Evidence map›Paper›PMID 30411046›Full record

ArticleACS omega2018

RNA Aptamers with Specificity for Heparosan and Chondroitin Glycosaminoglycans.

Megan Kizer, Peiqin Li, Brady F Cress, Lei Lin, Tom T Jing, Xing Zhang, Ke Xia, Robert J Linhardt, Xing Wang

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Megan KizerDepartment of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Avenue, Troy, New York 12180, United States.
Peiqin LiDepartment of Forest Pathology, College of Forestry, Northwest A&F University, Yangling 712100, Shaanxi, China.
Brady F CressDepartment of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Avenue, Troy, New York 12180, United States.
Lei LinDepartment of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Avenue, Troy, New York 12180, United States.
Tom T JingDepartment of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Avenue, Troy, New York 12180, United States.
Xing ZhangDepartment of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Avenue, Troy, New York 12180, United States.
Ke XiaDepartment of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Avenue, Troy, New York 12180, United States.
Robert J LinhardtDepartment of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Avenue, Troy, New York 12180, United States.
Xing WangDepartment of Chemistry and Chemical Biology, Department of Biology, Department of Chemical and Biological Engineering, Department of Biomedical Engineering, and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8th Avenue, Troy, New York 12180, United States.
Rensselaer Polytechnic Institute · USNorthwest A&F University · CN

Funding

Endothelial glycocalyx reconstitution during sepsisR01HL125371 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI LINHARDT, ROBERT J, SCHMIDT, ERIC PETER · 2014 to 2018
$3.4M
NHLBI NIH HHS R01 HL125371
6 · The paper itself

Abstract

In this study, two respective groups of RNA aptamers have been selected against two main classes of glycosaminoglycans (GAGs), heparosan, and chondroitin, as they have proven difficult to specifically detect in biological samples. GAGs are linear, anionic, polydisperse polysaccharides found ubiquitously in nature, yet their detection remains problematic. GAGs comprised repeating disaccharide units, consisting of uronic acid and hexosamine residues that are often also sulfated at various positions. Monoclonal antibodies are frequently used in biology and medicine to recognize various biological analytes with high affinity and specificity. However, GAGs are conserved across the whole animal phylogenic tree and are nonimmunogenic in hosts traditionally used for natural antibody generation. Thus, it has been challenging to obtain high affinity, selective antibodies that recognize various GAGs. In the absence of anti-GAG antibodies, glycobiologists have relied on the use of specific enzymes to convert GAGs to oligosaccharides for analysis by mass spectrometry. Unfortunately, while these methods are sensitive, they can be labor-intensive and cannot be used for in situ detection of intact GAGs in cells and tissues. Aptamers are single-stranded oligonucleotide (DNA or RNA) ligands capable of high selectivity and high affinity detection of biological analytes. Aptamers can be developed in vitro by the systematic evolution of ligands by exponential enrichment (SELEX) to recognize nonimmunogenic targets, including neutral carbohydrates. This study utilizes the SELEX method to generate RNA aptamers, which specifically bind to the unmodified GAGs, heparosan, and chondroitin. Binding confirmation and cross-screening with other GAGs were performed using confocal microscopy to afford three specific GAGs to each target. Affinity constant of each RNA aptamer was obtained by fluorescent output after interaction with the respective GAG target immobilized on plates; the

Identifiers

PMID30411046
PMCPMC6210061
OpenAlexW2897745938

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.