Evidence map›Paper›PMID 23874413›Full record

ArticlePloS one2013

Crucial optimization of translational components towards efficient incorporation of unnatural amino acids into proteins in mammalian cells.

Liang Xiang, Kathryn Moncivais, Faqin Jiang, Blake Willams, Lital Alfonta, Zhiwen J Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 4 institutions in 3 countries.

Liang XiangDepartment of Bioengineering, School of Engineering, Santa Clara University, Santa Clara, California, USA.
Kathryn Moncivais
Faqin Jiang
Blake Willams
Lital Alfonta
Zhiwen J Zhang
Santa Clara University · USBen-Gurion University of the Negev · ILShanghai Jiao Tong University · CNThe University of Texas at Austin · US

Funding

Regulation of structure and function of protein by glycosylationR01CA120168 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI ZHANG, ZHIWEN JONATHAN · 2008 to 2011
$1.0M
NCI NIH HHS R01 CA120168
6 · The paper itself

Abstract

The ability to site-specifically incorporate unnatural amino acids (UAAs) into proteins is a powerful tool in protein engineering. While dozens of UAAs have been successfully introduced into proteins expressed by Escherichia coli cells, it has been much more challenging to create tRNA and tRNA-Synthetase pairs that enable UAAs incorporation, for use in mammalian systems. By altering the orthogonality properties of existing unnatural pairs, previously evolved pairs for use in E. coli could be used in mammalian cells. This would bypass the cumbersome step of having to evolve mutant synthetases and would allow for the rapid development of new mammalian pairs. A major limitation to the amount of UAA-containing proteins that can be expressed in the cell is the availability of UAA-charged orthogonal suppressor tRNA. By using a natural mammalian tRNA promoter, the amount of functional suppressor tRNA can be greatly increased. Furthermore, increasing recognition of the suppressor tRNA by the mutant synthetase will ultimately lead to the appearance of more UAA-charged tRNA.

Indexed as

Protein BiosynthesisAmino AcidsAmino Acid SequenceAnimalsBase SequenceHEK293 CellsHumansMammalsMethanocaldococcusMolecular Sequence DataMutant ProteinsNucleic Acid ConformationPlasmidsPromoter Regions, GeneticProtein EngineeringProteinsAmino AcidsMutant ProteinsProteinsRNA, ArchaealRNA, TransferTyrosine-tRNA Ligase

Identifiers

PMID23874413
PMCPMC3709914
OpenAlexW2101786313

What OpenQuestion holds

Textmetadata
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.