Evidence map›Paper›PMID 36737855›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Extracellularly Detectable Electrochemical Signals of Living Cells Originate from Metabolic Reactions.

Kyeong-Mo Koo, Chang-Dae Kim, Huijung Kim, Yeon-Woo Cho, Intan Rosalina Suhito, Tae-Hyung Kim

Open access · goldFull text read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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 at 2 institutions in 2 countries.

Kyeong-Mo KooSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Chang-Dae KimSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Huijung KimSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Yeon-Woo ChoSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Intan Rosalina SuhitoSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Tae-Hyung KimSchool of Integrative Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.ORCID 0000-0003-3671-3830
Chung-Ang University · KRNational University of Singapore · SG

Funding

Korean Fund for Regenerative MedicineMinistry of Health and Welfare RS-2022-00070316Ministry of Science and ICTNational Research Foundation of Korea NRF-2019M3A9H2031820National Research Foundation of Korea NRF-2022R1A2C4002217National Research Foundation of Korea NRF-2022R1A4A2000776
6 · The paper itself

Abstract

Direct detection of cellular redox signals has shown immense potential as a novel living cell analysis tool. However, the origin of such signals remains unknown, which hinders the widespread use of electrochemical methods for cellular research. In this study, the authors found that intracellular metabolic pathways that generate adenosine triphosphate (ATP) are the main contributors to extracellularly detectable electrochemical signals. This is achieved through the detection of living cells (4,706 cells/chip, linearity: 0.985) at a linear range of 7,466-48,866. Based on this discovery, the authors demonstrated that the cellular signals detected by differential pulse voltammetry (DPV) can be rapidly amplified with a developed medium containing metabolic activator cocktails (MACs). The DPV approach combined with MAC treatment shows a remarkable performance to detect the effects of the anticancer drug CPI-613 on cervical cancer both at a low drug concentration (2 µm) and an extremely short treatment time (1 hour). Furthermore, the senescence of mesenchymal stem cells could also be sensitively quantified using the DPV+MAC method even at a low passage number (P6). Collectively, their findings unveiled the origin of redox signals in living cells, which has important implications for the characterization of various cellular functions and behaviors using electrochemical approaches.

Indexed as

Biosensing TechniquesElectrochemical TechniquesSignal Transductiondrug screeningelectrochemical detectionlive cell sensingmetabolic reactionstem cell senescence

Identifiers

PMID36737855
PMCPMC10037963
OpenAlexW4319216223

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read69
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.