Evidence map›Paper›PMID 42420734›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

From Negative Feedback to Integrated Control: Recombinase-Based Strategies for Mitigating Resource Competition.

Rixin Zhang, Rong Zhang, Xiao-Jun Tian

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rixin ZhangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Rong ZhangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Xiao-Jun TianSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA. xiaojun.tian@asu.edu.

Funding

Multi-Scale Engineering of Heterogeneity in the Host-Aware Synthetic Gene CircuitsR35GM142896 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI TIAN, XIAOJUN · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM142896
6 · The paper itself

Abstract

One of the key challenges in synthetic biology is the unintended interference between independently designed gene modules caused by resource competition within host cells. This interference disrupts circuit modularity and undermines the reliability of genetic systems. In this chapter, we discussed the developments of recombinase-based control strategies to address these challenges. We first describe a negative feedback controller, Re-NF controller, that leverages recombinase-mediated promoter flipping to automatically adjust circuit activity in response to resource usage, thereby stabilizing module performance under fluctuating cellular conditions. Building on this foundation, we introduce the Re-NF-FF controller, which integrates both negative feedback and feedforward regulation through a single recombinase-mediated promoter flipping. This dual strategy effectively balances resource allocation, reduces crosstalk, and improves predictability across diverse circuit contexts. We outline the design principles of both controllers, review their performance in controlling modular circuits, and discuss their implications for synthetic biology. Together, these strategies illustrate how recombinase-based regulation can be harnessed to enhance robustness, predictability, and modularity in the engineering of genetic systems.

Indexed as

Gene Regulatory NetworksPromoter Regions, GeneticRecombinasesSynthetic BiologyGenetic EngineeringModels, TheoreticalRecombinasesCircuit modularityGene circuit designPromoter flippingResource controllerResource decoupling

Identifiers

PMID42420734
PMCPMC13532544

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.