Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Predicting the strength of UP-elements and full-length E. coli σE promoters.

Virgil A Rhodius | Vivek K Mutalik | Carol A Gross
Nucleic acids research | 2012

Predicting the location and strength of promoters from genomic sequence requires accurate sequenced-based promoter models. We present the first model of a full-length bacterial promoter, encompassing both upstream sequences (UP-elements) and core promoter modules, based on a set of 60 promoters dependent on σ(E), an alternative ECF-type σ factor. UP-element contribution, best described by the length and frequency of A- and T-tracts, in combination with a PWM-based core promoter model, accurately predicted promoter strength both in vivo and in vitro. This model also distinguished active from weak/inactive promoters. Systematic examination of promoter strength as a function of RNA polymerase (RNAP) concentration revealed that UP-element contribution varied with RNAP availability and that the σ(E) regulon is comprised of two promoter types, one of which is active only at high concentrations of RNAP. Distinct promoter types may be a general mechanism for increasing the regulatory capacity of the ECF group of alternative σ's. Our findings provide important insights into the sequence requirements for the strength and function of full-length promoters and establish guidelines for promoter prediction and for forward engineering promoters of specific strengths.

Pubmed ID: 22156164

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM057755
  • Agency: NIGMS NIH HHS, United States
    Id: GM57755

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Statistics Calculator (tool)

RRID:SCR_013827

A set of many statistics calculators, including a confidence interval calculator.

View all literature mentions

ImageQuant (tool)

RRID:SCR_014246

Software for automatic general image analysis. It provides fully automatic analysis of 1-D gels including lane creation, background subtraction, band detection, molecular weight calibration, quantity calibration, and normalization. Editing tools are provided for cropping, rotating, and filtering images.

View all literature mentions