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Evgeniou, L.

Publications and source records attributed to Evgeniou, L..

2 recordsLinked to original sources

Principles of in situ protein sequencing: expansion microscopy-adapted Edman degradation and amino acid recognition

The ability to map protein identity, with resolution sufficient to infer interactions, would support analysis of how proteins work together, or malfunction, in biological processes and diseases. Although several emerging technologies aim towards single-molecule protein sequencing, they require proteins to be removed from the nanoscale spatial context of cells and tissues. Expansion microscopy (ExM) has facilitated a diversity of chemical analyses by isotropically separating molecules throughout a specimen after permeation via a charged hydrogel, followed by gel swelling. Here, we adapt key protein sequencing steps - Edman degradation and amino acid recognition - to the ExM gel context. Using testbed peptides in ExM gels, we show that N-terminal amino acids can be recognized over multiple cycles of in-gel Edman degradation. This principle-oriented study demonstrates sequencing chemistry on defined synthetic constructs, rather than endogenous proteins in biological samples. These results establish principles of in situ protein sequencing and provide a framework for future in situ protein sequencing developments, including the development of higher specificity and affinity amino acid binders.

biochemistry↗

Simulating a for-loop in the human genome: Design and evaluation of recombinase genetic programs that count to three.

Pluripotent cells specialize into numerous cell types by receiving external signals, making fate decisions, and executing differentiation functions - a paradigm similar to computer algorithms. While advances in biosensor design have enabled cells to respond to diverse stimuli, the ability to maintain a synthetic memory of the cells experiences that then informs its behaviors remains elusive. Here, we developed a system for cellular memory-driven behaviors by simulating a "for-loop" that counts to three using recombinase STepwise gene Expression Programs (STEPs). STEPs were genomically integrated into human cells, genotyped through targeted nanopore sequencing, and evaluated for function through changes in fluorescent reporter expression. While all STEPs were capable of heritable memory and sequential gene expression, the STEP design using tyrosine recombinases for successive excisions (TRex) significantly outperformed the others tested. We then used live cell imaging to track TRex cells as they incremented from count zero to three and observed the successive emergence of four cell states from an initially homogeneous population. The STEPs framework provides biological memory and conditional expression capabilities that, coupled with input mechanisms such as biosensors, can start to approach a programming language for biology.

synthetic biology↗