Daniel Cetnar
@danielcetnar
Biologics Downstream Development Scientist @ BMS | Ph.D., Chemical Engineering @hsalis Synthetic Biology Lab
ID: 2896878814
29-11-2014 03:37:45
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44 Followers
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Hat tip to Alex Reis Sean Halper Grace Vezeau Daniel Cetnar Ayaan Hossain Phillip Clauer for their great work!
ATTENTION #synbio: Design 1000s of non-repetitive genetic parts using the Non-Repetitive Parts Calculator. Ayaan Hossain Ayaan Hossain leads you through the step-by-step process for promoters, insulated RBSs, terminators, and toehold RNA switches: github.com/ayaanhossain/n…
NEW PAPER: We uncover & quantify how the 5' UTR, intergenic, and 3' UTR regions control mRNA decay + develop predictive biophysical models. Big 👏🙇 to Daniel Cetnar who characterized 82+ operons using RT-qPCR to show clear cause-effect outcomes. pubs.acs.org/doi/10.1021/ac…
See our recent work at the Howard Salis #synbio lab. DNA sequence in --> transcription profile out. Validated on 17396 sig70 promoters. Use it to identify cryptic promoters in genetic systems or to forward engineering synthetic promoters. Work done by myself and Ayaan Hossain!
Our manuscript on Promoter Calculator was published today in Nature Communications! Many thanks to Ayaan Hossain and Howard Salis for helping to complete the project. Debug genetic systems and forward engineer new promoter sequences. Read more here: nature.com/articles/s4146…
NEW PAPER led by Grace Vezeau! We rationally engineered synthetic riboswitches to carry out sense & respond for human biomarker proteins [mCRP and IL32-gamma] that indicate disease or infection. 16-fold activation without trial-and-error! nature.com/articles/s4146…
Designing synthetic mRNAs 🧬 for optimal stability and expression? Checkout our work led by Daniel Cetnar on biophysics infused machine learning approaches for delineation of mRNA degradation kinetics ⚡ out now in Nature Communications nature.com/articles/s4146…
This is a great paper from the Howard Salis lab. - Measure the decay rates of 50,000 mRNAs in bacteria. - Use biophysical models + ML to build models of mRNA stability. - Profit. And a good reminder of what's possible when one turns a biological problem into a sequencing problem!