Download Robust Gene Dys-Regulation in Alzheimer`s Brains

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Epigenetics of diabetes Type 2 wikipedia , lookup

NEDD9 wikipedia , lookup

Epigenetics in learning and memory wikipedia , lookup

Gene therapy wikipedia , lookup

Gene desert wikipedia , lookup

Neuronal ceroid lipofuscinosis wikipedia , lookup

Long non-coding RNA wikipedia , lookup

Polycomb Group Proteins and Cancer wikipedia , lookup

Therapeutic gene modulation wikipedia , lookup

Site-specific recombinase technology wikipedia , lookup

Pathogenomics wikipedia , lookup

Essential gene wikipedia , lookup

History of genetic engineering wikipedia , lookup

Quantitative trait locus wikipedia , lookup

Gene expression programming wikipedia , lookup

Gene wikipedia , lookup

Genome evolution wikipedia , lookup

Genomic imprinting wikipedia , lookup

Microevolution wikipedia , lookup

Artificial gene synthesis wikipedia , lookup

Minimal genome wikipedia , lookup

Ridge (biology) wikipedia , lookup

Nutriepigenomics wikipedia , lookup

Public health genomics wikipedia , lookup

Biology and consumer behaviour wikipedia , lookup

Epigenetics of human development wikipedia , lookup

Designer baby wikipedia , lookup

Epigenetics of neurodegenerative diseases wikipedia , lookup

Gene expression profiling wikipedia , lookup

Genome (book) wikipedia , lookup

RNA-Seq wikipedia , lookup

Transcript
BCAS
Vol.28 No.4 2014
Life Science
Robust Gene Dys-Regulation in
Alzheimer’s Brains
R
ecently, a team of researchers led by Prof.
LEI Hongxing at the Beijing Institute
of Genomics (BIG), CAS achieved a
new breakthrough in their exploration into the
pathogenic mechanism of the Alzheimer’s disease,
a progressive neurodegenerative disorder occurring
in old age.
Treating and preventing Alzheimer’s disease
(AD) requires better understanding of the disease’s
pathogenic mechanism, for which the brain
transcriptome of AD offers some clues at the gene
expression level. So far, thousands of genes have
been reported to be dys-regulated in the brains
of patients suffering from AD. However, the
consistency or discrepancy among these studies has
not been thoroughly examined.
Towards this end, Prof. LEI Hongxing’s
lab at BIG conducted a comprehensive survey
of the brain transcriptome datasets for AD and
other neurological diseases. The researchers first
demonstrated that the frequency of observed dysregulation in AD was highly correlated with the
reproducibility of the dys-regulation. Based on
this observation, they selected 100 genes with the
highest frequency of dys-regulation to illustrate
the core perturbation in AD brains, and the dysregulation of these genes was validated in several
independent datasets for AD.
Further, they identified 12 genes whose gene
expression has strong correlation with disease progression.
The relevance of these genes to disease progression was
also validated in an independent dataset.
Also, the researchers found an intriguing transcriptional
“cushion” for these 100 selected genes in the visual cortex
region of the brain, which is less vulnerable to AD. This
“cushion” may be a critical component of the protection
mechanism for less vulnerable brain regions. In addition,
they proposed the critical roles of several transcription
regulators, especially ZFP36L1.
310 Bulletin of the Chinese Academy of Sciences
The top 100 genes selected based on AD brain transcriptome.
The dys-regulation of each gene at the four major datasets
is indicated by colored banner below the gene ID (red for
up-regulation, green for down-regulation, yellow for mixed
perturbation, and gray for non-perturbation). The selected
100 genes are indicated by light green color. Other important
genes have been added to the map to enhance the functional
connections. (Image by LEI's group)
To facilitate the research in this field, Prof. LEI and
his team have developed a publicly accessible web server
“AlzBIG” (http://alz.big.ac.cn) to make the relevant
information available to the research community.