The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A reconstruction of the mammalian secretory pathway identifies mechanisms regulating antibody production
Open accessPreprint — published as 10.1016/j.cels.2025.101453 · Paper page
Abstract
The secretory pathway processes >30% of mammalian proteins, orchestrating their synthesis, modification, trafficking, and quality control. However, its complexity— spanning multiple organelles and dependent on coordinated protein interactions—limits our ability to decipher how protein secretion is controlled in biomedical and biotechnological applications. To advance such research, we present secRecon—a comprehensive reconstruction of the mammalian secretory pathway, comprising 1,127 manually curated genes organized within an ontology of 77 secretory process terms, annotated with functional roles, subcellular localization, protein interactions, and complex composition. Using secRecon to integrate multi-omics data, we identified distinct secretory topologies in antibody-producing plasma cells compared to CHO cells. Genes within proteostasis, translocation, and N-glycosylation are deficient in CHO cells, highlighting them as potential engineering targets to boost secretion capacity. Applying secRecon to single-cell transcriptomics and SEC-seq data, we uncovered secretory pathway signatures underlying secretion diversity among IgG-secreting plasma cells. Different transcriptomic clusters had unique secretory phenotypes characterized by variations in the unfolded protein response (UPR), endoplasmic reticulum-associated degradation (ERAD), and vesicle trafficking pathways. Additionally, we discovered specific secretory machinery genes as new markers for plasma cell differentiation. These findings demonstrate secRecon can identify mechanisms regulating protein secretion and guide diverse studies in biomedical research and biotechnology. Graphical Abstract:
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
Flagged first, then by citations
Research works printed but not linked: 68
- Gutierrez, J. M. et al. Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion. Nat. Commun. 11, 68 (2020). · DOI
- Uhlén, M. et al. Proteomics. Tissue-based map of the human proteome. Science 347, 1260419 (2015). · DOI
- 10.1016/j.semcdb.2009.03.012 · DOI
- 10.1016/j.ygcen.2011.08.017 · DOI
- Stefan, C. J. et al. Membrane dynamics and organelle biogenesis-lipid pipelines and vesicular carriers. BMC Biol. 15, 102 (2017). · DOI
- 10.1534/genetics.112.142810 · DOI
- 10.1016/j.ymben.2012.01.002 · DOI
- 10.4161/bioe.22856 · DOI
- 10.1016/j.cell.2007.12.040 · DOI
- 10.1002/art.30073 · DOI
- Huber, R. J . Altered protein secretion in Batten disease. Dis. Model. Mech. 14, (2021). · DOI
- 2010, Mutations alter secretion of fukutin-related protein, Biochim. Biophys. Acta, 1802, 253, 10.1016/j.bbadis.2009.10.016 · DOI
- 10.1146/annurev-biochem-062209-093836 · DOI
- 10.1152/physrev.00027.2011 · DOI
- 10.1038/s41467-022-30689-7 · DOI
- Lund, A. M. et al. Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data. BMC Syst. Biol. 11, 37 (2017). · DOI
- Feizi, A. , Gatto, F. , Uhlen, M. & Nielsen, J . Human protein secretory pathway genes are expressed in a tissue-specific pattern to match processing demands of the secretome. NPJ Syst Biol Appl 3, 22 (2017). · DOI
- 10.1371/journal.pone.0063284 · DOI
- 10.1023/B:GLYC.0000043742.99482.01 · DOI
- 10.1093/nar/gky973 · DOI · Paper page
- The UniProt Consortium, 2022, UniProt: the Universal Protein Knowledgebase in 2023, Nucleic Acids Res, 51, D523, 10.1093/nar/gkac1052 · DOI · Paper page
- 10.1093/NAR/GKAC1000 · DOI · Paper page
- 10.1101/2023.12.18.572249 · DOI
- 10.1002/spe.4380211102 · DOI · Paper page
- 10.1007/978-0-387-74347-9 · DOI
- 10.1146/annurev.biochem.78.081507.101607 · DOI · Paper page
- 10.1002/pmic.200700131 · DOI
- 10.1146/annurev-biochem-072909-100424 · DOI
- 10.1038/nbt.4305 · DOI · Paper page
- Park, S.-Y. et al. Driving towards digital biomanufacturing by CHO genome-scale models. Trends Biotechnol. 0, (2024). · DOI
- 10.1016/j.febslet.2007.04.031 · DOI
- 10.1016/j.ymben.2024.03.007 · DOI
- 10.2307/2285675 · DOI
- 10.1186/1471-2105-14-1 · DOI
- 10.1038/nrm3383 · DOI
- 10.1093/glycob/cwj016 · DOI
- 10.1038/s41580-020-0250-z · DOI · Paper page
- Rapoport, T. A. , Li, L. & Park, E . Structural and Mechanistic Insights into Protein Translocation. Annu. Rev. Cell Dev. Biol. 33, (2017). · DOI
- 10.1038/nri1572 · DOI
- 10.1038/ni.3154 · DOI
- Gaudette, B. T. , Jones, D. D. , Bortnick, A. , Argon, Y. & Allman, D . mTORC1 coordinates an immediate unfolded protein response-related transcriptome in activated B cells preceding antibody secretion. Nat. Commun. 11, 723 (2020). · DOI
- King, H. W. , et al. Single-cell analysis of human B cell maturation predicts how antibody class switching shapes selection dynamics. Sci Immunol 6, (2021). · DOI
- Duan, M. et al. Understanding heterogeneity of human bone marrow plasma cell maturation and survival pathways by single-cell analyses. Cell Rep. 42, 112682 (2023). · DOI
- Trezise, S. et al. An arrayed CRISPR screen of primary B cells reveals the essential elements of the antibody secretion pathway. Front. Immunol. 14, 1089243 (2023). · DOI
- Xiong, E. et al. A CRISPR/Cas9-mediated screen identifies determinants of early plasma cell differentiation. Front. Immunol. 13, 1083119 (2022). · DOI
- 10.1038/s41467-023-39367-8 · DOI
- 10.1016/J.CELL.2021.04.048 · DOI · Paper page
- Senra, D. , Guisoni, N. & Diambra, L . Cell annotation using scRNA-seq data: A protein-protein interaction network approach. MethodsX 10, 102179 (2023). · DOI
- 10.3102/1076998612458319 · DOI
- 1993, Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression, Psychol. Bull, 113, 542
- 10.1038/75556 · DOI · Paper page
- 10.1089/ars.2009.3079 · DOI
- Preisendörfer, S. et al. FK506-Binding Protein 11 Is a Novel Plasma Cell-Specific Antibody Folding Catalyst with Increased Expression in Idiopathic Pulmonary Fibrosis. Cells 11, (2022). · DOI
- 10.1007/s00253-016-7388-9 · DOI
- 10.1038/35085509 · DOI
- 10.1038/nri3795 · DOI
- 10.1080/10409230500315352 · DOI
- 10.1002/bit.27714 · DOI
- 10.1016/j.ymben.2021.03.013 · DOI
- 10.1016/j.ymben.2024.02.012 · DOI
- 10.1038/s41586-020-2188-x · DOI · Paper page
- 10.1126/science.aaz1776 · DOI · Paper page
- 10.1038/nature24277 · DOI · Paper page
- 10.1038/s41598-019-41695-z · DOI · Paper page
- 10.1109/TVCG.2014.2346248 · DOI
- 10.1016/j.cels.2018.03.001 · DOI · Paper page
- 10.1093/bioinformatics/btt703 · DOI · Paper page
- 10.1093/nar/gkz446 · DOI · Paper page
Metadata
- Authors
- Masson, H., Tat, J., Di Giusto, P., Antonakoudis, A., Shamie, I., Baghdassarian, H., Samoudi, M., Robinson, C. M., Kuo, C.-C., Koga, N., Singh, S., Gezalyan, A., Li, Z., Movsessian, A., Richelle, A., & Lewis, N. E.
- Affiliations
- University of California San Diego (US)
- Sartorius (United Kingdom) (GB)
- University of Georgia (US)
- Corresponding author
- Lewis, Nathan E.
- ORCID
- Venue
- Cell Systems
- Publisher
- openRxiv
- Published
- 2024-11-15
- Volume
- 16
- Issue
- 12
- Pages
- 101453-101453
- ISSN
- 2405-4712 (ISSN-L)
- PMC
- PMC12704830
- OpenAlex
- W4417198380
- Cited by
- 6
- References
- 1
- Citations by year
- 2026: 4 · 2025: 2
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Open access
- green
- pmc.ncbi.nlm.nih.gov
- Locations
- Cell Systems (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion)
- Funders
- National Science Foundation (2030039)
- Novo Nordisk Fonden (NNF20SA0066621)
- National Institutes of Health
- National Institute of General Medical Sciences (R35GM119850)
- National Institute of Allergy and Infectious Diseases (UH2AI153029)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular transport and secretion
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Endoplasmic Reticulum Stress and Disease
- Keywords
- secretory pathway, protein secretion, antibody production, plasma cells, gene ontology annotation, N-glycosylation, proteostasis, unfolded protein response, ER-associated degradation, vesicle trafficking, plasma cell differentiation, CHO cells, protein quality control
- MeSH terms
- Animals, Antibody Formation, Cricetulus, Endoplasmic Reticulum, Humans, Mammals, Plasma Cells, CHO Cells, Protein Transport, Secretory Pathway, Unfolded Protein Response
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review