PMID- 25522158
OWN - NLM
STAT- MEDLINE
DCOM- 20150817
LR  - 20181113
IS  - 1471-2164 (Electronic)
IS  - 1471-2164 (Linking)
VI  - 15 Suppl 9
IP  - Suppl 9
DP  - 2014
TI  - Transcriptome alterations of mitochondrial and coagulation function in 
      schizophrenia by cortical sequencing analysis.
PG  - S6
LID - 10.1186/1471-2164-15-S9-S6 [doi]
AB  - BACKGROUND: Transcriptome sequencing of brain samples provides detailed 
      enrichment analysis of differential expression and genetic interactions for 
      evaluation of mitochondrial and coagulation function of schizophrenia. It is 
      implicated that schizophrenia genetic and protein interactions may give rise to 
      biological dysfunction of energy metabolism and hemostasis. These findings may 
      explain the biological mechanisms responsible for negative and withdraw symptoms 
      of schizophrenia and antipsychotic-induced venous thromboembolism. RESULTS: 
      Published BA22 RNA-Seq brain data of 9 schizophrenic patients and 9 controls 
      samples were analyzed. The differentially expressed genes in the BA22 brain 
      samples of schizophrenia are proposed as schizophrenia candidate marker genes 
      (SCZCGs). The genetic interactions between mitochondrial genes and many 
      under-expressed SCZCGs indicate the genetic predisposition of mitochondria 
      dysfunction in schizophrenia. The biological functions of SCZCGs, as listed in 
      the Pathway Interaction Database (PID), indicate that these genes have roles in 
      DNA binding transcription factor, signal and cancer-related pathways, coagulation 
      and cell cycle regulation and differentiation pathways. CONCLUSIONS: It is 
      implicated that the energy metabolism and hemostatic process have important roles 
      in the pathogenesis for schizophrenia. The cross-talk of genetic interaction by 
      these co-expressed genes and reached candidate genes may address the key network 
      in disease pathology. The accuracy of candidate genes evaluated from different 
      quantification tools could be improved by crosstalk analysis of overlapping genes 
      in genetic networks.
FAU - Huang, Kuo-Chuan
AU  - Huang KC
FAU - Yang, Ko-Chun
AU  - Yang KC
FAU - Lin, Han
AU  - Lin H
FAU - Tsao, Theresa Tsun-Hui
AU  - Tsao TT
FAU - Lee, Sheng-An
AU  - Lee SA
LA  - eng
PT  - Journal Article
DEP - 20141208
PL  - England
TA  - BMC Genomics
JT  - BMC genomics
JID - 100965258
RN  - 0 (RNA, Messenger)
SB  - IM
MH  - *Blood Coagulation
MH  - Brain/*metabolism/pathology
MH  - Case-Control Studies
MH  - Cluster Analysis
MH  - Gene Regulatory Networks
MH  - Genetic Predisposition to Disease
MH  - Humans
MH  - Mitochondria/*genetics
MH  - Protein Interaction Mapping
MH  - RNA, Messenger/genetics/metabolism
MH  - Schizophrenia/*genetics/pathology/*physiopathology
MH  - Sequence Alignment
MH  - *Sequence Analysis, RNA
MH  - *Transcriptome
PMC - PMC4290619
EDAT- 2014/12/19 06:00
MHDA- 2015/08/19 06:00
PMCR- 2014/12/08
CRDT- 2014/12/19 06:00
PHST- 2014/12/19 06:00 [entrez]
PHST- 2014/12/19 06:00 [pubmed]
PHST- 2015/08/19 06:00 [medline]
PHST- 2014/12/08 00:00 [pmc-release]
AID - 1471-2164-15-S9-S6 [pii]
AID - 10.1186/1471-2164-15-S9-S6 [doi]
PST - ppublish
SO  - BMC Genomics. 2014;15 Suppl 9(Suppl 9):S6. doi: 10.1186/1471-2164-15-S9-S6. Epub 
      2014 Dec 8.