Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networks

Background

Computational prediction of functionally related groups of genes (functional modules) from large-scale data is an important issue in computational biology. Gene expression experiments and interaction networks are well studied large-scale data sources, available for many not yet exhaustively annotated organisms. It has been well established, when analyzing these two data sources jointly, modules are often reflected by highly interconnected (dense) regions in the interaction networks whose participating genes are co-expressed. However, the tractability of the problem had remained unclear and methods by which to exhaustively search for such constellations had not been presented.

Methodology/Principal Findings

We provide an algorithmic framework, referred to as Densely Connected Biclustering (DECOB), by which the aforementioned search problem becomes tractable. To benchmark the predictive power inherent to the approach, we computed all co-expressed, dense regions in physical protein and genetic interaction networks from human and yeast. An automatized filtering procedure reduces our output which results in smaller collections of modules, comparable to state-of-the-art approaches. Our results performed favorably in a fair benchmarking competition which adheres to standard criteria. We demonstrate the usefulness of an exhaustive module search, by using the unreduced output to more quickly perform GO term related function prediction tasks. We point out the advantages of our exhaustive output by predicting functional relationships using two examples.

Conclusion/Significance

We demonstrate that the computation of all densely connected and co-expressed regions in interaction networks is an approach to module discovery of considerable value. Beyond confirming the well settled hypothesis that such co-expressed, densely connected interaction network regions reflect functional modules, we open up novel computational ways to comprehensively analyze the modular organization of an organism based on prevalent and largely available large-scale datasets.

Availability

Software and data sets are available at http://www.sfu.ca/~ester/software/DECOB.zip.     

Identifying Hubs in Protein Interaction Networks

Background

In spite of the scale-free degree distribution that characterizes most protein interaction networks (PINs), it is common to define an ad hoc degree scale that defines “hub” proteins having special topological and functional significance. This raises the concern that some conclusions on the functional significance of proteins based on network properties may not be robust.

Methodology

In this paper we present three objective methods to define hub proteins in PINs: one is a purely topological method and two others are based on gene expression and function. By applying these methods to four distinct PINs, we examine the extent of agreement among these methods and implications of these results on network construction.

Conclusions

We find that the methods agree well for networks that contain a balance between error-free and unbiased interactions, indicating that the hub concept is meaningful for such networks.     

Inferring gene-phenotype associations via global protein complex network propagation

Background

Phenotypically similar diseases have been found to be caused by functionally related genes, suggesting a modular organization of the genetic landscape of human diseases that mirrors the modularity observed in biological interaction networks. Protein complexes, as molecular machines that integrate multiple gene products to perform biological functions, express the underlying modular organization of protein-protein interaction networks. As such, protein complexes can be useful for interrogating the networks of phenome and interactome to elucidate gene-phenotype associations of diseases.

Methodology/Principal Findings

We proposed a technique called RWPCN (Random Walker on Protein Complex Network) for predicting and prioritizing disease genes. The basis of RWPCN is a protein complex network constructed using existing human protein complexes and protein interaction network. To prioritize candidate disease genes for the query disease phenotypes, we compute the associations between the protein complexes and the query phenotypes in their respective protein complex and phenotype networks. We tested RWPCN on predicting gene-phenotype associations using leave-one-out cross-validation; our method was observed to outperform existing approaches. We also applied RWPCN to predict novel disease genes for two representative diseases, namely, Breast Cancer and Diabetes.

Conclusions/Significance

Guilt-by-association prediction and prioritization of disease genes can be enhanced by fully exploiting the underlying modular organizations of both the disease phenome and the protein interactome. Our RWPCN uses a novel protein complex network as a basis for interrogating the human phenome-interactome network. As the protein complex network can capture the underlying modularity in the biological interaction networks better than simple protein interaction networks, RWPCN was found to be able to detect and prioritize disease genes better than traditional approaches that used only protein-phenotype associations.     

Glucokinase regulatory protein genetic variant interacts with omega-3 PUFA to influence insulin resistance and inflammation in metabolic syndrome

Glucokinase Regulatory Protein (GCKR) plays a central role regulating both hepatic triglyceride and glucose metabolism. Fatty acids are key metabolic regulators, which interact with genetic factors and influence glucose metabolism and other metabolic traits. Omega-3 polyunsaturated fatty acids (n-3 PUFA) have been of considerable interest, due to their potential to reduce metabolic syndrome (MetS) risk.

Objective

To examine whether genetic variability at the GCKR gene locus was associated with the degree of insulin resistance, plasma concentrations of C-reactive protein (CRP) and n-3 PUFA in MetS subjects.

Design

Homeostasis model assessment of insulin resistance (HOMA-IR), HOMA-B, plasma concentrations of C-peptide, CRP, fatty acid composition and the GCKR rs1260326-P446L polymorphism, were determined in a cross-sectional analysis of 379 subjects with MetS participating in the LIPGENE dietary cohort.

Results

Among subjects with n-3 PUFA levels below the population median, carriers of the common C/C genotype had higher plasma concentrations of fasting insulin (P = 0.019), C-peptide (P = 0.004), HOMA-IR (P = 0.008) and CRP (P = 0.032) as compared with subjects carrying the minor T-allele (Leu446). In contrast, homozygous C/C carriers with n-3 PUFA levels above the median showed lower plasma concentrations of fasting insulin, peptide C, HOMA-IR and CRP, as compared with individuals with the T-allele.

Conclusions

We have demonstrated a significant interaction between the GCKR rs1260326-P446L polymorphism and plasma n-3 PUFA levels modulating insulin resistance and inflammatory markers in MetS subjects. Further studies are needed to confirm this gene-diet interaction in the general population and whether targeted dietary recommendations can prevent MetS in genetically susceptible individuals.

Trial Registration

ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT00429195","term_id":"NCT00429195"}}NCT00429195     

Stress-coping and cortisol analysis in patients with non-syndromic cleft lip and palate: an explorative study

Background

Non-syndromic clefts of the orofacial region occur in approximately 1 per 500 to 2,500 live births, depending on geographical area and ethnicity. It can be supposed that the disruption of the normal facial structure and the long-standing pressure of treatment from birth to adulthood bring about a range of life stressors which may lead to a long-lasting impact on affected subjects throughout their lives. Therefore, the present study aimed to assess different aspects of psychosocial stress in affected individuals.

Methods

The study was divided into two parts: first, the Trier Social Stress Test which involves uncontrollability and high levels of social-evaluative stress under real conditions and second, the query of various aspects of coping with psychosocial stress. The test group consisted of 30 affected adult subjects, and an equally sized control group of unaffected volunteers. Cortisol dysregulation was determined by saliva samples before and after stress induction. Meanwhile, participants were asked to complete the SVF 120 stress-coping questionnaire.

Results

The analysis of saliva samples showed a similar baseline concentration as well as a similar increase in cortisol levels after stress induction for both groups. Subsequently, the decline in cortisol concentrations was significantly faster in the CLP group (course: p<0.001; groups: p = 0.102; interaction: p = 0.167). The evaluation of the stress-coping questionnaire revealed a significantly shorter rumination about a stressful event in individuals with CLP-related malformations (p = 0.03).

Conclusion

We conclude that adults with CLP have significantly better stress-coping strategies than their healthy peers.

Trial Registration

German Clinical Trials Organization DRKS00003466     

Internet-based CBT for depression with and without telephone tracking in a national helpline: randomised controlled trial

Background

Telephone helplines are frequently and repeatedly used by individuals with chronic mental health problems and web interventions may be an effective tool for reducing depression in this population.

Aim

To evaluate the effectiveness of a 6 week, web-based cognitive behaviour therapy (CBT) intervention with and without proactive weekly telephone tracking in the reduction of depression in callers to a helpline service.

Method

155 callers to a national helpline service with moderate to high psychological distress were recruited and randomised to receive either Internet CBT plus weekly telephone follow-up; Internet CBT only; weekly telephone follow-up only; or treatment as usual.

Results

Depression was lower in participants in the web intervention conditions both with and without telephone tracking compared to the treatment as usual condition both at post intervention and at 6 month follow-up. Telephone tracking provided by a lay telephone counsellor did not confer any additional advantage in terms of symptom reduction or adherence.

Conclusions

A web-based CBT program is effective both with and without telephone tracking for reducing depression in callers to a national helpline.

Trial Registration

Controlled-Trials.com ISRCTN93903959     

Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index

Background

Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance.

Objective

To identify blood predictors for weight change after weight loss following the dietary intervention within the Diogenes study.

Design

Blood samples were collected at baseline and after 8-week low caloric diet-induced weight loss from 48 women who continued to lose weight and 48 women who regained weight during subsequent 6-month dietary intervention period with 4 diets varying in protein and GI levels. Thirty-one proteins and 3 steroid hormones were measured.

Results

Angiotensin I converting enzyme (ACE) was the most important predictor. Its greater reduction during the 8-week weight loss was related to continued weight loss during the subsequent 6 months, identified by both Logistic Regression and Random Forests analyses. The prediction power of ACE was influenced by immunoproteins, particularly fibrinogen. Leptin, luteinizing hormone and some immunoproteins showed interactions with dietary protein level, while interleukin 8 showed interaction with GI level on the prediction of weight maintenance. A predictor panel of 15 variables enabled an optimal classification by Random Forests with an error rate of 24±1%. A logistic regression model with independent variables from 9 blood analytes had a prediction accuracy of 92%.

Conclusions

A selected panel of blood proteins/steroids can predict the weight change after weight loss. ACE may play an important role in weight maintenance. The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss.

Registration

ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT00390637","term_id":"NCT00390637"}}NCT00390637     

Netazepide,a Gastrin Receptor Antagonist,Normalises Tumour Biomarkers and Causes Regression of Type 1 Gastric Neuroendocrine Tumours in a Nonrandomised Trial of Patients with Chronic Atrophic Gastritis

Introduction

Autoimmune chronic atrophic gastritis (CAG) causes hypochlorhydria and hypergastrinaemia, which can lead to enterochromaffin-like (ECL) cell hyperplasia and gastric neuroendocrine tumours (type 1 gastric NETs). Most behave indolently, but some larger tumours metastasise. Antrectomy, which removes the source of the hypergastrinaemia, usually causes tumour regression. Non-clinical and healthy-subject studies have shown that netazepide (YF476) is a potent, highly selective and orally-active gastrin/CCK-2 receptor antagonist. Also, it is effective in animal models of ECL-cell tumours induced by hypergastrinaemia.

Aim

To assess the effect of netazepide on tumour biomarkers, number and size in patients with type I gastric NETs.

Methods

We studied 8 patients with multiple tumours and raised circulating gastrin and chromogranin A (CgA) concentrations in an open trial of oral netazepide for 12 weeks, with follow-up 12 weeks later. At 0, 6, 12 and 24 weeks, we carried out gastroscopy, counted and measured tumours, and took biopsies to assess abundances of several ECL-cell constituents. At 0, 3, 6, 9, 12 and 24 weeks, we measured circulating gastrin and CgA and assessed safety and tolerability.

Results

Netazepide was safe and well tolerated. Abundances of CgA (p<0.05), histidine decarboxylase (p<0.05) and matrix metalloproteinase-7(p<0.10) were reduced at 6 and 12 weeks, but were raised again at follow-up. Likewise, plasma CgA was reduced at 3 weeks (p<0.01), remained so until 12 weeks, but was raised again at follow-up. Tumours were fewer and the size of the largest one was smaller (p<0.05) at 12 weeks, and remained so at follow-up. Serum gastrin was unaffected.

Conclusion

The reduction in abundances, plasma CgA, and tumour number and size by netazepide show that type 1 NETs are gastrin-dependent tumours. Failure of netazepide to increase serum gastrin further is consistent with achlorhydria. Netazepide is a potential new treatment for type 1 NETs. Longer, controlled trials are justified.

Trial Registration

European Union EudraCT database 2007-002916-24 https://www.clinicaltrialsregister.eu/ctr-search/search?query=2007-002916-24 ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT01339169","term_id":"NCT01339169"}}NCT01339169 http://clinicaltrials.gov/ct2/show/{"type":"clinical-trial","attrs":{"text":"NCT01339169","term_id":"NCT01339169"}}NCT01339169?term=yf476&rank=5     

FastBLAST: homology relationships for millions of proteins

Background

All-versus-all BLAST, which searches for homologous pairs of sequences in a database of proteins, is used to identify potential orthologs, to find new protein families, and to provide rapid access to these homology relationships. As DNA sequencing accelerates and data sets grow, all-versus-all BLAST has become computationally demanding.

Methodology/Principal Findings

We present FastBLAST, a heuristic replacement for all-versus-all BLAST that relies on alignments of proteins to known families, obtained from tools such as PSI-BLAST and HMMer. FastBLAST avoids most of the work of all-versus-all BLAST by taking advantage of these alignments and by clustering similar sequences. FastBLAST runs in two stages: the first stage identifies additional families and aligns them, and the second stage quickly identifies the homologs of a query sequence, based on the alignments of the families, before generating pairwise alignments. On 6.53 million proteins from the non-redundant Genbank database (“NR”), FastBLAST identifies new families 25 times faster than all-versus-all BLAST. Once the first stage is completed, FastBLAST identifies homologs for the average query in less than 5 seconds (8.6 times faster than BLAST) and gives nearly identical results. For hits above 70 bits, FastBLAST identifies 98% of the top 3,250 hits per query.

Conclusions/Significance

FastBLAST enables research groups that do not have supercomputers to analyze large protein sequence data sets. FastBLAST is open source software and is available at http://microbesonline.org/fastblast.     

Detecting protein complexes from active protein interaction networks constructed with dynamic gene expression profiles

Background

Protein interaction networks (PINs) are known to be useful to detect protein complexes. However, most available PINs are static, which cannot reflect the dynamic changes in real networks. At present, some researchers have tried to construct dynamic networks by incorporating time-course (dynamic) gene expression data with PINs. However, the inevitable background noise exists in the gene expression array, which could degrade the quality of dynamic networkds. Therefore, it is needed to filter out contaminated gene expression data before further data integration and analysis.

Results

Firstly, we adopt a dynamic model-based method to filter noisy data from dynamic expression profiles. Then a new method is proposed for identifying active proteins from dynamic gene expression profiles. An active protein at a time point is defined as the protein the expression level of whose corresponding gene at that time point is higher than a threshold determined by a standard variance involved threshold function. Furthermore, a noise-filtered active protein interaction network (NF-APIN) is constructed. To demonstrate the efficiency of our method, we detect protein complexes from the NF-APIN, compared with those from other dynamic PINs.

Conclusion

A dynamic model based method can effectively filter out noises in dynamic gene expression data. Our method to compute a threshold for determining the active time points of noise-filtered genes can make the dynamic construction more accuracy and provide a high quality framework for network analysis, such as protein complex prediction.

     

Lithium monotherapy increases ACTH and cortisol response in the DEX/CRH test in unipolar depressed subjects. A study with 30 treatment-naive patients

Background

Distorted activity of the hypothalamic-pituitary-adrenocortical (HPA) system is one of the most robustly documented biological abnormalities in major depression. Lithium is central to the treatment of affective disorders, but little is known about its effects on the HPA system of depressed subjects.

Objective

To assess the effects of lithium monotherapy on the HPA system of patients with major depression by means of the combined DEX/CRH test.

Method

Thirty drug-naive outpatients with major depression (single episode or unipolar recurrent; SCID I- and II-confirmed) were treated with lithium monotherapy for four weeks. The DEX/CRH test was conducted directly before intake of the first lithium tablet and four weeks thereafter. Weekly ratings with the HDRS₂₁ were used to determine response (≥50% symptom reduction) and remission (HDRS ≤7).

Results

Lithium levels within the therapeutic range were achieved rapidly. Tolerability was good; no patient terminated the treatment prematurely. Response and remission rates were 50% and 33% respectively. Compared to the DEX/CRH test before the start of the treatment, a considerable and significant increase in all CRH-stimulated ACTH and cortisol parameters could be detected in the second DEX/CRH test. When analysed with particular regard to responders and non-responders, that significant increase was only present in the responders.

Conclusions

We were able to demonstrate that lithium leads to a significant activation of the HPA system. This is possibly connected to stimulation of hypothalamic arginine vasoporessin (AVP), to direct intracellular effects of lithium on pituitary cells and to an induction of gene expression.

Trial Registration

drks-nue.uniklinik-freiburg.de DRKS00003185     

Differential Auxin-Transporting Activities of PIN-FORMED Proteins in Arabidopsis Root Hair Cells

The Arabidopsis (Arabidopsis thaliana) genome includes eight PIN-FORMED (PIN) members that are molecularly diverged. To comparatively examine their differences in auxin-transporting activity and subcellular behaviors, we expressed seven PIN proteins specifically in Arabidopsis root hairs and analyzed their activities in terms of the degree of PIN-mediated root hair inhibition or enhancement and determined their subcellular localization. Expression of six PINs (PIN1–PIN4, PIN7, and PIN8) in root hair cells greatly inhibited root hair growth, most likely by lowering auxin levels in the root hair cell by their auxin efflux activities. The auxin efflux activity of PIN8, which had not been previously demonstrated, was further confirmed using a tobacco (Nicotiana tabacum) cell assay system. In accordance with these results, those PINs were localized in the plasma membrane, where they likely export auxin to the apoplast and formed internal compartments in response to brefeldin A. These six PINs conferred different degrees of root hair inhibition and sensitivities to auxin or auxin transport inhibitors. Conversely, PIN5 mostly localized to internal compartments, and its expression in root hair cells rather slightly stimulated hair growth, implying that PIN5 enhanced internal auxin availability. These results suggest that different PINs behave differentially in catalyzing auxin transport depending upon their molecular activity and subcellular localization in the root hair cell.Auxin plays a critical role in plant development and growth by forming local concentration gradients. Local auxin gradients, created by the polar cell-to-cell movement of auxin, are implicated in primary axis formation, root meristem patterning, lateral organ formation, and tropic movements of shoots and roots (for recent review, see Vanneste and Friml, 2009). The cell-to-cell movement of auxin is achieved by auxin influx and efflux transporters such as AUXIN-RESISTANT1 (AUX1)/LIKE-AUX1 for influx and PIN-FORMED (PIN) and the P-glycoprotein (PGP) of ABCB (ATP-binding cassette-type transporter subfamily B) for efflux. Since diffusive efflux of the natural auxin indole-3-acetic acid (IAA; pKa = 4.75) is not favorable and PINs are localized in the plasma membrane in a polar manner, PINs act as rate-limiting factors for cellular auxin efflux and polar auxin transport through the plant body. These PINs'' properties explain why representative physiological effects of auxin transport are associated with PINs.Auxin flows from young aerial parts all the way down to the root tip columella in which an auxin maximum is formed for root stem cell maintenance and moves up toward the root differentiation zone through root epidermal cells, where a part of it travels back to the root tip via cortical cells (Blilou et al., 2005). This directional auxin flow is supported by the polar localization of PINs: PIN1, PIN3, and PIN7 at the basal side of stele cells (Friml et al., 2002a, 2002b; Blilou et al., 2005), PIN4 at the basal side in root stem cells (Friml et al., 2002a), and PIN2 at the upper side of root epidermis and at the basal side of the root cortex (Luschnig et al., 1998; Müller et al., 1998). Another interesting aspect of PIN-mediated auxin transport is the dynamics in directionality of auxin flow due to environmental stimuli-directed changes of subcellular PIN polarity, as exemplified for PIN3, whose subcellular localization changes in response to the gravity vector (Friml et al., 2002b).An intriguing question is how different PIN proteins have different subcellular polarities, which might be attributable to PIN-specific molecular properties, cell-type-specific factors, or both. The different PIN subcellular polarities in different cell types seemingly indicate that cell-type-specific factors are involved in polarity. In the case of PIN1, however, both classes of factors appear to affect its subcellular localization because when expressed under the PIN2 promoter, PIN1 localizes to the upper or basal side of root epidermal cells, depending on the GFP insertion site of the protein (Wiśniewska et al., 2006). A recent study demonstrated that the polar targeting of PIN proteins is modulated by phosphorylation/dephosphorylation of the central hydrophilic loop of PINs, which is mediated by PINOID (PID; a Ser/Thr protein kinase)/PP2A phosphatase (Michniewicz et al., 2007). The central hydrophilic domain of PINs might provide the molecule-specific cue for PIN polarity, together with as yet unknown cell-specific factors. Different recycling behaviors of PINs, which show variable sensitivities to brefeldin A (BFA), also imply different molecular characters among PIN species. Most PIN1 proteins are internalized by BFA treatment, whereas considerable amounts of PIN2 remain in the plasma membrane in addition to internal accumulation after BFA treatment. Recycling and basal polar targeting of PIN1 is dependent on the BFA-sensitive guanine nucleotide exchange factor for adenosyl ribosylation factors (ARF GEFs), GNOM, which is the major target of BFA. In contrast, apical targeting and recycling of PIN2 is independent of GNOM and controlled by BFA-resistant ARF GEFs (Geldner et al., 2003; Kleine-Vehn and Friml, 2008).In contrast to their distinct subcellular localizations, the differential auxin-transporting activities of PINs remain to be studied. The divergent primary structures of PIN proteins are not only indicative of differential subcellular polarity, but also would represent their differential catalytic activities for auxin transport. The auxin efflux activities of Arabidopsis (Arabidopsis thaliana) PINs have been demonstrated using Arabidopsis and heterologous systems: PIN1 and PIN5 in Arabidopsis cells (Petrásek et al., 2006; Mravec et al., 2009); PIN2, PIN3, PIN4, PIN6, and PIN7 in tobacco (Nicotiana tabacum) Bright Yellow-2 (BY-2) cells (Lee and Cho, 2006; Petrásek et al., 2006; Mravec et al., 2008); PIN1, PIN2, PIN5, and PIN7 in yeast (Saccharomyces cerevisiae) cells (Petrásek et al., 2006; Blakeslee et al., 2007; Mravec et al., 2009; Yang and Murphy, 2009); and PIN1, PIN2, and PIN7 in HeLa cells (Petrásek et al., 2006; Blakeslee et al., 2007). Among the eight Arabidopsis PIN members, PIN1, PIN2, PIN3, PIN4, PIN6, and PIN7, which share a similar molecular structure in terms of the presence of a long central loop (hereafter called long-looped PINs; Fig. 1A; Supplemental Fig. S1), have been shown to catalyze auxin efflux at the cellular level. On the other hand, PIN5 and PIN8 possess a very short putative central loop (hereafter called short-looped PINs). Although PIN5 was recently shown to be localized in the endoplasmic reticulum (ER) and proposed to transport auxin metabolites into the ER lumen, its cellular function regarding its intracellular auxin-transporting activity has not been shown, and the auxin-transporting activity of PIN8 has yet to be demonstrated. In spite of the same transport directionality (auxin efflux) and similar molecular structures, the long-looped PINs exhibit sequence divergence not only in their central loop, but also in certain residues of the transmembrane domains. This structural divergence of long-looped PINs might be indicative of their differential auxin-transporting activities, which have not yet been quantitatively compared.Open in a separate windowFigure 1.Differential activities of PINs in the Arabidopsis root hair. A, Two distinctive PIN groups with different central hydrophilic loop sizes. Topology of PIN proteins was predicted by four different programs as described in Supplemental Figure S1. Numbers above indicate the number of transmembrane helices for each N- and C-terminal region, and numbers below indicate the number of amino acid residues of the central hydrophilic domain. B, Representative root images of control (Cont; Columbia-0) and root-hair-specific PIN-overexpressing (PINox; ProE7:PIN-GFP or ProE7:PIN [−]) plants. Bar = 100 μm for all. C, Root hair lengths of control and PINox plants. Six to 12 independent transgenic lines (average = 8.3), and 42 to 243 roots (average = 86.8) and 336 to 2,187 root hairs (average = 727.8) per construct, were observed for the estimation of root hair length. Data represent means ± se. The root hair lengths of PIN5ox lines were significantly longer than those of the control (P = 0.016 for PIN5ox; P < 0.0001 for PIN5-GFP1ox and PIN5-GFP2ox).To comparatively assess the cytological behaviors and molecular activities of different PIN members, it would be favorable to use a single assay system that provides a consistent cellular environment and enables quantitative estimation of PIN activity. In previous studies, we adopted the root hair single cell system to quantitatively assay auxin-transporting or regulatory activities of PINs, PGPs, AUX1, and PID (Lee and Cho, 2006; Cho et al., 2007a). Root hair growth is proportional to internal auxin levels in the root hair cell. Therefore, auxin efflux inhibits and auxin influx enhances root hair growth (Cho et al., 2007b; Lee and Cho, 2008). In addition, the use of a root-hair-specific promoter (Cho and Cosgrove, 2002; Kim et al., 2006) for expression of auxin transporters enables the transporters'' biological effect to be pinpointed to only the root hair cell, thus excluding probable non-cell-autonomous effects that could be caused by the general expression of auxin transporters.In this study, we expressed five long-looped PINs (PIN1, PIN2, PIN3, PIN4, and PIN7) and two short-looped PINs (PIN5 and PIN8) in root hair cells and compared their auxin-transporting activities and cytological dynamics. To directly measure the radiolabeled auxin-transporting activities of PIN5 and PIN8, we used an additional assay system, tobacco suspension cells. Our data revealed that PINs have differential molecular activities and pharmacological responses and that the short-looped and long-looped PINs have different subcellular localizations.     

Docosahexaenoic Acid for Reading, Cognition and Behavior in Children Aged 7-9 Years: A Randomized, Controlled Trial (The DOLAB Study)

Background

Omega-3 fatty acids are dietary essentials, and the current low intakes in most modern developed countries are believed to contribute to a wide variety of physical and mental health problems. Evidence from clinical trials indicates that dietary supplementation with long-chain omega-3 may improve child behavior and learning, although most previous trials have involved children with neurodevelopmental disorders such as attention-deficit/hyperactivity disorder (ADHD) or developmental coordination disorder (DCD). Here we investigated whether such benefits might extend to the general child population.

Objectives

To determine the effects of dietary supplementation with the long-chain omega-3 docosahexaenoic acid (DHA) on the reading, working memory, and behavior of healthy schoolchildren.

Design

Parallel group, fixed-dose, randomized, double-blind, placebo-controlled trial (RCT).

Setting

Mainstream primary schools in Oxfordshire, UK (n = 74).

Participants

Healthy children aged 7–9 years initially underperforming in reading (≤33^rd centile). 1376 invited, 362 met study criteria.

Intervention

600 mg/day DHA (from algal oil), or taste/color matched corn/soybean oil placebo.

Main Outcome Measures

Age-standardized measures of reading, working memory, and parent- and teacher-rated behavior.

Results

ITT analyses showed no effect of DHA on reading in the full sample, but significant effects in the pre-planned subgroup of 224 children whose initial reading performance was ≤20^th centile (the target population in our original study design). Parent-rated behavior problems (ADHD-type symptoms) were significantly reduced by active treatment, but little or no effects were seen for either teacher-rated behaviour or working memory.

Conclusions

DHA supplementation appears to offer a safe and effective way to improve reading and behavior in healthy but underperforming children from mainstream schools. Replication studies are clearly warranted, as such children are known to be at risk of low educational and occupational outcomes in later life.

Trial Registration

ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT01066182","term_id":"NCT01066182"}}NCT01066182 and Controlled-Trials.com ISRCTN99771026     

ProKinO: an ontology for integrative analysis of protein kinases in cancer

Background

Protein kinases are a large and diverse family of enzymes that are genomically altered in many human cancers. Targeted cancer genome sequencing efforts have unveiled the mutational profiles of protein kinase genes from many different cancer types. While mutational data on protein kinases is currently catalogued in various databases, integration of mutation data with other forms of data on protein kinases such as sequence, structure, function and pathway is necessary to identify and characterize key cancer causing mutations. Integrative analysis of protein kinase data, however, is a challenge because of the disparate nature of protein kinase data sources and data formats.

Results

Here, we describe ProKinO, a protein kinase-specific ontology, which provides a controlled vocabulary of terms, their hierarchy, and relationships unifying sequence, structure, function, mutation and pathway information on protein kinases. The conceptual representation of such diverse forms of information in one place not only allows rapid discovery of significant information related to a specific protein kinase, but also enables large-scale integrative analysis of protein kinase data in ways not possible through other kinase-specific resources. We have performed several integrative analyses of ProKinO data and, as an example, found that a large number of somatic mutations (∼288 distinct mutations) associated with the haematopoietic neoplasm cancer type map to only 8 kinases in the human kinome. This is in contrast to glioma, where the mutations are spread over 82 distinct kinases. We also provide examples of how ontology-based data analysis can be used to generate testable hypotheses regarding cancer mutations.

Conclusion

We present an integrated framework for large-scale integrative analysis of protein kinase data. Navigation and analysis of ontology data can be performed using the ontology browser available at: http://vulcan.cs.uga.edu/prokino.     

Combined in silico/in vivo analysis of mechanisms providing for root apical meristem self-organization and maintenance

Background and Aims

The root apical meristem (RAM) is the plant stem cell niche which provides for the formation and continuous development of the root. Auxin is the main regulator of RAM functioning, and auxin maxima coincide with the sites of RAM initiation and maintenance. Auxin gradients are formed due to local auxin biosynthesis and polar auxin transport. The PIN family of auxin transporters plays a critical role in polar auxin transport, and two mechanisms of auxin maximum formation in the RAM based on PIN-mediated auxin transport have been proposed to date: the reverse fountain and the reflected flow mechanisms.

Methods

The two mechanisms are combined here in in silico studies of auxin distribution in intact roots and roots cut into two pieces in the proximal meristem region. In parallel, corresponding experiments were performed in vivo using DR5::GFP Arabidopsis plants.

Key Results

The reverse fountain and the reflected flow mechanism naturally cooperate for RAM patterning and maintenance in intact root. Regeneration of the RAM in decapitated roots is provided by the reflected flow mechanism. In the excised root tips local auxin biosynthesis either alone or in cooperation with the reverse fountain enables RAM maintenance.

Conclusions

The efficiency of a dual-mechanism model in guiding biological experiments on RAM regeneration and maintenance is demonstrated. The model also allows estimation of the concentrations of auxin and PINs in root cells during development and under various treatments. The dual-mechanism model proposed here can be a powerful tool for the study of several different aspects of auxin function in root.     

SPPS: a sequence-based method for predicting probability of protein-protein interaction partners

Background

The molecular network sustained by different types of interactions among proteins is widely manifested as the fundamental driving force of cellular operations. Many biological functions are determined by the crosstalk between proteins rather than by the characteristics of their individual components. Thus, the searches for protein partners in global networks are imperative when attempting to address the principles of biology.

Results

We have developed a web-based tool “Sequence-based Protein Partners Search” (SPPS) to explore interacting partners of proteins, by searching over a large repertoire of proteins across many species. SPPS provides a database containing more than 60,000 protein sequences with annotations and a protein-partner search engine in two modes (Single Query and Multiple Query). Two interacting proteins of human FBXO6 protein have been found using the service in the study. In addition, users can refine potential protein partner hits by using annotations and possible interactive network in the SPPS web server.

Conclusions

SPPS provides a new type of tool to facilitate the identification of direct or indirect protein partners which may guide scientists on the investigation of new signaling pathways. The SPPS server is available to the public at http://mdl.shsmu.edu.cn/SPPS/.