A review of DNA restriction-free overlapping sequence cloning techniques for synthetic biology
Isabella Frighetto Bomfiglio, Isabelli Seiler de Medeiros Mendes and, Diego Bonatto

TL;DR
This review comprehensively summarizes restriction-free overlapping sequence cloning techniques in synthetic biology, comparing in vitro and in vivo methods, and discusses their efficiencies, applications, and future trends.
Contribution
It provides a systematic comparison of current RFOSC techniques, highlighting their development, advantages, limitations, and potential future directions in synthetic biology.
Findings
Multiple RFOSC methods are evaluated for efficiency and practicality.
No single method is universally optimal; choice depends on project needs.
Future trends include increased automation and enzymatic efficiency.
Abstract
DNA cloning methods are fundamental tools in molecular biology, synthetic biology, and genetic engineering that enable precise DNA manipulation for various scientific and biotechnological applications. This review systematically summarizes the major restriction-free overlapping sequence cloning (RFOSC) techniques currently used in synthetic biology and examines their development, efficiency, practicality, and specific applications. In vitro methods, including Gibson Assembly, Circular Polymerase Extension Cloning (CPEC), Polymerase Incomplete Primer Extension (PIPE), Overlap Extension Cloning (OEC), Flap Endonuclease Cloning (FEN-Cloning), and commercially available techniques such as TOPO and In-Fusion, have been discussed alongside hybrid approaches such as Ligation-Independent Cloning (LIC), Sequence-Independent Cloning (SLIC), and T5 Exonuclease-Dependent Assembly (TEDA).…
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Taxonomy
TopicsAnimal Genetics and Reproduction · Bacteriophages and microbial interactions
MethodsGated Linear Unit · Refunds@Expedia|||How do I get a full refund from Expedia? · Attention Is All You Need · Depthwise Convolution · Multi-DConv-Head Attention · Byte Pair Encoding · Attention Dropout · Softmax · Residual Connection · Linear Layer
