Biology subjects

Carillo, S.

Publications and source records attributed to Carillo, S..

4 recordsLinked to original sources

bioRxiv2026

Next-gen glycoengineering: combining cellular and metabolic engineering to fine tune mAb β1,4-galactosylation

N-linked Fc galactosylation drives variability in therapeutic mAb quality, affecting complement-dependent cytotoxicity and ADCC. Current control strategies suffer from narrow ranges, productivity loss, or unwanted glycoforms. Here, we combine metabolic and cellular glycoengineering by feeding 2-deoxy-2-fluorogalactose (2FG) to CHO cells engineered for hypergalactosylation via COSMC knockout and {beta}4-galactosyltransferase overexpression (C /GT+), achieving broad, tuneable control of Fc {beta}4-galactosylation. In DP12 C-/GT+ cells, a split-feed regimen spanned a wide galactosylation range (95-46%) but generated substantial aglycosylated and Man5 glycoforms. The same regimen in a second host, VRC01 C-/GT+, gave only a narrow range, indicating 2FG dosing does not transfer directly across cell lines. Based on a proposed mechanism where 2FG is metabolised via the Leloir pathway into inhibitory fluorinated nucleotide-sugar intermediates, we developed a cell-normalised, multi-bolus feeding strategy that substantially broadened control in VRC01 C-/GT+ cells while suppressing aglycosylation and Man5 formation. In a fed-batch Ambr(R) 250 process, this strategy achieved comparable galactosylation reduction with roughly ten-fold less 2FG, showing that the fraction of mAb secreted after feeding is a key determinant of control strategy efficiency. Across the resulting glycoform range, Bio-Layer Interferometry identified Fc {beta}4-galactosylation as the strongest correlate of Fc{gamma}RIIIA (CD16a) binding affinity (R2 = 0.92). Together, these findings establish combined metabolic and cellular glycoengineering as a platform for controlling mAb galactosylation across a broad range, with potential to fine-tune downstream pharmacological activity.

bioengineering↗

bioRxiv2026

Unmasking Glycoforms: Lectin-Based Profiling and Functional Implications of Targeted Glycosylation Knockouts in CHO Cells

Monoclonal antibody (mAb) glycosylation is a critical quality attribute that is difficult to rationally engineer and rapidly assess during cell line development. Here, we investigate whether cell-surface glycosylation can serve as a predictive indicator of mAb product glycosylation following targeted glycogene engineering in CHO cells. Five key glycogenes (COSMC, FUT8, B4GALT1, ST3GAL4, ST6GAL1) were investigated in two mAb-producing CHO cell lines. Product glycan analysis revealed consistent, gene-specific effects across hosts, including loss of core fucosylation, and tuneable galactosylation and sialylation. Lectin-based surface profiling reliably reflected product outcomes for COSMC and FUT8 modifications but showed limited predictive power for galactosylation and 2,3-sialylation, highlighting glycosylation pathway redundancy and context dependence. This study provides the first systematic, cross-cell line evaluation of lectin-based cell-surface glycan profiling as a predictor of mAb product glycosylation, establishing its practical utility and inherent limitations for CHO glycoengineering workflows. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/724788v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@6d5cfborg.highwire.dtl.DTLVardef@1f38e0aorg.highwire.dtl.DTLVardef@f25fa2org.highwire.dtl.DTLVardef@64a0dc_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2026

Computationally inspired glycoengineering to maximise mAb β4-galactosylation

{beta}4-galactosylation is a critical quality attribute of therapeutic monoclonal antibodies (mAbs), enhancing complement-dependent cytotoxicity, antibody-dependent cytotoxicity, and antibody-dependent cellular phagocytosis. Despite its therapeutic importance, galactosylation remains the most variable glycosylation motif due to its sensitivity to cell culture conditions. Here, we describe a dual genetic engineering strategy applied to two mAb-producing CHO cell lines, DP12 and VRC01, to simultaneously overcome the cellular machinery and metabolic bottlenecks that limit {beta}4-galactosylation. The first engineering event knocks out COSMC, the chaperone required for core 1 {beta}-1,3-galactosyltransferase 1 activity, to redirect UDP-Gal consumption from O-linked {beta}3-galactosylation towards mAb Fc N-linked {beta}4-galactosylation. The second event overexpresses {beta}-1,4-galactosyltransferase 1 ({beta}4GalT1) to augment cellular galactosylation machinery. Each modification was characterised individually (COSMC- and GalT+) and in combination (C-/GT+) across both cell lines in batch and fed batch cultures. The combined C-/GT+ strategy consistently achieved greater than 90% mAb Fc {beta}4-galactosylation, irrespective of host cell line or culture mode. Metabolic characterisation confirmed that both engineering events alleviate their respective bottlenecks: COSMC knockout redirects UDP-Gal flux and {beta}4GalT1 overexpression increases N-galactosylation capacity. The C-/GT+ strategy also reduced production of Man5 glycans, which accelerate serum clearance and pose immunogenicity risks. Metabolic profiling suggests that the COSMC knockout attenuates UTP consumption and contributes to reduced Man5 production. C-/GT+ glycoengineering had no negative impact on mAb titre. Our results establish the C-/GT+ dual glycoengineering strategy as a robust approach for consistently achieving high mAb galactosylation across diverse cell culture conditions, with the additional benefit of reduced Man5 glycans. HighlightsO_LIDual COSMC KO and {beta}4GalT1 overexpression achieves >90% mAb Fc galactosylation. C_LIO_LICOSMC KO redirects UDP-Gal from O-glycans to mAb Fc without impacting cell growth. C_LIO_LIDual glycoengineering reduces production of undesired Man5 glycans. C_LI

bioengineering↗

bioRxiv2020

Tracing production instability in a clonally-derived CHO cell line using single cell transcriptomics

A variety of mechanisms including transcriptional silencing, gene copy loss and increased susceptibility to cellular stress have been associated with a sudden or gradual loss of monoclonal antibody (mAb) production in Chinese hamster ovary (CHO) cell lines. In this study, we utilised single cell RNA-seq (scRNA-seq) to study a clonally-derived CHO cell line that underwent production instability leading to a dramatic reduction of the levels of mAb produced. From the scRNA-seq data we identified sub clusters associated with variations in the mAb transgenes and observed that heavy chain gene expression was significantly lower than that of the light chain across the population. Using trajectory inference, the evolution of the cell line was reconstructed and was found to correlate with a reduction in heavy and light chain gene expression. Genes encoding for proteins involved in the response to oxidative stress and apoptosis were found to increase in expression as cells progressed along the trajectory. Future studies of CHO cell lines using this technology have the potential to dramatically enhance our understanding of the characteristics underpinning efficient manufacturing performance as well as product quality. HighlightsO_LIA clonally-derived CHO cell line in our laboratory had undergone production instability - in that the amount of intact monoclonal antibody had reduced dramatically to levels at which reliable quantitation was no longer possible. We were, however, able to detect mAb heavy and light chain protein, as well as dimerised light chain species in the cell culture media. C_LIO_LISingle cell RNA-seq was utilised to capture > 3,800 gene expression profiles from the cell line at 72hrs post seeding. C_LIO_LIAnalyses of the scRNA-seq data uncovered transcriptional heterogeneity and revealed the presence of multiple intra cell line clusters. The heavy chain transcript was detected at a significantly lower level in comparison to light chain transcripts. Light chain gene expression was not only more abundant, but also expressed more uniformly across the cell population. C_LIO_LIUsing unsupervised trajectory analysis, the emergence of heterogeneity in the cell population was traced from those cells most similar to the original isolated clone to those where transcription of the mAb heavy and light chain was undetectable. C_LIO_LISubsequent analysis of CHO cell gene expression patterns revealed a correlation between the progression of cells along the trajectory and the upregulation of genes involved in the cellular response to oxidative stress. C_LI

cell biology↗