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https://www.readbyqxmd.com/read/28542205/rots-an-r-package-for-reproducibility-optimized-statistical-testing
#1
Tomi Suomi, Fatemeh Seyednasrollah, Maria K Jaakkola, Thomas Faux, Laura L Elo
Differential expression analysis is one of the most common types of analyses performed on various biological data (e.g. RNA-seq or mass spectrometry proteomics). It is the process that detects features, such as genes or proteins, showing statistically significant differences between the sample groups under comparison. A major challenge in the analysis is the choice of an appropriate test statistic, as different statistics have been shown to perform well in different datasets. To this end, the reproducibility-optimized test statistic (ROTS) adjusts a modified t-statistic according to the inherent properties of the data and provides a ranking of the features based on their statistical evidence for differential expression between two groups...
May 25, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28541380/a-fully-bayesian-latent-variable-model-for-integrative-clustering-analysis-of-multi-type-omics-data
#2
Qianxing Mo, Ronglai Shen, Cui Guo, Marina Vannucci, Keith S Chan, Susan G Hilsenbeck
Identification of clinically relevant tumor subtypes and omics signatures is an important task in cancer translational research for precision medicine. Large-scale genomic profiling studies such as The Cancer Genome Atlas (TCGA) Research Network have generated vast amounts of genomic, transcriptomic, epigenomic, and proteomic data. While these studies have provided great resources for researchers to discover clinically relevant tumor subtypes and driver molecular alterations, there are few computationally efficient methods and tools for integrative clustering analysis of these multi-type omics data...
May 24, 2017: Biostatistics
https://www.readbyqxmd.com/read/28536942/lrrc25-plays-a-key-role-in-all-trans-retinoic-acid-induced-granulocytic-differentiation-as-a-novel-potential-leukocyte-differentiation-antigen
#3
Weili Liu, Ting Li, Pingzhang Wang, Wanchang Liu, Fujun Liu, Xiaoning Mo, Zhengyang Liu, Quansheng Song, Ping Lv, Guorui Ruan, Wenling Han
Leukocyte differentiation antigens (LDAs) play important roles in the immune system, by serving as surface markers and participating in multiple biological activities, such as recognizing pathogens, mediating membrane signals, interacting with other cells or systems, and regulating cell differentiation and activation. Data mining is a powerful tool used to identify novel LDAs from whole genome. LRRC25 (leucine rich repeat-containing 25) was predicted to have a role in the function of myeloid cells by a large-scale "omics" data analysis...
May 23, 2017: Protein & Cell
https://www.readbyqxmd.com/read/28533479/the-landscape-of-dna-methylation-mediated-regulation-of-long-non-coding-rnas-in-breast-cancer
#4
Chunlong Zhang, Xinyu Wang, Xuecang Li, Ning Zhao, Yihan Wang, Xiaole Han, Ce Ci, Jian Zhang, Meng Li, Yan Zhang
Although systematic studies have identified a host of long non-coding RNAs (lncRNAs) which are involved in breast cancer, the knowledge about the methyla-tion-mediated dysregulation of those lncRNAs remains limited. Here, we integrated multi-omics data to analyze the methylated alteration of lncRNAs in breast invasive carcinoma (BRCA). We found that lncRNAs showed diverse methylation patterns on promoter regions in BRCA. LncRNAs were divided into two categories and four subcategories based on their promoter methylation patterns and expression levels be-tween tumor and normal samples...
May 8, 2017: Oncotarget
https://www.readbyqxmd.com/read/28530140/associations-of-nasopharyngeal-metabolome-and-microbiome-with-severity-among-infants-with-bronchiolitis-a-multi-omic-analysis
#5
Christopher J Stewart, Jonathan M Mansbach, Matthew C Wong, Nadim J Ajami, Joseph F Petrosino, Carlos A Camargo, Kohei Hasegawa
RATIONALE: Bronchiolitis is the most common lower respiratory infection in infants; however, it remains unclear which infants with bronchiolitis will develop severe illness. In addition, while emerging evidence indicates associations of the upper-airway microbiome with bronchiolitis severity, little is known about the mechanisms linking airway microbes and host response to disease severity. OBJECTIVES: To determine the relations among the nasopharyngeal airway metabolome profiles, microbiome profiles, and severity in infants with bronchiolitis...
May 21, 2017: American Journal of Respiratory and Critical Care Medicine
https://www.readbyqxmd.com/read/28529704/towards-a-systems-approach-for-chronic-diseases-based-on-health-state-modeling
#6
Michael Rebhan
Rising pressure from chronic diseases means that we need to learn how to deal with challenges at a different level, including the use of systems approaches that better connect across fragments, such as disciplines, stakeholders, institutions, and technologies. By learning from progress in leading areas of health innovation (including oncology and AIDS), as well as complementary indications (Alzheimer's disease), I try to extract the most enabling innovation paradigms, and discuss their extension to additional areas of application within a systems approach...
2017: F1000Research
https://www.readbyqxmd.com/read/28528178/expanding-biological-activities-of-ts19-frag-ii-toxin-insights-into-il-17-production
#7
Felipe Augusto Cerni, Manuela Berto Pucca, Karina Furlani Zoccal, Fabiani Gai Frantz, Lucia Helena Faccioli, Eliane Candiani Arantes
Tityus serrulatus (Ts) venom is composed of a mixture of toxins presenting diverse biological functions. However, although this venom has been studied over the past three decades, omics analysis revealed that most of its toxins are not identified or their biological activities are unknown. Ts19 Frag-II is included is this group, which function is still uncertain. This study aimed to expand the biological activities of Ts19 Frag-II through in vivo investigation. Our results demonstrates that mice challenged with Ts19 Frag-II presented biochemical alterations, increasing serum levels of urea, ALT and β-globulin, besides decreasing γ-globulins...
May 17, 2017: Toxicon: Official Journal of the International Society on Toxinology
https://www.readbyqxmd.com/read/28522454/multiomic-disease-signatures-converge-to-cytotoxic-cd8-t-cells-in-primary-sj%C3%A3-gren-s-syndrome
#8
Shinya Tasaki, Katsuya Suzuki, Ayumi Nishikawa, Yoshiaki Kassai, Maiko Takiguchi, Rina Kurisu, Yuumi Okuzono, Takahiro Miyazaki, Masaru Takeshita, Keiko Yoshimoto, Hidekata Yasuoka, Kunihiro Yamaoka, Kazuhiro Ikeura, Kazuyuki Tsunoda, Rimpei Morita, Akihiko Yoshimura, Hiroyoshi Toyoshiba, Tsutomu Takeuchi
OBJECTIVES: Multiomics study was conducted to elucidate the crucial molecular mechanisms of primary Sjögren's syndrome (SS) pathology. METHODS: We generated multiple data set from well-defined patients with SS, which includes whole-blood transcriptomes, serum proteomes and peripheral immunophenotyping. Based on our newly generated data, we performed an extensive bioinformatic investigation. RESULTS: Our integrative analysis identified SS gene signatures (SGS) dysregulated in widespread omics layers, including epigenomes, mRNAs and proteins...
May 18, 2017: Annals of the Rheumatic Diseases
https://www.readbyqxmd.com/read/28521733/nfpscanner-a-webtool-for-knowledge-based-deciphering-of-biomedical-networks
#9
Wenjian Xu, Yang Cao, Ziwei Xie, Haochen He, Song He, Hao Hong, Xiaochen Bo, Fei Li
BACKGROUND: Many biological pathways have been created to represent different types of knowledge, such as genetic interactions, metabolic reactions, and gene-regulating and physical-binding relationships. Biologists are using a wide range of omics data to elaborately construct various context-specific differential molecular networks. However, they cannot easily gain insight into unfamiliar gene networks with the tools that are currently available for pathways resource and network analysis...
May 18, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28521615/comprehensive-evaluation-of-usnic-acid-induced-cardiotoxicity-in-rats-by-sequential-cross-omics-analysis
#10
Y Yokouchi, M Imaoka, N Niino, N Kiyosawa, K Kai
Two-week administration of (+)-usnic acid (UA) induces mitochondrial swelling of cardiomyocytes, and toxicogenomic analysis of the heart revealed upregulation of oxidative stress, amino acid limitation, and endoplasmic reticulum stress-related genes in rats. To analyze the pathogenesis, UA was orally administrated to rats for 1, 4, 7, and 14 days, and sequential histopathological, genomic, and metabolomic analyses were performed on the heart, liver, and plasma. As a result, mitochondrial swelling of cardiomyocytes was observed on day 15 preceded by genomic upregulation on days 5 and 8...
January 1, 2017: Toxicologic Pathology
https://www.readbyqxmd.com/read/28520848/pattern-fusion-analysis-by-adaptive-alignment-of-multiple-heterogeneous-omics-data
#11
Qianqian Shi, Chuanchao Zhang, Minrui Peng, Xiangtian Yu, Tao Zeng, Juan Liu, Luonan Chen
Motivation: Integrating different omics profiles is a challenging task, which provides a comprehensive way to understand complex diseases in a multi-view manner. One key for such an integration is to extract intrinsic patterns in concordance with data structures, so as to discover consistent information across various data types even with noise pollution. Thus, we proposed a novel framework called "pattern fusion analysis" (PFA), which performs automated information alignment and bias correction, to fuse local sample-patterns (e...
May 18, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28516971/salivary-biomarkers-and-proteomics-future-diagnostic-and-clinical-utilities
#12
M Castagnola, E Scarano, G C Passali, I Messana, T Cabras, F Iavarone, G Di Cintio, A Fiorita, E De Corso, G Paludetti
Saliva testing is a non-invasive and inexpensive test that can serve as a source of information useful for diagnosis of disease. As we enter the era of genomic technologies and -omic research, collection of saliva has increased. Recent proteomic platforms have analysed the human salivary proteome and characterised about 3000 differentially expressed proteins and peptides: in saliva, more than 90% of proteins in weight are derived from the secretion of three couples of "major" glands; all the other components are derived from minor glands, gingival crevicular fluid, mucosal exudates and oral microflora...
April 2017: Acta Otorhinolaryngologica Italica
https://www.readbyqxmd.com/read/28509555/differential-phosphoproteomic-analysis-of-recombinant-chinese-hamster-ovary-cells-following-temperature-shift
#13
Michael Henry, Martin Power, Prashant Kaushik, Orla Coleman, Martin Clynes, Paula Meleady
Phosphorylation is one of the most important post-translational modifications, playing a crucial role in regulating many cellular processes including transcription, cytoskeletal rearrangement, cell proliferation, differentiation, apoptosis and signal transduction. However, to date little work has been carried out on the phosphoproteome in CHO cells. In this study we have carried out a large scale differential phosphoproteomic analysis of recombinant CHO cells following a reduction of culture temperature (temperature shift)...
May 16, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28509357/characterization-of-microbial-mixtures-by-mass-spectrometry
#14
REVIEW
Todd R Sandrin, Plamen A Demirev
MS applications in microbiology have increased significantly in the past 10 years, due in part to the proliferation of regulator-approved commercial MALDI MS platforms for rapid identification of clinical infections. In parallel, with the expansion of MS technologies in the "omics" fields, novel MS-based research efforts to characterize organismal as well as environmental microbiomes have emerged. Successful characterization of microorganisms found in complex mixtures of other organisms remains a major challenge for researchers and clinicians alike...
May 16, 2017: Mass Spectrometry Reviews
https://www.readbyqxmd.com/read/28508373/an-advanced-omic-approach-to-identify-co-regulated-clusters-and-transcription-regulation-network-with-agct-and-shoe-methods
#15
Natalia Polouliakh, Richard Nock
To obtain the global picture of genetic machinery for massive high-throughput gene expression data, novel data-driven unsupervised learning approaches are becoming essentially important. For this purpose, basic analytic workflow has been established and should include two steps: first, unsupervised clustering to identify genes with similar behavior upon exposure to a signal, and second, identification of transcription factors regulating those genes. In this chapter, we will describe an advanced tool that can be used for analyzing and characterizing large-scale time-series gene expression composed of a two-step approach...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28508360/genome-to-phenome-a-systems-biology-approach-to-ptsd-using-an-animal-model
#16
Nabarun Chakraborty, James Meyerhoff, Marti Jett, Rasha Hammamieh
Post-traumatic stress disorder (PTSD) is a debilitating illness that imposes significant emotional and financial burdens on military families. The understanding of PTSD etiology remains elusive; nonetheless, it is clear that PTSD is manifested by a cluster of symptoms including hyperarousal, reexperiencing of traumatic events, and avoidance of trauma reminders. With these characteristics in mind, several rodent models have been developed eliciting PTSD-like features. Animal models with social dimensions are of particular interest, since the social context plays a major role in the development and manifestation of PTSD...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28505408/ion-mobility-hydrogen-deuterium-exchange-and-isotope-scrambling-tools-to-aid-compound-identification-in-omics-mixtures
#17
Hossein Maleki, Megan M Maurer, Nima Ronaghi, Stephen J Valentine
Liquid chromatography tandem mass spectrometry (LC-MS/MS), a widely used method for comparative 'omics analysis, experiences challenges with compound identification due to matrix effects, difficulty in separating isomer and isobaric ions, and long analysis times. Ion mobility spectrometry (IMS) has proven to be useful in separating isomer and isobar ions, however IMS-MS suffers from decreased peak capacity duet to the correlation in ion size and mass. In proof-of-principle experiments, the use of gas-phase hydrogen/deuterium exchange (HDX) combined with IMS-MS/MS techniques is demonstrated to offer advantages for compound identification...
May 15, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28500387/thermal-adaptation-strategies-of-the-extremophile-bacterium-thermus-filiformis-based-on-multi-omics-analysis
#18
F Mandelli, M B Couger, D A A Paixão, C B Machado, C M Carnielli, J A Aricetti, I Polikarpov, R Prade, C Caldana, A F Paes Leme, A Z Mercadante, D M Riaño-Pachón, Fabio Marcio Squina
Thermus filiformis is an aerobic thermophilic bacterium isolated from a hot spring in New Zealand. The experimental study of the mechanisms of thermal adaptation is important to unveil response strategies of the microorganism to stress. In this study, the main pathways involved on T. filiformis thermoadaptation, as well as, thermozymes with potential biotechnological applications were revealed based on omics approaches. The strategy adopted in this study disclosed that pathways related to the carbohydrate metabolism were affected in response to thermoadaptation...
May 12, 2017: Extremophiles: Life Under Extreme Conditions
https://www.readbyqxmd.com/read/28500050/a-systemic-analysis-of-transcriptomic-and-epigenomic-data-to-reveal-regulation-patterns-for-complex-disease
#19
Chao Xu, Ji-Gang Zhang, Dongdong Lin, Lan Zhang, Hui Shen, Hong-Wen Deng
Integrating diverse genomics data can provide a global view of the complex biological processes related to the human complex diseases. Although substantial efforts have been made to integrate different omics data, there are at least three challenges for multi-omics integration methods: (i) How to simultaneously consider the effects of various genomic factors, since these factors jointly influence the phenotypes; (ii) How to effectively incorporate the information from publicly accessible databases and omics datasets to fully capture the interactions among (epi-)genomic factors from diverse omics data; and (iii) Until present, the combination of >2 omics datasets has been poorly explored...
May 12, 2017: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/28499913/integration-of-gel-based-and-gel-free-proteomic-data-for-functional-analysis-of-proteins-through-soybean-proteome-database
#20
Setsuko Komatsu, Xin Wang, Xiaojian Yin, Yohei Nanjo, Hajime Ohyanagi, Katsumi Sakata
The Soybean Proteome Database (SPD) stores data on soybean proteins obtained with gel-based and gel-free proteomic techniques. The database was constructed to provide information on proteins for functional analyses. The majority of the data is focused on soybean (Glycine max 'Enrei'). The growth and yield of soybean are strongly affected by environmental stresses such as flooding. The database was originally constructed using data on soybean proteins separated by two-dimensional polyacrylamide gel electrophoresis, which is a gel-based proteomic technique...
May 9, 2017: Journal of Proteomics
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