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Pitfalls of using sequence databases for heterologous expression studies - a technical review
Stephan Maxeiner1, Gabriela Krasteva-Christ1, Mike Althaus2
1Institute for Anatomy and Cell Biology, Saarland University, Homburg, Germany.
The Journal of Physiology
|February 10, 2023
Summary
Synthetically generated DNA sequences from public databases are prone to errors, impacting protein function studies. This review offers strategies to correct these sequence inaccuracies for reliable heterologous expression systems.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Gene synthesis from public databases is replacing traditional cloning methods.
- Database entries derived from genome sequencing are susceptible to errors.
- Sequence inaccuracies can lead to mischaracterization of protein function in heterologous systems.
Purpose of the Study:
- To identify common errors in public gene sequence databases.
- To provide a strategy for bypassing these errors in gene synthesis.
- To prevent critical mistakes in functional studies of proteins.
Main Methods:
- Analysis of common errors in public gene sequence databases.
- Review of literature on gene annotation and sequence validation.
- Development of a strategic approach to mitigate sequence discrepancies.
Main Results:
- Identified five recurring problems: incomplete annotation, incorrect annotations, automated transcript corrections, sequence mismatches (gene, mRNA, protein), and lack of splicing validation.
- Highlighted the impact of these errors on protein functional characterization.
- Proposed a bypass strategy for accurate gene synthesis.
Conclusions:
- Errors in public gene sequence databases pose significant risks for protein research.
- Implementing a validation strategy is crucial for reliable gene synthesis and functional studies.
- Accurate sequence information is essential for advancing research in heterologous expression systems.

