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Series GSE11087 Query DataSets for GSE11087
Status Public on Apr 08, 2008
Title E. coli Isoleucine starvation and stringent response network
Platform organisms Escherichia coli; Bacillus anthracis; Salmonella enterica subsp. enterica serovar Typhimurium str. LT2; Escherichia coli O157:H7 str. EDL933; Escherichia coli CFT073; Enterococcus faecalis V583; Bacteroides thetaiotaomicron VPI-5482; Escherichia coli O157:H7 str. Sakai; Escherichia coli str. K-12 substr. MG1655
Sample organism Escherichia coli str. K-12 substr. MG1655
Experiment type Expression profiling by array
Summary Transcription profiling of wild type, relA-, and relA-spoT-, crp-, dksA-, rpoS-, lrp- mutant strains of E. coli starved for isoleucine
Bacteria comprehensively reorganize their global gene expression when faced with nutrient exhaustion. In Escherichia coli and other free-living bacteria, the alarmone ppGpp facilitates this massive response by directly or indirectly coordinating the down-regulation of genes of the translation apparatus, and the induction of biosynthetic genes and the general stress response. Such a large reorientation likely requires the cooperative activities of many different genetic regulators, yet the structure of the transcription network below the level of ppGpp remains poorly defined. Using isoleucine starvation as an experimental model system for amino acid starvation, we identified genes that required ppGpp, Lrp, and RpoS for their induction. Surprisingly, despite the fact that the overwhelming majority of genes controlled by Lrp and RpoS required ppGpp for their activation, we found that these two regulons were not induced simultaneously. The data reported here suggest that metabolic genes, such as those of the Lrp regulon, require only a low basal level of ppGpp for their efficient induction. In contrast, the RpoS-dependent general stress response is not robustly induced until relatively high levels of ppGpp accumulate. Here we describe a data-driven conceptual model that explains how bacterial cells allocate transcriptional resources between metabolic and stress survival processes by discretely tuning regulatory activities to a central indicator of cellular physiology. The regulatory structure that emerges is consistent with a rheostatic model of the stringent response that allows cells to efficiently adapt to a wide range of nutritional environments.
Keywords: genetic modification design; stress response; isoleucine starvation
 
Overall design Two experiments were run.
First experiment: WT and several mutant strains were starved for isoleucine (exhaustion of 60 uM ile). 40 minutes after starvation, RNA was extracted. All samples were compared to RNA from rapidly growing WT cells in identical medium replete with isoleucine (400 uM). 16 samples were hybridized: duplicates of 8 strains/conditions. Wildtype in log phase (OD = 0.4) with replete ile was control for ile starved samples.
Second experiment: WT strain was starved for isoleucine (exhaustion of 60 uM ile). RNA was extracted at 12 timepoints as the cells entered stationary phase. All samples were compared to RNA from rapidly growing WT cells in identical medium replete with isoleucine (400 uM). 14 samples were hybridized: duplicates of the control condition and single timepoints during starvation. Wildtype in log phase (OD = 0.4) with replete ile was control for ile starved samples.
 
Contributor(s) Traxler M, Grissom J, Conway T
Citation(s) 18430135, 21299642
Submission date Apr 07, 2008
Last update date Mar 08, 2019
Contact name Tyrrell Conway
E-mail(s) tconway@ou.edu
Organization name University of Oklahoma
Department Advanced Center for Genome Technology
Street address 101 David L. Boren Blvd.
City Norman
State/province OK
ZIP/Postal code 73019
Country USA
 
Platforms (2)
GPL3154 [E_coli_2] Affymetrix E. coli Genome 2.0 Array
GPL6702 Affymetrix Custom Array - enterocha520147F
Samples (30)
GSM280103 Ecoli WT +ile rep2
GSM280104 Ecoli WT +ile rep1
GSM280105 Ecoli relAspoT -ile rep1
Relations
BioProject PRJNA107079

Log ratios header descriptions
GENE Gene name
LOCUS_TAG locus tag
PROBESETS Affymetrix probeset name in array description file
WT log2 ratio of averaged replicates of WT_ILE*/E-COLI*
relA log2 ratio of averaged replicates of RELA_*_ILE/E-COLI*
relAspoT log2 ratio of averaged replicates of RELASPOT_*_ILE/E-COLI*

Data table
GENE LOCUS_TAG PROBESETS WT relA relAspoT
thrL b0001 EDL933_Z0001_thrL_x_at 1.379 0.264 -0.23
thrA b0002 K-12_b0002_thrA_s_at 1.248 -0.101 -0.464
thrB b0003 K-12_b0003_thrB_s_at 1.1 -0.317 -0.673
thrC b0004 K-12_b0004_thrC_s_at 0.84 -0.101 -0.84
yaaX b0005 K-12_b0005_yaaX_s_at -1.009 0.244 1.141
yaaA b0006 K-12_b0006_yaaA_s_at 0.146 -0.474 -0.259
yaaJ b0007 K-12_b0007_yaaJ_s_at -0.091 -0.279 -0.409
talB b0008 K-12_b0008_talB_s_at 0.85 -0.228 -0.211
mog b0009 K-12_b0009_mog_s_at -0.134 1.047 1.602
yaaH b0010 K-12_b0010_yaaH_s_at -0.046 1.885 2.319
yaaW b0011 K-12_b0011_yaaW_s_at 0.137 0.616 0.054
htgA b0012 K-12_b0012_htgA_s_at -0.034 0.612 0.133
yaaI b0013 K-12_b0013_yaaI_s_at -0.174 -0.436 -0.244
dnaK b0014 K-12_b0014_dnaK_s_at -0.834 -0.024 -0.017
dnaJ b0015 K-12_b0015_dnaJ_s_at -1.172 0.547 0.67
mokC b0018 EDL933_Z0016_gef_s_at 0.338 0.216 0.414
nhaA b0019 K-12_b0019_nhaA_s_at 0.475 0.996 0.65
nhaR b0020 K-12_b0020_nhaR_s_at 0.627 1.132 1.06
rpsT b0023 K-12_b0023_rpsT_s_at -2.573 -0.528 0.484
yaaY b0024 K-12_b0024_yaaY_s_at 0.227 0.941 0.225

Total number of rows: 5610

Table truncated, full table size 288 Kbytes.




Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE11087_Matrix_GPL3154.txt.gz 388.9 Kb (ftp)(http) TXT
GSE11087_Matrix_GPL6702.txt.gz 271.8 Kb (ftp)(http) TXT
GSE11087_RAW.tar 50.2 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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