Evidence map›Paper›PMID 36883310›Full record

ReviewProtein science : a publication of the Protein Society2023

Functional analysis of protein post-translational modifications using genetic codon expansion.

Tao Peng, Tandrila Das, Ke Ding, Howard C Hang

Abstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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.

Tao PengState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China.ORCID 0000-0002-5578-5314
Tandrila DasDepartments of Immunology and Microbiology and Chemistry, Scripps Research, La Jolla, California, USA.
Ke DingState Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, China.
Howard C HangDepartments of Immunology and Microbiology and Chemistry, Scripps Research, La Jolla, California, USA.

Funding

Studies on Protein LipidationR01GM087544 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI HANG, HOWARD C · 2010 to 2023
$4.4M
NIGMS NIH HHS R01 GM087544
6 · The paper itself

Abstract

Post-translational modifications (PTMs) of proteins not only exponentially increase the diversity of proteoforms, but also contribute to dynamically modulating the localization, stability, activity, and interaction of proteins. Understanding the biological consequences and functions of specific PTMs has been challenging for many reasons, including the dynamic nature of many PTMs and the technical limitations to access homogenously modified proteins. The genetic code expansion technology has emerged to provide unique approaches for studying PTMs. Through site-specific incorporation of unnatural amino acids (UAAs) bearing PTMs or their mimics into proteins, genetic code expansion allows the generation of homogenous proteins with site-specific modifications and atomic resolution both in vitro and in vivo. With this technology, various PTMs and mimics have been precisely introduced into proteins. In this review, we summarize the UAAs and approaches that have been recently developed to site-specifically install PTMs and their mimics into proteins for functional studies of PTMs.

Indexed as

Protein Processing, Post-TranslationalProteinsAmino AcidsCodonGenetic CodeAmino AcidsCodonProteinsbioorthogonal reactiongenetic codon expansionpost-translational modificationunnatural amino acids

Identifiers

PMID36883310
PMCPMC10031814

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.