Evidence map›Paper›PMID 31542414›Full record

ArticleCell systems2019

Network Topologies That Can Achieve Dual Function of Adaptation and Noise Attenuation.

Lingxia Qiao, Wei Zhao, Chao Tang, Qing Nie, Lei Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 85 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Lingxia QiaoBeijing International Center for Mathematical Research, Peking University, Beijing 100871, China.
Wei ZhaoCenter for Quantitative Biology, Peking University, Beijing 100871, China.
Chao TangCenter for Quantitative Biology, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China. Electronic address: tangc@pku.edu.cn.
Qing NieDepartment of Mathematics and Department of Developmental & Cell Biology, NSF-Simons Center for Multiscale Cell Fate Research, University of California Irvine, Irvine, CA 92697, USA. Electronic address: qnie@uci.edu.
Lei ZhangBeijing International Center for Mathematical Research, Peking University, Beijing 100871, China; Center for Quantitative Biology, Peking University, Beijing 100871, China. Electronic address: zhangl@math.pku.edu.cn.
Peking University · CNPeking University International Hospital · CNUniversity of California, Irvine · US

Funding

Multiscale Models of Wound Cell Plasticity for RegenerationU01AR073159 · NIAMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DAI, XING, NIE, QING · 2018 to 2022
$3.5M
Stochastic Dynamics and Noise Control in Patterning SystemsR01GM107264 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI NIE, QING, SCHILLING, THOMAS F · 2014 to 2017
$1.3M
NIAMS NIH HHS U01 AR073159NIGMS NIH HHS R01 GM107264
6 · The paper itself

Abstract

Many signaling systems execute adaptation under circumstances that require noise attenuation. Here, we identify an intrinsic trade-off existing between sensitivity and noise attenuation in the three-node networks. We demonstrate that although fine-tuning timescales in three-node adaptive networks can partially mediate this trade-off in this context, it prolongs adaptation time and imposes unrealistic parameter constraints. By contrast, four-node networks can effectively decouple adaptation and noise attenuation to achieve dual function without a trade-off, provided that these functions are executed sequentially. We illustrate ideas in seven biological examples, including Dictyostelium discoideum chemotaxis and the p53 signaling network and find that adaptive networks are often associated with a noise attenuation module. Our approach may be applicable to finding network design principles for other dual and multiple functions.

Indexed as

Models, TheoreticalAdaptation, BiologicalAnimalsChemotaxisComputational BiologyComputer SimulationDictyosteliumHumansModels, BiologicalNeural Networks, ComputerSignal TransductionTumor Suppressor Protein p53Tumor Suppressor Protein p53adaptationdesign principledual functionnetwork topologynoise attenuationtimescaletrade-off

Identifiers

PMID31542414
PMCPMC6768439
OpenAlexW2973361953

What OpenQuestion holds

Textmetadata
LicenceTDM
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.