Evidence map›Paper›PMID 32623339›Full record

ArticleiScience2020

Detection of Lipase Activity in Cells by a Fluorescent Probe Based on Formation of Self-Assembled Micelles.

Zhen Qiao, Hongyi Zhang, Yanru Zhang, KeWei Wang

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 1 institution in 1 country.

Zhen QiaoDepartment of Medicinal Chemistry, Qingdao University School of Pharmacy, 308 Ningxia Road, Qingdao 266071, China.
Hongyi ZhangDepartment of Medicinal Chemistry, Qingdao University School of Pharmacy, 308 Ningxia Road, Qingdao 266071, China.
Yanru ZhangDepartment of Medicinal Chemistry, Qingdao University School of Pharmacy, 308 Ningxia Road, Qingdao 266071, China; Institue of Innovative Drug Discovery, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. Electronic address: yanru.zhang@qdu.edu.cn.
KeWei WangDepartment of Pharmacology, Qingdao University School of Pharmacy, 308 Ningxia Road, Qingdao 266071, China; Institue of Innovative Drug Discovery, Qingdao University, 38 Dengzhou Road, Qingdao 266021, China. Electronic address: wangkw@qdu.edu.cn.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable and sensitive detection of lipase activity is essential for the early diagnosis and monitoring of acute pancreatitis or progression of digestive diseases. However, the available fluorescent probes for detection of lipase activity are only implemented in a hexane-water two-phase system due to the nature of heterogeneous catalysis of lipase, thus limiting their applications in direct imaging of lipase activity in living cells and tissues. Here we designed and synthesized a "turn on" fluorescent probe CPP based on self-assembled micelles for hydrolysis of lipase. The CPP probe exhibits high selectivity and excellent sensitivity for the detection of lipase in such a homogeneous system and is successfully applied for monitoring lipase activity in pancreatic AR42J cells, tissues, and serums. Taken together, the fluorescent CPP probe not only provides a tool for diagnostic potential in pancreatic disease but also demonstrates an application potential for micelle self-assembly-based development of biological probes.

Indexed as

BiocatalysisBiophysical ChemistryBiophysics

Identifiers

PMID32623339
PMCPMC7334599
OpenAlexW3036425981

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.