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Deciphering the determinants of recombinant protein expression across the human secretome

  • Helen O. Masson
  • , Pablo Di Giusto
  • , Chih Chung Kuo
  • , Magdalena Malm
  • , Magnus Lundqvist
  • , Åsa Sievertsson
  • , Anna Berling
  • , Hanna Tegel
  • , Sophia Hober
  • , Mathias Uhlen
  • , Luigi Grassi
  • , Kimberly Robasky
  • , Chen Lin Hsieh
  • , Diane Hatton
  • , Johan Rockberg*
  • , Nathan E. Lewis*
  • *Corresponding author for this work
    • University of California
    • University of Georgia
    • University of California at San Diego
    • KTH Royal Institute of Technology
    • AstraZeneca
    • University of North Carolina at Chapel Hill

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    Protein secretion is an essential process of mammalian cells. In biomanufacturing, this process can be optimized to enhance production yields and biotherapeutic quality. While cell line engineering and bioprocess optimization have yielded high protein titers for some recombinant proteins, many remain difficult to express. Here, we investigated factors influencing protein expression in Chinese hamster ovary (CHO) cells, expressing 2,135 Human Secretome Project proteins. While the abundance of mRNA from recombinant proteins explained less than 1% of observed variation in secretion titers, analysis of 218 biochemical and biophysical descriptors uncovered intrinsic protein features that account for ~15% of secretion variability, pinpointing key drivers such as molecular weight, cysteine content, and N-linked glycosylation, and establishing a roadmap for rational design of difficult-to-express proteins. We subsequently analyzed RNA-Seq data from 95 CHO cell cultures, each expressing a distinct recombinant protein, spanning a wide range of titers. Host cell transcriptomic signatures showed strong correlations with titer, thereby providing insights into cellular processes that covary with expression. Cells failing to produce proteins exhibited increased ubiquitin-mediated proteasomal degradation, including ER-associated degradation; whereas high-producing cells demonstrated enhanced lipid metabolism and a stronger response to oxidative stress, suggesting these factors may support successful recombinant protein productions. Together, using this resource, we quantified the contributions of various protein and cellular factors that correlate with the expression of diverse recombinant human proteins in a heterologous host, thereby providing insights for next-generation CHO cell engineering.

    Original languageEnglish
    Article numbere2506036122
    JournalProceedings of the National Academy of Sciences of the United States of America
    Volume122
    Issue number41
    ISSN0027-8424
    DOIs
    Publication statusPublished - 2025

    Keywords

    • Chinese hamster ovary cells
    • Machine learning
    • Protein secretion
    • Recombinant protein
    • Transcriptomics

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