APEX: Automated Protein EXpression in Escherichia coli
Heterologous protein expression is an indispensable strategy for generating recombinant proteins. Escherichia coli (E. coli) is the most widely used microbial host for recombinant protein production due to its rapid growth, well-characterized genetics, and ability to produce recombinant proteins in high yields using modern recombinant DNA technology. However, while there is a plethora of robust protein expression protocols for E. coli, these methods are often unsuitable for high-throughput screening due to their significant resource and time consumption; these protocols are also susceptible to operator error and inconsistency. To address these challenges, we developed Automated Protein EXpression (APEX), a robust and automated pipeline for recombinant protein production in E. coli. APEX leverages the accessible, open-source Opentrons OT-2 platform to automate microbial handling and protein expression with high precision and reproducibility. APEX can be configured to perform heat shock transformation, selective plating, colony sampling, microculturing, and protein expression induction using a low-cost, minimal OT-2 hardware setup. We further demonstrate the efficacy of our automated transformation workflows using a variety of plasmids (2.7β17.7 kb) and exemplify the automated heterologous expression of a diverse array of proteins (27β222 kDa). Designed with customization, modularity, and user-friendliness in mind, APEX can be easily adapted to the operatorβs needs without requiring any coding expertise. APEX is available at https://github.com/stracquadaniolab/apex-nf under the AGPL3 license.
Excited to share our new publication in ACS Synthetic Biology!
We introduce #APEX - an open-source, automated pipeline for recombinant protein production in E. coli, developed by our super talented Martyna Kasprzyk!
Check it out: pubs.acs.org/doi/10.1021/...
03.09.2025 13:19 β π 0 π 1 π¬ 0 π 0
Iβm incredibly proud of the progress weβve made. What began as a vision to better understand how to engineer therapeutic enzymes is now taking shape through promising early data, a world-class scientific team, and a clear development roadmap.
16.06.2025 20:20 β π 0 π 0 π¬ 0 π 0
Announcing the launch of our #Seed #Funding #Round as we take the next step in our mission to transform the future of #enzyme #replacement #therapies for #lysosomal #storage #diseases.
With a passionate team, early proof-of-concept data, and a clear path to the clinic, weβre ready to scale!
16.06.2025 20:10 β π 0 π 1 π¬ 0 π 1
Letβs see if I can make it next year!
20.05.2025 17:43 β π 2 π 0 π¬ 0 π 0
I wonβt attend but please get in touch with Susan and Alice if you want to know more about our #advanced #therapeutics for #lysosomal #storage #disorders.
25.04.2025 18:23 β π 2 π 0 π¬ 0 π 0
Had a great time the past 2 days hosting my good friend and colleague Dr Boyd McKew from @universityofessex.bsky.social obviously lots of good chat about sequencing, synthetic biology, diving and beers :)
25.04.2025 18:19 β π 0 π 0 π¬ 0 π 0
Pushing the boundaries of therapeutics here at @edinburgh-uni.bsky.social If you want to know more about our work in the hub on #Fabry and #MPSIVA get in touch. #ML #engbio #rare #diseases
10.04.2025 19:02 β π 0 π 0 π¬ 0 π 0
Latest addition to our #enzyme #replacement #therapy platform: the Getinge Applikon #miniBio 500mL bioreactor. Excited to start new pilot projects on up-scaling enzyme production.
Thanks Scottish Enterprise to continuously support ZYTHERA's journey in/outside the lab.
#rare #disease #bioproduction
26.03.2025 12:44 β π 0 π 0 π¬ 0 π 0
Itβs #rare #disease #day! There are ~10,000 rare diseases, most lacking a cure or treatment. The path that patients and carers go through is something no one should ever experience.
Letβs harness the #new #technologies from our labs to deliver personalised medicine, because nobody is rare!
28.02.2025 17:46 β π 0 π 0 π¬ 0 π 0
Load <return>
Press play on tape
It never gets old :)
25.02.2025 16:36 β π 1 π 0 π¬ 0 π 0
Some of our recent work:
- Temporal Dirichlet Variational Autoencoder: www.nature.com/articles/s41...
- Protein engineering by variational energy approximation
www.nature.com/articles/s41...
24.02.2025 20:24 β π 1 π 0 π¬ 0 π 0
Welcome to the Stracquadanio Lab
A data-driven synthetic biology lab using machine learning and synthetic biology to understand cancer biology.
Hi there! Officially starting my new academic account on @bsky.app.
My group works on generative #AI models and #hightroughput #protein #expression and #screening platforms to engineer potent therapies for #lysosomal #storage #diseases. Learn more at: www.stracquadaniolab.org
24.02.2025 20:20 β π 3 π 0 π¬ 1 π 0
Cancer epidemiologist, statistical geneticist, biostatistician. National Cancer Institute, Harvard. Views my own.
Combining Biocompatible Chemistry + Synthetic Biology to enhance microbes' abilities to make chemicals sustainably. Vibrant research team at the University of Edinburgh. All views our own.
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Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
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Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
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Statistician, Computational Biologist, R |> Bioconductor
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Textbook: Modern Statistics for Modern Biology https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
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Chief Data Scientist U of CA Healthγ»Director, Bakar Computational Health Sci Instituteγ»Distinguished Prof af UCSFγ»Entrepreneurγ»He/himγ»Opinions β¨ my own
Pioneering Enzyme Replacement Therapies for Lysosomal Storage Diseases. https://www.zythera.com
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