Evidence map›Paper›PMID 33653272›Full record

ArticleBMC genomics2021

Massively parallel gene expression variation measurement of a synonymous codon library.

Alexander Schmitz, Fuzhong Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

13 citing papers in PubMed, 19 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Alexander SchmitzDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA.
Fuzhong ZhangDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA. fzhang@seas.wustl.edu.ORCID http://orcid.org/0000-0001-6979-7909
Washington University in St. Louis · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOMIC SCIENCET32HG000045 · NHGRI · WASHINGTON UNIVERSITY · PI MICHAEL R BRENT, Barak A Cohen · 1997 to 2026
$8.4M
Supplement for Purchase of a Cell Sorter for R35GM133797R35GM133797 · NIGMS · WASHINGTON UNIVERSITY · PI ZHANG, FUZHONG · 2019 to 2023
$2.2M
GENOMIC ANALYSES OF DROSOPHILA DEVELOPMENTK22HG000045 · NHGRI · YALE UNIVERSITY · PI WHITE, KEVIN P · 2000 to 2004
$1.3M
NHGRI NIH HHS HG000045NHGRI NIH HHS K22 HG000045NHGRI NIH HHS T32 HG000045NIGMS NIH HHS R35 GM133797NIGMS NIH HHS R35GM133797
6 · The paper itself

Abstract

backgroundCell-to-cell variation in gene expression strongly affects population behavior and is key to multiple biological processes. While codon usage is known to affect ensemble gene expression, how codon usage influences variation in gene expression between single cells is not well understood.

resultsHere, we used a Sort-seq based massively parallel strategy to quantify gene expression variation from a green fluorescent protein (GFP) library containing synonymous codons in Escherichia coli. We found that sequences containing codons with higher tRNA Adaptation Index (TAI) scores, and higher codon adaptation index (CAI) scores, have higher GFP variance. This trend is not observed for codons with high Normalized Translation Efficiency Index (nTE) scores nor from the free energy of folding of the mRNA secondary structure. GFP noise, or squared coefficient of variance (CV

conclusionsOur results suggest that the main source of noise for high-abundance proteins is likely not originating at translation elongation. Additionally, the drastic change in mean protein abundance with small changes in protein noise seen from our library implies that codon optimization can be performed without concerning gene expression noise for biotechnology applications.

Indexed as

Protein BiosynthesisRNA, TransferCodonCodon UsageEscherichia coliCodonRNA, TransferCodon usageGene expression variationProtein abundanceSingle-cellSort-seq

Identifiers

PMID33653272
PMCPMC7927243
OpenAlexW3134475766

What OpenQuestion holds

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LicenceCC BY
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.