It’s important to lay strong foundations for successful drug discovery at this first stage of the process. Our integrated target identification and validation platform combines AI with expert insights, and rigorous lab validation to guide targets through robust evaluation, ready for hit discovery.
Validated, high-quality hits, delivered through integrated technologies and expert collaboration, give you a confident starting point for faster drug discovery.
Turning promising leads into clinical candidates with speed, precision, and the scientific expertise to generate high-quality data and deliver real patient impact.
Discover precise insights into brain neurochemistry with Sygnature Discovery's in vivo microdialysis and cOFM services. With over 20 years of expertise, we design bespoke studies that reveal how compounds modulate neurotransmitter systems in health and disease. Using UHPLC/HPLC with electrochemical detection or mass spectrometry, we deliver robust PK/PD data to support confident CNS decision making.
Delivering integrated, modality-agnostic drug discovery to tackle complex biology, accelerate development, and advance innovative therapies with confidence.
Advancing next-generation ADCs through payload-focused design, integrated expertise, and collaborative innovation to deliver safer, more selective therapies.
Driving biologics innovation through integrated design, structural biology, and multidisciplinary expertise to accelerate next-generation therapies from concept to clinic.
Combining deep therapeutic expertise with translational insight to design strategies, reduce risk, and accelerate discovery programs toward clinical success.
Accelerating oncology drug discovery through integrated expertise, innovative modalities, and translational insight to deliver candidates with real clinical impact.
Driving immunology and inflammation drug discovery through tailored assays, translational models, and integrated expertise for faster clinical success.
Advancing CNS drug discovery through integrated models, translational biomarkers, and multidisciplinary expertise to overcome complexity and accelerate therapeutic innovation.
Designing and advancing differentiated small-molecule therapies for obesity and diabetes through integrated expertise, mechanistic insight, and translational strategies.
Inobrodib, an exciting, first-in-class oral anti-cancer drug in clinical development by CellCentric, was collaboratively designed, synthesised and supported on its pre-clinical journey by an integrated project team at Sygnature Discovery. Inobrodib is now showing promising results in Phase I and II trials for multiple myeloma and other cancer types.
It’s important to lay strong foundations for successful drug discovery at this first stage of the process. Our integrated target identification and validation platform combines AI with expert insights, and rigorous lab validation to guide targets through robust evaluation, ready for hit discovery.
Validated, high-quality hits, delivered through integrated technologies and expert collaboration, give you a confident starting point for faster drug discovery.
Turning promising leads into clinical candidates with speed, precision, and the scientific expertise to generate high-quality data and deliver real patient impact.
Delivering integrated, modality-agnostic drug discovery to tackle complex biology, accelerate development, and advance innovative therapies with confidence.
Advancing next-generation ADCs through payload-focused design, integrated expertise, and collaborative innovation to deliver safer, more selective therapies.
Driving biologics innovation through integrated design, structural biology, and multidisciplinary expertise to accelerate next-generation therapies from concept to clinic.
Combining deep therapeutic expertise with translational insight to design strategies, reduce risk, and accelerate discovery programs toward clinical success.
Accelerating oncology drug discovery through integrated expertise, innovative modalities, and translational insight to deliver candidates with real clinical impact.
Driving immunology and inflammation drug discovery through tailored assays, translational models, and integrated expertise for faster clinical success.
Advancing CNS drug discovery through integrated models, translational biomarkers, and multidisciplinary expertise to overcome complexity and accelerate therapeutic innovation.
Designing and advancing differentiated small-molecule therapies for obesity and diabetes through integrated expertise, mechanistic insight, and translational strategies.
Inobrodib, an exciting, first-in-class oral anti-cancer drug in clinical development by CellCentric, was collaboratively designed, synthesised and supported on its pre-clinical journey by an integrated project team at Sygnature Discovery. Inobrodib is now showing promising results in Phase I and II trials for multiple myeloma and other cancer types.
Isotopic Labelling of Proteins in a Eukaryotic System
“An Effective Solution for Labelling when Protein Folding is a Challenge”
In this case study we present data on β2m and an Interleukin demonstrating our ability to produce labelled proteins to support NMR structural studies using mammalian HEK293 cells. This now allows us to tackle and produce proteins for NMR that are not amenable to expression in E. coli.
Current status of labelling proteins for NMR studies
In structural biology, X‑ray crystallography, single‑particle cryo‑EM, and Nuclear Magnetic Resonance (NMR) have been instrumental in revealing the atomic-level structures of macromolecules, including peptides, proteins, glycoproteins, and nucleic acids. Among these approaches, NMR stands out for its unique ability to probe not only structure, but also molecular dynamics and interactions in solution under a wide range of physiologically relevant conditions. See our mini review on Protein NMR and its Role in Drug Discovery
Despite its versatility, NMR-based studies have historically faced a key limitation: the production of isotopically labelled proteins. Many established labelling strategies rely on Escherichia coli expression systems, which are not always suitable—particularly for complex eukaryotic proteins that require specialized folding machinery or post-translational modifications. This challenge is especially relevant for the systems discussed in this case study, which focuses exclusively on protein labelling in eukaryotic hosts.
It is important to note that both unlabelled and isotopically labelled macromolecules can be studied by NMR across a broad size range, from small molecules (~1 kDa) to megadalton complexes. However, isotopic enrichment becomes increasingly critical as molecular size increases. Proteins in the 3–20 kDa range typically only require uniform 15N or sometimes 15N/13C labelling, while those between 20–50 kDa often benefit from additional deuteration (2H). For larger systems (>50 kDa), extensive deuteration combined with selective 13C labelling of methyl groups (e.g., isoleucine, leucine, valine, alanine, methionine, and threonine) is generally necessary to obtain high-quality spectra.
In practice, the incorporation of stable isotopes (15N, 13C, and 2H) is achieved through de novo recombinant protein synthesis in cell culture or cell-free systems. Prokaryotic hosts—particularly E. coli—have been the workhorse of isotopic labelling due to their low cost, rapid growth, and adaptability to isotope-enriched media, including growth in 100% deuterium oxide (2H). These features make them especially well-suited for producing labelled proteins for NMR studies.
Why do we need to label proteins in a eukaryotic system?
However, prokaryotic systems have significant limitations when compared to eukaryotic expression platforms. They often lack the cellular machinery required for proper folding of complex proteins, correct disulfide bond formation, and essential post-translational modifications such as phosphorylation, methylation, and glycosylation. Consequently, many human proteins cannot be reliably expressed in E. coli. To address these challenges, alternative eukaryotic systems—including yeast, insect cells, and mammalian cell lines such as CHO and HEK cells—have been developed. While these systems enable more biologically relevant protein production, they introduce new challenges, particularly in achieving efficient and cost-effective isotopic labelling for NMR applications.
But, what are the reasons we don’t do that more routinely ?
In this context, a limited number of 15N‑ or 15N/13C‑labelling methodologies have been developed for yeast, insect, and CHO cells, with even fewer available for HEK cells. A major drawback of these approaches is the exceptionally high cost of isotopically enriched media, which typically ranges from approximately 3,500 to 6,500 USD per litre. These costs are often unsustainable for poorly expressed proteins or for high‑throughput NMR screening campaigns in fragment‑based drug discovery (FBDD).
Case study: Production of labelled-β2m and an Interleukin in HEK 293 cells
To support NMR‑based FBDD for our current and future partners, we are pleased to announce the launch of an isotopic labelling service for proteins expressed in HEK-293E eukaryotic system. β2‑microglobulin (β2m) and one interleukin were used as model proteins to validate our capabilities.
Absolutely key to the success of this project was the input from our cell science team. The HEK293-6E cell line was adapted to an affordable custom media prior to developing and optimising a method for expressing isotopically labelled proteins in this system. Our in-house expertise with the HEK293-6Es was crucial for developing these new protocols, when at first achieving expression proved to be challenging. β2‑microglobulin (β2m) and one interleukin were used as model proteins to validate our capabilities.
Both proteins were uniformly enriched with the 15N isotope and subsequently purified. Sample quality was assessed by 2D-NMR, focusing primarily on the amide resonances. The resulting spectra showed well‑dispersed and well‑defined resonances with good signal‑to‑noise ratios. For β2m, approximately 86 HN resonances were observed out of 94 expected. For the interleukin, ~102 HN resonances were identified out of 113 expected (Figure 1). Missing resonances for both proteins may be attributed to alternative conformations or post‑translational protein modifications; these aspects will be addressed in a forthcoming post in our NMR-blog series.
Figure 1. 2D-NMR spectrum of expressed proteins. β2m is displayed on the left, while the interleukin is on the right. The amide resonances are shown in blue
To demonstrate the potential of the isotopically labelled material, we selected β2m for further descriptive analysis. Based on the reported NMR assignments of β2m (BMRB: 51097; produced in E. coli), we were able to transfer approximately 96% (91 out of 94 expected) of the HN assignments to our sample (figure 2).
Figure 2. Amide assignment of β2m, transferred from BMRB: 51097. Unassigned resonances are labelled with *.
Subsequently, we continued with structural analysis of β2m assessed by NMR. Our findings suggest that β2m contains three distinct regions (1, 2 and 3) that appear to be less structured compared with the rest of the protein. These observations correlate well with the β2m three‑dimensional structure (PDB: 3CIQ), in which regions 1, 2, and 3 are located within the loops connecting the B–C, D1–E, and E–F β‑strands, respectively. In addition, our data suggest that the D2 β‑strand of β2m may also exhibit reduced structural order. See figure 3 for additional details.
Figure 3. Structural analysis of β2m in solution, approached by NMR. A. quantification of the protein compactness at residue level. Three distinctive unstructured regions are highlighted as 1, 2 and 3. Solid black line along the plot represent the moving average trendline of the data set; missing data can be associated with prolines, overlapped resonances or low signal/noise ratio in the NMR-experimentation B. Unstructured identified regions from A are mapped in red on the 3D structure of β2m. PDB: 3CIQ.
Summary and Impact
In summary, we successfully produced and isotopically labelled two human proteins using a eukaryotic expression system. In addition, we demonstrated the suitability of the produced material to support NMR studies. Please do not hesitate to contact us if you require any additional information or support for your current projects.