Florian Mueller

Three-dimensional cellular ultrastructure resolved by X-ray microscopy

We developed an X-ray microscope using partially coherent object illumination instead of previously used quasi-incoherent illumination. The design permitted the incorporation of a cryogenic tilt stage, enabling tomography of frozen-hydrated, intact adherent cells. We obtained three-dimensional reconstructions of mouse adenocarcinoma cells at ∼36-nm (Rayleigh) and ∼70-nm (Fourier ring correlation) resolution, which allowed us to visualize the double nuclear membrane, nuclear pores, nuclear membrane channels, mitochondrial cristae and lysosomal inclusions.

Fast multicolor 3D imaging using aberration-corrected multifocus microscopy.

Conventional acquisition of three-dimensional (3D) microscopy data requires sequential z scanning and is often too slow to capture biological events. We report an aberration-corrected multifocus microscopy method capable of producing an instant focal stack of nine 2D images. Appended to an epifluorescence microscope, the multifocus system enables high-resolution 3D imaging in multiple colors with single-molecule sensitivity, at speeds limited by the camera readout time of a single image.

Genome-wide protein-DNA binding dynamics suggest a molecular clutch for transcription factor function

Dynamic access to genetic information is central to organismal development and environmental response. Consequently, genomic processes must be regulated by mechanisms that alter genome function relatively rapidly. Conventional chromatin immunoprecipitation (ChIP) experiments measure transcription factor occupancy, but give no indication of kinetics and are poor predictors of transcription factor function at a given locus. To measure transcription-factor-binding dynamics across the genome, we performed competition ChIP (refs 6, 7) with a sequence-specific Saccharomyces cerevisiae transcription factor, Rap1 (ref. 8). Rap1-binding dynamics and Rap1 occupancy were only weakly correlated (R2 = 0.14), but binding dynamics were more strongly linked to function than occupancy. Long Rap1 residence was coupled to transcriptional activation, whereas fast binding turnover, which we refer to as ‘treadmilling’, was linked to low transcriptional output. Thus, DNA-binding events that seem identical by conventional ChIP may have different underlying modes of interaction that lead to opposing functional outcomes. We propose that transcription factor binding turnover is a major point of regulation in determining the functional consequences of transcription factor binding, and is mediated mainly by control of competition between transcription factors and nucleosomes. Our model predicts a clutch-like mechanism that rapidly engages a treadmilling transcription factor into a stable binding state, or vice versa, to modulate transcription factor function.

Evidence for a Common Mode of Transcription Factor Interaction with Chromatin as Revealed by Improved Quantitative Fluorescence Recovery after Photobleaching

How site-specific transcription factors scan the genome to locate their target sites is a fundamental question in gene regulation. The in vivo binding interactions of several different transcription factors with chromatin have been investigated recently using quantitative fluorescence recovery after photobleaching (FRAP). These analyses have yielded significantly different estimates of both the binding rates and the number of predicted binding states of the respective transcription factors. We show here that these discrepancies are not due to fundamental differences among the site-specific transcription factors, but rather arise from errors in FRAP modeling. The two principal errors are a neglect of diffusions role and an oversimplified approximation of the photobleach profile. Accounting for these errors by developing a revised FRAP protocol eliminates most of the previous discrepancies in the binding estimates for the three different transcription factors analyzed here. The new estimates predict that for each of the three transcription factors, approximately 75% of the molecules are freely diffusing within the nucleus, whereas the remainder is bound with an average residence time of approximately 2.5 s to a single type of chromatin binding site. Such consistent predictions for three different molecules suggest that many site-specific transcription factors may exhibit similar in vivo interactions with native chromatin.

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.

FISH-quant: automatic counting of transcripts in 3D FISH images

Transcription is inherently stochastic even in clonal cell populations 1. Studies at single-cell-single-molecule level enable a quantitative understanding of the underlying regulatory mechanisms 2,3. A widely used technique is single-molecule RNA fluorescence in-situ hybridization (FISH), in which fluorescent probes target the mRNA of interest and individual molecules appear as bright diffraction-limited spots (Fig. 1a,b) 3. Recent experimental progress makes FISH easy to use 4 , but a dedicated image analysis tool is currently missing. Available methods allow counting of isolated mature mRNAs but cannot reliably quantify the dense mRNA aggregates at transcription sites (TS) in three dimensions (3D), particularly of highly transcribing genes 4. We developed FISH-QUANT to close this gap (Supplementary Note 1)

Transcription Factors Modulate c-Fos Transcriptional Bursts

SUMMARY Transcription is a stochastic process occurring mostly in episodic bursts. Although the local chromatin environment is known to influence the bursting behavior on long timescales, the impact of transcription factors (TFs)—especially in rapidly inducible systems—is largely unknown. Using fluorescence in situ hybridization and computational models, we quantified the transcriptional activity of the proto-oncogene c-Fos with single mRNA accuracy at individual endogenous alleles. We showed that, during MAPK induction, the TF concentration modulates the burst frequency of c-Fos, whereas other bursting parameters remain mostly unchanged. By using synthetic TFs with TALE DNA-binding domains, we systematically altered different aspects of these bursts. Specifically, we linked the polymerase initiation frequency to the strength of the transactivation domain and the burst duration to the TF lifetime on the promoter. Our results show how TFs and promoter binding domains collectively act to regulate different bursting parameters, offering a vast, evolutionarily tunable regulatory range for individual genes.

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.

Regulation of TATA-binding protein dynamics in living yeast cells

Although pathways for assembly of RNA polymerase (Pol) II transcription preinitiation complexes (PICs) have been well established in vitro, relatively little is known about the dynamic behavior of Pol II general transcription factors in vivo. In vitro, a subset of Pol II factors facilitates reinitiation by remaining very stably bound to the promoter. This behavior contrasts markedly with the highly dynamic behavior of RNA Pol I transcription complexes in vivo, which undergo cycles of disassembly/reassembly at the promoter for each round of transcription. To determine whether the dynamic behavior of the Pol II machinery in vivo is fundamentally different from that of Pol I and whether the static behavior of Pol II factors in vitro fully recapitulates their behavior in vivo, we used fluorescence recovery after photobleaching (FRAP). Surprisingly, we found that all or nearly all of the TATA-binding protein (TBP) population is highly mobile in vivo, displaying FRAP recovery rates of <15 s. These high rates require the activity of the TBP-associated factor Mot1, suggesting that TBP/chromatin interactions are destabilized by active cellular processes. Furthermore, the distinguishable FRAP behavior of TBP and TBP-associated factor 1 indicates that there are populations of these molecules that are independent of one another. The distinct FRAP behavior of most Pol II factors that we tested suggests that transcription complexes assemble via stochastic multistep pathways. Our data indicate that active Pol II PICs can be much more dynamic than previously considered.