Evidence map›Paper›PMID 24790976›Full record

ReviewFrontiers in chemistry2014

Genetic code expansion as a tool to study regulatory processes of transcription.

Moritz J Schmidt, Daniel Summerer

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Expanding the Genetic Code ofACS chemical biology · 2024
    Article
  3. Bacterial protein acetylation: mechanisms, functions, and methods for study.Frontiers in cellular and infection microbiology · 2024
    Review
  4. Chemically Acylated tRNAs are Functional in Zebrafish Embryos.Journal of the American Chemical Society · 2023
    Article
  5. 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

2 authors.

Moritz J SchmidtDepartment of Chemistry, Zukunftskolleg and Konstanz Research School Chemical Biology, University of Konstanz Konstanz, Germany.
Daniel SummererDepartment of Chemistry, Zukunftskolleg and Konstanz Research School Chemical Biology, University of Konstanz Konstanz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expansion of the genetic code with non-canonical amino acids (ncAA) enables the chemical and biophysical properties of proteins to be tailored, inside cells, with a previously unattainable level of precision. A wide range of ncAA with functions not found in canonical amino acids have been genetically encoded in recent years and have delivered insights into biological processes that would be difficult to access with traditional approaches of molecular biology. A major field for the development and application of novel ncAA-functions has been transcription and its regulation. This is particularly attractive, since advanced DNA sequencing- and proteomics-techniques continue to deliver vast information on these processes on a global level, but complementing methodologies to study them on a detailed, molecular level and in living cells have been comparably scarce. In a growing number of studies, genetic code expansion has now been applied to precisely control the chemical properties of transcription factors, RNA polymerases and histones, and this has enabled new insights into their interactions, conformational changes, cellular localizations and the functional roles of posttranslational modifications.

Indexed as

epigeneticsgenetic code expansionnon-canonical amino acidsnucleic acid interactionsproteintranscription

Identifiers

PMID24790976
PMCPMC3982524

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.