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pmid:25741329

Characterization of the E. coli proteome and its modifications during growth and ethanol stress.

Boumediene Soufi · Karsten Krug · Andreas Harst · Boris Macek

Frontiers in microbiology · 2015 doi:10.3389/fmicb.2015.00103

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Experiment

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Data

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Analysis

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Characterization of the E. coli proteome and its modifications during growth and ethanol stress.
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10.3389/fmicb.2015.00103
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Boumediene Soufi
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Karsten Krug
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Andreas Harst
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Boris Macek
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Frontiers in microbiology
year
2015
abstract
We set out to provide a resource to the microbiology community especially with respect to systems biology based endeavors. To this end, we generated a comprehensive dataset monitoring the changes in protein expression, copy number, and post translational modifications in a systematic fashion during growth and ethanol stress in E. coli. We utilized high-resolution mass spectrometry (MS) combined with the Super-SILAC approach. In a single experiment, we have identified over 2300 proteins, which represent approximately 88% of the estimated expressed proteome of E. coli and estimated protein copy numbers using the Intensity Based Absolute Quantitation (iBAQ). The dynamic range of protein expression spanned up to six orders of magnitude, with the highest protein copy per cell estimated at approximately 300,000. We focused on the proteome dynamics involved during stationary phase growth. A global up-regulation of proteins related to stress response was detected in later stages of growth. We observed the down-regulation of the methyl directed mismatch repair system containing MutS and MutL of E. coli growing in long term growth cultures, confirming that higher incidence of mutations presents an important mechanism in the increase in genetic diversity and stationary phase survival in E. coli. During ethanol stress, known markers such as alcohol dehydrogenase and aldehyde dehydrogenase were induced, further validating the dataset. Finally, we performed unbiased protein modification detection and revealed changes of many known and unknown protein modifications in both experimental conditions. Data are available via ProteomeXchange with identifier PXD001648.
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To test whether specific annotation terms are enriched or depleted within a set of proteins of interest we applied Fisher's exact test using the theoretical E. coli proteome as background. Derived p-values were further adjusted to address multiple hypothesis testing using the method proposed by Benjamini and Hochberg (1995).
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sections[15] "Functional enrichment analysis" paragraph 2
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To test whether specific annotation terms are enriched or depleted within a set of proteins of interest we applied Fisher's exact test using the theoretical E. coli proteome as background. Derived p-values were further adjusted to address multiple hypothesis testing using the method proposed by Benjamini and Hochberg (1995).
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Using high-resolution mass spectrometry with Super-SILAC and iBAQ, the study identified over 2300 E. coli proteins—approximately 88% of the estimated expressed proteome—and made the source data available through ProteomeXchange under identifier PXD001648.
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In a single experiment, we have identified over 2300 proteins, which represent approximately 88% of the estimated expressed proteome of E. coli and estimated protein copy numbers using the Intensity Based Absolute Quantitation (iBAQ).
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In a single experiment, we have identified over 2300 proteins, which represent approximately 88% of the estimated expressed proteome of E. coli and estimated protein copy numbers using the Intensity Based Absolute Quantitation (iBAQ).
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Using high-resolution mass spectrometry with Super-SILAC and iBAQ, the study identified over 2300 E. coli proteins—approximately 88% of the estimated expressed proteome—and made the source data available through ProteomeXchange under identifier PXD001648.
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Characterization of the E.coli proteome and its modifications during growth and ethanol stress
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Frequent annotated modifications observed during growth and ethanol stress.
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