Evidence map›Paper›PMID 40462902›Full record

ArticlebioRxiv : the preprint server for biology2025

CRISPRi-Linked Multi-Module Negative Feedback Loops to Address Winner-Take-All Resource Competition.

Sadikshya Rijal, Kylie Standage-Beier, Rong Zhang, Austin Stone, Abdelrahman Youssef, Xiao Wang, Xiao-Jun Tian

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

7 authors.

Sadikshya RijalSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, 85281, United States.
Kylie Standage-BeierSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, 85281, United States.
Rong ZhangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, 85281, United States.
Austin StoneSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, 85281, United States.
Abdelrahman YoussefSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, 85281, United States.
Xiao WangSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, 85281, United States.
Xiao-Jun TianSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, 85281, United States.ORCID 0000-0002-5601-2057

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

Cellular resource limitations create unintended interactions among synthetic gene circuit modules, compromising circuit modularity. This challenge is particularly pronounced in circuits with positive feedback, where uneven resource allocation can lead to Winner-Takes-All (WTA) behavior, favoring one module at the expense of others. In this study, we experimentally implemented a Negatively Competitive Regulatory (NCR) controller using CRISPR interference (CRISPRi) and evaluated its effectiveness in mitigating WTA behavior in two gene circuits: dual self-activation and cascading bistable switch. We chromosomally integrated a tunable dCas9 gene and designed module-specific gRNAs, with each module encoding its own gRNA to self-repress via competition for limited dCas9. This configuration introduces strong negative feedback to the more active module while reallocating resources to the less active one, promoting balanced module activation. Compared to the control group lacking dCas9-mediated repression, the NCR controller significantly increased module coactivation and suppressed WTA behavior. Our quantitative results demonstrate that NCR provides an effective strategy for regulating resource competition and improving the modularity of synthetic gene circuits.

Identifiers

PMID40462902
PMCPMC12132280

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.