Evidence map›Paper›PMID 38274121›Full record

ArticlePNAS nexus2024

Unraveling the complex dynamics of signaling molecules in cellular signal transduction.

Shenqing Wang, Yi Zhang, Liangwei Zhang, Yan Huang, Jie Zhang, Kena Zhang, Yujie Huang, Gaoxing Su, Lingxin Chen, Bing Yan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

10 authors.

Shenqing WangInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Yi ZhangInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Liangwei ZhangCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Yan HuangCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.ORCID https://orcid.org/0009-0000-9753-6052
Jie ZhangInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.ORCID https://orcid.org/0009-0007-6255-231X
Kena ZhangInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Yujie HuangInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Gaoxing SuSchool of Pharmacy, Nantong University, Nantong, Jiangsu 226001, China.
Lingxin ChenCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.ORCID https://orcid.org/0000-0002-3764-3515
Bing YanInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.ORCID https://orcid.org/0000-0002-7970-6764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signaling molecules in cellular responses to foreign stimuli are described as static up- or down-concentration changes during signal transduction. This is because analytical methods for transducing molecules are much slower than the signaling events. In this study, we develop a dynamic cell model and reveal the temporal regulation of signal transduction events in response to reactive oxygen species (ROS). The model contained a set of 10 batches of redox-modified cells that mimic the temporal ROS accumulation events. Validating this dynamic cell model, we discover that cells survive early ROS attacks by activating the Nrf2/polysulfide/p62/CDK1 pathway. Nearly all signaling molecules exhibit time-dependent V-shape or inverse V-shape activation/feedback regulation dynamics in response to ROS accumulation. The results show that the dynamic cell model approach is invaluable for revealing complex signal intensity- and time-dependent cell signaling events.

Indexed as

cell homeostasisoxidative gradientpolysulfidesredox biologysignaling

Identifiers

PMID38274121
PMCPMC10810328

What OpenQuestion holds

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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.