Evidence map›Paper›PMID 39211256›Full record

ArticlebioRxiv : the preprint server for biology2024

Multiplex genome editing eliminates the Warburg Effect without impacting growth rate in mammalian cells.

Hooman Hefzi, Iván Martínez-Monge, Igor Marin de Mas, Nicholas Luke Cowie, Alejandro Gomez Toledo, Soo Min Noh, Karen Julie la Cour Karottki, Marianne Decker, Johnny Arnsdorf, Jose Manuel Camacho-Zaragoza and 25 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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
–field-weighted citation impact
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

35 authors.

Iván Martínez-Monge
Igor Marin de Mas
Nicholas Luke Cowie
Alejandro Gomez Toledo
Soo Min Noh
Karen Julie la Cour Karottki
Marianne Decker
Johnny Arnsdorf
Jose Manuel Camacho-Zaragoza
Stefan Kol
Sanne Schoffelen
Nuša Pristovšek
Anders Holmgaard Hansen
Antonio A Miguez
Sara Petersen Bjorn
Karen Kathrine Brøndum
Elham Maria Javidi
Kristian Lund Jensen
Laura Stangl
Emanuel Kreidl
Thomas Beuchert Kallehauge
Daniel Ley
Patrice Ménard
Helle Munck Petersen
Zulfiya Sukhova
Anton Bauer
Emilio Casanova
Niall Barron
Johan Malmström
Lars K Nielsen
Gyun Min Lee
Helene Faustrup Kildegaard
Bjørn G Voldborg

Funding

Unraveling the mammalian secretory pathway through systems biology and algorithm developmentR35GM119850 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEWIS, NATHAN ENOCH · 2016 to 2025
$4.3M
Austrian Science Fund FWF P 32900NIGMS NIH HHS R35 GM119850
6 · The paper itself

Abstract

The Warburg effect is ubiquitous in proliferative mammalian cells, including cancer cells, but poses challenges for biopharmaceutical production, as lactate accumulation inhibits cell growth and protein production. Previous efforts to eliminate lactate production via knockout have failed in mammalian bioprocessing since lactate dehydrogenase has proven essential. However, here we eliminated the Warburg effect in Chinese hamster ovary (CHO) and HEK293 cells by simultaneously knocking out lactate dehydrogenase and regulators involved in a negative feedback loop that typically inhibits pyruvate conversion to acetyl-CoA. In contrast to long-standing assumptions about the role of aerobic glycolysis, Warburg-null cells maintain wildtype growth rate while producing negligible lactate. Further characterization of Warburg-null CHO cells showed a compensatory increase in oxygen consumption, a near total reliance on oxidative metabolism, and higher cell densities in fed-batch cell culture. These cells remained amenable for production of diverse biotherapeutic proteins, reaching industrially relevant titers and maintaining product glycosylation. Thus, the ability to eliminate the Warburg effect is an important development for biotherapeutic production and provides a tool for investigating a near-universal metabolic phenomenon.

Identifiers

PMID39211256
PMCPMC11361052

What OpenQuestion holds

Textmetadata
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.