Evidence map›Paper›PMID 39473774›Full record

ReviewChemical & biomedical imaging2024

Sensing Mechanism of Cysteine Specific Fluorescence Probes and Their Application of Cysteine Recognition.

Rizwana Asghar, Yongchuang Li, Fangjun Huo, Caixia Yin

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. FeMikrochimica acta · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. 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.

Rizwana AsgharKey Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Key Laboratory of Materials for Energy Conversion and Storage of Shanxi Province, Institute of Molecular Science, Shanxi University, Taiyuan 030006, China.
Yongchuang LiResearch Institute of Applied Chemistry, Shanxi University, Taiyuan 030006, China.
Fangjun HuoResearch Institute of Applied Chemistry, Shanxi University, Taiyuan 030006, China.
Caixia YinKey Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Key Laboratory of Materials for Energy Conversion and Storage of Shanxi Province, Institute of Molecular Science, Shanxi University, Taiyuan 030006, China.ORCID https://orcid.org/0000-0001-5548-6333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the biological importance of cysteine (Cys), the development of organic fluorescence probes for Cys has been a wide, potent, and outstanding research field in most recent years. It has been used as a biomarker in treating various diseases; therefore, developing a sensing mechanism for detecting Cys is very important. In this Review, we focus on and summarize the specific results of recent exciting literature regarding the sensing mechanism of Cys-specific fluorescence probes and their applications in Cys recognition. Moreover, a design strategy of the sensing mechanism of Cys can be classified into seven reaction mechanisms, including the aromatic substitution rearrangement reaction, cyclization of aldehyde, Michael addition reaction, Se-N or S-S or bond cleavage reaction, addition cyclization of acrylate, metal complex reaction, and nucleophilic substitution reaction. In all sections, discussions have corresponded to Cys-specific sensing mechanisms, which consist of emission, color changes, and detection limits and deal with the application and recognition sites of molecules. Future directions and challenges have been proposed for the preparation of Cys-specific probes.

Identifiers

PMID39473774
PMCPMC11504543

What OpenQuestion holds

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Registered trials

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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.