@article {68794, title = {Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak-Keller-Segel chemotaxis model}, journal = {Proceedings of the National Academy of Sciences}, year = {2024}, month = {2024 Jan 09}, abstract = {

Chemotactic bacteria not only navigate chemical gradients, but also shape their environments by consuming and secreting attractants. Investigating how these processes influence the dynamics of bacterial populations has been challenging because of a lack of experimental methods for measuring spatial profiles of chemoattractants in real time. Here, we use a fluorescent sensor for aspartate to directly measure bacterially generated chemoattractant gradients during collective migration. Our measurements show that the standard Patlak-Keller-Segel model for collective chemotactic bacterial migration breaks down at high cell densities. To address this, we propose modifications to the model that consider the impact of cell density on bacterial chemotaxis and attractant consumption. With these changes, the model explains our experimental data across all cell densities, offering new insight into chemotactic dynamics. Our findings highlight the significance of considering cell density effects on bacterial behavior, and the potential for fluorescent metabolite sensors to shed light on the complex emergent dynamics of bacterial communities.

}, doi = {10.1073/pnas.230925112}, url = {https://doi.org/10.1073/pnas.230925112}, author = {Trung V. Phan and Henry H. Mattingly and Lam Vo and Jonathan S. Marvin and Loren L. Looger and Thierry Emonet} } @article {68104, title = {Volume-transmitted GABA waves pace epileptiform rhythms in the hippocampal network}, journal = {Current Biology}, volume = {33}, year = {2023}, month = {2023 Apr 10}, pages = {1249}, abstract = {

Mechanisms that entrain and drive rhythmic epileptiform discharges remain debated. Traditionally, this quest has been focusing on interneuronal networks driven by GABAergic connections that activate synaptic or extrasynaptic receptors. However, synchronised interneuronal discharges could also trigger a transient elevation of extracellular GABA across the tissue volume, thus raising tonic GABAA\ receptor conductance (Gtonic) in multiple cells. Here, we use patch-clamp GABA {\textquoteleft}sniffer{\textquoteright} and optical GABA sensor to show that periodic epileptiform discharges are preceded by region-wide, rising waves of extracellular GABA. Neural network simulations that incorporate volume-transmitted GABA signals point to mechanistic principles underpinning this relationship. We validate this hypothesis using simultaneous patch-clamp recordings from multiple nerve cells, selective optogenetic stimulation of fast-spiking interneurons. Critically, we manipulate GABA uptake to suppress extracellular GABA waves but not synaptic GABAergic transmission, which shows a clear effect on rhythm generation. Our findings thus unveil a key role of extrasynaptic, volume-transmitted GABA actions in pacing regenerative rhythmic activity in brain networks.

}, doi = {10.1016/j.cub.2023.02.051}, url = {https://doi.org/10.1016/j.cub.2023.02.051}, author = {Vincent Magloire and Leonid P. Savtchenko and Sergyi Sylantyev and Thomas P. Jensen and Nicholas Cole and Jonathan S. Marvin and Loren L. Looger and Dimitri M. Kullmann and Matthew C. Walker and Ivan Pavlov and Dmitri A. Rusakov} } @article {67964, title = {Many dissimilar protein domains switch between α-helix and β-sheet folds}, journal = {Nature Communications}, volume = {13}, year = {2022}, month = {2022 Jul01}, abstract = {

Hundreds of millions of structured proteins sustain life through chemical interactions and catalytic reactions1. Though dynamic, these proteins are assumed to be built upon fixed scaffolds of secondary structure, α-helices and β-sheets. Experimentally determined structures of over \>58,000 non-redundant proteins support this assumption, though it has recently been challenged by \~{}100 fold-switching proteins2. These {\textquotedblleft}metamorphic3{\textquotedblright} proteins, though ostensibly rare, raise the question of how many uncharacterized proteins have shapeshifting{\textendash}rather than fixed{\textendash}secondary structures. To address this question, we developed a comparative sequence-based approach that predicts fold-switching proteins from differences in secondary structure propensity. We applied this approach to the universally conserved NusG transcription factor family of \~{}15,000 proteins, one of which has a 50-residue regulatory subunit experimentally shown to switch between α-helical and β-sheet folds4. Our approach predicted that 25\% of the sequences in this family undergo similar α-helix ⇌ β-sheet transitions, a frequency two orders of magnitude larger than previously observed. Our predictions evade state-of-the-art computational methods but were confirmed experimentally by circular dichroism and nuclear magnetic resonance spectroscopy for all 10 assiduously chosen dissimilar variants. These results suggest that fold switching is a pervasive mechanism of transcriptional regulation in all kingdoms of life and imply that numerous uncharacterized proteins may also switch folds.

}, doi = {10.1101/2021.06.10.447921}, url = {https://doi.org/10.1101/2021.06.10.447921}, author = {Lauren L. Porter and Allen K. Kim and Swechha Rimal and Loren L. Looger and Ananya Majumdar and Brett D. Mensh and Mary Starich} } @article {68278, title = {Selective Serotonin Reuptake Inhibitors Within Cells: Temporal Resolution in Cytoplasm, Endoplasmic Reticulum, and Membrane}, journal = {bioRxiv}, year = {2022}, month = {2022 Aug 12}, abstract = {

Selective serotonin reuptake inhibitors (SSRIs) are the most prescribed treatment for individuals experiencing major depressive disorder (MDD). The therapeutic mechanisms that take place before, during, or after SSRIs bind the serotonin transporter (SERT) are poorly understood, partially because no studies exist of the cellular and subcellular pharmacokinetic properties of SSRIs in living cells. We studied escitalopram and fluoxetine using new intensity- based drug-sensing fluorescent reporters ({\textquotedblleft}iDrugSnFRs{\textquotedblright}) targeted to the plasma membrane (PM), cytoplasm, or endoplasmic reticulum (ER) of cultured neurons and mammalian cell lines. We also employed chemical detection of drug within cells and phospholipid membranes. The drugs attain equilibrium in neuronal cytoplasm and ER, at approximately the same concentration as the externally applied solution, with time constants of a few s (escitalopram) or 200-300 s (fluoxetine). Simultaneously, the drugs accumulate within lipid membranes by >= 18-fold (escitalopram) or 180-fold (fluoxetine), and possibly by much larger factors. Both drugs leave cytoplasm, lumen, and membranes just as quickly during washout. We synthesized membrane-impermeant quaternary amine derivatives of the two SSRIs. The quaternary derivatives are substantially excluded from membrane, cytoplasm, and ER for \> 2.4 h. They inhibit SERT transport-associated currents 6- or 11-fold less potently than the SSRIs (escitalopram or fluoxetine derivative, respectively), providing useful probes for distinguishing compartmentalized SSRI effects. Although our measurements are orders of magnitude faster than the {\textquotedblleft}therapeutic lag{\textquotedblright} of SSRIs, these data suggest that SSRI-SERT interactions within organelles or membranes may play roles during either the therapeutic effects or the {\textquotedblleft}antidepressant discontinuation syndrome{\textquotedblright}.

}, doi = {10.1101/2022.08.09.502705}, url = {https://doi.org/10.1101/2022.08.09.502705}, author = {Aaron L. Nichols and Zack Blumenfeld and Laura Luebbert and Hailey J. Knox and Anand K. Muthusamy and Jonathan S. Marvin and Charlene H. Kim and Stephen N. Grant and David P. Walton and Bruce N. Cohen and Rebekkah Hammar and Loren L. Looger and Per Artursson and Dennis A. Dougherty and Henry A. Lester} } @article {67928, title = {Three Mutations Convert the Selectivity of a Protein Sensor From Nicotinic Agonists to S-Methadone For Use in Cells, Organelles, and Biofluids.}, journal = {Journal of the American Chemical Society}, volume = {144}, year = {2022}, month = {2022 May 18}, abstract = {

We report a reagentless, intensity-based S-methadone fluorescent sensor, iS-methadoneSnFR, consisting of a circularly permuted GFP inserted within the sequence of a mutated bacterial periplasmic binding protein (PBP). We used directed evolution to convert a previously reported nicotine-binding PBP to a selective S-methadone-binding sensor, via three mutations in the PBP{\textquoteright}s second shell and hinge regions. iS-methadoneSnFR displays sensitivity across the pharmacologically relevant range and selectivity against endogenous analytes and other opioids. Robust iS-methadoneSnFR responses in human sweat and saliva and mouse serum enable diagnostic uses. Genetic encoding and imaging in mammalian demonstrated the acid trapping of S-methadone in the Golgi apparatus where opioid receptors can signal. This work shows a straightforward strategy in adapting existing PBPs to serve real-time applications ranging from subcellular to personal pharmacokinetics.

}, doi = {10.1101/2022.02.24.481226}, author = {Anand K. Muthusamy and Charlene H. Kim and Scott C. Virgil and Hailey J. Knox and Jonathan S. Marvin and Aaron L. Nichols and Bruce N. Cohen and Dennis A. Dougherty and Loren L. Looger and Henry A. Lester} } @article {67702, title = {Pervasive fold switching in a ubiquitous protein superfamily.}, journal = {bioRxiv}, year = {2021}, month = {2021 Jun 11}, abstract = {

Fold-switching proteins challenge the one-sequence-one-structure paradigm by adopting multiple stable folds. Nevertheless, it is uncertain whether fold switchers are naturally pervasive or rare exceptions to the well-established rule. To address this question, we developed a predictive method and applied it to the NusG superfamily of \>15,000 transcription factors. We predicted that a substantial population (25\%) of the proteins in this family switch folds. Circular dichroism and nuclear magnetic resonance spectroscopies of 10 sequence-diverse variants confirmed our predictions. Thus, we leveraged family-wide predictions to determine both conserved contacts and taxonomic distributions of fold-switching proteins. Our results indicate that fold switching is pervasive in the NusG superfamily and that the single-fold paradigm significantly biases structure-prediction strategies.

}, doi = {10.1101/2021.06.10.447921}, author = {Lauren L. Porter and Allen K. Kim and Loren L. Looger and Anaya Majumdar and Mary Starich} } @article {67703, title = {A sequence-based method for predicting extant fold switchers that undergo α-helix <-> β-strand transitions}, journal = {Biopolymers}, volume = {112}, year = {2021}, month = {2021 Oct 01}, abstract = {

Extant fold-switching proteins remodel their secondary structures and change their functions in response to cellular stimuli, regulating biological processes and affecting human health. In spite of their biological importance, these proteins remain understudied. Few representative examples of fold switchers are available in the Protein Data Bank, and they are difficult to predict. In fact, all 96 experimentally validated examples of extant fold switchers were stumbled upon by chance. Thus, predictive methods are needed to expedite the process of discovering and characterizing more of these shapeshifting proteins. Previous approaches require a solved structure or all-atom simulations, greatly constraining their use. Here, we propose a high-throughput sequence-based method for predicting extant fold switchers that transition from α-helix in one conformation to β-strand in the other. This method leverages two previous observations: (1) α-helix \<-\> β-strand prediction discrepancies from JPred4 are a robust predictor of fold switching, and (2) the fold-switching regions (FSRs) of some extant fold switchers have different secondary structure propensities when expressed in isolation (isolated FSRs) than when expressed within the context of their parent protein (contextualized FSRs). Combining these two observations, we ran JPred4 on the sequences of isolated and contextualized FSRs from 14 known extant fold switchers and found α-helix \<-\>β-strand prediction discrepancies in every case. To test the overall robustness of this finding, we randomly selected regions of proteins not expected to switch folds (single-fold proteins) and found significantly fewer α-helix \<-\> β-strand prediction discrepancies (p \< 4.2*10-20, Kolmogorov-Smirnov test). Combining these discrepancies with the overall percentage of predicted secondary structure, we developed a classifier that often robustly identifies extant fold switchers (Matthews Correlation Coefficient of 0.70). Although this classifier had a high false negative rate (6/14), its false positive rate was very low (1/211), suggesting that it can be used to predict a subset of extant fold switchers from billions of available genomic sequences.

}, doi = {10.1101/2021.01.14.426714}, author = {Soumya Mishra and Loren L. Looger and Lauren L. Porter} } @article {64999, title = {A sequence-based approach for identifying protein fold switchers.}, journal = {bioRxiv}, year = {2018}, month = {2018 Nov 05}, abstract = {

Although most proteins conform to the classical one-structure/one-function paradigm, an increasing number of proteins with dual structures and functions are emerging. These fold-switching proteins remodel their secondary structures in response to cellular stimuli, fostering multi-functionality and tight cellular control. Accurate predictions of fold-switching proteins could both suggest underlying mechanisms for uncharacterized biological processes and reveal potential drug targets. Previously, we developed a prediction method for fold-switching proteins based on secondary structure predictions and structure-based thermodynamic calculations. Given the large number of genomic sequences without homologous experimentally characterized structures, however, we sought to predict fold-switching proteins from their sequences alone. To do this, we leveraged state-of-the-art secondary structure predictions, which require only amino acid sequences but are not currently designed to identify structural duality in proteins. Thus, we hypothesized that incorrect and inconsistent secondary structure predictions could be good initial predictors of fold-switching proteins. We found that secondary structure predictions of fold-switching proteins with solved structures are indeed less accurate than secondary structure predictions of non-fold-switching proteins with solved structures. These inaccuracies result largely from the conformations of fold-switching proteins that are underrepresented in the Protein Data Bank (PDB), and, consequently, the training sets of secondary structure predictors. Given that secondary structure predictions are homology-based, we hypothesized that decontextualizing the inaccurately-predicted regions of fold-switching proteins could weaken the homology relationships between these regions and their overpopulated structural representatives. Thus, we reran secondary structure predictions on these regions in isolation and found that they were significantly more inconsistent than in regions of non-fold-switching proteins. Thus, inconsistent secondary structure predictions can serve as a preliminary marker of fold switching. These findings have implications for genomics and the future development of secondary structure predictors.

}, doi = {10.1101/462606}, author = {Soumya Mishra and Loren L. Looger and Lauren L. Porter} } @article {65013, title = {Cofactor engineering of lactobacillus brevis alcohol dehydrogenase by computational design.}, journal = {Engineering in Life Sciences}, volume = {9}, year = {2009}, month = {2009 Feb 20}, pages = {38-44}, abstract = {

The R-specific alcohol dehydrogenase from\ Lactobacillus brevis\ (Lb-ADH) catalyzes the enantioselective reduction of prochiral ketones to the corresponding secondary alcohols. It is stable and has broad substrate specificity. These features make this enzyme an attractive candidate for biotechnological applications. A drawback is its preference for NADP(H) as a cofactor, which is more expensive and labile than NAD(H). Structure-based computational protein engineering was used to predict mutations to alter the cofactor specificity of Lb-ADH. Mutations were introduced into Lb-ADH and tested against the substrate acetophenone, with either NAD(H) or NADP(H) as cofactor. The mutant Arg38Pro showed fourfold increased activity with acetophenone and NAD(H) relative to the wild type. Both Arg38Pro and wild type exhibit a pH optimum of 5.5 with NAD(H) as cofactor, significantly more acidic than with NADP(H). These and related Lb-ADH mutants may prove useful for the green synthesis of pharmaceutical precursors.

}, doi = {10.1002/elsc.200800046}, author = {Ronnie Machielsen and Loren L. Looger and John Raedts and Sjoerd Dijkhuizen and Werner Hummel and Hans-Georg Hennemann and Thomas Daussmann and John van der Oost} }