SBIR/STTR Research Award

Optimizing Antibody Production in CHO Cells Using Epi-MAX Technology to Increase Heavy and Light Chain Expression

Award identifier 768c4161113f4f66414b37b33415d4810608c046c0113999b9b253588c001fcfAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$350,000

Program and phase

STTR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
CODOMAX INC.
Proposal award date
2024-04-15
Contract end date
2025-04-14
UEI
EV4LS8M87WU7
Solicitation number
PA23-232
Topic code
NCATS

Research abstract

ABSTRACT Codomax has developed the Epi-MAX platform, an integrated mass spectrometry omics and computational technology for enhanced protein synthesis. Current protein manufacturing processes typically employ expression vectors inserted into heterologous host cells, where gene, regulatory and cell features limit protein production; some proteins are difficult to express in high yields due to inefficiently translated or sub-optimally transcribed mRNA. Codomax's innovation hinges on the discovery that cells regulate translation in response to stress by altering the tRNA pools to enhance translation of mRNAs with distinct codon usage patterns. The Epi- MAX platform has leveraged this tRNA codon-based mechanism to increase recombinant protein expression in cells by matching codon usage in the target gene to the stress-reprogrammed tRNAs. Previously, Codomax demonstrated stress-induced tRNA reprogramming in mammalian systems and propose to extend the platform to antibody production in Chinese hamster ovary (CHO) cells. Underlying antibody production in CHO cells is the stress of high protein expression, evidenced by Codomax's observed changes in the levels of mRNAs and proteins specific to stress response, protein folding and metabolic genes when comparing high to low expressing clones. High antibody expression reprograms protein expression machinery with dramatic changes in ribosome components and translation factors. Codomax has shown that available levels of the CREB1 transcription factor, which drives target antibody expression, decrease in high expressing clones. Thus, the specific aims for Codomax's project include application of the Epi-MAX platform to analyze high and low productivity CHO clones for the model therapeutic antibody to identify tRNA systems that limit heavy chain production, and then identify tRNAs that when over-expressed, boost antibody expression (Aim 1). Codomax will then increase target heavy and light chain mRNA transcription 200%, by re-engineering the CMV-regulating CREB1 transcription factor to have increased stress-induced translation (Aim 2). Codon optimized CREB1 will be used to enhance mRNA translation during the stress of antibody expression, with maximized CREB1 transcription factor levels driving increased mRNA transcription from the CMV promoter. The CREB1 gene will be re-engineered using Epi-MAX data from Aim 1. Then CRISPR-Cas9 approaches will be used to replace the native CREB1 gene with the CREB1-codon optimized sequence and mRNA expression will be evaluated for the heavy and light chains under high expression conditions. Aim 2 will result in the generation of gene sequences, plasmids and CRISPR reagents for CMV-based transcription in several CHO lines. The successful completion of Codomax's Phase I project will demonstrate proof-of-concept that the Epi-MAX platform can be used to increase antibody yield from CHO cells and generate designer reagents that promote boosted antibody production.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

3 SBIR/STTR records share this UEI (2023–2024). Reported award amounts total $1,024,999. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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