英国《Nature》目录要览:2010-04-01出版

时间:2010-04-02  阅读:    我要评论:

http://www.nature.com/nature/journal/v464/n7289/abs/nature08819.html
Article:
http://www.nature.com/nature/journal/v464/n7289/full/nature08819.html

Impaired hippocampal-prefrontal synchrony in a genetic mouse model of
schizophrenia    pp763-767
A deletion on human chromosome 22 (22q11.2) is one of the largest genetic
risk factors for schizophrenia. Mice with a corresponding deletion have
problems with working memory, one feature of schizophrenia. It is now found
that these mice also show disruptions in synchronous firing between neurons
of the prefrontal cortex and of the hippocampus, an electrophysiological
phenomenon that has been linked to learning and memory and which is also
thought to be disrupted in schizophrenia patients.
Torfi Sigurdsson et al.
doi:10.1038/nature08855
Abstract:
http://www.nature.com/nature/journal/v464/n7289/abs/nature08855.html
Article:
http://www.nature.com/nature/journal/v464/n7289/full/nature08855.html

Understanding mechanisms underlying human gene expression variation with RNA

sequencing    pp768-772
There is much interest in understanding the genetic mechanisms that underlie

individual variations in gene expression. Here, RNA sequencing has been used

to study gene expression in lymphoblastoid cell lines derived from Nigerian
individuals for whom extensive genotype information is known. Numerous
genetic
determinants of variation in gene expression were identified, including
variation in transcription, splicing and allele-specific expression.
Joseph K. Pickrell et al.
doi:10.1038/nature08872
Abstract:
http://www.nature.com/nature/journal/v464/n7289/abs/nature08872.html
Article:
http://www.nature.com/nature/journal/v464/n7289/full/nature08872.html

Transcriptome genetics using second generation sequencing in a Caucasian
population    pp773-777
Here, sequencing has been used to characterize the mRNA fraction of the
transcriptome in Caucasian individuals, to provide a fine-scale view of
transcriptomes and to identify genetic variants that affect alternative
splicing. Measuring allele-specific expression identified rare expression
quantitative trait loci (eQTLs) and allelic differences in transcript
structure, revealing new properties of genetic effects on the transcriptome.
Stephen B. Montgomery et al.
doi:10.1038/nature08903
Abstract:
http://www.nature.com/nature/journal/v464/n7289/abs/nature08903.html
Article:
http://www.nature.com/nature/journal/v464/n7289/full/nature08903.html

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来源:Nature  作者:Environmentor  (环境人 Environmentor.Cn

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