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result(s) for
"Joseph, R"
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Dynamic DNA methylation reconfiguration during seed development and germination
by
Castanon, Rosa
,
Kawakatsu, Taiji
,
Nery, Joseph R.
in
Animal Genetics and Genomics
,
animals
,
Arabidopsis - genetics
2017
Background
Unlike animals, plants can pause their life cycle as dormant seeds. In both plants and animals, DNA methylation is involved in the regulation of gene expression and genome integrity. In animals, reprogramming erases and re-establishes DNA methylation during development. However, knowledge of reprogramming or reconfiguration in plants has been limited to pollen and the central cell. To better understand epigenetic reconfiguration in the embryo, which forms the plant body, we compared time-series methylomes of dry and germinating seeds to publicly available seed development methylomes.
Results
Time-series whole genome bisulfite sequencing reveals extensive gain of CHH methylation during seed development and drastic loss of CHH methylation during germination. These dynamic changes in methylation mainly occur within transposable elements. Active DNA methylation during seed development depends on both RNA-directed DNA methylation and heterochromatin formation pathways, whereas global demethylation during germination occurs in a passive manner. However, an active DNA demethylation pathway is initiated during late seed development.
Conclusions
This study provides new insights into dynamic DNA methylation reprogramming events during seed development and germination and suggests possible mechanisms of regulation. The observed sequential methylation/demethylation cycle suggests an important role of DNA methylation in seed dormancy.
Journal Article
The Great Wall of China
Explores the construction and historical impact of the Great Wall of China.
Mapping genome-wide transcription-factor binding sites using DAP-seq
2017
This protocol describes DAP-seq, a transcription-factor binding site discovery assay that can be used to produce cistrome and epicistrome maps for any organism.
To enable low-cost, high-throughput generation of cistrome and epicistrome maps for any organism, we developed DNA affinity purification sequencing (DAP-seq), a transcription factor (TF)-binding site (TFBS) discovery assay that couples affinity-purified TFs with next-generation sequencing of a genomic DNA library. The method is fast, inexpensive, and more easily scaled than chromatin immunoprecipitation sequencing (ChIP-seq). DNA libraries are constructed using native genomic DNA from any source of interest, preserving cell- and tissue-specific chemical modifications that are known to affect TF binding (such as DNA methylation) and providing increased specificity as compared with
in silico
predictions based on motifs from methods such as protein-binding microarrays (PBMs) and systematic evolution of ligands by exponential enrichment (SELEX). The resulting DNA library is incubated with an affinity-tagged
in vitro
-expressed TF, and TF–DNA complexes are purified using magnetic separation of the affinity tag. Bound genomic DNA is eluted from the TF and sequenced using next-generation sequencing. Sequence reads are mapped to a reference genome, identifying genome-wide binding locations for each TF assayed, from which sequence motifs can then be derived. A researcher with molecular biology experience should be able to follow this protocol, processing up to 400 samples per week.
Journal Article
The Bolshevik Revolution
by
O'Neill, Joseph R
in
Russia Politics and government 1894-1917 Juvenile literature.
,
Soviet Union History Revolution, 1917-1921 Juvenile literature.
,
Russia Politics and government 1894-1917.
2009
Explore the events leading up to the Russian Revolution and see what effect it had on the rest of the 20th century.
A transcription factor hierarchy defines an environmental stress response network
by
Castanon, Rosa
,
Huang, Shao-shan Carol
,
Wise, Aaron
in
Abscisic Acid - metabolism
,
Abscisic Acid - pharmacology
,
Arabidopsis - drug effects
2016
To respond to environmental changes, such as drought, plants must regulate numerous cellular processes. Working in the model plant Arabidopsis , Song et al. profiled the binding of 21 transcription factors to chromatin and mapped the complex gene regulatory networks involved in the response to the plant hormone abscisic acid. The work provides a framework for understanding and modulating plant responses to stress. Science , this issue p. 598 The response to the abscisic acid hormone in the model plant Arabidopsis involves complex transcription factor dynamics. Environmental stresses are universally encountered by microbes, plants, and animals. Yet systematic studies of stress-responsive transcription factor (TF) networks in multicellular organisms have been limited. The phytohormone abscisic acid (ABA) influences the expression of thousands of genes, allowing us to characterize complex stress-responsive regulatory networks. Using chromatin immunoprecipitation sequencing, we identified genome-wide targets of 21 ABA-related TFs to construct a comprehensive regulatory network in Arabidopsis thaliana . Determinants of dynamic TF binding and a hierarchy among TFs were defined, illuminating the relationship between differential gene expression patterns and ABA pathway feedback regulation. By extrapolating regulatory characteristics of observed canonical ABA pathway components, we identified a new family of transcriptional regulators modulating ABA and salt responsiveness and demonstrated their utility to modulate plant resilience to osmotic stress.
Journal Article
The Irish potato famine
by
O'Neill, Joseph R
in
Famines Ireland History 19th century Juvenile literature.
,
Famines.
,
Ireland History Famine, 1845-1852 Juvenile literature.
2009
Examines the Irish potato famine and its effect upon the Irish and their society.
Simultaneous profiling of 3D genome structure and DNA methylation in single human cells
2019
Dynamic three-dimensional chromatin conformation is a critical mechanism for gene regulation during development and disease. Despite this, profiling of three-dimensional genome structure from complex tissues with cell-type specific resolution remains challenging. Recent efforts have demonstrated that cell-type specific epigenomic features can be resolved in complex tissues using single-cell assays. However, it remains unclear whether single-cell chromatin conformation capture (3C) or Hi-C profiles can effectively identify cell types and reconstruct cell-type specific chromatin conformation maps. To address these challenges, we have developed single-nucleus methyl-3C sequencing to capture chromatin organization and DNA methylation information and robustly separate heterogeneous cell types. Applying this method to >4,200 single human brain prefrontal cortex cells, we reconstruct cell-type specific chromatin conformation maps from 14 cortical cell types. These datasets reveal the genome-wide association between cell-type specific chromatin conformation and differential DNA methylation, suggesting pervasive interactions between epigenetic processes regulating gene expression.
Journal Article
Integration of omic networks in a developmental atlas of maize
by
Wu, Kevin J.
,
Schnable, James C.
,
Smith, Laurie G.
in
Corn
,
Gene expression
,
Gene Regulatory Networks
2016
Coexpression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting functional roles of individual genes at a system-wide scale. To enable network reconstructions, we built a large-scale gene expression atlas composed of 62,547 messenger RNAs (mRNAs), 17,862 nonmodified proteins, and 6227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. Networks in which nodes are genes connected on the basis of highly correlated expression patterns of mRNAs were very different from networks that were based on coexpression of proteins. Roughly 85% of highly interconnected hubs were not conserved in expression between RNA and protein networks. However, networks from either data type were enriched in similar ontological categories and were effective in predicting known regulatory relationships. Integration of mRNA, protein, and phosphoprotein data sets greatly improved the predictive power of GRNs.
Journal Article