Quantitative Determination of Dark Chromophore Population Explains the Apparent Low Quantum Yield of Red Fluorescent Proteins.

The fluorescence quantum yield of four representative red fluorescent proteins mCherry, mKate2, mRuby2, and the recently introduced mScarlet was investigated. The excited state lifetimes were measured as a function of the distance to a gold mirror in order to control the local density of optical states (LDOS). By analyzing the total emission rates as a function of the LDOS, we obtain separately the emission rate and the nonradiative rate of the bright states. We thus obtain for the first time the bright state quantum yield of the proteins without interference from dark, nonemitting states. The bright state quantum yields are considerably higher than previously reported quantum yields that average over both bright and dark states. We determine that mCherry, mKate2, and mRuby2 have a considerable fraction of dark chromophores up to 45%, which explains both the low measured quantum yields of red emitting proteins reported in the literature and the difficulties in developing high quantum yield variants of such proteins. For the recently developed bright mScarlet, we find a much smaller dark fraction of 14%, accompanied by a very high quantum yield of the bright state of 81%. The presence of a considerable fraction of dark chromophores has implications for numerous applications of fluorescent proteins, ranging from quantitative fluorescence microscopy to FRET studies to monitoring protein expression levels. We recommend that future optimization of red fluorescent proteins should pay more attention to minimizing the fraction of dark proteins.

Multiparameter screening method for developing optimized red-fluorescent proteins.

Genetically encoded fluorescent proteins (FPs) are highly utilized in cell biology research to study proteins of interest or signal processes using biosensors. To perform well in specific applications, these FPs require a multitude of tailored properties. It is for this reason that they need to be optimized by using mutagenesis. The optimization process through screening is often based solely on bacterial colony brightness, but multiple parameters ultimately determine the performance of an optimal FP. Instead of characterizing other properties after selection, we developed a multiparameter screening method based on four critical parametersscreened simultaneously: fluorescence lifetime, cellular brightness, maturation efficiency, and photostability. First, a high-throughput primary screen (based on fluorescence lifetime and cellular brightness using a mutated FP library) is performed in bacterial colonies. A secondary multiparameter screen based on all four parameters, using a novel bacterial-mammalian dual-expression vector enables expression of the best FP variants in mammalian cell lines. A newly developed automated multiparameter acquisition and cell-based analysis approach for 96-well plates further increased workflow efficiency. We used this protocol to yield the record-bright mScarlet, a fast-maturating mScarlet-I, and a photostable mScarlet-H. This protocol can also be applied to other FP classes or Förster resonance energy transfer (FRET)-based biosensors with minor adaptations. With an available mutant library of a template FP and a complete and tested laboratory setup, a single round of multiparameter screening (including the primary bacterial screen, secondary mammalian cell screen, sequencing, and data processing) can be performed within 2 weeks.

mScarlet: a bright monomeric red fluorescent protein for cellular imaging.

We report the engineering of mScarlet, a truly monomeric red fluorescent protein with record brightness, quantum yield (70%) and fluorescence lifetime (3.9 ns). We developed mScarlet starting with a consensus synthetic template and using improved spectroscopic screening techniques; mScarlet's crystal structure reveals a planar and rigidified chromophore. mScarlet outperforms existing red fluorescent proteins as a fusion tag, and it is especially useful as a Förster resonance energy transfer (FRET) acceptor in ratiometric imaging.

Cobblestone HUVECs: a human model system for studying primary ciliogenesis.

Primary cilia are microtubule based sensory organelles that play an important role in maintaining cellular homeostasis. Malfunctioning results in a number of abnormalities, diseases (ciliopathies) and certain types of cancer. Morphological and biochemical knowledge on cilia/flagella, (early) ciliogenesis and intraflagellar transport is often obtained from model systems (e.g. Chlamydomonas) or from multi ciliary cells like lung or kidney epithelium. In this study endothelial cells in isolated human umbilical veins (HUVs) and cultured human umbilical vein endothelial cells (HUVECs) are compared and used to study primary ciliogenesis. By combining fluorescence microscopy, SEM, 2D and 3D TEM techniques we found that under the tested culturing conditions 60% of cobblestone endothelial cells form a primary cilium. Only a few of these cilia are present (protruding) on the endothelial cell surface, meaning that most primary cilia are in the cytoplasm (non-protruding). This was also observed in situ in the endothelial cells in the umbilical vein. The exact function(s?) of these non-protruding cilia remains unclear. Ultra-structural analysis of cultured HUVECs and the endothelial layer of the human umbilical veins reveal that there are: vesicles inside the ciliary pocket during the early stages of ciliogenesis; tubules/vesicles from the cytoplasm fuse with the ciliary sheath; irregular axoneme patterns, and two round, membranous vesicles inside the basal body. We conclude that cobblestone cultured HUVECs are comparable to the in vivo epithelial lining of the umbilical veins and therefore provide a well defined, relatively simple human model system with a reproducible number of non-protruding primary cilia for studying ciliogenesis.