Rapid pathogen sensing remains a pressing issue today since conventional identification methodsare tedious, cost intensive and time consuming, typically requiring from 48 to 72 h. In turn, chip based technologies, such as microarrays and microfluidic biochips, offer real alternatives capable of filling this technological gap. In particular microfluidic biochips make the development of fast, sensitive and portable diagnostic tools possible, thus promising rapid and accurate detection of a variety of pathogens. This paper will provide a broad overview of the novel achievements in the field of pathogen sensing by focusing on methods and devices that compliment microfluidics.

The primary aim of genetic association and linkage studies is to identify genetic variants that contribute to phenotypic variation within human populations. Since the overwhelming majority of human genetic variation is found within populations, these methods are expected to be effective and can likely be extrapolated from one human population to another. However, they may lack power in detecting the genetic variants that contribute to phenotypes that differ greatly between human populations. Phenotypes that show large differences between populations are expected to be associated with genomic regions exhibiting large allele frequency differences between populations. Thus, from genome-wide polymorphism data genomic regions with large allele frequency differences between populations can be identified, and evaluated as candidates for large between-population phenotypic differences. Here we use allele frequency data from approximately 1.5 million SNPs from three human populations, and present an algorithm that identifies genomic regions containing SNPs with extreme Fst. We demonstrate that our candidate regions have reduced heterozygosity in Europeans and Chinese relative to African-Americans, and are likely enriched with genes that have experienced positive natural selection. We identify genes that are likely responsible for phenotypes known to differ dramatically between human populations and present several candidates worthy of future investigation. Our list of high Fst genomic regions is a first step in identifying the genetic variants that contribute to large phenotypic differences between populations, many of which have likely experienced positive natural selection. Our approach based on between population differences can compliment traditional within population linkage and association studies to uncover novel genotype-phenotype relationships.

The last two decades have seen an explosive increase in the number of people with diabetes globally. There is now an urgent need for strategies to prevent the emerging global epidemic. Several recent successful intervention studies, both lifestyle and pharmacological, targeting subjects with impaired glucose tolerance (IGT) have stimulated enthusiasm for prevention of Type 2 diabetes. Lifestyle interventions reduced the incidence of diabetes by over 50% in the Finnish Diabetes Prevention Study and the Diabetes Prevention Program. Can the findings of these two studies be applied globally? Underpinning the enthusiasm, there needs to be a realistic approach to interventions in both developed and developing nations, and in ethnic groups where a better understanding of the socio-economic, cultural and demographic issues and perceptions surrounding chronic diseases such as diabetes is required. Whether the strategies used in these two studies can be translated into a 'real world' scenario is doubtful. In practice, it is more than likely that a number of strategies will be needed to compliment the lifestyle approach. These will include pharmacological approaches with metformin, acarbose and other agents used to treat diabetes and its complications, currently under investigation. Longer-term follow-up studies will also clarify whether both lifestyle and pharmacological interventions actually prevent Type 2 diabetes, or merely delay its onset.

We investigated the use of social skills groups to facilitate increased social interactions for students with autism and their nonhandicapped peers in an integrated first-grade classroom. Social skills groups consisted of training students and peers in initiating, responding, and keeping interactions going; greeting others and conversing on a variety of topics; giving and accepting compliments; taking turns and sharing; asking for help and helping others; and including others in activities. Training occurred during the first 10 min of 20-min play groups, four times per week. Using a multiple baseline across subjects design, results demonstrated increases in the frequency of, time engaged in, and duration of social interactions, as well as the responsivity of students and peers to each other. Results were maintained when students were monitored and given feedback on social performance in play groups and during follow-up.

A growing body of evidence indicates that some proteins known for their immune functions also have distinct nonimmune functions in the normal uninjured central nervous system. In this issue, Stevens et al. (2007) demonstrate an unexpected requirement for molecules of the complement cascade in the remodeling of synaptic connections in the developing visual system.

With the rapid advance of MS-based proteomics one might think that 2D gel-based proteomics is dead. This is far from the truth. Current research has shown that there are still a number of places in the field of protein and molecular biology where 2D gels still play a leading role. The aim of this review is to highlight some of these applications. Examples from our own research as well as from other published works are used to illustrate the 2D gel driven research in the areas of: 1) de novo sequencing and protein identification from organisms with no or incomplete genome sequences available; 2) alternative detection methods for modification specific proteomics; 3) identification of protein isoforms and modified proteins. With an example of the glycoprotein TIMP-1 protein we illustrate the unique properties of 2D gels for the separation and characterisation of multiply modified proteins. We also show that careful analysis of experimental and theoretical protein mass and pI can lead to the identification of unanticipated protein variants modified by for example proteolytic cleavage. Together this shows that there is an important niche for 2D gel-based proteomics, which compliments traditional LC-MS techniques for specific protein research purposes.

Proteomics is the study of proteins and their interactions in a cell. With the completion of the Human Genome Project, the emphasis is shifting to the protein compliment of the human organism. Because proteome reflects more accurately on the dynamic state of a cell, tissue, or organism, much is expected from proteomics to yield better disease markers for diagnosis and therapy monitoring. The advent of proteomics technologies for global detection and quantitation of proteins creates new opportunities and challenges for those seeking to gain greater understanding of diseases. High-throughput proteomics technologies combining with advanced bioinformatics are extensively used to identify molecular signatures of diseases based on protein pathways and signaling cascades. Mass spectrometry plays a vital role in proteomics and has become an indispensable tool for molecular and cellular biology. While the potential is great, many challenges and issues remain to be solved, such as mining low abundant proteins and integration of proteomics with genomics and metabolomics data. Nevertheless, proteomics is the foundation for constructing and extracting useful knowledge to biomedical research. In this review, a snapshot of contemporary issues in proteomics technologies is discussed.

Proteomics is increasingly employed in both neurological and oncological research to provide insight into the molecular basis of disease but rarely has a coherent, novel pathophysiological insight emerged. Gliomas account for >50% of adult primary intracranial tumors, with malignant gliomas (anaplastic astrocytomas and glioblastoma multiforme) being the most common. In glioma, the application of proteomic technology has identified altered protein expression but without consistency of these alterations or their biological significance being established. A systematic review of multiple independent proteomic analyses of glioma has demonstrated alterations of 99 different proteins. Importantly 10 of the 99 proteins found differentially expressed in glioma [PHB, Hsp20, serum albumin, epidermal growth factor receptor (EGFR), EA-15, RhoGDI, APOA1, GFAP, HSP70, PDIA3] were identified in multiple publications. An assessment of protein-protein interactions between these proteins compiled using novel web-based technology, revealed a robust and cohesive network for glioblastoma. The protein network discovered (containing TP53 and RB1 at its core) compliments recent findings in genomic studies of malignant glioma. The novel perspective provided by network analysis indicates that the potential of this technology to explore crucial aspects of glioma pathophysiology can now be realized but only if the conceptual and technical limitations highlighted in this review are addressed.

Biological molecules and intracellular structures operate at the nanoscale; therefore, development of nanomedicines shows great promise for the treatment of disease by using targeted drug delivery and gene therapies. PAMAM dendrimers, which are highly branched polymers with low polydispersity and high functionality, provide an ideal architecture for construction of effective drug carriers, gene transfer devices and imaging of biological systems. For example, dendrimers bioconjugated with selective ligands such as Arg-Gly-Asp (RGD) would theoretically target cells that contain integrin receptors and show potential for use as drug delivery devices. While RGD-conjugated dendrimers are generally considered not to be cytotoxic, there currently exists little information on the risks that such materials pose to human health. In an effort to compliment and extend the knowledge gleaned from cell culture assays, we have used the zebrafish embryo as a rapid, medium throughput, cost-effective whole-animal model to provide a more comprehensive and predictive developmental toxicity screen for nanomaterials such as PAMAM dendrimers. Using the zebrafish embryo, we have assessed the developmental toxicity of low generation (G3.5 and G4) PAMAM dendrimers, as well as RGD-conjugated forms for comparison. Our results demonstrate that G4 dendrimers, which have amino functional groups, are toxic and attenuate growth and development of zebrafish embryos at sublethal concentrations; however, G3.5 dendrimers, with carboxylic acid terminal functional groups, are not toxic to zebrafish embryos. Furthermore, RGD-conjugated G4 dendrimers are less potent in causing embryo toxicity than G4 dendrimers. RGD-conjugated G3.5 dendrimers do not elicit toxicity at the highest concentrations tested and warrant further study for use as a drug delivery device.

Decades of research have revealed numerous differences in brain structure size, connectivity and metabolism between males and females. Sex differences in neurobehavioral and cognitive function after various forms of central nervous system (CNS) injury are observed in clinical practice and animal research studies. Sources of sex differences include early life exposure to gonadal hormones, chromosome compliment and adult hormonal modulation. It is becoming increasingly apparent that mitochondrial metabolism and cell death signaling are also sexually dimorphic. Mitochondrial metabolic dysfunction is a common feature of CNS injury. Evidence suggests males predominantly utilize proteins while females predominantly use lipids as a fuel source within mitochondria and that these differences may significantly affect cellular survival following injury. These fundamental biochemical differences have a profound impact on energy production and many cellular processes in health and disease. This review will focus on the accumulated evidence revealing sex differences in mitochondrial function and cellular signaling pathways in the context of CNS injury mechanisms and the potential implications for neuroprotective therapy development.

Anatomical variation of the thoracic splanchnic nerves is as diverse as any structure in the body. Thoracic splanchnic nerves are derived from medial branches of the lower seven thoracic sympathetic ganglia, with the greater splanchnic nerve comprising the more cranial contributions, the lesser the middle branches, and the least splanchnic nerve usually T11 and/or T12. Much of the early anatomical research of the thoracic splanchnic nerves revolved around elucidating the nerve root level contributing to each of these nerves. The celiac plexus is a major interchange for autonomic fibers, receiving many of the thoracic splanchnic nerve fibers as they course toward the organs of the abdomen. The location of the celiac ganglia are usually described in relation to surrounding structures, and also show variation in size and general morphology. Clinically, the thoracic splanchnic nerves and celiac ganglia play a major role in pain management for upper abdominal disorders, particularly chronic pancreatitis and pancreatic cancer. Splanchnicectomy has been a treatment option since Mallet-Guy became a major proponent of the procedure in the 1940s. Splanchnic nerve dissection and thermocoagulation are two common derivatives of splanchnicectomy that are commonly used today. Celiac plexus block is also a treatment option to compliment splanchnicectomy in pain management. Endoscopic ultrasonography (EUS)-guided celiac injection and percutaneous methods of celiac plexus block have been heavily studied and are two important methods used today. For both splanchnicectomies and celiac plexus block, the innovation of ultrasonographic imaging technology has improved efficacy and accuracy of these procedures and continues to make pain management for these diseases more successful.

The neurotransmitter glutamate is the mediator of excitatory neurotransmission in the brain. Release of this signaling molecule is carefully controlled by multiple mechanisms, yet the methods available to measure released glutamate have been limited in spatial and/or temporal domains. We have developed a novel technique to visualize glutamate release in brain slices using three purified fluorescence (Forster) energy resonance transfer (FRET)-based glutamate sensor proteins. Using a simple loading protocol, the FRET sensor proteins diffuse deeply into the extracellular space and remain functional for many tens of minutes. This allows imaging of glutamate release in brain slices with simultaneous electrophysiological recordings and provides temporal and spatial resolution not previously possible. Using this glutamate FRET sensor loading and imaging protocol, we show that changes in network excitability and glutamate re-uptake alter evoked glutamate transients and produce correlated changes in evoked-cortical field potentials. Given the sophisticated advantages of brain slices for electrophysiological and imaging protocols, the ability to perform real-time imaging of glutamate in slices should lead to key insights in brain function relevant to plasticity, development and pathology. This technique also provides a unique assay of network activity that compliments alternative techniques such as voltage-sensitive dyes and multi-electrode arrays.

Staging models are widely used in clinical medicine, and offer an insight into the progressive nature of many disorders. In general, the earlier stages of illness may be associated with a better prognosis and a higher treatment response. Once chronicity is reached, more complex and invasive treatments may be required, and the utility of treatments may decline. There is evidence that treatment response is greatest in the early phases of the disorder. There is also a progressive social and psychological burden of ongoing illness. This is paralleled by the twin notions of neuroprotection, which is supported by increasing evidence that structural changes in the disorder may be progressive and reversible with algorithm appropriate treatment, and that of early intervention, which posits that the optimal window for intervention is early in the illness course. A staging model compliments existing and proposed classifications of bipolar disorder, adding a temporal dimension to a cross sectional view. It may inform treatment choice and prognosis, and could have utility as a course specifier.

Cerebral edema formation stems from disruption of blood brain barrier (BBB) integrity and occurs after injury to the CNS. Due to the restrictive skull, relatively small increases in brain volume can translate into impaired tissue perfusion and brain herniation. In excess, cerebral edema can be gravely harmful. Astrocytes are key participants in cerebral edema by virtue of their relationship with the cerebral vasculature, their unique compliment of solute and water transport proteins, and their general role in brain volume homeostasis. Following the discovery of aquaporins, passive conduits of water flow, aquaporin 4 (AQP4) was identified as the predominant astrocyte water channel. Normally, AQP4 is highly enriched at perivascular endfeet, the outermost layer of the BBB, whereas after injury, AQP4 expression disseminates to the entire astrocytic plasmalemma, a phenomenon termed dysregulation. Arguably, the most important role of AQP4 is to rapidly neutralize osmotic gradients generated by ionic transporters. In pathological conditions, AQP4 is believed to be intimately involved in the formation and clearance of cerebral edema. In this review, we discuss aquaporin function and localization in the BBB during health and injury, and we examine post-injury ionic events that modulate AQP4-dependent edema formation.

Cancer drug resistance is a complex, dynamic, and "elusive" system rather than merely a matter of some drug-resistant factors. Current pharmacological approaches aim to restore the efficacy of the standard chemotherapy against drug-resistant cancers via reactivating apoptosis and inhibiting drug transporters, simply because the current available anticancer drugs mostly induce apoptosis and many of them are the substrates/inducers of the drug transporters. However, since there are so many different types of defects in apoptotic pathways as well as numerous drug transporters, which could simultaneously contribute to cancer drug resistance, to succeed in the approach is theoretically possible but practically extremely difficult. To circumvent cancer drug resistance is an alternative choice. Since there are multiple death pathways with molecular mechanisms distinct from each other, we previously proposed that the barriers set up in cancer cells to avoid one pathway were not problems for another. Thus, no matter how dynamic, complex, and "elusive" the resistance occurs along one death pathway (e.g., apoptosis), the resistance would be sequestered within this pathway, and would not affect another death pathway with mechanisms distinct from the former, and vice versa, e.g., apoptotic resistant cancers can be sensitive to an induction of a nonapoptotic death. Indeed, we recently demonstrated that the cancer cells resistant to apoptotic inducers such as anthracycline antibiotics, vinca alkaloids, epipodophylotoxins, were sensitive to necroptotic inducers such as shikonin. Therefore, to bypass cancer drug resistance is principally achievable by simultaneously activating multiple death pathways using combined classes of death inducers (apoptosis, autophagy, necroptosis, etc.). Although each class of death inducers has its own action window and limit in killing cancer cells, a rationalized combination of several classes of death inducers that compliment each other would maximize their efficacy while simultaneously minimizing their weakness. Such "mixed bullets" would probably achieve a good therapeutic efficacy by bypassing cancer drug resistance.

An organism's awareness of its surroundings is dependent on sensory function. As antennas to our external environment, cilia are involved in fundamental biological processes such as olfaction, photoreception, and touch. The olfactory system has adapted this organelle for its unique sensory function and optimized it for detection of external stimuli. The elongated and tapering structure of olfactory cilia and their organization into an overlapping meshwork bathed by the nasal mucosa is optimized to enhance odor absorption and detection. As many as 15-30 nonmotile, sensory cilia on dendritic endings of single olfactory sensory neurons (OSNs) compartmentalize signaling molecules necessary for odor detection allowing for efficient and spatially confined responses to sensory stimuli. Although the loss of olfactory cilia or deletion of selected components of the olfactory signaling cascade leads to anosmia, the mechanisms of ciliogenesis and the selected enrichment of signaling molecules remain poorly understood. Much of our current knowledge is the result of elegant electron microscopy studies describing the structure and organization of the olfactory epithelium and cilia. New genetic and cell biological approaches, which compliment these early studies, show promise in elucidating the mechanisms of olfactory cilia assembly, maintenance, and compartmentalization. Importantly, emerging evidence suggests that olfactory dysfunction represents a previously unrecognized clinical manifestation of multiple ciliary disorders. Future work investigating the mechanisms of olfactory dysfunction combining both clinical studies with basic science research will provide us important new information regarding the pathogenesis of human sensory perception diseases.

Cardiac muscle activation is initiated by the binding of Ca(2+) to the single N-domain regulatory site of cardiac muscle troponin C (cTnC). Ca(2+) binding causes structural changes between cTnC and two critical regions of cardiac muscle troponin I (cTnI): the regulatory region (cTnI-R, residues 150-165) and the inhibitory region (cTnI-I, residues130-149). These changes are associated with a decreased cTnI affinity for actin and a heightened affinity for cTnC. Using Förster resonance energy transfer, we have measured three intra-cTnI distances in the deactivated (Mg(2+)-saturated) and Ca(2+)-activated (Ca(2+)-saturated) states in reconstituted binary (cTnC-cTnI) and ternary (cTnC-cTnI-cTnT) troponin complexes. Distance A (spanning cTnI-R) was unaltered by Ca(2+). Distances B (spanning both cTnI-R and cTnI-I) and C (from a residue flanking cTnI-I to a residue in the center of cTnI-R) exhibited Ca(2+)-induced increases of >8 A. These results compliment our previous determination of the distance between residues flanking cTnI-I alone. Together, the data suggest that Ca(2+) activation causes residues within cTnI-I to switch from a beta-turn/coil to an extended quasi-alpha-helical conformation as the actin-contacts are broken, whereas cTnI-R remains alpha-helical in both Mg(2+)- and Ca(2+)-saturated states. We have used the data to construct a structural model of the cTnI inhibitory and regulatory regions in the Mg(2+)- and Ca(2+)-saturated states.

The iron-responsive element (IRE) is a 30nt RNA motif located in the non-coding regions of mRNAs of proteins involved in iron regulation. In humans, the IRE plays a direct role in the control of iron levels by post-transcriptional regulation of the ferritin and transferrin receptor proteins through highly specific recognition by IRE-binding proteins. The IRE fold is representative of many RNA motifs that contain helical domains separated by a bulge or internal loop. The global structures of such extended multi-domain RNAs are not well defined by conventional NMR-distance and torsion angle structural restraints. Residual dipolar couplings (RDCs) are employed here to better define the global structure of the IRE RNA in solution. RDCs contain valuable long-range structural information that compliments the short-range structural data derived from standard NOE-distance and torsion angle restraints. Several approaches for estimating alignment tensor parameters and incorporating RDCs into RNA structure determinations are compared. Both the local and global structure of the IRE are improved significantly by refinement with RDCs. These RDC refinements provide insight on the conformational dynamics of the IRE. These studies highlight some issues that need to be addressed when incorporating RDCs in solution structure determinations of nucleic acids. The approach used here should prove valuable for structure determinations of various multi-domain systems.

Violent crime within a neighborhood as well as perceptions of neighborhood safety may impact the depressive symptoms experienced by community-dwelling older people. Most studies examining the influences of neighborhood characteristics on mental health have included either objective indicators or subjective perceptions and most operationalize neighborhood as a function of socioeconomic status. This study examines the effects that objectively assessed neighborhood violent crime and subjective perceptions of neighborhood safety in tandem have on depressive symptoms. The sample identified using random-digit-dialing procedures included 5688 persons aged 50-74 living in New Jersey (USA). Using multilevel structural equation analyses, we tested the hypothesis that higher levels of neighborhood violent crime and poorer perceptions of neighborhood safety are associated with higher levels of depressive symptoms, controlling for age, sex, and household income. Results supported the hypotheses. We conclude that interventions at the neighborhood level that reduce violent crime may be needed to compliment efforts at the individual level in order to reduce the depressive symptoms experienced by older people.

Proteolytic degradation of unwanted proteins by the ubiquitin-proteasome system (UPS) is critical for normal maintenance of various cellular functions. Parkinson's disease (PD), one of the most prevalent neurodegenerative disorders, is characterized by prominent and irreversible nigral dopaminergic neuronal loss and intracellular protein aggregations. Epidemiological studies imply both environmental neurotoxins and genetic predisposition as potential risk factors for PD, though mechanisms underlying selective dopaminergic degeneration remain unclear. Studies with experimental PD models and postmortem PD brains have provided explicit evidence for mitochondria dysfunction and oxidative stress in PD pathogenesis. Recent identification of mutants in PINK1, DJ-1, Parkin, and LRRK-2 genes compliments the oxidative stress and mitochondrial dysfunction hypotheses in dopaminergic neuronal degeneration in PD. Mutants of alpha-synuclein, Uch-L1 and Parkin support the involvement of UPS dysfunction in PD. Furthermore, various Parkinsonian toxicants have been shown to impair mitochondrial function, redox balances, and to some extent protein degradation machinery. Because environmental exposure to various neurotoxic agents is considered a dominant risk for development of PD, the interrelationship between neurotoxicant exposures and UPS dysfunction must be clearly understood. Elucidation of this interrelationship will help clarify 2 areas: (i) whether UPS dysfunction in PD is a primary pathogenic factor leading to nigral neuronal death or if it simply occurs as a consequence of oxidative stress and mitochondrial dysfunction and (ii) the interaction of genes and environment in the acceleration of nigral dopaminergic degeneration by targeting UPS. We review the recent evidence for UPS deficits in dopaminergic degeneration triggered by neurotoxins.

OBJECTIVE

To evaluate clinical trials and neurochemical mechanisms of the action of traditional herbal remedies and acupuncture for treating drug addiction.

METHODS

We used computerized literature searches in English and Chinese and examined texts written before these computerized databases existed. We used search terms of treatment and neurobiology of herbal medicines, and acupuncture for drug abuse and dependence.

RESULTS

Acupuncture showed evidence for clinical efficacy and relevant neurobiological mechanisms in opiate withdrawal, but it showed poor efficacy for alcohol and nicotine withdrawal or relapse prevention, and no large studies supported its efficacy for cocaine in well-designed clinical trials. Clinical trials were rare for herbal remedies. Radix Puerariae showed the most promising efficacy for alcoholism by acting through daidzin, which inhibits mitocochondrial aldehyde dehydrogenase 2 and leads to disulfiram-like alcohol reactions. Peyote also has some evidence for alcoholism treatment among Native Americans. Ginseng and Kava lack efficacy data in addictions, and Kava can be hepatotoxic. Thunbergia laurifolia can protect against alcoholic liver toxicity. Withania somnifera and Salvia miltiorrhiza have no efficacy data, but can reduce morphine tolerance and alcohol intake, respectively, in animal models.

CONCLUSIONS

Traditional herbal treatments can compliment pharmacotherapies for drug withdrawal and possibly relapse prevention with less expense and perhaps fewer side effects with notable exceptions. Both acupuncture and herbal treatments need testing as adjuncts to reduce doses and durations of standard pharmacotherapies.

"Drying without dying" is an essential trait in land plant evolution. Unraveling how a unique group of angiosperms, the Resurrection Plants, survive desiccation of their leaves and roots has been hampered by the lack of a foundational genome perspective. Here we report the ∼1,691-Mb sequenced genome of Boea hygrometrica, an important resurrection plant model. The sequence revealed evidence for two historical genome-wide duplication events, a compliment of 49,374 protein-coding genes, 29.15% of which are unique (orphan) to Boea and 20% of which (9,888) significantly respond to desiccation at the transcript level. Expansion of early light-inducible protein (ELIP) and 5S rRNA genes highlights the importance of the protection of the photosynthetic apparatus during drying and the rapid resumption of protein synthesis in the resurrection capability of Boea. Transcriptome analysis reveals extensive alternative splicing of transcripts and a focus on cellular protection strategies. The lack of desiccation tolerance-specific genome organizational features suggests the resurrection phenotype evolved mainly by an alteration in the control of dehydration response genes.

The cyclooxygenases (COX-1 and COX-2) oxygenate arachidonic acid (AA) in the committed step of prostaglandin biogenesis. Substitutions of I434V, H513R, and I523V constitute the only differences in residues lining the cyclooxygenase channel between COX-1 and COX-2. These changes create a hydrophobic pocket in COX-2, with Arg-513 located at the base of the pocket, which has been exploited in the design of COX-2-selective inhibitors. Previous studies have shown that COX-2, but not COX-1, can oxygenate endocannabinoid substrates, including 2-arachidonoyl glycerol (2-AG). To investigate the isoform-specific structural basis of endocannabinoid binding to COX-2, we determined the crystal structure of the 2-AG isomer 1-arachidonoyl glycerol (1-AG) in complex with wild type and R513H murine (mu) COX-2 to 2.2 and 2.35 Å, respectively, and R513H muCOX-2 in complex with AA to 2.45 Å resolution. The 2,3-dihydroxypropyl moiety of 1-AG binds near the opening of the cyclooxygenase channel in the space vacated by the movement of the Leu-531 side chain, validating our previous hypothesis implicating the flexibility of the Leu-531 side chain as a determinant for the ability of COX-2 to oxygenate endocannabinoid substrates. Functional analyses carried out to compliment our structural findings indicated that Y355F and R513H muCOX-2 constructs had no effect on the oxygenation of 1-AG and 2-AG, whereas substitutions that resulted in a shortened side chain for Leu-531 had only modest effects. Both AA and 1-AG bind to R513H muCOX-2 in conformations similar to those observed in the co-crystal structures of these substrates with wild type enzyme.

Mesenchymal stem cells (MSCs) are known to differentiate into connective tissue lineages but intracellular signaling pathways that maintain cells in an undifferentiated state remain largely unexplored. Previously, we reported that fibroblast growth factor 2 (Fgf2) reversibly inhibited multilineage differentiation of primary mouse MSCs and now identify a unique compliment of signaling proteins that are dynamically regulated by this mitogen and whose expression levels are strongly correlated with inhibition of cell differentiation. Fgf2 selectively induced expression of Twist2 and Sprouty4 (Spry4) and repressed expression of soluble frizzled related receptor 2 (Sfrp2), runt-related transcription factor 2 (Runx2), and peroxisome proliferation activated receptor gamma (Pparg). In contrast, Wnt3a induced expression of Twist but not Twist2 or Spry4 and bone morphogenetic protein 2 (Bmp2) failed to alter expression of all three genes. Moreover, pretreatment of MSCs with Fgf2 delayed extracellular regulated kinase 1 (Erk1) and Erk2 phosphorylation and repressed bone-specific gene expression during an osteoinduction time course. Alternatively, pretreatment with Wnt3a had no effect, whereas Bmp2 pretreatment augmented Erk1/2 activation and bone-specific gene expression. Fgf2 also induced expression of Fgf receptor 1 (Fgfr1) and Fgfr4 and repressed Fgfr2 and Fgfr3 expression in MSCs, whereas Wnt3a and Bmp2 had the opposite effect. Finally, immunostaining revealed that Twist and Spry4 were coexpressed in MSCs and that Fgf2 treatment altered their subcellular distribution in a manner consistent with their mode of action. Collectively, these studies demonstrate that inhibition of mouse MSC differentiation by Fgf2 is strongly correlated with upregulation of Twist2 and Spry4 and suppression of Erk1/2 activation.