PMID- 24013422
OWN - NLM
STAT- MEDLINE
DCOM- 20140418
LR  - 20211021
IS  - 1551-4005 (Electronic)
IS  - 1538-4101 (Print)
IS  - 1551-4005 (Linking)
VI  - 12
IP  - 19
DP  - 2013 Oct 1
TI  - Measurement and modeling of transcriptional noise in the cell cycle regulatory 
      network.
PG  - 3203-18
LID - 10.4161/cc.26257 [doi]
AB  - Fifty years of genetic and molecular experiments have revealed a wealth of 
      molecular interactions involved in the control of cell division. In light of the 
      complexity of this control system, mathematical modeling has proved useful in 
      analyzing biochemical hypotheses that can be tested experimentally. Stochastic 
      modeling has been especially useful in understanding the intrinsic variability of 
      cell cycle events, but stochastic modeling has been hampered by a lack of 
      reliable data on the absolute numbers of mRNA molecules per cell for cell cycle 
      control genes. To fill this void, we used fluorescence in situ hybridization 
      (FISH) to collect single molecule mRNA data for 16 cell cycle regulators in 
      budding yeast, Saccharomyces cerevisiae. From statistical distributions of 
      single-cell mRNA counts, we are able to extract the periodicity, timing, and 
      magnitude of transcript abundance during the cell cycle. We used these parameters 
      to improve a stochastic model of the cell cycle to better reflect the variability 
      of molecular and phenotypic data on cell cycle progression in budding yeast.
FAU - Ball, David A
AU  - Ball DA
AD  - Virginia Bioinformatics Institute; Virginia Tech; Blacksburg, VA USA.
FAU - Adames, Neil R
AU  - Adames NR
FAU - Reischmann, Nadine
AU  - Reischmann N
FAU - Barik, Debashis
AU  - Barik D
FAU - Franck, Christopher T
AU  - Franck CT
FAU - Tyson, John J
AU  - Tyson JJ
FAU - Peccoud, Jean
AU  - Peccoud J
LA  - eng
GR  - R01 GM078989/GM/NIGMS NIH HHS/United States
GR  - R01 GM095955/GM/NIGMS NIH HHS/United States
GR  - R01-GM078989/GM/NIGMS NIH HHS/United States
GR  - R01-GM095955/GM/NIGMS NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20130904
PL  - United States
TA  - Cell Cycle
JT  - Cell cycle (Georgetown, Tex.)
JID - 101137841
RN  - 0 (CLN2 protein, S cerevisiae)
RN  - 0 (Cyclins)
RN  - 0 (RNA, Messenger)
RN  - 0 (Saccharomyces cerevisiae Proteins)
SB  - IM
MH  - Cell Cycle Checkpoints
MH  - Cyclins/genetics/metabolism
MH  - Gene Regulatory Networks
MH  - In Situ Hybridization, Fluorescence
MH  - *Models, Biological
MH  - RNA, Messenger/metabolism
MH  - Saccharomyces cerevisiae/genetics/metabolism
MH  - Saccharomyces cerevisiae Proteins/genetics/metabolism
MH  - Transcription, Genetic
PMC - PMC3865016
OTO - NOTNLM
OT  - Saccharomycescerevisiae
OT  - cell cycle
OT  - gene expression noise
OT  - single mRNA FISH
OT  - stochastic modeling
EDAT- 2013/09/10 06:00
MHDA- 2014/04/20 06:00
PMCR- 2013/09/04
CRDT- 2013/09/10 06:00
PHST- 2013/09/10 06:00 [entrez]
PHST- 2013/09/10 06:00 [pubmed]
PHST- 2014/04/20 06:00 [medline]
PHST- 2013/09/04 00:00 [pmc-release]
AID - 26257 [pii]
AID - 2013CC4972R [pii]
AID - 10.4161/cc.26257 [doi]
PST - ppublish
SO  - Cell Cycle. 2013 Oct 1;12(19):3203-18. doi: 10.4161/cc.26257. Epub 2013 Sep 4.