Evolutionary engineering of green fluorescent protein calcium biosensors

Neurobiology continues to be one of the great frontiers in biological sciences. The number of neurons in the brain, and the complex neuronal circuits they constitute, will keep scientists trying to decipher them challenged for years to come. In the last decade, the use of genetically encoded calcium indicators (GECIs) to monitor and visualize neuronal activity has greatly advanced. Calcium imaging using GECIs has become a principal modality to elucidate neuronal coding and signaling processes. GECIs provide clear advantages over synthetic calcium dyes by enabling long-term expression and chronic imaging in targeted neurons in vivo. Whilst most improvements of GECIs have been primarily focusing on faster kinetics, calcium sensitivity, brightness and signal strength; less attention has been on GECIs’ likely impact on cellular environments via calcium buffering. Studies have shown that long-term expression of GECIs at high intracellular concentrations can lead to pathological changes and reduced responsiveness in cells. The objective of this dissertation was to design a new family of GECIs suitable for long-term monitoring of neuronal calcium activity. In contrast to previous optimization strategies, here a new species of calcium binding protein, troponin C from Opsanus tau, was used as a basis for the development of a minimal calcium-binding domain. The minimal domain was fused to brighter fluorescent proteins to generate novel GECIs with improved properties. Consequently, the novel GECIs were optimized through iterative rounds of directed molecular evolution and screening, resulting in the Twitch-family of GECIs. In Chapter 2, we describe the structure-function relationships of a previously published FRET-based calcium indicator, the TN-XXL. The structure-function relationship in FRET- based GECIs is largely uncharacterized due to the artificial and multi-modular composition. By utilizing a combination of protein engineering, spectroscopic and biophysical analyses, we show that two of the four calcium binding sites dominate the FRET output. Furthermore, we found that local conformational changes of these sites match the kinetics of FRET change. We show that TN-XXL changes from a flexible elongated structure to a rigid globular shape upon binding calcium. The insights gained from this work formed the basis for the engineering of the FRET-based GECIs described in this work. In Chapter 3, a newly developed minimal domain FRET-based GECI, Twitch-1CD, was introduced into auto-antigen-specific and non–auto-antigen-specific CD4+ T cells. We demonstrated for the first time in vivo how a GECI is fully expressed in T cells, and thus allowing for detailed recording and visualization of calcium signaling during T cell antigen- recognition. In Chapter 4, we orchestrated the evolution of the Twitch-family of GECIs, with better signal- to-noise ratios (SNR), greater dynamic range (∆R/R) and calcium kinetics. These indicators underwent rational design and directed molecular evolution, followed by bacterial plate screening and a fluorescent imaging screening assay in hippocampal neurons. The novel GECIs were subsequently applied in a series of studies, emphasizing their improvements to previous FRET-based GECIs

Proceedings of Patient Reported Outcome Measure’s (PROMs) Conference Oxford 2017: Advances in Patient Reported Outcomes Research

A33-Effects of Out-of-Pocket (OOP) Payments and Financial Distress on Quality of Life (QoL) of People with Parkinson’s (PwP) and their Carer

Evolutionary engineering of green fluorescent protein calcium biosensors

Neurobiology continues to be one of the great frontiers in biological sciences. The number of neurons in the brain, and the complex neuronal circuits they constitute, will keep scientists trying to decipher them challenged for years to come. In the last decade, the use of genetically encoded calcium indicators (GECIs) to monitor and visualize neuronal activity has greatly advanced. Calcium imaging using GECIs has become a principal modality to elucidate neuronal coding and signaling processes. GECIs provide clear advantages over synthetic calcium dyes by enabling long-term expression and chronic imaging in targeted neurons in vivo. Whilst most improvements of GECIs have been primarily focusing on faster kinetics, calcium sensitivity, brightness and signal strength; less attention has been on GECIs’ likely impact on cellular environments via calcium buffering. Studies have shown that long-term expression of GECIs at high intracellular concentrations can lead to pathological changes and reduced responsiveness in cells. The objective of this dissertation was to design a new family of GECIs suitable for long-term monitoring of neuronal calcium activity. In contrast to previous optimization strategies, here a new species of calcium binding protein, troponin C from Opsanus tau, was used as a basis for the development of a minimal calcium-binding domain. The minimal domain was fused to brighter fluorescent proteins to generate novel GECIs with improved properties. Consequently, the novel GECIs were optimized through iterative rounds of directed molecular evolution and screening, resulting in the Twitch-family of GECIs. In Chapter 2, we describe the structure-function relationships of a previously published FRET-based calcium indicator, the TN-XXL. The structure-function relationship in FRET- based GECIs is largely uncharacterized due to the artificial and multi-modular composition. By utilizing a combination of protein engineering, spectroscopic and biophysical analyses, we show that two of the four calcium binding sites dominate the FRET output. Furthermore, we found that local conformational changes of these sites match the kinetics of FRET change. We show that TN-XXL changes from a flexible elongated structure to a rigid globular shape upon binding calcium. The insights gained from this work formed the basis for the engineering of the FRET-based GECIs described in this work. In Chapter 3, a newly developed minimal domain FRET-based GECI, Twitch-1CD, was introduced into auto-antigen-specific and non–auto-antigen-specific CD4+ T cells. We demonstrated for the first time in vivo how a GECI is fully expressed in T cells, and thus allowing for detailed recording and visualization of calcium signaling during T cell antigen- recognition. In Chapter 4, we orchestrated the evolution of the Twitch-family of GECIs, with better signal- to-noise ratios (SNR), greater dynamic range (∆R/R) and calcium kinetics. These indicators underwent rational design and directed molecular evolution, followed by bacterial plate screening and a fluorescent imaging screening assay in hippocampal neurons. The novel GECIs were subsequently applied in a series of studies, emphasizing their improvements to previous FRET-based GECIs

Toward a nomenclature consensus for diverse intelligent systems: Call for collaboration

Summary: Disagreements about language use are common both between and within fields. Where interests require multidisciplinary collaboration or the field of research has the potential to impact society at large, it becomes critical to minimize these disagreements where possible. The development of diverse intelligent systems, regardless of the substrate (e.g., silicon vs. biology), is a case where both conditions are met. Significant advancements have occurred in the development of technology progressing toward these diverse intelligence systems. Whether progress is silicon based, such as the use of large language models, or through synthetic biology methods, such as the development of organoids, a clear need for a community-based approach to seeking consensus on nomenclature is now vital. Here, we welcome collaboration from the wider scientific community, proposing a pathway forward to achieving this intention, highlighting key terms and fields of relevance, and suggesting potential consensus-making methods to be applied