Evidence map›Paper›PMID 22971049›Full record

ArticleJournal of proteome research2012

Proteomic analysis of Chinese hamster ovary cells.

Deniz Baycin-Hizal, David L Tabb, Raghothama Chaerkady, Lily Chen, Nathan E Lewis, Harish Nagarajan, Vishaldeep Sarkaria, Amit Kumar, Daniel Wolozny, Joe Colao and 8 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

71 citing papers in PubMed, 179 citations in OpenAlex.

  1. Review
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  9. Article
  10. Review
  11. The 'Omics Revolution in CHO Biology: Roadmap to Improved CHO Productivity.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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
  19. Life at the periphery: what makes CHO cells survival talents.Applied microbiology and biotechnology · 2022
    Article
  20. A proteomics approach to decipher a sticky CHO situation.Biotechnology and bioengineering · 2022
    Article

11 more citing papers are in PubMed but not listed here.

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

18 authors at 5 institutions in 2 countries.

Deniz Baycin-HizalDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
David L Tabb
Raghothama Chaerkady
Lily Chen
Nathan E Lewis
Harish Nagarajan
Vishaldeep Sarkaria
Amit Kumar
Daniel Wolozny
Joe Colao
Elena Jacobson
Yuan Tian
Robert N O'Meally
Sharon S Krag
Robert N Cole
Bernhard O Palsson
Hui Zhang
Michael Betenbaugh
Johns Hopkins University · USJohns Hopkins Medicine · USUniversity of California, San Diego · USTechnical University of Denmark · DKVanderbilt University Medical Center · US

Funding

Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
Vanberbilt Biomarker Developmental LaboratoryU01CA152647 · NCI · VANDERBILT UNIVERSITY · PI LIEBLER, DANIEL C, TABB, DAVID L · 2010 to 2014
$3.1M
NCI NIH HHS U01 CA152647NCI NIH HHS U01 CA152813NCI NIH HHS U01CA152813
6 · The paper itself

Abstract

To complement the recent genomic sequencing of Chinese hamster ovary (CHO) cells, proteomic analysis was performed on CHO cells including the cellular proteome, secretome, and glycoproteome using tandem mass spectrometry (MS/MS) of multiple fractions obtained from gel electrophoresis, multidimensional liquid chromatography, and solid phase extraction of glycopeptides (SPEG). From the 120 different mass spectrometry analyses generating 682,097 MS/MS spectra, 93,548 unique peptide sequences were identified with at most 0.02 false discovery rate (FDR). A total of 6164 grouped proteins were identified from both glycoproteome and proteome analysis, representing an 8-fold increase in the number of proteins currently identified in the CHO proteome. Furthermore, this is the first proteomic study done using the CHO genome exclusively, which provides for more accurate identification of proteins. From this analysis, the CHO codon frequency was determined and found to be distinct from humans, which will facilitate expression of human proteins in CHO cells. Analysis of the combined proteomic and mRNA data sets indicated the enrichment of a number of pathways including protein processing and apoptosis but depletion of proteins involved in steroid hormone and glycosphingolipid metabolism. Five-hundred four of the detected proteins included N-acetylation modifications, and 1292 different proteins were observed to be N-glycosylated. This first large-scale proteomic analysis will enhance the knowledge base about CHO capabilities for recombinant expression and provide information useful in cell engineering efforts aimed at modifying CHO cellular functions.

Indexed as

ProteomeAcetylationAnimalsCarbohydratesCHO CellsChromatography, LiquidCodonCricetinaeCricetulusGlycosylationRNA, MessengerTandem Mass SpectrometryCarbohydratesCodonProteomeRNA, Messenger

Identifiers

PMID22971049
PMCPMC3772721
OpenAlexW2143346248

What OpenQuestion holds

Textmetadata
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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.