Biology subjects

Owen, J. A.

Publications and source records attributed to Owen, J. A..

3 recordsLinked to original sources

bioRxiv2024

Protein Editing using a Concerted Transposition Reaction

Protein engineering through the chemical or enzymatic ligation of polypeptide fragments has proven enormously powerful for studying countless biochemical processes in vitro. In general, this strategy necessitates a protein folding step following ligation of the unstructured fragments, a requirement that constrains the types of systems amenable to the approach. Here, we report an in vitro strategy that allows internal regions of target proteins to be replaced in a single operation. Conceptually, our system is analogous to a DNA transposition reaction, but employs orthogonal pairs of split inteins to swap out a designated region of a host protein with an exogenous molecular cassette. We show using isotopic labeling experiments that this protein transposition reaction is concerted when the kinetics for the embedded intein pairs are suitably matched. Critically, this feature allows for efficient manipulation of protein primary structure in the context of a native fold. The utility of this method is illustrated using several protein systems including the multi-subunit chromatin remodeling complex, ACF, where we also show protein transposition can occur in situ within the cell nucleus. By carrying out a molecular cut and paste on a protein or protein complex under native folding conditions, our approach dramatically expands the scope of protein semisynthesis.

biochemistry↗

bioRxiv2022

Design principles of 3D epigenetic memory systems

The epigenetic state of a cell is associated with patterns of chemical modifications of histones ("marks") across the genome, with different marks typical of active (euchromatic) and inactive (heterochromatic) genomic regions. These mark patterns can be stable over many cell generations--a form of epigenetic memory--despite their constant erosion due to replication and other processes. Enzymes that place histone marks are often stimulated by the same marks, as if "spreading" marks between neighboring histones. But this positive feedback may not be sufficient for stable memory, raising the question of what is. In this work, we show how 3D genome organization--in particular, the compartmental segregation of euchromatin and heterochromatin-- could serve to stabilize an epigenetic memory, as long as (1) there is a large density difference between the compartments, (2) the modifying enzymes can spread marks in 3D, and (3) the enzymes are limited in abundance relative to their histone substrates. We introduce a biophysical model stylizing chromatin and its dynamics through the cell cycle, in which enzymes spread self-attracting marks on a polymer. We find that marks localize sharply and stably to the denser compartment, but over several cell generations, the model generically exhibits uncontrolled spread or global loss of marks. Strikingly, imposing limitation of the modifying enzymes--a plausible but oft-neglected element--totally changes this picture, yielding an epigenetic memory system, stable for hundreds of cell generations. Our model predicts a rich phenomenology to compare to experiments, and reveals basic design principles of putative epigenetic memory systems relying on compartmentalized 3D genome structure for their function.

biophysics↗

bioRxiv2018

Functionally Coherent Transcription Factor Target Networks Illuminate Control of Epithelial Remodelling and Oncogenic Notch

BackgroundCell identity is governed by gene expression, regulated by Transcription Factor (TF) binding at cis-regulatory modules. Decoding the relationship TF binding patterns and the regulation of cognate target genes is nontrivial, remaining a fundamental limitation in understanding cell decision-making mechanisms. Identification of TF physical binding that is biologically neutral is a current challenge. We studied cell identity in the context of Epithelial to Mesenchymal Transition (EMT), a cell programme fundamental for normal embryonic development that contributes to tumour progression and fibrosis.\n\nResultsWe developed the NetNC software for discovery of functionally coherent TF targets. NetNC was applied to analyse gene regulation by the EMT TFs Snail, Twist in early embryogenesis and also to modENCODE HOT regions. Predicted neutral binding accounted for 50% to [≥]80% of candidate target genes assigned from significant binding peaks. Novel gene functions and network modules were identified, including regulation of chromatin organisation and crosstalk with notch signalling. Orthologues of predicted TF targets discriminated breast cancer molecular subtypes and NetNC analysis predicted new gene functions; for example, evidencing networks that reshape Waddingtons landscape during EMT-like phenotype switching. Predicted invasion roles for SNX29, ATG3, UNK and IRX4 were validated using a tractable cell model.\n\nConclusionsWe found extensive neutral TF binding across the nine datasets examined and showed that NetNC performs well in identifying functionally coherent targets. HOT regions had comparatively high functional coherence. Our results illuminate conserved molecular networks that regulate epithelial remodelling in development and disease, with potential implications for precision medicine.

systems biology↗