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Common and distinct elements in cellular signaling via EGF and FGF receptors.

Signaling pathways that are activated by epidermal growth factor (EGF) or fibroblast growth factor (FGF) receptors have been identified and compared (detailed Connections Maps are available at Science's Signal Transduction Knowledge Environment). Both receptors stimulate a similar complement of intracellular signaling pathways. However, whereas activated EGF receptors (EGFRs) function as the main platform for recruitment of signaling proteins, signaling through the FGF receptors (FGFRs) is mediated primarily by assembly of a multidocking protein complex. Moreover, FGFR signaling is subject to additional intracellular and extracellular control mechanisms that do not affect EGFR signaling. The differential circuitry of the intracellular networks that are activated by EGFR and FGFR may affect signal specificity and physiological responses.

Adaptor Proteins, Signal Transducing↗

Connected to death: the (unexpurgated) mitochondrial pathway of apoptosis.

The mitochondrial pathway of apoptosis in vertebrates is dependent on the process of mitochondrial outer membrane permeabilization (MOMP), which leads to the release of proteins from the mitochondrial intermembrane space into the cytosol. "Upstairs" of this event are the Bcl-2 family proteins that regulate and mediate MOMP; "downstairs" is the activation of caspases that orchestrate the dismantling of the cell. In the Connections Map database at Science's Signal Transduction Knowledge Environment (STKE), the pathways that define the mitochondrial pathway of apotosis are illustrated, with the bulk of control occurring "upstairs" of MOMP.

Animals↗

G proteins Go green: a plant G protein signaling FAQ sheet.

Plants, like animals, use signal transduction pathways based on heterotrimeric guanine nucleotide-binding proteins (G proteins) to regulate many aspects of development and cell signaling. Some components of G protein signaling are highly conserved between plants and animals and some are not. This Viewpoint compares key aspects of G protein signal transduction in plants and animals and describes the current knowledge of this system in plants, the questions that still await exploration, and the value of research on plant G proteins to scientists who do not study plants. Pathways in Science's Signal Transduction Knowledge Environment Connections Maps database provide details about the emerging roles of G proteins in several cellular processes of plants.

Animals↗

G protein signaling in yeast: new components, new connections, new compartments.

Signaling by cell surface receptors and heterotrimeric guanine nucleotide-binding proteins (G proteins) is one of the most exhaustively studied processes in the cell but remains a major focus of molecular pharmacology research. The pheromone-response system in yeast (see the Connections Map at Science's Signal Transduction Knowledge Environment) has provided numerous major advances in our understanding of G protein signaling and regulation. However, the basic features of this prototypical pathway have remained largely unchanged since the mid-1990s. New tools available in yeast are beginning to uncover new pathway components and interactions and have revealed signaling in unexpected locations within the cell.

Cell Membrane↗

The jasmonate biochemical pathway.

Plants possess an interrelated and interacting family of potent fatty acid-derived regulators--the jasmonates. These compounds, which play roles in both defense and development, are derived from tri-unsaturated fatty acids [alpha-linolenic acid (18:3) or 7Z,10Z,13Z-hexadecatrienoic acid (16:3)]. The lipoxygenase-catalyzed addition of molecular oxygen to alpha-linolenic acid initiates jasmonate synthesis by providing a 13-hydroperoxide substrate for the formation of an unstable allene oxide that is then subject to enzyme-guided cyclization to produce 12-oxo-phytodienoic acid (OPDA). OPDA, a key regulatory lipid in the plant immune system, has several fates, including esterification into plastid lipids or transformation into the 12-carbon co-regulator jasmonic acid (JA). JA, the best-characterized member of the family, regulates both male and female fertility (depending on the plant species), and is an important mediator of defense gene expresssion. JA is itself a substrate for further diverse modifications. Genetic dissection of the pathway is revealing how the different jasmonates modulate different physiological processes. Each new family member that is discovered provides another key to understanding the fine control of gene expression in immune responses, in the initiation and maintenance of long-distance signal transfer in response to wounding, and in the regulation of fertility, among other processes. The Jasmonate Biochemical Pathway provides an overview of the growing jasmonate family, and new members will be included in future versions of the Connections Map. Science Viewpoint R. Liechti, E. E. Farmer, The jasmonate pathway. Science 296, 1649-1650 (2002). [Abstract] [Full Text]

Acetates↗

Ethylene signaling pathway.

The structural simplicity of the plant hormone ethylene contrasts with its dramatic effects in various developmental processes, as well as in the cellular processes that ethylene initiates in response to a diversity of environmental signals. A single well-conserved signaling cascade mediates this broad spectrum of responses. Ethylene is perceived by a family of two-component histidine kinase receptors that become inactivated upon ethylene binding. In the absence of the hormone, the receptors activate CTR1, a negative regulator of ethylene responses. Sequence similarity between CTR1 and the Raf protein kinases implies involvement of a mitogen-activated protein kinase cascade in this signaling pathway. The protein EIN2 acts downstream of CTR1 and the possible kinase cascade. Although the biochemical function of EIN2 is not understood, its critical role is manifested by the complete ethylene insensitivity of EIN2 loss-of-function mutants. Downstream of EIN2, a family of plant-specific EIN3-like transcription factors mediate ethylene responses. The regulation of EIN3 stability by ethylene is accomplished by F-box-containing proteins that participate in the formation of a SKP1/cullin/F-box complex that targets proteins for degradation by the proteasome. A large number of ethylene-regulated genes have been identified, including the APETALA2 domain-containing transcription factor genes ERF1 and EDF1 to 4, which suggests the participation of a transcriptional cascade in the ethylene response. The differential regulation of some components of this complex nuclear cascade by other signaling pathways provides a possible mechanism for interaction and signal integration. As new points of intersection with other pathways and additional participants in the pathway are identified, the Connections Map will be updated to include this new information.

Arabidopsis↗

Arabidopsis ethylene signaling pathway.

In plants, ethylene gas functions as a potent endogenous growth regulator. In the model system Arabidopsis thaliana, the molecular mechanisms that underlie perception and transduction of the ethylene signal to the nucleus, where the transcription of hundreds of genes is altered, are being elucidated. In the current view, ethylene is sensed by a family of five receptors that show similarity to the bacterial two-component histidine kinases, and in plants function as negative regulators of the pathway. Binding of the ethylene gas turns off the receptors, resulting in the inactivation of another negative regulator of ethylene signaling, CTR1, a Raf-like protein kinase that directly interacts with the receptors. EIN2, a protein of unknown biochemical activity that functions as a positive regulator of the pathway, acts downstream of CTR. Derepression of EIN2 by ethylene upon disabling of the receptors and CTR1 leads to the activation of EIN3 and EIN3-like transcription factors. In the absence of ethylene, the levels of EIN3 protein are extremely low because of the function of two F-box-containing proteins, EBF1 and EBF2, that target EIN3 for proteosome-mediated degradation. In the presence of ethylene, the EIN3 protein accumulates in the nucleus and initiates a transcriptional cascade, resulting in the activation and repression of hundreds of genes. To date, the only empirically demonstrated direct target of EIN3 is the APETALA2 (AP2)-domain-containing transcription factor gene ERF1. The coregulation of ERF1 by another plant hormone, jasmonic acid, illustrates how a transcriptional cascade could be utilized in a combinatorial fashion to generate a large diversity of responses using a limited number of input signals. As new components and points of intersection with other pathways are identified, the Connections Map will be updated.

Arabidopsis↗

Natural killer cell receptor signaling pathway.

NK (natural killer) cells are lymphocytes of the innate immune system that are involved in early defense mechanisms against foreign cells as well as autologous cells that are undergoing various forms of stress, such as microbial infection (viral, bacterial, or parasitic), tumor transformation, or nonmalignant activation. NK cell activation is controlled by a dynamic balance between complementary and antagonist pathways that are initiated when they bind a cell targeted for destruction. The Natural Killer Cell Signaling Pathway illustrates the signals produced by the activating cell surface receptors that initiate PTK (protein tyrosine kinase)-dependent pathways through their noncovalent association with transmembrane signaling adaptors that harbor ITAMs (immunoreceptor tyrosine-based activation motifs). This Connections Map also describes the mechanism by which these positive pathways are antagonized by intracytoplasmic PTPs (protein tyrosine phosphatases) that are activated upon engagement of cell surface receptors with intracytoplasmic ITIMs (immunoreceptor tyrosine-based inhibition motifs). The tyrosine phosphorylation status of several signaling components that are substrates for both PTKs and PTPs is thus key to the propagation of the NK cell effector pathways. Additional cell surface receptors that are not directly coupled to ITAMs also participate in NK cell activation, such as NKG2D (which is noncovalently associated with the DAP10 transmembrane signaling adaptor), adhesion molecules, and cytokine receptors. Understanding the integration of these signals into the "canonical" PTK-PTP equilibrium represents the future challenge for the elucidation of NK cell effector signaling pathways.

Animals↗

Arabidopsis jasmonate signaling pathway.

Jasmonates control defense gene expression and male fertility in the model plant Arabidopsis thaliana. In both cases, the involvement of the jasmonate pathway is complex, involving large-scale transcriptional reprogramming. Additionally, jasmonate signaling is hard-wired into the auxin, ethylene, and salicylate signal networks, all of which are under intense investigation in Arabidopsis. In male fertility, jasmonic acid (JA) is the essential signal intervening both at the level of anther elongation and in pollen dehiscense. A number of genes potentially involved in jasmonate-dependent anther elongation have recently been discovered. In the case of defense, at least two jasmonates, JA and its precursor 12-oxo-phytodienoic acid (OPDA), are necessary for the fine-tuning of defense gene expression in response to various microbial pathogens and arthropod herbivores. However, only OPDA is required for full resistance to some insects and fungi. Other jasmonates probably affect yet more physiological responses. A series of breakthroughs have identified the SKP/CULLIN/F-BOX (SCF), CORONATINE INSENSITIVE (COI1) complex, acting together with the CONSTITUTIVE PHOTOMORPHOGENIC 9 (COP9) signalosome, as central regulatory components of jasmonate signaling in Arabidopsis. The studies, mostly involving mutational approaches, have paved the way for suppressor screens that are expected to further extend our knowledge of jasmonate signaling. When these and other new mutants affecting jasmonate signaling are characterized, new nodes will be added to the Arabidopsis Jasmonate Signaling Pathway Connections Map, and the lists of target genes regulated by jasmonates in Arabidopsis will be expanded.

Arabidopsis↗

Jasmonate signaling pathway.

Jasmonates in plants are cyclic fatty acid-derived regulators structurally similar to prostaglandins in metazoans. These chemicals mediate many of plants' transcriptional responses to wounding and pathogenesis by acting as potent regulators for the expression of numerous frontline immune response genes, including those for defensins and antifungal proteins. Additionally, the pathway is critical for fertility. Ongoing genetic screens and protein-protein interaction assays are identifying components of the canonical jasmonate signaling pathway. A massive molecular machine, based on two multiprotein complexes, SCF(COI1) and the COP9 signalosome (CNS), plays a central role in jasmonate signaling. This machine functions in vivo as a ubiquitin ligase complex, probably targeting regulatory proteins, some of which are expected to be transcriptional repressors. Some defense-related mediators, notably salicylic acid, antagonize jasmonates in controlling the expression of many genes. In Arabidopsis, NONEXPRESSOR OF PR GENES (NPR1) mediates part of this interaction, with another layer of control provided further downstream by the mitogen-activated protein kinase (MAPK) homolog MPK4. Numerous other interpathway connections influence the jasmonate pathway. Insights from Arabidopsis have shown that an allele of the auxin signaling gene AXR1, for example, reduces the sensitivity of plants to jasmonate. APETALA2 (AP2)-domain transcription factors, such as ETHYLENE RESPONSE FACTOR 1 (ERF1), link the jasmonate pathway to the ethylene signaling pathway. As progress in characterizing several new mutants (some of which are hypersensitive to jasmonic acid) augments our understanding of jasmonate signaling, the Connections Map will be updated to include this new information.

Arabidopsis↗

Jasmonate biochemical pathway.

Plants possess an interrelated family of potent fatty acid-derived regulators-the jasmonates. These compounds, which play roles in both defense and development, are derived from tri-unsaturated fatty acids [alpha-linolenic acid (18:3) or 7Z,10Z,13Z-hexadecatrienoic acid (16:3)]. The lipoxygenase-catalyzed addition of molecular oxygen to alpha-linolenic acid initiates jasmonate synthesis by providing a 13-hydroperoxide substrate for the formation of an unstable allene oxide that is then subject to enzyme-guided cyclization to produce 12-oxo-phytodienoic acid (OPDA). OPDA has several fates, including esterification into plastid lipids or transformation into the 12-carbon co-regulator jasmonic acid (JA). JA, the best-characterized member of the family, regulates both male and female fertility (depending on the plant species) and is an important mediator of defense gene expression. JA is itself a substrate for further diverse modifications. Genetic dissection of the pathway is revealing how the different jasmonates modulate different physiological processes. Each new family member that is discovered provides another key to understanding the fine control of gene expression in immune responses, in the initiation and maintenance of long-distance signal transfer in response to wounding, in the regulation of fertility, and in the turnover, inactivation, and sequestration of jasmonates, among other processes. The Jasmonate Biochemical Pathway provides an overview of the growing jasmonate family, and new members will be included in future versions of the Connections Map.

Cyclopentanes↗

Pheromone signaling pathways in yeast.

The actions of many extracellular stimuli are elicited by complexes of cell surface receptors, heterotrimeric guanine nucleotide-binding proteins (G proteins), and mitogen-activated protein kinase (MAPK) complexes. Analysis of haploid yeast cells and their response to peptide mating pheromones has produced important advances in the understanding of G protein and MAPK signaling mechanisms. Many of the components, their interrelationships, and their regulators were first identified in yeast. Examples include definitive demonstration of a positive signaling role for G protein betagamma subunits, the discovery of a three-tiered structure of the MAPK module, development of the concept of a kinase-scaffold protein, and the discovery of the first regulator of G protein signaling protein. New and powerful genomic, proteomic, and computational approaches available in yeast are beginning to uncover new pathway components and interactions and have revealed their presence in unexpected locations within the cell. This updated Connections Map in the Database of Cell Signaling includes several major revisions to this prototypical signal response pathway.

GTP-Binding Proteins↗

Stochastic epigenetic mutation profiles as biomarkers of clinical activity in juvenile idiopathic arthritis: a multi-omic machine learning approach for gene prioritization.

BACKGROUND: Juvenile idiopathic arthritis (JIA) is a rare autoimmune disease arising from a complex interplay between genetic and environmental factors. Epigenetic modifications such as DNA methylation (DNAm) have been described as potential mediators in gene-environment interactions, contributing to immune system dysregulation. Emerging evidence suggests that DNAm profiles also predict therapeutic responses in autoimmune diseases. This study aims to identify epigenetic biomarkers and epigenetic-driven gene expression changes associated with JIA clinical activity. METHODS: We reanalyzed a publicly available dataset of 44 JIA patients, with whole-genome DNAm and gene expression from CD4 + T cells measured at two points: at anti-TNF therapy withdrawal (T0) and eight months later (Tend). At Tend, 30 patients maintained inactive disease (ID) while 14 did not (NO ID). We investigated differences between ID and NO ID patients in the epigenetic mutation load and various epigenetic clocks through linear regression models, and prioritized genomic regions with significantly higher number of epimutations in NO ID patients through machine learning. RESULTS: We found a higher mutation load in NO ID than ID patients, both at T0 and at Tend, with the differences at Tend reaching statistical significance (p = 0.02). In contrast, we found no evidence of association between epigenetic clocks and JIA clinical activity. Using a multi-omic approach, we identified a List of candidate epigenetically-driven differentially expressed genes, 80 up-regulated and 77 down-regulated, in NO ID patients. Finally, comparing our candidate gene list with the Connectivity Map database, we identified new candidate potential therapeutic targets. Key findings were validated in independent datasets: DNAm profiles from CD4 + T cells (56 JIA patients, 57 controls) and transcriptomic data from PBMCs of JIA patients with active or inactive disease, confirming dysregulation of pathways such as TNF-α signaling via NF-kB and TGF-β signaling among others. CONCLUSIONS: We described a significant association of epigenetic mutations with JIA clinical activity, indicating that epigenetic changes might precede clinical symptoms and may serve as biomarkers for early disease monitoring. Further, our results shed light on biomolecular mechanisms of JIA, supporting the development of more effective treatments.

Humans↗

Construction of a molecular diagnostic system for neurogenic rosacea by combining transcriptome sequencing and machine learning.

Patients with neurogenic rosacea (NR) frequently demonstrate pronounced neurological manifestations, often unresponsive to conventional therapeutic approaches. A molecular-level understanding and diagnosis of this patient cohort could significantly guide clinical interventions. In this study, we amalgamated our sequencing data (n = 46) with a publicly accessible database (n = 38) to perform an unsupervised cluster analysis of the integrated dataset. The eighty-four rosacea patients were partitioned into two distinct clusters. Neurovascular biomarkers were found to be elevated in cluster 1 compared to cluster 2. Pathways in cluster 1 were predominantly involved in neurotransmitter synthesis, transmission, and functionality, whereas cluster 2 pathways were centered on inflammation-related processes. Differential gene expression analysis and WGCNA were employed to delineate the characteristic gene sets of the two clusters. Subsequently, a diagnostic model was constructed from the identified gene sets using linear regression methodologies. The model's C index, comprising genes PNPLA3, CUX2, PLIN2, and HMGCR, achieved a remarkable value of 0.9683, with an area under the curve (AUC) for the training cohort's nomogram of 0.9376. Clinical characteristics from our dataset (n = 46) were assessed by three seasoned dermatologists, forming the NR validation cohort (NR, n = 18; non-neurogenic rosacea, n = 28). Upon application of our model to NR diagnosis, the model's AUC value reached 0.9023. Finally, potential therapeutic candidates for both patient groups were predicted via the Connectivity Map. In summation, this study unveiled two clusters with unique molecular phenotypes within rosacea, leading to the development of a precise diagnostic model instrumental in NR diagnosis.

Humans↗

FOSB is a key factor in the genetic link between inflammatory bowel disease and acute myocardial infarction: multiple bioinformatics analyses and validation.

BACKGROUND: Inflammatory Bowel Disease (IBD), which includes Crohn's disease and ulcerative colitis, is associated with an increased risk of Acute Myocardial Infarction (AMI). The genetic mechanisms underlying this link are not well understood. METHODS: We downloaded IBD and AMI-related microarray datasets from the NCBI Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified and analyzed using enrichment analysis and Weighted Gene Co-expression Network Analysis (WGCNA). Machine learning techniques, including LASSO, random forest, and Boruta, were employed to screen for hub genes. These genes were validated through qRT-PCR and Western blotting. Single-cell sequencing was used to confirm findings. Additionally, potential therapeutic targets were identified using the Connectivity Map (CMap) database. RESULTS: Five key hub genes-THBD, FOSB, ADGPR3, IL1R2, and PLAUR-were identified as significantly involved in both IBD and AMI pathogenesis. A diagnostic model for AMI constructed using these hub genes demonstrated high predictive accuracy. Single-cell sequencing analysis and several potential drugs targeting these hub genes were identified, offering new therapeutic avenues. CONCLUSION: This study highlights the crucial role of FOSB and other hub genes in the comorbidity of IBD and AMI. The findings provide novel insights for early diagnosis and potential therapeutic strategies, emphasizing the importance of further investigation into these genetic links.

Humans↗

Identification of Drug-resistant Cell Subpopulations in Colorectal Cancer Through Single-cell Analysis and Exploration of Potential Therapeutic Strategies.

INTRODUCTION: The therapeutic efficacy of Colorectal Cancer (CRC) is often compromised by resistance to the standard chemotherapy agent oxaliplatin. METHODS: This study obtained single-cell RNA sequencing (scRNA-seq) data from the Gene Expression Omnibus (GEO) database. Differentially Expressed Genes (DEGs) between resistant and sensitive epithelial subpopulations were identified, followed by enrichment analysis. Pseudotemporal trajectory and cell-cell communication were analyzed using Monocle2 and CellChat, respectively. The candidate drug was predicted by Connectivity Map (cMAP) analysis. External validation included assessment of the EpC2 signature in an oxaliplatin-resistant cell line dataset (GSE76092), survival analysis using The Cancer Genome Atlas (TCGA) cohorts, and re-analysis of the GSE179784 dataset to assess the reproducibility of EpC2-like subpopulations and their DNA Damage Repair (DDR) scores. RESULTS: Cell subpopulations were divided into 10 clusters. Among them, epithelial cells comprised 5 subpopulations, with EPC2 identified as a potential oxaliplatin-resistant subset. DEGs were enriched in the TNF and IL-17 pathways. External validation confirmed the enrichment of EpC2 in resistant cell lines and its association with poor survival. Pseudotemporal trajectory revealed that epithelial cells underwent state transitions, forming two distinct branches. The resistant group exhibited enrichment in RNA splicing and NF-κB pathways. Cell-cell communication analysis revealed interactions involving MDK- NCL and PPIA-BSG. Dasatinib was predicted as a candidate drug. DISCUSSION: We identified an oxaliplatin-resistant subpopulation of Epithelial Cells (EpC2) in CRC, elucidated its multi-layered resistance mechanisms, and integrated multi- omics and cMAP database analyses to predict a potential intervention drug. CONCLUSION: This study provided potential therapeutic possibilities for oxaliplatin resistance, contributing to CRC treatment.

Humans↗

[What to expect from MRi in the investigation of the central nervous system?].

Functional Magnetic Resonance Imaging (fMRI) has appeared as a new tool which is very powerful for cognitive neuroscience, offering the potential to look at the dynamics of cerebral processes underlying cognition, noninvasively and on an individual basis. Work remains to be done to optimize the technique and to better understand its basic mechanisms, but one may expect to build in a few years a functional list of the brain cortical networks of regions implicated in sensory-motor or cognitive processes. Still, the real understanding of brain function requires direct access to the functional unit made of the neuron, so that one may look at the transient temporal relationships that exist between largely distributed groups of hundreds or thousands of neurons. Furthermore, communication pathways between networks must be identified to establish connectivity maps at the individual scale, taking into account individual variability resulting from genetic factors and cerebral plasticity. In this respect, MRI of molecular diffusion is very sensitive to water molecular motion and, thus, to tissue dynamic microstructure, such as cell geometry. Preliminary data suggest that diffusion MRI visualizes dynamic tissue changes associated with large neuronal activation and space orientation of large bundles of myelinated axons in the white matter.

Brain Ischemia↗

What to expect from MRI in the investigation of the central nervous system?

Functional magnetic resonance imaging (fMRI) has appeared as a new tool that is very powerful for cognitive neuroscience, offering the potential to look at the dynamics of cerebral processes underlying cognition, non-invasively and on an individual basis. Work remains to be done to optimize the technique and to better understand its basic mechanisms, but one may expect to build in a foreseeable future a functional list of the main brain cortical networks implicated in sensory-motor or cognitive processes. Still, the real understanding of brain function requires direct access to the functional unit consisting of the neuron, so that one may look at the transient temporal relationships that exist between largely distributed groups of hundreds or thousands of neurons. Furthermore, communication pathways between networks, which are carried by brain white matter, must be identified to establish connectivity maps at the individual scale, taking into account individual variability resulting from genetic factors and cerebral plasticity. In this respect, MRI of molecular diffusion is very sensitive to water molecular motion and, thus, to tissue dynamic microstructure, such as cell size and geometry. Preliminary data suggest that diffusion MRI visualizes dynamic tissue changes associated with large neuronal activation and space orientation of large bundles of myelinated axons in the white matter.

Animals↗