Cambridge Healthtech Instituteの第15回年次
Optimizing Protein Expression
タンパク質発現の最適化
Exploring, Engineering and Enhancing Platforms for Efficient Recombinant Protein Production
効率的な組換えタンパク質生産のプラットフォームの探究、工学、強化
2025年5月13日 - 14日 EDT(米国東部標準時・夏時間)
5月13日(火)
1:50 pmDessert Break in the Exhibit Hall with Poster Viewing
EXPANDING THE EXPRESSION TOOLBOX
発現ツールボックスの拡大
FEATURED PRESENTATION: Optimizing Codon Bias for Improved Productivity in Cellular Stress
Susan Sharfstein, PhD, Professor of Nanoscale Science and Engineering, University at Albany
Mammalian cell cultures undergo a variety of stresses under bioprocess conditions, including nutrient limitations, accumulation of waste products, and increased osmolarity. In response to these stress conditions, cells
respond by changing their gene expression and by altering their tRNA prevalence and tRNA synthetase enzymes and exhibiting epitranscriptomic modifications to their tRNAs. By analyzing these changes, we can recode
both the gene sequence for our therapeutic protein and transcription factors to increase productivity.
Bioinformatics and AI Approaches in Construct Design towards Soluble (and Crystallizable) Proteins
Christopher Cooper, PhD, Director and Head of Protein Sciences, CHARM Therapeutics
Construct design towards soluble protein fragments for biochemical, biophysical, and structural analyses has been greatly facilitated by algorithms predicting features such as domains, disorder, and secondary elements.
The recent advent of AI tools such as AlphaFold2, however, has transformed in silico structural biology. Here we present practical tips for using bioinformatics and AI tools in construct design to help users improve
the likelihood of obtaining functional proteins for their needs.

Takashi Ebihara, COO, GeneFrontier Corporation
PUREfrex is a revolutionary, fully reconstituted cell-free protein-expression system designed to redefine protein production. Its unparalleled flexibility suits a wide range of applications, including the production of difficult-to-express/therapeutic proteins and high-throughput screening. PUREfrex enables efficient in vitro display, facilitating the discovery of novel antibodies and cyclic peptides, and combined with AI/ML, PUREfrex accelerates the development of next-generation biologics.
4:00 pmRefreshment Break in the Exhibit Hall with Poster Viewing
SPEED NETWORKING
スピードネットワーキング
How Many New Contacts Can You Make?
Kevin Brawley, Project Manager, Production Operations & Communications, Cambridge Innovation Institute
Bring yourself and your business cards or e-cards, and be prepared to share and summarize the key elements of your research in a minute. PEGS-Boston will provide a location, timer, and fellow attendees to facilitate
the introductions.
Targeted Dual Selection to Optimize Transposon Stable Pool Generation of Multispecifics in Large Molecules Research
Julie Johnston, Scientist, Large Molecule Research, Sanofi
Expanding toolbox options to produce multispecifics to increase protein yields and promote correct molecule formation during expression can alleviate downstream purification bottlenecks. Targeted Dual Selection (TDS) with transposon guided semi-targeted gene integration can be used to optimize stably-expressed pools to enhance protein titers and pairing immediately off capture purification. We demonstrate that transient data can effectively predict vector combinations for larger scale TDS stable pools. Utilizing this technology early in research can simplify purification strategies and increase production yields, facilitating successful project progressions.
Phase-Separating Synthetic Organelles to "Eukaryotize" E. coli Protein Expression
Haotian Guo, PhD, Founder & CEO, Ailurus Bio
Bacterial hosts like E. coli enable rapid, cost-effective protein production but face challenges such as misfolding, aggregation, toxicity, and the need for complex modifications like disulfide bonds. Here, we
introduce PandaPure, a synthetic organelle framework driven by liquid-liquid phase separation that "eukaryotizes" E. coli, transforming its capabilities for streamlined expression and purification. This approach
simplifies workflows, improves expression success rates, and delivers high-purity proteins through straightforward extraction. By bridging the strengths of bacterial and eukaryotic systems, PandaPure offers a scalable,
efficient, and transformative solution to longstanding challenges in protein production for research, diagnostics, and industrial applications.
Setup and Applications of Modular Protein Expression Toolboxes (MoPET) for Mammalian Systems
Ernst Weber, PhD, Head, Molecular Design & Engineering, Bayer AG
The Modular Protein Expression Toolbox (MoPET) empowers protein engineers with a flexible and efficient approach to generate both single-expression constructs and combinatorial libraries. The system utilizes standardized,
reusable DNA modules, enabling rapid and reliable assembly of constructs tailored to diverse experimental needs. This presentation highlights MoPET's capabilities, offering practical insights and real-world use cases
to demonstrate its potential to transform protein expression workflows and accelerate discovery.
6:10 pmClose of Day
6:10 pmDinner Short Course Registration
5月14日(水)
7:15 amRegistration and Morning Coffee
WORKFORCE INNOVATION BREAKFAST
ワークフォースイノベーション朝食会

Workforce Transformation: An Evolving Approach to Achieve Innovation
(Continental Breakfast Provided) Co-Organized with Thinkubator Media
Tana Joseph, PhD, Founder & Director, Equity, Diversity, Inclusion, & Decolonisation for the Sciences, AstroComms, Public Engagement Manager, University of Cambridge
This panel will explore the pivotal decisions shaping our approach to DEI, focusing on workforce innovation and transformation. Panelists will discuss how these strategies are driving impactful change within organizations,
fueling innovation, and redefining workplace culture.
PLENARY KEYNOTE SESSION
プレナリーセッション(基調講演)
Ex vivo and in situ Engineered Stroma Targeted CAR T Cells for the Treatment of Solid Tumors and Fibrosis
Ellen Puré, PhD, Chair & Professor, Biomedical Sciences, University of Pennsylvania
Engineered chimeric antigen receptor expressing T cells (CARTs) have had a major impact on the treatment of hematopoietic cancers. Solid tumors however, are largely resistant to malignant cell-targeted CAR Ts due to
a stroma-rich microenvironment. This talk will provide proof-of-concept for therapeutic efficacy of ex vivo and in situ engineered stroma-targeted CAR Ts in solid tumors and tissue fibrosis, and
their capacity to synergize with chemo- and other immune-based therapies.
9:35 amCoffee Break in the Exhibit Hall with Poster Viewing
ENTREPRENEUR MEET-UP
起業家のミートアップ
Fostering Entrepreneurship and Models for Start-Ups
Natalie Galant, CEO of Paradox Immunotherapeutics and Termeer Fellow, and Catharine Smith, Executive Director of the Termeer Foundation, are co-hosting an entrepreneurship meet up. www.termeerfoundation.org
Are you a founder or aspiring founder? Are you an academic entrepreneur? Join Natalie and Catharine and PEGS attendee founders and entrepreneurs for networking and discussion.
We will discuss existing resources for academic entrepreneurs, founders, and start-up leaders, and areas where the ecosystem can better support you.
DEVELOPING EXPRESSION AND PRODUCTION PLATFORMS
発現・生産プラットフォームの開発
Enhancing the Secretion-Antigen-Specific Miniproteins with High Valency in Pichia pastoris
Arturo Vera-Rodriguez, PhD, Head, Bioprocess Development, AI Proteins
Pichia pastoris is a low-cost expression host used to produce protein-based therapeutics. Two major drawbacks of this system are low-protein secretion levels and proteolysis of the product during fermentation.
We overcame these shortcomings by formulating a new chemically-defined growth medium and using site saturation mutagenesis. These changes increased the secretion of intact multivalent miniproteins, containing multiple
target specificities codified within a single gene, by more than 20-fold.
Pool-Based Screening in Pichia pastoris for Rapid Evaluation of Secreted Protein Production
Lauren T. Cordova, PhD, Senior Scientist, Merck & Co. Inc.
Pichia pastoris is known for secreted protein production. To enhance the development workflow, a pool-based screening method was developed following strategies utilized in CHO cell line development. Expression of multiple protein and signal sequences were evaluated to identify optimal conditions for protein secretion. Individual strains from high, medium, and low-producing pools demonstrated comparable titer to their corresponding pool. This approach enabled a wide experimental design space with minimal resources.

Claudia Chiocchini, Manager, Protein Research & Development, R&D, Thermo Fisher Scientific
The discovery and optimization of antibodies, whether through traditional methods or with the assistance of artificial intelligence, necessitates rapid and reliable data generation. Here we introduce a high-throughput platform for synthesizing microgram amounts of monoclonal antibodies. Our platform integrates DNA normalization, transfection, antibody purification, and buffer exchange within our Manufacturing Execution System (MES), ensuring traceability throughout the entire workflow.
11:55 amSession Break
INTERACTIVE DISCUSSIONS
インタラクティブディスカッション
Interactive Breakout Discussions are informal, moderated discussions, allowing participants to exchange ideas and experiences and develop future collaborations around a focused topic. Each discussion will be led by a
facilitator who keeps the discussion on track and the group engaged. To get the most out of this format, please come prepared to share examples from your work, be a part of a collective, problem-solving session, and
participate in active idea sharing. Please visit the Interactive Breakout Discussions page on the conference website for a complete listing of topics and descriptions.
EXPANDING THE EXPRESSION TOOLBOX: CELL-FREE EXPRESSION
発現ツールボックスの拡大:無細胞発現系
KEYNOTE PRESENTATION: Establishing High-Yielding Cell-Free Glycoprotein Synthesis Platforms for Therapeutic Production
Michael Jewett, PhD, Professor, Biogengineering, Stanford University
Protein medicines have revolutionized our ability to prevent and treat human diseases. However, the World Health Organization estimates that at least 30% of the world’s population still lacks access to essential
medicines. We are addressing this need by creating a portable, decentralized synthesis platform to make medicines when and where they are needed. Here, I describe work in advancing cell-free glycoprotein synthesis
systems in support of this objective.
Pushing the Boundaries of Cell-Free Protein Synthesis: Engineering of the E. coli-Based XpressCF+ System for Clinical Manufacturing of Next-Generation Antibody-Drug Conjugates
Jacquelyn Blake-Hedges, PhD, Senior Scientist, Protein Biochemistry, Sutro Biopharma
Sutro Biopharma’s cell-free protein synthesis system is a powerful platform to produce antibodies containing non-natural amino acids (nnAAs) that facilitates homogenous site-specific conjugation of antibody-drug conjugates
(ADCs). This talk will highlight the cell-line engineering approaches used to enable the GMP manufacturing of IgGs containing nnAAs for clinical ADC production, including ADCs bearing two payloads with different mechanisms
of action and ADCs with high drug-to-antibody ratios (>8).
Production and Characterization Pipeline of Therapeutic Proteins Using Cell-Free Synthesis
Takanori Kigawa, PhD, Senior Scientist, RIKEN Center for Biosystems Dynamics Research
We have developed a cell-free protein production pipeline that significantly accelerates the synthesis of therapeutic proteins, including cytokines, antibodies, and membrane proteins. The automated system produces microgram-to-milligram
quantities of multiple proteins simultaneously, enabling advanced characterization methods, including in-cell NMR. The presentation highlights key innovations that streamline protein production and interaction studies,
offering substantial advancements for the design, development, and optimization of biotherapeutic candidates.
4:00 pmIce Cream Break in the Exhibit Hall with Poster Viewing
Eliminating Lactate Production in CHO Cells: Impacts on Protein Production and Cell Biology
Hooman Hefzi, PhD, Associate Professor, Advanced Mammalian Cell Engineering Group, Department of Biotechnology and Biomedicine, Technical University of Denmark
Lactate production is ubiquitous in proliferative mammalian cells and poses challenges for biopharmaceutical production as its accumulation inhibits cell growth and protein production. We have eliminated lactate production
in CHO cells by knocking out multiple genes using CRISPR/Cas9. These cells remain amenable for the production of diverse biotherapeutic proteins, reaching industrially relevant titers and maintaining glycosylation.
We will also share an initial assessment of the biological impact of this knockout, including how metabolism and transcriptional profiles are perturbed.
Optimization of High-Density HD-CHO Transient Protein Production for a Robust Early-Stage Material Generation
Sultan Ciftci-Yilmaz, PhD, Senior Scientist II, Protein Design & Production, Merck Research Labs
Transient protein production in mammalian cells is vital for biopharmaceutical industry, enabling rapid molecule generation for early-stage biologics discovery. We present an optimized transfection protocol using high-density
HD-CHO cell cultures enhanced by dimethylacetamide (DMA) and mild hypothermia. Our Design of Experiments (DOE) approach has doubled protein titers, streamlined the workflow, and minimized complexity. This presentation
shares insights into our optimization method and its potential to accelerate protein production development.
PANEL DISCUSSION: Speaking the Same Language—Insights from Protein and Data Scientists
Christopher Cooper, PhD, Director and Head of Protein Sciences, CHARM Therapeutics
Data scientists view data in black and white while protein scientists consider the grey. Hear from both disciplines as they address:
- Can we enhance protein production using machine learning?
- What are the main challenges?
- What data to capture, in what format, and for what purpose?
- How do we simplify data capture to encourage data entry and consistency?
- How do we reduce the need to curate, “clean up” the data before applying ML?
- What is enough data for protein production to apply ML algorithms?
- The importance of including negative data
6:40 pmNetworking Reception in the Exhibit Hall with Poster Viewing
7:40 pmClose of Optimizing Protein Expression Conference
* 不測の事態により、事前の予告なしにプログラムが変更される場合があります。
2025年 プログラム
表示する:

工学ストリーム

腫瘍ストリーム

多重特異性ストリーム

免疫療法ストリーム

発現ストリーム

分析法ストリーム

免疫原性ストリーム

新興治療ストリーム

機械学習ストリーム