Mouse Nrd1 Conditional Knockout Project (CRISPR/Cas9)
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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. -
A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast
A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast By Jessica M. Vera B.S. University of Wisconsin-Madison, 2007 A thesis submitted to the Faculty of the Graduate School in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Molecular, Cellular, and Developmental Biology 2015 This thesis entitled: A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast written by Jessica M. Vera has been approved for the Department of Molecular, Cellular, and Developmental Biology Tom Blumenthal Robin Dowell Date The final copy of this thesis has been examined by the signatories, and we find that both the content and the form meet acceptable presentation standards of scholarly work in the above mentioned discipline iii Vera, Jessica M. (Ph.D., Molecular, Cellular and Developmental Biology) A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast Thesis Directed by Robin Dowell Cryptic unstable transcripts (CUTs) are a largely unexplored class of nuclear exosome degraded, non-coding RNAs in budding yeast. It is highly debated whether CUT transcription has a functional role in the cell or whether CUTs represent noise in the yeast transcriptome. I sought to ascertain the extent of conserved CUT expression across a variety of Saccharomyces yeast strains to further understand and characterize the nature of CUT expression. To this end I designed a Hidden Markov Model (HMM) to analyze strand-specific RNA sequencing data from nuclear exosome rrp6Δ mutants to identify and compare CUTs in four different yeast strains: S288c, Σ1278b, JAY291 (S.cerevisiae) and N17 (S.paradoxus). -
PAR-CLIP Data Indicate That Nrd1-Nab3
Webb et al. Genome Biology 2014, 15:R8 http://genomebiology.com/2014/15/1/R8 RESEARCH Open Access PAR-CLIP data indicate that Nrd1-Nab3-dependent transcription termination regulates expression of hundreds of protein coding genes in yeast Shaun Webb2, Ralph D Hector1, Grzegorz Kudla3 and Sander Granneman1,2* Abstract Background: Nrd1 and Nab3 are essential sequence-specific yeast RNA binding proteins that function as a heterodimer in the processing and degradation of diverse classes of RNAs. These proteins also regulate several mRNA coding genes; however, it remains unclear exactly what percentage of the mRNA component of the transcriptome these proteins control. To address this question, we used the pyCRAC software package developed in our laboratory to analyze CRAC and PAR-CLIP data for Nrd1-Nab3-RNA interactions. Results: We generated high-resolution maps of Nrd1-Nab3-RNA interactions, from which we have uncovered hundreds of new Nrd1-Nab3 mRNA targets, representing between 20 and 30% of protein-coding transcripts. Although Nrd1 and Nab3 showed a preference for binding near 5′ ends of relatively short transcripts, they bound transcripts throughout coding sequences and 3′ UTRs. Moreover, our data for Nrd1-Nab3 binding to 3′ UTRs was consistent with a role for these proteins in the termination of transcription. Our data also support a tight integration of Nrd1-Nab3 with the nutrient response pathway. Finally, we provide experimental evidence for some of our predictions, using northern blot and RT-PCR assays. Conclusions: Collectively, our data support the notion that Nrd1 and Nab3 function is tightly integrated with the nutrient response and indicate a role for these proteins in the regulation of many mRNA coding genes. -
RNA Polymerase II CTD Phosphatase Rtr1 Fine-Tunes Transcription Termination
PLOS GENETICS RESEARCH ARTICLE RNA Polymerase II CTD phosphatase Rtr1 fine-tunes transcription termination 1☯ 1☯ 1 Jose F. VictorinoID , Melanie J. FoxID , Whitney R. Smith-KinnamanID , Sarah A. Peck 1 1 1 1 1 JusticeID , Katlyn H. BurrissID , Asha K. Boyd , Megan A. Zimmerly , Rachel R. Chan , 1 2,3 1,3¤ Gerald O. Hunter , Yunlong LiuID , Amber L. MosleyID * 1 Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, United States of America, 2 Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, United States of America, 3 Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, United States of America a1111111111 a1111111111 ☯ These authors contributed equally to this work. a1111111111 ¤ Current address: Amber L. Mosley, Department of Biochemistry and Molecular Biology, Indiana University a1111111111 School of Medicine, Indianapolis, Indiana, United States of America a1111111111 * [email protected] Abstract OPEN ACCESS RNA Polymerase II (RNAPII) transcription termination is regulated by the phosphorylation Citation: Victorino JF, Fox MJ, Smith-Kinnaman status of the C-terminal domain (CTD). The phosphatase Rtr1 has been shown to regulate WR, Peck Justice SA, Burriss KH, Boyd AK, et al. serine 5 phosphorylation on the CTD; however, its role in the regulation of RNAPII termina- (2020) RNA Polymerase II CTD phosphatase Rtr1 tion has not been explored. As a consequence of RTR1 deletion, interactions within the ter- fine-tunes transcription termination. PLoS Genet mination machinery and between the termination machinery and RNAPII were altered as 16(3): e1008317. https://doi.org/10.1371/journal. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
OSBPL9 (NM 148907) Human Tagged ORF Clone Lentiviral Particle Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC221526L4V OSBPL9 (NM_148907) Human Tagged ORF Clone Lentiviral Particle Product data: Product Type: Lentiviral Particles Product Name: OSBPL9 (NM_148907) Human Tagged ORF Clone Lentiviral Particle Symbol: OSBPL9 Synonyms: ORP-9; ORP9 Vector: pLenti-C-mGFP-P2A-Puro (PS100093) ACCN: NM_148907 ORF Size: 1878 bp ORF Nucleotide The ORF insert of this clone is exactly the same as(RC221526). Sequence: OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_148907.1 RefSeq Size: 2694 bp RefSeq ORF: 1881 bp Locus ID: 114883 UniProt ID: Q96SU4 MW: 70.1 kDa This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 OSBPL9 (NM_148907) Human Tagged ORF Clone Lentiviral Particle – RC221526L4V Gene Summary: This gene encodes a member of the oxysterol-binding protein (OSBP) family, a group of intracellular lipid receptors. -
OSBPL9 (NM 148906) Human Tagged ORF Clone – RC221011L3
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC221011L3 OSBPL9 (NM_148906) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: OSBPL9 (NM_148906) Human Tagged ORF Clone Tag: Myc-DDK Symbol: OSBPL9 Synonyms: ORP-9; ORP9 Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC221011). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_148906 ORF Size: 1713 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 OSBPL9 (NM_148906) Human Tagged ORF Clone – RC221011L3 OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_148906.1, NP_683704.1 RefSeq Size: 2840 bp RefSeq ORF: 2160 bp Locus ID: 114883 UniProt ID: Q96SU4 MW: 63.7 kDa Gene Summary: This gene encodes a member of the oxysterol-binding protein (OSBP) family, a group of intracellular lipid receptors. -
Measuring Gene Expression Part 3 Key Steps in Microarray Analysis
Measuring Gene Expression Part 3 David Wishart Bioinformatics 301 [email protected] Key Steps in Microarray Analysis • Quality Control (checking microarrays for errors or problems) • Image Processing – Gridding – Segmentation (peak picking) – Data Extraction (intensity, QC) • Data Analysis and Data Mining Comet Tailing • Often caused by insufficiently rapid immersion of the slides in the succinic anhydride blocking solution. Uneven Spotting/Blotting • Problems with print tips or with overly viscous solution • Problems with humidity in spottiing chamber High Background • Insufficient Blocking • Precipitation of labelled probe Gridding Errors Spotting errors Uneven hybridization Gridding errors Key Steps in Microarray Analysis • Quality Control (checking microarrays for errors or problems) • Image Processing – Gridding – Segmentation (spot picking) – Data Extraction (intensity, QC) • Data Analysis and Data Mining Microarray Scanning PMT Pinhole Detector lens Laser Beam-splitter Objective Lens Dye Glass Slide Microarray Principles Laser 1 Laser 2 Green channel Red channel Scan and detect with overlay images Image process confocal laser system and normalize and analyze Microarray Images • Resolution – standard 10µm [currently, max 5µm] – 100µm spot on chip = 10 pixels in diameter • Image format – TIFF (tagged image file format) 16 bit (64K grey levels) – 1cm x 1cm image at 16 bit = 2Mb (uncompressed) – other formats exist i.e. SCN (Stanford University) • Separate image for each fluorescent sample – channel 1, channel 2, etc. Image -
Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth
ORIGINAL www.jpeds.com • THE JOURNAL OF PEDIATRICS ARTICLES Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth Joan Kaufman, PhD1,2,3, Janitza L. Montalvo-Ortiz, PhD3, Hannah Holbrook,BA4, Kerry O'Loughlin,BA4, Catherine Orr, PhD4, Catherine Kearney,MA1, Bao-Zhu Yang, PhD3, Tao Wang, PhD5,6, Hongyu Zhao, PhD5, Robert Althoff, MD, PhD4, Hugh Garavan, PhD4, Joel Gelernter,MD3,7, and James Hudziak,MD4 Objective To determine if measures of adverse childhood experiences and DNA methylation relate to indices of obesity in youth. Study design Participants were derived from a cohort of 321 8 to 15-year-old children recruited for an investi- gation examining risk and resilience and psychiatric outcomes in maltreated children. Assessments of obesity were collected as an add-on for a subset of 234 participants (56% female; 52% maltreated). Illumina arrays were used to examine whole genome epigenetic predictors of obesity in saliva DNA. For analytic purposes, the cohort ana- lyzed in the first batch comprised the discovery sample (n = 160), and the cohort analyzed in the second batch the replication sample (n = 74). Results After controlling for race, sex, age, cell heterogeneity, 3 principal components, and whole genome testing, 10 methylation sites were found to interact with adverse childhood experiences to predict cross-sectional mea- sures of body mass index, and an additional 6 sites were found to exert a main effect in predicting body mass index (P < 5.0 × 10−7, all comparisons). Eight of the methylation sites were in genes previously associated with obesity risk (eg, PCK2, CxCl10, BCAT1, HID1, PRDM16, MADD, PXDN, GALE), with several of the findings from the dis- covery data set replicated in the second cohort. -
Supporting Information
Supporting Information Friedman et al. 10.1073/pnas.0812446106 SI Results and Discussion intronic miR genes in these protein-coding genes. Because in General Phenotype of Dicer-PCKO Mice. Dicer-PCKO mice had many many cases the exact borders of the protein-coding genes are defects in additional to inner ear defects. Many of them died unknown, we searched for miR genes up to 10 kb from the around birth, and although they were born at a similar size to hosting-gene ends. Out of the 488 mouse miR genes included in their littermate heterozygote siblings, after a few weeks the miRBase release 12.0, 192 mouse miR genes were found as surviving mutants were smaller than their heterozygote siblings located inside (distance 0) or in the vicinity of the protein-coding (see Fig. 1A) and exhibited typical defects, which enabled their genes that are expressed in the P2 cochlear and vestibular SE identification even before genotyping, including typical alopecia (Table S2). Some coding genes include huge clusters of miRNAs (in particular on the nape of the neck), partially closed eyelids (e.g., Sfmbt2). Other genes listed in Table S2 as coding genes are [supporting information (SI) Fig. S1 A and C], eye defects, and actually predicted, as their transcript was detected in cells, but weakness of the rear legs that were twisted backwards (data not the predicted encoded protein has not been identified yet, and shown). However, while all of the mutant mice tested exhibited some of them may be noncoding RNAs. Only a single protein- similar deafness and stereocilia malformation in inner ear HCs, coding gene that is differentially expressed in the cochlear and other defects were variable in their severity. -
Genetic Evidence Implicates the Immune System and Cholesterol Metabolism in the Aetiology of Alzheimer's Disease Alison M
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2010 Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer's disease Alison M. Goate Washington University School of Medicine in St. Louis Carlos Cruchaga Washington University School of Medicine in St. Louis Petra Nowotny Washington University School of Medicine in St. Louis John C. Morris Washington University School of Medicine in St. Louis Kevin Mayo Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Part of the Medicine and Health Sciences Commons Recommended Citation Goate, Alison M.; Cruchaga, Carlos; Nowotny, Petra; Morris, John C.; Mayo, Kevin; and et al., ,"Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer's disease." PLoS One.,. e13950. (2010). https://digitalcommons.wustl.edu/open_access_pubs/1093 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Alison M. Goate, Carlos Cruchaga, Petra Nowotny, John C. Morris, Kevin Mayo, and et al. This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/1093 Genetic Evidence Implicates the Immune System and Cholesterol Metabolism in the Aetiology of Alzheimer’s Disease Lesley Jones1., Peter A. Holmans1., Marian L. Hamshere1, Denise Harold1, Valentina Moskvina1, Dobril Ivanov1, Andrew Pocklington1, Richard Abraham1, Paul Hollingworth1, Rebecca Sims1, Amy Gerrish1, Jaspreet Singh Pahwa1, Nicola Jones1, Alexandra Stretton1, Angharad R.