Evidence map›Paper›PMID 40372434›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Transcriptomic and proteomic ramifications of segmental amplification in

Ryan K Fritts, Christopher C Ebmeier, Shelley D Copley

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Ryan K FrittsDepartment of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder 80309, CO.ORCID 0000-0002-5528-4982
Christopher C EbmeierDepartment of Biochemistry, University of Colorado Boulder, Boulder 80309, CO.ORCID 0000-0001-7940-6190
Shelley D CopleyDepartment of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder 80309, CO.ORCID 0000-0001-9727-7919

Funding

Gene duplication and divergence: the bigger pictureR01GM134044 · NIGMS · UNIVERSITY OF COLORADO · PI COPLEY, SHELLEY D. · 2019 to 2022
$1.4M
Q Exactive HF Nanoflow LC Mass Spectrometry SystemS10OD025267 · OD · UNIVERSITY OF COLORADO · PI AHN, NATALIE G. · 2018 to 2018
$600k
Segmental amplification: the collateral effects of co-amplifying genes near a gene under selection for higher dosageF32GM143927 · NIGMS · UNIVERSITY OF COLORADO · PI FRITTS, RYAN K · 2021 to 2022
$134k
HHS | NIH (NIH) F32GM143927HHS | NIH (NIH) R01GM134044HHS | NIH (NIH) S10-OD025267NIGMS NIH HHS F32 GM143927NIGMS NIH HHS R01 GM134044NIH HHS S10 OD025267
6 · The paper itself

Abstract

Gene amplification can drive adaptation by rapidly increasing the cellular dosage of critical gene products. Segmental amplifications often encompass large genomic regions surrounding the gene(s) under selection for higher dosage. Overexpression of coamplified neighboring genes imposes a substantial metabolic burden. While compensatory mutations can decrease inappropriate overexpression of coamplified genes, it takes time for such mutations to arise. The extent to which intrinsic regulatory mechanisms modulate expression of coamplified genes in the immediate aftermath of segmental amplification is largely unknown. To address the collateral effects of segmental amplification, we evolved replicate cultures of an

Indexed as

Escherichia coliGene AmplificationTranscriptomeEscherichia coli ProteinsGene DosageGene Expression Regulation, BacterialMutationProteomicsEscherichia coli Proteinsgene duplicationlaboratory evolutionLon proteaseProAsegmental amplification

Identifiers

PMID40372434
PMCPMC12107188

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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.