Difference between revisions of "Ribosome Binding Sites/Prokaryotic/Constitutive/Community Collection"

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===Predicted Strengths===
 
===Predicted Strengths===
 
135 RBS parts and 144 protein coding sequences from the Registry were analyzed. The sequence of each RBS part was placed in front of each coding sequence. The relative expression level of this RNA sequence was predicted using Howard Salis' RBS calculator (v1.0). At the same time, the likelihood that the RNA sequence is at equilibrium is also estimated. The predictions of the RBS calculator are most accurate when the RNA sequence is at or near equilibrium. Then, the mean translational activity of an RBS part over all protein coding sequences is calculated. This mean only includes the sequences that are estimated to be at equilibrium.  In the table above the mean strengths of the RBS parts is reported relative to BBa_B0034.  The coefficient of variation (CV, the ratio of the standard deviation to the mean across all coding regions tested) gives a measure of how likely the strength of the RBS is to vary depending on the sequence context in which the RBS is used.
 
135 RBS parts and 144 protein coding sequences from the Registry were analyzed. The sequence of each RBS part was placed in front of each coding sequence. The relative expression level of this RNA sequence was predicted using Howard Salis' RBS calculator (v1.0). At the same time, the likelihood that the RNA sequence is at equilibrium is also estimated. The predictions of the RBS calculator are most accurate when the RNA sequence is at or near equilibrium. Then, the mean translational activity of an RBS part over all protein coding sequences is calculated. This mean only includes the sequences that are estimated to be at equilibrium.  In the table above the mean strengths of the RBS parts is reported relative to BBa_B0034.  The coefficient of variation (CV, the ratio of the standard deviation to the mean across all coding regions tested) gives a measure of how likely the strength of the RBS is to vary depending on the sequence context in which the RBS is used.
 
 
 
 
 
 
 
 
 
 
 
 
    
 
    
 
===Other data===
 
===Other data===

Revision as of 16:56, 16 November 2008

RegistryRBSicon.png

Description

The Community RBS parts are suitable for general protein expression in E. coli or other prokaryotes. The family is known to cover a range of translation initiation rates so by testing a few family members it should be possible to find a protein expression level that suits your application. This collection has developed from the work of several members of the Synthetic Biology community (see Contributors below). The origin of individual RBS sequences can be found on the corresponding part pages. Individual family members have been characterized relative to each other or have been derived from other collection members. See here for a general description of how Ribosome Binding Sites work.

Obtaining the Collection

Sequences for the Community Collection can be found in the table below. To obtain the physical DNA, we recommend two approaches -
Via de novo synthesis: Since the RBS parts are short sequences, they can be easily and cheaply ordered as two single-stranded complementary oligos and annealed. See here for a tutorial on how to construct short parts via oligo annealing.

Via the Registry distribution: Many of the RBS parts are included in the Registry DNA distribution.

Community RBS Collection
Identifier Sequencea Measured Strengthb Predicted Strengthc
Set 1 Set 2 Mean CV
BBa_B0029 TCTAGAGTTCACACAGGAAACCTACTAGATG - 0.764 0.09 1.07
BBa_B0030 TCTAGAGATTAAAGAGGAGAAATACTAGATG 0.6 - 1.02 1.29
BBa_B0031 TCTAGAGTCACACAGGAAACCTACTAGATG 0.07 - 0.11 1.28
BBa_B0032 TCTAGAGTCACACAGGAAAGTACTAGATG 0.3 0.376 0.15 1.51
BBa_B0033 TCTAGAGTCACACAGGACTACTAGATG 0.01 0.002 0.02 0.87
BBa_B0034 TCTAGAGAAAGAGGAGAAATACTAGATG 1 1 1 1.18
BBa_B0035 TCTAGAGATTAAAGAGGAGAATACTAGATG - 1.124 1.17 1.24
BBa_B0064 TCTAGAGAAAGAGGGGAAATACTAGATG 0.35 - 0.71 1.27

aThe sequence of individual RBS are shown in black. The grey nucleotides show the bracketing sequence that results from assembling the RBS with an upstream part and a downstream coding sequence. The start codon of the downstream coding sequence is shown in green.
bThe relative strengths of these RBSs have been measured on (at least) two occasions. The different datasets are described in the Characterization section below. cThe predicted relative strengths of these RBS parts were calculated by Howard Salis. These predictions are explained in greater detail in the Characterization section below.

Characterization

Set 1

The data quoted in the table above was obtained by Jason Kelly and Robbie Bryant during the summer of 2004 using a fluorescent reporter.

Set 2

The data quoted in the table above was obtained by Jason Kelly and Adam Rubin during 2007/8. Further detail about these measurements will be added to the registry in the near future.

Predicted Strengths

135 RBS parts and 144 protein coding sequences from the Registry were analyzed. The sequence of each RBS part was placed in front of each coding sequence. The relative expression level of this RNA sequence was predicted using Howard Salis' RBS calculator (v1.0). At the same time, the likelihood that the RNA sequence is at equilibrium is also estimated. The predictions of the RBS calculator are most accurate when the RNA sequence is at or near equilibrium. Then, the mean translational activity of an RBS part over all protein coding sequences is calculated. This mean only includes the sequences that are estimated to be at equilibrium. In the table above the mean strengths of the RBS parts is reported relative to BBa_B0034. The coefficient of variation (CV, the ratio of the standard deviation to the mean across all coding regions tested) gives a measure of how likely the strength of the RBS is to vary depending on the sequence context in which the RBS is used.

Other data

Further data on some of the RBSs (although less quantitative) can be found in the doctoral thesis of [http://www.princeton.edu/~rweiss/papers/rweiss-phd-thesis.pdf Ron Weiss] (p79-80) and the supplementary methods of Gardner et alGardner. Note that the rank order of strengths as measured by Weiss and Kelly & Bryant differ from those reported by Gardner et al. This discrepancy is likely due to differences in nucleotide sequence between the Ribosome Binding Site and the start codon due to the cloning strategies used by the different groups. As is typical for RBS, translation initiation rate can be highly dependent on upstream and downstream sequence for reasons such as RBS occlusion due to mRNA secondary structure or changes in mRNA stability. For this reason, the strengths of the RBS should be remeasured for different sequence contexts. Please contribute any data on this RBS family back to the registry.

References

<biblio>

  1. Gardner pmid=10659857
  2. Weiss Weiss, R. Cellular Computation and Communications using Engineered Genetic Regulatory Networks. PhD Dissertation, MIT, 2000 [http://www.princeton.edu/~rweiss/papers/rweiss-phd-thesis.pdf (pdf)]

</biblio>

Contributors

Several early members of the community collection were based on RBS used by Prof. Ron Weiss, Princeton.
Jason Kelly contributed characterization data for some of the RBS in the Community Collection.
Robbie Bryant contributed characterization data for some of the RBS in the Community Collection.
Adam Rubin contributed characterization data for some of the RBS in the Community Collection.