Laboratory Information Management Software for Engineered Mini-protein Therapeutic Workflow
The Olson Lab at the Fred Hutchinson Cancer Research Center has developed a LIMS named Optide-Hunter for a generalized engineered protein compounds workflow that tracks entities and assays from creation to preclinical experiments. This was published in the journal BMC Bioinformatics with the title “Laboratory Information Management Software for Engineered Mini-protein Therapeutic Workflow“. Learn more here, then try Optide-Hunter for yourself.
Protein-based therapeutics are a fast-growing class of novel medical interventions in areas such as cancer, infectious disease, and inflammation. The protein engineering process involves key strategies for optimizing desired therapeutic properties such as reduced immunogenicity, increased stability for storage, increased target specificity, etc. The Olson Lab experiments with nature-inspired bioengineered mini-proteins modified with synthetic chemistry to produce “Optides” (optimized peptides), which hold promise for improving the performance of potential therapies.
Development of protein therapeutics requires many iterations of modification and testing. It is critical to track details about sample sources, lineage, assay outcomes, and more in a query-able way. Scaling up these processes requires a cost-effective, flexible data management system. The Olson Lab has sought to construct such a system from limited resources for a non-commercial organization.
Integrating lab data for a geometrically expanding therapeutic protein development process presents significant hurdles. There are partial solutions found in pre-packaged software, but they are neither affordable nor adaptable enough for an ever-evolving academic research environment. Furthermore, many of these solutions lock down data in proprietary formats or require export and transformation in order to perform analyses.
Professional support from LabKey experts, which accompanies any Premium Edition of LabKey Server, accelerated the Olson Lab’s progress toward a solution specifically targeted to their engineered mini-protein workflow. Custom development of new modules also enabled them to extend beyond even the premium features currently available.
The Optide-Hunter is used to store, extract, and view data for various therapeutics projects. It contains a compound registry, in-silico assays, high throughput production, large-scale production, in vivo assays, and data extraction from FreezerPro (a specimen-tracking database). This custom implementation was achieved using data transformation scripts and customized data import pipelines on top of core LabKey modules. Optide-Hunter also supports automated chromatogram classification. It includes HPLCPeakClassifierApp, a stand-alone application for external pre-processing of high performance liquid chromatography (HPLC) data prior to loading. All of this is open-source to assist other users in customizing it for their unique workflows. The ability to analyze, visualize, and interrogate the Optide data completely within LabKey Server reduces duplication and the risk of errors.
Optide-Hunter, built on the LabKey Server platform, can be instantly used and adapted by new users without a big financial commitment. In fact, you can try the Optide-Hunter yourself now using either a read only example or by creating your own hosted trial version where you can upload your own data.
In the future, the Optide-Hunter will be expanded to support monoclonal antibody (mAb) data, adding additional options for development of new therapies.
- Open the Optide-Hunter by clicking the button above. It will open on a new tab.
- Click the Optides project icon at the bottom of the page.
- Here you see the uploaded data files and a menu of options along the top.
- Select Compounds Registry > Samples to see the list of sample sets. Click Purpose of Compounds Registration for Production in the right hand column to learn how to register homologues, variants, and constructs.
- Next, select HTProduction > Assays from the top menu bar and click Importing Flow Cytometry Data to learn how you would upload data to the NovoCyte assay.
- Note that you can explore our example here, but cannot make changes or add your own data to this shared read-only server.