Parag Mallick
Analyst · Guggenheim
Thanks, Sujal. Overall, Q1 was a productive quarter for our product and scientific teams. From the Voyager platform development perspective, we made meaningful progress across our assay portfolio. In addition, we gained greater clarity on the remaining work required to reach our next assay development milestones. Critically, we are also increasingly applying the platform to generate biological insights not accessible to existing proteomics technologies, which drives enthusiasm and engagement from the scientific community. In addition to our ongoing platform and assay development activities, we continue to advance exciting studies with our collaborators. These studies highlight the unique insights enabled by Iterative Mapping and by the Voyager platform. During Q1, we continued supporting the Buck Institute for Research on Aging and the Allen Institute for Brain Science as they advance findings towards publication. We believe that these projects have generated the most extensive and quantitative view of the Tau proteoform landscape to date. These studies now span multiple genetic risk factors, brain regions and disease severities, clearly demonstrating that Iterative Mapping can reveal biology beyond the reach of conventional proteomics. Taken together, these studies show that our data is not only technically robust, but biologically meaningful. We believe this new class of proteoform level information can deepen understanding of disease mechanisms, uncover novel therapeutic targets and enable more precise biomarkers, ultimately helping improve drug discovery and development. Among the most exciting results were findings from the Buck Institute performed with the Alpha instrument at their site. They specifically examined the relationship between the gene ApoE, which is strongly associated with risk of early onset Alzheimer's disease and proteoforms of Tau. The specific linkage between ApoE and Tau was previously intractable to study. The Buck Institute's data revealed for the first time distinctive proteoform distributions associated with ApoE mutations. We look forward to them sharing their findings in a forthcoming manuscript submission. Progress on Proteoform assays was strong in Q1. During the quarter, we formalized our service lab capability to process customer samples, an important operational milestone as we support the Iterative Mapping Early Access Program. Underpinning this milestone, we completed a formal verification and validation study of the service lab and also standardized our customer-facing data and results packages so that researchers receive consistent publication quality outputs. The assay as performed within our service lab passed verification, demonstrating that it met our requirements for accuracy, dynamic range, reproducibility and stability. We look forward to sharing initial biological findings from our early access program engagements in future quarters. In parallel, we advanced our alpha-synuclein proteoform program under the Michael J. Fox Foundation funded collaboration with Weill Cornell Medicine-Qatar. During Q1, we made early progress on assay development using commercially available affinity reagents. Although custom reagent development from our Weill Cornell collaborators experienced delays related to the ongoing conflict in the Middle East, we progressed the assay with commercially available reagents and will incorporate collaborator developed reagents as they become available. Despite this timing shift, the program is on track scientifically, and we view this collaboration as an important opportunity to further demonstrate the breadth of Iterative Mapping beyond Tau. While much of our current momentum is in neurodegeneration, it's important to emphasize that Iterative Mapping is a highly general approach and not limited to neuroscience. We see meaningful long-term potential across oncology, immunology, cardiology and beyond. In Q1, we made meaningful progress on our oncology proteoform down selection process. After evaluating multiple candidate proteins across key oncology indications, we have narrowed our focus to a prioritized set of targets that we believe offer the strongest combination of biological relevance, assay feasibility and customer interest. Examples of proteins we are examining for developing proteoform assays include EGFR, AKT1 and p53. Proteins like these have been prioritized from a larger field of candidates because they represent a wide spectrum of proteoform complexity that is clearly connected to disease processes of interest in pharma and across biomedical research. Critically, they are among the most clinically relevant signaling proteins in cancer biology. EGFR is a well-validated oncology target with numerous approved therapies and known resistance driving proteoforms. AKT1 sits at the nexus of the PI3K mTOR pathway and is implicated in a broad range of tumor types with multiple emerging therapeutics. And p53 is the most frequently mutated gene in human cancer. Across each of these targets, proteoform level resolution is essential to developing next-generation therapies, targeting and optimizing existing therapies and generally accelerating drug development pipelines. Given our progress in Q1, we believe we are on target for having one oncology-focused proteoform assay enter early access in the second half of 2026, consistent with the time line we have communicated. We believe oncology represents a compelling next market opportunity, providing access to a broader customer base while also aligning well with the capabilities of the Voyager platform to deliver proteoform level resolution and highly reproducible measurement in complex biological systems. In summary, we have made significant progress on both transitioning our existing Iterative Mapping-based proteoform assay to a commercial offering and expanding the portfolio. This quarter also saw good progress on advancing our Iterative Mapping assay for broad-scale proteome analysis. As a reminder, the core components of the Voyager platform are assay agnostic, relying upon the same instrument and software stack. The primary differences between the assays are in the consumables. Consequently, advances in the maturity of targeted proteoform assays carry over to supporting broadscale assays. This quarter, we saw advances in key components of our broadscale assay configuration, including in our flow cells, surface chemistry and computational models that are expected to form the basis of our launch configuration. We have seen performance improvements with each iteration and side-by-side comparisons of our new assay configuration versus the prior configuration show meaningful gains in critical areas, including our ability to increase the percentage of our affinity reagent catalog that is compatible with our assay configuration. In previous quarters, we have mentioned that we were concurrently iterating our assay configuration alongside testing a large portion of our affinity reagent catalog on new configurations towards the goal of increasing the percentage of our catalog that is compatible with our assay configuration. Concretely, our current catalog consists of thousands of probes that have been shown to bind to trimer epitope targets. However, this is the first step in a rigorous characterization process that includes verifying probes bind in a given assay configuration with strong differentiation between on-target and off-target binding in a single molecule context. In addition, extensive profiling is performed to define models for which epitopes each probe recognizes. We require each of these criteria to declare a probe to be assay compatible. In Q1, we nearly tripled the number of probes that have been qualified as compatible. The major driver of this increase has been the newer assay configurations and our work testing a larger portion of the catalog through these configurations. Outside of these studies, we also achieved our largest number of high-cycle decode experiments to date. Furthermore, we have been continually stepping up the complexity of our sample inputs and are now routinely including lysate mixtures and full lysates in our large-scale experiments. Additionally, we are now actively developing a validation pipeline for single molecule identifications, an important commitment to scientific rigor. Because the Voyager platform may identify proteins at levels not previously observable, we are focused on ensuring we have robust methods to validate those identifications and benchmark them against orthogonal analysis methods. We expect to provide further updates as this work progresses through the year. Overall, we believe the progress this quarter reflects maturation of the Voyager platform across both commercial-ready targeted applications and next-generation broadscale capabilities. With that, I'll turn the call over to Anna to review our financials.