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Hochrein, L. M.

Publications and source records attributed to Hochrein, L. M..

2 recordsLinked to original sources

Conditional Guide RNAs: Programmable Conditional Regulation of CRISPR/Cas Function in Bacteria via Dynamic RNA Nanotechnology

A guide RNA (gRNA) directs the function of a CRISPR protein effector to a target gene of choice, providing a versatile programmable platform for engineering diverse modes of synthetic regulation (edit, silence, induce, bind). However, the fact that gRNAs are constitutively active places limitations on the ability to confine gRNA activity to a desired location and time. To achieve programmable control over the scope of gRNA activity, here we apply principles from dynamic RNA nanotechnology to engineer conditional guide RNAs (cgRNAs) whose activity is dependent on the presence or absence of an RNA trigger. These cgRNAs are programmable at two levels, with the trigger-binding sequence controlling the scope of the effector activity and the target-binding sequence determining the subject of the effector activity. We demonstrate molecular mechanisms for both constitutively active cgRNAs that are conditionally inactivated by an RNA trigger (ON[->]OFF logic) and constitutively inactive cgRNAs that are conditionally activated by an RNA trigger (OFF[->]ON logic). For each mechanism, automated sequence design is performed using the reaction pathway designer within NUPACK to design an orthogonal library of three cgRNAs that respond to different RNA triggers. In E. coli expressing cgRNAs, triggers, and silencing dCas9 as the protein effector, we observe programmable conditional gene silencing with a median dynamic range of {approx}6-fold for an ON[->]OFF \"terminator switch\" mechanism, {approx}15-fold for an ON[->]OFF \"splinted switch\" mechanism, and {approx}3.6-fold for an OFF[->]ON \"toehold switch\" mechanism; the median crosstalk within each cgRNA library is <2%, <2%, and {approx}20% for the three mechanisms. By providing programmable control over both the scope and target of protein effector function, cgRNA regulators offer a promising platform for synthetic biology.\n\nO_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

synthetic biology↗

Signal Transduction in Human Cell Lysate via Dynamic RNA Nanotechnology

Dynamic RNA nanotechnology with small conditional RNAs (scRNAs) offers a promising conceptual approach to introducing synthetic regulatory links into endogenous biological circuits. Here, we use human cell lysate containing functional Dicer and RNases as a testbed for engineering scRNAs for conditional RNA interference (RNAi). scRNAs perform signal transduction via conditional shape change: detection of a subsequence of mRNA input X triggers formation of a Dicer substrate that is processed to yield siRNA output anti-Y targeting independent mRNA Y for destruction. Automated sequence design is performed using the reaction pathway designer within NUPACK to encode this conditional hybridization cascade into the scRNA sequence subject to the sequence constraints imposed by X and Y. Because it is difficult for secondary structure models to predict which subsequences of mRNA input X will be accessible for detection, here we develop the RNAhyb method to experimentally determine accessible windows within the mRNA that are provided to the designer as sequence constraints. We demonstrate the programmability of scRNA regulators by engineering scRNAs for transducing in both directions between two full-length mRNAs X and Y, corresponding to either the forward molecular logic \"if X then not Y\" (X [boxvl] Y) or the reverse molecular logic \"if Y then not X\" (Y [boxvl] X). In human cell lysate, we observe a strong OFF/ON conditional response with low crosstalk, corresponding to a {approx}20-fold increase in production of the siRNA output in response to the cognate vs non-cognate full-length mRNA input. Because diverse biological pathways interact with RNA, scRNAs that transduce between detection of endogenous RNA inputs and production of biologically active RNA outputs hold great promise as a synthetic regulatory paradigm.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=63 SRC=\"FIGDIR/small/439273_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (10K):\norg.highwire.dtl.DTLVardef@fb2a0org.highwire.dtl.DTLVardef@98517dorg.highwire.dtl.DTLVardef@e0fe8org.highwire.dtl.DTLVardef@1364f8d_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗