Biology subjects

Cira, N. J.

Publications and source records attributed to Cira, N. J..

9 recordsLinked to original sources

bioRxiv2026

A traveling network model predicts emergent dynamics and search behavior from local remodeling in Physarum polycephalum

A variety of connected systems, ranging from the cytoskeleton to human organizations, dynamically rearrange themselves in order to move through physical or abstract space. However, our understanding of how systems-level behaviors arise from local restructuring actions remains limited, necessitating comparison of real-world data to models that predict network structure and dynamics. To understand these systems, we study an accessible example, the branching slime mold Physarum polycephalum, by imaging the organism as it travels and extracting key fundamental quantities from its continuously remodeling tubular network. By using these quantities as input parameters to a traveling network model, we find that with no further fitting, the model quantitatively matches key emergent properties from P. polycephalum dynamics including path length, relocation time, and search efficiency at different spatial resolutions. These findings demonstrate how a traveling network model can capture P. polycephalum behaviors, highlighting the potential to use traveling networks more broadly for understanding and predicting connected dynamic systems by linking local measurements to emergent, system-wide behaviors.

biophysics↗

bioRxiv2026

A digital droplet microarray for measuring tolerance to antibiotics

Antibiotic tolerance enables populations of microbes to survive normally lethal antibiotic concentrations, increasing the likelihood of reinfection and facilitating the evolution of resistance. Tolerance measurements typically involve quantifying viable cells after antibiotic exposure. Existing methods range from accessible but low-throughput approaches, such as plate counting, to higher-throughput but semi-quantitative techniques, such as the TDtest. Here, we develop a new system for rapid, precise and high-throughput tolerance measurements. We utilize Surface Patterned Omniphobic Tiles (SPOTs) to discretize cell suspensions into nano-to microliter droplets and estimate the viable cell concentrations following antibiotic exposure from the proportion of empty droplets using Poissonian statistics. We apply the platform to monitor Klebsiella pneumoniae tolerance to meropenem over time as a proof of concept. The resulting assay is accessible, compatible with multiple media, and boasts a large dynamic range, sufficient resolution, and rapid handling.

microbiology↗

bioRxiv2026

Precise loading of scarce reagents on droplet microarrays

Many experiments rely on expensive or scarce liquids, such as costly reagents, or biological samples available only in limited quantities. Droplet microarrays are an especially promising approach to conserving these materials because they support highly parallelized reactions in small volumes. However, existing droplet microarray loading methods based on discontinuous dewetting suffer from loading inconsistencies and large dead volumes. In this work, we present the Small Volume Loader (SVL) for the Surface Patterned Omniphobic Tiles (SPOTs) platform that enables precise deposition on droplet microarrays while minimizing reagent waste. By establishing a physical model of the loading process, we identified that deposition volume is governed by the sum of hydrostatic and Laplace pressures at the reservoir outlet. To optimize performance, we engineered a pressure-compensating flared reservoir geometry that maintains constant total pressure regardless of the remaining liquid level. This design ensures that the deposited volume is independent of reservoir volume and reduces dead volume to 5 L. We demonstrated the platforms utility through high-throughput elicitor screening for natural antimicrobial production from Streptomyces venezuelae. The resulting assays used 100-fold less material than conventional methods, allowing us to conduct over 32,000 assays with modest quantities of starting material. This enabled us to identify specific stressors that optimize the production of the antibiotics chloramphenicol and jadomycin B. Together, we demonstrated improved loading performance for droplet microarray platforms, allowing precise, accessible, and high-throughput assays using only minimal volumes of scarce materials.

microbiology↗

bioRxiv2024

Ultra-high-throughput screening of antimicrobial combination therapies using a two-stage transparent machine learning model

Here, we present M2D2, a two-stage machine learning (ML) pipeline that identifies promising antimicrobial drug combinations, which are crucial for combating drug resistance. M2D2 addresses key challenges in drug combination discovery by predicting drug synergies using computationally generated drug-protein interaction data, thereby circumventing the need for expensive omics data. The model improves the accuracy of drug target identification using high-throughput experimental and computational methods via feedback between ML stages. M2D2s transparent framework provides mechanistic insights into drug interactions and was benchmarked against chemogenomics, transcriptomics, and metabolomics datasets. We experimentally validated M2D2 using high-throughput screening of 946 combinations of Food and Drug Administration (FDA)- approved drugs and antibiotics against Escherichia coli. We discovered synergy between a cerebrovascular drug and a widely used penicillin antibiotic and validated predicted mechanisms of action using genome-wide CRISPR inhibition screens. M2D2 offers a transparent ML tool for rapidly designing combination therapies and guides repurposing efforts while providing mechanistic insights.

systems biology↗

bioRxiv2024

EZ-SPOTs: A simple and robust high-throughput liquid handling platform

Liquid handling is a fundamental capability for many scientific experiments. Previously, we introduced the Surface Patterned Omniphobic Tiles (SPOTs) platform, which enables manipulation of hundreds to thousands of independent experiments without costly equipment or excessive consumable expenses. However, the SPOTs platform requires a custom coating formulation and lacks robustness. To overcome these limitations, we introduce EZ-SPOTs. These devices can be created in an hour with common fabrication tools and just three components - glass, a hydrophobic coating, and acrylic. EZ-SPOTs preserve many of the SPOTs platforms strengths - ease of use, ability to handle a wide range of volumes, and scalability - and adopt a durable and abrasion resistant coating that enables multiple reuses of each device. Here, we describe the fabrication of EZ-SPOTs and showcase how its reusability allows antibiotic susceptibility testing of many isolates using a single device. These results quantitatively match current gold standard assays and the increased throughput provides substantially more information than standard approaches.

bioengineering↗

bioRxiv2024

Surface Patterned Omniphobic Tiles (SPOTs): a versatile platform for scalable liquid handling

Manipulating liquids is a ubiquitous need for experiments across numerous scientific disciplines. To overcome limitations of current methods, we introduce Surface Patterned Omniphobic Tiles (SPOTs). This platform combines geometry and surface engineering, building on discontinuous wetting approaches to leverage capillarity for metering liquids. The SPOTs platform allows manipulation of hundreds to thousands of independent experiments without expensive equipment or large consumable costs. These devices can handle a wide range of liquid types and volumes (<10 nanoliters to >10 microliters) with better precision than pipetting. The platform is inexpensive and easy to fabricate, fast and intuitive to use, and cross-compatible with existing microwell plate layouts. We demonstrate how these capabilities facilitate diverse experiments including testing antibiotic combinations for synergy and antagonism, material screening of perovskites, and genotyping microbial isolates. We anticipate SPOTs will enable users from disparate domains to quickly and easily run a wide range of high-throughput experiments.

bioengineering↗

bioRxiv2024

Structure, motion, and multiscale search of traveling networks

Network models are widely applied to describe connectivity and flow in diverse systems. In contrast, the fact that many connected systems move through space as the result of dynamic restructuring has received little attention. Therefore, we introduce the concept of traveling networks, and we analyze a tree-based model where the leaves are stochastically manipulated to grow, branch, and retract. We derive how these restructuring rates determine key attributes of network structure and motion, enabling a compact understanding of higher-level network behaviors such as multiscale search. These networks self-organize to the critical point between exponential growth and decay, allowing them to detect and respond to environmental signals with high sensitivity. Finally, we demonstrate how the traveling network concept applies to real-world systems, such as slime molds, the actin cytoskeleton, and human organizations, exemplifying how restructuring rules and rates in general can select for versatile search strategies in real or abstract spaces.

biophysics↗

bioRxiv2023

Scalable Genotyping of Microbial Colonies

The sequence of the 16S region is taxonomically informative and widely used for genotyping microbes. While it is easy and inexpensive to genotype several isolates by Sanger sequencing the 16S region, this method becomes quite costly if scaled to many isolates. High throughput sequencing provides one potential avenue for obtaining 16S sequences at scale, but presents additional challenges. First, DNA purification workflows for high-throughput sample preparation are labor intensive and expensive. Second, cost-effective multiplexing and library preparation schemes are difficult to implement for many libraries on a single sequencing run. Therefore, we implemented a scalable protocol for isolate genotyping involving colony polymerase chain reaction (PCR) with simple cell lysis as well as a four barcode indexing scheme that enables scalable multiplexing and streamlined library preparation by amplifying with four primers simultaneously in a single reaction. We tested this protocol on 93 colonies cultured from environmental samples, and we were able to ascertain the identity of [~]90% of microbial isolates.

microbiology↗

bioRxiv2017

Neutral and niche dynamics in a synthetic microbial community

Ecologists debate the relative importance of niche versus neutral processes in understanding biodiversity1,2. This debate is especially pertinent to microbial communities, which play crucial roles in biogeochemical cycling3,4, food production5, industrial processes6,7, and human health and disease8. Here we created a synthetic microbial community using heritable genetic barcodes and tracked community composition over time across a range of experimental conditions. We show that a transition exists between the neutral and niche regimes, and, consistent with theory, the crossover point depends on factors including immigration, fitness, and population size. We find that diversity declined most rapidly at intermediate population sizes, which can be explained by a tradeoff between replacement by migration and duration of growth. We then ran an experiment where the community underwent abrupt or gradual changes in size, the outcome of which highlights that selecting the correct model is essential to managing diversity. Taken together these results emphasize the importance of including niche effects to obtain realistic models across a wide range of parameters, even in simple systems.

microbiology↗