Evidence map›Paper›PMID 24888712›Full record

ArticleBiotechnology and bioengineering2014

CHOPPI: a web tool for the analysis of immunogenicity risk from host cell proteins in CHO-based protein production.

Chris Bailey-Kellogg, Andres H Gutiérrez, Leonard Moise, Frances Terry, William D Martin, Anne S De Groot

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Analytical Tools for HCP Detection, Identification, and Quantitation.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Review
  7. Review
  8. CRISPR Technologies in Chinese Hamster Ovary Cell Line Engineering.International journal of molecular sciences · 2023
    Review
  9. In Silico Design of a Chimeric Humanized L-asparaginase.International journal of molecular sciences · 2023
    Article
  10. Article
  11. Two-Dimensional Gel Electrophoresis and 2D-DIGE.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Bioinformatic analysis of Chinese hamster ovary host cell protein lipases.AIChE journal. American Institute of Chemical Engineers · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 4 institutions in 1 country.

Chris Bailey-KelloggDepartment of Computer Science, Dartmouth College, Hanover, New Hampshire.
Andres H Gutiérrez
Leonard Moise
Frances Terry
William D Martin
Anne S De Groot
EpiVax (United States) · USUniversity of Rhode Island · USDartmouth College · USProvidence College · US

Funding

TRIAD Scientific Core: TRIAD ToolkitU19AI082642 · NIAID · UNIVERSITY OF RHODE ISLAND · PI MARTIN, WILLIAM D · 2009 to 2013
$13.0M
NIAID NIH HHS U19AI082642-01
6 · The paper itself

Abstract

Despite high quality standards and continual process improvements in manufacturing, host cell protein (HCP) process impurities remain a substantial risk for biological products. Even at low levels, residual HCPs can induce a detrimental immune response compromising the safety and efficacy of a biologic. Consequently, advanced-stage clinical trials have been cancelled due to the identification of antibodies against HCPs. To enable earlier and rapid assessment of the risks in Chinese Hamster Ovary (CHO)-based protein production of residual CHO protein impurities (CHOPs), we have developed a web tool called CHOPPI, for CHO Protein Predicted Immunogenicity. CHOPPI integrates information regarding the possible presence of CHOPs (expression and secretion) with characterizations of their immunogenicity (T cell epitope count and density, and relative conservation with human counterparts). CHOPPI can generate a report for a specified CHO protein (e.g., identified from proteomics or immunoassays) or characterize an entire specified subset of the CHO genome (e.g., filtered based on confidence in transcription and similarity to human proteins). The ability to analyze potential CHOPs at a genomic scale provides a baseline to evaluate relative risk. We show here that CHOPPI can identify clear differences in immunogenicity risk among previously validated CHOPs, as well as identify additional "risky" CHO proteins that may be expressed during production and induce a detrimental immune response upon delivery. We conclude that CHOPPI is a powerful tool that provides a valuable computational complement to existing experimental approaches for CHOP risk assessment and can focus experimental efforts in the most important directions. Biotechnol. Bioeng. 2014;111: 2170-2182. © 2014 Wiley Periodicals, Inc.

Indexed as

Drug ContaminationAnimalsBiological ProductsCHO CellsComputational BiologyCricetulusInternetRecombinant ProteinsBiological ProductsRecombinant ProteinsbiologicCHOhost cell proteinimmunogenicityimmunoinformaticsT cell epitope

Identifiers

PMID24888712
PMCPMC4282101
OpenAlexW2149426025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.