Evidence map›Paper›PMID 36948706›Full record

ArticleMethods in enzymology2023

Analyzing protein posttranslational modifications using enzyme-catalyzed expressed protein ligation.

Niyi Adelakun, Jordan Parrish, Nam Chu

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Niyi AdelakunDepartment of Cancer Biology and Genetics, the Comprehensive Cancer Center, College of Medicine, The Ohio State University, Columbus, OH, United States.
Jordan ParrishDepartment of Cancer Biology and Genetics, the Comprehensive Cancer Center, College of Medicine, The Ohio State University, Columbus, OH, United States.
Nam ChuDepartment of Cancer Biology and Genetics, the Comprehensive Cancer Center, College of Medicine, The Ohio State University, Columbus, OH, United States. Electronic address: chu.685@osu.edu.
The Ohio State University · US

Funding

Mechanisms Of Akt RegulationK22CA241105 · NCI · OHIO STATE UNIVERSITY · PI CHU, NAM KY · 2021 to 2023
$562k
NCI NIH HHS K22 CA241105
6 · The paper itself

Abstract

Expressed protein ligation (EPL) allows for the attachment of a synthetic peptide into the N- or C-terminus of a recombinant protein fragment to generate a site-specifically modified protein with substantial yields for biochemical and biophysical studies. In this method, multiple posttranslational modifications (PTMs) can be incorporated into a synthetic peptide containing an N-terminal Cysteine, which selectively reacts with a protein C-terminal thioester to afford an amide bond formation. However, the requirement of a Cysteine at the ligation site can limit EPL's potential applications. Here, we describe a method called enzyme-catalyzed EPL, which uses subtiligase to ligate protein thioesters with Cysteine-free peptides. The procedure includes generating protein C-terminal thioester and peptide, performing the enzymatic EPL reaction, and purifying the protein ligation product. We exemplify this method by generating phospholipid phosphatase PTEN with site-specific phosphorylations installed onto its C-terminal tail for biochemical assays.

Indexed as

PeptidesProtein CCatalysisCysteineProtein Processing, Post-TranslationalRecombinant ProteinsCysteinePeptidesProtein CRecombinant ProteinsEnzymologyPeptide synthesisProtein posttranslational modificationsProtein semisynthesisSubtiligase

Identifiers

PMID36948706
PMCPMC12915589
OpenAlexW4315785535

What OpenQuestion holds

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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.