Evidence map›Paper›PMID 29223005›Full record

ReviewCurrent opinion in biotechnology2018

The emerging role of systems biology for engineering protein production in CHO cells.

Chih-Chung Kuo, Austin Wt Chiang, Isaac Shamie, Mojtaba Samoudi, Jahir M Gutierrez, Nathan E Lewis

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
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  13. Improving the secretion of designed protein assemblies through negative design of cryptic transmembrane domains.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. The advent of plant cells in bioreactors.Frontiers in plant science · 2023
    Review
  15. Article
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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

6 authors at 3 institutions in 1 country.

Chih-Chung KuoDepartment of Bioengineering, University of California, San Diego, United States; Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, United States.
Austin Wt ChiangNovo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, United States; Department of Pediatrics, University of California, San Diego, United States.
Isaac ShamieNovo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, United States; Bioinformatics and Systems Biology Program, University of California, San Diego, United States.
Mojtaba SamoudiNovo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, United States; Department of Pediatrics, University of California, San Diego, United States.
Jahir M GutierrezDepartment of Bioengineering, University of California, San Diego, United States; Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, United States.
Nathan E LewisDepartment of Bioengineering, University of California, San Diego, United States; Novo Nordisk Foundation Center for Biosustainability at the University of California, San Diego, United States; Department of Pediatrics, University of California, San Diego, United States. Electronic address: nlewisres@ucsd.edu.
University of California, San Diego · USFoundation Center · USNovo Nordisk (United States) · US

Funding

GRADUATE TRAINING PROGRAM IN BIONFORMATICST32GM008806 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET, REN, BING · 2001 to 2020
$6.2M
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

To meet the ever-growing demand for effective, safe, and affordable protein therapeutics, decades of intense efforts have aimed to maximize the quantity and quality of recombinant proteins produced in CHO cells. Bioprocessing innovations and cell engineering efforts have improved product titer; however, uncharacterized cellular processes and gene regulatory mechanisms still hinder cell growth, specific productivity, and protein quality. Herein, we summarize recent advances in systems biology and data-driven approaches aiming to unravel how molecular pathways, cellular processes, and extrinsic factors (e.g. media supplementation) influence recombinant protein production. In particular, as the available omics data for CHO cells continue to grow, predictive models and screens will be increasingly used to unravel the biological drivers of protein production, which can be used with emerging genome editing technologies to rationally engineer cells to further control the quantity, quality and affordability of many biologic drugs.

Indexed as

AnimalsCell EngineeringCHO CellsCricetinaeCricetulusHumansRecombinant ProteinsSystems BiologyRecombinant Proteins

Identifiers

PMID29223005
PMCPMC5988649
OpenAlexW2773773416

What OpenQuestion holds

Textmetadata
LicenceTDM
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.