Host: Dr. Yu Tian Wang Speaker: Dr. Li - Huei Tsai, MIT Title: Alzheimer's disease:
from epigenomic networks to circuit mapping
DURECT Corp. is a biopharmaceutical company focused on two areas of active drug development: New therapeutics based on its proprietary drug delivery platforms and new chemical entities derived
from its epigenomic regulator program.
Not exact matches
Dr Simone Ottonello,
from the University of Parma, Italy says: «If extended to black truffles
from different geographic areas,
epigenomic analyses, such as the one described in this work, may shed light on the relationships between DNA methylation and transposon - mediated genome shaping, intraspecific variability and commercially relevant organoleptic traits such as aroma and color»
Epigenomic profiling of complex tissues obscures regulatory elements that distinguish one cell type
from another, researchers report.
In 2012, for example, Willerslev's lab published an analysis of proteins, which are generally longer lived postmortem than genetic material, of 43,000 - year - old woolly mammoth bones.16 And last year, Willerslev, Orlando, and colleagues published a genome - wide nucleosome map and survey of cytosine methylation levels in the DNA they pulled
from the 4,000 - year - old hair shafts of a Paleo - Eskimo, effectively launching the field of ancient epigenetics.17 Also last year, Pääbo's group at the Max Planck Institute for Evolutionary Anthropology published the first full DNA methylation maps of the Neanderthal and Denisovan genomes.18 «For the first time we'll be able to address what is the role of
epigenomics and epigenetics in evolution,» Willerslev says.
One of my favorite papers
from this year was the landmark publication of the NIH
Epigenomics Roadmap Consortium, which profiled 111 primary human tissues and cell types for histone modification patterns, DNA accessibility, DNA methylation, and gene expression.
Researchers are building a database of DNA sequence, functional and
epigenomic information, and clinical data
from studies on type 2 diabetes and its macro - and microvascular complications, and creating analytic tools to analyze these data.
Omics techniques employed in our group range
from whole genome sequencing and
epigenomic techniques, to single cell / single strand DNA sequencing (Strand - seq; see Figure 1), the latter of which enables haplotype - resolved studies of genetic variation and genome instability.
While genome and transcriptome data
from RNA - sequencing are the main data types that we analyze, the approaches are applicable to
epigenomic and other cellular data sets.
Dr. Vijayanand also oversees a large - scale effort to map
epigenomic modifications in more than a dozen different types of human immune cells
from normal individuals to understand how epigenetic variations cause susceptibility to disease.
Once finished, however, an
epigenomic map could also prove useful in determining which individuals are at risk for certain diseases and encouraging the kind of lifestyle changes that can prevent the wrong genes
from switching on or off.
Vijay also oversees a large - scale effort to map
epigenomic modifications in more than a dozen different types of human immune cells
from normal individuals to understand how epigenetic variations cause susceptibility to disease.
From genomic and epigenomic sequences from a subset of the populations, we see changes in methylation patterns between the evolved populations over-represented in some functional categories of genes, which is consistent with some of these differences being adapt
From genomic and
epigenomic sequences
from a subset of the populations, we see changes in methylation patterns between the evolved populations over-represented in some functional categories of genes, which is consistent with some of these differences being adapt
from a subset of the populations, we see changes in methylation patterns between the evolved populations over-represented in some functional categories of genes, which is consistent with some of these differences being adaptive.
Called the Center for
Epigenomics of the Mouse Brain Atlas (CEMBA), the project involves collecting information
from more than 100 regions of the mouse brain, and linking them to features believed to be common to mammalian nervous systems in general.