The document characterized DNA methylation in the Pacific oyster (Crassostrea gigas). Results showed DNA methylation is present and predictive analysis aligned with experimental measurements. High-throughput bisulfite sequencing of gill tissue revealed methylation in exons, introns, and intergenic regions. Methylation levels correlated negatively with gene expression. Comparisons between tissues identified differentially methylated regions, with half in gene bodies. Methylation may distinguish housekeeping from inducible genes and have a role in tissue-specific functions.
This document summarizes research characterizing DNA methylation in the Pacific oyster Crassostrea gigas. High-throughput bisulfite sequencing was used to analyze DNA methylation patterns at high resolution. Several genes were found to have different levels and patterns of methylation across tissues and developmental stages. The results provide evidence that DNA methylation plays an important regulatory role and may be involved in environmental responses in C. gigas. Future work will investigate how epigenetic mechanisms are affected by environmental stressors.
The document discusses the evolution of genomic resources at the National Center for Biotechnology Information (NCBI) over the past 22 years. It shows graphs of the growth in data volumes for resources like GenBank, users accessing services, and the number of human variations cataloged in dbSNP. Key resources highlighted include PubMed, BLAST, Entrez, GenBank, dbSNP, Reference Sequence (RefSeq), Genome Remapping Service, Sequence Read Archive, and more. The document outlines NCBI's role in organizing and providing access to genomic and biomedical literature data.
The document summarizes the evolution of genome data over time at the National Center for Biotechnology Information (NCBI). It describes how the amount of genome data and number of users has grown exponentially since 1989. It also discusses advances in genome assembly, including representing structural variation and alternate loci. The development of the Genome Reference Consortium to maintain updated genome assemblies deposited in public archives is also covered.
This study uses microfluidic devices containing wells connected by tunnels to culture neuronal networks and control the direction of connections. Multi-electrode array recordings of neuronal activity from the wells are analyzed using Granger causality to validate its ability to determine connectivity directionality. The results show that Granger causality correctly identified unidirectional propagation of activity from older to younger neuronal populations through the tunnels. However, the analysis is sensitive to the time scale used, and both the bin size and time constant must match the time scale of interactions between neurons.
A significant amount of time could be saved by cutting out the unnecessary steps from traditional cloning and moving into gene synthesis. Gene synthesis has become a costeffective, time- and resource-saving method for obtaining nearly any desired DNA construct with 100% accuracy. It outperforms conventional molecular biology techniques in terms of time and cost, while providing equivalent or better expression performance, and construct stability and quality. GeneArt® gene synthesis tools gobeyond traditional synthesis and enable expression optimization and maximum performance. Watch this webinar with audio at: http://owl.li/jppYn
This document discusses the process of analyzing sequencing data from the NA12878 reference sample. It describes the 3 phases required to turn raw sequencing reads into usable variant calls: 1) NGS data processing, 2) variant discovery and genotyping, and 3) integrative analysis. Phase 1 involves tasks like mapping, local realignment, and duplicate marking to produce analysis-ready reads. Phase 2 identifies SNPs, indels and structural variants. Phase 3 performs quality control and combines results with other data. The document emphasizes the extensive processing needed to produce reliable variant calls from raw sequencing data.
Combined Ion Exchange Pretreatment to Reduce Membrane Fouling: Understanding ...WaterWeUpTo
This research aims to understand interactions between natural organic matter (NOM) and divalent cations during ion exchange to enhance pretreatment and reduce membrane fouling. Experiments were conducted with various NOM isolates, resins, and cations to determine stoichiometry and dissolved organic carbon removal. Results showed more barium was removed due to precipitation as barium sulfate. Future work will compare different resin forms and conduct nanofiltration experiments with ion exchange pretreatment.
Characterizing RNF20 and RNF40 in Class Switching of B CellsCathy Tie
Cathy Tie conducted a study to characterize the roles of RNF20 and RNF40 in class switching of B cells. She extracted mRNA from B cells and used PCR to amplify RNF20 and RNF40 cDNA, but initial primers were ineffective. Objectives included testing new primers and determining if overexpressing or depleting RNF20/RNF40 impacts class switching. Successful amplification of RNF20 and RNF40 would involve cloning the genes into a plasmid for bacterial expression and reintroducing them into B cells to observe effects on class switching. This may provide insights into DNA damage response pathways in antibody diversification and cancer.
This document summarizes research characterizing DNA methylation in the Pacific oyster Crassostrea gigas. High-throughput bisulfite sequencing was used to analyze DNA methylation patterns at high resolution. Several genes were found to have different levels and patterns of methylation across tissues and developmental stages. The results provide evidence that DNA methylation plays an important regulatory role and may be involved in environmental responses in C. gigas. Future work will investigate how epigenetic mechanisms are affected by environmental stressors.
The document discusses the evolution of genomic resources at the National Center for Biotechnology Information (NCBI) over the past 22 years. It shows graphs of the growth in data volumes for resources like GenBank, users accessing services, and the number of human variations cataloged in dbSNP. Key resources highlighted include PubMed, BLAST, Entrez, GenBank, dbSNP, Reference Sequence (RefSeq), Genome Remapping Service, Sequence Read Archive, and more. The document outlines NCBI's role in organizing and providing access to genomic and biomedical literature data.
The document summarizes the evolution of genome data over time at the National Center for Biotechnology Information (NCBI). It describes how the amount of genome data and number of users has grown exponentially since 1989. It also discusses advances in genome assembly, including representing structural variation and alternate loci. The development of the Genome Reference Consortium to maintain updated genome assemblies deposited in public archives is also covered.
This study uses microfluidic devices containing wells connected by tunnels to culture neuronal networks and control the direction of connections. Multi-electrode array recordings of neuronal activity from the wells are analyzed using Granger causality to validate its ability to determine connectivity directionality. The results show that Granger causality correctly identified unidirectional propagation of activity from older to younger neuronal populations through the tunnels. However, the analysis is sensitive to the time scale used, and both the bin size and time constant must match the time scale of interactions between neurons.
A significant amount of time could be saved by cutting out the unnecessary steps from traditional cloning and moving into gene synthesis. Gene synthesis has become a costeffective, time- and resource-saving method for obtaining nearly any desired DNA construct with 100% accuracy. It outperforms conventional molecular biology techniques in terms of time and cost, while providing equivalent or better expression performance, and construct stability and quality. GeneArt® gene synthesis tools gobeyond traditional synthesis and enable expression optimization and maximum performance. Watch this webinar with audio at: http://owl.li/jppYn
This document discusses the process of analyzing sequencing data from the NA12878 reference sample. It describes the 3 phases required to turn raw sequencing reads into usable variant calls: 1) NGS data processing, 2) variant discovery and genotyping, and 3) integrative analysis. Phase 1 involves tasks like mapping, local realignment, and duplicate marking to produce analysis-ready reads. Phase 2 identifies SNPs, indels and structural variants. Phase 3 performs quality control and combines results with other data. The document emphasizes the extensive processing needed to produce reliable variant calls from raw sequencing data.
Combined Ion Exchange Pretreatment to Reduce Membrane Fouling: Understanding ...WaterWeUpTo
This research aims to understand interactions between natural organic matter (NOM) and divalent cations during ion exchange to enhance pretreatment and reduce membrane fouling. Experiments were conducted with various NOM isolates, resins, and cations to determine stoichiometry and dissolved organic carbon removal. Results showed more barium was removed due to precipitation as barium sulfate. Future work will compare different resin forms and conduct nanofiltration experiments with ion exchange pretreatment.
Characterizing RNF20 and RNF40 in Class Switching of B CellsCathy Tie
Cathy Tie conducted a study to characterize the roles of RNF20 and RNF40 in class switching of B cells. She extracted mRNA from B cells and used PCR to amplify RNF20 and RNF40 cDNA, but initial primers were ineffective. Objectives included testing new primers and determining if overexpressing or depleting RNF20/RNF40 impacts class switching. Successful amplification of RNF20 and RNF40 would involve cloning the genes into a plasmid for bacterial expression and reintroducing them into B cells to observe effects on class switching. This may provide insights into DNA damage response pathways in antibody diversification and cancer.
This study analyzed the genetic diversity of two spotted salamander populations that breed in different vernal pools near Gordon College. DNA was extracted from egg masses and adult toe clippings using phenol-chloroform purification and ethanol precipitation. An optimized amplified fragment length polymorphism (AFLP) analysis revealed higher genetic diversity and three times as many egg masses in one population compared to the other, suggesting a correlation between genetic diversity and breeding success. This molecular approach provides insights into factors influencing salamander breeding patterns.
Christina Smolke (Stanford) at a LASER on "Synthetic Biology"piero scaruffi
Synthetic biology is the next generation of biotechnology that uses engineering principles to design and construct new biological functions and systems not found in nature. Recent advances in DNA synthesis and genome engineering now allow researchers to design and build complex genetic circuits and biological systems from scratch in living cells. These new tools have the potential to transform many industries by enabling the large-scale production of novel drugs, chemicals, and materials through programmed living organisms.
SBS 2011: Sensitive Cell-based and Biochemical Assays Using Epic(R) Label-fre...PerkinElmer, Inc.
Here we show how the PerkinElmer EnSpire®Multimode Plate Reader with Corning®Epic®label-free technology can be used in 96-and 384-well microplate formats to non-invasively identify and characterize multiple G protein-coupled receptor (GPCR) pathways in living cells using an orthogonal approach. Furthermore, this orthogonal platform enables the use of both label-free and labeled technologies to comprehensively identify and characterize target and ligand behavior in both cell-based and biochemical assays, with greater confidence. By successfully monitoring the ligand-induced dynamic mass redistribution (DMR) in living cells and the ligand-dependent response interrogating protein:proteinand protein:smallmolecule biomolecularinteractions, we demonstrate that this label-free technology is a comprehensive and versatile tool for GPCR research enabling the generation of physiologically-relevant data.
This document describes a study that developed a new method called amplified functional DNA restriction analysis (AFDRA) to analyze the diversity of catechol 2,3-dioxygenase (C23O) genes in soil bacteria. C23O genes code for enzymes important for degrading aromatic pollutants. The researchers used AFDRA to analyze C23O genes from reference strains and soil isolates. They found that AFDRA generated distinct restriction patterns that clustered the isolates into four groups, consistent with sequence analysis. AFDRA also allowed them to determine the predominant C23O gene variants present in environmental DNA extracts from soil samples. The study demonstrates that AFDRA provides a rapid way to assess functional gene diversity in cultures and
This document outlines 10 hot topics in biomanufacturing: 1) product mix and business models in biopharma, 2) high-titer processes in mammalian cell culture, 3) downstream processing being driven by mass rather than volume, 4) facility fit considerations, 5) cost of goods and price margin pressures, 6) biosimilars and biobetters, 7) offshore manufacturing, 8) technology platforms and implications of high titer, 9) emerging technologies for biomass removal and contaminant clearance, and 10) single-use technologies and integrated processing. The speaker concludes by emphasizing the need for new perspectives and solutions to address challenges in biomanufacturing.
The document provides a list of vocabulary terms from the New York State Living Environment Core Curriculum sorted by standard, key idea, performance indicator, and major understanding. It notes that vocabulary terms specific to required labs can only be used in items or questions about that particular lab. An example is provided to illustrate this point. The vocabulary terms cover topics related to scientific inquiry, cellular and organism structures and functions, heredity, evolution, and human impacts on living systems.
DNA methylation regulates lineage-specifying genes in primary lymphatic and b...Brock Donovan
Lab group paper presentation 'DNA methylation regulates lineage-specifying genes in primary lymphatic and blood endothelial cells' Simone Bro ̈nneke et al.
The role of DNA methylation in mediating the effects of estrogens in oystersmgavery
The document summarizes a study that investigated the effects of 17α ethinylestradiol (EE2), a synthetic estrogen, on DNA methylation patterns in oysters. The study found that while EE2 treatment did not affect sex ratios in oysters, it did lead to larger female oysters. Additionally, differentially methylated regions were identified within genes related to growth, immunity, and reproduction after one week of EE2 exposure. The results suggest that DNA methylation may mediate responses to endocrine disrupting chemicals in bivalves and could provide early indicators of chemical exposure in aquatic species.
Analysis of DNA methylation and Gene expression to predict childhood obesitysahirbhatnagar
Recent advances in genomic technologies have made it feasible to measure, on the same individual, multiple types of genomic activity such as genotypes, gene expression, DNA copy number, methylation and microRNA expression. However, in order to benefit from the increasing amounts of heterogeneous data and to obtain a more complete view of genomic functions, there is a great need for statistical and computationally efficient methods that allow us to combine this information in an intelligent way. Challenges with prediction models in this setting arise from the high-dimensional non-linear nature of the data, the large number of measurements compared to the few samples for whom they are collected, and the presence of complex interactions between the different types of data. Methods such as sparse regression, hierarchical clustering and principal component analysis can address any one of these challenges, but can not do so simultaneously. Kernel methods, which use matrices measuring the similarity between two individuals, offer a powerful way of simultaneously addressing these challenges without significantly increasing the computational burden. In this work, we investigate the benefits and challenges that arise from using kernel methods in the context of integrating DNA methylation, gene expression and phenotypic data in a sample of mother-child pairs from a prospective birth cohort. The goal of this study is to identify epigenetic marks observed at birth that help predict childhood obesity.
Genomic approaches to assessing ecosystem healthsr320
This document discusses using genomic approaches to assess ecosystem health. It describes how DNA sequencing can generate large amounts of genetic data on variations, gene expression, proteins, and epigenetic alterations like DNA methylation. These biological indicators could then be used to monitor the health of ecosystems. The presentation focuses on a study examining the physiological response and DNA methylation of oysters in Puget Sound exposed to various environmental stressors like urban and agricultural runoff. While sequencing allows easy integration of omics into environmental studies, targeted assays would need to be used for practical applications. Epigenetics and its role in marine invertebrate responses to toxins requires more research but could significantly impact ecosystems.
Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?sr320
This document summarizes a presentation on whether DNA methylation facilitates phenotypic plasticity in marine invertebrates. The presentation notes that DNA methylation landscape and functions are different in non-vertebrates compared to vertebrates. Studies in the Pacific oyster show their genome is sparsely methylated, with methylation predominantly in transposable elements and gene bodies. Preliminary evidence suggests differentially methylated regions are most common in transposable elements. The presentation hypothesizes that DNA methylation may provide increased phenotypic diversity through transposable elements and response to environmental change, and the lab is beginning to test these hypotheses through studies on environmental impacts like ocean acidification.
This document introduces analyzing methylation data from Reduced Representation Bisulfite Sequencing (RRBS) experiments using the R package methylKit. It begins with an overview of basic R operations and data structures. Next, it discusses relevant genomics packages in Bioconductor like GenomicRanges and IRanges that are useful for working with genomic intervals. Finally, it demonstrates how to use methylKit to analyze RRBS methylation data, including working with annotated methylation events.
The role of DNA methylation in complex diseasesJordana Bell
A 1-hour lecture to 4th-year undergraduate and/or MSc students in human genetics, focusing on exploring the role of DNA methylation in human complex disease.
DNA methylation regulates gene expression and traits in the Pacific oyster. Researchers characterized DNA methylation in oysters using methylation sensitive PCR and bisulfite sequencing, finding that stress genes and genes with different regulatory needs have varying methylation levels. They are now using MBD-isolated genome sequencing to analyze methylation genome-wide and evaluate previous predictions of methylation status. Understanding DNA methylation's role in gene expression could improve selective breeding and hybrid vigor in oysters.
This document discusses the marriage of translational medicine and big data. It notes that predicting treatment response to known oncogenes like EGFR is complex and requires detailed understanding of genetic backgrounds. Networks can identify genes causal for disease. The approach uses probabilistic causal network models, with over 80 publications validating the scientific approach. Sage Bionetworks is building disease maps and data repositories through collaborations with industry, foundations, government and academia. Fundamentally, biological science hasn't changed due to omics but iterative networked approaches are needed to generate, analyze and support new disease models.
Complete Sequencing – Clifford Reid, PhD; CEO, Complete Genomics as presented at the Personalized Health Care Conference at Ohio State. Dr. Reid discussed what complete human sequencing looks like and costs now and in the near future.
Presentation of Eugeni Belda (LABGeM-Genoscope) at the Biocuration 2012 conference (Georgetown University, Washington DC): From bacterial genome annotation to metabolic pathway curation
Stephen Friend Fanconi Anemia Research Fund 2012-01-21Sage Base
This document summarizes Stephen Friend's presentation on using data intensive science and bionetworks to build better maps of human diseases. It discusses how collecting and integrating massive amounts of molecular and clinical data using open information systems and computing could enable the development of more comprehensive and probabilistic causal models of diseases. These evolving disease maps may help identify causal genes and pathways involved in various conditions. The presentation outlines Sage Bionetworks' mission to create a commons for scientists to collaborate on building and refining such integrative bionetworks to accelerate the elimination of human disease.
This document discusses epigenomics and bioinformatics approaches for profiling the epigenome. It notes that the lab has over 100 people working in areas like hardware engineering, mathematics, and molecular biology. It then summarizes different techniques for profiling the epigenome using next generation sequencing, including MBD-Seq to identify methylated regions and directional RNA-seq to study non-coding RNA and alternative splicing. Integrating these diverse datasets requires normalization methods and reference databases that are still being developed.
This study analyzed the genetic diversity of two spotted salamander populations that breed in different vernal pools near Gordon College. DNA was extracted from egg masses and adult toe clippings using phenol-chloroform purification and ethanol precipitation. An optimized amplified fragment length polymorphism (AFLP) analysis revealed higher genetic diversity and three times as many egg masses in one population compared to the other, suggesting a correlation between genetic diversity and breeding success. This molecular approach provides insights into factors influencing salamander breeding patterns.
Christina Smolke (Stanford) at a LASER on "Synthetic Biology"piero scaruffi
Synthetic biology is the next generation of biotechnology that uses engineering principles to design and construct new biological functions and systems not found in nature. Recent advances in DNA synthesis and genome engineering now allow researchers to design and build complex genetic circuits and biological systems from scratch in living cells. These new tools have the potential to transform many industries by enabling the large-scale production of novel drugs, chemicals, and materials through programmed living organisms.
SBS 2011: Sensitive Cell-based and Biochemical Assays Using Epic(R) Label-fre...PerkinElmer, Inc.
Here we show how the PerkinElmer EnSpire®Multimode Plate Reader with Corning®Epic®label-free technology can be used in 96-and 384-well microplate formats to non-invasively identify and characterize multiple G protein-coupled receptor (GPCR) pathways in living cells using an orthogonal approach. Furthermore, this orthogonal platform enables the use of both label-free and labeled technologies to comprehensively identify and characterize target and ligand behavior in both cell-based and biochemical assays, with greater confidence. By successfully monitoring the ligand-induced dynamic mass redistribution (DMR) in living cells and the ligand-dependent response interrogating protein:proteinand protein:smallmolecule biomolecularinteractions, we demonstrate that this label-free technology is a comprehensive and versatile tool for GPCR research enabling the generation of physiologically-relevant data.
This document describes a study that developed a new method called amplified functional DNA restriction analysis (AFDRA) to analyze the diversity of catechol 2,3-dioxygenase (C23O) genes in soil bacteria. C23O genes code for enzymes important for degrading aromatic pollutants. The researchers used AFDRA to analyze C23O genes from reference strains and soil isolates. They found that AFDRA generated distinct restriction patterns that clustered the isolates into four groups, consistent with sequence analysis. AFDRA also allowed them to determine the predominant C23O gene variants present in environmental DNA extracts from soil samples. The study demonstrates that AFDRA provides a rapid way to assess functional gene diversity in cultures and
This document outlines 10 hot topics in biomanufacturing: 1) product mix and business models in biopharma, 2) high-titer processes in mammalian cell culture, 3) downstream processing being driven by mass rather than volume, 4) facility fit considerations, 5) cost of goods and price margin pressures, 6) biosimilars and biobetters, 7) offshore manufacturing, 8) technology platforms and implications of high titer, 9) emerging technologies for biomass removal and contaminant clearance, and 10) single-use technologies and integrated processing. The speaker concludes by emphasizing the need for new perspectives and solutions to address challenges in biomanufacturing.
The document provides a list of vocabulary terms from the New York State Living Environment Core Curriculum sorted by standard, key idea, performance indicator, and major understanding. It notes that vocabulary terms specific to required labs can only be used in items or questions about that particular lab. An example is provided to illustrate this point. The vocabulary terms cover topics related to scientific inquiry, cellular and organism structures and functions, heredity, evolution, and human impacts on living systems.
DNA methylation regulates lineage-specifying genes in primary lymphatic and b...Brock Donovan
Lab group paper presentation 'DNA methylation regulates lineage-specifying genes in primary lymphatic and blood endothelial cells' Simone Bro ̈nneke et al.
The role of DNA methylation in mediating the effects of estrogens in oystersmgavery
The document summarizes a study that investigated the effects of 17α ethinylestradiol (EE2), a synthetic estrogen, on DNA methylation patterns in oysters. The study found that while EE2 treatment did not affect sex ratios in oysters, it did lead to larger female oysters. Additionally, differentially methylated regions were identified within genes related to growth, immunity, and reproduction after one week of EE2 exposure. The results suggest that DNA methylation may mediate responses to endocrine disrupting chemicals in bivalves and could provide early indicators of chemical exposure in aquatic species.
Analysis of DNA methylation and Gene expression to predict childhood obesitysahirbhatnagar
Recent advances in genomic technologies have made it feasible to measure, on the same individual, multiple types of genomic activity such as genotypes, gene expression, DNA copy number, methylation and microRNA expression. However, in order to benefit from the increasing amounts of heterogeneous data and to obtain a more complete view of genomic functions, there is a great need for statistical and computationally efficient methods that allow us to combine this information in an intelligent way. Challenges with prediction models in this setting arise from the high-dimensional non-linear nature of the data, the large number of measurements compared to the few samples for whom they are collected, and the presence of complex interactions between the different types of data. Methods such as sparse regression, hierarchical clustering and principal component analysis can address any one of these challenges, but can not do so simultaneously. Kernel methods, which use matrices measuring the similarity between two individuals, offer a powerful way of simultaneously addressing these challenges without significantly increasing the computational burden. In this work, we investigate the benefits and challenges that arise from using kernel methods in the context of integrating DNA methylation, gene expression and phenotypic data in a sample of mother-child pairs from a prospective birth cohort. The goal of this study is to identify epigenetic marks observed at birth that help predict childhood obesity.
Genomic approaches to assessing ecosystem healthsr320
This document discusses using genomic approaches to assess ecosystem health. It describes how DNA sequencing can generate large amounts of genetic data on variations, gene expression, proteins, and epigenetic alterations like DNA methylation. These biological indicators could then be used to monitor the health of ecosystems. The presentation focuses on a study examining the physiological response and DNA methylation of oysters in Puget Sound exposed to various environmental stressors like urban and agricultural runoff. While sequencing allows easy integration of omics into environmental studies, targeted assays would need to be used for practical applications. Epigenetics and its role in marine invertebrate responses to toxins requires more research but could significantly impact ecosystems.
Does DNA methylation facilitate phenotypic plasticity in marine invertebrates?sr320
This document summarizes a presentation on whether DNA methylation facilitates phenotypic plasticity in marine invertebrates. The presentation notes that DNA methylation landscape and functions are different in non-vertebrates compared to vertebrates. Studies in the Pacific oyster show their genome is sparsely methylated, with methylation predominantly in transposable elements and gene bodies. Preliminary evidence suggests differentially methylated regions are most common in transposable elements. The presentation hypothesizes that DNA methylation may provide increased phenotypic diversity through transposable elements and response to environmental change, and the lab is beginning to test these hypotheses through studies on environmental impacts like ocean acidification.
This document introduces analyzing methylation data from Reduced Representation Bisulfite Sequencing (RRBS) experiments using the R package methylKit. It begins with an overview of basic R operations and data structures. Next, it discusses relevant genomics packages in Bioconductor like GenomicRanges and IRanges that are useful for working with genomic intervals. Finally, it demonstrates how to use methylKit to analyze RRBS methylation data, including working with annotated methylation events.
The role of DNA methylation in complex diseasesJordana Bell
A 1-hour lecture to 4th-year undergraduate and/or MSc students in human genetics, focusing on exploring the role of DNA methylation in human complex disease.
DNA methylation regulates gene expression and traits in the Pacific oyster. Researchers characterized DNA methylation in oysters using methylation sensitive PCR and bisulfite sequencing, finding that stress genes and genes with different regulatory needs have varying methylation levels. They are now using MBD-isolated genome sequencing to analyze methylation genome-wide and evaluate previous predictions of methylation status. Understanding DNA methylation's role in gene expression could improve selective breeding and hybrid vigor in oysters.
This document discusses the marriage of translational medicine and big data. It notes that predicting treatment response to known oncogenes like EGFR is complex and requires detailed understanding of genetic backgrounds. Networks can identify genes causal for disease. The approach uses probabilistic causal network models, with over 80 publications validating the scientific approach. Sage Bionetworks is building disease maps and data repositories through collaborations with industry, foundations, government and academia. Fundamentally, biological science hasn't changed due to omics but iterative networked approaches are needed to generate, analyze and support new disease models.
Complete Sequencing – Clifford Reid, PhD; CEO, Complete Genomics as presented at the Personalized Health Care Conference at Ohio State. Dr. Reid discussed what complete human sequencing looks like and costs now and in the near future.
Presentation of Eugeni Belda (LABGeM-Genoscope) at the Biocuration 2012 conference (Georgetown University, Washington DC): From bacterial genome annotation to metabolic pathway curation
Stephen Friend Fanconi Anemia Research Fund 2012-01-21Sage Base
This document summarizes Stephen Friend's presentation on using data intensive science and bionetworks to build better maps of human diseases. It discusses how collecting and integrating massive amounts of molecular and clinical data using open information systems and computing could enable the development of more comprehensive and probabilistic causal models of diseases. These evolving disease maps may help identify causal genes and pathways involved in various conditions. The presentation outlines Sage Bionetworks' mission to create a commons for scientists to collaborate on building and refining such integrative bionetworks to accelerate the elimination of human disease.
This document discusses epigenomics and bioinformatics approaches for profiling the epigenome. It notes that the lab has over 100 people working in areas like hardware engineering, mathematics, and molecular biology. It then summarizes different techniques for profiling the epigenome using next generation sequencing, including MBD-Seq to identify methylated regions and directional RNA-seq to study non-coding RNA and alternative splicing. Integrating these diverse datasets requires normalization methods and reference databases that are still being developed.
The document summarizes research on DNA methylation patterns and epigenetic regulation in the Pacific oyster. Results showed DNA methylation occurs in stress-related genes and may play a regulatory role in immune and stress responses. Understanding genetic and epigenetic influences could increase predictability in selective breeding of oysters. Further evaluating epigenetic mechanisms in bivalves using new methods like whole genome bisulfite sequencing may provide insights with implications for selective breeding, hybrid vigor, and how nutrition affects gene expression through DNA methylation.
The document discusses exploring disease networks and how science is performed through networked approaches. It describes how understanding disease requires integrating DNA, RNA, protein and molecular networks. It highlights the EGFR pathway example to show biomarkers can predict treatment response complexity. CETP inhibition example shows causal relationships are not always correlative. Networked approaches are needed to generate, analyze and support new models through data sharing to help understand disease mechanisms and save costs. Synapse is proposed as a platform to enable open sharing of clinical and genomic data as well as model building, similar to how software development occurs through tools like GitHub.
The role of DNA methylation in mediating the effects of estrogens in oystersmgavery
The document summarizes a study on the role of DNA methylation in mediating the effects of estrogens in oysters. The researchers exposed oysters to 17α ethinylestradiol (EE2) and analyzed phenotypes and DNA methylation patterns. Their results showed that EE2 exposure altered DNA methylation at 45 regions, skewed sex ratios toward females, and increased female oyster size. The differentially methylated regions were located in genes involved in processes like transport, cell organization, signaling and metabolism.
This document discusses analyzing genomic variation in Olympia oysters. It aims to generate useful files to annotate SNPs in a non-model species and develop a workflow for distinguishing synonymous and non-synonymous SNPs. The author used existing transcriptome data and over 52,000 SNPs to design RAD-Seq experiments and ask biological questions. Next steps are to determine if SNPs result in protein changes using Blastx and aachanges tools to compare SNPs to gene models.
The document describes the developmental stages of various mollusk specimens. Specimen R385 is female at stage 2 with both free and attached oocytes present. Specimen R371 is female at stage 1 with oogonia but no oocytes. Specimen R861 is female bordering stage 3 with oocytes in follicle centers and connective tissue. Specimen R819 is female at stage 3 with oocytes, hemocytes, and inflammation.
Epigenetics in context - M.Gavery's Summarymgavery
This document discusses the role of epigenetics in ecology and evolution. It addresses how epigenetic marks are inherited, reset, and influence phenotypic plasticity and responses to stress. Several model organisms are studied including plants, insects, fish and algae. Research presented includes studies on DNA methylation patterns in fish in response to heat shock, and variable phenotypes in dandelions and nectar yeast in response to stress. The role of transposons in establishing epigenetic patterns is discussed. Epigenetic marks can increase phenotypic variation in fluctuating environments and may allow faster adaptive changes by decoupling genotype from phenotype. Understanding both genetics and ecology is important for studying the role of epigenetics.
NSA Mar 2009: Prostaglandins in the Pacific oyster: Investigations into form ...mgavery
Researchers isolated and characterized molecules involved in the prostaglandin pathway in Pacific oysters. They obtained a full-length sequence for cyclooxygenase, the first reported in any bivalve species. Challenge experiments with the pathogen Vibrio tubiashii showed upregulation of the prostaglandin E2 receptor in hemocytes, indicating prostaglandins play a role in the oyster's immune response. Prostaglandin E2 was also detected in oyster hemolymph, further suggesting it functions in immune system signaling.
NSA Feb 2010: DNA Methylation Patterns & Epigenetic Regulation in the Pacific...mgavery
This document summarizes research characterizing DNA methylation patterns in the Pacific oyster. The researchers found evidence that DNA methylation plays a regulatory role in oysters, particularly for stress response and immune genes. Understanding these epigenetic influences could help improve selective breeding programs by increasing predictability of traits. Future work involves further evaluating DNA methylation using new techniques like whole genome bisulfite sequencing to better understand environmental impacts and the role of epigenetics in hybrid vigor in oysters.
This 3 sentence summary provides the key points about using Pacific oysters to monitor Puget Sound ecosystem health:
Pacific oysters are proposed as useful indicators because they are widely distributed and sessile, accumulating contaminants based on their local environment. A study called PROPS is using biomarkers like gene expression, stress responses, and epigenetic changes in oysters from sites of varying pollution levels to evaluate the indirect biological effects of stressors and characterize impacts on shellfish. Preliminary results suggest noradrenaline responses and epigenetic variability can provide information on ecosystem health across oyster populations in Puget Sound.
SAFS GSS Nov 2008: Characterization of prostaglandins in the Pacific oyster C...mgavery
This document summarizes research characterizing prostaglandins in the Pacific oyster Crassostrea gigas and their role in the oyster's immune response. The researcher identified gene fragments involved in prostaglandin biosynthesis, including a prostaglandin E2 receptor gene that is upregulated after exposure to the pathogen Vibrio tubiashii. Experiments exposing oysters and hemocytes to this pathogen found increased prostaglandin levels and receptor expression. This suggests prostaglandins play a role in the oyster's immune response. The researcher proposes further studies on how environmental stressors may affect prostaglandin regulation and physiology.
PAG Jan 2011: Epigenetic Regulation in the Pacific Oystermgavery
The document discusses research into epigenetic regulation via DNA methylation in the Pacific oyster. DNA methylation patterns can be influenced by the environment and passed to offspring. The researchers characterized DNA methylation in the oyster transcriptome and found genes involved in stress response tend to be hypomethylated while housekeeping genes are hypermethylated. They are investigating relationships between the environment, DNA methylation, and gene expression to better understand epigenetic responses to environmental change in oysters.
FISH 546 Mar 2010: Whole Genome Bisulfite Sequencing (feasibility trial)mgavery
The document discusses testing whether whole genome bisulfite sequencing (WGBS) can be used to discover methylated cytosines in non-model species with limited genomic resources. It describes conducting a feasibility trial using Atlantic salmon sequences as a surrogate for the oyster genome. Short reads were generated from the salmon sequences, converted to simulate bisulfite treatment, and assembled using various tools. The results showed it was difficult to map methylated regions due to the limited reference genome available. While WGBS may be possible, reduced representation or focusing the sequencing may be needed.
FISH 546 Mar 2010: Whole Genome Bisulfite Sequencing (feasibility trial)
Aquaculture 2013, Nashville TN
1. DNA methylation as a source of
epigenetic regulation in the Pacific oyster
(Crassostrea gigas)
Mackenzie Gavery & Steven Roberts
University of Washington, School of Aquatic and Fishery Sciences
2. Outline
Background
Epigenetics
DNA methylation
Results
Characterization of DNA
methylation in Pacific oysters
Discussion & Future Directions
3. Background
color disease resistance
growth
TRAITS
temperature
pathogens
nutrition
GENES (DNA)
ENVIRONMENT
4. Background
color disease resistance
growth
TRAITS
temperature
pathogens
nutrition
EPIGENOME
(DNA methylation)
GENES (DNA)
ENVIRONMENT
5. Background
color disease resistance
growth
TRAITS
temperature
pathogens
nutrition
EPIGENOME
(DNA methylation)
GENES (DNA)
ENVIRONMENT
9. DNA Methylation
Invertebrates?
Model invertebrates lack DNA methylation
Distribution & function unclear
Objectives:
Characterize DNA methylation in C. gigas
Gain an understanding of the functional role
11. Part 1
Approach
In silico analysis
Experimental analysis: MBD-Seq
12. Measured degree of DNA methylation
(Roberts & Gavery, 2011)
Enrichment level in MBD library
Part 1: Results
CpG O/E
(Gavery & Roberts, 2010)
Predicted degree of DNA methylation
13. Measured degree of DNA methylation
(Roberts & Gavery, 2011)
Enrichment level in MBD library
Part 1: Results
CpG O/E
(Gavery & Roberts, 2010)
Predicted degree of DNA methylation
14. Measured degree of DNA methylation
(Roberts & Gavery, 2011)
Enrichment level in MBD library
Part 1: Results
CpG O/E
(Gavery & Roberts, 2010)
Predicted degree of DNA methylation
15. Measured degree of DNA methylation
(Roberts & Gavery, 2011)
Enrichment level in MBD library
Part 1: Results
CpG O/E
(Gavery & Roberts, 2010)
Predicted degree of DNA methylation
37. Part 3: Results
>200,000 regions were evaluated
DMR
7%
methylation
same across
tissues
93%
38. Part 3: Results
>200,000 regions were evaluated
half of DMR in gene
DMR
bodies
7%
genes with DMR had
significantly less
methylation
methylation
same across
tissues
93%
45. Summary
methylated unmethylated
Gene function: housekeeping inducible
Expression: high low
Tissue specific
methylation:
46. Summary
methylated unmethylated
Gene function: housekeeping inducible
Expression: high low
Tissue specific conserved
tissue specific
methylation: across tissues
47. Summary
methylated unmethylated
Gene function: housekeeping inducible
Expression: high low
Tissue specific conserved
tissue specific
methylation: across tissues
Role of methylation
in introns:
48. Summary
methylated unmethylated
Gene function: housekeeping inducible
Expression: high low
Tissue specific conserved
tissue specific
methylation: across tissues
Role of methylation unknown
in introns:
49. Summary
methylated unmethylated
Gene function: housekeeping inducible
Expression: high low
Tissue specific conserved
tissue specific
methylation: across tissues
Role of methylation unknown
in introns:
Role of methylation in
inter-genic regions:
50. Summary
methylated unmethylated
Gene function: housekeeping inducible
Expression: high low
Tissue specific conserved
tissue specific
methylation: across tissues
Role of methylation unknown
in introns:
Role of methylation in unknown
inter-genic regions:
52. Next Steps
Explore relationships between DNA methylation and
alternative splicing
Annotate intergenic regions of the C. gigas genome
EPIGENOME
(DNA methylation)
GENES (DNA)
54. Conclusions
color disease resistance
growth
TRAITS
temperature
pathogens
nutrition
EPIGENOME
(DNA methylation)
GENES (DNA)
ENVIRONMENT
55. Acknowledgements
Roberts Lab:
Samuel White
Caroline Storer
Emma Timmins-Schiffman
Claire Ellis
Lisa Crosson
Taylor Shellfish:
Jonathan Davis
Molly Jackson
email: mgavery@uw.edu
website: students.washington.edu/mgavery