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Enhancement of the stability of genetic switches by overlapping upstream regulatory domains

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Patrick B. Warren, Pieter Rein ten Wolde

Molecular Networks · Submitted 1 Nov 2003

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Our results suggest that robustness against biochemical noise can provide a selection pressure that drives operons, that regulate each other, together in the course of evolution.

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arXiv IDq-bio/0310041 (version 1)
Pith IDIGR5I2K6, Pith's permanent record of this paper and its review
CitationPatrick B. Warren, Pieter Rein ten Wolde. "Enhancement of the stability of genetic switches by overlapping upstream regulatory domains." arXiv:q-bio/0310041 (2003). https://pith.science/paper/IGR5I2K6
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,557 input tokens.

What the abstract itself states, as probabilities: claims first 0.02 · states limitation 0.72 · human participants 0.01 · controlled comparison 0.14 · randomized assignment 0.01 · states quantitative result 0.26 · compares with prior results 0.14 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We study genetic switches formed from pairs of mutually repressing operons. The switch stability is characterised by a well defined lifetime which grows sub-exponentially with the number of copies of the most-expressed transcription factor, in the regime accessible by our numerical simulations. The stability can be markedly enhanced by a suitable choice of overlap between the upstream regulatory domains. Our results suggest that robustness against biochemical noise can provide a selection pressure that drives operons, that regulate each other, together in the course of evolution.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We study genetic switches formed from pairs of mutually repressing operons. contribution 0.93 0.80 0.03 asserted 0.89
s1 The switch stability is characterised by a well defined lifetime which grows sub-exponentially with the number of copies of the most-expressed transcription factor, in the regime accessible by our numerical simulations. result 1.00 0.90 0.10 asserted 0.99
s2 The stability can be markedly enhanced by a suitable choice of overlap between the upstream regulatory domains. result 1.00 0.91 0.56 asserted 0.87
s3 Our results suggest that robustness against biochemical noise can provide a selection pressure that drives operons, that regulate each other, together in the course of evolution. interpretation 1.00 0.41 0.52 hedged possibility 1.00

What kind of paper the classifier reports this is: simulation study 1.00 · evidence from simulation or computation 1.00.

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  • references and citing sentences
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We study genetic switches formed from pairs of mutually repressing operons. The switch stability is characterised by a well defined lifetime which grows sub-exponentially with the number of copies of the most-expressed transcription factor, in the regime accessible by our numerical simulations. The stability can be markedly enhanced by a suitable choice of overlap between the upstream regulatory domains. Our results suggest that robustness against biochemical noise can provide a selection pressure that drives operons, that regulate each other, together in the course of evolution.

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