Evidence map›Paper›PMID 35101209›Full record

ArticleMethods in enzymology2022

Applying selenocysteine-mediated expressed protein ligation to prepare the membrane enzyme selenoprotein S.

Rujin Cheng, Jun Liu, Vidyadhar Daithankar, Sharon Rozovsky

Open access · greenAbstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

4 authors at 1 institution in 1 country.

Rujin ChengDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE, United States.
Jun LiuDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE, United States; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, United States.
Vidyadhar DaithankarDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE, United States; Syva formulation, Siemens Healthineers, Newark, DE, United States.
Sharon RozovskyDepartment of Chemistry and Biochemistry, University of Delaware, Newark, DE, United States. Electronic address: rozovsky@udel.edu.
University of Delaware · US

Funding

This renovation project will create over 1455 sq. ft. of state- of-the-art reseaP20GM104316 · NIGMS · UNIVERSITY OF DELAWARE · PI FOX, JOSEPH M · 2014 to 2024
$26.8M
Pilot Research Subproject ProgramP30GM110758 · NIGMS · UNIVERSITY OF DELAWARE · PI POLENOVA, TATYANA · 2014 to 2018
$5.8M
Selenoproteins in the ER-associated protein degradation pathwayR01GM121607 · NIGMS · UNIVERSITY OF DELAWARE · PI ROZOVSKY, SHARON · 2017 to 2021
$1.1M
NIGMS NIH HHS P20 GM104316NIGMS NIH HHS P30 GM110758NIGMS NIH HHS R01 GM121607
6 · The paper itself

Abstract

The intrinsically disordered membrane-bound selenoprotein s (selenos) takes part in the protein quality control pathway, vesicle trafficking, and NF-kB signaling. The reactive selenocysteine (Sec) at the penultimate position is responsible for its enzymatic activity. We report the preparation of the soluble segment as well as the full-length selenos using expressed protein ligation. This chapter discusses the practical considerations of expressed protein ligation using selenopeptides and describes our optimized procedure for the semi-synthesis of selenos.

Indexed as

SelenocysteineSelenoproteinsSelenocysteineSelenoproteinsExpressed protein ligationNative chemical ligationSelenocysteineSelenopeptideSelenoproteinsSelenosSelsSEPS1VIMP

Identifiers

PMID35101209
PMCPMC9126641
OpenAlexW4210781789

What Socratic 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 Socratic graph.