Ribosome Profiling Reveals Translational Control During the Caulobacter crescentus cell cycle
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ABSTRACT:
ORGANISM(S): Caulobacter vibrioides NA1000
PROVIDER: GSE68200 | GEO | 2016/04/20
SECONDARY ACCESSION(S): PRJNA282016
REPOSITORIES: GEO
Similar Datasets
Project description:Caulobacter crescentus undergoes an asymmetric cell division controlled by a genetic circuit that cycles in space and time. We provide a universal strategy for defining the coding potential of bacterial genomes by applying ribosome profiling, RNA-seq, global 5’-RACE, and liquid chromatography coupled with tandem mass spectrometry (LC-MS) data to the 4-megabase C. crescentus genome. We mapped transcript units at single base-pair resolution using RNA-seq together with global 5’ RACE. Additionally, using ribosome profiling and LC-MS, we mapped translation start sites and coding regions with near complete coverage. We found most start codons lacked corresponding Shine-Dalgarno sites although ribosomes were observed to pause at internal Shine-Dalgarno sites within the ORF. These data suggest a more prevalent use of the Shine-Dalgarno sequence for ribosome pausing rather than translation initiation in C. crescentus. Overall 19% of the transcribed and translated genomic elements were newly identified or significantly improved by this approach providing a valuable genomic resource to elucidate the complete C. crescentus genetic circuitry that controls asymmetric cell division. Ribosome profiling and RNA-seq data were collected in Caulobacter crescentus NA1000 cells grown in M2G and PYE media to map transcript and ORF features in the genome.
2014-05-29 | E-GEOD-54883 | biostudies-arrayexpress
Project description:This study aims to investigate the dysregulation of RNA translation and identify functional non-canonical open reading frames (ORFs) as potential targets for medulloblastoma treatment. The study involves ribosome profiling and RNAseq of medulloblastoma tissues and cell lines to observe the translation of non-canonical ORFs. Multiple CRISPR-Cas9 screens will be used to identify functional non-canonical ORFs implicated in medulloblastoma cell survival.
| EGAD00001011193 | EGA
Project description:This study aims to investigate the dysregulation of RNA translation and identify functional non-canonical open reading frames (ORFs) as potential targets for medulloblastoma treatment. The study involves ribosome profiling and RNAseq of medulloblastoma tissues and cell lines to observe the translation of non-canonical ORFs. Multiple CRISPR-Cas9 screens will be used to identify functional non-canonical ORFs implicated in medulloblastoma cell survival.
| EGAD00001011192 | EGA
Project description:This a model from the article:
A Quantitative Study of the Division Cycle of Caulobacter crescentus Stalked Cells.
Shenghua Li, Paul Brazhnik, Bruno Sobral, John J. Tyson PLoS Comput Biol
2008 Jan 25:4(1): e9 18225942
,
Abstract:
Progression of a cell through the division cycle is tightly controlled at different steps to ensure the integrity of genome
replication and partitioning to daughter cells. From published experimental evidence, we propose a molecular
mechanism for control of the cell division cycle in Caulobacter crescentus. The mechanism, which is based on the
synthesis and degradation of three ‘‘master regulator’’ proteins (CtrA, GcrA, and DnaA), is converted into a quantitative
model, in order to study the temporal dynamics of these and other cell cycle proteins. The model accounts for
important details of the physiology, biochemistry, and genetics of cell cycle control in stalked C. crescentus cell. It
reproduces protein time courses in wild-type cells, mimics correctly the phenotypes of many mutant strains, and
predicts the phenotypes of currently uncharacterized mutants. Since many of the proteins involved in regulating the
cell cycle of C. crescentus are conserved among many genera of a-proteobacteria, the proposed mechanism may be
applicable to other species of importance in agriculture and medicine.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2018-11-07 | BIOMD0000000718 | BioModels
Project description:The Caulobacter cell cycle includes in an asymmetric cell division that is driven by a core regulatory circuit comprised of 4 transcription factors (DnaA, GcrA, CtrA, and SciP) and a DNA methyltransferase (CcrM). Using a modified global 5M-bM-^@M-^Y RACE protocol we mapped 2,726 transcriptional start sites (TSS) in the 4mb Caulobacter genome and identified 586 cell cycle-regulated TSS. The core cell cycle circuit directly controls about 55% of cell cycle-regulated TSS by integrating multiple regulatory inputs within at least 322 promoters, providing a large number of transcription profiles from a small number of regulatory factors. Here, we identified previously unknown features of the core cell cycle circuit, including antisense TSS within dnaA and ctrA, plus newly identified TSS for ctrA and ccrM. Altogether, we identified 615 antisense TSS plus 241 genes that are transcribed from multiple TSS. The multiple TSS in the same promoter region often exhibit different cell cycle activation timing, These novel features of the global transcript profile add significant insight to the system architecture of the Caulobacter cell cycle regulatory circuit. Global 5' RACE was performed to measure Transcription Start Site activity at time points of the Caulobacter NA1000 cell cycle
2014-10-16 | E-GEOD-57364 | biostudies-arrayexpress
Project description:The Caulobacter cell cycle includes in an asymmetric cell division that is driven by a core regulatory circuit comprised of 4 transcription factors (DnaA, GcrA, CtrA, and SciP) and a DNA methyltransferase (CcrM). Using a modified global 5M-bM-^@M-^Y RACE protocol we mapped 2,726 transcriptional start sites (TSS) in the 4mb Caulobacter genome and identified 586 cell cycle-regulated TSS. The core cell cycle circuit directly controls about 55% of cell cycle-regulated TSS by integrating multiple regulatory inputs within at least 322 promoters, providing a large number of transcription profiles from a small number of regulatory factors. Here, we identified previously unknown features of the core cell cycle circuit, including antisense TSS within dnaA and ctrA, plus newly identified TSS for ctrA and ccrM. Altogether, we identified 615 antisense TSS plus 241 genes that are transcribed from multiple TSS. The multiple TSS in the same promoter region often exhibit different cell cycle activation timing, These novel features of the global transcript profile add significant insight to the system architecture of the Caulobacter cell cycle regulatory circuit. Global 5' RACE was performed to map Transcription Start Sites in the Caulobacter NA1000 genome
2014-10-16 | E-GEOD-57365 | biostudies-arrayexpress
Project description:Ribosome Profiling Reveals Translational Control During the Caulobacter crescentus cell cycle
| PRJNA282016 | ENA
Project description:A cell synchronization protocol was established in which global and individual mRNA translational efficiencies could be examined. While global translational efficiency was reduced in mitotic cells, approximately 3% of mRNAs remained predominantly associated with large polysomes during mitosis, as determined by cDNA microarray analyses. The 5 noncoding regions of six mRNAs were shown to contain internal ribosome entry sites (IRES). However, not all known mRNAs that contain IRES elements were actively translated during mitosis, arguing that specific IRES sequences are differentially regulated during mitosis. A cell cycle design experiment design type is one that assays events that occurs in relation to the cell cycle, which is the period between the formation of a cell, by division of its mother cell and the time when the cell itself divides to form two daughter cells. User Defined
2005-12-30 | E-GEOD-3957 | biostudies-arrayexpress
Project description:This a model from the article:
A Data-Driven, Mathematical Model of Mammalian Cell Cycle Regulation.
Michael C. Weis, Jayant Avva, James W. Jacobberger, Sree N. Sreenath PLoS ONE
2014 May 13: 9(5): e97130 24824602
,
Abstract:
Progression of a cell through the division cycle is tightly controlled at different steps to ensure the integrity of genome
replication and partitioning to daughter cells. From published experimental evidence, we propose a molecular
mechanism for control of the cell division cycle in Caulobacter crescentus. The mechanism, which is based on the
synthesis and degradation of three ‘‘master regulator’’ proteins (CtrA, GcrA, and DnaA), is converted into a quantitative
model, in order to study the temporal dynamics of these and other cell cycle proteins. The model accounts for
important details of the physiology, biochemistry, and genetics of cell cycle control in stalked C. crescentus cell. It
reproduces protein time courses in wild-type cells, mimics correctly the phenotypes of many mutant strains, and
predicts the phenotypes of currently uncharacterized mutants. Since many of the proteins involved in regulating the
cell cycle of C. crescentus are conserved among many genera of a-proteobacteria, the proposed mechanism may be
applicable to other species of importance in agriculture and medicine.
In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not..
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2018-11-22 | BIOMD0000000723 | BioModels
Project description:The Caulobacter cell cycle includes in an asymmetric cell division that is driven by a core regulatory circuit comprised of 4 transcription factors (DnaA, GcrA, CtrA, and SciP) and a DNA methyltransferase (CcrM). Using a modified global 5’ RACE protocol we mapped 2,726 transcriptional start sites (TSS) in the 4mb Caulobacter genome and identified 586 cell cycle-regulated TSS. The core cell cycle circuit directly controls about 55% of cell cycle-regulated TSS by integrating multiple regulatory inputs within at least 322 promoters, providing a large number of transcription profiles from a small number of regulatory factors. Here, we identified previously unknown features of the core cell cycle circuit, including antisense TSS within dnaA and ctrA, plus newly identified TSS for ctrA and ccrM. Altogether, we identified 615 antisense TSS plus 241 genes that are transcribed from multiple TSS. The multiple TSS in the same promoter region often exhibit different cell cycle activation timing, These novel features of the global transcript profile add significant insight to the system architecture of the Caulobacter cell cycle regulatory circuit.
2014-10-16 | GSE57365 | GEO