Elucidating the Role of Hepatic Ppp1r3b in Glucose and Lipid Metabolism
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Downloaded on November Tured Output Support Vector Machine (SVM) Approach 6, 2013
Funk et al. Journal of Biomedical Semantics (2015) 6:9 DOI 10.1186/s13326-015-0006-4 JOURNAL OF BIOMEDICAL SEMANTICS RESEARCH Open Access Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct Christopher S Funk1*, Indika Kahanda2, Asa Ben-Hur2 and Karin M Verspoor3,4 Abstract Most computational methods that predict protein function do not take advantage of the large amount of information contained in the biomedical literature. In this work we evaluate both ontology term co-mention and bag-of-words features mined from the biomedical literature and analyze their impact in the context of a structured output support vector machine model, GOstruct. We find that even simple literature based features are useful for predicting human protein function (F-max: Molecular Function = 0.408, Biological Process = 0.461, Cellular Component = 0.608). One advantage of using literature features is their ability to offer easy verification of automated predictions. We find through manual inspection of misclassifications that some false positive predictions could be biologically valid predictions based upon support extracted from the literature. Additionally, we present a “medium-throughput” pipeline that was used to annotate a large subset of co-mentions; we suggest that this strategy could help to speed up the rate at which proteins are curated. Keywords: Text mining, Protein function prediction, Biomedical concept recognition Introduction Background Characterizing the functions of proteins is an important Literature mining has been shown to have substantial task in bioinformatics today. In recent years, many com- promise in the context of automated function prediction, putational methods to predict protein function have been although there has been limited exploration to date [2]. -
PYGL Rabbit Polyclonal Antibody
PYGL Rabbit Polyclonal Antibody CAB6710 Product Information Protein Background Size: This gene encodes a homodimeric protein that catalyses the cleavage of alpha-1, 4-glucosidic bonds to release glucose-1-phosphate from liver glycogen stores. This protein switches from 20uL, 50uL, 100uL, 200uL inactive phosphorylase B to active phosphorylase A by phosphorylation of serine residue 15. Activity of this enzyme is further regulated by multiple allosteric effectors and hormonal Observed MW: controls. Humans have three glycogen phosphorylase genes that encode distinct isozymes that 110kDa are primarily expressed in liver, brain and muscle, respectively. The liver isozyme serves the glycemic demands of the body in general while the brain and muscle isozymes supply just Calculated MW: those tissues. In glycogen storage disease type VI, also known as Hers disease, mutations in liver glycogen phosphorylase inhibit the conversion of glycogen to glucose and results in 93kDa/97kDa moderate hypoglycemia, mild ketosis, growth retardation and hepatomegaly. Alternative splicing results in multiple transcript variants encoding different isoforms. Applications: WB IF IP Immunogen information Reactivity: Gene ID: 5836 Human, Mouse, Rat Uniprot P06737 Antibody Information Recommended dilutions: Synonyms: WB 1:500 - 1:2000 IF 1:50 - PYGL; GSD6 1:200 IP 1:50 - 1:200 Source: Rabbit Immunogen: Recombinant fusion protein containing a sequence corresponding Isotype: to amino acids 1-280 of human PYGL (NP_002854.3). IgG Storage: Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide, 50% glycerol, pH7.3. Purification: Affinity purification Copyright © 2021 Assay Genie [email protected] www.assaygenie.com Product Images Western blot analysis of extracts of various cell lines, using PYGL antibody (CAB6710) at 1:1000 dilution. -
Analysis of the Indacaterol-Regulated Transcriptome in Human Airway
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/04/13/jpet.118.249292.DC1 1521-0103/366/1/220–236$35.00 https://doi.org/10.1124/jpet.118.249292 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 366:220–236, July 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Analysis of the Indacaterol-Regulated Transcriptome in Human Airway Epithelial Cells Implicates Gene Expression Changes in the s Adverse and Therapeutic Effects of b2-Adrenoceptor Agonists Dong Yan, Omar Hamed, Taruna Joshi,1 Mahmoud M. Mostafa, Kyla C. Jamieson, Radhika Joshi, Robert Newton, and Mark A. Giembycz Departments of Physiology and Pharmacology (D.Y., O.H., T.J., K.C.J., R.J., M.A.G.) and Cell Biology and Anatomy (M.M.M., R.N.), Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Received March 22, 2018; accepted April 11, 2018 Downloaded from ABSTRACT The contribution of gene expression changes to the adverse and activity, and positive regulation of neutrophil chemotaxis. The therapeutic effects of b2-adrenoceptor agonists in asthma was general enriched GO term extracellular space was also associ- investigated using human airway epithelial cells as a therapeu- ated with indacaterol-induced genes, and many of those, in- tically relevant target. Operational model-fitting established that cluding CRISPLD2, DMBT1, GAS1, and SOCS3, have putative jpet.aspetjournals.org the long-acting b2-adrenoceptor agonists (LABA) indacaterol, anti-inflammatory, antibacterial, and/or antiviral activity. Numer- salmeterol, formoterol, and picumeterol were full agonists on ous indacaterol-regulated genes were also induced or repressed BEAS-2B cells transfected with a cAMP-response element in BEAS-2B cells and human primary bronchial epithelial cells by reporter but differed in efficacy (indacaterol $ formoterol . -
Molecular Diagnosis of Glycogen Storage Disease and Disorders with Overlapping Clinical Symptoms by Massive Parallel Sequencing
© American College of Medical Genetics and Genomics ORIGINAL RESEARCH ARTICLE Molecular diagnosis of glycogen storage disease and disorders with overlapping clinical symptoms by massive parallel sequencing Ana I Vega, PhD1,2,3, Celia Medrano, BSc1,2,3, Rosa Navarrete, BSc1,2,3, Lourdes R Desviat, PhD1,2,3, Begoña Merinero, PhD1,2,3, Pilar Rodríguez-Pombo, PhD1,2,3, Isidro Vitoria, MD, PhD4, Magdalena Ugarte, PhD1,2,3, Celia Pérez-Cerdá, PhD1,2,3 and Belen Pérez, PhD1,2,3 Purpose: Glycogen storage disease (GSD) is an umbrella term for a Results: Pathogenic mutations were detected in 23 patients. group of genetic disorders that involve the abnormal metabolism of Twenty-two mutations were recognized (mostly loss-of-function glycogen; to date, 23 types of GSD have been identified. The nonspe- mutations), including 11 that were novel in GSD-associated genes. In cific clinical presentation of GSD and the lack of specific biomarkers addition, CES detected five patients with mutations in ALDOB, LIPA, mean that Sanger sequencing is now widely relied on for making a NKX2-5, CPT2, or ANO5. Although these genes are not involved in diagnosis. However, this gene-by-gene sequencing technique is both GSD, they are associated with overlapping phenotypic characteristics laborious and costly, which is a consequence of the number of genes such as hepatic, muscular, and cardiac dysfunction. to be sequenced and the large size of some genes. Conclusions: These results show that next-generation sequenc- ing, in combination with the detection of biochemical and clinical Methods: This work reports the use of massive parallel sequencing hallmarks, provides an accurate, high-throughput means of making to diagnose patients at our laboratory in Spain using either a cus- genetic diagnoses of GSD and related diseases. -
Omics Knowledgebase for Mammalian Cellular Signaling Pathways
bioRxiv preprint doi: https://doi.org/10.1101/401729; this version posted August 27, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The Signaling Pathways Project: an integrated ‘omics knowledgebase for mammalian cellular signaling pathways Scott Ochsner, David Abraham*, Kirt Martin*, Wei Ding, Apollo McOwiti, Zichen Wang, Kaitlyn Andreano, Ross A. Hamilton, Yue Chen, Angelica Hamilton, Marin L. Gantner, Michael Dehart, Shijing Qu, Susan G. Hilsenbeck, Lauren B. Becnel, Dave Bridges, Avi Ma’ayan, Janice M. Huss, Fabio Stossi, Charles E. Foulds, Anastasia Kralli, Donald P. McDonnell and Neil J. McKenna Address Correspondence To: Neil J. McKenna Department of Molecular and Cellular Biology Baylor College of Medicine Houston, TX 77030 USA e: [email protected] t: 713-798-8568 *These authors contributed equally to this study 1 bioRxiv preprint doi: https://doi.org/10.1101/401729; this version posted August 27, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Summary Public transcriptomic and ChIP-Seq datasets have the potential to illuminate facets of transcriptional regulation by mammalian cellular signaling pathways not yet explored in the research literature. Unfortunately, a variety of obstacles prevent routine re-use of these datasets by bench biologists for hypothesis generation and data validation. Here, we designed a web knowledgebase, the Signaling Pathways Project (SPP), which incorporates stable community classifications of three major categories of cellular signaling pathway node (receptors, enzymes and transcription factors) and the bioactive small molecules (BSMs) known to modulate their functions. -
Omics Knowledgebase for Mammalian Cellular Signaling Pathways Scott A
www.nature.com/scientificdata OPEN The Signaling Pathways Project, an ARTICLE integrated ‘omics knowledgebase for mammalian cellular signaling pathways Scott A. Ochsner1, David Abraham1,8, Kirt Martin1,8, Wei Ding2, Apollo McOwiti2, Wasula Kankanamge2, Zichen Wang 3, Kaitlyn Andreano4, Ross A. Hamilton1, Yue Chen1, Angelica Hamilton5, Marin L. Gantner6, Michael Dehart2, Shijing Qu2, Susan G. Hilsenbeck2, Lauren B. Becnel2, Dave Bridges7, Avi Ma’ayan 3, Janice M. Huss5, Fabio Stossi1, Charles E. Foulds1, Anastasia Kralli6, Donald P. McDonnell4 & Neil J. McKenna 1* Mining of integrated public transcriptomic and ChIP-Seq (cistromic) datasets can illuminate functions of mammalian cellular signaling pathways not yet explored in the research literature. Here, we designed a web knowledgebase, the Signaling Pathways Project (SPP), which incorporates community classifcations of signaling pathway nodes (receptors, enzymes, transcription factors and co-nodes) and their cognate bioactive small molecules. We then mapped over 10,000 public transcriptomic or cistromic experiments to their pathway node or biosample of study. To enable prediction of pathway node-gene target transcriptional regulatory relationships through SPP, we generated consensus ‘omics signatures, or consensomes, which ranked genes based on measures of their signifcant diferential expression or promoter occupancy across transcriptomic or cistromic experiments mapped to a specifc node family. Consensomes were validated using alignment with canonical literature knowledge, gene target-level integration of transcriptomic and cistromic data points, and in bench experiments confrming previously uncharacterized node-gene target regulatory relationships. To expose the SPP knowledgebase to researchers, a web browser interface was designed that accommodates numerous routine data mining strategies. SPP is freely accessible at https://www.signalingpathways.org. -
Six Glycolysis-Related Genes As Prognostic Risk Markers Can Predict the Prognosis of Patients with Head and Neck Squamous Cell Carcinoma
Hindawi BioMed Research International Volume 2021, Article ID 8824195, 13 pages https://doi.org/10.1155/2021/8824195 Research Article Six Glycolysis-Related Genes as Prognostic Risk Markers Can Predict the Prognosis of Patients with Head and Neck Squamous Cell Carcinoma LangXiong Chen ,1,2 XiaoSong He,1,2 ShiJiang Yi,1,2 GuanCheng Liu,1,2 Yi Liu,1,2 and YueFu Ling 1,2 1Otolaryngology & Head and Neck Surgery, The Affiliated Hospital of Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China 2The Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China Correspondence should be addressed to YueFu Ling; [email protected] Received 19 September 2020; Revised 10 January 2021; Accepted 15 January 2021; Published 10 February 2021 Academic Editor: R. K. Tripathy Copyright © 2021 LangXiong Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Objective. Head and neck squamous cell carcinoma (HNSCC) is one of the worst-prognosis malignant tumors. This study used bioinformatic analysis of the transcriptome sequencing data of HNSCC and the patients’ survival and clinical data to construct a prediction signature of glycolysis-related genes as the prognostic risk markers. Methods. Gene expression profile data about HNSCC tissues (n = 498) and normal tissues in the head and neck (n =44) were got from The Cancer Genome Atlas (TCGA), as well as patients’ survival and clinical data. Then, we obtained core genes; their expression in head and neck squamous cell carcinoma tissues is significantly different from that in normal head and neck tissues. -
Identification of Common Gene Networks Responsive To
Cancer Gene Therapy (2014) 21, 542–548 © 2014 Nature America, Inc. All rights reserved 0929-1903/14 www.nature.com/cgt ORIGINAL ARTICLE Identification of common gene networks responsive to radiotherapy in human cancer cells D-L Hou1, L Chen2, B Liu1, L-N Song1 and T Fang1 Identification of the genes that are differentially expressed between radiosensitive and radioresistant cancers by global gene analysis may help to elucidate the mechanisms underlying tumor radioresistance and improve the efficacy of radiotherapy. An integrated analysis was conducted using publicly available GEO datasets to detect differentially expressed genes (DEGs) between cancer cells exhibiting radioresistance and cancer cells exhibiting radiosensitivity. Gene Ontology (GO) enrichment analyses, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and protein–protein interaction (PPI) networks analysis were also performed. Five GEO datasets including 16 samples of radiosensitive cancers and radioresistant cancers were obtained. A total of 688 DEGs across these studies were identified, of which 374 were upregulated and 314 were downregulated in radioresistant cancer cell. The most significantly enriched GO terms were regulation of transcription, DNA-dependent (GO: 0006355, P = 7.00E-09) for biological processes, while those for molecular functions was protein binding (GO: 0005515, P = 1.01E-28), and those for cellular component was cytoplasm (GO: 0005737, P = 2.81E-26). The most significantly enriched pathway in our KEGG analysis was Pathways in cancer (P = 4.20E-07). PPI network analysis showed that IFIH1 (Degree = 33) was selected as the most significant hub protein. This integrated analysis may help to predict responses to radiotherapy and may also provide insights into the development of individualized therapies and novel therapeutic targets. -
Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones). -
Muscle Glycogen Phosphorylase and Its Functional Partners in Health and Disease
cells Review Muscle Glycogen Phosphorylase and Its Functional Partners in Health and Disease Marta Migocka-Patrzałek * and Magdalena Elias Department of Animal Developmental Biology, Faculty of Biological Sciences, University of Wroclaw, 50-335 Wroclaw, Poland; [email protected] * Correspondence: [email protected] Abstract: Glycogen phosphorylase (PG) is a key enzyme taking part in the first step of glycogenolysis. Muscle glycogen phosphorylase (PYGM) differs from other PG isoforms in expression pattern and biochemical properties. The main role of PYGM is providing sufficient energy for muscle contraction. However, it is expressed in tissues other than muscle, such as the brain, lymphoid tissues, and blood. PYGM is important not only in glycogen metabolism, but also in such diverse processes as the insulin and glucagon signaling pathway, insulin resistance, necroptosis, immune response, and phototransduction. PYGM is implicated in several pathological states, such as muscle glycogen phosphorylase deficiency (McArdle disease), schizophrenia, and cancer. Here we attempt to analyze the available data regarding the protein partners of PYGM to shed light on its possible interactions and functions. We also underline the potential for zebrafish to become a convenient and applicable model to study PYGM functions, especially because of its unique features that can complement data obtained from other approaches. Keywords: PYGM; muscle glycogen phosphorylase; functional protein partners; glycogenolysis; McArdle disease; cancer; schizophrenia Citation: Migocka-Patrzałek, M.; Elias, M. Muscle Glycogen Phosphorylase and Its Functional Partners in Health and Disease. Cells 1. Introduction 2021, 10, 883. https://doi.org/ The main energy substrate in animal tissues is glucose, which is stored in the liver and 10.3390/cells10040883 muscles in the form of glycogen, a polymer consisting of glucose molecules. -
Skeletal Muscle in Aged Mice Reveals Extensive Transformation of Muscle
Lin et al. BMC Genetics (2018) 19:55 https://doi.org/10.1186/s12863-018-0660-5 RESEARCHARTICLE Open Access Skeletal muscle in aged mice reveals extensive transformation of muscle gene expression I-Hsuan Lin1†, Junn-Liang Chang3†, Kate Hua1, Wan-Chen Huang4, Ming-Ta Hsu2 and Yi-Fan Chen4* Abstract Background: Aging leads to decreased skeletal muscle function in mammals and is associated with a progressive loss of muscle mass, quality and strength. Age-related muscle loss (sarcopenia) is an important health problem associated with the aged population. Results: We investigated the alteration of genome-wide transcription in mouse skeletal muscle tissue (rectus femoris muscle) during aging using a high-throughput sequencing technique. Analysis revealed significant transcriptional changes between skeletal muscles of mice at 3 (young group) and 24 (old group) months of age. Specifically, genes associated with energy metabolism, cell proliferation, muscle myosin isoforms, as well as immune functions were found to be altered. We observed several interesting gene expression changes in the elderly, many of which have not been reported before. Conclusions: Those data expand our understanding of the various compensatory mechanisms that can occur with age, and further will assist in the development of methods to prevent and attenuate adverse outcomes of aging. Keywords: Aging, Skeletal muscle, Cardiac-related genes, RNA sequencing analysis, Muscle fibers, Defects on differentiation Background SIRT1 reduces the oxidative stress and inflammation Aging is a process whereby various changes were accu- associated with ameliorating diseases, such as vascular mulated over time, resulting in dysfunction in mole- endothelial disorders, neurodegenerative diseases, as cules, cells, tissues and organs. -
Linking Glycogen and Senescence in Cancer Cells
Cell Metabolism Previews Linking Glycogen and Senescence in Cancer Cells Susana Ros1 and Almut Schulze1,* 1Gene Expression Analysis Laboratory, Cancer Research UK London Research Institute, 44 Lincoln’s Inn Fields, London WC2A 3LY, UK *Correspondence: [email protected] http://dx.doi.org/10.1016/j.cmet.2012.11.010 Glycogen metabolism operates as an alternative energy source, enabling cell growth under conditions of metabolic stress. Favaro et al. (2012) now demonstrate that in hypoxic cancer cells, depletion of liver glycogen phosphorylase causes glycogen accumulation, leading to oxidative stress, induction of senes- cence, and impaired tumor growth in vivo. Among the various metabolic adaptations (PYGL) was previously found among the the survival of cancer cells (Figure 1). employed by cancer cells to adjust to the 99 genes included in a hypoxia ‘‘meta- Based on this model, PYGL silencing conditions imposed by the tumor micro- gene’’ signature, which predicts poor impairs glycogen breakdown, results in environment, changes in glycogen meta- survival in head and neck squamous cell decreased flux through the PPP, and bolism are emerging as an essential carcinomas and breast cancer (Winter diminishes NADPH levels, which not only response (Brahimi-Horn et al., 2011). et al., 2007). Therefore, the role of provide the reductive power for the Understanding the role of glycogen glycogen degradation in response to synthesis of macromolecules for cell metabolism in neoplastic transformation hypoxia and in cancer cell survival re- growth and proliferation, but also main- requires a better knowledge of how this mained unclear. tain cellular redox balance. The increase metabolic pathway is regulated in cancer.