Evidence map›Paper›PMID 28303788›Full record

ArticleIET systems biology2017

Dynamics and robustness of the cardiac progenitor cell induced pluripotent stem cell network during cell phenotypes transition.

Yuangen Yao, Chengzhang Ma, Haiyou Deng, Quan Liu, Wei Cao, Rong Gui, Tianquan Feng, Ming Yi

Open access · greenAbstract read
In one paragraph

Article in IET systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Yuangen YaoDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China.
Chengzhang MaDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China.
Haiyou DengDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China.
Quan LiuDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China.
Wei CaoDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China.
Rong GuiDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China.
Tianquan FengSchool of Teachers' Education, Nanjing Normal University, Nanjing, People's Republic of China.
Ming YiDepartment of Physics, College of Science, Huazhong Agricultural University, Wuhan, Hubei, People's Republic of China. yiming@mail.hzau.edu.cn.
Huazhong Agricultural University · CNNanjing Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robustness is a fundamental characteristic of biological systems since all living systems need to adapt to internal or external perturbations, unpredictable environments, stochastic events and unreliable components, and so on. A long-term challenge in systems biology is to reveal the origin of robustness underlying molecular regulator network. In this study, a simple Boolean model is used to investigate the global dynamic properties and robustness of cardiac progenitor cell (CPC) induced pluripotent stem cell network that governs reprogramming and directed differentiation process. It is demonstrated that two major attractors correspond to source and target cell phenotypes, respectively, and two dominating attracting trajectories characterise the biological pathways between two major cell phenotypes. In particular, the experimentally observed transition between different cell phenotypes can be reproduced and explained theoretically. Furthermore, the robustness of major attractors and trajectories is largely maintained with respect to small perturbations to the network. Taken together, the CPC-induced pluripotent stem cell network is extremely robustly designed for their functions.

Indexed as

Models, BiologicalAdaptation, PhysiologicalAnimalsCell DifferentiationCellular ReprogrammingComputer SimulationGene Expression Regulation, DevelopmentalHumansInduced Pluripotent Stem CellsModels, StatisticalMyocytes, CardiacPhenotype

Identifiers

PMID28303788
PMCPMC8687319
OpenAlexW2343803143

What OpenQuestion holds

Textmetadata
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.