Biology subjects

Zalatan, J. G.

Publications and source records attributed to Zalatan, J. G..

15 recordsLinked to original sources

bioRxiv2026

CRISPRi-assisted E. coli strains increase success rate of burdensome construct cloning

Genetic constructs meant for metabolic engineering in nonmodel microbes often use similar genetic parts to those familiar to E. coli work. The typical workflow is to clone these parts into plasmids in E. coli before they are transferred to the nonmodel host or its genome. In many cases, the metabolic burden of these constructs is stronger in the E. coli cloning phase of the workflow than in the eventual host, possibly resulting in mutation or other failure during cloning. Here, we apply generic knockdown of a range of popular expression systems, using CRISPR interference, by targeting guide RNAs to either promoters or RBSs that are commonly used in metabolic engineering. Generic targeting of a constitutive promoter series, combined with genome integration of CRISPR components, allows the use of only one or a few specific cloning strains to achieve strong knockdown of a wide range of constructs. Further, we present a recombinase-based workflow for easily adding guide RNAs with custom targets, so that users can knock down any desired promoter or ORF. Together, this group of strains comprises easy-to-use cloning strains meant for increasing success rates of difficult or burdensome cloning reactions, ultimately allowing more ambitious genetic constructs to reach their intended context.

synthetic biology↗

bioRxiv2026

Combinatorial and Inducible CRISPRa/i Enables Canalized hiPSC Forward Programming and Iterative Refinement via Single-Cell Genomics

Synthetic gene-regulation logic is established in immortalized cell lines but remains largely aspirational in human induced pluripotent stem cells (hiPSCs) and derivatives. This gap constrains both mechanistic discovery and translational engineering in physiologically relevant models. We developed CIRI (Combinatorial Inducible CRISPR in IPSCs), an isogenic, safe-harbor-engineered platform in which tetracycline-responsive single guide RNAs (sgR-NAs) carry modular RNA aptamers that recruit RNA-binding proteins and effector domains. This design enables multimodal regulation from a single catalytically inactive Cas9 (dCas9), exemplified by orthogonal CRISPR activation and interference (CRISPRa/i). After optimizing sgRNA-aptamer architectures, we achieved robust CRISPRa and CRISPRi in hiPSCs and hiPSC-derived cardiac organoids. CIRI rapidly channels hiPSC forward programming into skeletal myocytes by activating MYOD1 while repressing NANOG, POU5F1/OCT4, and SOX2. Combinatorial pooled dual-guide single-cell RNA sequencing screens identify ID3 as a road-block and KDM6B and SMARCD3 as synergistic enhancers of myogenic maturation. Together, CIRI establishes a programmable synthetic biology framework in human stem cell models. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/729073v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@18ce445org.highwire.dtl.DTLVardef@de8d94org.highwire.dtl.DTLVardef@1212763org.highwire.dtl.DTLVardef@1a0d83d_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2026

Conjugation-based genome engineering enables rapid prototyping and bioproduction in non-model bacteria

Non-model bacteria offer unique metabolic capabilities for sustainable bioproduction, yet their limited genetic accessibility hinders systematic strain development. Here we present conjugation-based serine recombinase-assisted genome engineering (cSAGE), a portable platform for sequential, site-specific genomic integration in transformation-resistant bacteria. Using Rhodobacter sphaeroides as a testbed, we show that genome integration fails by electroporation and is not rescued by disruption of three candidate restriction endonucleases. Conjugative delivery of the same integration vectors recovers genomic integrants at frequencies of approximately 10-4 per recipient cell, an improvement of at least five orders of magnitude over electroporation. We demonstrate site-specific genomic integration across eight bacterial hosts spanning four classes and two phyla, as well as three sequential payload integrations using a standardized, non-replicating plasmid toolkit. We then use cSAGE to install the same bioproduction pathway in two Rhodopseudomonas palustris strains: the reference strain CGA009 and the environmental isolate P4, for which genetic engineering has not previously been reported. Under anoxygenic photosynthetic growth conditions, engineered P4 produces p -vinylphenol from p -coumarate, whereas CGA009 engineered with the same construct, does not. By enabling standardized genome engineering and cross-host evaluation of bioproduction pathways, cSAGE provides a general framework for non-model strain prototyping and biotransformation discovery.

synthetic biology↗

bioRxiv2025

Pooled single-cell CRISPRa/i screens for functional genomics in bacteria at scale

Pooled CRISPR screens using single-cell RNA sequencing (scRNA-seq) have emerged as powerful tools to uncover gene function, map regulatory networks, and identify genetic interactions. However, the inherent sparsity of bacterial scRNA-seq data has posed a major challenge toward applying these approaches to bacteria. Here, we present mapSPLiT, a pooled bacterial CRISPR activation and interference (CRISPRa/i) screening platform that enables large-scale experiments that simultaneously link hundreds of perturbations to their corresponding single-cell transcriptomes. By targeting 52 known or putative transcription factors with 118 perturbations in a pooled experiment, we expanded the E. coli regulatory network map, determined the function of putative regulators, and identified emergent global phenotypes. By targeting combinations of transcription factors simultaneously, we uncovered genetic interactions and regulatory logic between them. Mapping regulatory networks for carbon utilization in P. putida revealed control points that could expand metabolic flexibility and improve biomanufacturing. Together, these results establish mapSPLiT as a generalizable platform for single-cell functional genomics in bacteria.

genomics↗

bioRxiv2025

Systematic Mapping of Bacterial CRISPRa Design Rules and Implications for Synergistic Gene Activation

CRISPR gene activation (CRISPRa) tools have shown great promise for bacterial strain engineering but often require customization for each intended application. Our goal is to create generalizable CRISPRa tools that can overcome previous limitations of gene activation in bacteria. In eukaryotic cells, multiple activators can be combined for synergistic gene activation. To identify potential effectors for synergistic activation in bacteria, we systematically characterized bacterial activator proteins with a set of engineered synthetic promoters. We found that optimal target sites for different activators could vary by up to 200 bases in the region upstream of the transcription start site (TSS). These optimal target sites qualitatively matched previous reports for each activator, but the precise targeting rules varied between different promoters. By characterizing targeting rules in the same promoter context, we were able to test activator combinations with each effector positioned at its optimal target site. We did not find any activator combinations that produced synergistic activation, and we found that many combinations were antagonistic. This systematic investigation highlights fundamental mechanistic differences between bacterial and eukaryotic transcriptional activation systems, and suggests that alternative strategies will be necessary for strong bacterial gene activation at arbitrary endogenous targets.

synthetic biology↗

bioRxiv2025

De novo design of inducibly assembling multi-component filaments

The design of multi-component nanomaterials is an outstanding challenge. Here, we describe the computational design of protein filaments with two or three distinct structural components that assemble into micron-scale, well-ordered fibers when mixed. CryoEM structure determination of four fiber designs was close to the computational design models. Filament assembly can be initiated by mixing the components, and modulated by addition and/or phosphorylation of designed regulatory subunits. This work demonstrates that regulatable multi-component protein filament systems can now be designed, opening the door to a wide range of engineered materials.

bioengineering↗

bioRxiv2024

Computational stabilization of a non-heme iron enzyme enables efficient evolution of new function

Directed evolution has emerged as a powerful tool for engineering new biocatalysts. However, introducing new catalytic residues can be destabilizing, and it is generally beneficial to start with a stable enzyme parent. Here we show that the deep learning-based tool ProteinMPNN can be used to redesign Fe(II)/KG superfamily enzymes for greater stability, solubility, and expression while retaining both native activity and industrially-relevant non-native functions. For the Fe(II)/KG enzyme tP4H, we performed site-saturation mutagenesis with both the wild-type and stabilized design variant and screened for activity increases in a non-native C-H hydroxylation reaction. We observed substantially larger increases in non-native activity for variants obtained from the stabilized scaffold compared to those from the wild-type enzyme. ProteinMPNN is user-friendly and widely-accessible, and straightforward structural criteria were sufficient to obtain stabilized, catalytically-functional variants of the Fe(II)/KG enzymes tP4H and GriE. Our work suggests that stabilization by computational sequence redesign could be routinely implemented as a first step in directed evolution campaigns for novel biocatalysts.

biochemistry↗

bioRxiv2023

Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling

Engineering bacterial metabolism to efficiently produce chemicals and materials from multi-step pathways requires optimizing multi-gene expression programs to achieve enzyme balance. CRISPR-Cas transcriptional control systems are emerging as important metabolic engineering tools for programming multi-gene expression regulation. However, poor predictability of guide RNA folding can disrupt enzyme balance through unreliable expression control. We devised a set of computational parameters that can describe guide RNA folding, and we expect them to be broadly applicable across CRISPR-Cas9 systems. Here, we correlate efficacy of modified guide RNAs (scRNAs) for CRISPR activation (CRISPRa) in E. coli with a kinetic parameter describing folding rate into the active structure. This parameter also enables forward design of new scRNAs, with no observed failures in our screen. We use CRISPRa target sequences from this set to design a system of three synthetic promoters that can orthogonally activate and tune expression of chosen outputs over a >35-fold dynamic range. Independent activation tuning allows experimental exploration of a three-dimensional expression design space via a 64-member combinatorial triple-scRNA library. We apply these CRISPRa programs to two biosynthetic pathways, demonstrating production of valuable pteridine and human milk oligosaccharide products in E. coli. Profiling these design spaces indicated expression combinations producing up to 2.3-fold higher titer than that produced by maximal expression. Mapping production can also identify bottlenecks as targets for pathway redesign, improving titer of the oligosaccharide lacto-N-tetraose by 6-fold. Aided by computational scRNA efficacy prediction, the combinatorial CRISPRa strategy enables effective optimization of multi-step metabolic pathways. More broadly, the guide RNA design rules uncovered here may enable the routine design of effective multi-guide programs for a wide range of model- and data-driven applications of CRISPR gene regulation in bacterial hosts.

synthetic biology↗

bioRxiv2023

CRISPR-Cas tools for simultaneous transcription & translation control in bacteria

Robust control over gene translation at arbitrary mRNA targets is an outstanding challenge in microbial synthetic biology. The development of tools that can regulate translation will greatly expand our ability to precisely control genes across the genome. In E. coli, most genes are contained in multi-gene operons, which are subject to polar effects where targeting one gene for repression leads to silencing of both genes. These effects pose a challenge for independently regulating individual genes in multi-gene operons. Here, we use CRISPR-dCas13 to address this challenge. We find that dCas13-mediated repression exhibits up to 6-fold lower polar effects compared to dCas9. We then show that we can selectively activate single genes in a synthetic multi-gene operon by coupling dCas9 transcriptional activation of an operon with dCas13 translational repression of individual genes within the operon. We also show that dCas13 and dCas9 can be multiplexed for improved biosynthesis of a medically-relevant human milk oligosaccharide. Taken together, our findings suggest that combining transcriptional and translational control can access effects that are difficult to achieve with either mode independently. These combined tools for gene regulation will expand our abilities to precisely engineer bacteria for biotechnology and perform systematic genetic screens. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/561958v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1263909org.highwire.dtl.DTLVardef@6aa156org.highwire.dtl.DTLVardef@863e59org.highwire.dtl.DTLVardef@167496e_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2022

The Axin scaffold protects the kinase GSK3β from cross-pathway inhibition

Multiple signaling pathways regulate the kinase GSK3{beta} by inhibitory phosphorylation at Ser9, which then occupies the GSK3{beta} priming pocket and blocks substrate binding. Since this mechanism should affect GSK3{beta} activity towards all primed substrates, it is unclear why Ser9 phosphorylation does not affect other GSK3{beta}-dependent pathways, such as Wnt signaling. We used biochemical reconstitution and cell culture assays to evaluate how Wnt-associated GSK3{beta} is insulated from cross-activation by other signals. We found that the Wnt-specific scaffold protein Axin allosterically protects GSK3{beta} from phosphorylation at Ser9 by upstream kinases, which prevents accumulation of pS9-GSK3{beta} in the Axin-GSK3{beta} complex. Scaffold proteins that protect bound proteins from alternative pathway reactions could provide a general mechanism to insulate signaling pathways from improper crosstalk.

biochemistry↗

bioRxiv2022

Expanding the scope of bacterial CRISPR activation with PAM-flexible dCas9 variants

CRISPR-Cas transcriptional tools have been widely applied for programmable regulation of complex biological networks. In comparison to eukaryotic systems, bacterial CRISPR activation (CRISPRa) has stringent target site requirements for effective gene activation. While genes may not always have an NGG PAM at the appropriate position, PAM-flexible dCas9 variants can expand the range of targetable sites. Here we systematically evaluate a panel of PAM-flexible dCas9 variants for their ability to activate bacterial genes. We observe that dxCas9-NG provides a high dynamic range of gene activation for sites with NGN PAMs while dSpRY permits modest activity across almost any PAM. Similar trends were observed for heterologous and endogenous promoters. For all variants tested, improved PAM-flexibility comes with the tradeoff that CRISPRi-mediated gene repression becomes less effective. Weaker CRISPRi gene repression can be partially rescued by expressing multiple sgRNAs to target many sites in the gene of interest. Our work provides a framework to choose the most effective dCas9 variant for a given set of gene targets, which will further expand the utility of CRISPRa/i gene regulation in bacterial systems.

synthetic biology↗

bioRxiv2021

CRISPR-Cas-mediated tethering recruits the yeast HMR mating-type locus to the nuclear periphery but fails to silence gene expression

To investigate the relationship between genome structure and function, we have developed a programmable CRISPR-Cas system for nuclear peripheral recruitment in yeast. We benchmarked this system at the HMR and GAL2 loci, both well-characterized model systems for localization to the nuclear periphery. Using microscopy and gene silencing assays, we demonstrate that CRISPR-Cas-mediated tethering can recruit the HMR locus but does not silence reporter gene expression. A previously reported Gal4-mediated tethering system does silence gene expression, and we demonstrate that the silencing phenotype has an unexpected dependence on the structure of the protein tether. The CRISPR-Cas system was unable to recruit GAL2 to the nuclear periphery. Our results reveal potential challenges for synthetic genome structure perturbations and suggest that distinct functional effects can arise from subtle structural differences in how genes are recruited to the periphery.

synthetic biology↗

bioRxiv2020

The relationship between effective molarity and affinity governs rate enhancements in tethered kinase-substrate reactions

Scaffold proteins are thought to accelerate protein phosphorylation reactions by tethering kinases and substrates together, but there is little quantitative data on their functional effects. To assess the contribution of tethering to kinase reactivity, we compared intramolecular and intermolecular kinase reactions in a minimal model system. We find that tethering can enhance reaction rates in a flexible tethered kinase system, and the magnitude of the effect is sensitive to the structure of the tether. The largest effective molarity we obtained was [~]0.08 {micro}M, which is much lower than the effects observed in small molecule model systems and tethered protein-ligand interactions. We further demonstrate that the tethered, intramolecular reaction only makes a significant contribution to observed rates when the scaffolded complex assembles at concentrations below the effective molarity. These findings provide a quantitative framework that can be applied to understand endogenous protein scaffolds and to engineer synthetic networks.

biochemistry↗

bioRxiv2019

Effective CRISPRa-Mediated Control of Gene Expression in Bacteria Must Overcome Strict Target Site Requirements

In bacterial systems, CRISPR-Cas transcriptional activation (CRISPRa) has the potential to dramatically expand our ability to regulate gene expression, but we currently lack a complete understanding of the rules for designing effective guide RNA target sites. We have identified multiple features of bacterial promoters that impose stringent requirements on bacterial CRISPRa target sites. Most importantly, we found that shifting a gRNA target site by 2-4 bases along the DNA target can cause a nearly complete loss in activity. The loss in activity can be rescued by shifting the target site 10-11 bases, corresponding to one full helical turn. Practically, our results suggest that it will be challenging to find a gRNA target site with an appropriate PAM sequence at precisely the right position at arbitrary genes of interest. To overcome this limitation, we demonstrate that a dCas9 variant with expanded PAM specificity allows activation of promoters that cannot be activated by S. pyogenes dCas9. These results provide a roadmap for future engineering efforts to further expand and generalize the scope of bacterial CRISPRa.

synthetic biology↗

bioRxiv2019

The Wnt pathway scaffold protein Axin promotes signaling specificity by suppressing competing kinase reactions

GSK3{beta} is a multifunctional kinase that phosphorylates {beta}-catenin in the Wnt signaling network and also acts on other protein targets in response to distinct cellular signals. To test the long-standing hypothesis that the scaffold protein Axin specifically accelerates {beta}-catenin phosphorylation, we measured GSK3{beta} reaction rates with multiple substrates in a minimal, biochemically-reconstituted system. We observed an unexpectedly small, ~2-fold Axin-mediated rate increase for the {beta}-catenin reaction. The much larger effects reported previously may have arisen because Axin can rescue GSK3{beta} from an inactive state that occurs only under highly specific conditions. Surprisingly, Axin significantly slows the reaction of GSK3{beta} with CREB, a non-Wnt pathway substrate. When both {beta}-catenin and CREB are present, Axin accelerates the {beta}-catenin reaction by preventing competition with CREB. Thus, while Axin alone does not markedly accelerate the {beta}-catenin reaction, in physiological settings where multiple GSK3{beta} substrates are present, Axin can promote signaling specificity by suppressing interactions with competing, non-Wnt pathway targets.

biochemistry↗