Evidence map›Paper›PMID 36874203›Full record

ArticlebioRxiv : the preprint server for biology2023

Linking genotypic and phenotypic changes in the

John S Favate, Kyle S Skalenko, Eric Chiles, Xiaoyang Su, Srujana S Yadavalli, Premal Shah

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

6 authors.

John S FavateDepartment of Genetics, Rutgers University, Piscataway, New Jersey, USA.
Kyle S SkalenkoDepartment of Genetics, Rutgers University, Piscataway, New Jersey, USA.
Eric ChilesCancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Xiaoyang SuCancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Srujana S YadavalliDepartment of Genetics, Rutgers University, Piscataway, New Jersey, USA.
Premal ShahDepartment of Genetics, Rutgers University, Piscataway, New Jersey, USA.

Funding

Small Proteins and Epitranscriptomic Factors: Emerging Mechanisms in Bacterial Gene RegulationR35GM147566 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Srujana Samhita Yadavalli · 2022 to 2026
$2.0M
Dynamics and evolution of translational regulationR35GM124976 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI SHAH, PREMAL R · 2017 to 2021
$1.9M
NIGMS NIH HHS R35 GM124976NIGMS NIH HHS R35 GM147566
6 · The paper itself

Abstract

Changes in an organism's environment, genome, or gene expression patterns can lead to changes in its metabolism. The metabolic phenotype can be under selection and contributes to adaptation. However, the networked and convoluted nature of an organism's metabolism makes relating mutations, metabolic changes, and effects on fitness challenging. To overcome this challenge, we use the Long-Term Evolution Experiment (LTEE) with

Identifiers

PMID36874203
PMCPMC9985142

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.