Evidence map›Paper›PMID 34599251›Full record

ArticleScientific reports2021

Label-free fiber-optic spherical tip biosensor to enable picomolar-level detection of CD44 protein.

Aliya Bekmurzayeva, Zhannat Ashikbayeva, Zhuldyz Myrkhiyeva, Aigerim Nugmanova, Madina Shaimerdenova, Takhmina Ayupova, Daniele Tosi

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.3field-weighted citation impact, top 5% 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, 53 citations in OpenAlex.

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  19. Monitoring and modulation of the tumor microenvironment for enhanced cancer modeling.Experimental biology and medicine (Maywood, N.J.) · 2022
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Aliya Bekmurzayeva *School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan. abekmurzayeva@nu.edu.kz.
Zhannat Ashikbayeva *School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan. zhashikbayeva@nu.edu.kz.
Zhuldyz MyrkhiyevaSchool of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Aigerim NugmanovaSchool of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Madina ShaimerdenovaSchool of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Takhmina AyupovaSchool of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Daniele TosiSchool of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Nazarbayev University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased level of CD44 protein in serum is observed in several cancers and is associated with tumor burden and metastasis. Current clinically used detection methods of this protein are time-consuming and use labeled reagents for analysis. Therefore exploring new label-free and fast methods for its quantification including its detection in situ is of importance. This study reports the first optical fiber biosensor for CD44 protein detection, based on a spherical fiber optic tip device. The sensor is easily fabricated from an inexpensive material (single-mode fiber widely used in telecommunication) in a fast and robust manner through a CO

Indexed as

Fiber Optic TechnologyOptical FibersBiosensing TechniquesEquipment DesignHumansHyaluronan ReceptorsSensitivity and SpecificityCD44 protein, humanHyaluronan Receptors

Identifiers

PMID34599251
PMCPMC8486867
OpenAlexW3202717434

What OpenQuestion holds

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LicenceCC BY
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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.