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Sridhar, A.

Publications and source records attributed to Sridhar, A..

At least 19 recordsLinked to original sources

Programmable DNA-peptide nanostructures for multivalent regulation of intracellular signalling

The Wnt/{beta}-catenin pathway is constitutively active in most colorectal and other cancers. Tankyrase (TNKS) promotes Wnt signalling by PARylating AXIN, a rate-limiting scaffold subunit of the {beta}-catenin destruction complex, and its inhibition is a validated strategy for pathway downregulation. Existing small-molecule TNKS inhibitors that target the catalytic PARP domain suffer from off-target effects across the PARP family. Here, we present an alternative approach that targets the substrate binding domains of TNKS using a short TNKS-binding peptide (TBP) presented multivalently on DNA nanostructures. Such a strategy may be required to effectively disrupt the function of targets such as TNKS, which is known to form high-order assemblies in the cell. We engineered DNA nanostructures with two distinct geometries: a 2D triangle (~100 nm) displaying 27 copies of TBP, and a compact 3D tetrahedron (~10 nm) displaying 2 TBP copies. We show that both nanostructures assemble efficiently, can be functionalised with TBP in high yields, and retain binding to TNKS protein in vitro. DNA nanostructures are efficiently internalised to the cytoplasm by HeLa Kyoto and colorectal cancer cells, with TBP functionalisation enhancing rather than hindering uptake. In HeLa cells, both triangle-TBP and tetrahedron-TBP downregulated Wnt signalling to a similar extent despite an order-of-magnitude difference in TBP copy number, while the same concentration of free TBP had no effect. This finding likely reflects the two functions of the DNA nanostructures - intracellular delivery and multivalent display - whereby the smaller nanostructures more efficiently internalise the TBP ligand but have lower valency. These results establish DNA nanostructures as a modular, tuneable platform for multivalent inhibition of intracellular clustered targets such as TNKS.

biophysics↗

JAK and TYK2 inhibitors differentially modulate interferon/TNF-driven inflammation, stemness and proliferation in the colonic epithelium of ulcerative colitis

BackgroundJanus kinase (JAK)-Signal Transducer and Activator of Transcription (STAT) pathway is a key regulator of inflammatory signaling in ulcerative colitis (UC). While most studies have focused on JAK/tyrosine kinase 2 (TYK2) inhibitors effects on immune cell-mediated responses, their direct epithelial impact remains less known. We investigated epithelial-specific transcriptional responses to JAK/TYK2 inhibitors using patient-derived intestinal epithelial organoids (IEOs) under UC-relevant conditions. MethodsColonic IEOs from UC patients were pretreated with various concentrations of tofacitinib, upadacitinib, filgotinib, brepocitinib, and deucravacitinib for 1 hour prior to stimulation with IFN{beta}, IFN{gamma}, or IFN{lambda}1 for Western blot analysis of STAT1/3 and TYK2 phosphorylation. For transcriptomic profiling, IEOs were pretreated with upadacitinib or deucravacitinib for 16 hours, followed by 8-hour stimulation with IFN{gamma}, IFN{lambda}1, TNF, or IFN{gamma} + TNF. Bulk RNA sequencing assessed differential gene expression, and multiplex assays quantified chemokine secretion. Ki67 immunohistochemistry on colonic biopsies from healthy controls, and UC patients with and without JAK inhibitors-treatment were assessed for epithelial proliferation. ResultsIFNs induced distinct STAT1/3 and TYK2 activation, with IFN{beta}/{gamma} eliciting stronger phosphorylation than IFN{lambda}1. All JAK/TYK2 inhibitors regulated pSTAT1/3 and pTYK2, with upadacitinib most strongly inhibiting pSTAT1/3 and deucravacitinib selectively targeting pTYK2. Transcriptomic analysis revealed extensive cytokine-driven gene regulation, with IFN{gamma} + TNF eliciting the strongest response. Enrichment analysis highlighted upregulation of IFN signaling, antigen presentation, and innate immune pathways, alongside downregulation of cell-cycle processes. Drug-response profiling showed minimal transcriptional changes with upadacitinib and deucravacitinib alone. Upadacitinib broadly modulated IFNs and IFN{gamma} + TNF-regulated genes, attenuating JAK-STAT, NF{kappa}B, antiviral, and cell death pathways, while restoring genes linked to mucosal healing. Upadacitinib also reduced IFNs and IFN{gamma} + TNF-driven chemokine genes and protein secretion. In contrast, deucravacitinib showed selective, potent inhibition of inflammatory genes under IFN{lambda}1-stimulation. Both inhibitors minimally impacted TNF-driven pathways. Ki67 immunohistochemistry confirmed enhanced epithelial proliferation in JAK inhibitor-treated UC patients regardless of mucosal inflammation status. ConclusionsOur findings provide novel evidence that JAK/TYK2 inhibitors influence epithelial transcriptional programs associated with inflammation and mucosal healing. Upadacitinib demonstrated broader modulation of cytokine-driven gene networks compared to TYK2-selective inhibition. These findings provide insight into epithelial-specific drug actions and support precision approaches for UC therapy.

molecular biology↗

Correlations of 276 missense variants of PSEN1, PSEN2, and APP on the production of Aβ peptides against variant effect predictors and biophysical structures

INTRODUCTIONEarly-onset Alzheimers disease (EOAD) is mostly caused by mutations in Presenilin-1,2 (PSEN1, PSEN2), and amyloid precursor protein (APP) genes. Both genetic and experimental evidence has supported the PSEN-APP amyloid hypothesis as the leading pathogenesis of AD. Thus far, 276 missense variants from PSEN1,2, and APP have been identified. Herein, we report the development of algorithm platforms for predicting the degrees of pathogenic potentials of these various missense mutations in AD. METHODSWe performed extensive pairwise correlations between 276 in vitro functional assays of missense variants from PSEN1, PSEN2, and APP and clinical data among EOAD patients against 37 variant effect predictors (VEPs). Furthermore, we used the structural models of all three proteins to refine understanding of the molecular basis of missense variants in dominant negative (DN) or loss-of-function (LoF) effects. RESULTSWe found that VEPs were consistently correlated with age of onset (AAO) among EOAD patients and the A{beta}42/A{beta}40 ratio biomarker. This study also identified discrepancies in the predictor variable leading to an increase in the A{beta}42/A{beta}40 ratio; The increased A{beta}42/A{beta}40 ratio was due to decreased A{beta}40 levels by Sun et al., (2016), while Petit et al., (2022) argued that increased A{beta}42 level was the culprit. We also identified that with increased predicted pathogenicity, there were decreased A{beta}38 levels. Conversely, this study found no direct correlations with A{beta}37 and A{beta}43. Lastly, structural studies show characteristics of either DN and LoF mechanisms, as there were numerous variants located in buried hydrophobic domains and those on charged surfaces of the proteins. DISCUSSIONCurrently, a major limitation in the field is the lack of reliable approaches for predicting the pathogenicity of variants in EOAD. We show that VEPs are promising in deciphering the effects of variants in PSEN1, PSEN2, and APP genes, especially between multiple pathogenic mutations. Our study also illuminates the need for experimental studies to identify the predictor variable causing the increased A{beta}42/A{beta}40 biomarker. Our biophysical studies also identify the need to characterize whether the mechanism of pathogenesis caused by DN or LoF effects is in scope of the presenilin hypothesis. Research in ContextO_LISystematic review: The authors reviewed experimental evidence of pathogenic PSEN1, PSEN2, and APP variants in scope of the presenilin hypothesis. To our knowledge, the pathogenesis of EOAD remains incompletely understood. There are also no predictive tools/models available for informing clinical translation. C_LIO_LIInterpretation: VEPs demonstrate strong correlations with AAO and A{beta} levels from pairwise correlations with 276 missense variants. Structurally, it appears that mutations demonstrate characteristics of dominant negative and loss-of-function effects. C_LIO_LIFuture Direction: Larger studies are necessary of VEPs for realistic clinical usage. C_LI HighlightsO_LIWe performed correlations of 37 VEPs against in vitro data of EOAD variants. C_LIO_LIVEPs demonstrate potential as diagnostic tools for early onset Alzheimers disease. C_LIO_LIPathogenic missense variants show characteristics of DN and LoF effects. C_LI

neuroscience↗

A broad set of synthetic cannabinoid receptor agonists inhibit the cardiac voltage-gated potassium channel hERG

Synthetic cannabinoid receptor agonists (SCRAs) is a large group of structurally diverse designer drugs (analogues of controlled substances) associated with intense and sometimes fatal intoxication. Cardiac symptoms including tachycardia and arrhythmia are common consequences of SCRA consumption. However, little is known about the mechanisms through which SCRAs may perturb cardiac rhythm. Here we used electrophysiological techniques to screen 36 SCRAs on two ion channels responsible for cardiomyocyte repolarization, hERG (also called KV11.1) and KV7.1/KCNE1. We report that the majority of tested SCRAs inhibited hERG, primarily by reducing channel conductance, and some also inhibited KV7.1/KCNE1. In silico data suggests that SCRAs use a known drug binding site in the pore of the hERG channel, shared by established hERG blockers like astemizole, where a planar SCRA molecule lays perpendicular to the ion conducting pathway. Experimental and in silico data identify SCRA structural features associated with prominent inhibitory effects on hERG, with chemical moieties allowing bond formation and/or the ability to fit into the vestibule being important. Structure-activity-relationships for SCRA effects on hERG, KV7.1/KCNE1 and the cannabinoid receptor 1 (CB1) varied, demonstrating the importance of assessing SCRA effects on multiple potential targets. In conclusion, we found SCRAs to be inhibitors of cardiac voltage-gated potassium channels important for cardiomyocyte repolarization. These results offer mechanistic insight into potentially detrimental SCRA effects on the heart and highlight the urgency of more extensive investigation of SCRAs on cardiac function.

pharmacology and toxicology↗

Efficient and reproducible pipelines for spike sorting large-scale electrophysiology data

The scale of in vivo electrophysiology has expanded in recent years, with simultaneous recordings across thousands of electrodes now becoming routine. These advances have enabled a wide range of discoveries, but they also impose substantial computational demands. Spike sorting, the procedure that extracts spikes from extracellular voltage measurements, remains a major bottleneck: a dataset collected in a few hours can take days to spike sort on a single machine, and the field lacks rigorous validation of the many spike sorting algorithms and preprocessing steps that are in use. Advancing the speed and accuracy of spike sorting is essential to fully realize the potential of large-scale electrophysiology. Here, we present an end-to-end spike sorting pipeline that leverages parallelization to scale to large datasets. The same workflow can run reproducibly on individual workstations, high-performance computing clusters, or cloud environments, with computing resources tailored to each processing step to reduce costs and execution times. In addition, we introduce a benchmarking pipeline, also optimized for parallel processing, that enables systematic comparison of multiple sorting pipelines. Using this framework, we show that Kilosort4, a widely used spike sorting algorithm, outperforms Kilosort2.5 (Pachitariu et al. 2024). We also show that 7x lossy compression, which substantially reduces the cost of data storage, has minimal impact on spike sorting performance. Together, these pipelines address the urgent need for scalable and transparent spike sorting of electrophysiology data, preparing the field for the coming flood of multi-thousand-channel experiments.

neuroscience↗

CBM KG: A Comorbidity-Centric Knowledge Graph Uncovering Causal Pathomechanisms Between COVID-19 and Neurodegenerative Diseases

SummaryCOVID-19 is increasingly recognized as a potential trigger or accelerator of neurodegenerative diseases such as Alzheimers and Parkinsons. To systematically explore the putative molecular and clinical associations between them, we present CBM KG (Causal Biological Mechanisms Knowledge Graph)--a manually curated, comorbidity-centric resource developed within the EU-funded COMMUTE project. CBM KG integrates over 2,800 cause-and-effect or correlative relationships from 63 peer-reviewed publications, highlighting key mechanisms such as viral entry routes, blood-brain barrier alteration, microglial activation, neuroinflammation, and APOE {varepsilon}4-associated susceptibility. Each relationship in the graph is fully traceable to its source evidence, ensuring transparency and reproducibility. Unlike general-purpose or single disease-focused knowledge graphs, CBM KG is specifically designed to represent causal biological mechanisms spanning both infectious and neurodegenerative processes. By encoding directional, cause-and-effect relationships, it supports the interpretation of clinical co-occurrences through plausible mechanistic links between overlapping disease pathways, offering high-resolution insights at both molecular and clinical levels. Availability and implementationThe BEL files, Neo4j database, and Cytoscape visualization files are publicly available at: https://github.com/SCAI-BIO/CBM-Comorbidity-KG.

bioinformatics↗

Deciphering gain-of-function from loss-of-function variants with AlphaMissense: A case study with the mechanosensitive PIEZO1 ion channel protein

Pathogenic missense mutations are commonly found in protein-coding regions of DNA, and often alter protein function. In the past decade, enormous experimental efforts have been undertaken through the development of functional assays, mutagenesis screenings, and computational prediction algorithms to characterize these variants. Indeed, most efforts have been focused towards identifying degrees of loss-of-function (LoF) effects on the three-dimensional structures of proteins, but gain-of-function (GoF) mutations remain poorly understood. Herein, we performed a case study of the PIEZO1 mechanosensitive ion channel protein whose GoF variants (n = 56) are implicated in hereditary xerocytosis (HX) and LoF variants (n = 6) in lymphatic dysplasia (LD), respectively. This study evaluated the abilities of AlphaMissense (AM) to decipher both mutation types, and benchmarked its performance against other algorithmic approaches, including Combined Annotation Dependent Depletion (CADD) v1.7, evolutionary model of variant effect (EVE), and Evolutionary Scale Modeling-1b (ESM-1B). We found that all approaches excelled in identifying LoF variants but were often ambiguous in their predictions for GoF PIEZO1 variants. ESM-1b was a notable exception that demonstrated balance sensitivity to both GoF and LoF variants as it likely identified certain sequential features not utilized in other approaches. Secondly, our findings suggest that GoF variants of HX do not significantly destabilize the PIEZO1 structure and are not generally identified by conventional signatures of damage from these algorithms. GoF variants are not synonymous with direct changes in changes in free energy upon mutations. Furthermore, we validated computational structure predictions of PIEZO1 against resolved cryo-EM structures, and provided biophysical data for variants located on unresolved residues of this ion channel. We formulated a weighted ensemble model that performed similarly to AM and outperformed all other traditional approaches evaluated in this study. Overall, this is the first study to directly evaluate the capabilities of pathogenicity prediction algorithms for deciphering GoF and LoF variants, and underscores the limitations present in current approaches.

biophysics↗

Parechovirus-3 infection disrupts immunometabolism and leads to glutamate excitotoxicity in neural organoids

Parechovirus ahumpari 3 (HPeV-3), is among the main agents causing severe neonatal neurological infections such as encephalitis and meningitis. However, the underlying molecular mechanisms and changes to the host cellular landscape leading to neurological disease has been understudied. Through quantitative proteomic analysis of HPeV-3 infected neural organoids, we identified unique metabolic changes following HPeV-3 infection that indicate immunometabolic dysregulation. Protein and pathway analyses showed significant alterations in neurotransmission and potentially, neuronal excitotoxicity. Elevated levels of extracellular glutamate, lactate dehydrogenase (LDH), and neurofilament light (NfL) confirmed glutamate excitotoxicity to be a key mechanism contributing to neuronal toxicity in HPeV-3 infection and can lead to apoptosis induced by caspase signaling. These insights are pivotal in delineating the metabolic landscape following severe HPeV-3 CNS infection and may identify potential host targets for therapeutic interventions.

neuroscience↗

A Human Biomimetic Intestinal Mucosa Model to Study Gastrointestinal Development and Disease

The intestinal mucosa plays a vital role in nutrient absorption, drug metabolism, and pathogen defence. Advances in single-cell technologies have highlighted the specialised roles of various cell types that execute these diverse functions. Aside from intestinal epithelial cells, fibroblasts play an essential role in regulating the extracellular matrix and controlling pro- inflammatory signalling, and antigen-presenting cells (macrophages and dendritic cells) maintain intestinal homeostasis and immune responses. The incorporation of such cellular complexity within the existing in vitro models of the human intestine is currently challenging. To address this, we developed a human intestinal model that accurately mimics the mucosal cellular environment comprising intestinal epithelial cells, intestinal fibroblasts, and antigen presenting cells. This model includes co-cultures of adult and foetal cells, facilitating studies on barrier function, inflammation, and viral infections. It replicates extracellular matrix deposition, Paneth cell differentiation, immune interactions, and can be used to model host- pathogen interactions. Our advanced co-culture model improves the physiological relevance of in vitro studies, enabling the exploration of epithelial-mesenchymal-immune crosstalk and its role in intestinal health and disease.

cell biology↗

fmo-4 promotes longevity and stress resistance via ER to mitochondria calcium regulation in C. elegans

Flavin-containing monooxygenases (FMOs) are a conserved family of xenobiotic enzymes upregulated in multiple longevity interventions, including nematode and mouse models. Previous work supports that C. elegans fmo-2 promotes longevity, stress resistance, and healthspan by rewiring endogenous metabolism. However, there are five C. elegans FMOs and five mammalian FMOs, and it is not known whether promoting longevity and health benefits is a conserved role of this gene family. Here, we report that expression of C. elegans fmo-4 promotes lifespan extension and paraquat stress resistance downstream of both dietary restriction and inhibition of mTOR. We find that overexpression of fmo-4 in just the hypodermis is sufficient for these benefits, and that this expression significantly modifies the transcriptome. By analyzing changes in gene expression, we find that genes related to calcium signaling are significantly altered downstream of fmo-4 expression. Highlighting the importance of calcium homeostasis in this pathway, fmo-4 overexpressing animals are sensitive to thapsigargin, an ER stressor that inhibits calcium flux from the cytosol to the ER lumen. This calcium/fmo-4 interaction is solidified by data showing that modulating intracellular calcium with either small molecules or genetics can change expression of fmo-4 and/or interact with fmo-4 to affect lifespan and stress resistance. Further analysis supports a pathway where fmo-4 modulates calcium homeostasis downstream of activating transcription factor-6 (atf-6), whose knockdown induces and requires fmo-4 expression. Together, our data identify fmo-4 as a longevity-promoting gene whose actions interact with known longevity pathways and calcium homeostasis.

genetics↗

Overloading And unpacKing (OAK) - droplet-based combinatorial indexing for ultra-high throughput single-cell multiomic profiling

Multiomic profiling of single cells by sequencing is a powerful technique for investigating cellular diversity in complex biological systems. Although the existing droplet-based microfluidic methods have advanced single-cell sequencing, they produce a plethora of cell-free droplets and underutilize barcoding capacities due to their low cell concentration prerequisites. Meanwhile, combinatorial indexing on microplates can index cells in a more effective way; however, it requires time-consuming and laborious protocols involving multiple splitting and pooling steps. Addressing these constraints, we have developed "Overloading And unpacKing" (OAK). With reduced labor intensity, OAK can provide cost-effective multiomic profiling for hundreds of thousands of cells, offering detection sensitivity on par with commercial droplet-based methods. To demonstrate OAKs versatility, we conducted single-cell RNA sequencing (scRNA-Seq) as well as joint single-nucleus RNA sequencing (snRNA-Seq) and single-nucleus Assay for Transposase Accessible Chromatin with sequencing (snATAC-Seq) using cell lines. We further showcased OAKs performance on more complex samples, including in vitro differentiated bronchial epithelial cells and primary retinal tissues. Finally, we examined transcriptomic responses of 408,000 melanoma cells across around 1,000 starting lineages over a 90-day treatment with a RAF inhibitor, belvarafenib. We discovered a rare cell population (0.12%) that underwent a sequence of transcriptomic changes, resulting in belvarafenib resistance. Ultra-high throughput, broad compatibility with diverse molecular modalities, high detection sensitivity, and simplified experimental procedures distinguish OAK from previous methods, and render OAK a powerful tool for large-scale analysis of molecular signatures, even for rare cells.

molecular biology↗

SHIELD: Skull-shaped hemispheric implants enabling large-scale-electrophysiology datasets in the mouse brain

To understand the neural basis of behavior, it is essential to measure spiking dynamics across many interacting brain regions. While new technologies, such as Neuropixels probes, facilitate multi-regional recordings, significant surgical and procedural hurdles remain for these experiments to achieve their full potential. Here, we describe a novel 3D-printed cranial-replacement implant (SHIELD) enabling electrophysiological recordings from distributed areas of the mouse brain. This skull-shaped implant is designed with customizable insertion holes, allowing dozens of cortical and subcortical structures to be recorded in a single mouse using repeated multi-probe insertions over many days. We demonstrate the procedures high success rate, biocompatibility, lack of adverse effects on behavior, and compatibility with imaging and optogenetics. To showcase the scientific utility of the SHIELD implant, we use multi-probe recordings to reveal novel insights into how alpha rhythms organize spiking activity across visual and sensorimotor networks. Overall, this method enables powerful large-scale electrophysiological measurements for the study of distributed brain computation.

neuroscience↗

Ecological interactions between host, commensal and pathogenic bacteria in models for the intestinal epithelium.

Gut host physiology and the microbiome intricately interact in the complex ecosystem of the human digestive tract, playing a crucial role in maintaining overall health. In recent decades, the role of the gut microbiota in the defence against pathogens and modulating local and distal immunity has been well-established. The interactions between commensal and potential pathogenic bacteria with the intestinal epithelium can initiate immune responses in the epithelial cells, which, in turn, activate downstream immune responses in other immune cells. These intricate processes involved, especially when multiple microorganisms are present as seen in the intestinal microbiome, remain only partially understood. Previously, it was observed that in adults aged 60 years or older, the commensal Ruminococcus torques (Rt) and Escherichia coli were associated with influenza-like illness and a heightened pro-inflammatory immune profile. In this study, we used a CaCo-2 cell-based model and a human intestinal enteroid (HIE) model to explore epithelial responses to Rt and an adherent invasive E. coli (AIEC) both individually and in co-cultures under anaerobic conditions. Additionally, CaCo-2 cells were co-cultured with peripheral blood mononuclear cells, revealing downstream activation of immune cells. While both systems showed comparable cytokine profiles, they differed in their responses to the different bacteria, with the organoid system being more representative for intestinal epithelial cells in humans. We provide mechanistic evidence of the pro-inflammatory responses associated with these bacteria in the intestinal ecosystem. These models, particularly in the context of combined infections, represent a valuable and promising avenue for future research. They contribute to a deeper understanding of the complex interactions between the gut microbiota, epithelial intestinal cells and immune cells in the gut ecosystem, thereby promoting advances in the field of gut health and host response.

microbiology↗

Assessment of The Broad-Spectrum Host Targeting Antiviral Efficacy of Halofuginone Hydrobromide in Human Airway, Intestinal and Brain Organoid Models.

Halofuginone hydrobromide has shown potent antiviral efficacy against a variety of viruses such as SARS-CoV-2, dengue, or chikungunya virus, and has, therefore, been hypothesized to have broad-spectrum antiviral activity. In this paper, we tested this broad-spectrum antiviral activity of Halofuginone hydrobomide against viruses from different families (Picornaviridae, Herpesviridae, Orthomyxoviridae, Coronaviridae, and Flaviviridae). To this end, we used relevant human models of the airway and intestinal epithelium and regionalised neural organoids. Halofuginone hydrobomide showed antiviral activity against SARS-CoV-2 in the airway epithelium with no toxicity at equivalent concentrations used in human clinical trials but not against any of the other tested viruses. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=199 HEIGHT=200 SRC="FIGDIR/small/565121v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@10d562eorg.highwire.dtl.DTLVardef@94f903org.highwire.dtl.DTLVardef@683b6forg.highwire.dtl.DTLVardef@11620ba_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIHalofuginone hydrobromide was identified as a possible broad-spectrum host targeting antiviral drug. C_LIO_LIHuman organoid models offer a physiologically relevant and clinically translatable model for antiviral research. C_LIO_LIHalofuginone hydrobromide shows antiviral efficacy against SARS-CoV-2, but not against EV-A71, PeV-A1, IAV, RV-A16, HCMV or ZIKV in relevant organoid models. C_LIO_LIThe efficacy of Halofuginone hydrobromide is concentration dependent as well as on proline content of the host receptor(s) or host factors for the specific virus in question. C_LI

microbiology↗

Single-cell sequencing of individual retinal organoids reveals determinants of cell fate heterogeneity

With a critical need for more complete in vitro models of human development and disease, organoids hold immense potential. Their complex cellular composition makes single-cell sequencing of great utility; however, the limitation of current technologies to a handful of treatment conditions restricts their use in screens or studies of organoid heterogeneity. Here, we apply sci-Plex, a single-cell combinatorial indexing (sci)-based RNA-seq multiplexing method to retinal organoids. We demonstrate that sci-Plex and 10x methods produce highly concordant cell class compositions and then expand sci-Plex to analyze the cell class composition of 410 organoids upon modulation of critical developmental pathways. Leveraging individual organoid data, we develop a method to measure organoid heterogeneity, and we identify that activation of Wnt signaling early in retinal organoid cultures increases retinal cell classes up to six weeks later. Our data show sci-Plexs potential to dramatically scale-up the analysis of treatment conditions on relevant human models.

genomics↗

Myosin Light Chain Dephosphorylation by PPP1R12C Promotes Atrial Hypocontractility in Atrial Fibrillation

BackgroundAtrial fibrillation (AF), the most common sustained cardiac arrhythmia, increases thromboembolic stroke risk five-fold. Although atrial hypocontractility contributes to stroke risk in AF, the molecular mechanisms reducing myofilament contractile function remain unknown. We tested the hypothesis that increased expression of PPP1R12C, the PP1 regulatory subunit targeting atrial myosin light chain 2 (MLC2a), causes hypophosphorylation of MLC2a and results in atrial hypocontractility. MethodsRight atrial appendage tissues were isolated from human AF patients versus sinus rhythm (SR) controls. Western blots, co-immunoprecipitation, and phosphorylation studies were performed to examine how the PP1c-PPP1R12C interaction causes MLC2a de-phosphorylation. In vitro studies of pharmacologic MRCK inhibitor (BDP5290) in atrial HL-1 cells were performed to evaluate PP1 holoenzyme activity on MLC2a. Cardiac-specific lentiviral PPP1R12C overexpression was performed in mice to evaluate atrial remodeling with atrial cell shortening assays, echocardiography, and AF inducibility with EP studies. ResultsIn human patients with AF, PPP1R12C expression was increased two-fold versus SR controls (P=2.0x10-2, n=12,12 in each group) with > 40% reduction in MLC2a phosphorylation (P=1.4x10-6, n=12,12 in each group). PPP1R12C-PP1c binding and PPP1R12C-MLC2a binding were significantly increased in AF (P=2.9x10-2 and 6.7x10-3 respectively, n=8,8 in each group). In vitro studies utilizing drug BDP5290, which inhibits T560-PPP1R12C phosphorylation, demonstrated increased PPP1R12C binding with both PP1c and MLC2a, and dephosphorylation of MLC2a. Lenti-12C mice demonstrated a 150% increase in LA size versus controls (P=5.0x10-6, n=12,8,12), with reduced atrial strain and atrial ejection fraction. Pacing-induced AF in Lenti-12C mice was significantly higher than controls (P=1.8x10-2 and 4.1x10-2 respectively, n= 6,6,5). ConclusionsAF patients exhibit increased levels of PPP1R12C protein compared to controls. PPP1R12C overexpression in mice increases PP1c targeting to MLC2a and causes MLC2a dephosphorylation, which reduces atrial contractility and increases AF inducibility. These findings suggest that PP1 regulation of sarcomere function at MLC2a is a key determinant of atrial contractility in AF.

molecular biology↗

Defining the Parameters to Improve Plant Regeneration with Developmental Regulators

Tissue culture methods which serve as the standard to regenerate modified plants are challenging and have limited the capacity to engineer new accessions. To improve upon these techniques, genome modifying reagents have been combined with developmental regulators to create gene edited plant tissues in both monocot and eudicot species. Co-culturing seedlings with Agrobacterium strains encoding developmental regulatory genes has proved to be effective at producing de novo meristems in multiple eudicot species. In order to see that this technology scales well beyond proof of concept experiments, various parameters were tested for refinement. Improvements have been observed at the key stages of growth induction and progression to shooting by manipulating the vector design, developmental regulator choice, Agrobacterium strain selection, and regulatory gene removal systems. Having defined these parameters as viable optimization points, the avenues to apply developmental regulators for plant regeneration in more diverse species have become more feasible.

plant biology↗

Markov State Modelling Reveals Heterogeneous Drug-Inhibition Mechanism of Calmodulin

Calmodulin (CaM) is a calcium sensor which binds and regulates a wide range of target-proteins. This implicitly enables the concentration of calcium to influence many downstream physiological responses, including muscle contraction, learning and depression. The antipsychotic drug trifluoperazine (TFP) is a known CaM inhibitor. By binding to various sites, TFP prevents CaM from associating to target-proteins. However, the molecular and state-dependent mechanisms behind CaM inhibition by drugs such as TFP are largely unknown. Here, we build a Markov state model (MSM) from adaptively sampled molecular dynamics simulations and reveal the structural and dynamical features behind the inhibitory mechanism of TFP-binding to the C-terminal domain of CaM. We specifically identify three major TFP binding-modes from the MSM macrostates, and distinguish their effect on CaM conformation by using a systematic analysis protocol based on biophysical descriptors and tools from machine learning. The results show that depending on the binding orientation, TFP effectively stabilizes features of the calcium-unbound CaM, either affecting the CaM hydrophobic binding pocket, the calcium binding sites or the secondary structure content in the bound domain. The conclusions drawn from this work may in the future serve to formulate a complete model of pharmacological modulation of CaM, which furthers our understanding of how these drugs affect signaling pathways as well as associated diseases. Author summaryCalmodulin (CaM) is a calcium-sensing protein which makes other proteins dependent on the surrounding calcium concentration by binding to these proteins. Such protein-protein interactions with CaM are vital for calcium to control many physiological pathways within the cell. The antipsychotic drug trifluoperazine (TFP) inhibits CaMs ability to bind and regulate other proteins. Here, we use molecular dynamics simulations together with Markov state modeling and machine learning to understand the structural and dynamical features by which TFP bound to the one domain of CaM prevents association to other proteins. We find that TFP encourages CaM to adopt a conformation that is like the one stabilized in absence of calcium: depending on the binding orientation of TFP, the drug indeed either affects the CaM hydrophobic binding pocket, the calcium binding sites or the secondary structure content in the domain. Understanding TFP binding is a first step towards designing better drugs targeting CaM.

biophysics↗