile and reproducible synthesis, chemical stability as well as comparable affinity and selectivity. In recent years, it has been reported that the pattern of post-translational modifications, altered under neoplastic disease, is a better predictive biomarker than the total protein level. Among others, abnormal glycosylation is attracting great attention. Lectins and antibodies are being used for identification and detection of the carbohydrate moiety with low level of discrimination among various glycoproteins. Such level of selectivity is critical to bring next-generation biomarkers to the clinic. Aptamers that can be rationally tailored for a certain molecule domain can become the golden receptor to specifically detect aberrant glycosylation at each protein or even at each glycosylation site, providing new diagnostic tools for early detection of cancer. Graphical abstract Aptamers may specifically differentiate normal from aberrant glycoproteins. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 8 | 16% |
| Student > Bachelor | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Chemistry | 6 | 12% |
| Agricultural and Biological Sciences | 6 | 12% |
| Medicine and Dentistry | 4 | 8% |
| Engineering | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 14 | 27% |
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 28 February 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,671
of 9,619 outputs
Outputs of similar age
#285,126
of 450,862 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#83
of 197 outputs
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We're also able to compare this research output to 197 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 53% of its contemporaries.