# Deciphering the Sequence Code for Compositional Control of Phase Separated Biomolecular Condensates > **NIH NIH F32** · UT SOUTHWESTERN MEDICAL CENTER · 2020 · $64,926 ## Abstract Project Summary/Abstract Biomolecular condensates formed via liquid-liquid phase separation (LLPS) are important organizers of cellular biochemistry. Protein LLPS is often mediated by contacts between intrinsically disordered proteins or regions (IDPRs) within larger proteins, frequently in cooperation with multivalent folded interaction domains. The space of IDPR sequences that support LLPS has been only sparsely sampled, owing to the low- throughput techniques currently used. Thus, a general framework describing the connections between IDPR primary sequence, conformational ensemble, and LLPS remains elusive. By developing and applying novel high-throughput methods, the work I propose aims to break the bottlenecks of classical biochemistry. I will design a ~10,000-sequence DNA library encoding GFP-tagged IDPRs, varying amino acid composition and residue patterning in the primary sequence. Library sequences will be constructed by high-throughput gene synthesis and sequences will be individually expressed microfluidic droplets using in vitro transcription/translation. I will then use fluorescence-activated droplet sorting to select droplets bearing sequences that support LLPS, which will be identified by high-throughput sequencing of DNA from sorted droplets. Computational simulations and biochemical/biophysical characterization will demonstrate how primary sequence and conformation ensemble are connected in IDPR phase separation. Further applying this approach, I will identify IDPR features that modulate LLPS by multivalent folded domains. Finally, I will identify IDPR features that govern rates of condensate solidification, a process that is accelerated in disease- associated mutants of condensate-forming IDPRs. The proposed work will provide a set of rules governing phase separation by IDPRs, backed up by an empirical dataset of unprecedented scale. This work will be carried out in the lab of Dr. Michael Rosen, a pioneer in the field of biomolecular condensates, at the University of Texas Southwestern Medical Center, a leading biomedical research institute with excellent facilities and investigators in a wide array of fields. As part of this research training plan, I will be take on a robust series of career development and training activities, including coursework in the responsible conduct of research, grant writing, laboratory management, and educational techniques. I will also have numerous opportunities to attend seminars and conferences, where I will be able to present my work in poster sessions and talks, and opportunities to publish my work in peer-reviewed journals. I also plan to develop a teaching portfolio and gain mentorship experience by training graduate students, rotation students, and visiting undergraduates. In summary, the research training plan proposed here will provide me with the skills, knowledge, and experience necessary to fulfill my long-term goal of becoming an independent investigator. ## Key facts - **NIH application ID:** 9909965 - **Project number:** 1F32GM136058-01 - **Recipient organization:** UT SOUTHWESTERN MEDICAL CENTER - **Principal Investigator:** Andrew S Lyon - **Activity code:** F32 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2020 - **Award amount:** $64,926 - **Award type:** 1 - **Project period:** 2020-02-01 → 2022-01-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/9909965 ## Citation > US National Institutes of Health, RePORTER application 9909965, Deciphering the Sequence Code for Compositional Control of Phase Separated Biomolecular Condensates (1F32GM136058-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9909965. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*