On February 26, 2025 Compugen Ltd. (Nasdaq: CGEN) (TASE: CGEN) a clinical-stage cancer immunotherapy company and a pioneer in computational target discovery, reported results generated in a joint research collaboration, combining Compugen’s AI/ML powered predictive computational discovery platform, Unigen, with high throughput single cell sequencing on Ultima’s UG 100 to uncover new insights on gene structure for immuno-oncology (Press release, Compugen, FEB 26, 2025, View Source [SID1234650650]).
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"We are excited to collaborate with Ultima Genomics, a pioneer in next generation gene sequencing, to enhance our proprietary gene sequencing database, which is part of our Unigen platform," said Eran Ophir, Ph.D., Chief Scientific Officer at Compugen. "We developed algorithms to study gene splicing in single cell resolution and applied it to analyze patient tumor samples to uncover new potential regulatory mechanisms in immuno-oncology. Some of the findings were presented at the AGBT conference. Compugen plans to further harness Ultima’s technology to develop its proprietary single cell atlases for accelerated discovery of new immunotherapies."
"We are excited to support Compugen’s capabilities in predictive computational discovery of new drug targets and development of new cancer immunotherapies," said Gilad Almogy, Founder and CEO of Ultima Genomics. "We built our innovative sequencing architecture and our UG 100 sequencing platform to enable researchers to unlock new applications and insights through lower cost sequencing and more omics data. The successful outcome of our collaboration with Compugen is a great example of an application that is data-starved due to the constraints of conventional sequencing technology and can be transformed through large scale data and AI/ML techniques. Single cell sequencing is also an excellent fit for our technology which is now compatible with the leading library prep technologies."
Dr. Roy Granit, Head of Computational Discovery at Compugen is the lead author on a poster presented by Ultima Genomics at the Advances in Genome Biology and Technology (AGBT) 2025 general meeting on February 25, 2025, in Marco Island, Florida.
Poster presentation details:
Title: Using 3′ Single Cell Sequencing to Study Patient-Derived Tumor Cells Reveals Enhanced Potential to Study Differential Splicing at the Cell Type Level
Poster number: 224
Date and time: Tuesday, February 25, 4:45 p.m. – 6:10 p.m. ET
Leading author: Roy Granit, Ph.D., Director, Head of Computational Discovery, Compugen, Israel
Presenter: Zohar Shipony, Ph.D. Ultima Genomics, United States
Key Findings:
Comparative analysis using tumor samples from cancer patients, found high consistency in single-cell expression levels across Ultima Genomics’ UG 100 and Illumina’s Novaseq 6000 sequencing platforms.
UG 100 offers clearer demarcation of 3′ mRNA transcript end and provides a unique opportunity to study gene structure, which can potentially be harnessed to better understand tumor biology and immune regulation.
Gene structure information identified in this approach is contributing to the predictive models of Unigen.
The poster is available on the publications section of Compugen’s website, www.cgen.com.
About Unigen
Compugen has been at the forefront of decoding cancer biology, with its AI/ML powered predictive computational discovery platform, recently branded as Unigen. Unigen is Compugen’s code-to-cure, flexible-loop platform for the computational prediction of novel drug target discovery and development of cancer immunotherapy. Unigen combines Compugen’s deep scientific knowledge, AI/ML predictive algorithms and a cloud-based, technology-agnostic platform integrating a variety of biological data such as multi-omics, single-cell RNA sequencing and spatial omics data. The outcomes from Compugen’s preclinical and clinical trials enrich the proprietary knowledgebase to discover additional novel drug targets and further understand complex biology. To date, Unigen has yielded multiple novel immuno-oncology drug targets, potential first- or best-in-class clinical stage immuno-oncology programs, validating partnerships with multiple pharmaceutical companies and undisclosed programs in its early-stage pipeline.