Evidence map›Paper›PMID 35101208›Full record

ArticleMethods in enzymology2022

Expression of selenoproteins via genetic code expansion in mammalian cells.

Jennifer C Peeler, Eranthie Weerapana

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2022. 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
1.9field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Biological and Catalytic Properties of Selenoproteins.International journal of molecular sciences · 2023
    Review
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 2 institutions in 1 country.

Jennifer C PeelerDepartment of Chemistry, Colgate University, Hamilton, NY, United States. Electronic address: jpeeler@colgate.edu.
Eranthie WeerapanaDepartment of Chemistry, Boston College, Chestnut Hill, MA, United States.
Boston College · USColgate University · US

Funding

Developing chemical-proteomic tools to investigate cysteine oxidationR35GM134964 · NIGMS · BOSTON COLLEGE · PI WEERAPANA, ERANTHIE · 2020 to 2024
$3.1M
NIGMS NIH HHS R35 GM134964
6 · The paper itself

Abstract

Selenoproteins, which contain the 21st amino acid selenocysteine, play roles in maintaining cellular redox homeostasis. Many open questions remain in the field of selenoprotein biology, including the functions of a number of uncharacterized human selenoproteins, and the properties of selenocysteine compared to its analogous amino acid cysteine. The mechanism of selenocysteine incorporation involves an intricate machinery that deviates from the mechanism of incorporation for the canonical 20 amino acids. As a result, recombinant expression of selenoproteins has been historically challenging, and has hindered a deeper evaluation of selenoprotein biology. Genetic code expansion methods, which incorporate protected analogs of selenocysteine, allow the endogenous selenocysteine incorporation mechanism to be bypassed entirely to facilitate selenoprotein expression. Here we present a method for incorporating a photocaged selenocysteine amino acid (DMNB-Sec) into human selenoproteins directly in mammalian cells. This approach offers the opportunity to study human selenoproteins in their native cellular environment and should advance our understanding of selenoprotein biology.

Indexed as

SelenocysteineSelenoproteinsAnimalsCysteineGenetic CodeHumansMammalsProtein BiosynthesisCysteineSelenocysteineSelenoproteinsGenetic code expansionPhotocaged selenocysteineSelenocysteineSelenoproteinSelenoprotein expression

Identifiers

PMID35101208
PMCPMC9531563
OpenAlexW4210343743

What OpenQuestion holds

Textmetadata
LicenceTDM
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.