A repressor heterodimer binds to a chimeric operator

Identification and Development of Cyclic Peptide Inhibitors of Hypoxia Inducible Factors 1 and 2 That Disrupt Hypoxia-Response Signaling in Cancer Cells

Hypoxia inducible factor (HIF) is a heterodimeric transcription factor composed of an oxygen-regulated α subunit and a constitutively expressed β subunit that serves as the master regulator of the cellular response to low oxygen concentrations. The HIF transcription factor senses and responds to hypoxia by significantly altering transcription and reprogramming cells to enable adaptation to a hypoxic microenvironment. Given the central role played by HIF in the survival and growth of tumors in hypoxia, inhibition of this transcription factor serves as a potential therapeutic approach for treating a variety of cancers. Here, we report the identification, optimization, and characterization of a series of cyclic peptides that disrupt the function of HIF-1 and HIF-2 transcription factors by inhibiting the interaction of both HIF-1α and HIF-2α with HIF-1β. These compounds are shown to bind to HIF-α and disrupt the protein-protein interaction between the α and β subunits of the transcription factor, resulting in disruption of hypoxia-response signaling by our lead molecule in several cancer cell lines.

Phenotypic Nonspecificity as the Result of Limited Specificity of Transcription Factor Function

Drosophila transcription factor (TF) function is phenotypically nonspecific. Phenotypic nonspecificity is defined as one phenotype being induced or rescued by multiple TFs. To explain this unexpected result, a hypothetical world of limited specificity is explored where all TFs have unique random distributions along the genome due to low information content of DNA sequence recognition and somewhat promiscuous cooperative interactions with other TFs. Transcription is an emergent property of these two conditions. From this model, explicit predictions are made. First, many more cases of TF nonspecificity are expected when examined. Second, the genetic analysis of regulatory sequences should uncover cis-element bypass and, third, genetic analysis of TF function should generally uncover differential pleiotropy. In addition, limited specificity provides evolutionary opportunity and explains the inefficiency of expression analysis in identifying genes required for biological processes.

Biological signal processing with a genetic toggle switch

Complex gene regulation requires responses that depend not only on the current levels of input signals but also on signals received in the past. In digital electronics, logic circuits with this property are referred to as sequential logic, in contrast to the simpler combinatorial logic without such internal memory. In molecular biology, memory is implemented in various forms such as biochemical modification of proteins or multistable gene circuits, but the design of the regulatory interface, which processes the input signals and the memory content, is often not well understood. Here, we explore design constraints for such regulatory interfaces using coarse-grained nonlinear models and stochastic simulations of detailed biochemical reaction networks. We test different designs for biological analogs of the most versatile memory element in digital electronics, the JK-latch. Our analysis shows that simple protein-protein interactions and protein-DNA binding are sufficient, in principle, to implement genetic circuits with the capabilities of a JK-latch. However, it also exposes fundamental limitations to its reliability, due to the fact that biological signal processing is asynchronous, in contrast to most digital electronics systems that feature a central clock to orchestrate the timing of all operations. We describe a seemingly natural way to improve the reliability by invoking the master-slave concept from digital electronics design. This concept could be useful to interpret the design of natural regulatory circuits, and for the design of synthetic biological systems.

Computational design of synthetic regulatory networks from a genetic library to characterize the designability of dynamical behaviors

The engineering of synthetic gene networks has mostly relied on the assembly of few characterized regulatory elements using rational design principles. It is of outmost importance to analyze the scalability and limits of such a design workflow. To analyze the design capabilities of libraries of regulatory elements, we have developed the first automated design approach that combines such elements to search the genotype space associated to a given phenotypic behavior. Herein, we calculated the designability of dynamical functions obtained from circuits assembled with a given genetic library. By designing circuits working as amplitude filters, pulse counters and oscillators, we could infer new mechanisms for such behaviors. We also highlighted the hierarchical design and the optimization of the interface between devices. We dissected the functional diversity of a constrained library and we found that even such libraries can provide a rich variety of behaviors. We also found that intrinsic noise slightly reduces the designability of digital circuits, but it increases the designability of oscillators. Finally, we analyzed the robust design as a strategy to counteract the evolvability and noise in gene expression of the engineered circuits within a cellular background, obtaining mechanisms for robustness through non-linear negative feedback loops.

Multiple peaks and reciprocal sign epistasis in an empirically determined genotype-phenotype landscape

Insight into the ruggedness of adaptive landscapes is central to understanding the mechanisms and constraints that shape the course of evolution. While empirical data on adaptive landscapes remain scarce, a handful of recent investigations have revealed genotype-phenotype and genotype-fitness landscapes that appeared smooth and single peaked. Here, we used existing in vivo measurements on lac repressor and operator mutants in Escherichia coli to reconstruct the genotype-phenotype map that details the repression value of this regulatory system as a function of two key repressor residues and four key operator base pairs. We found that this landscape is multipeaked, harboring in total 19 distinct optima. Analysis showed that all direct evolutionary pathways between peaks involve significant dips in the repression value. Consistent with earlier predictions, we found reciprocal sign epistatic interactions at the repression minimum of the most favorable paths between two peaks. These results suggest that the occurrence of multiple peaks and reciprocal epistatic interactions may be a general feature in coevolving systems like the repressor-operator pair studied here.

Designing sequential transcription logic: a simple genetic circuit for conditional memory

The ability to learn and respond to recurrent events depends on the capacity to remember transient biological signals received in the past. Moreover, it may be desirable to remember or ignore these transient signals conditioned upon other signals that are active at specific points in time or in unique environments. Here, we propose a simple genetic circuit in bacteria that is capable of conditionally memorizing a signal in the form of a transcription factor concentration. The circuit behaves similarly to a "data latch" in an electronic circuit, i.e. it reads and stores an input signal only when conditioned to do so by a "read command." Our circuit is of the same size as the well-known genetic toggle switch (an unconditional latch) which consists of two mutually repressing genes, but is complemented with a "regulatory front end" involving protein heterodimerization as a simple way to implement conditional control. Deterministic and stochastic analysis of the circuit dynamics indicate that an experimental implementation is feasible based on well-characterized genes and proteins. It is not known, to which extent molecular networks are able to conditionally store information in natural contexts for bacteria. However, our results suggest that such sequential logic elements may be readily implemented by cells through the combination of existing protein-protein interactions and simple transcriptional regulation.

Evolutionary potential of a duplicated repressor-operator pair: simulating pathways using mutation data

Ample evidence has accumulated for the evolutionary importance of duplication events. However, little is known about the ensuing step-by-step divergence process and the selective conditions that allow it to progress. Here we present a computational study on the divergence of two repressors after duplication. A central feature of our approach is that intermediate phenotypes can be quantified through the use of in vivo measured repression strengths of Escherichia coli lac mutants. Evolutionary pathways are constructed by multiple rounds of single base pair substitutions and selection for tight and independent binding. Our analysis indicates that when a duplicated repressor co-diverges together with its binding site, the fitness landscape allows funneling to a new regulatory interaction with early increases in fitness. We find that neutral mutations do not play an essential role, which is important for substantial divergence probabilities. By varying the selective pressure we can pinpoint the necessary ingredients for the observed divergence. Our findings underscore the importance of coevolutionary mechanisms in regulatory networks, and should be relevant for the evolution of protein-DNA as well as protein-protein interactions.

The evolution of a new trait critically depends on the existence of a path of viable intermediates. Generally speaking, fitness decreasing steps in this path hamper evolution, whereas fitness increasing steps accelerate it. Unfortunately, intermediates are hard to catch in action since they occur only transiently, which is why they have largely been neglected in evolutionary studies.

The novelty of this study is that intermediate phenotypes can be predicted using published measurements of Escherichia coli mutants. Using this approach, the evolution of a small genetic network is simulated by computer. Following the duplication of one of its components, a new protein-DNA interaction develops via the accumulation of point mutations and selection. The resulting paths reveal a high potential to obtain a new regulatory interaction, in which neutral drift plays an almost negligible role. This study provides a mechanistic rationale for why such rapid divergence can occur and under which minimal selective conditions. In addition it yields a quantitative prediction for the minimum number of essential mutations.

Engineering proteins that bind, move, make and break DNA

Recent protein engineering efforts have generated artificial transcription factors that bind new target DNA sequences and enzymes that modify DNA at new target sites. Zinc-finger-based transcription factors are favored targets for design; important technological advances in their construction and numerous biotechnological applications have been reported. Other notable advances include the generation of endonucleases and recombinases with altered specificities, made by innovative combinatorial and evolutionary protein engineering strategies. An unexpectedly high tolerance to mutation in the active sites of DNA polymerases is being exploited to engineer polymerases to incorporate artificial nucleotides or to display other, nonnatural activities.

Modular construction of extended DNA recognition surfaces: mutant DNA-binding domains of the 434 repressor as building blocks

Single-chain derivatives of the 434 repressor containing one wild-type and one mutant DNA-binding domain recognize the general operator ACAA-6 base pairs-NNNN, where the ACAA operator subsite is contacted by the wild-type and the NNNN tetramer by the mutant domain. The DNA-binding specificities of several single-chain mutants were studied in detail and the optimal subsites of the mutant domains were determined. The characterized mutant domains were used as building units to obtain homo- and heterodimeric single-chain derivatives. The DNA-binding properties of these domain-shuffled derivatives were tested with a series of designed operators of NNNN-6 base pairs-NNNN type. It was found that the binding specificities of the mutant domains were generally maintained in the new environments and the binding affinities for the optimal DNA ligands were high (with K(d) values in the range of 10(-11)-10(-10) M). Considering that only certain sequence motifs in place of the six base pair spacer can support optimal contacts between the mutant domains and their subsites, the single-chain 434 repressor mutants are highly specific for a limited subset of 14 base pair long DNA targets.

Selection and design of high affinity DNA ligands for mutant single-chain derivatives of the bacteriophage 434 repressor

Single-chain repressor RR(Tres) is a derivative of bacteriophage 434 repressor, which contains covalently dimerized DNA-binding domains (amino acids 1-69) of the phage 434 repressor. In this single-chain molecule, the wild type domain R is connected to the mutant domain R(TRES) by a recombinant linker in a head-to-tail arrangement. The DNA-contacting amino acids of R(TRES) at the -1, 1, 2, and 5 positions of the a3 helix are T, R, E, S respectively. By using a randomized DNA pool containing the central sequence -CATACAAGAAAGNNNNNNTTT-, a cyclic,in vitro DNA-binding site selection was performed. The selected population was cloned and the individual members were characterized by determining their binding affinities to RR(Tres) The results showed that the optimal operators contained the TTAC or TTCC sequences in the underlined positions as above, and that the Kd values were in the 1 x 10(-12) mol/L-1 x 10(11) mol/L concentration range. Since the affinity of the natural 434 repressor to its natural operator sites is in the 1 x 10(-9) mol/L range, the observed binding affinity increase is remarkable. It was also found that binding affinity was strongly affected by the flanking bases of the optimal tetramer binding sites, especially by the base at the 5' position. We constructed a new homodimeric single-chain repressor R(TRES)R(TRES) and its DNA-binding specificity was tested by using a series of new operators designed according to the recognition properties previously determined for the R(TREs) domain. These operators containing the consensus sequenceGTAAGAAARNTTACN orGGAAGAAARNTTCCN (R is A or G) were recognized by R(TRES)R(TRES) specifically, and with high binding affinity. Thus, by using a combination of random selection and rational design principles, we have discovered novel, high affinity protein-DNA interactions with new specificity. This method can potentially be used to obtain new binding specificity for other DNA-binding proteins.

Isolation of altered specificity mutants of the single-chain 434 repressor that recognize asymmetric DNA sequences containing the TTAA and TTAC subsites

A novel single-chain (sc) protein framework containing covalently dimerized DNA-binding domains (DBD) of the phage 434 repressor was used to construct combinatorial mutant libraries in order to isolate mutant DBDs with altered specificities. The library members contain one wild-type DBD and one mutant domain with randomized amino acids in the DNA-contacting region. Based on previous studies, the mutant sc derivatives are expected to recognize a general ACAA-6 bp-NNNN sequence, where ACAA is contacted by the wild-type and NNNN by the mutant domain. In principle, any sequence can stand for NNNN and serve as a selection target. Here an in vivo library screening method was used to isolate mutant sc repressors that interact with an asymmetric operator containing the TTAA target. Several mutants showed high affinity in vitro binding to operators containing the target and strong (up to 80-fold) preference for the TTAA target over the wild-type TTGT. Specificity studies revealed that certain mutants bound with substantially higher affinities (K(d) approximately 10(-11)M) to operators containing the TTAC sequence, a close homolog of the TTAA target. Thus, we have fortuitously isolated mutant sc repressors that show up to a several hundred-fold preference for TTAC over TTGT.

Recognition of DNA by single-chain derivatives of the phage 434 repressor: high affinity binding depends on both the contacted and non-contacted base pairs

Single-chain derivatives of the phage 434 repressor, termed single-chain repressors, contain covalently dimerized DNA-binding domains (DBD) which are connected with a peptide linker in a head-to-tail arrangement. The prototype RR69 contains two wild-type DBDs, while RR*69 contains a wild-type and an engineered DBD. In this latter domain, the DNA- contacting amino acids of thealpha3 helix of the 434 repressor are replaced by the corresponding residues of the related P22 repressor. We have used binding site selection, targeted mutagenesis and binding affinity studies to define the optimum DNA recognition sequence for these single-chain proteins. It is shown that RR69 recognizes DNA sequences containing the consensus boxes of the 434 operators in a palindromic arrangement, and that RR*69 optimally binds to non-palindromic sequences containing a 434 operator box and a TTAA box of which the latter is present in most P22 operators. The spacing of these boxes, as in the 434 operators, is 6 bp. The DNA-binding of both single-chain repressors, similar to that of the 434 repressor, is influenced indirectly by the sequence of the non-contacted, spacer region. Thus, high affinity binding is dependent on both direct and indirect recognition. Nonetheless, the single-chain framework can accommodate certain substitutions to obtain altered DNA-binding specificity and RR*69 represents an example for the combination of altered direct and unchanged indirect readout mechanisms.

Single-chain repressors containing engineered DNA-binding domains of the phage 434 repressor recognize symmetric or asymmetric DNA operators

Single-chain (sc) DNA-binding proteins containing covalently dimerized N-terminal domains of the bacteriophage 434 repressor cI have been constructed. The DNA-binding domains (amino acid residues 1 to 69) were connected in a head-to-tail arrangement with a part of the natural linker sequence that connects the N and C-terminal domains of the intact repressor. Compared to the isolated N-terminal DNA-binding domain, the sc molecule showed at least 100-fold higher binding affinity in vitro and a slightly stronger repression in vivo. The recognition of the symmetric O(R)1 operator sequence by this sc homodimer was indistinguishable from that of the naturally dimerized repressor in terms of binding affinity, DNase I protection pattern and in vivo repressor function. Using the new, sc framework, mutant proteins with altered DNA-binding specificity have also been constructed. Substitution of the DNA-contacting amino acid residues of the recognition helix in one of the domains with the corresponding residues of the Salmonella phage P22 repressor c2 resulted in a sc heterodimer of altered specificity. This new heterodimeric molecule recognized an asymmetric, artificial 434-P22 chimeric operator with high affinity. Similar substitutions in both 434 domains have led to a new sc homodimer which showed high affinity binding to a natural, symmetric P22 operator. These findings, supported by both in vitro and in vivo experiments, show that the sc architecture allows for the introduction of independent changes in the binding domains and suggest that this new protein framework could be used to generate new specificities in protein-DNA interaction.

Efficient repression by a heterodimeric repressor in Escherichia coli

Previous studies with purified variants of the 434 repressor having different operator-binding specificities have demonstrated the interactions of a heterodimeric repressor with a hybrid operator site. The present study investigates the interactions between the 434 repressor and its operator site. The optimum 434 operator half-site is used with a P22 operator half-site to create a hybrid 434/P22 operator. We show that this hybrid operator can be efficiently bound by a heterodimeric repressor, consisting of one wild-type 434 repressor monomer and one 434 repressor monomer with the binding specificity of the P22 repressor, to bring about repression in Escherichia coli.

DNA binding properties of the purified Antennapedia homeodomain

The in vitro DNA binding properties of a purified 68-amino acid Antennapedia homeodomain (Antp HD) peptide have been analyzed. Equilibrium and kinetic binding studies showed that stable DNA-protein complexes are formed with a Kd of 1.6 x 10(-9) M and 1.8 x 10(-10) M, respectively. Heterodimer analysis led to the conclusion that Antp HD interacts in vitro as a monomer with the DNA target sites used in our study. The results of methylation and ethylation interference studies indicated that the Antp HD closely approaches the target DNA primarily from one side in a region extending across three phosphate backbones. The DNA binding properties of the Antp HD and prokaryotic DNA binding domains that share a helix-turn-helix motif are compared.

How eukaryotic transcriptional activators work

A specific protein, bound to DNA, can activate transcription of a wide array of genes in many eukaryotes. Further analysis suggests a general outline for how eukaryotic transcriptional activators function and are controlled.