Evidence map›Paper›PMID 35296752›Full record

ArticleScientific reports2022

Optimizing the sensitivity and resolution of hyaluronan analysis with solid-state nanopores.

Felipe Rivas, Paul L DeAngelis, Elaheh Rahbar, Adam R Hall

Open access · greenAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

20 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. The Road Toward Nanopore Sequencing of Glycosaminoglycans.Handbook of experimental pharmacology · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Age related changes in hyaluronan expression leads to Meibomian gland dysfunction.Matrix biology : journal of the International Society for Matrix Biology · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Felipe RivasVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA.
Paul L DeAngelisDepartment of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma, OK, 73104, USA.
Elaheh RahbarVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA.
Adam R HallVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA. arhall@wakehealth.edu.
Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · USUniversity of Oklahoma Health Sciences Center · US

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Single-Molecule Processing: Detection and Identification of Single DNAs, RNAs, and Proteins using Immobilized Nanoscale Enzymatic Reactors (INERs) and Nanoscale ElectrophoresisP41EB020594 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Adam Roger Hall · 2015 to 2026
$15.2M
Solid-state nanopores for translational analysis of hyaluronan abundance and size distributionR01GM134226 · NIGMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Adam Roger Hall · 2020 to 2026
$2.3M
An Integrated Investigation of the Interaction Between PUFAs and Genetic Variants in Trauma and Critical CareK25HL133611 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RAHBAR, ELAHEH · 2017 to 2021
$841k
NCATS NIH HHS UL1 TR001420NHLBI NIH HHS K25 HL133611NIBIB NIH HHS P41 EB020594NIGMS NIH HHS R01 GM134226NIH HHS R01GM134226
6 · The paper itself

Abstract

Hyaluronan (HA) is an essential carbohydrate in vertebrates that is a potentially robust bioindicator due to its critical roles in diverse physiological functions in health and disease. The intricate size-dependent function that exists for HA and its low abundance in most biological fluids have highlighted the need for sensitive technologies to provide accurate and quantitative assessments of polysaccharide molecular weight and concentration. We have demonstrated that solid state (SS-) nanopore technology can be exploited for this purpose, given its molecular sensitivity and analytical capacity, but there remains a need to further understand the impacts of experimental variables on the SS-nanopore signal for optimal interpretation of results. Here, we use model quasi-monodisperse HA polymers to determine the dependence of HA signal characteristics on a range of SS-nanopore measurement conditions, including applied voltage, pore diameter, and ionic buffer asymmetry. Our results identify important factors for improving the signal-to-noise ratio, resolution, and sensitivity of HA analysis with SS-nanopores.

Indexed as

NanoporesAnimalsHyaluronic AcidIonsMolecular WeightSignal-To-Noise RatioHyaluronic AcidIons

Identifiers

PMID35296752
PMCPMC8927330
OpenAlexW4220933957

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.