Stefano Stella

The shape of the DNA minor groove directs binding by the DNA-bending protein Fis.

The bacterial nucleoid-associated protein Fis regulates diverse reactions by bending DNA and through DNA-dependent interactions with other control proteins and enzymes. In addition to dynamic nonspecific binding to DNA, Fis forms stable complexes with DNA segments that share little sequence conservation. Here we report the first crystal structures of Fis bound to high- and low-affinity 27-base-pair DNA sites. These 11 structures reveal that Fis selects targets primarily through indirect recognition mechanisms involving the shape of the minor groove and sequence-dependent induced fits over adjacent major groove interfaces. The DNA shows an overall curvature of approximately 65 degrees , and the unprecedented close spacing between helix-turn-helix motifs present in the apodimer is accommodated by severe compression of the central minor groove. In silico DNA structure models show that only the roll, twist, and slide parameters are sufficient to reproduce the changes in minor groove widths and recreate the curved Fis-bound DNA structure. Models based on naked DNA structures suggest that Fis initially selects DNA targets with intrinsically narrow minor grooves using the separation between helix-turn-helix motifs in the Fis dimer as a ruler. Then Fis further compresses the minor groove and bends the DNA to generate the bound structure.

Comprehensive analysis of the specificity of transcription activator-like effector nucleases

A key issue when designing and using DNA-targeting nucleases is specificity. Ideally, an optimal DNA-targeting tool has only one recognition site within a genomic sequence. In practice, however, almost all designer nucleases available today can accommodate one to several mutations within their target site. The ability to predict the specificity of targeting is thus highly desirable. Here, we describe the first comprehensive experimental study focused on the specificity of the four commonly used repeat variable diresidues (RVDs; NI:A, HD:C, NN:G and NG:T) incorporated in transcription activator-like effector nucleases (TALEN). The analysis of >15 500 unique TALEN/DNA cleavage profiles allowed us to monitor the specificity gradient of the RVDs along a TALEN/DNA binding array and to present a specificity scoring matrix for RVD/nucleotide association. Furthermore, we report that TALEN can only accommodate a relatively small number of position-dependent mismatches while maintaining a detectable activity at endogenous loci in vivo, demonstrating the high specificity of these molecular tools. We thus envision that the results we provide will allow for more deliberate choices of DNA binding arrays and/or DNA targets, extending our engineering capabilities.

The genome editing revolution: A CRISPR-Cas TALE off-target story

In the last 10 years, we have witnessed a blooming of targeted genome editing systems and applications. The area was revolutionized by the discovery and characterization of the transcription activator‐like effector proteins, which are easier to engineer to target new DNA sequences than the previously available DNA binding templates, zinc fingers and meganucleases. Recently, the area experimented a quantum leap because of the introduction of the clustered regularly interspaced short palindromic repeats (CRISPR)‐associated protein (Cas) system (clustered regularly interspaced short palindromic sequence). This ribonucleoprotein complex protects bacteria from invading DNAs, and it was adapted to be used in genome editing. The CRISPR ribonucleic acid (RNA) molecule guides to the specific DNA site the Cas9 nuclease to cleave the DNA target. Two years and more than 1000 publications later, the CRISPR‐Cas system has become the main tool for genome editing in many laboratories. Currently the targeted genome editing technology has been used in many fields and may be a possible approach for human gene therapy. Furthermore, it can also be used to modifying the genomes of model organisms for studying human pathways or to improve key organisms for biotechnological applications, such as plants, livestock genome as well as yeasts and bacterial strains.

Purification, characterization and crystallization of the human 80S ribosome

Ribosomes are key macromolecular protein synthesis machineries in the cell. Human ribosomes have so far not been studied to atomic resolution because of their particularly complex structure as compared with other eukaryotic or prokaryotic ribosomes, and they are difficult to prepare to high homogeneity, which is a key requisite for high-resolution structural work. We established a purification protocol for human 80S ribosomes isolated from HeLa cells that allows obtaining large quantities of homogenous samples as characterized by biophysical methods using analytical ultracentrifugation and multiangle laser light scattering. Samples prepared under different conditions were characterized by direct single particle imaging using cryo electron microscopy, which helped optimizing the preparation protocol. From a small data set, a 3D reconstruction at subnanometric resolution was obtained showing all prominent structural features of the human ribosome, and revealing a salt concentration dependence of the presence of the exit site tRNA, which we show is critical for obtaining crystals. With these well-characterized samples first human 80S ribosome crystals were obtained from several crystallization conditions in capillaries and sitting drops, which diffract to 26 Å resolution at cryo temperatures and for which the crystallographic parameters were determined, paving the way for future high-resolution work.

Structure of the Avrbs3-DNA Complex Provides New Insights Into the Initial Thymine-Recognition Mechanism

The crystal structure of the AvrBs3–DNA complex is reported.

Structure of the Cpf1 endonuclease R-loop complex after target DNA cleavage

Cpf1 is an RNA-guided endonuclease that is emerging as a powerful genome-editing tool. Here we provide insight into its DNA-targeting mechanism by determining the structure of Francisella novicida Cpf1 with the triple-stranded R-loop generated after DNA cleavage. The structure reveals the machinery involved in DNA unwinding to form a CRISPR RNA (crRNA)–DNA hybrid and a displaced DNA strand. The protospacer adjacent motif (PAM) is recognized by the PAM-interacting domain. The loop-lysine helix–loop motif in this domain contains three conserved lysine residues that are inserted in a dentate manner into the double-stranded DNA. Unzipping of the double-stranded DNA occurs in a cleft arranged by acidic and hydrophobic residues facilitating the crRNA–DNA hybrid formation. The PAM single-stranded DNA is funnelled towards the nuclease site through a mixed hydrophobic and basic cavity. In this catalytic conformation, the PAM-interacting domain and the helix–loop–helix motif in the REC1 domain adopt a ‘rail’ shape and ‘flap-on’ conformations, respectively, channelling the PAM strand into the cavity. A steric barrier between the RuvC-II and REC1 domains forms the ‘septum’, separating the displaced PAM strand and the crRNA–DNA hybrid, avoiding DNA re-annealing. Mutations in key residues reveal a mechanism linking the PAM and DNA nuclease sites. Analysis of the Cpf1 structures proposes a singular working model of RNA-guided DNA cleavage, suggesting new avenues for redesign of Cpf1.

The −35 sequence location and the Fis–sigma factor interface determine σS selectivity of the proP (P2) promoter in Escherichia coli

The P2 promoter of proP, encoding a transporter for proline and glycine betaine in Escherichia coli, is a unique paradigm, where master regulators of different growth stages, Fis and σS (RpoS), collaborate to achieve promoter activation. It is also the only case described where Fis functions as class II transcriptional activator (centred at −41). Here we show that the degenerate −35 sequence, and the location of the Fis binding site, which forces a suboptimal 16 bp spacing between the −35 and −10 elements, allow only σS but not σ70 to function at proP (P2). Moreover, the interface between Fis and σS seems better suited to σS, due to a single residue difference between σS and σ70. Nevertheless, Fis can activate RNA polymerase containing σ70 at a proP (P2) promoter variant, in which a typical σ70−35 recognition sequence has been introduced at a 17 bp distance from the −10 hexamer. In summary, we elucidate the rules that govern sigma factor selectivity in the presence of a class II activator, provide new insight into transcriptional activation by Fis from this position, and clarify, why the proP (P2) promoter is precisely activated during a short time window of the growth cycle, when Fis and σS are both present.

Non-specific protein–DNA interactions control I-CreI target binding and cleavage

Homing endonucleases represent protein scaffolds that provide powerful tools for genome manipulation, as these enzymes possess a very low frequency of DNA cleavage in eukaryotic genomes due to their high specificity. The basis of protein–DNA recognition must be understood to generate tailored enzymes that target the DNA at sites of interest. Protein–DNA interaction engineering of homing endonucleases has demonstrated the potential of these approaches to create new specific instruments to target genes for inactivation or repair. Protein–DNA interface studies have been focused mostly on specific contacts between amino acid side chains and bases to redesign the binding interface. However, it has been shown that 4 bp in the central DNA sequence of the 22-bp substrate of a homing endonuclease (I-CreI), which do not show specific protein–DNA interactions, is not devoid of content information. Here, we analyze the mechanism of target discrimination in this substrate region by the I-CreI protein, determining how it can occur independently of the specific protein–DNA interactions. Our data suggest the important role of indirect readout in this substrate region, opening the possibility for a fully rational search of new target sequences, thus improving the development of redesigned enzymes for therapeutic and biotechnological applications.

BuD, a helix–loop–helix DNA-binding domain for genome modification

Crystal structures of BurrH and the BurrH–DNA complex are reported.

DNA Sequence Determinants Controlling Affinity, Stability and Shape of DNA Complexes Bound by the Nucleoid Protein Fis.

The abundant Fis nucleoid protein selectively binds poorly related DNA sequences with high affinities to regulate diverse DNA reactions. Fis binds DNA primarily through DNA backbone contacts and selects target sites by reading conformational properties of DNA sequences, most prominently intrinsic minor groove widths. High-affinity binding requires Fis-stabilized DNA conformational changes that vary depending on DNA sequence. In order to better understand the molecular basis for high affinity site recognition, we analyzed the effects of DNA sequence within and flanking the core Fis binding site on binding affinity and DNA structure. X-ray crystal structures of Fis-DNA complexes containing variable sequences in the noncontacted center of the binding site or variations within the major groove interfaces show that the DNA can adapt to the Fis dimer surface asymmetrically. We show that the presence and position of pyrimidine-purine base steps within the major groove interfaces affect both local DNA bending and minor groove compression to modulate affinities and lifetimes of Fis-DNA complexes. Sequences flanking the core binding site also modulate complex affinities, lifetimes, and the degree of local and global Fis-induced DNA bending. In particular, a G immediately upstream of the 15 bp core sequence inhibits binding and bending, and A-tracts within the flanking base pairs increase both complex lifetimes and global DNA curvatures. Taken together, our observations support a revised DNA motif specifying high-affinity Fis binding and highlight the range of conformations that Fis-bound DNA can adopt. The affinities and DNA conformations of individual Fis-DNA complexes are likely to be tailored to their context-specific biological functions.