RNA-Seq Based Genetic Variant Discovery Provides New Insights
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Genome-Wide Analysis of 5-Hmc in the Peripheral Blood of Systemic Lupus Erythematosus Patients Using an Hmedip-Chip
INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 35: 1467-1479, 2015 Genome-wide analysis of 5-hmC in the peripheral blood of systemic lupus erythematosus patients using an hMeDIP-chip WEIGUO SUI1*, QIUPEI TAN1*, MING YANG1, QIANG YAN1, HUA LIN1, MINGLIN OU1, WEN XUE1, JIEJING CHEN1, TONGXIANG ZOU1, HUANYUN JING1, LI GUO1, CUIHUI CAO1, YUFENG SUN1, ZHENZHEN CUI1 and YONG DAI2 1Guangxi Key Laboratory of Metabolic Diseases Research, Central Laboratory of Guilin 181st Hospital, Guilin, Guangxi 541002; 2Clinical Medical Research Center, the Second Clinical Medical College of Jinan University (Shenzhen People's Hospital), Shenzhen, Guangdong 518020, P.R. China Received July 9, 2014; Accepted February 27, 2015 DOI: 10.3892/ijmm.2015.2149 Abstract. Systemic lupus erythematosus (SLE) is a chronic, Introduction potentially fatal systemic autoimmune disease characterized by the production of autoantibodies against a wide range Systemic lupus erythematosus (SLE) is a typical systemic auto- of self-antigens. To investigate the role of the 5-hmC DNA immune disease, involving diffuse connective tissues (1) and modification with regard to the onset of SLE, we compared is characterized by immune inflammation. SLE has a complex the levels 5-hmC between SLE patients and normal controls. pathogenesis (2), involving genetic, immunologic and envi- Whole blood was obtained from patients, and genomic DNA ronmental factors. Thus, it may result in damage to multiple was extracted. Using the hMeDIP-chip analysis and valida- tissues and organs, especially the kidneys (3). SLE arises from tion by quantitative RT-PCR (RT-qPCR), we identified the a combination of heritable and environmental influences. differentially hydroxymethylated regions that are associated Epigenetics, the study of changes in gene expression with SLE. -
Isyte: Integrated Systems Tool for Eye Gene Discovery
Lens iSyTE: Integrated Systems Tool for Eye Gene Discovery Salil A. Lachke,1,2,3,4 Joshua W. K. Ho,1,4,5 Gregory V. Kryukov,1,4,6 Daniel J. O’Connell,1 Anton Aboukhalil,1,7 Martha L. Bulyk,1,8,9 Peter J. Park,1,5,10 and Richard L. Maas1 PURPOSE. To facilitate the identification of genes associated ther investigation. Extension of this approach to other ocular with cataract and other ocular defects, the authors developed tissue components will facilitate eye disease gene discovery. and validated a computational tool termed iSyTE (integrated (Invest Ophthalmol Vis Sci. 2012;53:1617–1627) DOI: Systems Tool for Eye gene discovery; http://bioinformatics. 10.1167/iovs.11-8839 udel.edu/Research/iSyTE). iSyTE uses a mouse embryonic lens gene expression data set as a bioinformatics filter to select candidate genes from human or mouse genomic regions impli- ven with the advent of high-throughput sequencing, the cated in disease and to prioritize them for further mutational Ediscovery of genes associated with congenital birth defects and functional analyses. such as eye defects remains a challenge. We sought to develop METHODS. Microarray gene expression profiles were obtained a straightforward experimental approach that could facilitate for microdissected embryonic mouse lens at three key devel- the identification of candidate genes for developmental disor- opmental time points in the transition from the embryonic day ders, and, as proof-of-principle, we chose defects involving the (E)10.5 stage of lens placode invagination to E12.5 lens primary ocular lens. Opacification of the lens results in cataract, a leading cause of blindness that affects 77 million persons and fiber cell differentiation. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Evolution, Dynamic Expression Changes and Regulatory Characteristics of Gene Families Involved in the Glycerophosphate Pathway O
www.nature.com/scientificreports OPEN Evolution, dynamic expression changes and regulatory characteristics of gene families Received: 2 October 2018 Accepted: 14 August 2019 involved in the glycerophosphate Published: xx xx xxxx pathway of triglyceride synthesis in chicken (Gallus gallus) Liyu Yang1, Ziming Liu1, Kepeng Ou2, Taian Wang1, Zhuanjian Li1,3,4, Yadong Tian1,3,4, Yanbin Wang1,3,4, Xiangtao Kang1,3,4, Hong Li1,3,4 & Xiaojun Liu1,3,4 It is well documented that four gene families, including the glycerophosphate acyltransferases (GPATs), acylglycerophosphate acyltransferases (AGPATs), lipid phosphate phosphohydrolases (LPINs) and diacylglycerol acyltransferases (DGATs), are involved in the glycerophosphate pathway of de novo triglyceride (TG) biosynthesis in mammals. However, no systematic analysis has been conducted to characterize the gene families in poultry. In this study, the sequences of gene family members in the glycerophosphate pathway were obtained by screening the public databases. The phylogenetic tree, gene structures and conserved motifs of the corresponding proteins were evaluated. Dynamic expression changes of the genes at diferent developmental stages were analyzed by qRT-PCR. The regulatory characteristics of the genes were analyzed by in vivo experiments. The results showed that the GPAT, AGPAT and LPIN gene families have 2, 7 and 2 members, respectively, and they were classifed into 2, 4 and 2 cluster respectively based on phylogenetic analysis. All of the genes except AGPAT1 were extensively expressed in various tissues. Estrogen induction upregulated the expression of GPAM and AGPAT2, downregulated the expression of AGPAT3, AGPAT9, LPIN1 and LPIN2, and had no efect on the expression of the other genes. These fndings provide a valuable resource for further investigation of lipid metabolism in liver of chicken. -
Transcriptome Analyses of Rhesus Monkey Pre-Implantation Embryos Reveal A
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Transcriptome analyses of rhesus monkey pre-implantation embryos reveal a reduced capacity for DNA double strand break (DSB) repair in primate oocytes and early embryos Xinyi Wang 1,3,4,5*, Denghui Liu 2,4*, Dajian He 1,3,4,5, Shengbao Suo 2,4, Xian Xia 2,4, Xiechao He1,3,6, Jing-Dong J. Han2#, Ping Zheng1,3,6# Running title: reduced DNA DSB repair in monkey early embryos Affiliations: 1 State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 2 Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China 3 Yunnan Key Laboratory of Animal Reproduction, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 4 University of Chinese Academy of Sciences, Beijing, China 5 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China 6 Primate Research Center, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China * Xinyi Wang and Denghui Liu contributed equally to this work 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press # Correspondence: Jing-Dong J. Han, Email: [email protected]; Ping Zheng, Email: [email protected] Key words: rhesus monkey, pre-implantation embryo, DNA damage 2 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Pre-implantation embryogenesis encompasses several critical events including genome reprogramming, zygotic genome activation (ZGA) and cell fate commitment. -
The Set7 Lysine Methyltransferase Regulates Plasticity in Oxidative Phosphorylation Necessary for Trained Immunity Induced by Β-Glucan
University of Southern Denmark The Set7 Lysine Methyltransferase Regulates Plasticity in Oxidative Phosphorylation Necessary for Trained Immunity Induced by β-Glucan Keating, Samuel T.; Groh, Laszlo; van der Heijden, Charlotte D.C.C.; Rodriguez, Hanah; dos Santos, Jéssica C.; Fanucchi, Stephanie; Okabe, Jun; Kaipananickal, Harikrishnan; van Puffelen, Jelmer H.; Helder, Leonie; Noz, Marlies P.; Matzaraki, Vasiliki; Li, Yang; de Bree, L. Charlotte J.; Koeken, Valerie A.C.M.; Moorlag, Simone J.C.F.M.; Mourits, Vera P.; Domínguez-Andrés, Jorge; Oosting, Marije; Bulthuis, Elianne P.; Koopman, Werner J.H.; Mhlanga, Musa; El-Osta, Assam; Joosten, Leo A.B.; Netea, Mihai G.; Riksen, Niels P. Published in: Cell Reports DOI: 10.1016/j.celrep.2020.107548 Publication date: 2020 Document version: Final published version Document license: CC BY-NC-ND Citation for pulished version (APA): Keating, S. T., Groh, L., van der Heijden, C. D. C. C., Rodriguez, H., dos Santos, J. C., Fanucchi, S., Okabe, J., Kaipananickal, H., van Puffelen, J. H., Helder, L., Noz, M. P., Matzaraki, V., Li, Y., de Bree, L. C. J., Koeken, V. A. C. M., Moorlag, S. J. C. F. M., Mourits, V. P., Domínguez-Andrés, J., Oosting, M., ... Riksen, N. P. (2020). The Set7 Lysine Methyltransferase Regulates Plasticity in Oxidative Phosphorylation Necessary for Trained Immunity Induced by β-Glucan. Cell Reports, 31(3), [107548]. https://doi.org/10.1016/j.celrep.2020.107548 Go to publication entry in University of Southern Denmark's Research Portal Terms of use This work is brought to you by the University of Southern Denmark. Unless otherwise specified it has been shared according to the terms for self-archiving. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
High-Throughput Discovery of Novel Developmental Phenotypes
High-throughput discovery of novel developmental phenotypes The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Dickinson, M. E., A. M. Flenniken, X. Ji, L. Teboul, M. D. Wong, J. K. White, T. F. Meehan, et al. 2016. “High-throughput discovery of novel developmental phenotypes.” Nature 537 (7621): 508-514. doi:10.1038/nature19356. http://dx.doi.org/10.1038/nature19356. Published Version doi:10.1038/nature19356 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:32071918 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nature. Manuscript Author Author manuscript; Manuscript Author available in PMC 2017 March 14. Published in final edited form as: Nature. 2016 September 22; 537(7621): 508–514. doi:10.1038/nature19356. High-throughput discovery of novel developmental phenotypes A full list of authors and affiliations appears at the end of the article. Abstract Approximately one third of all mammalian genes are essential for life. Phenotypes resulting from mouse knockouts of these genes have provided tremendous insight into gene function and congenital disorders. As part of the International Mouse Phenotyping Consortium effort to generate and phenotypically characterize 5000 knockout mouse lines, we have identified 410 Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms #Corresponding author: [email protected]. -
Bppart and Bpmax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model
BPPart and BPMax: RNA-RNA Interaction Partition Function and Structure Prediction for the Base Pair Counting Model Ali Ebrahimpour-Boroojeny, Sanjay Rajopadhye, and Hamidreza Chitsaz ∗ Department of Computer Science, Colorado State University Abstract A few elite classes of RNA-RNA interaction (RRI), with complex roles in cellular functions such as miRNA-target and lncRNAs in human health, have already been studied. Accordingly, RRI bioinfor- matics tools tailored for those elite classes have been proposed in the last decade. Interestingly, there are somewhat unnoticed mRNA-mRNA interactions in the literature with potentially drastic biological roles. Hence, there is a need for high-throughput generic RRI bioinformatics tools. We revisit our RRI partition function algorithm, piRNA, which happens to be the most comprehensive and computationally-intensive thermodynamic model for RRI. We propose simpler models that are shown to retain the vast majority of the thermodynamic information that piRNA captures. We simplify the energy model and instead consider only weighted base pair counting to obtain BPPart for Base-pair Partition function and BPMax for Base-pair Maximization which are 225 and 1350 faster ◦ × × than piRNA, with a correlation of 0.855 and 0.836 with piRNA at 37 C on 50,500 experimentally charac- terized RRIs. This correlation increases to 0.920 and 0.904, respectively, at 180◦C. − Finally, we apply our algorithm BPPart to discover two disease-related RNAs, SNORD3D and TRAF3, and hypothesize their potential roles in Parkinson's disease and Cerebral Autosomal Dominant Arteri- opathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). 1 Introduction Since mid 1990s with the advent of RNA interference discovery, RNA-RNA interaction (RRI) has moved to the spotlight in modern, post-genome biology. -
Datasheet Blank Template
SAN TA C RUZ BI OTEC HNOL OG Y, INC . PNO1 (D-14): sc-133263 BACKGROUND APPLICATIONS PNO1 (partner of NOB1), also known as KHRBP1, is a 252 amino acid protein PNO1 (D-14) is recommended for detection of PNO1 of mouse, rat and that localizes to the nucleolus and contains one KH domain. Expressed in a human origin by Western Blotting (starting dilution 1:200, dilution range variety of tissues, including kidney, lung, liver and spleen, with lower levels 1:100-1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein present in brain, heart, colon and skeletal muscle, PNO1 may play a role in (1 ml of cell lysate)], immunofluorescence (starting dilution 1:50, dilution RNA binding events during transcription or translation. The gene encoding range 1:50-1:500) and solid phase ELISA (starting dilution 1:30, dilution PNO1 maps to human chromosome 2, which houses over 1,400 genes and range 1:30-1:3000). comprises nearly 8% of the human genome. Harlequin icthyosis, a rare and Suitable for use as control antibody for PNO1 siRNA (h): sc-94365, PNO1 morbid skin deformity, is associated with mutations in the ABCA12 gene, siRNA (m): sc-152359, PNO1 shRNA Plasmid (h): sc-94365-SH, PNO1 shRNA while the lipid metabolic disorder sitosterolemia is associated with defects Plasmid (m): sc-152359-SH, PNO1 shRNA (h) Lentiviral Particles: sc-94365-V in the ABCG5 and ABCG8 genes. Additionally, an extremely rare recessive and PNO1 shRNA (m) Lentiviral Particles: sc-152359-V. genetic disorder, Alström syndrome, is caused by mutations in the ALMS1 gene, which maps to chromosome 2. -
Download from a Dedicated
bioRxiv preprint doi: https://doi.org/10.1101/742379; this version posted August 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Pathogenic impact of isoform switches in 1209 cancer samples covering 27 cancer types using an isoform-specific interaction network Abdullah Kahraman1,2,3 and Christian von Mering1,3 1 University of Zurich, Institute of Molecular Life Sciences (Zurich, Switzerland) 2 University Hospital Zurich, Department of Pathology and Molecular Pathology, Molecular Tumor Profiling lab (Zurich, Switzerland) 3 Swiss Institute of Bioinformatics Abstract Under normal conditions, cells of almost all tissues types express the same predominant canonical transcript isoform at each gene locus. In cancer, however, splicing regulation is often disturbed, leading to cancer-specific switches in the most dominant transcripts (MDT). But what is the pathogenic impact of these switches and how are they driving oncogenesis? To address these questions, we have developed CanIsoNet, a novel isoform-specific protein-protein interaction network that identifies binding domain losses and interaction disruptions in known alternatively spliced isoforms. We applied CanIsoNet on 1209 cancer samples covering 27 different cancer types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) project of the International Cancer Genomics Consortium (ICGC). Our study revealed large variations in the number of cancer-specific MDTs (cMDT) between cancer types. While carcinomas of the head and neck, and brain had none or few cMDT switches, cancers of the female reproduction organs showed the highest number of cMDTs. -
Differential Mitochondrial Proteomic Analysis of A549 Cells Infected With
Yang et al. Virol J (2021) 18:39 https://doi.org/10.1186/s12985-021-01512-4 RESEARCH Open Access Diferential mitochondrial proteomic analysis of A549 cells infected with avian infuenza virus subtypes H5 and H9 Yuting Yang1, Yun Zhang1, Changcheng Yang1, Fang Fang1, Ying Wang1, Haiyan Chang1*, Ze Chen1,2* and Ping Chen1* Abstract Background: Both the highly pathogenic avian infuenza (HPAI) H5N1 and low pathogenic avian infuenza (LPAI) H9N2 viruses have been reported to cross species barriers to infect humans. H5N1 viruses can cause severe damage and are associated with a high mortality rate, but H9N2 viruses do not cause such outcomes. Our purpose was to use proteomics technology to study the diferential expression of mitochondrial-related proteins related to H5N1 and H9N2 virus infections. Methods: According to the determined viral infection titer, A549 cells were infected with 1 multiplicity of infec- tion virus, and the mitochondria were extracted after 24 h of incubation. The protein from lysed mitochondria was analyzed by the BCA method to determine the protein concentration, as well as SDS-PAGE (preliminary analysis), two-dimensional gel electrophoresis, and mass spectrometry. Diferential protein spots were selected, and Western blotting was performed to verify the proteomics results. The identifed proteins were subjected to GO analysis for subcellular localization, KEGG analysis for functional classifcation and signaling pathways assessment, and STRING analysis for functional protein association network construction. Results: In the 2-D gel electrophoresis analysis, 227 protein spots were detected in the H5N1-infected group, and 169 protein spots were detected in the H9N2-infected group. Protein spots were further subjected to mass spectrom- etry identifcation and removal of redundancy, and 32 diferentially expressed proteins were identifed.