Biology subjects

Singh, A.

Publications and source records attributed to Singh, A..

At least 361 records · Page 20Linked to original sources

bioRxiv2023

Mechanotransduction governs CD40 function and underlies X-linked Hyper IgM syndrome

B cell maturation in germinal centers (GCs) depends on cognate interactions between the T and B cells. Upon interaction with CD40 ligand (CD40L) on T cells, CD40 delivers co-stimulatory signals alongside B cell antigen receptor (BCR) signaling to regulate affinity maturation and antibody class-switch during GC reaction. Mutations in CD40L disrupt interactions with CD40, which lead to abnormal antibody responses in immune deficiencies known as X-linked Hyper IgM syndrome (X-HIgM). Assuming that physical interactions between highly mobile T and B cells generate mechanical forces on CD40-CD40L bonds, we set out to study the B cell mechanobiology mediated by CD40-CD40L interaction. Using a suite of biophysical assays we find that CD40 forms catch bond with CD40L where the bond lasts longer at larger forces, B cells exert tension on CD40-CD40L bonds, and force enhances CD40 signaling and antibody class-switch. Significantly, X-HIgM CD40L mutations impair catch bond formation, suppress endogenous tension, and reduce force-enhanced CD40 signaling, leading to deficiencies in antibody class switch. Our findings highlight the critical role of mechanotransduction in CD40 function and provide insights into the molecular mechanisms underlying X-HIgM syndrome.

immunology↗

bioRxiv2023

Entanglement of AGE-RAGE axis in cardiac pathosis

Cardiovascular diseases are the major cause of death globally. Acute coronary syndrome is one of numerous cardiovascular illnesses, including advanced glycation end products (AGEs), which play an instrumental part in their development and progression. A substance with multiple pleiotropic characteristics is rosuvastatin. This study examined the cardioprotective effects of rosuvastatin in isoproterenol-induced myocardial injury, as well as the alterations in advanced glycation end products and their roles in cardiac damage. Rosuvastatin (10 mg/kg, orally) was given to male rats daily for 4 weeks, and on the 29th and 30th days, isoproterenol (85 mg/kg, subcutaneously) was administered to cause cardiac damage. Rats were euthanised on the 31st day, and various samples were collected for examination. Administration of isoproterenol increased cardiac mass, levels of cardiac damage markers, lipid oxidation, and collagen content in the heart. Additionally, it reduced the activities of SOD, CAT, GST, GR, and all other antioxidants. Additionally, isoproterenol raises levels of inflammatory markers including TNF- and IL-6. It has been observed that advanced glycation end products rise along with heart injury. The AGE-RAGE cascade also messes with the injured hearts echocardiogram. Additionally, histopathological alterations were noticed. According to the study, rosuvastatin has cardioprotective effects on the experimental model, which were supported by an array of physical, biochemical, and histological characteristics. SummaryThis study examined the cardioprotective effects of rosuvastatin in isoproterenol-induced myocardial injury, as well as the alterations in advanced glycation end products and their roles in cardiac damage. According to the study, rosuvastatin has cardioprotective effects on the experimental model, which were supported by a number of physiological, biochemical, and histological characteristics. By showing how the functional AGE/RAGE axis is inhibited following rosuvastatin medication, this work provides an etiologic theory involving rosuvastatin therapy in heart injury. These findings may also have practical significance since they highlight the intriguing possibility that rosuvastatin-induced modulation of AGE-RAGE signalling may represent a unique therapeutic approach for the prevention and treatment of other cardiovascular diseases.

pharmacology and toxicology↗

bioRxiv2023

Mammalian cells-based platforms for the generation of SARS-CoV-2 virus-like particles

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of COVID-19. Though many COVID-19 vaccines have been developed, most of them are delivered via intramuscular injection and thus confer relatively weak mucosal immunity against the natural infection. Virus-Like Particles (VLPs) are self-assembled nanostructures composed of key viral structural proteins, that mimic the wild-type virus structure but are non-infectious and non-replicating due to the lack of viral genetic material. In this study, we efficiently generated SARS-CoV-2 VLPs by co-expressing the four SARS-CoV-2 structural proteins, specifically the membrane (M), small envelope (E), spike (S) and nucleocapsid (N) proteins. We show that these proteins are essential and sufficient for the efficient formation and release of SARS-CoV-2 VLPs. Moreover, we used lentiviral vectors to generate human cell lines that stably produce VLPs. Because VLPs can bind to the virus natural receptors, hence leading to entry into cells and viral antigen presentation, this platform could be used to develop novel vaccine candidates that are delivered intranasally. HighlightsO_LIIdentification of protein requirements for SARS-CoV-2 VLP production by transient transfection C_LIO_LILentiviral transduction to create cells stably producing SARS-CoV-2 VLPs C_LIO_LIIsolation of cell clones for the production of SARS-CoV-2 VLPs C_LIO_LINew putative platforms for vaccine development C_LI

microbiology↗

bioRxiv2023

Limits of parasitoid-mediated host population density suppression: Implications for biological control

Parasitoid wasps are increasingly being used to control insect pest populations, where the pest is the host species parasitized by the wasp. Here we use the discrete-time formalism of the Nicholson-Bailey model to investigate a fundamental question - are there limits to parasitoid-driven suppression of the host population density while still ensuring a stable coexistence of both species? Our model formulation imposes an intrinsic self-limitation in the hosts growth resulting in a carrying capacity in the absence of the parasitoid. Different versions of the model are considered with parasitism occurring at a developmental stage that is before, during, or after the growth-limiting stage. For example, the hosts growth limitation may occur at its larval stage due to intraspecific competition, while the wasps attack either the host egg, larval or pupal stage. For slow-growing hosts, models with parasitism occurring at different life stages are identical in terms of their host suppression dynamics but have contrasting differences for fast-growing hosts. In the latter case, our analysis reveals that wasp parasitism occurring after host growth limitation yields the lowest pest population density conditioned on stable host-parasitoid coexistence. For ecologically relevant parameter regimes we estimate this host suppression to be roughly 10-20% of the parasitoid-free carrying capacity. We further expand the models to consider a fraction of hosts protected from parasitism (i.e., a host refuge). Our results show that for a given host reproduction rate there exists a critical value of protected host fraction beyond which, the system dynamics are stable even for high levels of parasitism that drive the host to arbitrary low population densities. In summary, our systematic analysis sheds key insights into the combined effects of density-dependence in host growth and parasitism refuge in stabilizing the host-parasitoid population dynamics with important implications for biological control.

ecology↗

bioRxiv2023

Cardiomyocyte-specific adenylyl cyclase type-8 overexpression induces cell-autonomous activation of RelA and non-cell-autonomous myocardial and systemic inflammation

BackgroundMice with cardiac-specific overexpression of adenylyl cyclase (AC) type 8 (TGAC8) are under a constant state of severe myocardial stress. They have a remarkable ability to adapt to this stress, but they eventually develop accelerated cardiac aging and experience reduced longevity. ResultsHere we demonstrate that activation of ACVIII in cardiomyocytes results in cell-autonomous RelA-mediated NF-{kappa}B signaling. This is associated with non-cell-autonomous activation of proinflammatory and age-associated signaling in myocardial endothelial cells and myocardial smooth muscle cells, expansion of myocardial immune cells, increase in serum levels of inflammatory cytokines, and changes in the size or composition of lymphoid organs. These changes precede the appearance of cardiac fibrosis. We provide evidence indicating that ACVIII-driven RelA activation in cardiomyocytes is mediated by calcium-Protein Kinase A (PKA) signaling. ConclusionsUsing a model of chronic cardiomyocyte stress and accelerated aging we highlight a novel, PKA/RelA-dependent connection between cardiomyocyte stress, myocardial para-inflammation and systemic inflammation. These findings point to RelA-mediated signaling in cardiomyocytes and inter-organ communication between the heart and lymphoid organs as novel potential therapeutic targets to reduce age-associated myocardial deterioration.

cell biology↗

bioRxiv2023

Blood pressure lowering enhances cerebrospinal fluid efflux primarily via the lymphatic vasculature

BackgroundInside the incompressible cranium, the volume of cerebrospinal fluid (CSF) is directly linked to blood volume: a change in either will induce a compensatory change in the other. Vasodilatory lowering of blood pressure has been shown to result in an increase of intracranial pressure, which, in normal circumstances should return to equilibrium by increased fluid efflux. In this study, we investigated the effect of blood pressure lowering (BPL) on fluorescent CSF tracer absorption into the systemic blood circulation. MethodsBPL was performed by an i.v. administration of nitric oxide donor sodium nitroprusside (5 {micro}g kg-1 min-1) or the Ca2+-channel blocker nicardipine hydrochloride (0.5 {micro}g kg-1 min-1) for 10 and 15 to 40 mins, respectively. The effect of BPL on CSF clearance was investigated by measuring the efflux of fluorescent tracers (40 kDa FITC-dextran, 45 kDa Texas Red-conjugated ovalbumin) into blood and deep cervical lymph nodes. ResultsNicardipine and sodium nitroprusside reduced blood pressure by 32.0 {+/-} 19.6% and 22.0 {+/-} 2.5%, while temporarily elevating in intracranial pressure by 14.0 {+/-} 6.0% and 11.6 {+/-} 2.0%, respectively. BPL significantly increased tracer accumulation into deep cervical lymph nodes and systemic circulation, but reduced perivascular inflow along penetrating arteries in the brain. The enhanced tracer efflux by BPL into the systemic circulation was markedly reduced (-66.7%) by ligation of lymphatic vessels draining into deep cervical lymph nodes. ConclusionsThis is the first study showing that CSF clearance can be improved with acute hypotensive treatment and that the effect of the treatment is reduced by ligation of a lymphatic drainage pathway. Enhanced CSF clearance by BPL may have therapeutic potential in diseases with dysregulated CSF flow.

neuroscience↗

bioRxiv2023

In-Silico analysis of Human Insulin Gene for Mirror repeat sequences

The genetic material contains all the instructions necessary for the development, functioning & regulation of biological processes. This is also considering as a regulatory molecule. The structure constitute by its unique pattern of bases make it unique for every living being consider from bacteria to human. The varied pattern of bases in genomes or genes represents different types of repeats. These repeats types constitute the major fraction of the genomes. Among varied types Mirror repeats (MRs) play crucial roles in the genome especially in formation of H-DNA structure by Non Watson pairing. Some studies suggest that mirror sequences responsible for neurological diseases also. Now days in modern era of technology in silico techniques were develop to extract any type of repeat sequences from any gene or genome. The major focus of current work is on identification of mirror repeats (MRs) from human insulin gene sequence using an in silico approach. The approach is refer to as FPCB (FASTA Parallel Complement Analysis) were utilized to extract MR sequences. From the current study a total no of 210 MR sequenced were identified in Human insulin gene. The identified repeats vary in their length and majority of them are imperfect in nature. The maximum no of MR were reported in the region 3 & minimum is in the region 8 (8). In the remaining regions the no of MR sequences were lies in between maximum & minimum values. These sequences may be helpful in many molecular level studies.

bioinformatics↗

bioRxiv2023

Diffusiophoresis promotes phase separation and transport of biomolecular condensates

The internal microenvironment of a living cell is heterogeneous and comprises a multitude of organelles with distinct biochemistry. Amongst them are biomolecular condensates, which are membrane-less, phase-separated compartments enriched in system-specific proteins and nucleic acids. The heterogeneity of the cell engenders the presence of multiple spatiotemporal gradients in chemistry, charge, concentration, temperature, and pressure. Such thermodynamic gradients can lead to non-equilibrium driving forces for the formation and transport of biomolecular condensates. Here, we report how ion gradients impact the transport processes of biomolecular condensates on the mesoscale and biomolecules on the microscale. Utilizing a microfluidic platform, we demonstrate that the presence of ion concentration gradients can accelerate the transport of biomolecules, including nucleic acids and proteins, via diffusiophoresis. This hydrodynamic transport process allows localized enrichment of biomolecules, thereby promoting the location-specific formation of biomolecular condensates via phase separation. The ion gradients further impart active motility of condensates, allowing them to exhibit enhanced diffusion along the gradient. Coupled with a reentrant phase behavior, the gradient-induced active motility leads to a dynamical redistribution of condensates that ultimately extends their lifetime. Together, our results demonstrate diffusiophoresis as a non-equilibrium thermodynamic force that governs the formation and transport of biomolecular condensates.

biophysics↗

bioRxiv2023

Deep speech-to-text models capture the neural basis of spontaneous speech in everyday conversations

Humans effortlessly use the continuous acoustics of speech to communicate rich linguistic meaning during everyday conversations. In this study, we leverage 100 hours (half a million words) of spontaneous open-ended conversations and concurrent high-quality neural activity recorded using electrocorticography (ECoG) to decipher the neural basis of real-world speech production and comprehension. Employing a deep multimodal speech-to-text model named Whisper, we develop encoding models capable of accurately predicting neural responses to both acoustic and semantic aspects of speech. Our encoding models achieved high accuracy in predicting neural responses in hundreds of thousands of words across many hours of left-out recordings. We uncover a distributed cortical hierarchy for speech and language processing, with sensory and motor regions encoding acoustic features of speech and higher-level language areas encoding syntactic and semantic information. Many electrodes--including those in both perceptual and motor areas--display mixed selectivity for both speech and linguistic features. Notably, our encoding model reveals a temporal progression from language-to-speech encoding before word onset during speech production and from speech-to-language encoding following word articulation during speech comprehension. This study offers a comprehensive account of the unfolding neural responses during fully natural, unbounded daily conversations. By leveraging a multimodal deep speech recognition model, we highlight the power of deep learning for unraveling the neural mechanisms of language processing in real-world contexts.

neuroscience↗

bioRxiv2023

Unraveling antiviral efficacy of multifunctional immunomodulatory triterpenoids against SARS-COV-2 targeting virus-specific enzymes

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may be over, but its variants continue to emerge, and patients with mild symptoms having long COVID is still under investigation. SARS-CoV-2 infection leading to elevated cytokine levels and suppressed immune responses set off cytokine storm, fatal systemic inflammation, tissue damage, and multi-organ failure. Thus, drug molecules targeting the SARS-CoV-2 virus-specific proteins or capable of suppressing the host inflammatory responses to viral infection would provide an effective antiviral therapy against emerging variants of concern. Evolutionarily conserved papain-like protease (PLpro) and main protease (Mpro) play an indispensable role in the virus life cycle and immune evasion. Direct-acting antivirals targeting both these viral proteases represent an attractive antiviral strategy that is also expected to reduce viral inflammation. The present study has evaluated the antiviral and anti-inflammatory potential of natural triterpenoids: azadirachtin, withanolide_A, and isoginkgetin. These molecules inhibit the Mpro and PLpro proteolytic activities with half-maximal inhibitory concentrations (IC50) values ranging from 1.42 to 32.7 {micro}M. Isothermal titration calorimetry (ITC) analysis validated the binding of these compounds to Mpro and PLpro. As expected, the two compounds, withanolide_A and azadirachtin, exhibit potent anti-SARS-CoV-2 activity in cell-based assays, with half- maximum effective concentration (EC50) values of 21.73 {micro}M and 31.19 {micro}M, respectively. The anti-inflammatory role of azadirachtin and withanolide_A when assessed using HEK293T cells were found to significantly reduce the levels of CXCL10, TNF, IL6, and IL8 cytokines, which are elevated in severe cases of COVID-19. Interestingly, azadirachtin and withanolide_A were also found to rescue the decreased type-I interferon response (IFN-1). The results of this study clearly highlight the role of triterpenoids as effective antiviral molecules that target SARS-CoV-2 specific enzymes and also host immune pathways involved in virus mediated inflammation.

molecular biology↗

bioRxiv2023

Astrocyte Ca2+ signalling mediates long-distance metaplasticity in the hippocampal CA1

Astrocytes play an increasingly recognised role in regulating synaptic plasticity, but their contribution to metaplasticity is poorly understood. We have previously described a long-distance form of metaplasticity whereby priming stimulation in stratum oriens inhibits subsequent LTP in the neighbouring stratum radiatum of the hippocampal CA1 region of both rats and mice. Using genetic and pharmacological strategies to manipulate astrocytic Ca2+ signalling, we now show this form of metaplasticity requires inositol triphosphate receptor-dependent Ca2+ release in these cells. Blocking Ca2+signalling or inositol triphosphate receptors in single radiatum astrocytes abolishes the metaplasticity at nearby synapses. We also show the relevant Ca2+release in astrocytes is driven by adenosine A2B receptors, and stimulation of these receptors elicits the metaplasticity effect both in vitro and in vivo. Further, the metaplasticity requires signalling via tumor necrosis factor, but this cytokine is required to act on astrocytes, not neurons. Instead, glutamate, acting on GluN2B-containing NMDA receptors, is the likely gliotransmitter that signals to neurons to inhibit LTP. Together these data reveal a novel role for astrocytes in hippocampal LTP regulation across broader spatiotemporal scales than previously recognised. Main pointsO_LIIn hippocampal CA1, "priming" activity inhibits subsequent LTP at synapses hundreds of microns away. C_LIO_LIThis effect requires astrocytic Ca2+signaling, and a molecular cascade involving adenosine A2B receptors, tumor necrosis factor and GluN2B-containing NMDA receptors. C_LIO_LIThe metaplasticity effect is evident in vitro and in vivo. C_LIO_LILong-distance astrocyte signaling is a mechanism for regulating neural activity over broad spatiotemporal scales. C_LI

neuroscience↗

bioRxiv2023

The landscape of drug sensitivity and resistance in sarcoma

Sarcomas are a family of rare malignancies composed of over 100 distinct histological subtypes. The rarity of sarcoma poses significant challenges in conducting clinical trials to identify effective therapies, to the point that many rarer subtypes of sarcoma do not have standard-of-care treatment. Even for established regimens, there can be substantial heterogeneity in responses. Overall, novel, personalized approaches for identifying effective treatments are needed to improve patient out-comes. Patient-derived tumor organoids (PDTOs) are clinically relevant models representative of the physiological behavior of tumors across an array of malignancies. Here, we use PDTOs as a tool to better understand the biology of individual tumors and characterize the landscape of drug resistance and sensitivity in sarcoma. We collected n=194 specimens from n=126 sarcoma patients, spanning 24 distinct subtypes. We characterized PDTOs established from over 120 biopsy, resection, and metastasectomy samples. We leveraged our organoid high-throughput drug screening pipeline to test the efficacy of chemotherapeutics, targeted agents, and combination therapies, with results available within a week from tissue collection. Sarcoma PDTOs showed patient-specific growth characteristics and subtype-specific histopathology. Organoid sensitivity correlated with diagnostic subtype, patient age at diagnosis, lesion type, prior treatment history, and disease trajectory for a subset of the compounds screened. We found 90 biological pathways that were implicated in response to treatment of bone and soft tissue sarcoma organoids. By comparing functional responses of organoids and genetic features of the tumors, we show how PDTO drug screening can provide an orthogonal set of information to facilitate optimal drug selection, avoid ineffective therapies, and mirror patient outcomes in sarcoma. In aggregate, we were able to identify at least one effective FDA-approved or NCCN-recommended regimen for 59% of the specimens tested, providing an estimate of the proportion of immediately actionable information identified through our pipeline. HighlightsO_LIStandardized organoid culture preserve unique sarcoma histopathological features C_LIO_LIDrug screening on patient-derived sarcoma organoids provides sensitivity information that correlates with clinical features and yields actionable information for treatment guidance C_LIO_LIHigh-throughput screenings provide orthogonal information to genetic sequencing C_LIO_LISarcoma organoid response to treatment correlates with patient response to therapy C_LIO_LILarge scale, functional precision medicine programs for rare cancers are feasible within a single institution C_LI

cancer biology↗

bioRxiv2023

A single cell transcriptomic fingerprint of stressed premature, imbalanced differentiation of embryonic stem cells.

Cultured naive pluripotent ESC differentiate into first lineage, XEN or second lineage, formative pluripotency. Hyperosmotic stress (sorbitol), like retinoic acid, decreases naive pluripotency and increases XEN in two ESC lines, as reported by bulk and scRNAseq, analyzed by UMAP. Sorbitol overrides pluripotency in two ESC lines as reported by bulk and scRNAseq, analyzed by UMAP. UMAP analyzed the effects of 5 stimuli - three stressed (200-300mM sorbitol with leukemia inhibitory factor +LIF) and two unstressed (+LIF, normal stemness-NS and -LIF, normal differentiation-ND). Sorbitol and RA decrease naive pluripotency and increase subpopulations of 2-cell embryo-like and XEN sub-lineages; primitive, parietal, and visceral endoderm (VE). Between the naive pluripotency and primitive endoderm clusters is a stress-induced cluster with transient intermediate cells with higher LIF receptor signaling, with increased Stat3, Klf4, and Tbx3 expression. Sorbitol, like RA, also suppresses formative pluripotency, increasing lineage imbalance. Although bulk RNAseq and gene ontology group analyses suggest that stress induces head organizer and placental markers, scRNAseq reveals few cells. But VE and placental markers/cells were in adjacent clusters, like recent reports. UMAPs show that dose-dependent stress overrides stemness to force premature lineage imbalance. Hyperosmotic stress induces lineage imbalance, and other toxicological stresses, like drugs with RA, may cause lineage imbalance, resulting in miscarriages or birth defects.

developmental biology↗

bioRxiv2023

Mixed-Feedback Architectures for Precise Event Timing Through Stochastic Accumulation of Biomolecules

The timing of biochemical events is often determined by the accumulation of a protein or chemical species to a critical threshold level. In a stochastic model, we define event timing as the first-passage time for the level to cross the threshold from zero or random initial conditions. This first-passage time can be modulated by implementing feedback in synthesis, that is, making the production rate an arbitrary function of the current species level. We aim to find the optimal feedback strategy that reduces the timing noise around a given mean first-passage time. Previous results have shown that while a no-feedback strategy (i.e., an independent constant production rate) is optimal in the absence of degradation and zero-molecules initial condition, a negative feedback is optimal when the process starts at random initial conditions. We show that when the species can be degraded and the synthesis rates are set to depend linearly on the number of molecules, a positive feedback strategy (the production rate increases with the level of the molecule) minimizes timing noise. However, if no constraints on the feedback are imposed, the optimal strategy involves a mixed feedback approach, which consists of an initial positive feedback followed by a sharp negative feedback (the production rate decreases with the level) near the threshold. Finally, we quantify the fundamental limits of timing noise reduction with and without feedback control when time-keeping species are subject to degradation.

systems biology↗

bioRxiv2023

Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in Triple Negative Breast Cancer

Breast cancers exhibit substantial transcriptional heterogeneity, posing a significant challenge to the prediction of treatment response and prognostication of outcomes. Especially, translation of TNBC subtypes to the clinic remains a work in progress, in part because of a lack of clear transcriptional signatures distinguishing the subtypes. Our recent network-based approach, PathExt, demonstrates that global transcriptional changes in a disease context are likely mediated by a small number of key genes, and these mediators may better reflect functional or translationally relevant heterogeneity. We apply PathExt to 1059 BRCA tumors and 112 healthy control samples across 4 subtypes to identify frequent, key-mediator genes in each BRCA subtype. Compared to conventional differential expression analysis, PathExt-identified genes (1) exhibit greater concordance across tumors, revealing shared as well as BRCA subtype-specific biological processes, (2) better recapitulate BRCA-associated genes in multiple benchmarks, and (3) exhibit greater dependency scores in BRCA subtype-specific cancer cell lines. Single cell transcriptomes of BRCA subtype tumors reveal a subtype-specific distribution of PathExt-identified genes in multiple cell types from the tumor microenvironment. Application of PathExt to a TNBC chemotherapy response dataset identified TNBC subtype-specific key genes and biological processes associated with resistance. We described putative drugs that target top novel genes potentially mediating drug resistance. Overall, PathExt applied to breast cancer refines previous views of gene expression heterogeneity and identifies potential mediators of TNBC subtypes, including potential therapeutic targets.

bioinformatics↗

bioRxiv2023

N4-acetylcytidine (ac4C) promotes mRNA localization to stress granules

Stress granules are an integral part of the stress response that are formed from non-translating mRNAs aggregated with proteins. While much is known about stress granules, the factors that drive their mRNA localization are incompletely described. Modification of mRNA can alter the properties of the nucleobases and affect processes as translation, splicing and localization of individual transcript. Here, we show that the RNA modification N4-acetylcytidine (ac4C) on mRNA associates with transcripts enriched in stress granules and that stress granule localized transcripts with ac4C are particularly translationally regulated. In addition, we show that ac4C on mRNA can mediate co-localization of the protein NOP58 to stress granules. Our results show that acetylation of mRNA regulates localization of both stress-sensitive transcripts and RNA-binding proteins to stress granules and adds to our understanding of the molecular mechanisms responsible for stress granule formation.

molecular biology↗

bioRxiv2023

Iron Memory in E. coli

The importance of memory in bacterial decision-making is relatively unexplored. We show here that a prior experience of swarming is remembered when E. coli encounters a new surface, improving its future swarming efficiency. We conducted >10,000 single-cell swarm assays to discover that cells store memory in the form of cellular iron levels. This memory pre-exists in planktonic cells, but the act of swarming reinforces it. A cell with low iron initiates swarming early and is a better swarmer, while the opposite is true for a cell with high iron. The swarming potential of a mother cell, whether low or high, is passed down to its fourth-generation daughter cells. This memory is naturally lost by the seventh generation, but artificially manipulating iron levels allows it to persist much longer. A mathematical model with a time-delay component faithfully recreates the observed dynamic interconversions between different swarming potentials. We also demonstrate that iron memory can integrate multiple stimuli, impacting other bacterial behaviors such as biofilm formation and antibiotic tolerance.

microbiology↗

bioRxiv2023

Benchmarking Gene Regulatory Network Inference Methods on Simulated and Experimental Data

Although the challenge of gene regulatory network inference has been studied for more than a decade, it is still unclear how well network inference methods work when applied to real data. Attempts to benchmark these methods on experimental data have yielded mixed results, in which sometimes even the best methods fail to outperform random guessing, and in other cases they perform reasonably well. So, one of the most valuable contributions one can currently make to the field of network inference is to benchmark methods on experimental data for which the true underlying network is already known, and report the results so that we can get a clearer picture of their efficacy. In this paper, we report results from the first, to our knowledge, benchmarking of network inference methods on single cell E. coli transcriptomic data. We report a moderate level of accuracy for the methods, better than random chance but still far from perfect. We also find that some methods that were quite strong and accurate on microarray and bulk RNA-seq data did not perform as well on the single cell data. Additionally, we benchmark a simple network inference method (Pearson correlation), on data generated through computer simulations in order to draw conclusions about general best practices in network inference studies. We predict that network inference would be more accurate using proteomic data rather than transcriptomic data, which could become relevant if highthroughput proteomic experimental methods are developed in the future. We also show through simulations that using a simplified model of gene expression that skips the mRNA step tends to substantially overestimate the accuracy of network inference methods, and advise against using this model for future in silico benchmarking studies.

systems biology↗