Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 249

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

An Orange Fluorescent Protein with a Large Stokes Shift for Single-Excitation Multicolor FCCS and FRET Imaging

Open access
Shcherbakova, Daria M., Hink, Mark A., Joosen, Linda, Gadella, Theodorus W. J., Verkhusha, Vladislav V.·2012·Journal of the American Chemical Society

Abstract

Multicolor imaging based on genetically encoded fluorescent proteins (FPs) is a powerful approach to study several dynamic processes in a live cell. We report a monomeric orange FP with a large Stokes shift (LSS), called LSSmOrange (excitation/emission at 437/572 nm), which fills up an existing spectral gap between the green-yellow and red LSSFPs. Brightness of LSSmOrange is five-fold larger than that of the brightest red LSSFP and similar to the green-yellow LSSFPs. LSSmOrange allows numerous multicolor applications using a single-excitation wavelength that was not possible before. Using LSSmOrange we developed four-color single-laser fluorescence cross-correlation spectroscopy, solely based on FPs. The quadruple cross-correlation combined with photon counting histogram techniques allowed quantitative single-molecule analysis of particles labeled with four FPs. LSSmOrange was further applied to simultaneously image two Förster resonance energy transfer pairs, one of which is the commonly used CFP-YFP pair, with a single-excitation laser line. The combination of LSSmOrange-mKate2 and CFP-YFP biosensors enabled imaging of apoptotic activity and calcium fluctuations in real time. The LSSmOrange mutagenesis, low-temperature, and isotope effect studies revealed a proton relay for the excited-state proton transfer responsible for the LSS phenotype.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ja3018972

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 249

Metadata

Authors
Shcherbakova, D. M., Hink, M. A., Joosen, L., Gadella, T. W. J., & Verkhusha, V. V.
Venue
Journal of the American Chemical Society
Published
2012-04-24
Volume
134
Issue
18
Pages
7913-7923
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2129730078
Cited by
249
References
1
FWCI
8.72
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.