ElowitzLab @ElowitzLab
Lab of Michael Elowitz at Caltech. Synthetic biology and systems biology elowitz.caltech.edu Los Angeles Joined December 2013-
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In 2000, a physicist named Michael Elowitz published one of the first synthetic gene circuits, called the "repressilator." By stitching three genes together, he endowed living cells with an artificial rhythm, coaxing them to flash green. Learn how he built it, and even play…
I’ve always been interested in the stories behind BioNumbers. Textbooks say DNA polymerase, for example, replicates 220 nucleotides per second. But how do we know this? How can one actually measure the speed of a single enzyme? A fast typist, for comparison, types ~80 words per…
Congratulations @ShiyuXia and @UCBerkeley!
Congratulations @ShiyuXia and @UCBerkeley!
Added some tiny improvements to the flowcytometry app I made during my time in @ElowitzLab. Now it supports exporting gated events as npy and mat. So you can gate data in your favorite graphic interface, then analyze them with python or Matlab! ym3141.github.io/EasyFlowQ/Raw%…
Beautiful paper from @sandynandagopal , Galit Lahav & colleagues. a seemingly “messy” circuit of dimerizing proteins (bHLH factors) can process a combinatorial input signals. Important step in more systematically understanding biological signal processing
Beautiful paper from @sandynandagopal , Galit Lahav & colleagues. a seemingly “messy” circuit of dimerizing proteins (bHLH factors) can process a combinatorial input signals. Important step in more systematically understanding biological signal processing
I just love the great writing, beautiful books (and now...the capsule!) that @NikoMcCarty and others at @AsimovPress are creating.
I just love the great writing, beautiful books (and now...the capsule!) that @NikoMcCarty and others at @AsimovPress are creating.
How could we identify key genes involved in any biological process and cell type? Please read on about Nuclear In-Situ Sequencing (NIS-Seq) nature.com/articles/s4158…
The lives of cells, recorded go.nature.com/4g2gRwG #Perspective by @AskaryLab, Wei Chen, @_Choi_Junhong, Lucia Y. Du, @ElowitzLab, @james_gagnon, @schierlab, @sophieseid, @JShendure, @TanjaStadler_CH & @tranmartink
Amazing opportunity to work with phenomenal scientist…
Amazing opportunity to work with phenomenal scientist…
AI-Science: New features! - Human-AI copilot app: Much more powerful (and fun) than the AI agents doing it all. - Fully annotated figures! - “Data Chaining”: All results (inc Figures) are click-traced to the specific code lines that created them! pip install data-to-paper

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