Cited by 147Viral Infectious Diseases and Gene Expression in InsectsVirus-based gene therapy researchRNA Interference and Gene Delivery

The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.

Episomal vectors for gene expression in mammalian cells

Van Craenenbroeck, Kathleen, Vanhoenacker, Peter, Haegeman, Guy·2000·European Journal of Biochemistry

Abstract

An important reason for preferring mammalian cells for heterologous gene expression is their ability to make authentic proteins containing post‐translational modifications similar to those of the native protein. The development of expression systems for mammalian cells has been ongoing for several years, resulting in a wide variety of effective expression vectors. The aim of this review is to highlight episomal expression vectors. Such episomal plasmids are usually based on sequences from DNA viruses, such as BK virus, bovine papilloma virus 1 and Epstein–Barr virus. In this review we will mainly focus on the improvements made towards the usefulness of these systems for gene expression studies and gene therapy.

Overview

Integrity signals

Registry

Crossref · 10.1046/j.1432-1327.2000.01645.x

Cites

194 of 194 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 194 references

Research works printed but not linked: 10

  1. Sambrook J., 1988, Vectors for high level expression of proteins in mammalian cells, Focus, 10, 41
  2. Howley P.M., 1996, Fields Virology, 2045
  3. Shah K.V., 1996, Fields Virology, 2027
  4. Cole C.N., 1996, Fields Virology, 1997
  5. Shah K.V., 1996, Fields Virology, 2077
  6. Roberts J.M., 1986, Cancer cells 4/DNA Tumor Viruses, 555
  7. Rickinson A.B., 1996, Fields Virology, 2397
  8. Kieff E., 1996, Fields Virology, 2343
  9. Roizman B., 1996, Fields Virology, 2221
  10. Lupton S., 1986, Cancer Cells 4/DNA Tumor Viruses, 543

Cited by

Sorted by citations

Metadata

Authors
Van Craenenbroeck, K., Vanhoenacker, P., & Haegeman, G.
Affiliations
Vlaams Instituut voor Biotechnologie (BE)
Corresponding author
Haegeman, Guy
Venue
European Journal of Biochemistry
Publisher
Wiley
Published
2000-09
Volume
267
Issue
18
Pages
5665-5678
ISSN
  • 0014-2956 (ISSN-L)
  • 1432-1033
OpenAlex
W1591316509
Cited by
147
References
194
Citations by year
2025: 4 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 6 · 2020: 3 · 2019: 6 · 2018: 6 · 2017: 12 · 2016: 7 · 2015: 11 · 2014: 7 · 2013: 6 · 2012: 5
FWCI
0.25
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Biochemistry (publishedVersion)
  • PubMed (publishedVersion)
  • Ghent University Academic Bibliography (Ghent University) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Virus-based gene therapy research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
Keywords
episomal vectors, mammalian cell expression systems, heterologous expression, BK virus, bovine papillomavirus 1, Epstein-Barr virus, post-translational modification, gene therapy
MeSH terms
Animals, BK Virus, Cell Line, Herpesvirus 4, Human, Genetic Vectors, Humans, Models, Genetic, Plasmids, Genetic Therapy, Gene Transfer Techniques, Transgenes, Bovine papillomavirus 1

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review