Biology subjects

Nunez, I.

Publications and source records attributed to Nunez, I..

8 recordsLinked to original sources

bioRxiv2026

FluOpti: an open-source system for programmable whole-plate optogenetics and multi-fluorescence imaging

Bacteria are able to self-organize into complex spatial communities, such as colonies, biofilms and swarms. Probing cells and gene networks with dynamic stimuli while preserving their spatial organization is therefore essential for understanding how bacterial communities organize across spatial and temporal scales. Optogenetics offers a powerful approach for such a task given the precise control of stimulus delivery without the perturbations normally associated with the addition of liquid inducers. However, most optogenetics devices have been developed to work with liquid cell cultures or to deliver a spatial pattern without the concurrent recording of gene responses and colony growth. Here, we describe FluOpti, an open source, low-cost device for controlling gene expression, through programmable light inputs, and recording multi-fluorescence responses and colony growth across whole petri dishes. White light LEDs are used for brightfield imaging while green and red LEDs are used as optogenetic inputs to activate and inactivate target genes via the CcaS/R two component system in E. coli. Low cost blue and orange acrylic are used as excitation and emission filters for fluorescence imaging, respectively. We developed custom software to analyze colony growth and optogenetic responses from 72-hour time-lapse experiments. A mathematical model was developed to predict gene expression levels in response to green-to-red light ratio stimuli. We use FluOpti to reveal a spatially structured response to optogenetic stimuli, with gene activation rates differing in cells located at the center and edge of colonies. to validate its use at a whole petri dish scale, FluOpti was used to depict how Voronoi territories can act as predictors of colony size, in congruence with previous studies. Together, these results demonstrate the utility of the device for studying gene networks at multiple spatio-temporal scales, from individual colonies to the whole petri dish. Performing optogenetics studies in whole petri dishes while preserving spatial arrangements could offer valuable insights into the spatial biology of gene networks in microbial populations.

bioengineering↗

bioRxiv2024

Novel Library Assembly Technique for Developing Nanobodies Targeting IPNv VP2 Protein

Infectious pancreatic necrosis virus (IPNv) poses a significant threat to the global salmon farming industry, causing high mortality and economic losses. Given the limitations of traditional antibody therapies in aquaculture, we explored the development of nanobodies targeting the VP2 protein of IPNv. We developed a novel nanobody library generation method using a streamlined assembly protocol based on Type IIS restriction enzymes. This method enabled quick and efficient bacterial display library generation, and concatenated, multi-level cloning through an ingenious design in which the ligation of the first level generates a new restriction site that can be utilized in the subsequent cloning level, allowing for rapid transfer to other vectors. By combining this assembly approach with density gradient-based enrichment and high-throughput screening, we identified nanobodies that specifically recognize IPNvs VP2 protein. Notably, the P9 clone demonstrated high specificity for IPNv in immunofluorescence assays, highlighting its diagnostic potential. Our method not only accelerates nanobody library generation but also enhances its quality and adaptability, marking a significant advancement in enhancing the responsiveness of nanobody development platforms against emerging pathogen outbreaks.

molecular biology↗

bioRxiv2024

Open Educational Resources for distributed hands-on teaching in molecular biology

The urgent need to develop a more equitable bioeconomy has positioned biotechnology capacity building at the forefront of international priorities. However, in many educational institutions, particularly in low-and middle-income countries, this remains a major challenge due to limited access to reagents, equipment, and technical documentation. In this work, we describe Open Educational Resources (OER) composed of locally produced biological reagents, open source hardware and free software to teach fundamental techniques in biotechnology such as LAMP DNA amplification, RT-PCR RNA detection, enzyme kinetics and fluorescence imaging. The use of locally produced reagents and devices reduces costs by up to one order of magnitude. During the pandemic lockdowns, these tools were distributed nationwide to students homes as a lab-in-a-box for remote teaching of molecular biology. To test their performance, a total of 93 undergraduate students tested these resources during a biochemistry practical course. 27 out of 31 groups ([~]87%) successfully achieved the objectives of the PCR activity, while 28 out of 31 groups ([~]90%) correctly identified the target using LAMP reactions. To assess the potential application in secondary school, we organized three workshops for high school teachers from different institutions across Chile and performed an anonymous questionnaire, obtaining a strong agreement on how these OER broaden teachers perspectives on the techniques and facilitate the teaching of molecular biology topics. This effort was made possible through a close collaboration with open source technology advocates and members of DIYbio communities, whose work is paving the way for low-cost training in biology. All the protocols and design files are available under open source licenses.

molecular biology↗

bioRxiv2021

The Orb6-Sts5 Axis Regulates Stress Granule Formation and Heat Stress Response in Fission Yeast

Cellular response to environmental fluctuations, such as increased temperature, is crucial in promoting cell survival and plays an increasingly recognized role in cancer biology. Important cellular functions altered by heat stress are cell polarization and protein translation. Previous studies have shown that heat stress alters the dynamics of Cdc42, a key regulator of cell polarization in eukaryotes, and promotes RNP granule formation, reprogramming protein translation. The biological mechanisms underlying these vast changes are only partially known. Here, we report that conserved NDR kinase Orb6, a homologue of mammalian STK38, responds to heat stress and regulates heat stress resilience by modulating Cdc42 dynamics and promoting stress granule assembly. Also, we discovered a finely tuned mechanism whereby stress-activated MAP kinase Sty1 negatively regulates Orb6 kinase and Orb6 C-terminal phosphorylation during heat stress. Orb6 inhibition by Sty1 increases the sensitivity of the cell to heat stress in a temperature-specific manner, fostering increased stress resilience and metabolic adaptation. These observations highlight the role of NDR kinase in the process of heat adaptation and thermotolerance during environmental cell exposure to elevated temperatures. Summary statementNuclear Dbf2-related kinase Orb6 inhibition by stress-activated protein kinase Sty1 promotes heat stress resilience in a temperature specific manner.

cell biology↗

bioRxiv2020

Cdc42 GTPase Activating Proteins (GAPs) Maintain Generational Inheritance of Cell Polarity and Cell Shape in Fission Yeast

The highly conserved small GTPase Cdc42 regulates polarized cell growth and morphogenesis from yeast to humans. We previously reported that Cdc42 activation exhibits oscillatory dynamics in Schizosaccharomyces pombe cells. Mathematical modeling suggests that this dynamic behavior enables a variety of symmetric and asymmetric Cdc42 distributions to coexist in cell populations. For individual wild type cells, however, growth follows a stereotypical pattern where Cdc42 distribution is initially asymmetrical in young daughter cells and becomes more symmetrical as cell volume increases, enabling bipolar growth activation. To explore whether different states of Cdc42 activation are possible in a biological context, we examined S. pombe rga4{Delta} mutant cells, lacking the Cdc42 GTPase activating protein (GAP) Rga4. We found that monopolar rga4{Delta} mother cells divide asymmetrically leading to the emergence of both symmetric and asymmetric Cdc42 distributions in rga4{Delta} daughter cells. Using genetic screening approaches to identify mutants that alter the rga4{Delta} phenotype, we tested the predictions of different computational models that reproduce the unequal fate of daughter cells. We found experimentally that the unequal distribution of active Cdc42 GTPase in daughter cells is consistent with an unequal inheritance of another Cdc42 GAP, Rga6, in the two daughter cells. Our findings highlight the crucial role of Cdc42 GAP protein localization in determining the morphological fate of cell progeny and ensuring consistent Cdc42 activation and growth patterns across generations.

cell biology↗

bioRxiv2019

Universal Loop assembly (uLoop): open, efficient, and species-agnostic DNA fabrication

Standardised Type IIS DNA assembly methods are becoming essential for biological engineering and research. Although a common syntax has been proposed to enable higher interoperability between DNA libraries, Golden Gate (GG)-based assembly systems remain specific to target organisms. Furthermore, these GG assembly systems become laborious and unnecessarily complicated beyond the assembly of 4 transcriptional units. Here, we describe \"universal Loop\" (uLoop) assembly, a simple system based on Loop assembly that enables hierarchical fabrication of large DNA constructs (> 30 kb) for any organism of choice. uLoop comprises two sets of four plasmids that are iteratively used as odd and even levels to compile DNA elements in an exponential manner (4n-1). The elements required for transformation/maintenance in target organisms are also assembled as standardised parts, enabling customisation of host-specific plasmids. Thus, this species-agnostic method decouples efficiency of assembly from the stability of vectors in the target organism. As a proof-of-concept, we show the engineering of multi-gene expression vectors in diatoms, yeast, plants and bacteria. These resources will become available through the OpenMTA for unrestricted sharing and open-access.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=144 SRC=\"FIGDIR/small/744854v2_ufig.gif\" ALT=\"Figure 1\">\nView larger version (31K):\norg.highwire.dtl.DTLVardef@c36f4forg.highwire.dtl.DTLVardef@c0b007org.highwire.dtl.DTLVardef@64c810org.highwire.dtl.DTLVardef@8a94b0_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2019

Phase space characterization for gene circuit design

Genetic circuit design requires characterization of the dynamics of synthetic gene expression. This is a difficult problem since gene expression varies in complex ways over time and across different contexts. Here we present a novel method for characterizing the dynamics of gene expression with a few parameters that account for changes in cellular context (host cell physiology) and compositional context (adjacent genes). The dynamics of gene circuits were characterized by a trajectory through a multi-dimensional phase space parameterized by the expression levels of each of their constituent transcriptional units (TU). These trajectories followed piecewise linear dynamics, with each dynamical regime corresponding to different growth regimes, or cellular contexts. Thus relative expression rates were changed by transitions between growth regimes, but were constant in each regime. We present a plausible two-factor mathematical model for this behavior based on resource consumption. By analyzing different combinations of TUs, we then showed that relative expression rates were significantly affected by the neighboring TU (compositional context), but maintained piecewise linear dynamics across cellular and compositional contexts. Taken together these results show that TU expression dynamics could be predicted by a reference TU up to a context dependent scaling factor. This model provides a framework for design of genetic circuits composed of TUs. A common sharable reference TU may be chosen and measured in the cellular contexts of interest. The output of each TU in the circuit may then be predicted from a simple function of the output of the reference TU in the given cellular context. This will aid in genetic circuit design by providing simple models for the dynamics of gene circuits and their constituent TUs.

synthetic biology↗

bioRxiv2017

Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering

The advent of easy-to-use open source microcontrollers, off-the-shelf electronics and customizable manufacturing technologies has facilitated the development of inexpensive scientific devices and laboratory equipment. In this study, we describe an imaging system that integrates low-cost and open-source hardware, software and genetic resources. The multi-fluorescence imaging system consists of readily available 470 nm LEDs, a Raspberry Pi camera and a set of filters made with low cost acrylics. This device allows imaging in scales ranging from single colonies to entire plates. We developed a set of genetic components (e.g. promoters, coding sequences, terminators) and vectors following the standard framework of Golden Gate, which allowed the fabrication of genetic constructs in a combinatorial, low cost and robust manner. In order to provide simultaneous imaging of multiple wavelength signals, we screened a series of long stokes shift fluorescent proteins that could be combined with cyan/green fluorescent proteins. We found CyOFP1, mBeRFP and sfGFP to be the most compatible set for 3-channel fluorescent imaging. We developed open source Python code to operate the hardware to run time-lapse experiments with automated control of illumination and camera and a Python module to analyze data and extract meaningful biological information. To demonstrate the potential application of this integral system, we tested its performance on a diverse range of imaging assays often used in disciplines such as microbial ecology, microbiology and synthetic biology. We also assessed its potential for STEM teaching in a high school environment, using it to teach biology, hardware design, optics, and programming. Together, these results demonstrate the successful integration of open source hardware, software, genetic resources and customizable manufacturing to obtain a powerful, low cost and robust system for STEM education, scientific research and bioengineering. All the resources developed here are available under open source licenses.

synthetic biology↗