Evidence map›Paper›PMID 34778568›Full record

ArticleSynthetic biology (Oxford, England)2021

GoldBricks: an improved cloning strategy that combines features of Golden Gate and BioBricks for better efficiency and usability.

Vishalsingh R Chaudhari, Maureen R Hanson

Open access · goldAbstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Scaling DNA engineering.Trends in biotechnology · 2025
    Review
  3. Efficient biosynthesis of D/L-alanine in the recombinantFrontiers in bioengineering and biotechnology · 2024
    Article
  4. Review
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

2 authors at 1 institution in 1 country.

Vishalsingh R ChaudhariDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.ORCID https://orcid.org/0000-0002-6421-8602
Maureen R HansonDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA.ORCID https://orcid.org/0000-0001-8141-3058
Cornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increasing complexity of expression studies and the repertoire of characterized sequences, combinatorial cloning has become a common necessity. Techniques like BioBricks and Golden Gate aim to standardize and speed up the process of cloning large constructs while enabling sharing of resources. The BioBricks format provides a simplified and flexible approach to endless assembly with a compact library and useful intermediates but is a slow process, joining only two parts in a cycle. Golden Gate improves upon the speed with use of Type IIS enzymes and joins several parts in a cycle but requires a larger library of parts and logistical inefficiencies scale up significantly in the multigene format. We present here a method that provides improvement over these techniques by combining their features. By using Type IIS enzymes in a format like BioBricks, we have enabled a faster and efficient assembly with reduced scarring, which performs at a similarly fast pace as Golden Gate, but significantly reduces library size and user input. Additionally, this method enables faster assembly of operon-style constructs, a feature requiring extensive workaround in Golden Gate. Our format allows such inclusions resulting in faster and more efficient assembly.

Indexed as

bacteriaBioBrickschloroplastGolden Gateoperon cloningType IIS enzymes

Identifiers

PMID34778568
PMCPMC8578713
OpenAlexW3214279798

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.