YAP/TEAD involvement in resistance to paclitaxel chemotherapy in lung cancer.

The Yes-associated protein (YAP) oncoprotein has been linked to both metastases and resistance to targeted therapy of lung cancer cells. We aimed to investigate the effect of YAP pharmacological inhibition, using YAP/TEA domain (TEAD) transcription factor interaction inhibitors in chemo-resistant lung cancer cells. YAP subcellular localization, as a readout for YAP activation, cell migration, and TEAD transcription factor functional transcriptional activity were investigated in cancer cell lines with up-regulated YAP, with and without YAP/TEAD interaction inhibitors. Parental (A549) and paclitaxel-resistant (A549R) cell transcriptomes were analyzed. The half-maximal inhibitory concentration (IC50) of paclitaxel or trametinib, which are Mitogen-Activated protein kinase and Erk Kinase (MEK) inhibitors, combined with a YAP/TEAD inhibitor (IV#6), was determined. A three-dimensional (3D) microfluidic culture device enabled us to study the effect of IV#6/paclitaxel combination on cancer cells isolated from fresh resected lung cancer samples. YAP activity was significantly higher in paclitaxel-resistant cell lines. The YAP/TEAD inhibitor induced a decreased YAP activity in A549, PC9, and H2052 cells, with reduced YAP nuclear staining. Wound healing assays upon YAP inhibition revealed impaired cell motility of lung cancer A549 and mesothelioma H2052 cells. Combining YAP pharmacological inhibition with trametinib in K-Ras mutated A549 cells recapitulated synthetic lethality, thereby sensitizing these cells to MEK inhibition. The YAP/TEAD inhibitor lowered the IC50 of paclitaxel in A549R cells. Differential transcriptomic analysis of parental and A549R cells revealed an increased YAP/TEAD transcriptomic signature in resistant cells, downregulated upon YAP inhibition. The YAP/TEAD inhibitor restored paclitaxel sensitivity of A549R cells cultured in a 3D microfluidic system, with lung cancer cells from a fresh tumor efficiently killed by YAP/TEAD inhibitor/paclitaxel doublet. Evidence of the YAP/TEAD transcriptional program's role in chemotherapy resistance paves the way for YAP therapeutic targeting.

Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis.

One of the major problems in bioimaging, often highly underestimated, is whether features extracted for a discrimination or regression task will remain valid for a broader set of similar experiments or in the presence of unpredictable perturbations during the image acquisition process. Such an issue is even more important when it is addressed in the context of deep learning features due to the lack of a priori known relationship between the black-box descriptors (deep features) and the phenotypic properties of the biological entities under study. In this regard, the widespread use of descriptors, such as those coming from pre-trained Convolutional Neural Networks (CNNs), is hindered by the fact that they are devoid of apparent physical meaning and strongly subjected to unspecific biases, i.e., features that do not depend on the cell phenotypes, but rather on acquisition artifacts, such as brightness or texture changes, focus shifts, autofluorescence or photobleaching. The proposed Deep-Manager software platform offers the possibility to efficiently select those features having lower sensitivity to unspecific disturbances and, at the same time, a high discriminating power. Deep-Manager can be used in the context of both handcrafted and deep features. The unprecedented performances of the method are proven using five different case studies, ranging from selecting handcrafted green fluorescence protein intensity features in chemotherapy-related breast cancer cell death investigation to addressing problems related to the context of Deep Transfer Learning. Deep-Manager, freely available at https://github.com/BEEuniroma2/Deep-Manager , is suitable for use in many fields of bioimaging and is conceived to be constantly upgraded with novel image acquisition perturbations and modalities.

Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments.

We describe a novel method to achieve a universal, massive, and fully automated analysis of cell motility behaviours, starting from time-lapse microscopy images. The approach was inspired by the recent successes in application of machine learning for style recognition in paintings and artistic style transfer. The originality of the method relies i) on the generation of atlas from the collection of single-cell trajectories in order to visually encode the multiple descriptors of cell motility, and ii) on the application of pre-trained Deep Learning Convolutional Neural Network architecture in order to extract relevant features to be used for classification tasks from this visual atlas. Validation tests were conducted on two different cell motility scenarios: 1) a 3D biomimetic gels of immune cells, co-cultured with breast cancer cells in organ-on-chip devices, upon treatment with an immunotherapy drug; 2) Petri dishes of clustered prostate cancer cells, upon treatment with a chemotherapy drug. For each scenario, single-cell trajectories are very accurately classified according to the presence or not of the drugs. This original approach demonstrates the existence of universal features in cell motility (a so called "motility style") which are identified by the DL approach in the rationale of discovering the unknown message in cell trajectories.

The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applications.

Cell-cell interactions are an observable manifestation of underlying complex biological processes occurring in response to diversified biochemical stimuli. Recent experiments with microfluidic devices and live cell imaging show that it is possible to characterize cell kinematics via computerized algorithms and unravel the effects of targeted therapies. We study the influence of spatial and temporal resolutions of time-lapse videos on motility and interaction descriptors with computational models that mimic the interaction dynamics among cells. We show that the experimental set-up of time-lapse microscopy has a direct impact on the cell tracking algorithm and on the derived numerical descriptors. We also show that, when comparing kinematic descriptors in two diverse experimental conditions, too low resolutions may alter the descriptors' discriminative power, and so the statistical significance of the difference between the two compared distributions. The conclusions derived from the computational models were experimentally confirmed by a series of video-microscopy acquisitions of co-cultures of unlabelled human cancer and immune cells embedded in 3D collagen gels within microfluidic devices. We argue that the experimental protocol of acquisition should be adapted to the specific kind of analysis involved and to the chosen descriptors in order to derive reliable conclusions and avoid biasing the interpretation of results.

Interplay of RhoA and mechanical forces in collective cell migration driven by leader cells.

The leading front of a collectively migrating epithelium often destabilizes into multicellular migration fingers where a cell initially similar to the others becomes a leader cell while its neighbours do not alter. The determinants of these leader cells include mechanical and biochemical cues, often under the control of small GTPases. However, an accurate dynamic cartography of both mechanical and biochemical activities remains to be established. Here, by mapping the mechanical traction forces exerted on the surface by MDCK migration fingers, we show that these structures are mechanical global entities with the leader cells exerting a large traction force. Moreover, the spatial distribution of RhoA differential activity at the basal plane strikingly mirrors this force cartography. We propose that RhoA controls the development of these fingers through mechanical cues: the leader cell drags the structure and the peripheral pluricellular acto-myosin cable prevents the initiation of new leader cells.

Spatiotemporal regulation of the Pak1 kinase.

Pak1 (p21-activated kinase 1) is a key regulator of the actin cytoskeleton, adhesion and cell motility. Such biological roles require a tight spatial and kinetic control of its localization and activity. We summarize here the current knowledge on Pak1 dynamics in vivo. Inactive dimeric Pak1 is mainly cytosolic. Localized interaction with the activators Cdc42-GTP and Rac1-GTP stimulates the kinase at the sites of cellular protrusions. Moreover, Pak1 is dynamically engaged into multiprotein complexes forming adhesions to the extracellular matrix. Cutting edge microscopy technologies on living cells are finally shedding light on the intricate spatiotemporal mechanisms regulating Pak1.

Structure of PAK1 in an autoinhibited conformation reveals a multistage activation switch.

The p21-activated kinases (PAKs), stimulated by binding with GTP-liganded forms of Cdc42 or Rac, modulate cytoskeletal actin assembly and activate MAP-kinase pathways. The 2.3 A resolution crystal structure of a complex between the N-terminal autoregulatory fragment and the C-terminal kinase domain of PAK1 shows that GTPase binding will trigger a series of conformational changes, beginning with disruption of a PAK1 dimer and ending with rearrangement of the kinase active site into a catalytically competent state. An inhibitory switch (IS) domain, which overlaps the GTPase binding region of PAK1, positions a polypeptide segment across the kinase cleft. GTPase binding will refold part of the IS domain and unfold the rest. A related switch has been seen in the Wiskott-Aldrich syndrome protein (WASP).

Cdc42 is required for PIP(2)-induced actin polymerization and early development but not for cell viability.

BACKGROUND: Cdc42 and other Rho GTPases are conserved from yeast to humans and are thought to regulate multiple cellular functions by inducing coordinated changes in actin reorganization and by activating signaling pathways leading to specific gene expression. Direct evidence implicating upstream signals and components that regulate Cdc42 activity or for required roles of Cdc42 in activation of downstream protein kinase signaling cascades is minimal, however. Also, whereas genetic analyses have shown that Cdc42 is essential for cell viability in yeast, its potential roles in the growth and development of mammalian cells have not been directly assessed. RESULTS: To elucidate potential functions of Cdc42 mammalian cells, we used gene-targeted mutation to inactivate Cdc42 in mouse embryonic stem (ES) cells and in the mouse germline. Surprisingly, Cdc42-deficient ES cells exhibited normal proliferation and phosphorylation of mitogen- and stress-activated protein kinases. Yet Cdc42 deficiency caused very early embryonic lethality in mice and led to aberrant actin cytoskeletal organization in ES cells. Moreover, extracts from Cdc42-deficient cells failed to support phosphatidylinositol 4,5-bisphosphate (PIP(2))-induced actin polymerization. CONCLUSIONS: Our studies clearly demonstrate that Cdc42 mediates PIP(2)-induced actin assembly, and document a critical and unique role for Cdc42 in this process. Moreover, we conclude that, unexpectedly, Cdc42 is not necessary for viability or proliferation of mammalian early embryonic cells. Cdc42 is, however, absolutely required for early mammalian development.

Engineering temperature-sensitive SH3 domains.

BACKGROUND: The ability to control specific protein-protein interactions conditionally in vivo would be extremely helpful for analyzing protein-protein interaction networks. SH3 (Src homology 3) modular protein binding domains are found in many signaling proteins and they play a crucial role in signal transduction by binding to proline-rich sequences. RESULTS: Random in vitro mutagenesis coupled with yeast two-hybrid screening was used to identify mutations in the second SH3 domain of Nck that render interaction with its ligand temperature sensitive. Four of the mutants were functionally temperature sensitive in mammalian cells, where temperature sensitivity was correlated with a pronounced instability of the mutant domains at the nonpermissive temperature. Two of the mutations affect conserved residues in the hydrophobic core (Val133 and Val160), suggesting a general strategy for engineering temperature-sensitive SH3-containing proteins. Indeed mutagenesis of the corresponding positions in another SH3 domain, that of Crk-1, rendered the full-length Crk-1 protein temperature sensitive for function and stability in mammalian cells. CONCLUSIONS: Construction of temperature-sensitive SH3 domains is a novel approach to regulating the function of SH3 domains in vivo. Such mutants will be valuable in dissecting SH3-mediated signaling pathways. Furthermore, the methodology described here to isolate temperature-sensitive domains should be widely applicable to any domain involved in protein-protein interactions.

A new function of p120-GTPase-activating protein. Prevention of the guanine nucleotide exchange factor-stimulated nucleotide exchange on the active form of Ha-ras p21.

This work studies the coordination of the action of GTPase-activating protein (GAP) and guanine nucleotide exchange factor (GEF) on activated human c-Ha-Ras p21. Purified human p120-GAP was obtained with a new efficient procedure. To distinguish the GTPase-activating effect of p120-GAP from other effects dependent on the interaction with activated Ha-Ras, the nonhydrolyzable GTP analogue guanosine 5'-O-(thiotriphosphate) (GTPgammaS) was used. The results showed that the GTPgammaS/GTPgammaS exchange enhanced by the C-terminal catalytic domain of the yeast GEF Sdc25p (C-Sdc25p) is prevented by p120-GAP. This effect is strictly specific for the activated form of Ha-Ras, the target of GAP; no effect on Ha-Ras.GDP was detectable. The GAP catalytic domain also inhibited C-Sdc25p but to a lower extent. The interfering effect by p120-GAP was also evident in a homologous mammalian system, using full-length mouse RasGEF, its C-terminal half-molecule, or C-terminal catalytic domain. As a consequence of this inhibition, presence of p120-GAP enhanced the regeneration of Ha-Ras.GTPgammaS by GEF at a GDP:GTPgammaS ratio mimicking the in vivo GDP:GTP ratio. Our work describes a novel function of p120-GAP and suggests a mechanism by which GAP protects Ha-Ras.GTP in vivo against unproductive exchanges. This constrain is likely involved in the regulation of the physiological GDP/GTP cycle of Ras and in the action of p120-GAP as downstream effector of Ras. Helix alpha3 is proposed as a Ras element playing a key-role in the interference between GAP and GEF on Ras.

Determinants of Ras proteins specifying the sensitivity to yeast Ira2p and human p120-GAP.

Human and Saccharomyces cerevisiae Ras proteins and their regulators GAP (GTPase activating protein)and GEF (guanine nucleotide exchange factor) display structural similarities and are functionally interchangeable in vivo and in vitro, indicating that the molecular mechanism regulating Ras proteins has been conserved during evolution. As the only exceptions, the two S.cerevisiae GAPs, Ira1p and Ira2p, are strictly specific for yeast Ras proteins and cannot stimulate the GTPase of mammalian Ras. This study searches for the reasons for the different sensitivity to Ira2p of human H-ras p21 and yeast Ras2p. Construction of H-ras/Ras2p chimaeras showed that Gly18 of Ras2p (Ala11 of H-ras p21) is an important determinant for the specificity of Ira2p, revealing for the first time a function for this position. A second even more crucial determinant was found to be the 89-102 region of Ras2p (82-95 of H-ras p21) including the distal part of strand beta4, loop L6 and the proximal part of helix alpha3. It was possible to construct Ras2p's resistant to Ira2p but still sensitive to human p120-GAP and, conversely, a H-ras p21 sensitive to Ira2p. This work helps clarify specific aspects of the conserved molecular mechanism of interaction between Ras proteins and their negative GAP regulators.

Properties and regulation of the catalytic domain of Ira2p, a Saccharomyces cerevisiae GTPase-activating protein of Ras2p.

This work describes the biochemical characterization of the catalytic domain of Ira2p, a Saccharomyces cerevisiae GTPase-activating protein (GAP) regulating the RAS gene products. A fragment of 383 residues (amino acids 1644-2026) was produced in Escherichia coli as glutathione S-transferase fusion protein (GST-Ira2p-383) and highly purified (> 90%) by affinity chromatography. The affinity of Ras2p for the GST-fused Ira2p-383 was 18 microM and the maximal stimulation of the Ras2p GTPase activity 6,000 times. The Ira2p activity was confirmed to be strictly specific for Ras2p, no stimulatory effect on human c-H-ras p21 GTPase being detectable. Comparison with the GAP-like domain of mammalian p120-GAP and neurofibromin using yeast Ras2p as substrate showed that Ira2p-383 has an affinity and turnover intermediary between GAP-334 and NF1-414. The activity of Ira2p-383 was strongly inhibited by monovalent and divalent salts. The simultaneous presence of the catalytic domains of Ira2p and the yeast GDP/GTP exchange factor Cdc25p induced on Ras2p a multiple-round reaction of GTP hydrolysis and GDP/GTP exchange, showing that it is possible to reconstitute in vitro a S. cerevisiae system suitable for the study of the regulation of the Ras2p GDP/GTP cycle. The tubulin partially inhibited (25%) the GAP activity of the Ira2p-383. A larger Ira2p catalytic fragment, Ira2p-505 (amino acids 1549-2053), that showed the same Km for Ras2p as Ira2p-383, was also inhibited by tubulin to the same extent but with a higher affinity than Ira2p-383.(ABSTRACT TRUNCATED AT 250 WORDS)

Properties of the catalytic domain of CDC25, a Saccharomyces cerevisiae GDP/GTP exchange factor: comparison of its activity on full-length and C-terminal truncated RAS2 proteins.

Two C-terminal fragments (334 and 509 amino acid residues) of CDC25, a Saccharomyces cerevisiae GDP/GTP exchange factor, and the RAS2 protein were purified from E. coli, using the pGEX system. With this method it was possible to avoid in part the proteolytic phenomena that usually convert full-length RAS2 (42kDa) into 37 and 30kDa forms. Of the two CDC25 fragments containing the conserved catalytic domain, only CDC25-509 could enhance the guanine nucleotide exchange on RAS2. Comparison of the activities of RAS2-42/37kDa and RAS2-30kDa showed that the C-terminal region (112 residues) influences neither the intrinsic GDP/GTP exchange nor its stimulation by CDC25-509. RAS2-42/37kDa was somewhat more effective in enhancing the adenylylcyclase activity of a yeast membrane reconstituted system. CDC25-509 displayed a higher specific activity than the catalytic domains of the two CDC25-like proteins: S. cerevisiae SDC25 and mouse CDC25Mm.

In vitro interaction between Saccharomyces cerevisiae CDC25 and RAS2 proteins.

In Saccharomyces cerevisiae the CDC25 protein is a positive regulator of RAS/cAMP pathway [1-4], enhancing the GDP-releasing rate of RAS2 protein [5]. In this work we have tried to detect a direct interaction between CDC25 and RAS2 gene products. The results indicate that both the whole RAS2 protein and a truncated version that lacks approximately 25 C-terminal residues interact specifically with the CDC25 protein. On the contrary, a derivative of RAS2 that lacks the 112 C-terminal residues as well as the p21TI-ras is not able to bind the CDC25 protein in our assay conditions. The 310 C-terminal aminoacids of CDC25 bind RAS2 while a C-terminus deletion within this aminoacid stretch abolishes the binding. The possible physiological significance of these findings is discussed.