Effect of upstream sequence modifications in pET vectors on the yield of recombinant proteins

Increasing the yield of recombinant proteins can save time and materials and, consequently, any strategy that seems promising for achieving this objective is worth investigating. Lately, it has been proposed that modifications of upstream sequences from pET vectors would enhance the transcription efficiency. To validate this approach, we expressed a pool of constructs in modified pET vectors and compared the yields with those obtained using unmodified pET-derived vectors. Constructs were selected according to their different structural properties and protein yields. In our experimental setting, the results were generally deceiving. However, improvements were observed when additional elements of the construct were optimized concurrently. In particular, repositioning the His-tag from the C-terminus to the N-terminus positively affected the final protein yield. Taken together, these findings indicate that the modified vectors developed in this study represent one of several factors to consider during the initial screening aimed at identifying optimal expression conditions for a new construct, rather than a broadly applicable solution for enhancing the yield of any protein construct.

Authors

Institutions

Publication Details

Journal
Protein Expression and Purification
Published
2026-10-14
DOI
https://doi.org/10.1016/j.pep.2026.107026
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of upstream sequence modifications in pET vectors on the yield of recombinant proteins

Anneleen Olbrechts, Ario de Marco, Martine Vanhoucke, Urša Štrancar et al.
Protein Expression and Purification
Protein purification and stability
article

Effect of upstream sequence modifications in pET vectors on the yield of recombinant proteins

Anneleen Olbrechts, Ario de Marco, Martine Vanhoucke, Urša Štrancar, Lucia Cikatricisová, Mirna Nakić, He Huang, Zichen Wang
article en

Abstract

Increasing the yield of recombinant proteins can save time and materials and, consequently, any strategy that seems promising for achieving this objective is worth investigating. Lately, it has been proposed that modifications of upstream sequences from pET vectors would enhance the transcription efficiency. To validate this approach, we expressed a pool of constructs in modified pET vectors and compared the yields with those obtained using unmodified pET-derived vectors. Constructs were selected according to their different structural properties and protein yields. In our experimental setting, the results were generally deceiving. However, improvements were observed when additional elements of the construct were optimized concurrently. In particular, repositioning the His-tag from the C-terminus to the N-terminus positively affected the final protein yield. Taken together, these findings indicate that the modified vectors developed in this study represent one of several factors to consider during the initial screening aimed at identifying optimal expression conditions for a new construct, rather than a broadly applicable solution for enhancing the yield of any protein construct.

Protein Expression and PurificationVol. 244
Tianjin University (CN), University of Nova Gorica (SI), Ghent University (BE), Tianjin Institute of Pharmaceutical Research (China) (CN), State Key Laboratory of Chemical Engineering (CN)
Javna Agencija za Raziskovalno Dejavnost RS
Openalex Percentile: Top 24%
Protein purification and stability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.