Evidence map›Paper›PMID 30823443›Full record

ArticleBiosensors2019

In-Vitro Characterization of mCerulean3_mRuby3 as a Novel FRET Pair with Favorable Bleed-Through Characteristics.

Kira Erismann-Ebner, Anne Marowsky, Michael Arand

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2019. 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
1.3field-weighted citation impact, top 15% 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, 5 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Kira Erismann-EbnerInstitute of Pharmacology and Toxicology, University of Zurich, 8057 Zurich, Switzerland. kira.erismann-ebner@pharma.uzh.ch.
Anne MarowskyInstitute of Pharmacology and Toxicology, University of Zurich, 8057 Zurich, Switzerland. marowsky@pharma.uzh.ch.
Michael ArandInstitute of Pharmacology and Toxicology, University of Zurich, 8057 Zurich, Switzerland. arand@pharma.uzh.ch.ORCID 0000-0003-2413-3177
University of Zurich · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung PDFMP3_127330
6 · The paper itself

Abstract

In previous studies, we encountered substantial problems using the CFP_YFP Förster resonance energy transfer (FRET) pair to analyze protein proximity in the endoplasmic reticulum of live cells. Bleed-through of the donor emission into the FRET channel and overlap of the FRET emission wavelength with highly variable cellular autofluorescence significantly compromised the sensitivity of our analyses. Here, we propose mCerulean3 and mRuby3 as a new FRET pair to potentially overcome these problems. Fusion of the two partners with a trypsin-cleavable linker allowed the direct comparison of the FRET signal characteristics of the associated partners with those of the completely dissociated partners. We compared our new FRET pair with the canonical CFP_YFP and the more recent mClover3_mRuby3 pairs and found that, despite a lower total FRET signal intensity, the novel pair had a significantly better signal to noise ratio due to lower donor emission bleed-through. This and the fact that the mRuby3 emission spectrum did not overlap with that of common cellular autofluorescence renders the mCerulean3_mRuby3 FRET pair a promising alternative to the common CFP_YFP FRET pair for the interaction analysis of membrane proteins in living cells.

Indexed as

Endoplasmic ReticulumFluorescence Resonance Energy TransferFluorescent DyesHEK293 CellsHumansMembrane ProteinsProtein Interaction MappingFluorescent DyesMembrane Proteins3D fluorescence spectraexcitationFAMPIRfluorescent protein

Identifiers

PMID30823443
PMCPMC6468510
OpenAlexW2915879660

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.