Evidence map›Paper›PMID 29322934›Full record

ArticleBMC systems biology2017

Computational analysis reveals the coupling between bistability and the sign of a feedback loop in a TGF-β1 activation model.

Huipeng Li, Lakshmi Venkatraman, Balakrishnan Chakrapani Narmada, Jacob K White, Hanry Yu, Lisa Tucker-Kellogg

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2017. 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
0.7field-weighted citation impact, top 30% 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, 9 citations in OpenAlex.

  1. Article
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  4. A bioinformatics potpourri.BMC genomics · 2018
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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

6 authors at 4 institutions in 2 countries.

Huipeng LiComputational and Systems Biology Program, Singapore-MIT Alliance, Singapore, 117576, Singapore.
Lakshmi VenkatramanComputational and Systems Biology Program, Singapore-MIT Alliance, Singapore, 117576, Singapore.
Balakrishnan Chakrapani NarmadaMechanobiology Institute, National University of Singapore, Singapore, 117411, Singapore.
Jacob K WhiteComputational and Systems Biology Program, Singapore-MIT Alliance, Singapore, 117576, Singapore.
Hanry YuComputational and Systems Biology Program, Singapore-MIT Alliance, Singapore, 117576, Singapore. hanry_yu@nuhs.edu.sg.
Lisa Tucker-KelloggComputational and Systems Biology Program, Singapore-MIT Alliance, Singapore, 117576, Singapore. Lisa.Tucker-Kellogg@duke-nus.edu.sg.
National University of Singapore · SGInstitute of Bioengineering and Nanotechnology · SGMassachusetts Institute of Technology · USSingapore-MIT Alliance for Research and Technology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBistable behaviors are prevalent in cell signaling and can be modeled by ordinary differential equations (ODEs) with kinetic parameters. A bistable switch has recently been found to regulate the activation of transforming growth factor-β1 (TGF-β1) in the context of liver fibrosis, and an ordinary differential equation (ODE) model was published showing that the net activation of TGF-β1 depends on the balance between two antagonistic sub-pathways.

resultsThrough modeling the effects of perturbations that affect both sub-pathways, we revealed that bistability is coupled with the signs of feedback loops in the model. We extended the model to include calcium and Krüppel-like factor 2 (KLF2), both regulators of Thrombospondin-1 (TSP1) and Plasmin (PLS). Increased levels of extracellular calcium, which alters the TSP1-PLS balance, would cause high levels of TGF-β1, resembling a fibrotic state. KLF2, which suppresses production of TSP1 and plasminogen activator inhibitor-1 (PAI1), would eradicate bistability and preclude the fibrotic steady-state. Finally, the loop PLS - TGF-β1 - PAI1 had previously been reported as negative feedback, but the model suggested a stronger indirect effect of PLS down-regulating PAI1 to produce positive (double-negative) feedback in a fibrotic state. Further simulations showed that activation of KLF2 was able to restore negative feedback in the PLS - TGF-β1 - PAI1 loop.

conclusionsUsing the TGF-β1 activation model as a case study, we showed that external factors such as calcium or KLF2 can induce or eradicate bistability, accompanied by a switch in the sign of a feedback loop (PLS - TGF-β1 - PAI1) in the model. The coupling between bistability and positive/negative feedback suggests an alternative way of characterizing a dynamical system and its biological implications.

Indexed as

Feedback, PhysiologicalModels, BiologicalCalciumSignal TransductionTransforming Growth Factor beta1CalciumTransforming Growth Factor beta1Bifurcation analysisBiochemical networkBistabilityComputational modellingDynamical systemsODEsPositive feedbackTGF-β1

Identifiers

PMID29322934
PMCPMC5763301
OpenAlexW2780481776

What OpenQuestion holds

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LicenceCC BY
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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.