Please use this identifier to cite or link to this item: doi:10.22028/D291-39764
Title: Pitfalls of using sequence databases for heterologous expression studies : a technical review
Author(s): Maxeiner, Stephan
Krasteva-Christ, Gabriela
Althaus, Mike
Language: English
Title: The Journal of Physiology
Volume: 601
Issue: 9
Pages: 1611-1623
Publisher/Platform: Wiley
Year of Publication: 2023
Free key words: gene expression
genomic data
rodents
sequencing
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Synthesis of DNA fragments based on gene sequences that are available in public resources has become an efficient and affordable method that has gradually replaced traditional cloning efforts such as PCR cloning from cDNA. However, database entries based on genome sequencing results are prone to errors which can lead to false sequence information and, ultimately, errors in functional characterisation of proteins such as ion channels and transporters in heterologous expression systems. We have identified five common problems that repeatedly appear in public resources: (1) Not every gene has yet been annotated; (2) not all gene annotations are necessarily correct; (3) transcripts may contain automated corrections; (4) there are mismatches between gene, mRNA and protein sequences; and (5) splicing patterns often lack experimental validation. This technical review highlights and provides a strategy to bypass these issues in order to avoid critical mistakes that could impact future studies of any gene/protein of interest in heterologous expression systems.
DOI of the first publication: 10.1113/JP284066
URL of the first publication: https://physoc.onlinelibrary.wiley.com/doi/10.1113/JP284066
Link to this record: urn:nbn:de:bsz:291--ds-397640
hdl:20.500.11880/35828
http://dx.doi.org/10.22028/D291-39764
ISSN: 1469-7793
0022-3751
Date of registration: 15-May-2023
Description of the related object: Supporting Information
Related object: https://physoc.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1113%2FJP284066&file=tjp15455-sup-0001-PeerReview.pdf
https://physoc.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1113%2FJP284066&file=tjp15455-sup-0002-SupMat.pdf
Faculty: M - Medizinische Fakultät
Department: M - Anatomie und Zellbiologie
Professorship: M - Prof. Dr. Gabriela Krasteva-Christ
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



This item is licensed under a Creative Commons License Creative Commons