Mary Dunlop
@DunlopLab
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Dunlop Lab at Boston University
Boston, MA
Joined November 2018
RT @ARROWS_BU: Congratulations to Prof. Elise Morgan, who will be the Interim Dean of the College of Engineering! She will be the first w….
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RT @BostonBacteria: This is the lineup for the Synthetic Microbiology Panel at the 2023 BBM! We've assembled an incredible group of experts….
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RT @JWVeening: Is phenotypic variation functional? Stoked about our latest preprint spearheaded by the amazing Anne-Stephanie @DMF_UNIL @un….
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RT @LedesmaAmaro: I am super excited to share our latest work published in @nchembio . This is a story about synthetic microbial communitie….
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RT @BostonBacteria: Registration for BBM2023 is now open! .🧪Abstracts submissions are due April 30th .🧫Online registration ends on May 31st….
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RT @ProfTomEllis: In our work on engineered living materials, a question we ask ourselves is ‘How can we use synthetic biology to make mate….
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RT @Divya_ch_: 1/ Very excited to share my first PhD paper out in cell reports!! We show that oxidative stress response heterogeneity in E.….
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Our latest paper is out! Light-inducible expression of antibiotic resistance genes. Led by @biotaxis, with help from @NathanTague2. Constructs are on @Addgene if you want to try them out.
And to wrap up today's paperfest, @biotaxis and co in the @DunlopLab at @BostonU_BME present an optogenetic toolkit for light induced antibiotic resistance .
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RT @ACSSynBio: ❗ Nominations are open until Feb. 19 for the 2023 ACS Synthetic Biology Young Innovator Award! The award honors a young scie….
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RT @lingchongyou: Excited to share our new study on mapping single-cell and population-level responses of bacterial responses to antibiotic….
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RT @ericsouth_: Interested in ‘data-centric’ bioengineering? The EBRC-SPA is hosting an industry panel discussion with professionals who op….
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RT @gregory_batt: Sebas' PhD paper on automated turbidostats and optogenetics, secretion sweetspots and secretory burnout state, and on cyb….
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Finally, our manuscript is available on bioRxiv:. And our code is on GitLab:. 9/9.
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We plan to use this platform to investigate the impact of gene expression dynamics on antibiotic resistance and to extend it for other synthetic biology applications. More generally, we are excited to see how AI can improve our ability to interface between cells and computers. 8/.
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Our new feedback platform enables us to set precise expression levels for the resistance gene in 6,000+ cells and to quantify how these levels impact cell growth and survival dynamics, without having to rely on natural fluctuations in gene expression. 7/
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My lab has been interested in how gene expression in single cells impacts antibiotic resistance and tolerance. But it is often hard to detect and capture relevant dynamics amidst a sea of single-cell behaviors and expression noise. 6/.
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But the reason we are particularly excited about this technology is that it can be used to precisely control expression dynamics of other genes. As an example, we use it here to control a gene responsible for tetracycline antibiotic resistance. 5/.
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We are of course not limited to sinewaves. We illustrate this by reproducing an iconic scene from 2001: A Space Odyssey. I believe we now hold the title for most ridiculously convoluted way to display a movie. @seth_shipman 4/
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We use deep model predictive control to decide whether to apply red or green light to each cell. An encoder-decoder neural network predicts the cell's response and we use this to select the optimal light signals. This strategy is re-evaluated every 5 mins in a feedback loop. 3/
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