Timothy J. Stasevich

FRAP and kinetic modeling in the analysis of nuclear protein dynamics: what do we really know?

The binding of nuclear proteins to chromatin in live cells has been analyzed by kinetic modeling procedures applied to experimental data from fluorescence recovery after photobleaching (FRAP). The kinetic models have yielded a number of important biological predictions about transcription, but concerns have arisen about the accuracy of these predictions. First, different studies using different kinetic models have arrived at very different predictions for the same or similar proteins. Second, some of these divergent predictions have been shown to arise from technical issues rather than biological differences. For confidence and accuracy, gold standards for the measurement of in vivo binding must be established by extensive cross validation using both different experimental methods and different kinetic modeling procedures.

Concurrent Fast and Slow Cycling of a Transcriptional Activator at an Endogenous Promoter

For gene regulation, some transcriptional activators bind periodically to promoters with either a fast (∼1 minute) or a slow (∼15 to 90 minutes) cycle. It is uncertain whether the fast cycle occurs on natural promoters, and the function of either cycle in transcription remains unclear. We report that fast and slow cycling can occur simultaneously on an endogenous yeast promoter and that slow cycling in this system reflects an oscillation in the fraction of accessible promoters rather than the recruitment and release of stably bound transcriptional activators. This observation, combined with single-cell measurements of messenger RNA (mRNA) production, argues that fast cycling initiates transcription and that slow cycling regulates the quantity of mRNA produced. These findings counter the prevailing view that slow cycling initiates transcription.

Tracking epigenetic histone modifications in single cells using Fab-based live endogenous modification labeling

Histone modifications play an important role in epigenetic gene regulation and genome integrity. It remains largely unknown, however, how these modifications dynamically change in individual cells. By using fluorescently labeled specific antigen binding fragments (Fabs), we have developed a general method to monitor the distribution and global level of endogenous histone H3 lysine modifications in living cells without disturbing cell growth and embryo development. Fabs produce distinct nuclear patterns that are characteristic of their target modifications. H3K27 trimethylation-specific Fabs, for example, are concentrated on inactive X chromosomes. As Fabs bind their targets transiently, the ratio of bound and free molecules depends on the target concentration, allowing us to measure changes in global modification levels. High-affinity Fabs are suitable for mouse embryo imaging, so we have used them to monitor H3K9 and H3K27 acetylation levels in mouse preimplantation embryos produced by in vitro fertilization and somatic cell nuclear transfer. The data suggest that a high level of H3K27 acetylation is important for normal embryo development. As Fab-based live endogenous modification labeling (FabLEM) is broadly useful for visualizing any modification, it should be a powerful tool for studying cell signaling and diagnosis in the future.

Regulation of RNA polymerase II activation by histone acetylation in single living cells

In eukaryotic cells, post-translational histone modifications have an important role in gene regulation. Starting with early work on histone acetylation, a variety of residue-specific modifications have now been linked to RNA polymerase II (RNAP2) activity, but it remains unclear if these markers are active regulators of transcription or just passive byproducts. This is because studies have traditionally relied on fixed cell populations, meaning temporal resolution is limited to minutes at best, and correlated factors may not actually be present in the same cell at the same time. Complementary approaches are therefore needed to probe the dynamic interplay of histone modifications and RNAP2 with higher temporal resolution in single living cells. Here we address this problem by developing a system to track residue-specific histone modifications and RNAP2 phosphorylation in living cells by fluorescence microscopy. This increases temporal resolution to the tens-of-seconds range. Our single-cell analysis reveals histone H3 lysine-27 acetylation at a gene locus can alter downstream transcription kinetics by as much as 50%, affecting two temporally separate events. First acetylation enhances the search kinetics of transcriptional activators, and later the acetylation accelerates the transition of RNAP2 from initiation to elongation. Signatures of the latter can be found genome-wide using chromatin immunoprecipitation followed by sequencing. We argue that this regulation leads to a robust and potentially tunable transcriptional response.

Direct measurement of association and dissociation rates of DNA binding in live cells by fluorescence correlation spectroscopy

Measurement of live-cell binding interactions is vital for understanding the biochemical reactions that drive cellular processes. Here, we develop, characterize, and apply a new procedure to extract information about binding to an immobile substrate from fluorescence correlation spectroscopy (FCS) autocorrelation data. We show that existing methods for analyzing such data by two-component diffusion fits can produce inaccurate estimates of diffusion constants and bound fractions, or even fail altogether to fit FCS binding data. By analyzing live-cell FCS measurements, we show that our new model can satisfactorily account for the binding interactions introduced by attaching a DNA binding domain to the dimerization domain derived from a site-specific transcription factor (the vitellogenin binding protein (VBP)). We find that our FCS estimates are quantitatively consistent with our fluorescence recovery after photobleaching (FRAP) measurements on the same VBP domains. However, due to the fast binding interactions introduced by the DNA binding domain, FCS generates independent estimates for the diffusion constant (6.7 +/- 2.4 microm2/s) and the association (2 +/- 1.2 s(-1)) and dissociation (19 +/- 7 s(-1)) rates, whereas FRAP produces only a single, but a consistent, estimate, the effective-diffusion constant (4.4 +/- 1.4 microm2/s), which depends on all three parameters. We apply this new FCS method to evaluate the efficacy of a potential anticancer drug that inhibits DNA binding of VBP in vitro and find that in vivo the drug inhibits DNA binding in only a subset of cells. In sum, we provide a straightforward approach to directly measure binding rates from FCS data.

Real-time quantification of single RNA translation dynamics in living cells

The when, where, and how of translation High-resolution single-molecule imaging shows the spatial and temporal dynamics of molecular events (see the Perspective by Iwasaki and Ingolia). Wu et al. and Morisaki et al. developed an approach to study the translation of single messenger RNAs (mRNAs) in live cells. Nascent polypeptides containing multimerized epitopes were imaged with fluorescent antibody fragments, while simultaneously detecting the single mRNAs using a different fluorescent tag. The approach enabled a direct readout of initiation and elongation, as well as revealing the spatial distribution of translation and allowing the correlation of polysome motility with translation dynamics. Membrane-targeted mRNAs could be distinguished from cytoplasmic mRNAs, as could single polysomes from higher-order polysomal complexes. Furthermore, the work reveals the stochasticity of translation, which can occur constitutively or in bursts, much like transcription, and the spatial regulation of translation in neuronal dendrites. Science, this issue p. 1430, p. 1425; see also p. 1391 Tracking nascent protein chains in living cells with antibody-based probes reveals the stochastic nature of single mRNA translation. Although messenger RNA (mRNA) translation is a fundamental biological process, it has never been imaged in real time in vivo with single-molecule precision. To achieve this, we developed nascent chain tracking (NCT), a technique that uses multi-epitope tags and antibody-based fluorescent probes to quantify protein synthesis dynamics at the single-mRNA level. NCT reveals an elongation rate of ~10 amino acids per second, with initiation occurring stochastically every ~30 seconds. Polysomes contain ~1 ribosome every 200 to 900 nucleotides and are globular rather than elongated in shape. By developing multicolor probes, we showed that most polysomes act independently; however, a small fraction (~5%) form complexes in which two distinct mRNAs can be translated simultaneously. The sensitivity and versatility of NCT make it a powerful new tool for quantifying mRNA translation kinetics.

Dissecting the binding mechanism of the linker histone in live cells: an integrated FRAP analysis

The linker histone H1 has a fundamental role in DNA compaction. Although models for H1 binding generally involve the H1 C‐terminal tail and sites S1 and S2 within the H1 globular domain, there is debate about the importance of these binding regions and almost nothing is known about how they work together. Using a novel fluorescence recovery after photobleaching (FRAP) procedure, we have measured the affinities of these regions individually, in pairs, and in the full molecule to demonstrate for the first time that binding among several combinations is cooperative in live cells. Our analysis reveals two preferred H1 binding pathways and we find evidence for a novel conformational change required by both. These results paint a complex, highly dynamic picture of H1–chromatin binding, with a significant fraction of H1 molecules only partially bound in metastable states that can be readily competed against. We anticipate the methods we have developed here will be broadly applicable, particularly for deciphering the binding kinetics of other nuclear proteins that, similar to H1, interact with and modify chromatin.

Cross-Validating FRAP and FCS to Quantify the Impact of Photobleaching on In Vivo Binding Estimates

Binding can now be quantified in live cells, but the accuracy of such measurements remains uncertain. To address this uncertainty, we compare fluorescence recovery after photobleaching (FRAP) and fluorescence correlation spectroscopy (FCS) measurements of the binding kinetics of a transcription factor, the glucocorticoid receptor, in the nuclei of live cells. We find that the binding residence time measured by FRAP is 15 times longer than that obtained by FCS. We show that this discrepancy is not likely due to the significant differences in concentrations typically used for FRAP and FCS, nor is it likely due to spatial heterogeneity of the nucleus, improper calibration of the FCS focal volume, or the intentional FRAP photobleach. Instead, our data indicate that photobleaching of bound molecules in FCS is mainly responsible. When this effect is minimized, FRAP and FCS measurements nearly agree, although cross-validation by other approaches is now required to rule out mutual errors. Our results demonstrate the necessity of a photobleach correction for FCS measurements of GFP-tagged molecules that are bound for >0.25 s, and represent an important step forward in establishing a gold standard for in vivo binding measurements.

Quantifying transcription factor kinetics: At work or at play?

Abstract Transcription factors (TFs) interact dynamically in vivo with chromatin binding sites. Here we summarize and compare the four different techniques that are currently used to measure these kinetics in live cells, namely fluorescence recovery after photobleaching (FRAP), fluorescence correlation spectroscopy (FCS), single molecule tracking (SMT) and competition ChIP (CC). We highlight the principles underlying each of these approaches as well as their advantages and disadvantages. A comparison of data from each of these techniques raises an important question: do measured transcription kinetics reflect biologically functional interactions at specific sites (i.e. working TFs) or do they reflect non-specific interactions (i.e. playing TFs)? To help resolve this dilemma we discuss five key unresolved biological questions related to the functionality of transient and prolonged binding events at both specific promoter response elements as well as non-specific sites. In support of functionality, we review data suggesting that TF residence times are tightly regulated, and that this regulation modulates transcriptional output at single genes. We argue that in addition to this site-specific regulatory role, TF residence times also determine the fraction of promoter targets occupied within a cell thereby impacting the functional status of cellular gene networks. Thus, TF residence times are key parameters that could influence transcription in multiple ways.

Highly stable loading of Mcm proteins onto chromatin in living cells requires replication to unload

Components of the minichromosome maintenance complex (Mcm2-7) remain indefinitely bound to chromatin during G1 phase and replication arrest.