Evidence map›Paper›PMID 38493141›Full record

ArticleNature communications2024

A universal system for boosting gene expression in eukaryotic cell-lines.

Inbal Vaknin, Or Willinger, Jonathan Mandl, Hadar Heuberger, Dan Ben-Ami, Yi Zeng, Sarah Goldberg, Yaron Orenstein, Roee Amit

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Inbal VakninDepartment of Biotechnology and Food Engineering, Technion, Haifa, Israel.
Or WillingerDepartment of Biotechnology and Food Engineering, Technion, Haifa, Israel.
Jonathan MandlDepartment of Computer Science, Bar-Ilan University, Ramat Gan, Israel.
Hadar HeubergerSchool of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Dan Ben-AmiSchool of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Yi ZengDepartment of Biotechnology and Food Engineering, Technion, Haifa, Israel.
Sarah GoldbergDepartment of Biotechnology and Food Engineering, Technion, Haifa, Israel.
Yaron OrensteinDepartment of Computer Science, Bar-Ilan University, Ramat Gan, Israel.
Roee AmitDepartment of Biotechnology and Food Engineering, Technion, Haifa, Israel. roeeamit@technion.ac.il.ORCID 0000-0003-0580-7076
Technion – Israel Institute of Technology · ILBar-Ilan University · ILBen-Gurion University of the Negev · IL

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 851651
6 · The paper itself

Abstract

We demonstrate a transcriptional regulatory design algorithm that can boost expression in yeast and mammalian cell lines. The system consists of a simplified transcriptional architecture composed of a minimal core promoter and a synthetic upstream regulatory region (sURS) composed of up to three motifs selected from a list of 41 motifs conserved in the eukaryotic lineage. The sURS system was first characterized using an oligo-library containing 189,990 variants. We validate the resultant expression model using a set of 43 unseen sURS designs. The validation sURS experiments indicate that a generic set of grammar rules for boosting and attenuation may exist in yeast cells. Finally, we demonstrate that this generic set of grammar rules functions similarly in mammalian CHO-K1 and HeLa cells. Consequently, our work provides a design algorithm for boosting the expression of promoters used for expressing industrially relevant proteins in yeast and mammalian cell lines.

Indexed as

Eukaryotic CellsSaccharomyces cerevisiaeAnimalsGene ExpressionHeLa CellsHumansMammalsPromoter Regions, Genetic

Identifiers

PMID38493141
PMCPMC10944472
OpenAlexW4392880039

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.