Evidence map›Paper›PMID 21933410›Full record

ArticleJournal of biological engineering2011

BglBrick vectors and datasheets: A synthetic biology platform for gene expression.

Taek Soon Lee, Rachel A Krupa, Fuzhong Zhang, Meghdad Hajimorad, William J Holtz, Nilu Prasad, Sung Kuk Lee, Jay D Keasling

Open access · goldAbstract read
In one paragraph

Article in Journal of biological engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 227 papers.

0numbers the graph read from it
0cells of the map it votes in
227citing papers in PubMed
12.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

227 citing papers in PubMed, 531 citations in OpenAlex.

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167 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Taek Soon Lee *Joint BioEnergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA.
Rachel A Krupa *Joint BioEnergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA.
Fuzhong ZhangJoint BioEnergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA.
Meghdad HajimoradJoint BioEnergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA.
William J HoltzDepartment of Electrical Engineering, University of California, Berkeley, CA 94720, USA.
Nilu PrasadJoint BioEnergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA.
Sung Kuk LeeJoint BioEnergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA.
Jay D KeaslingJoint BioEnergy Institute, 5885 Hollis St., Emeryville, CA 94608, USA.
Joint BioEnergy Institute · USUniversity of California, Berkeley · USLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs engineered biological systems become more complex, it is increasingly common to express multiple operons from different plasmids and inducible expression systems within a single host cell. Optimizing such systems often requires screening combinations of origins of replication, expression systems, and antibiotic markers. This procedure is hampered by a lack of quantitative data on how these components behave when more than one origin of replication or expression system are used simultaneously. Additionally, this process can be time consuming as it often requires the creation of new vectors or cloning into existing but disparate vectors.

resultsHere, we report the development and characterization of a library of expression vectors compatible with the BglBrick standard (BBF RFC 21). We have designed and constructed 96 BglBrick-compatible plasmids with a combination of replication origins, antibiotic resistance genes, and inducible promoters. These plasmids were characterized over a range of inducer concentrations, in the presence of non-cognate inducer molecules, and with several growth media, and their characteristics were documented in a standard format datasheet. A three plasmid system was used to investigate the impact of multiple origins of replication on plasmid copy number.

conclusionsThe standardized collection of vectors presented here allows the user to rapidly construct and test the expression of genes with various combinations of promoter strength, inducible expression system, copy number, and antibiotic resistance. The quantitative datasheets created for these vectors will increase the predictability of gene expression, especially when multiple plasmids and inducers are utilized.

Identifiers

PMID21933410
PMCPMC3189095
OpenAlexW2107523606

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.