1,720,963 research outputs found
Predicted 'wiring landscape' of Ras-effector interactions in 29 human tissues
No full textRas is a plasma membrane (PM)-associated signaling hub protein that interacts with its partners (effectors) in a mutually exclusive fashion. We have shown earlier that competition for binding and hence the occurrence of specific binding events at a hub protein can modulate the activation of downstream pathways. Here, using a mechanistic modeling approach that incorporates high-quality proteomic data of Ras and 56 effectors in 29 (healthy) human tissues, we quantified the amount of individual Ras-effector complexes, and characterized the (stationary) Ras "wiring landscape" specific to each tissue. We identified nine effectors that are in significant amount in complex with Ras in at least one of the 29 tissues. We simulated both mutant- and stimulus-induced network re-configurations, and assessed their divergence from the reference scenario, specifically discussing a case study for two stimuli in three epithelial tissues. These analyses pointed to 32 effectors that are in significant amount in complex with Ras only if they are additionally recruited to the PM, e.g. via membrane-binding domains or domains binding to activated receptors at the PM. Altogether, our data emphasize the importance of tissue context for binding events at the Ras signaling hub
Reconstruction and analysis of a large-scale binary Ras-effector signaling network
No full textBackground: Ras is a key cellular signaling hub that controls numerous cell fates via multiple downstream effector pathways. While pathways downstream of effectors such as Raf, PI3K and RalGDS are extensively described in the literature, how other effectors signal downstream of Ras is often still enigmatic. Methods: A comprehensive and unbiased Ras-effector network was reconstructed downstream of 43 effector proteins (converging onto 12 effector classes) using public pathway and protein-protein interaction (PPI) databases. The output is an oriented graph of pairwise interactions defining a 3-layer signaling network downstream of Ras. The 2290 proteins comprising the network were studied for their implication in signaling crosstalk and feedbacks, their subcellular localizations, and their cellular functions. Results: The final Ras-effector network consists of 2290 proteins that are connected via 19,080 binary PPIs, increasingly distributed across the downstream layers, with 441 PPIs in layer 1, 1660 in layer 2, and 16,979 in layer 3. We identified a high level of crosstalk among proteins of the 12 effector classes. A class-specific Ras sub-network was generated in CellDesigner (.xml file) and a functional enrichment analysis thereof shows that 58% of the processes have previously been associated to a respective effector pathway, with the remaining providing insights into novel and unexplored functions of specific effector pathways. Conclusions: Our large-scale and cell general Ras-effector network is a crucial steppingstone towards defining the network boundaries. It constitutes a 'reference interactome' and can be contextualized for specific conditions, e.g. different cell types or biopsy material obtained from cancer patients. Further, it can serve as a basis for elucidating systems properties, such as input-output relationships, crosstalk, and pathway redundancy. Video Abstract
Analysis of Ras-effector interaction competition in large intestine and colorectal cancer context
Get PDFCancer is the second leading cause of death globally, and colorectal cancer (CRC) is among the five most common cancers. The small GTPase KRAS is an oncogene that is mutated in ~30% of all CRCs. Pharmacological treatments of CRC are currently unsatisfactory, but much hope rests on network-centric approaches to drug development and cancer treatment. These approaches, however, require a better understanding of how networks downstream of Ras oncoproteins are connected in a particular tissue context - here colon and CRC. Previously we have shown that competition for binding to a 'hub' protein, such as Ras, can induce a rewiring of signal transduction networks. In this study, we analysed 56 established and predicted effectors that contain a structural domain with the potential ability to bind to Ras oncoproteins and their link to pathways coordinating intestinal homoeostasis and barrier function. Using protein concentrations in colon tissue and Ras-effector binding affinities, a computational network model was generated that predicted how effectors differentially and competitively bind to Ras in colon context. The model also predicted both qualitative and quantitative changes in Ras-effector complex formations with increased levels of active Ras - to simulate its upregulation in cancer - simply as an emergent property of competition for the same binding interface on the surface of Ras. We also considered how the number of Ras-effector complexes at the membrane can be increased by additional domains present in some effectors that are recruited to the membrane in response to specific conditions (inputs/stimuli/growth factors) in colon context and CRC
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Retroactivity in signal transduction : a comparative study of forward and backward responses in signaling cascades
No full textLes cellules communiquent avec leur environnement par l’intermédiaire d’un réseau de transduction du signal, leur permettant d’interpréter des signaux physico-chimiques et de produire des réponses appropriées. Ce mécanisme est orchestré par des cascades de signalisation, qui jouent le rôle d’émetteurs intracellulaires en transférant des stimuli biochimiques entre la membrane et le noyau. Il a été montré qu’une perturbation peut se propager en amont (et pas seulement en aval) d’une cascade par un phénomène appelé rétroactivité. Notre étude vise à comparer les conditions biochimiques qui favorisent un et/ou l’autre sens de signalisation dans des cascades linéaires. Au moyen d’approches analytiques et numériques, nous avons caractérisé les différents régimes de signalisation résultants, que nous avons résumés avec une représentation graphique compacte. Nous avons également développé le concept de profil d’activation d’une voie de signalisation qui est, pour un stimulus donné, la séquence des protéines activées à chaque niveau de la cascade à l’état stationnaire. Ces séquences correspondent à des morceaux d’orbites d’un système dynamique discret bidimensionnel. A partir de l’étude des portraits de phase, en fonction des paramètres biochimiques, nous avons étudié les propriétés de contraction/expansion autour des points fixes et de leurs bifurcations. Nous avons classifié les niveaux de cascade en trois types et examiné leur impact biologique au sein d’un réseau de signalisation. Cette méthode a également fourni une vision globale de l’interaction entre la signalisation en avant et rétroactive, et de l’amplification du signal le long du profil d’activation de la cascadeLiving cells communicate with their external environment, by means of a signal transduction network, which allows them to interpret physico-chemical signals and produce appropriate responses. This complex machinery is orchestrated by signaling cascades, which play the role of intracellular transmitters, by transferring biochemical stimuli between cellular membrane and nucleus. It has been shown that a perturbation can propagate upstream (and not only downstream) a cascade, through a phenomenon called retroactivity. Our investigation aims to compare the biochemical conditions promoting one and/or the other direction of signaling in linear cascades. By means of analytical and numerical approaches, we have answered to this question, by characterizing the arising different signaling regimes, and we have designed a compact graphical representation to relay the gist of such conditions. We have also developed the concept of pathway activation profile which is, for a given stimulus, the sequence of activated proteins at each tier of the cascade, at steady state. Such sequences correspond to pieces of orbits of a two-dimensional discrete dynamical system. From the study of the possible phase portraits, as a function of the biochemical parameters, we focused on the contraction/expansion properties around the fixed points of this discrete map, and their bifurcations. We have deduced a classification of the cascade tiers into three main types, whose biological impact within a signaling network has been examined. This method also provided global insights about the interplay between forward and retroactive signaling, and how signal is amplified along the cascade activation profil
Rétroactivité dans la transduction du signal : étude comparative des réponses en aval et en amont dans les cascades de signalisation
No full textLiving cells communicate with their external environment, by means of a signal transduction network, which allows them to interpret physico-chemical signals and produce appropriate responses. This complex machinery is orchestrated by signaling cascades, which play the role of intracellular transmitters, by transferring biochemical stimuli between cellular membrane and nucleus. It has been shown that a perturbation can propagate upstream (and not only downstream) a cascade, through a phenomenon called retroactivity. Our investigation aims to compare the biochemical conditions promoting one and/or the other direction of signaling in linear cascades. By means of analytical and numerical approaches, we have answered to this question, by characterizing the arising different signaling regimes, and we have designed a compact graphical representation to relay the gist of such conditions. We have also developed the concept of pathway activation profile which is, for a given stimulus, the sequence of activated proteins at each tier of the cascade, at steady state. Such sequences correspond to pieces of orbits of a two-dimensional discrete dynamical system. From the study of the possible phase portraits, as a function of the biochemical parameters, we focused on the contraction/expansion properties around the fixed points of this discrete map, and their bifurcations. We have deduced a classification of the cascade tiers into three main types, whose biological impact within a signaling network has been examined. This method also provided global insights about the interplay between forward and retroactive signaling, and how signal is amplified along the cascade activation profileLes cellules communiquent avec leur environnement par l’intermédiaire d’un réseau de transduction du signal, leur permettant d’interpréter des signaux physico-chimiques et de produire des réponses appropriées. Ce mécanisme est orchestré par des cascades de signalisation, qui jouent le rôle d’émetteurs intracellulaires en transférant des stimuli biochimiques entre la membrane et le noyau. Il a été montré qu’une perturbation peut se propager en amont (et pas seulement en aval) d’une cascade par un phénomène appelé rétroactivité. Notre étude vise à comparer les conditions biochimiques qui favorisent un et/ou l’autre sens de signalisation dans des cascades linéaires. Au moyen d’approches analytiques et numériques, nous avons caractérisé les différents régimes de signalisation résultants, que nous avons résumés avec une représentation graphique compacte. Nous avons également développé le concept de profil d’activation d’une voie de signalisation qui est, pour un stimulus donné, la séquence des protéines activées à chaque niveau de la cascade à l’état stationnaire. Ces séquences correspondent à des morceaux d’orbites d’un système dynamique discret bidimensionnel. A partir de l’étude des portraits de phase, en fonction des paramètres biochimiques, nous avons étudié les propriétés de contraction/expansion autour des points fixes et de leurs bifurcations. Nous avons classifié les niveaux de cascade en trois types et examiné leur impact biologique au sein d’un réseau de signalisation. Cette méthode a également fourni une vision globale de l’interaction entre la signalisation en avant et rétroactive, et de l’amplification du signal le long du profil d’activation de la cascad
Analysis of context-specific KRAS-effector (sub)complexes in Caco-2 cells
No full textRas is a key switch controlling cell behavior. In the GTP-bound form, Ras interacts with numerous effectors in a mutually ex-clusive manner, where individual Ras-effectors are likely part of larger cellular (sub)complexes. The molecular details of these (sub)complexes and their alteration in specific contexts are not understood. Focusing on KRAS, we performed affinity puri-fication (AP)-mass spectrometry (MS) experiments of exoge-nously expressed FLAG-KRAS WT and three oncogenic mutants ("genetic contexts") in the human Caco-2 cell line, each exposed to 11 different culture media ("culture contexts") that mimic conditions relevant in the colon and colorectal cancer. We identified four effectors present in complex with KRAS in all genetic and growth contexts ("context-general effectors"). Seven effectors are found in KRAS complexes in only some contexts ("context-specific effectors"). Analyzing all interactors in complex with KRAS per condition, we find that the culture contexts had a larger impact on interaction rewiring than genetic contexts. We investigated how changes in the interactome impact functional outcomes and created a Shiny app for interactive visualization. We validated some of the functional differences in metabolism and proliferation. Finally, we used networks to evaluate how KRAS-effectors are involved in the modulation of functions by random walk analyses of effector-mediated (sub)complexes. Altogether, our work shows the impact of environmental contexts on network rewiring, which provides insights into tissue-specific signaling mechanisms. This may also explain why KRAS oncogenic mutants may be causing cancer only in specific tissues despite KRAS being expressed in most cells and tissues
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