Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26169798
&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215
Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26169798
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Genomics+Proteomics+Bioinformatics
2015 ; 13
(3
): 159-68
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Regulatory microRNA networks: complex patterns of target pathways for
disease-related and housekeeping microRNAs
#MMPMID26169798
Zafari S
; Backes C
; Leidinger P
; Meese E
; Keller A
Genomics Proteomics Bioinformatics
2015[Jun]; 13
(3
): 159-68
PMID26169798
show ga
Blood-based microRNA (miRNA) signatures as biomarkers have been reported for
various pathologies, including cancer, neurological disorders, cardiovascular
diseases, and also infections. The regulatory mechanism behind respective miRNA
patterns is only partially understood. Moreover, "preserved" miRNAs, i.e., miRNAs
that are not dysregulated in any disease, and their biological impact have been
explored to a very limited extent. We set out to systematically determine their
role in regulatory networks by defining groups of highly-dysregulated miRNAs that
contribute to a disease signature as opposed to preserved housekeeping miRNAs. We
further determined preferential targets and pathways of both dysregulated and
preserved miRNAs by computing multi-layer networks, which were compared between
housekeeping and dysregulated miRNAs. Of 848 miRNAs examined across 1049 blood
samples, 8 potential housekeepers showed very limited expression variations,
while 20 miRNAs showed highly-dysregulated expression throughout the investigated
blood samples. Our approach provides important insights into miRNAs and their
role in regulatory networks. The methodology can be applied to systematically
investigate the differences in target genes and pathways of arbitrary miRNA sets.