Mark Isalan (0000-0002-4652-0365)

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Mark Isalan carried out a Ph.D. in engineering zinc fingers to bind new DNA sequences at the MRC LMB, in the University of Cambridge UK,1996-2000. This work was supervised by Prof. Sir Aaron Klug, OM, FRS, and continued postdoctorally from 2000-2002 at Gendaq Ltd, UK (now owned by Sangamo Biosciences, Richmond CA). The work ultimately contributed to the CompoZr zinc finger nucleases now available commercially from Sigma Aldrich. From 2002-2006 Dr. Isalan was awarded a Wellcome Trust International Research Fellowship to carry out research on engineering artificial gene networks in Prof. Luis Serrano's group at the EMBL Heidelberg, Germany. From 2006-2013 he was a group leader at the EMBL-CRG Systems Biology Unit in Barcelona, specialising in synthetic gene network engineering. He moved to Imperial College London in 2013, where he is Professor of Synthetic Biology. He continues to work in protein and gene network engineering, aiming to design biological systems that behave predictably and robustly.

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Imperial College London: London, GB

2017-09-01 to present | Professor of Synthetic Biology, Deputy Head of Dept (2022-) (Life Sciences)

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Mark Isalan

https://orcid.org/0000-0002-4652-0365

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Employment (5)

Imperial College London: London, GB

Imperial College London: London, GB

EMBL-CRG Barcelona: Barcelona, ES

European Molecular Biology Laboratory: Heidelberg, DE

Gendaq Ltd.: London, GB

Education and qualifications (2)

University of Cambridge: Cambridge, GB

University of Cambridge: Cambridge, GB

Professional activities (2)

Imperial College London: London, GB

MRC Laboratory of Molecular Biology: Cambridge, Cambridgeshire, GB

Funding (15)

Self-healing living materials based on Turing pattern engineering in microbial cells

Combining in vitro peptide display and in vivo directed evolution to search for entirely de novo folds of DNA-binding domains

21EBTA: EB-AI Consortium for Bioengineered Cells & Systems (AI-4-EB)

Engineering systems with emergent patterns in synthetic biofilms

A 4 year PhD in theoretical systems biology and bioinformatics

EVO-ENGINE: A directed evolution engine for engineering proteins and logic gates

Directed Evolution of Nitrogenase

A Synthetic Approach Towards Understanding The Formation of Robust Turing Patterns in Developmental Biology

Genome engineering and synthetic biology approaches for improving industrial CHO cell production of biologics

Zinc finger gene therapy in the brain for treating Huntington's disease

Gene network engineering: quantifying emergent gene expression in cancer and antibiotic resistance.

Engineering zinc fingers to target cancer hub genes

Engineering gene networks with artificial transcription factors.

Engineering gene networks with artificial transcription factors.

Engineering gene networks with artificial transcription factors.

Works (50 of 81)

Engineering Tunable, Low Latency Spatial Computation with Dual Input Quorum Sensing Promoters

Mammalian cell growth characterisation by a non-invasive plate reader assay

A primer to directed evolution: current methodologies and future directions

A three-node Turing gene circuit forms periodic spatial patterns in bacteria

Mammalian cell characterisation by non-invasive plate reader assay

Emergent expression of fitness-conferring genes by phenotypic selection

Synthetic spatial patterning in bacteria: advances based on novel diffusible signals

Engineered sensor bacteria evolve master-level gameplay through accelerated adaptation

A genetic toolkit and gene switches to limit Mycoplasma growth for biosafety applications

A genetic toolkit and gene switches to limit Mycoplasma growth for a synthetic vaccine chassis

Accelerated evolution of a minimal 63–amino acid dual transcription factor

A Comprehensive Network Atlas Reveals That Turing Patterns Are Common but Not Robust.

Engineering the smallest transcription factor: accelerated evolution of a 63-amino acid peptide dual activator-repressor

Ohm’s Law for emergent gene expression under fitness pressure

Synthetic circuits reveal how mechanisms of gene regulatory networks constrain evolution.

Commentary: Synthetic Addiction Extends the Productive Life Time of Engineered Escherichia coli Populations.

Neuro-Cardio Mechanisms in Huntington's Disease and Other Neurodegenerative Disorders.

Drug-Inducible Control of Lethality Genes: A Low Background Destabilizing Domain Architecture Applied to the Gal4-UAS System in Drosophila.

Trp-ing upon new repressors.

Combining a Toggle Switch and a Repressilator within the AC-DC Circuit Generates Distinct Dynamical Behaviors.

Functional Insulator Scanning of CpG Islands to Identify Regulatory Regions of Promoters Using CRISPR.

Engineering of biomolecules by bacteriophage directed evolution.

The mechanisms of gene regulatory networks constrain evolution: A lesson from synthetic circuits

Intracellular directed evolution of proteins from combinatorial libraries based on conditional phage replication.

Early transcriptional alteration of histone deacetylases in a murine model of doxorubicin-induced cardiomyopathy.

A three-step framework for programming pattern formation.

Transcriptional Signature of an Altered Purine Metabolism in the Skeletal Muscle of a Huntington's Disease Mouse Model.

Engineering orthogonal dual transcription factors for multi-input synthetic promoters.

Identifying ultrasensitive HGF dose-response functions in a 3D mammalian system for synthetic morphogenesis.

Changes in cardiac nucleotide metabolism in Huntington's disease.

Deimmunization for gene therapy: host matching of synthetic zinc finger constructs enables long-term mutant Huntingtin repression in mice.

An impaired metabolism of nucleotides underpins a novel mechanism of cardiac remodeling leading to Huntington's disease related cardiomyopathy.

From noise to synthetic nucleoli: can synthetic biology achieve new insights?

E-MTAB-3233 - The propagation of perturbations in shuffled bacterial gene networks

The propagation of perturbations in rewired bacterial gene networks.

A shared mechanism of muscle wasting in cancer and Huntington's disease.

Sender-receiver systems and applying information theory for quantitative synthetic biology.

A split intein T7 RNA polymerase for transcriptional AND-logic.

A unified design space of synthetic stripe-forming networks.

β-catenin fluctuates in mouse ESCs and is essential for Nanog-mediated reprogramming of somatic cells to pluripotency.

Cooperativity to increase Turing pattern space for synthetic biology.

Synthetic biology and therapeutic strategies for the degenerating brain: Synthetic biology approaches can transform classical cell and gene therapies, to provide new cures for neurodegenerative diseases.