Evidence map›Paper›PMID 36551270›Full record

ArticleBiomolecules2022

Functional Resilience of Mutually Repressing Motifs Embedded in Larger Networks.

Pradyumna Harlapur, Atchuta Srinivas Duddu, Kishore Hari, Prakash Kulkarni, Mohit Kumar Jolly

Abstract read
In one paragraph

Article in Biomolecules, 2022. 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
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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.

Pradyumna HarlapurDepartment of Biological Sciences, Indian Institute of Science Education and Research, Bhopal 462066, India.
Atchuta Srinivas DudduCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.
Kishore HariCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0001-5655-9039
Prakash KulkarniDepartment of Medical Oncology and Experimental Therapeutics, City of Hope National Medical Center, Duarte, CA 91010, USA.
Mohit Kumar JollyCenter for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0002-6631-2109

Funding

Science and Engineering Research Board SB/S2/RJN-049/2018
6 · The paper itself

Abstract

Elucidating the design principles of regulatory networks driving cellular decision-making has important implications for understanding cell differentiation and guiding the design of synthetic circuits. Mutually repressing feedback loops between 'master regulators' of cell fates can exhibit multistable dynamics enabling "single-positive" phenotypes: (high A, low B) and (low A, high B) for a toggle switch, and (high A, low B, low C), (low A, high B, low C) and (low A, low B, high C) for a toggle triad. However, the dynamics of these two motifs have been interrogated in isolation in silico, but in vitro and in vivo, they often operate while embedded in larger regulatory networks. Here, we embed these motifs in complex larger networks of varying sizes and connectivity to identify hallmarks under which these motifs maintain their canonical dynamical behavior. We show that an increased number of incoming edges onto a motif leads to a decay in their canonical stand-alone behaviors. We also show that this decay can be exacerbated by adding self-inhibition but not self-activation loops on the 'master regulators'. These observations offer insights into the design principles of biological networks containing these motifs and can help devise optimal strategies for the integration of these motifs into larger synthetic networks.

Indexed as

Feedback, PhysiologicalGene Regulatory NetworksCell Differentiationbimodalitydynamical robustnessmultistabilitytoggle switchtoggle triad

Identifiers

PMID36551270
PMCPMC9775907

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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.