Evidence map›Paper›PMID 35624584›Full record

ReviewBiosensors2022

Intein-Mediated Protein Engineering for Cell-Based Biosensors.

Chungwon Kang, Keshab Lal Shrestha, San Kwon, Seungil Park, Jinsik Kim, Youngeun Kwon

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Chungwon KangDepartment of Biomedical Engineering, Dongguk University, Seoul 04260, Korea.ORCID 0000-0002-5945-4934
Keshab Lal ShresthaDepartment of Biomedical Engineering, Dongguk University, Seoul 04260, Korea.
San KwonDepartment of Biomedical Engineering, Dongguk University, Seoul 04260, Korea.
Seungil ParkDepartment of Biomedical Engineering, Dongguk University, Seoul 04260, Korea.
Jinsik KimDepartment of Biomedical Engineering, Dongguk University, Seoul 04260, Korea.ORCID 0000-0002-9121-7031
Youngeun KwonDepartment of Biomedical Engineering, Dongguk University, Seoul 04260, Korea.ORCID 0000-0002-6568-6010

Funding

MOTIE, Korea S2021A043800034MSIT, and MOHW, Korea 2021M3E5E5096464MSIT, Korea NRF-2019R1A2C1088407
6 · The paper itself

Abstract

Cell-based sensors provide a flexible platform for screening biologically active targets and for monitoring their interactions in live cells. Their applicability extends across a vast array of biological research and clinical applications. Particularly, cell-based sensors are becoming a potent tool in drug discovery and cell-signaling studies by allowing function-based screening of targets in biologically relevant environments and enabling the in vivo visualization of cellular signals in real-time with an outstanding spatiotemporal resolution. In this review, we aim to provide a clear view of current cell-based sensor technologies, their limitations, and how the recent improvements were using intein-mediated protein engineering. We first discuss the characteristics of cell-based sensors and present several representative examples with a focus on their design strategies, which differentiate cell-based sensors from in vitro analytical biosensors. We then describe the application of intein-mediated protein engineering technology for cell-based sensor fabrication. Finally, we explain the characteristics of intein-mediated reactions and present examples of how the intein-mediated reactions are used to improve existing methods and develop new approaches in sensor cell fabrication to address the limitations of current technologies.

Indexed as

Biosensing TechniquesInteinsProtein EngineeringSignal Transductionbio-recognition elementbiosensorscell-based sensorsconditional protein splicingreporter elementsplit-intein

Identifiers

PMID35624584
PMCPMC9138240

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.