Упс
Оригинал взят у progenes в Упс
Вчені-іхтіологи також люди. Цитата з наукової статті про рибок.
Звідси, через.
Видимо, имеется в виду вот это: Association patterns of sailfin mollies (Poecilia latipinna): alternative hypotheses
и в качестве бонуса из комментов, еще упс:
BMC Syst Biol. 2011 Dec 23;5 Suppl 3:S4. doi: 10.1186/1752-0509-5-S3-S4. Epub
2011 Dec 23.
An integrative analysis of DNA methylation and RNA-Seq data for human heart,
kidney and liver.
Xie L(1), Weichel B, Ohm JE, Zhang K.
Author information:
(1)Department of Biochemistry and Molecular Biology, University of North Dakota
School of Medicine, Grand Forks, ND 58201, USA.
BACKGROUND: Many groups, including our own, have proposed the use of DNA
methylation profiles as biomarkers for various disease states. While much
research has been done identifying DNA methylation signatures in cancer vs.
normal etc., we still lack sufficient knowledge of the role that differential
methylation plays during normal cellular differentiation and tissue
specification. We also need thorough, genome level studies to determine the
meaning of methylation of individual CpG dinucleotides in terms of gene
expression.
RESULTS: In this study, we have used (insert statistical method here) to compile
unique DNA methylation signatures from normal human heart, lung, and kidney using
the Illumina Infinium 27 K methylation arrays and compared those to gene
expression by RNA sequencing. We have identified unique signatures of global DNA
methylation for human heart, kidney and liver, and showed that DNA methylation
data can be used to correctly classify various tissues. It indicates that DNA
methylation reflects tissue specificity and may play an important role in tissue
differentiation. The integrative analysis of methylation and RNA-Seq data showed
that gene methylation and its transcriptional levels were comprehensively
correlated. The location of methylation markers in terms of distance to
transcription start site and CpG island showed no effects on the regulation of
gene expression by DNA methylation in normal tissues.
CONCLUSIONS: This study showed that an integrative analysis of methylation array
and RNA-Seq data can be utilized to discover the global regulation of gene
expression by DNA methylation and suggests that DNA methylation plays an
important role in normal tissue differentiation via modulation of gene
expression.
PMCID: PMC3287572
PMID: 22784623 [PubMed - indexed for MEDLINE]
Вчені-іхтіологи також люди. Цитата з наукової статті про рибок.
Звідси, через.
Видимо, имеется в виду вот это: Association patterns of sailfin mollies (Poecilia latipinna): alternative hypotheses
и в качестве бонуса из комментов, еще упс:
BMC Syst Biol. 2011 Dec 23;5 Suppl 3:S4. doi: 10.1186/1752-0509-5-S3-S4. Epub
2011 Dec 23.
An integrative analysis of DNA methylation and RNA-Seq data for human heart,
kidney and liver.
Xie L(1), Weichel B, Ohm JE, Zhang K.
Author information:
(1)Department of Biochemistry and Molecular Biology, University of North Dakota
School of Medicine, Grand Forks, ND 58201, USA.
BACKGROUND: Many groups, including our own, have proposed the use of DNA
methylation profiles as biomarkers for various disease states. While much
research has been done identifying DNA methylation signatures in cancer vs.
normal etc., we still lack sufficient knowledge of the role that differential
methylation plays during normal cellular differentiation and tissue
specification. We also need thorough, genome level studies to determine the
meaning of methylation of individual CpG dinucleotides in terms of gene
expression.
RESULTS: In this study, we have used (insert statistical method here) to compile
unique DNA methylation signatures from normal human heart, lung, and kidney using
the Illumina Infinium 27 K methylation arrays and compared those to gene
expression by RNA sequencing. We have identified unique signatures of global DNA
methylation for human heart, kidney and liver, and showed that DNA methylation
data can be used to correctly classify various tissues. It indicates that DNA
methylation reflects tissue specificity and may play an important role in tissue
differentiation. The integrative analysis of methylation and RNA-Seq data showed
that gene methylation and its transcriptional levels were comprehensively
correlated. The location of methylation markers in terms of distance to
transcription start site and CpG island showed no effects on the regulation of
gene expression by DNA methylation in normal tissues.
CONCLUSIONS: This study showed that an integrative analysis of methylation array
and RNA-Seq data can be utilized to discover the global regulation of gene
expression by DNA methylation and suggests that DNA methylation plays an
important role in normal tissue differentiation via modulation of gene
expression.
PMCID: PMC3287572
PMID: 22784623 [PubMed - indexed for MEDLINE]