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https://www.readbyqxmd.com/read/28102936/unbiased-and-quantitative-proteomics-reveals-highly-increased-angiogenesis-induction-by-the-secretome-of-mesenchymal-stromal-cells-isolated-from-fetal-rather-than-adult-skin
#1
Massimiliano Gaetani, Cinzia Maria Chinnici, Anna Paola Carreca, Claudia Di Pasquale, Giandomenico Amico, Pier Giulio Conaldi
Scarless wound healing and functional regeneration are typical processes of the fetus, gradually lost during post-natal life, and maximally attributed to fetal skin tissue and induced by fetal skin fibroblasts. The latter have been successfully applied to post-natal wounds, with clear advantages compared with autologous dermis grafts or adult fibroblast applications. Our goal was to functionally identify and uncover key factors and mechanisms through the analysis of secretomes, the principal players in all cell therapies based on mesenchymal stromal cells (MSCs)...
January 19, 2017: Journal of Tissue Engineering and Regenerative Medicine
https://www.readbyqxmd.com/read/28102325/viral-micrornas-target-a-gene-network-inhibit-stat-activation-and-suppress-interferon-responses
#2
Dhivya Ramalingam, Joseph M Ziegelbauer
Kaposi's sarcoma-associated herpesvirus (KSHV) encodes 12 pre-microRNAs during latency that are processed to yield ~25 mature microRNAs (miRNAs). We were interested in identifying cellular networks that were targeted by KSHV-miRNAs and employed network building strategies using validated KSHV miRNA targets. Here, we report the identification of a gene network centering on the transcription factor- signal transducer and activator of transcription 3 (STAT3) that is targeted by KSHV miRNAs. KSHV miRNAs suppressed STAT3 and STAT5 activation and inhibited STAT3-dependent reporter activation upon IL6-treatment...
January 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28101525/untangling-basal-ganglia-network-dynamics-and-function-role-of-dopamine-depletion-and-inhibition-investigated-in-a-spiking-network-model
#3
Mikael Lindahl, Jeanette Hellgren Kotaleski
The basal ganglia are a crucial brain system for behavioral selection, and their function is disturbed in Parkinson's disease (PD), where neurons exhibit inappropriate synchronization and oscillations. We present a spiking neural model of basal ganglia including plausible details on synaptic dynamics, connectivity patterns, neuron behavior, and dopamine effects. Recordings of neuronal activity in the subthalamic nucleus and Type A (TA; arkypallidal) and Type I (TI; prototypical) neurons in globus pallidus externa were used to validate the model...
November 2016: ENeuro
https://www.readbyqxmd.com/read/28100488/kinetic-analyses-of-vasculogenesis-inform-mechanistic-studies
#4
Kaela M Varberg, Seth Winfree, Chenghao Chu, Wanzhu Tu, Emily K Blue, Cassandra R Gohn, Kenneth W Dunn, Laura S Haneline
Vasculogenesis is a complex process by which endothelial stem and progenitor cells undergo de novo vessel formation. Quantitative assessment of vasculogenesis is a central readout of endothelial progenitor cell (EPC) functionality. However, current assays lack kinetic measurements. To address this issue, new approaches were developed to quantitatively assess in vitro endothelial colony forming cell (ECFC) network formation in real time. Eight parameters of network structure were quantified using novel Kinetic Analysis of Vasculogenesis (KAV) software...
January 18, 2017: American Journal of Physiology. Cell Physiology
https://www.readbyqxmd.com/read/28100277/stress-echo-2020-the-international-stress-echo-study-in-ischemic-and-non-ischemic-heart-disease
#5
Eugenio Picano, Quirino Ciampi, Rodolfo Citro, Antonello D'Andrea, Maria Chiara Scali, Lauro Cortigiani, Iacopo Olivotto, Fabio Mori, Maurizio Galderisi, Marco Fabio Costantino, Lorenza Pratali, Giovanni Di Salvo, Eduardo Bossone, Francesco Ferrara, Luna Gargani, Fausto Rigo, Nicola Gaibazzi, Giuseppe Limongelli, Giuseppe Pacileo, Maria Grazia Andreassi, Bruno Pinamonti, Laura Massa, Marco A R Torres, Marcelo H Miglioranza, Clarissa Borguezan Daros, José Luis de Castro E Silva Pretto, Branko Beleslin, Ana Djordjevic-Dikic, Albert Varga, Attila Palinkas, Gergely Agoston, Dario Gregori, Paolo Trambaiolo, Sergio Severino, Ayana Arystan, Marco Paterni, Clara Carpeggiani, Paolo Colonna
BACKGROUND: Stress echocardiography (SE) has an established role in evidence-based guidelines, but recently its breadth and variety of applications have extended well beyond coronary artery disease (CAD). We lack a prospective research study of SE applications, in and beyond CAD, also considering a variety of signs in addition to regional wall motion abnormalities. METHODS: In a prospective, multicenter, international, observational study design, > 100 certified high-volume SE labs (initially from Italy, Brazil, Hungary, and Serbia) will be networked with an organized system of clinical, laboratory and imaging data collection at the time of physical or pharmacological SE, with structured follow-up information...
January 18, 2017: Cardiovascular Ultrasound
https://www.readbyqxmd.com/read/28099651/contribution-of-oswaldo-paulo-forattini-to-public-health-analysis-of-scientific-production
#6
Juliana Gonçalves Reis, Keilla Miki Kobayashi, Helene Mariko Ueno, Cristiane Martins Ribeiro, Telma Abdalla de Oliveira Cardoso
OBJECTIVE: To analyze the main characteristics of the scientific production of Oswaldo Paulo Forattini, researcher and, for 40 years, editor of Revista de Saúde Pública. METHODS: Descriptive study with bibliometric approach conducted in three steps. (1) identification of bibliographic records using the following search strategy: "Oswaldo Paulo Forattini" OR "Forattini OP" OR "Forattini" up information sources Google Scholar, Web of Science, and PubMed, in July 2016, which retrieved 867 records...
December 22, 2016: Revista de Saúde Pública
https://www.readbyqxmd.com/read/28098904/identification-of-biomarkers-of-intrahepatic-cholangiocarcinoma-via-integrated-analysis-of-mrna-and-mirna-microarray-data
#7
Yaqing Chen, Dan Liu, Pengfei Liu, Yajing Chen, Huiling Yu, Quan Zhang
The present study aimed to identify potential therapeutic targets of intrahepatic cholangiocarcinoma (ICC) via integrated analysis of gene (transcript version) and microRNA (miRNA/miR) expression. The miRNA microarray dataset GSE32957 contained miRNA expression data from 16 ICC, 7 mixed type of combined hepatocellular‑cholangiocarcinoma (CHC), 2 hepatic adenoma, 3 focal nodular hyperplasia (FNH) and 5 healthy liver tissue samples, and 2 cholangiocarcinoma cell lines. In addition, the mRNA microarray dataset GSE32879 contained mRNA expression data from 16 ICC, 7 CHC, 2 hepatic adenoma, 5 FNH and 7 healthy liver tissue samples...
January 16, 2017: Molecular Medicine Reports
https://www.readbyqxmd.com/read/28098486/identification-and-characterization-of-genes-on-a-single-subgenome-in-the-hexaploid-wheat-triticum-aestivum-l-genotype-chinese-spring
#8
Jian Ma, Zhi Zheng, Jiri Stiller, Xiu-Jin Lan, Yaxi Liu, Mei Deng, Penghao Wang, Zhien Pu, Guangdeng Chen, Qian-Tao Jiang, Yuming Wei, You-Liang Zheng
Gene loss during the formation of hexaploid bread wheat has been repeatedly reported. However, our knowledge on genome-wide analysis of the genes present on a single subgenome (SSG) in bread wheat is still limited. In this study, by analysing the 'Chinese Spring' chromosome arm shotgun sequences together with high-confidence gene models, we detected 433 genes on a SSG. Greater gene loss was observed in A and D subgenomes compared with B subgenome. More than 79% of the orthologs for these SSG genes were detected in diploid and tetraploid relatives of hexaploid wheat...
November 1, 2016: Genome Génome / Conseil National de Recherches Canada
https://www.readbyqxmd.com/read/28095327/proteomic-and-peptidomic-analysis-of-human-sweat-with-emphasis-on-proteolysis
#9
Yijing Yu, Ioannis Prassas, Carla M J Muytjens, Eleftherios P Diamandis
: Sweat is produced by eccrine and apocrine glands and represents a biological fluid with established roles in thermo-regulation and host infection defense. The composition of sweat is highly dynamic and alters significantly in various skin and other disorders. Therefore, in-depth profiling of sweat protein composition is expected to augment our understanding of the pathobiology of several skin diseases and may lead to the identification of useful sweat-based disease biomarkers. We here reported an in-depth analysis of the human sweat proteome and peptidome...
January 14, 2017: Journal of Proteomics
https://www.readbyqxmd.com/read/28095178/current-trends-in-multidrug-optimization
#10
Andrea Weiss, Patrycja Nowak-Sliwinska
The identification of effective and long-lasting cancer therapies still remains elusive, partially due to patient and tumor heterogeneity, acquired drug resistance, and single-drug dose-limiting toxicities. The use of drug combinations may help to overcome some limitations of current cancer therapies by challenging the robustness and redundancy of biological processes. However, effective drug combination optimization requires the careful consideration of numerous parameters. The complexity of this optimization problem is clearly nontrivial and likely requires the assistance of advanced heuristic optimization techniques...
December 1, 2016: Journal of Laboratory Automation
https://www.readbyqxmd.com/read/28093663/large-prospective-analysis-of-the-reasons-patients-do-not-pursue-brca-genetic-testing-following-genetic-counseling
#11
Sommer Hayden, Sarah Mange, Debra Duquette, Nancie Petrucelli, Victoria M Raymond
Genetic counseling (GC) and genetic testing (GT) identifies high-risk individuals who benefit from enhanced medical management. Not all individuals undergo GT following GC and understanding the reasons why can impact clinical efficiency, reduce GT costs through appropriate identification of high-risk individuals, and demonstrate the value of pre-GT GC. A collaborative project sponsored by the Michigan Department of Health and Human Services prospectively collects anonymous data on BRCA-related GC visits performed by providers in Michigan, including demographics, patient/family cancer history, GT results, and reasons for declining GT...
January 16, 2017: Journal of Genetic Counseling
https://www.readbyqxmd.com/read/28092569/discovery-of-micrornas-and-transcription-factors-co-regulatory-modules-by-integrating-multiple-types-of-genomic-data
#12
Jiawei Luo, Gen Xiang, Chu Pan
It is well known that regulators known as microRNA (miRNA) and transcription factor (TF) have been found to play an important role in gene regulation. However, there are few researches of collaborative regulatory (co-regulatory) mechanism between miRNA and TF on system level (function level). Meanwhile, recent advances in high-throughput genomic technologies have enabled researchers to collect diverse large-scale genomic data, which can be used to study the co-regulatory mechanism between miRNA and TF. In this paper, we propose a novel method called SNCoNMF (Sparse Network regularized non-negative matrix factorization for Co-regulatory modules identification) which adopts multiple non-negative matrix factorization framework to identify co-regulatory modules including miRNAs, TFs and genes...
January 9, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28092553/deep-aesthetic-quality-assessment-with-semantic-information
#13
Yueying Kao, Ran He, Kaiqi Huang
Human beings often assess the aesthetic quality of an image coupled with the identification of the image's semantic content. This paper addresses the correlation issue between automatic aesthetic quality assessment and semantic recognition. We cast the assessment problem as the main task among a multitask deep model, and argue that semantic recognition task offers the key to address this problem. Based on convolutional neural networks, we employ a single and simple multi-task framework to efficiently utilize the supervision of aesthetic and semantic labels...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092186/under-the-influence-of-facebook-excess-use-of-social-networking-sites-and-drinking-motives-consequences-and-attitudes-in-college-students
#14
Julia M Hormes
Background and aims Excessive use of social networking sites (SNS) has recently been conceptualized as a behavioral addiction (i.e., "disordered SNS use") using key criteria for the diagnosis of substance dependence and shown to be associated with a variety of impairments in psychosocial functioning, including an increased risk of problem drinking. This study sought to characterize associations between "disordered SNS use" and attitudes towards alcohol, drinking motives, and adverse consequences resulting from alcohol use in young adults...
March 2016: Journal of Behavioral Addictions
https://www.readbyqxmd.com/read/28091786/a-new-look-at-the-drug-resistance-investigation-of-uropathogenic-e-coli-strains
#15
Wioletta Adamus-Białek, Łukasz Lechowicz, Anna B Kubiak-Szeligowska, Monika Wawszczak, Ewelina Kamińska, Magdalena Chrapek
Bacterial drug resistance and uropathogenic tract infections are among the most important issues of current medicine. Uropathogenic Escherichia coli strains are the primary factor of this issue. This article is the continuation of the previous study, where we used Kohonen relations to predict the direction of drug resistance. The characterized collection of uropathogenic E. coli strains was used for microbiological (the disc diffusion method for antimicrobial susceptibility testing), chemical (ATR/FT-IR) and mathematical (artificial neural networks, Ward's hierarchical clustering method, the analysis of distributions of inhibition zone diameters for antibiotics, Cohen's kappa measure of agreement) analysis...
January 13, 2017: Molecular Biology Reports
https://www.readbyqxmd.com/read/28090435/-13-c-metabolomics-nmr-and-iroa-for-unknown-identification
#16
Chaevien S Clendinen, Gregory S Stupp, Bing Wang, Timothy J Garrett, Arthur S Edison
ABSTRACT BACKGROUND: Isotopic Ratio Outlier Analysis (IROA) is an untargeted metabolomics method that uses stable isotopic labeling and LC-HRMS for identification and relative quantification of metabolites in a biological sample under varying experimental conditions. OBJECTIVE: We demonstrate a method using high-sensitivity (13)C NMR to identify an unknown metabolite isolated from fractionated material from an IROA LC-HRMS experiment. METHODS: IROA samples from the nematode Caenorhabditis elegans were fractionated using LC-HRMS using 5 repeated injections and collecting 30 sec fractions...
August 2016: Current Metabolomics
https://www.readbyqxmd.com/read/28089677/global-signal-regression-acts-as-a-temporal-downweighting-process-in-resting-state-fmri
#17
Alican Nalci, Bhaskar D Rao, Thomas T Liu
In resting-state functional MRI (rsfMRI), the correlation between blood oxygenation level dependent (BOLD) signals across different brain regions is used to estimate the functional connectivity of the brain. This approach has led to the identification of a number of resting-state networks, including the default mode network (DMN) and the task positive network (TPN). Global signal regression (GSR) is a widely used pre-processing step in rsfMRI that has been shown to improve the spatial specificity of the estimated resting-state networks...
January 9, 2017: NeuroImage
https://www.readbyqxmd.com/read/28089404/the-schhs-hip-fracture-clinical-network-experience-improving-care-and-outcomes-through-an-interprofessional-approach
#18
Gillian Puckeridge, Morné Terblanche, Debbie Massey
BACKGROUND: Hip fractures are a major global health care issue, with the 1.26 million estimated cases in 1990 predicted to increase to 4.5 million by 2050. Varying models of care have been developed to improve outcomes following fragility hip fractures. Most of these care models embrace an interprofessional approach to care. Specialist orthopedic nurses play an important role in the management of fragility hip fracture patients and their contribution to the interprofessional health care team is an important predictor of patient outcomes...
December 18, 2016: International Journal of Orthopaedic and Trauma Nursing
https://www.readbyqxmd.com/read/28088176/ttca-an-r-package-for-the-identification-of-differentially-expressed-genes-in-time-course-microarray-data
#19
Marco Albrecht, Damian Stichel, Benedikt Müller, Ruth Merkle, Carsten Sticht, Norbert Gretz, Ursula Klingmüller, Kai Breuhahn, Franziska Matthäus
BACKGROUND: The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for detecting significant expression dynamics often fail when the expression dynamics show a large heterogeneity. Moreover, these methods often cannot cope with irregular and sparse measurements...
January 14, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28087837/off-target-effects-of-neuroleptics-and-antidepressants-on-saccharomyces-cerevisiae
#20
M Caldara, S Graziano, M Gullì, S Cadonici, Nelson Marmiroli
Over the past years, the use of antidepressants and neuroleptics has steadily increased. Although incredibly useful to treat disorders like depression, schizophrenia, epilepsy, or mental retardation, these drugs display many side effects. Toxicogenomic studies aim to limit this problem by trying to identify cellular targets and off-targets of medical compounds. The baker yeast Saccharomyces cerevisiae has been shown to be a key player in this approach, as it represents an incredible toolbox for the dissection of complex biological processes...
January 13, 2017: Toxicological Sciences: An Official Journal of the Society of Toxicology
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