Evidence map›Paper›PMID 31020842›Full record

ArticleJournal of proteome research2019

Proteogenomic Annotation of Chinese Hamsters Reveals Extensive Novel Translation Events and Endogenous Retroviral Elements.

Shangzhong Li, Seong Won Cha, Kelly Heffner, Deniz Baycin Hizal, Michael A Bowen, Raghothama Chaerkady, Robert N Cole, Vijay Tejwani, Prashant Kaushik, Michael Henry and 5 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The 'Omics Revolution in CHO Biology: Roadmap to Improved CHO Productivity.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

15 authors.

Seong Won Cha
Kelly Heffner
Deniz Baycin HizalAntibody Discovery and Protein Engineering , AstraZeneca , Gaithersburg , Maryland , United States.
Michael A BowenAntibody Discovery and Protein Engineering , AstraZeneca , Gaithersburg , Maryland , United States.
Raghothama ChaerkadyAntibody Discovery and Protein Engineering , AstraZeneca , Gaithersburg , Maryland , United States.
Robert N Cole
Vijay TejwaniColleges of Nanoscale Science and Engineering , SUNY Polytechnic Institute , Albany , New York 12203 , United States.
Prashant KaushikNational Institute for Cellular Biotechnology , Dublin City University , Dublin 9, Ireland.
Michael HenryNational Institute for Cellular Biotechnology , Dublin City University , Dublin 9, Ireland.
Paula MeleadyNational Institute for Cellular Biotechnology , Dublin City University , Dublin 9, Ireland.ORCID 0000-0001-5306-310X
Susan T SharfsteinColleges of Nanoscale Science and Engineering , SUNY Polytechnic Institute , Albany , New York 12203 , United States.ORCID 0000-0002-0908-4197
Michael J BetenbaughORCID 0000-0002-1237-5550
Vineet Bafna
Nathan E Lewis

Funding

TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANDEIRA, NUNO · 2012 to 2018
$8.7M
CENTER FOR COMPUTATIONAL MASS-SPECTROMETRYP41RR024851 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2008 to 2011
$5.2M
Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
NCRR NIH HHS P41 RR024851NIGMS NIH HHS P41 GM103484NIGMS NIH HHS R01 GM114362
6 · The paper itself

Abstract

A high-quality genome annotation greatly facilitates successful cell line engineering. Standard draft genome annotation pipelines are based largely on de novo gene prediction, homology, and RNA-Seq data. However, draft annotations can suffer from incorrect predictions of translated sequence, inaccurate splice isoforms, and missing genes. Here, we generated a draft annotation for the newly assembled Chinese hamster genome and used RNA-Seq, proteomics, and Ribo-Seq to experimentally annotate the genome. We identified 3529 new proteins compared to the hamster RefSeq protein annotation and 2256 novel translational events (e.g., alternative splices, mutations, and novel splices). Finally, we used this pipeline to identify the source of translated retroviruses contaminating recombinant products from Chinese hamster ovary (CHO) cell lines, including 119 type-C retroviruses, thus enabling future efforts to eliminate retroviruses to reduce the costs incurred with retroviral particle clearance. In summary, the improved annotation provides a more accurate resource for CHO cell line engineering, by facilitating the interpretation of omics data, defining of cellular pathways, and engineering of complex phenotypes.

Indexed as

ProteogenomicsAnimalsCHO CellsCricetinaeCricetulusGenomeMolecular Sequence AnnotationProteomicsRNA-SeqSequence Analysis, RNAChinese hamsterendogenous retrovirusgenome annotationproteogenomics

Identifiers

PMID31020842
PMCPMC6571120

What OpenQuestion holds

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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.