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Kulkarni, S.

Publications and source records attributed to Kulkarni, S..

At least 55 records · Page 3Linked to original sources

A percolation-type criticality threshold controls immune protein coating of surfaces

When a material enters the body, it is immediately attacked by hundreds of proteins, organized into complex networks of binding interactions and reactions. How do such complex systems interact with a material, "deciding" whether to attack? We focus on the "complement" system of [~]40 blood proteins that bind microbes, nanoparticles, and medical devices, initiating inflammation. We show a sharp threshold for complement activation upon varying a fundamental material parameter, the surface density of potential complement attachment points. This sharp threshold manifests at scales spanning single nanoparticles to macroscale pathologies, shown here for diverse engineered and living materials. Computational models show these behaviors arise from a minimal subnetwork of complement, manifesting percolation-type critical transitions in the complement response. This criticality switch explains the "decision" of a complex signaling network to interact with a material, and elucidates the evolution and engineering of materials interacting with the body.

biophysics↗

The DNA damage response and RNA Polymerase II regulator Def1 has posttranscriptional functions in the cytoplasm

Def1 is a yeast protein that promotes transcription elongation and regulates the degradation of RNA polymerase II during transcription stress. Although Def1 is localized in the cytoplasm, its functions in this cellular compartment are not yet understood. Despite its well-established roles in transcription, a comprehensive genome-wide analysis of its impact on gene expression has not been conducted. Here, we performed RNA sequencing (RNA-seq) analysis on cells lacking DEF1 and surprisingly found that only a few hundred genes exhibited altered expression, both upregulated and downregulated. To evaluate mRNA synthesis and decay rates in these DEF1-deficient cells, we used a nascent transcription metabolic labeling technique called RATE-SEQ. As expected, we observed reduced synthesis rates across the genome in these cells. Additionally, a global decrease in mRNA decay rates was observed, suggesting that Def1 plays a role in the post-transcriptional regulation of mRNAs. The changes in synthesis and decay rates showed a strong correlation, indicating that this compensation helps buffer steady-state mRNA levels. To gain further insight into Def1s functions, we conducted proximity labeling experiments to identify its protein binding partners within the cells. Our findings revealed that Def1 primarily interacts with cytoplasmic regulators involved in post-transcriptional processes, including proteins responsible for deadenylation, decapping, and translation regulation. Using an mRNA decay reporter assay, we demonstrated that recruiting Def1 to mRNA reduces its expression and accelerates its turnover. In summary, we have identified a novel cytoplasmic function for Def1, establishing it as a key regulator of gene expression in both transcription and mRNA decay.

molecular biology↗

Human CCR4-NOT is a global regulator of gene expression and is a novel silencer of retrotransposon activation

CCR4-NOT regulates multiple steps in gene regulation and has been well studied in budding yeast, but much less is known about the human complex. Auxin-induced degradation was used to rapidly deplete the scaffold subunit CNOT1, and CNOT4, to characterize the functions of human CCR4-NOT in gene regulation. Depleting CNOT1 increased RNA levels and caused a widespread decrease in RNA decay. In contrast, CNOT4 depletion only modestly changed steady-state RNA levels and, surprisingly, led to a global acceleration in mRNA decay. Further, depleting either subunit resulted in a global increase in RNA synthesis. In contrast to most of the genome, the transcription of KRAB-Zinc-Finger-protein (KZNFs) genes, especially those on chromosome 19, was repressed. KZNFs are transcriptional repressors of retrotransposable elements (rTEs), and consistent with the decreased KZNFs expression, rTEs, mainly Long Interspersed Nuclear Elements (LINEs), were activated. These data establish CCR4-NOT as a global regulator of gene expression and a novel silencer of rTEs.

molecular biology↗

Monocytes Mobilized by Gut Neurons Remodel the Enteric Nervous System

The proper organization of the enteric nervous system (ENS) is critical for normal gastrointestinal (GI) physiology. Inflammatory bowel disease (IBD) dysregulates GI physiology, including bowel movements (motility), but in many IBD patients, GI motility disorders persist in remission through a poorly understood pathological process. Here we uncover that post-inflammatory GI dysmotility (PI-GID) stems from structural ENS remodeling driven by a combination of neuronal loss and neurogenesis. Enteric neurons respond to mucosal inflammation by upregulating CCL2 expression and facilitating the recruitment of CCR2+ monocytes into the neural myenteric plexus within the intestinal muscle. This is followed by the expansion of monocyte-derived macrophages and their migration into the myenteric ganglia and phagocytosis of neurons. However, excessive recruitment of monocytes results in disproportionate ENS remodeling and PI-GID. The expansion of inflammatory cells is known to promote tissue hypoxia. We find that enteric neurons become hypoxic upon colitis, but hypoxia-induced signaling via HIF1 initiates an adaptation program in enteric neurons to attenuate CCL2 expression and limit monocyte recruitment. We demonstrate that reinforcing HIF1 signaling in enteric neurons prevents PI-GID by reducing colitis-associated monocyte recruitment in the myenteric plexus and protecting against ENS remodeling. In summary, our findings unveil PI-GID pathogenesis and identify a regulatory axis for its prevention. One Sentence SummaryIntestinal mucosal inflammation engages enteric neurons in the inflammatory response leading to neurogenic recruitment of monocytes into the extra-mucosal myenteric plexus followed by pathological structural remodeling of the enteric nervous system by monocyte-derived macrophages.

immunology↗

Profiling Glioma Stem Cell Dynamics via 3D-based Cell Cycle Reporter Assays

Successful containment of unwanted cell cycle progression in tumours such as glioblastoma (GBM) requires targeted therapeutic approaches which rely on understanding cell cycle dynamics in response to microenvironmental stimuli. Glioma Stem Cells (GSCs) can drive tumour initiation, recurrence, therapy resistance, and are often attributed to the heterogeneity and plasticity of GBM. In vitro models using patient-derived GSCs provide a life relevant tool for exploration of complex molecular mechanisms underlying the aggressive characteristics of GBM. Introduction of 3D tissue culture systems permits the study of spatial complexity of the tumour mass and enables control over diverse conditions within the surrounding microenvironment. This chapter demonstrates detailed methods to study spatio-temporal changes to the cell cycle dynamics using available fluorescent cell cycle reporter systems in combination with bioinformatics-based signal intensity and localization analysis. We present a successful approach that investigates the 3D cell cycle dynamics of GSC populations. This approach utilizes GBM neurosphere and organoid cultures, which are assessed over time and under therapeutic pressure. These models can be further explored, manipulated, and customized to serve specific experimental designs.

cancer biology↗

MSMEG_0311 is a conserved essential polar protein involved in mycobacterium cell wall metabolism

Cell wall synthesis and cell division are two closely linked pathways in a bacterial cell which distinctly influence the growth and survival of a bacterium. This requires an appreciable coordination between the two processes, more so, in case of mycobacteria with an intricate multi-layered cell wall structure. In this study, we investigated a conserved gene cluster and show that knockdown of most of the genes in this cluster leads to growth defects. We further characterised one of the genes, MSMEG_0311. The repression of this gene not only imparts severe growth defect but also changes colony morphology. We demonstrate that the protein preferentially localises to the polar region and show its influence on the polar growth of the bacillus. A combination of permeability and drug susceptibility assay strongly suggests a cell wall associated function of this gene which is also corroborated by transcriptomic analysis of the knockdown. Considering the gene is highly conserved across mycobacterial species and appears to be essential for growth, it may serve as a potential drug target.

molecular biology↗

Biologically meaningful regulatory logic enhances the convergence rate in Boolean networks and bushiness of their state transition graph

Boolean network (BN) models of gene regulatory networks (GRNs) have gained widespread traction as they can easily recapitulate cellular phenotypes via their attractor states. The overall dynamics of such models are embodied in the systems state transition graph (STG) which is highly informative. Indeed, even if two BN models have the same network structure and recover the same attractors, their STGs can be drastically different depending on the type of regulatory logic rules or Boolean functions (BFs) employed. A key objective of the present work is to systematically delineate the effects of different classes of regulatory logic rules on the structural features of the STG of reconstructed Boolean GRNs, while keeping BN structure and biological attractors fixed. Furthermore, we ask how such global features might be driven by characteristics of the underlying BFs. For that, we draw from ideas and concepts proposed in cellular automata for both the structural features and their associated proxies. We use the network of 10 reconstructed Boolean GRNs to generate ensembles that differ in the type of logic used while keeping their structure fixed and recovering their biological attractors, and compute quantities associated with the structural features of the STG: bushiness and convergence, that are based on the number of garden-of-Eden (GoE) states and transient times to reach attractor states when originating at them. We find that ensembles employing biologically meaningful BFs have higher bushiness and convergence than those employing random ones. Computing these global measures gets expensive with larger network sizes, stressing the need for more feasible proxies. We thus adapt Wuensches Z-parameter to BFs in BNs and provide 4 natural variants, which along with the network sensitivity, comprise our descriptors of local dynamics. One variant of the network Z-parameter as well as the network sensitivity correlate particularly very well with the bushiness, serving as a good proxy for the same. Finally, we provide an excellent proxy for the convergence based on computing transient lengths originating at random states rather than GoE states.

systems biology↗

Generating human neural diversity with a multiplexed morphogen screen in organoids

Morphogens choreograph the generation of remarkable cellular diversity in the developing nervous system. Differentiation of stem cells toward particular neural cell fates in vitro often relies upon combinatorial modulation of these signaling pathways. However, the lack of a systematic approach to understand morphogen-directed differentiation has precluded the generation of many neural cell populations, and knowledge of the general principles of regional specification remain in-complete. Here, we developed an arrayed screen of 14 morphogen modulators in human neural organoids cultured for over 70 days. Leveraging advances in multiplexed RNA sequencing technology and annotated single cell references of the human fetal brain we discovered that this screening approach generated considerable regional and cell type diversity across the neural axis. By deconvoluting morphogen-cell type relationships, we extracted design principles of brain region specification, including critical morphogen timing windows and combinatorics yielding an array of neurons with distinct neuro-transmitter identities. Tuning GABAergic neural subtype diversity unexpectedly led to the derivation of primate-specific interneurons. Taken together, this serves as a platform towards an in vitro morphogen atlas of human neural cell differentiation that will bring insights into human development, evolution, and disease.

neuroscience↗

Rate of neuronal turnover in the healthy adult murine myenteric ganglia varies with ganglia size

Maintenance of normal structure of the enteric nervous system (ENS), which regulates key gastrointestinal functions, requires robust homeostatic mechanisms, since by virtue of its location within the gut wall, the ENS is subject to constant mechanical, chemical, and biological stressors. Using transgenic and thymidine analogue-based experiments, we previously discovered that neuronal turnover - where continual neurogenesis offsets ongoing neuronal loss at steady state - represents one such mechanism. Although other studies confirmed that neuronal death continues into adulthood in the myenteric plexus of the enteric nervous system (ENS), the complicated nature of thymidine analogue presents challenges in substantiating the occurrence of adult neurogenesis. Therefore, its vital to employ alternative, well-recognized techniques to substantiate the existence of adult enteric neurogenesis in the healthy gut. Here, by using established methods of assessing nuclear DNA content and detecting known mitotic marker phosphor-histone H3 (pH3) in Hu+ adult ENS cells, we show that [~]10% of adult murine small intestinal myenteric Hu+ cells, and [~]20% of adult human small intestinal myenteric Hu+ cells show evidence of mitosis and hence are cycling neuroblasts. We observe that proportions of Hu+ cycling neuroblasts in the adult murine ENS neither vary with ganglia size, nor do they differ significantly between two intestinal regions - duodenum and ileum, or between sexes. Confocal microscopy provides further evidence of cytokinesis in Hu+ cells. The presence of a significant population of cycling neuroblasts in adult ENS provide further evidence of steady state neurogenesis in the adult ENS.

neuroscience↗

Neglected no longer: Phylogenomic resolution of higher-level relationships in Solifugae

Considerable progress has been achieved in resolving higher-level relationships of Arthropoda in the past two decades, largely precipitated by advances in sequencing technology. Yet, dark branches persist in the arthropod tree of life, principally among groups that are difficult to collect, occur in cryptic habitats, or are characterized by minute body size. Among chelicerates, the mesodiverse order Solifugae (commonly called camel spiders or sun spiders) is one of the last orders of Arachnida that lacks a higher-level phylogeny altogether and has long been characterized as one of the "neglected cousins", a lineage of arachnid orders that are comparatively poorly studied with respect to evolutionary relationships. Though renowned for their aggression, remarkable running speed, and adaptation to arid habitats, inferring solifuge relationships has been hindered by inaccessibility of diagnostic characters in most ontogenetic stages for morphological datasets, whereas molecular investigations to date have been limited to one of the 12 recognized families. In this study we generated a phylogenomic dataset via capture of ultraconserved elements (UCEs) and sampled all extant families. We recovered a well-resolved phylogeny of solifuge families, with two distinct groups of New World taxa nested within a broader Paleotropical radiation. To provide a temporal context to solifuge diversification, we estimated molecular divergence times using fossil calibrations within a least-squares framework. Solifugae were inferred to have radiated by the Permian, with divergences of most families dating to the post Paleogene-Cretaceous extinction. These results accord with a diversification history largely driven by vicariance as a result of continental breakup.

evolutionary biology↗

A full computational model of cell motility: Early spreading, cell migration and competing taxis

Cell motility represents one of the most fundamental function in mechanobiology. Cell motility is directly implicated in development, cancer or tissue regeneration, but it also plays a key role in the future of tissue and biomedical engineering. Here, we derived a computational model of cell motility that incorporates the most important mechanisms toward cell motility: cell protrusion, polarization and retrograde flow. We first validate our model to explain two important types of cell migration, i.e. confined and ameboid cell migration, as well as all phases of the latter cell migration type, i.e. symmetric cell spreading, cell polarization and latter migration. Then, we use our model to investigate durotaxis and chemotaxis. The model predicts that chemotaxis alone induces larger migration velocities than durotaxis and that durotaxis is activated in soft matrices but not in stiff ones. More importantly, we analyze the competition between chemical and mechanical signals. We show that chemotaxis rules over durotaxis in most situations although durotaxis diminishes chemotaxis. Moreover, we show that inhibiting the effect of GTPases in actin polymerization at the cell front may allow durotaxis to take control over chemotaxis in soft substrates. Understanding how the main forces in cell motility cooperate, and how a precise manipulation of external cues may control directed cell migration is not only key for a fundamental comprehension of cell biology but also to engineer better biomimetic tissues. To this end, we provide a freely-available platform to predict all phases and modes of cell motility analyzed in this work.

biophysics↗

CRISPR screens in 3D assembloids reveal disease genes associated with human interneuron development

The assembly of cortical circuits involves the generation and migration of cortical interneurons from the ventral to the dorsal forebrain, which has been challenging to study in humans as these processes take place at inaccessible stages of late gestation and early postnatal development. Autism spectrum disorder (ASD) and other neurodevelopmental disorders (NDDs) have been associated with abnormal cortical interneuron development, but which of the hundreds of NDD genes impact interneuron generation and migration into circuits and how they mediate these effects remain unknown. We previously developed a stem cell-based platform to study human cortical interneurons in self-organizing organoids resembling the ventral forebrain and their migration using forebrain assembloids. Here, we integrate assembloid technology with CRISPR screening to systematically investigate the involvement of 425 NDD genes in human interneuron development. The first screen aimed at interneuron generation revealed 13 candidate genes, including the RNA-binding protein CSDE1 and the canonical TGF{beta} signaling activator SMAD4. Then, we ran an interneuron migration screen in [~]1,000 forebrain assembloids that identified 33 candidate genes, including cytoskeleton-related genes and, notably, the endoplasmic reticulum (ER)-related gene LNPK. Interestingly, we discovered that, during interneuron migration, the ER is displaced along the leading neuronal branch prior to nuclear translocation. Deletion of LNPK interfered with this ER displacement and resulted in reduced interneuron saltation length, indicating a critical role for the ER in this migratory process. Taken together, these results highlight how this versatile CRISPR-assembloid platform can be used to systematically map disease genes onto early stages of human neural development and to reveal novel mechanisms regulating interneuron development.

neuroscience↗

Physiologically Based Multiphysics Pharmacokinetic Model for Determining the Temporal Biodistribution of Targeted Nanoparticles

Nanoparticles (NP) are being increasingly explored as vehicles for targeted drug delivery because they can overcome free therapeutic limitations by drug encapsulation, thereby increasing solubility and transport across cell membranes. However, a translational gap exists from animal to human studies resulting in only several NP having FDA approval. Because of this, researchers have begun to turn toward physiologically based pharmacokinetic (PBPK) models to guide in vivo NP experimentation. However, typical PBPK models use an empirically derived framework that cannot be universally applied to varying NP constructs and experimental settings. The purpose of this study was to develop a physics-based multiscale PBPK compartmental model for determining continuous NP biodistribution. We successfully developed two versions of a physics-based compartmental model, models A and B, and validated the models with experimental data. The more physiologically relevant model (model B) had an output that more closely resembled experimental data as determined by normalized root mean squared deviation (NRMSD) analysis. A branched model was developed to enable the model to account for varying NP sizes. With the help of the branched model, we were able to show that branching in vasculature causes enhanced uptake of NP in the organ tissue. The models were solved using two of the most popular computational platforms, MATLAB and Julia. Our experimentation with the two suggests the highly optimized ODE solver package DifferentialEquations.jl in Julia outperforms MATLAB when solving a stiff system of ordinary differential equations (ODEs). We experimented with solving our PBPK model with a neural network using Julias Flux.jl package. We were able to demonstrate that a neural network can learn to solve a system of ODEs when the system can be made non-stiff via quasi-steady-state approximation (QSSA). In the future, this model will incorporate modules that account for varying NP surface chemistries, multiscale vascular hydrodynamic effects, and effects of the immune system to create a more comprehensive and modular model for predicting NP biodistribution in a variety of NP constructs. Author summaryNanoparticles (NP) have been used in various drug delivery contexts because they can target specific locations in the body. However, there is a translational gap between animals and humans, so researchers have begun toward computational models to guide in vivo NP experimentation. Here, we present several versions of physics-based multiscale physiologically based pharmacokinetic models (PBPK) for determining NP biodistribution. We successfully developed two versions of ODE-based compartmental models (models A and B) and an ODE-based branched vascular model implemented in MATLAB and Julia and validated models with experimental data. Additionally, we demonstrated using a neural network to solve our ODE system. In the future, this model can integrate different NP surface chemistries, immune system effects, multiscale vascular hydrodynamic effects, which will enhance the ability of this model to guide a variety of in vivo experiments.

bioengineering↗

Efficient inhibition of HIV using CRISPR/Cas13d nuclease system

Recently discovered Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas13 proteins are programmable RNA-guided ribonucleases that target single-stranded RNA (ssRNA). CRISPR/Cas13 mediated RNA targeting has emerged as a powerful tool for detecting and eliminating RNA viruses. Here, we demonstrate the effectiveness of CRISPR/Cas13d to inhibit HIV-1 replication. We designed guide RNAs (gRNAs) targeting highly conserved regions of HIV-1. RfxCas13d (CasRx) in combination with HIV-specific gRNAs efficiently inhibited HIV-1 replication in cell line models. Furthermore, simultaneous targeting of four distinct sites in the HIV-1 transcript resulted in robust inhibition of HIV-1 replication. We also show the effective HIV-1 inhibition in primary CD4+ T-cells and suppression of HIV-1 reactivated from latently infected cells using the CRISPR/Cas13d system. Our study demonstrates the utility of the CRISPR/Cas13d nuclease system to target acute and latent HIV infection and provides an alternative treatment modality against HIV.

molecular biology↗

COUNTEN an AI-driven tool for rapid, and objective structural analyses of the Enteric Nervous System

Healthy gastrointestinal functions require a healthy Enteric Nervous System (ENS). ENS health is often defined by the presence of normal ENS structure. However, we currently lack a comprehensive understanding of normal ENS structure as current methodologies of manual enumeration of neurons within tissue and ganglia can only parse limited tissue regions; and are prone to error, subjective bias, and peer-to-peer discordance. Thus, there is a need to craft objective methods and robust tools to capture and quantify enteric neurons over a large area of tissue and within multiple ganglia. Here, we report on the development of an AI-driven tool COUNTEN which parses HuC/D-immunolabeled adult murine myenteric ileal plexus tissues to enumerate and classify enteric neurons into ganglia in a rapid, robust, and objective manner. COUNTEN matches trained humans in identifying, enumerating and clustering myenteric neurons into ganglia but takes a fraction of the time, thus allowing for accurate and rapid analyses of a large tissue region. Using COUNTEN, we parsed thousands of myenteric neurons and clustered them in hundreds of myenteric ganglia to compute metrics that help define the normal structure of the adult murine ileal myenteric plexus. We have made COUNTEN freely and openly available to all researchers, to facilitate reproducible, robust, and objective measures of ENS structure across mouse models, experiments, and institutions.

neuroscience↗

Neural crest-derived neurons are replaced by a newly identified mesodermal lineage in the post-natal and aging enteric nervous system

The enteric nervous system (ENS), a collection of neural cells contained in the wall of the gut, is of fundamental importance to gastrointestinal and systemic health. According to the prevailing paradigm, the ENS arises from progenitor cells migrating from the neural crest and remains largely unchanged thereafter. Here, we show that the lineage composition of maturing ENS changes with time, with a decline in the canonical lineage of neural-crest derived neurons and their replacement by a newly identified lineage of mesoderm-derived neurons. Single cell transcriptomics and immunochemical approaches establish a distinct expression profile of mesoderm-derived neurons. The dynamic balance between the proportions of neurons from these two different lineages in the post-natal gut is dependent on the availability of their respective trophic signals, GDNF-RET and HGF-MET. With increasing age, the mesoderm-derived neurons become the dominant form of neurons in the ENS, a change associated with significant functional effects on intestinal motility which can be reversed by GDNF supplementation. Transcriptomic analyses of human gut tissues show reduced GDNF-RET signaling in patients with intestinal dysmotility which is associated with reduction in neural crest-derived neuronal markers and concomitant increase in transcriptional patterns specific to mesoderm-derived neurons. Normal intestinal function in the adult gastrointestinal tract therefore appears to require an optimal balance between these two distinct lineages within the ENS.

neuroscience↗

Intestinal Bacteria Maintain Adult Enteric Nervous System and Nitrinergic Neurons via Toll-like Receptor 2-induced Neurogenesis in Mice

Background & AimsThe enteric nervous system (ENS) exists in close proximity to luminal bacteria. Intestinal microbes regulate ENS development, but little is known about their effects on adult enteric neurons. We investigated whether intestinal bacteria or their products affect the adult ENS via toll like receptors (TLRs) in mice. MethodsWe performed studies with conventional C57/BL6, germ-free C57/BL6, Nestin-creERT2:tdTomato, Nestin-GFP, and ChAT-cre:tdTomato. Mice were given drinking water with ampicillin or without (controls). Germ-free mice were given drinking water with TLR2 agonist or without (controls). Some mice were given a blocking antibody against TLR2 or a TLR4 inhibitor. We performed whole-gut transit, bead latency, and geometric center studies. Feces were collected and analyzed by 16S rRNA gene sequencing. Longitudinal muscle myenteric plexus (LMMP) tissues were collected, analyzed by immunohistochemistry, and levels of nitric oxide were measured. Cells were isolated from colonic LMMP of Nestin-creERT2:tdTomato mice and incubated with agonists of TLR2 (receptor for Gram-positive bacteria), TLR4 (receptor for Gram-negative bacteria), or distilled water (control) andd analyzed by flow cytometry. ResultsStool from mice given ampicillin had altered composition of gut microbiota with reduced abundance of Gram-positive bacteria and increased abundance of Gram-negative bacteria, compared with mice given only water. Mice given ampicillin had reduced colon motility compared with mice given only water, and their colonic LMMP had reduced numbers of nitrergic neurons, reduced nNOS production, and reduced colonic neurogenesis. Numbers of colonic myenteric neurons increased after mice were switched from ampicillin to plain water, with increased markers of neurogenesis. Nestin-positive ENPCs expressed TLR2 and TLR4. In cells isolated from the colonic LMMP, incubation with the TLR2 agonist increased the percentage of neurons originating from ENPCs to approximately 10%, compared to approximately 0.01% in cells incubated with the TLR4 agonist or distilled water. Mice given an antibody against TLR2 had prolonged whole-gut transit times; their colonic LMMP had reduced total neurons and a smaller proportion of nitrergic neurons per ganglion, and reduced markers of neurogenesis compared with mice given saline. Colonic LMMP of mice given the TLR4 inhibitor did not have reduced markers of neurogenesis. Colonic LMMP of germ-free mice given TLR2 agonist had increased neuronal numbers compared with control germ-free mice. ConclusionsIn the adult mouse colon, TLR2 promotes colonic neurogenesis, regulated by intestinal bacteria. Our findings indicate that colonic microbiota help maintain the adult ENS via a specific signaling pathway. Pharmacologic and probiotic approaches directed towards specific TLR2 signaling processes might be developed for treatment of colonic motility disorders related to use of antibiotics or other factors.

neuroscience↗

Determination of Cas9/dCas9 associated toxicity in microbes

The CRISPR-Cas9 system has been used extensively in eukaryotic and prokaryotic systems for various applications. In case of the latter, a couple of previous studies had shown Cas9 protein expression associated toxicity. We studied the same in five microbes, viz Escherichia coli, Salmonella typhimurium, Mycobacterium smegmatis, Xanthomonas campestris and Deinococcus radiodurans. Transformation efficiency of plasmids carrying genes coding for Cas9 or dCas9 was used to gauge toxicity associated with Cas9 protein expression. Results showed differential levels of Cas9 toxicity among the bacteria and lower transformation efficiency for cas9/dcas9 bearing plasmids compared to controls in general. This indicated lethal effect of Cas9/dCas9 expression. While E. coli and S. typhimurium seemed to tolerate Cas9/dCas9 fairly well, in GC rich microbes, M. smegmatis, X. campestris and D. radiodurans, Cas9/dCas9 associated toxicity was acute.

microbiology↗