Evidence map›Paper›PMID 29200433›Full record

ArticlePloS one2017

Generation of Ca2+-independent sortase A mutants with enhanced activity for protein and cell surface labeling.

Hee-Jin Jeong, Gita C Abhiraman, Craig M Story, Jessica R Ingram, Stephanie K Dougan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

33 citing papers in PubMed, 60 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Hee-Jin JeongDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Gita C AbhiramanDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Craig M StoryDepartment of Biology, Gordon College, Wenham, Massachusetts, United States of America.
Jessica R IngramDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.ORCID http://orcid.org/0000-0003-1294-0270
Stephanie K DouganDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.ORCID http://orcid.org/0000-0002-2263-363X
Harvard University · USDana-Farber Cancer Institute · USGordon College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sortase A, a calcium-dependent transpeptidase derived from Staphylococcus aureus, is used in a broad range of applications, such as the conjugation of fluorescent dyes and other moieties to proteins or to the surface of eukaryotic cells. In vivo and cell-based applications of sortase have been somewhat limited by the large range of calcium concentrations, as well as by the often transient nature of protein-protein interactions in living systems. In order to use sortase A for cell labeling applications, we generated a new sortase A variant by combining multiple mutations to yield an enzyme that was both calcium-independent and highly active. This variant has enhanced activity for both N- and C-terminal labeling, as well as for cell surface modification under physiological conditions.

Indexed as

AminoacyltransferasesBacterial ProteinsCalciumCell MembraneCysteine EndopeptidasesMutationPeptidyl TransferasesStaining and LabelingStaphylococcus aureusAminoacyltransferasesBacterial ProteinsCalciumCysteine EndopeptidasesPeptidyl Transferasessortase A

Identifiers

PMID29200433
PMCPMC5714338
OpenAlexW2771907252

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.