Toward a 4D genome annotation of CHO cells for biomanufacturing.

Pablo Di Giusto, Jasmine Tat, Nathan E Lewis

Abstract readReview

In one paragraph

Review in Trends in biotechnology, 2026. 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

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

3 authors.

Pablo Di GiustoCenter for Molecular Medicine, University of Georgia, Athens, GA, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA. Electronic address: pablo.digiusto@uga.edu.

Jasmine TatShu Chien-Gene Lay Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA; Amgen Inc., Thousand Oaks, CA, USA.

Nathan E LewisCenter for Molecular Medicine, University of Georgia, Athens, GA, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Shu Chien-Gene Lay Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA; Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA; Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, USA. Electronic address: natelewis@uga.edu.

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

NIGMS NIH HHS R35 GM119850

6 · The paper itself

Abstract

Biotechnology and biopharma rely on detailed genome annotations for cell-line engineering, yet most production hosts are nonmodel organisms with limited resources linking sequence to physiology across space and time. A complete four-dimensional genome annotation for Chinese hamster ovary (CHO) cells that links sequence, networks, spatial constraints, process state, and passaging history does not yet exist; current efforts instead provide partial layers that must be connected into an actionable framework. In this opinion article, we illustrate this framework for CHO cells, the dominant platform for recombinant protein biologics. Building such resources on a genomic foundation could reduce trial and error in biologics manufacturing by making cell line and bioprocess design more predictable, transparent, and reproducible.

Indexed as

AI virtual cellsbiopharmaceutical manufacturingCHO cellsdigital twinsgenome annotationmultiomics integration

Identifiers

PMID42586865

DOI10.1016/j.tibtech.2026.07.011

PMCPMC13470421

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.