Rapid Screen for Tyrosine Kinase Inhibitor Resistance Mutations and Substrate Specificity.

We present a rapid and high-throughput yeast and flow cytometry based method for predicting kinase inhibitor resistance mutations and determining kinase peptide substrate specificity. Despite the widespread success of targeted kinase inhibitors as cancer therapeutics, resistance mutations arising within the kinase domain of an oncogenic target present a major impediment to sustained treatment efficacy. Our method, which is based on the previously reported YESS system, recapitulated all validated BCR-ABL1 mutations leading to clinical resistance to the second-generation inhibitor dasatinib, in addition to identifying numerous other mutations which have been previously observed in patients, but not yet validated as drivers of resistance. Further, we were able to demonstrate that the newer inhibitor ponatinib is effective against the majority of known single resistance mutations, but ineffective at inhibiting many compound mutants. These results are consistent with preliminary clinical and in vitro reports, indicating that mutations providing resistance to ponatinib are significantly less common; therefore, predicting ponatinib will be less susceptible to clinical resistance relative to dasatinib. Using the same yeast-based method, but with random substrate libraries, we were able to identify consensus peptide substrate preferences for the SRC and LYN kinases. ABL1 lacked an obvious consensus sequence, so a machine learning algorithm utilizing amino acid covariances was developed which accurately predicts ABL1 kinase peptide substrates.

BioSITe: A Method for Direct Detection and Quantitation of Site-Specific Biotinylation.

Biotin-based labeling strategies are widely employed to study protein-protein interactions, subcellular proteomes and post-translational modifications, as well as, used in drug discovery. While the high affinity of streptavidin for biotin greatly facilitates the capture of biotinylated proteins, it still presents a challenge, as currently employed, for the recovery of biotinylated peptides. Here we describe a strategy designated Biotinylation Site Identification Technology (BioSITe) for the capture of biotinylated peptides for LC-MS/MS analyses. We demonstrate the utility of BioSITe when applied to proximity-dependent labeling methods, APEX and BioID, as well as biotin-based click chemistry strategies for identifying O-GlcNAc-modified sites. We demonstrate the use of isotopically labeled biotin for quantitative BioSITe experiments that simplify differential interactome analysis and obviate the need for metabolic labeling strategies such as SILAC. Our data also highlight the potential value of site-specific biotinylation in providing spatial and topological information about proteins and protein complexes. Overall, we anticipate that BioSITe will replace the conventional methods in studies where detection of biotinylation sites is important.

Structural and functional dissection of the DH and PH domains of oncogenic Bcr-Abl tyrosine kinase.

The two isoforms of the Bcr-Abl tyrosine kinase, p210 and p190, are associated with different leukemias and have a dramatically different signaling network, despite similar kinase activity. To provide a molecular rationale for these observations, we study the Dbl-homology (DH) and Pleckstrin-homology (PH) domains of Bcr-Abl p210, which constitute the only structural differences to p190. Here we report high-resolution structures of the DH and PH domains and characterize conformations of the DH-PH unit in solution. Our structural and functional analyses show no evidence that the DH domain acts as a guanine nucleotide exchange factor, whereas the PH domain binds to various phosphatidylinositol-phosphates. PH-domain mutants alter subcellular localization and result in decreased interactions with p210-selective interaction partners. Hence, the PH domain, but not the DH domain, plays an important role in the formation of the differential p210 and p190 Bcr-Abl signaling networks.

Identification and Characterization of Tyrosine Kinase Nonreceptor 2 Mutations in Leukemia through Integration of Kinase Inhibitor Screening and Genomic Analysis.

The amount of genomic information about leukemia cells currently far exceeds our overall understanding of the precise genetic events that ultimately drive disease development and progression. Effective implementation of personalized medicine will require tools to distinguish actionable genetic alterations within the complex genetic landscape of leukemia. In this study, we performed kinase inhibitor screens to predict functional gene targets in primary specimens from patients with acute myeloid leukemia and chronic myelomonocytic leukemia. Deep sequencing of the same patient specimens identified genetic alterations that were then integrated with the functionally important targets using the HitWalker algorithm to prioritize the mutant genes that most likely explain the observed drug sensitivity patterns. Through this process, we identified tyrosine kinase nonreceptor 2 (TNK2) point mutations that exhibited oncogenic capacity. Importantly, the integration of functional and genomic data using HitWalker allowed for prioritization of rare oncogenic mutations that may have been missed through genomic analysis alone. These mutations were sensitive to the multikinase inhibitor dasatinib, which antagonizes TNK2 kinase activity, as well as novel TNK2 inhibitors, XMD8-87 and XMD16-5, with greater target specificity. We also identified activating truncation mutations in other tumor types that were sensitive to XMD8-87 and XMD16-5, exemplifying the potential utility of these compounds across tumor types dependent on TNK2. Collectively, our findings highlight a more sensitive approach for identifying actionable genomic lesions that may be infrequently mutated or overlooked and provide a new method for the prioritization of candidate genetic mutations.

Structure and assembly of the mouse ASC inflammasome by combined NMR spectroscopy and cryo-electron microscopy.

Inflammasomes are multiprotein complexes that control the innate immune response by activating caspase-1, thus promoting the secretion of cytokines in response to invading pathogens and endogenous triggers. Assembly of inflammasomes is induced by activation of a receptor protein. Many inflammasome receptors require the adapter protein ASC [apoptosis-associated speck-like protein containing a caspase-recruitment domain (CARD)], which consists of two domains, the N-terminal pyrin domain (PYD) and the C-terminal CARD. Upon activation, ASC forms large oligomeric filaments, which facilitate procaspase-1 recruitment. Here, we characterize the structure and filament formation of mouse ASC in vitro at atomic resolution. Information from cryo-electron microscopy and solid-state NMR spectroscopy is combined in a single structure calculation to obtain the atomic-resolution structure of the ASC filament. Perturbations of NMR resonances upon filament formation monitor the specific binding interfaces of ASC-PYD association. Importantly, NMR experiments show the rigidity of the PYD forming the core of the filament as well as the high mobility of the CARD relative to this core. The findings are validated by structure-based mutagenesis experiments in cultured macrophages. The 3D structure of the mouse ASC-PYD filament is highly similar to the recently determined human ASC-PYD filament, suggesting evolutionary conservation of ASC-dependent inflammasome mechanisms.

Kinase Regulation in Mycobacterium tuberculosis: Variations on a Theme.

In this issue of Structure, Lisa et al. (2015) examine how the PknG protein kinase of M. tuberculosis efficiently binds and phosphorylates substrates. The work highlights interesting parallels between PknG and eukaryotic protein kinases.

Time-shared experiments for efficient assignment of triple-selectively labeled proteins.

Combinatorial triple-selective labeling facilitates the NMR assignment process for proteins that are subject to signal overlap and insufficient signal-to-noise in standard triple-resonance experiments. Aiming at maximum amino-acid type and sequence-specific information, the method represents a trade-off between the number of selectively labeled samples that have to be prepared and the number of spectra to be recorded per sample. In order to address the demand of long measurement times, we here propose pulse sequences in which individual phase-shifted transients are stored separately and recombined later to produce several 2D HN(CX) type spectra that are usually acquired sequentially. Sign encoding by the phases of (13)C 90° pulses allows to either select or discriminate against (13)C' or (13)C(α) spins coupled to (15)N. As a result, (1)H-(15)N correlation maps of the various isotopomeric species present in triple-selectively labeled proteins are deconvoluted which in turn reduces problems due to spectral overlap. The new methods are demonstrated with four different membrane proteins with rotational correlation times ranging from 18 to 52 ns.

Characterization of the ground state dynamics of proteorhodopsin by NMR and optical spectroscopies.

We characterized the dynamics of proteorhodopsin (PR), solubilized in diC7PC, a detergent micelle, by liquid-state NMR spectroscopy at T = 323 K. Insights into the dynamics of PR at different time scales could be obtained and dynamic hot spots could be identified at distinct, functionally relevant regions of the protein, including the BC loop, the EF loop, the N-terminal part of helix F and the C-terminal part of helix G. We further characterize the dependence of the photocycle on different detergents (n-Dodecyl ß-D-maltoside DDM; 1,2-diheptanoyl-sn-glycero-3-phosphocholine diC7PC) by ultrafast time-resolved UV/VIS spectroscopy. While the photocycle intermediates of PR in diC7PC and DDM exhibit highly similar spectral characteristics, significant changes in the population of these intermediates are observed. In-situ NMR experiments have been applied to characterize structural changes during the photocycle. Light-induced chemical shift changes detected during the photocycle in diC7PC are very small, in line with the changes in the population of intermediates in the photocycle of proteorhodopsin in diC7PC, where the late O-intermediate populated in DDM is missing and the population is shifted towards an equilibrium of intermediates states (M, N, O) without accumulation of a single populated intermediate.

Requirements on paramagnetic relaxation enhancement data for membrane protein structure determination by NMR.

Nuclear magnetic resonance (NMR) structure calculations of the α-helical integral membrane proteins DsbB, GlpG, and halorhodopsin show that distance restraints from paramagnetic relaxation enhancement (PRE) can provide sufficient structural information to determine their structure with an accuracy of about 1.5 Å in the absence of other long-range conformational restraints. Our systematic study with simulated NMR data shows that about one spin label per transmembrane helix is necessary for obtaining enough PRE distance restraints to exclude wrong topologies, such as pseudo mirror images, if only limited other NMR restraints are available. Consequently, an experimentally realistic amount of PRE data enables α-helical membrane protein structure determinations that would not be feasible with the very limited amount of conventional NOESY data normally available for these systems. These findings are in line with our recent first de novo NMR structure determination of a heptahelical integral membrane protein, proteorhodopsin, that relied extensively on PRE data.

In-cell solid-state NMR as a tool to study proteins in large complexes.

A major limitation of solution NMR is molecular tumbling, which is often too slow for detection. Here we demonstrate that solid-state NMR spectroscopy in combination with flash freezing of cells can be used to detect proteins in the cellular environment and provides information on backbone chemical shifts.

Combinatorial triple-selective labeling as a tool to assist membrane protein backbone resonance assignment.

Obtaining NMR assignments for slowly tumbling molecules such as detergent-solubilized membrane proteins is often compromised by low sensitivity as well as spectral overlap. Both problems can be addressed by amino-acid specific isotope labeling in conjunction with (15)N-(1)H correlation experiments. In this work an extended combinatorial selective in vitro labeling scheme is proposed that seeks to reduce the number of samples required for assignment. Including three different species of amino acids in each sample, (15)N, 1-(13)C, and fully (13)C/(15)N labeled, permits identification of more amino acid types and sequential pairs than would be possible with previously published combinatorial methods. The new protocol involves recording of up to five 2D triple-resonance experiments to distinguish the various isotopomeric dipeptide species. The pattern of backbone NH cross peaks in this series of spectra adds a new dimension to the combinatorial grid, which otherwise mostly relies on comparison of [(15)N, (1)H]-HSQC and possibly 2D HN(CO) spectra of samples with different labeled amino acid compositions. Application to two α-helical membrane proteins shows that using no more than three samples information can be accumulated such that backbone assignments can be completed solely based on 3D HNCA/HN(CO)CA experiments. Alternatively, in the case of severe signal overlap in certain regions of the standard suite of triple-resonance spectra acquired on uniformly labeled protein, or missing signals due to a lack of efficiency of 3D experiments, the remaining gaps can be filled.

Improved accuracy in measuring one-bond and two-bond (15)N, (13)C (α) coupling constants in proteins by double-inphase/antiphase (DIPAP) spectroscopy.

An extension to HN(CO-α/ß-N,C(α)-J)-TROSY (Permi and Annila in J Biomol NMR 16:221-227, 2000) is proposed that permits the simultaneous determination of the four coupling constants (1) J (N'(i)Cα(i)), (2) J (HN(i)Cα(i)), (2) J (Cα(i-1)N'(i)), and (3) J (Cα(i-1)HN(i)) in (15)N,(13)C-labeled proteins. Contrasting the original scheme, in which two separate subspectra exhibit the (2) J (CαN') coupling as inphase and antiphase splitting (IPAP), we here record four subspectra that exhibit all combinations of inphase and antiphase splittings possible with respect to both (2) J (CαN') and (1) J (N'Cα) (DIPAP). Complementary sign patterns in the different spectrum constituents overdetermine the coupling constants which can thus be extracted at higher accuracy than is possible with the original experiment. Fully exploiting data redundance, simultaneous 2D lineshape fitting of the E.COSY multiplet tilts in all four subspectra provides all coupling constants at ultimate precision. Cross-correlation and differential-relaxation effects were taken into account in the evaluation procedure. By applying a four-point Fourier transform, the set of spectra is reversibly interconverted between DIPAP and spin-state representations. Methods are exemplified using proteins of various size.

Optimization of amino acid type-specific 13C and 15N labeling for the backbone assignment of membrane proteins by solution- and solid-state NMR with the UPLABEL algorithm.

We present a computational method for finding optimal labeling patterns for the backbone assignment of membrane proteins and other large proteins that cannot be assigned by conventional strategies. Following the approach of Kainosho and Tsuji (Biochemistry 21:6273-6279 (1982)), types of amino acids are labeled with (13)C or/and (15)N such that cross peaks between (13)CO(i - 1) and (15)NH(i) result only for pairs of sequentially adjacent amino acids of which the first is labeled with (13)C and the second with (15)N. In this way, unambiguous sequence-specific assignments can be obtained for unique pairs of amino acids that occur exactly once in the sequence of the protein. To be practical, it is crucial to limit the number of differently labeled protein samples that have to be prepared while obtaining an optimal extent of labeled unique amino acid pairs. Our computer algorithm UPLABEL for optimal unique pair labeling, implemented in the program CYANA and in a standalone program, and also available through a web portal, uses combinatorial optimization to find for a given amino acid sequence labeling patterns that maximize the number of unique pair assignments with a minimal number of differently labeled protein samples. Various auxiliary conditions, including labeled amino acid availability and price, previously known partial assignments, and sequence regions of particular interest can be taken into account when determining optimal amino acid type-specific labeling patterns. The method is illustrated for the assignment of the human G-protein coupled receptor bradykinin B2 (B(2)R) and applied as a starting point for the backbone assignment of the membrane protein proteorhodopsin.

Strategies for the cell-free expression of membrane proteins.

Cell-free expression offers an interesting alternative method to produce membrane proteins in high amounts. Elimination of toxicity problems, reduced proteolytic degradation and a nearly unrestricted option to supply potentially beneficial compounds like cofactors, ligands or chaperones into the reaction are general advantages of cell-free expression systems. Furthermore, the membrane proteins may be translated directly into appropriate hydrophobic and membrane-mimetic surrogates, which might offer significant benefits for the functional folding of the synthesized proteins. Cell-free expression is a rapidly developing and highly versatile technique and several systems of both, prokaryotic and eukaryotic origins, have been established. We provide protocols for the cell-free expression of membrane proteins in different modes including their expression as precipitate as well as their direct synthesis into detergent micelles or lipid bilayers.

Cell-free expression and stable isotope labelling strategies for membrane proteins.

Membrane proteins are highly underrepresented in the structural data-base and remain one of the most challenging targets for functional and structural elucidation. Their roles in transport and cellular communication, furthermore, often make over-expression toxic to their host, and their hydrophobicity and structural complexity make isolation and reconstitution a complicated task, especially in cases where proteins are targeted to inclusion bodies. The development of cell-free expression systems provides a very interesting alternative to cell-based systems, since it circumvents many problems such as toxicity or necessity for the transportation of the synthesized protein to the membrane, and constitutes the only system that allows for direct production of membrane proteins in membrane-mimetic environments which may be suitable for liquid state NMR measurements. The unique advantages of the cell-free expression system, including strong expression yields as well as the direct incorporation of almost any combination of amino acids with very little metabolic scrambling, has allowed for the development of a wide-array of isotope labelling techniques which facilitate structural investigations of proteins whose spectral congestion and broad line-widths may have earlier rendered them beyond the scope of NMR. Here we explore various labelling strategies in conjunction with cell-free developments, with a particular focus on alpha-helical transmembrane proteins which benefit most from such methods.

The molecular pharmacology and in vivo activity of 2-(4-chloro-6-(2,3-dimethylphenylamino)pyrimidin-2-ylthio)octanoic acid (YS121), a dual inhibitor of microsomal prostaglandin E2 synthase-1 and 5-lipoxygenase.

The microsomal prostaglandin E(2) synthase (mPGES)-1 is one of the terminal isoenzymes of prostaglandin (PG) E(2) biosynthesis. Pharmacological inhibitors of mPGES-1 are proposed as an alternative to nonsteroidal anti-inflammatory drugs. We recently presented the design and synthesis of a series of pirinixic acid derivatives that dually inhibit mPGES-1 and 5-lipoxygenase. Here, we investigated the mechanism of mPGES-1 inhibition, the selectivity profile, and the in vivo activity of alpha-(n-hexyl)-substituted pirinixic acid [YS121; 2-(4-chloro-6-(2,3-dimethylphenylamino)pyrimidin-2-ylthio)octanoic acid)] as a lead compound. In cell-free assays, YS121 inhibited human mPGES-1 in a reversible and noncompetitive manner (IC(50) = 3.4 muM), and surface plasmon resonance spectroscopy studies using purified in vitro-translated human mPGES-1 indicate direct, reversible, and specific binding to mPGES-1 (K(D) = 10-14 muM). In lipopolysaccharide-stimulated human whole blood, PGE(2) formation was concentration dependently inhibited (IC(50) = 2 muM), whereas concomitant generation of the cyclooxygenase (COX)-2-derived thromboxane B(2) and 6-keto PGF(1alpha) and the COX-1-derived 12(S)-hydroxy-5-cis-8,10-trans-heptadecatrienoic acid was not significantly reduced. In carrageenan-induced rat pleurisy, YS121 (1.5 mg/kg i.p.) blocked exudate formation and leukocyte infiltration accompanied by reduced pleural levels of PGE(2) and leukotriene B(4) but also of 6-keto PGF(1alpha). Taken together, these results indicate that YS121 is a promising inhibitor of mPGES-1 with anti-inflammatory efficiency in human whole blood as well as in vivo.

Transmembrane segment enhanced labeling as a tool for the backbone assignment of alpha-helical membrane proteins.

Recent advances in cell-free expression protocols have opened a new avenue toward high-resolution structural investigations of membrane proteins by x-ray crystallography and NMR spectroscopy. One of the biggest challenges for liquid-state NMR-based structural investigations of membrane proteins is the significant peak overlap in the spectra caused by large line widths and limited chemical shift dispersion of alpha-helical proteins. Contributing to the limited chemical shift dispersion is the fact that approximately 60% of the amino acids in transmembrane regions consist of only six different amino acid types. This principle disadvantage, however, can be exploited to aid in the assignment of the backbone resonances of membrane proteins; by (15)N/(13)C-double-labeling of these six amino acid types, sequential connectivities can be obtained for large stretches of the transmembrane segments where number and length of stretches consisting exclusively of these six amino acid types are enhanced compared with the remainder of the protein. We show by experiment as well as by statistical analysis that this labeling scheme provides a large number of sequential connectivities in transmembrane regions and thus constitutes a tool for the efficient assignment of membrane protein backbone resonances.

Preparative scale expression of membrane proteins in Escherichia coli-based continuous exchange cell-free systems.

Cell-free expression is emerging as a prime method for the rapid production of preparative quantities of high-quality membrane protein samples. The technology facilitates easy access to large numbers of proteins that have been extremely difficult to obtain. Most frequently used are cell-free systems based on extracts of Escherichia coli cells, and the reaction procedures are reliable and efficient. This protocol describes the preparation of all essential reaction components such as the E. coli cell extract, T7 RNA polymerase, DNA templates as well as the individual stock solutions. The setups of expression reactions in analytical and preparative scales, including a variety of reaction designs, are illustrated. We provide detailed reaction schemes that allow the preparation of milligram amounts of functionally folded membrane proteins of prokaryotic and eukaryotic origin in less than 24 h.